A Building Energy Visualization System and Method Based on the Coupling of BIM and Predictive Control

Abstract

The present invention provides a building energy visualization system and method based on the coupling of BIM and predictive control for building energy visualization, which includes retrieving the data stored in the BIM building model and establishing a data set; establishing a predictive control model according to the historical data in the data set in combination with the predictive control algorithm; wherein, the predictive control model calculates the prediction result of the state parameters of the actual building energy system at future moments based on the data of the actually collected building energy system and the system operation parameters, and inputs the prediction result of the state parameters into the BIM building model for visual display; based on the prediction result of the state parameters, the predictive control model calculates the start-stop strategy data and operation parameter data of the controlled equipment, converts them into instructions and issues them to execute the regulation operation on the actual building energy system; collects the regulation operation result and updates the visual display content. The present invention realizes the display of the changes of future parameters in the predictive control process on the model, and realizes the three-dimensional dynamic display of data on the model.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent building energy systems, and particularly relates to a building energy visualization system and method based on the coupling of BIM and predictive control. Background Art

[0002] BIM is a data-based tool applied to engineering design, construction, and management, mainly for the application of microscopic single buildings. It can integrate various relevant information data of a building engineering project in a model and quickly achieve behaviors such as creation, splitting, and integration. It can also support viewing, sharing, extraction, analysis, and utilization of the model and information in multiple dimensions, providing accurate data for each stage of the project in a timely manner. However, the existing BIM visualization devices for building energy systems still have deficiencies. Specifically, in the existing technology, it is impossible to accurately, real-time, and efficiently display the changes in future parameters during the predictive control process on the model.

[0003] Therefore, those skilled in the art urgently need to provide a method to display the changes in future parameters during the predictive control process on the model and achieve three-dimensional dynamic data display on the model. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a building energy visualization system and method based on the coupling of BIM and predictive control to solve the technical problems existing in the above-mentioned prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A building energy visualization method based on the coupling of BIM and predictive control, comprising the following steps:

[0007] Pre-construct a BIM building model based on BIM technology and building data;

[0008] Retrieve the data stored in the BIM building model and establish a data set;

[0009] Establish a predictive control model according to the historical data in the data set and in combination with a predictive control algorithm;

[0010] Wherein, the predictive control model calculates the prediction result of the state parameters of the actual building energy system at future moments based on the data of the actual building energy system and the system operation parameters collected, and inputs the prediction result of the state parameters into the BIM building model for visual display;

[0011] Based on the predicted results of the state parameters, the predictive control model calculates the start-stop strategy data and operating parameter data of the controlled device, converts them into instructions and issues them, and executes the regulation operation on the actual building energy system;

[0012] Collect the results of the regulation operation, and update the visual display content based on the results of the regulation operation.

[0013] Preferably, the predictive control model includes: a production capacity prediction model, a building load prediction model, a building room temperature prediction model, and a device energy efficiency model, and is constituted by combining a model predictive control algorithm.

[0014] Preferably, the data stored in the BIM building model is retrieved. Specifically, the parameters in the BIM building model are used to retrieve data from the storage device of the BIM building model by using a COBie plug-in to form the data set.

[0015] Preferably, the BIM building model and the predictive control model are displayed on the same operation interface.

[0016] A building energy visualization system based on the coupling of BIM and predictive control includes: a prediction module, a building simulation and display module, a collection device, and an actual building system;

[0017] The building simulation and display module is used to provide data to form a data set capable of establishing a prediction module;

[0018] The prediction module is used to calculate the predicted results of the state parameters of the actual building energy system at future moments by using the data of the actual building energy system and the system operation parameters collected, and input the predicted results of the state parameters into the building simulation and display module for visual display; the prediction module, based on the predicted results of the state parameters, calculates the start-stop strategy data and operating parameter data of the controlled device, converts them into instructions and issues them, and executes the regulation operation on the actual building energy system;

[0019] The collection device is communicatively connected to the building simulation and display module, and is used to collect the results of the regulation operation of the actual building energy system in real time and transmit them to the building simulation and display module.

[0020] Preferably, the prediction module is constituted by a predictive control model; wherein the predictive control model includes: a production capacity prediction model, a building load prediction model, a building room temperature prediction model, and a device energy efficiency model, and is constituted by combining a model predictive control algorithm.

[0021] Preferably, the building simulation and display module is composed of a BIM building model; the parameters in the BIM building model retrieve data from the storage device of the BIM building model using a COBie plugin to form the data set.

[0022] Preferably, the building simulation and display module and the prediction module are displayed on the same operation interface.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] The regulated parameters can be displayed on the same interface as the predicted parameters for future moments, enabling the visualization of the regulation effect of the predictive control model on the actual building energy system, achieving the coupling of visualization and predictive control, with the advantages of clarity, intuitiveness, and predictable control. The BIM building model and various parameters are displayed on the same interface, allowing project workers to intuitively view the parameters of each part before and after corresponding regulation, facilitating better communication, discussion, and decision-making among project workers, enabling 3D simulation of the project content, and making it more convenient for project commissioning and improvement. The coupling of the predictive control model and visualization facilitates real-time monitoring of the parameters of the building energy system and timely adjustment, further improving the comfort and energy efficiency of the building. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the system framework of the present invention.

[0026] Figure 2 It is a flowchart of the operation of the coupling of the predictive control model and the BIM building model. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The technical solutions provided by the present invention will be described in detail below in conjunction with the embodiments, but they should not be construed as limiting the protection scope of the present invention.

[0028] Embodiment 1:

[0029] This embodiment discloses a building energy visualization method based on the coupling of BIM and predictive control, including the following steps:

[0030] Pre-construct a BIM building model based on BIM technology and building data;

[0031] Retrieve the data stored in the BIM building model and establish a data set;

[0032] Establish a predictive control model based on the historical data in the data set and in combination with the predictive control algorithm;

[0033] Among them, the predictive control model calculates the prediction results of the state parameters of the actual building energy system at future moments based on the data of the actual building energy system collected and the system operation parameters, and inputs the prediction results of the state parameters into the BIM building model for visual display;

[0034] Based on the prediction results of the state parameters, the predictive control model calculates the start-stop strategy data and operation parameter data of the controlled equipment, converts them into instructions and issues them, and executes the regulation operation of the actual building energy system;

[0035] Collect the results of the regulation operation, and update the visual display content based on the results of the regulation operation.

[0036] Specifically

[0037] It should be noted that the predictive control model is composed of a production capacity prediction model, a building load prediction model, a building room temperature prediction model, an equipment energy efficiency model, and a model predictive control algorithm. It can predict the production capacity of the energy source at each moment; it can predict the building indoor load and various parameters at each future moment, such as room temperature, humidity, etc.; it can guide the precise energy supply, effectively avoid energy waste while ensuring that the building indoor parameters are within a suitable range; in addition, it can also obtain the operation efficiency of the energy equipment at each moment. The model predictive control algorithm has the advantages of simple mathematical form and strong robustness, has good predictability for the future state of the building system, can use the Python program to retrieve the information in the dataset, make predictions and then issue instructions to the actuator, so that the actuator can reach the predicted value through adjustment, effectively balance energy consumption and building thermal comfort, and achieve accurate, stable and efficient control effects, which is a good control framework for energy-saving optimal operation. Specifically, the established production capacity prediction model can obtain data to predict the energy efficiency value at future moments; the building load prediction model can predict and analyze the three factors affecting the hourly building heat load, namely building body characteristics, building internal disturbances and external disturbances; the building room temperature prediction model predicts the indoor temperature at the next moment based on parameters such as the current indoor temperature, outdoor dry-bulb temperature and the heating load in the next hour.

[0038] Among them, retrieving the data stored in the BIM building model is specifically to retrieve the data from the storage device of the BIM building model by using the COBie plug-in with the parameters in the BIM building model to form a dataset.

[0039] Furthermore, the BIM building model and the predictive control model are displayed on the same operation interface.

[0040] For the BIM building model, the core is to establish a virtual three-dimensional model of the building project and use digital technology to provide a complete building project information database that is consistent with the actual situation. Currently, most of the construction industry uses two-dimensional drawings or on-site surveys. As a rising technology in the construction industry, BIM not only has the three-dimensional visualization characteristics that two-dimensional drawings do not have, but also can restore the physical building and the energy system 1:1 and display it in the form of a three-dimensional model. Applying BIM technology can integrate scattered building information organically. From the conceptual design stage to the end of the entire life cycle of the building, all the information involved in such a long cycle can be collected and sorted through the application of BIM technology, and finally gathered into a huge information database to achieve full collection of information and present all the information in the three-dimensional model of this building.

[0041] Embodiment 2

[0042] This Embodiment 2 discloses a building energy visualization system based on the coupling of BIM and predictive control, including: a prediction module, a building simulation and display module, a collection device, and an actual building system;

[0043] The building simulation and display module is used to provide data to form a data set capable of establishing the prediction module;

[0044] The prediction module is used to calculate the predicted result of the state parameters of the actual building energy system at future moments through the data of the actual building energy system and the system operation parameters collected, and input the predicted result of the state parameters into the building simulation and display module for visual display; the prediction module, based on the predicted result of the state parameters, calculates the start-stop strategy data and operation parameter data of the controlled equipment, converts them into instructions and issues them, and executes the regulation operation on the actual building energy system;

[0045] The collection device is communicatively connected to the building simulation and display module, and is used to collect the regulation operation results of the actual building energy system in real time and transmit them to the building simulation and display module.

[0046] Specifically

[0047] Among them, the prediction module is composed of a predictive control model; the predictive control model includes: a production capacity prediction model, a building load prediction model, a building room temperature prediction model, and an equipment energy efficiency model, and is combined with a model predictive control algorithm.

[0048] Among them, the building simulation and display module consists of a BIM building model; the parameters in the BIM building model use the COBie plug-in to retrieve data from the storage device of the BIM building model to form a data set. Among them, the BIM building model receives data through the API interface and performs data linkage with the real-time data obtained by the sensors on the actual building energy system; after the data is input into the BIM building model, it is visually displayed on the BIM building model in three dimensions, enabling the BIM building model to dynamically display data changes; the historical data of the BIM building model will be stored to facilitate the subsequent retrieval of data from the BIM building model using the CoBie plug-in to form a data set.

[0049] Furthermore, the building simulation and display module and the prediction module are displayed on the same operation interface, enabling the BIM building model to also visually display various decisions during the operation of the predictive control model, achieving the purpose of coupling visualization and control.

[0050] During the actual system operation, a predictive control model is established using a Python program based on the historical data in the data set. The predictive control model calculates the parameters at future times, such as indoor load, room temperature, etc. According to the predicted state parameters at future times, the start-stop strategy and operating parameters of the equipment are calculated through the controller, and instructions are sent to the actuators of the actual building energy system. After the actuators start and stop to make the parameters of the actual building energy system meet the control requirements, the data collected by the sensors is linked with the BIM building model through the API interface, and the data can be dynamically displayed on the BIM model, making the changes of various parameters during the control process correspond one by one with the BIM building model. The parameters at the predicted future times and the BIM building model are simultaneously displayed on the interface, achieving the purpose of coupling visualization and control, and having the advantages of intuitive clarity and predictable control.

[0051] The above is only the preferred implementation mode of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and refinements can still be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A building energy visualization method based on the coupling of BIM and predictive control, characterized in that, It includes the following steps: Pre - construct a BIM building model based on BIM technology and building data; Retrieve the data stored in the BIM building model and establish a data set; Establish a predictive control model according to the historical data in the data set and in combination with the predictive control algorithm; Among them, the predictive control model calculates the predicted result of the state parameters of the actual building energy system at a future moment through the data of the actually collected building energy system and the system operation parameters, and inputs the predicted result of the state parameters into the BIM building model for visual display; Based on the predicted result of the state parameters, the predictive control model calculates the start - stop strategy data and operation parameter data of the controlled equipment, converts them into instructions and issues them, and executes the regulation operation on the actual building energy system; Collect the result of the regulation operation, and update the visual display content based on the result of the regulation operation.

2. The building energy visualization method based on the coupling of BIM and predictive control according to claim 1, wherein, The predictive control model includes: a production capacity prediction model, a building load prediction model, a building room temperature prediction model, and an equipment energy efficiency model.

3. A building energy visualization method based on the coupling of BIM and predictive control according to claim 1, characterized in that, Retrieving the data stored in the BIM building model is specifically to use the COBie plug - in in the BIM building model to retrieve data from the storage device of the BIM building model to form the data set.

4. A building energy visualization method based on the coupling of BIM and predictive control according to claim 1, characterized in that, The BIM building model and the predictive control model are displayed on the same operation interface.

5. A building energy visualization system based on the coupling of BIM and predictive control, characterized in that, It includes: A prediction module, a building simulation and display module, a collection device, and an actual building system; The building simulation and display module is used to provide data to form a data set for establishing the prediction module; The prediction module is used to calculate the predicted result of the state parameters of the actual building energy system at a future moment through the data of the actually collected building energy system and the system operation parameters, and input the predicted result of the state parameters into the building simulation and display module for visual display; the prediction module, based on the predicted result of the state parameters, calculates the start - stop strategy data and operation parameter data of the controlled equipment, converts them into instructions and issues them, and executes the regulation operation on the actual building energy system; The collection device is communicatively connected to the building simulation and display module, and is used to collect the result of the regulation operation of the actual building energy system in real time and transmit it to the building simulation and display module.

6. The building energy visualization system based on the coupling of BIM and predictive control according to claim 5, wherein The prediction module is composed of a predictive control model; among them, the predictive control model includes: a production capacity prediction model, a building load prediction model, a building room temperature prediction model, and an equipment energy efficiency model, and is composed in combination with the model predictive control algorithm.

7. A building energy visualization system based on the coupling of BIM and predictive control according to claim 5, characterized in that, The building simulation and display module is composed of a BIM building model; the parameters in the BIM building model use the COBie plug - in to retrieve data from the storage device of the BIM building model to form the data set.

8. A building energy visualization method based on the coupling of BIM and predictive control according to claim 5, characterized in that The building simulation and display module and the prediction module are displayed on the same operation interface.

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