Building performance evaluation method, device and equipment based on digital twinning and medium

Abstract

The embodiment of the invention discloses a building performance evaluation method and device based on digital twinning, equipment and a medium. The method comprises the following steps: acquiring a building performance evaluation standard, and analyzing the evaluation standard to obtain calculation standard information of a building performance evaluation index; obtaining building data of the to-be-evaluated building based on the digital twin model, matching the building data with the calculation standard information, and determining a target evaluation index suitable for the to-be-evaluated building; determining a calculation value of the target evaluation index according to the building data and a calculation mode in target calculation standard information corresponding to the target evaluation index; and comparing the calculated value with a reference value in the target calculation standard information, and performing performance evaluation on the to-be-evaluated building. According to the method, automatic evaluation of the building performance can be realized, the evaluation result is dynamically adjusted in real time according to the evaluation standard, and reliable evaluation of the building performance is realized by adopting the most suitable target evaluation index.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a building performance evaluation method, device, equipment and medium based on digital twins. Background Art

[0002] Building performance is a comprehensive expression of the effectiveness of building assets. The evaluation conclusion that accurately reflects the actual performance of the building is crucial to building operation management, building transactions, building asset securitization, information disclosure and other work.

[0003] The existing building performance assessment method is mainly carried out manually, that is, professional assessors conduct on-site inspections and data collection of buildings, and evaluate the performance of buildings based on certain assessment standards and methods.

[0004] In the existing building performance evaluation methods, the building performance evaluation is inefficient and costly due to the need for a lot of on-site work and manpower input. In addition, since the evaluation results are affected by the subjective factors of the evaluators, there may be subjective bias, uncertainty, and it may not be possible to conduct a comprehensive building performance evaluation. Summary of the invention

[0005] The present invention provides a building performance evaluation method, device, equipment and medium based on digital twins to automatically evaluate building performance and improve the reliability, comprehensiveness and real-time performance of the evaluation.

[0006] According to one aspect of the present invention, a building performance evaluation method based on digital twins is provided, the method comprising:

[0007] Obtaining building performance evaluation standards, and parsing the evaluation standards to obtain calculation standard information of building performance evaluation indicators;

[0008] Acquire building data of the building to be evaluated based on the digital twin model, match the building data with the calculation standard information, and determine target evaluation indicators applicable to the building to be evaluated;

[0009] Determining a calculated value of the target evaluation indicator according to the building data and a calculation method in the target calculation standard information corresponding to the target evaluation indicator;

[0010] The calculated value is compared with the reference value in the target calculation standard information to perform a performance evaluation on the building to be evaluated.

[0011] According to another aspect of the present invention, a building performance evaluation device based on digital twin is provided, the device comprising:

[0012] A building performance evaluation index determination module is used to obtain building performance evaluation standards and parse the evaluation standards to obtain calculation standard information of building performance evaluation indicators;

[0013] A target evaluation index determination module is used to obtain the building data of the building to be evaluated based on the digital twin model, and match the building data with the calculation standard information to determine the target evaluation index applicable to the building to be evaluated;

[0014] A calculation value determination module, used to determine the calculation value of the target evaluation index according to the building data and the calculation method in the target calculation standard information corresponding to the target evaluation index;

[0015] The performance evaluation module is used to compare the calculated value with the reference value in the target calculation standard information to perform performance evaluation on the building to be evaluated.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] at least one processor; and

[0018] a memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the digital twin-based building performance assessment method described in any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the digital twin-based building performance evaluation method described in any embodiment of the present invention when executed.

[0021] According to another aspect of the present invention, a computer program product is provided, including a computer program, which, when executed by a processor, implements the building performance assessment method based on digital twins described in any embodiment of the present invention.

[0022] The technical solution of the embodiment of the present invention obtains the building performance evaluation standard and parses the evaluation standard to obtain the calculation standard information of the building performance evaluation index; obtains the building data of the building to be evaluated based on the digital twin model, matches the building data with the calculation standard information, and determines the target evaluation index applicable to the building to be evaluated; determines the calculated value of the target evaluation index according to the calculation method in the target calculation standard information corresponding to the building data and the target evaluation index; compares the calculated value with the benchmark value in the target calculation standard information to perform performance evaluation on the building to be evaluated, which solves the problem that the building performance evaluation relies on manual means and cannot be comprehensively and real-timely and reliably evaluated, realizes the automated evaluation of building performance, enables the evaluation results to be dynamically adjusted in real time according to the evaluation standard, and adopts the most suitable target evaluation index to achieve reliable evaluation of building performance.

[0023] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 is a flow chart of a building performance evaluation method based on digital twins provided according to Embodiment 1 of the present invention;

[0026] Figure 2 is a flow chart of a building performance evaluation method based on digital twins provided according to Embodiment 2 of the present invention;

[0027] Figure 3 is a structural schematic diagram of a building performance evaluation device based on digital twins provided according to Embodiment 3 of the present invention;

[0028] Figure 4 It is a structural schematic diagram of an electronic device for implementing the building performance evaluation method based on digital twins according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] Embodiment 1

[0032] Figure 1 This is a flowchart of a building performance evaluation method based on digital twins provided according to the first embodiment of the present invention. This embodiment can be applied to the situation where the performance of a building is evaluated in real time according to industry standards. The method can be executed by a building performance evaluation device based on digital twins. The building performance evaluation device based on digital twins can be implemented in the form of hardware and / or software. The building performance evaluation device based on digital twins can be configured in an electronic device such as a computer or a monitor. Figure 1 As shown, the method includes:

[0033] Step 110: Obtain building performance evaluation standards, and parse the evaluation standards to obtain calculation standard information of building performance evaluation indicators.

[0034] Among them, the building performance evaluation standards can be obtained from data sources such as official websites, industry associations, and academic journals. The building performance evaluation standards can include real-time information such as newly added or revised building design specifications, industry standards, and technology development trends. The building performance evaluation standards can be obtained through the data acquisition interface. Through automated scripts, the building performance evaluation standards can be regularly checked for data source updates. The analysis of the evaluation standards can be achieved through technologies such as natural language processing (NLP) or large language models. By parsing the acquired building performance evaluation standards and storing the parsed data, an index can be established for quick retrieval. According to the results obtained from the analysis, the calculation standard information of the building performance evaluation indicators can be obtained.

[0035] The calculation standard information of building performance evaluation indicators includes, but is not limited to: the definition of evaluation indicators, calculation methods, data requirements, and indicator benchmarks. For example, the calculation standard information includes adding new evaluation indicators, deleting outdated evaluation indicators, modifying the definition of evaluation indicators, improving calculation formulas, introducing new calculation models, adding new data types, updating industry benchmark values, and adjusting industry benchmark ranges.

[0036] Optionally, before determining the calculation standard information of the building performance evaluation index through the building performance evaluation standard, the building performance evaluation index can be initialized. Based on the initialization operation combined with the real-time acquisition of the building performance evaluation standard, the perfection of the evaluation index is achieved to comprehensively evaluate the building performance.

[0037] In an optional implementation of an embodiment of the present invention, a building performance evaluation standard is obtained, and the evaluation standard is parsed to obtain calculation standard information of the building performance evaluation index, including: obtaining a preset building performance evaluation index and corresponding preset calculation standard information in a preset index library; obtaining the building performance evaluation standard and parsing the evaluation standard; and correcting the preset building performance evaluation index and corresponding preset calculation standard information in the preset index library according to the parsing result to obtain the calculation standard information of the building performance evaluation index.

[0038] The preset index library may be a knowledge base pre-built based on expert knowledge for evaluating building performance. The preset index library may include preset building performance evaluation indicators and corresponding preset calculation standard information. The preset building performance evaluation indicators may include static evaluation indicators and dynamic evaluation indicators.

[0039] The calculated value of the static evaluation index is a fixed value that does not change over time. The technical parameters are derived from the static information of the building. The static evaluation index reflects the static performance of the building's physical properties, functions and design. Static evaluation indicators include but are not limited to: building area, building height, building structure type, building material type, building thermal insulation performance, building sound insulation performance, rationality of functional zoning, and rationality of traffic flow lines.

[0040] The calculated value of dynamic evaluation index changes with time and space, and the calculation parameters are derived from the static and dynamic information of the building. Dynamic evaluation indicators reflect the dynamic performance of the building, such as the operating status, usage, and safety hazards. Dynamic evaluation indicators include but are not limited to: building energy consumption, building carbon emissions, indoor environmental quality, meter data, indoor temperature, equipment operating status, and equipment maintenance.

[0041] In the preset indicator library, the calculation method of each evaluation indicator can be defined and a mapping relationship can be formed. Each evaluation indicator can correspond to one or more indicator calculation methods. The preset calculation standard information includes but is not limited to: the definition of the evaluation indicator, the calculation method, the data requirements, and the indicator benchmark.

[0042] On the basis of the preset indicator library, the updated building performance evaluation standards can be further obtained in real time, and the evaluation standards can be analyzed; according to the analysis results, the preset building performance evaluation indicators in the preset indicator library and the corresponding preset calculation standard information are corrected to obtain the calculation standard information of the building performance evaluation indicators.

[0043] By correcting indicator information based on the preset indicator library and combining it with the real-time updated building performance evaluation standards, the standardization and normalization of building performance evaluation can be achieved, the accuracy, reliability and interpretability of the evaluation results can be improved, and a scientific basis can be provided for building performance improvement.

[0044] Step 120: Acquire the building data of the building to be evaluated based on the digital twin model, match the building data with the calculation standard information, and determine the target evaluation indicators applicable to the building to be evaluated.

[0045] In the embodiment of the present invention, programming languages ​​such as Java and JavaScript can be used to call the application interface (API) of the digital twin model to obtain the existing data in the digital twin model and obtain the building data of the building to be evaluated. The building data may include but is not limited to: data semantic meaning, physical quantity unit, data accuracy, and association relationship labels.

[0046] Data preprocessing can be performed on the acquired building data. Data preprocessing includes but is not limited to: data validation, data cleaning, and data conversion. Data validation can verify the integrity and consistency of the data to ensure that all necessary data fields have been collected and are not missing. Data filling can be performed for missing values. For example, data filling can be performed through interpolation, averaging, machine learning prediction, etc. Data cleaning can be to identify and process outliers in the data. For example, outliers in the data can be identified and processed through box plot analysis, and outliers can be removed. Data conversion can be to convert data into a format or unit suitable for calculation. For example, converting a timestamp from one format to another. Unit conversion can ensure that all data units are consistent. For example, all temperature data are in the same temperature unit (such as Celsius).

[0047] The matching of building data and calculation standard information can be used to determine whether the current building data is applicable to the evaluation index, so as to perform building performance evaluation calculation. In the same building performance evaluation, one or more evaluation indicators are corresponding. For example, the evaluation of building energy efficiency can correspond to the energy saving index per unit area and the annual total electricity consumption index. For the acquired building data, it can be determined whether it matches the energy saving index per unit area or the annual total electricity consumption index, thereby determining the target evaluation index used in the building energy efficiency evaluation.

[0048] In an optional implementation of an embodiment of the present invention, building data is matched with calculation standard information to determine target evaluation indicators applicable to the building to be evaluated, including: matching characteristics of the building data with data requirement characteristics in the calculation standard information to determine the degree of matching between the building data and multiple reference indicators in the same performance evaluation; and using the indicator corresponding to the highest matching degree among multiple reference indicators in the same performance evaluation as the target evaluation indicator applicable to the building to be evaluated.

[0049] The data requirement characteristics include at least one of the following: data type, data source, data accuracy, data update frequency, and data quality. Each data requirement characteristic may have a different weight. By weighted matching of the building data characteristics with each item in the data requirement characteristics, the matching degree is determined, and the indicator corresponding to the highest matching degree among multiple reference indicators in the same performance evaluation can be used as the target evaluation indicator for the building to be evaluated.

[0050] Step 130: Determine the calculated value of the target evaluation index according to the building data and the calculation method in the target calculation standard information corresponding to the target evaluation index.

[0051] According to the calculation formula of the target evaluation index, the building data can be obtained in real time or at a fixed time period for calculation, and the calculated value of the corresponding index can be stored synchronously. The calculated value can be used as the evaluation result of a certain time point or time period, or it can be further integrated and calculated for different groups of index calculation values ​​when the user or client has other requests. For example, the overall change trend of a specific indicator in a certain space in the building can be obtained, which is convenient for understanding the problem time period and making timely responses.

[0052] In addition, other calculations can be performed on indicators of different groups, for example, calculating the average indoor temperature of a space within a certain period of time and the duration that the indoor temperature exceeds the standard within a certain period of time. For example, the average indoor temperature and the duration that the indoor temperature exceeds the standard in an office for one week are calculated. According to the analysis of the building performance evaluation standard (air conditioning service standard), the comfortable temperature range of the office is 22 to 24°C. The building data obtained is the indoor temperature data of the space, with 1 dynamic data every 15 minutes, for a total of 668 data, [23.4, 23.4, 23.4...23.5]. According to the calculation method, the evaluation space is within 1 week (such as May 10, 2022-May 16, 2022)

[0053] According to the calculation method, the evaluation period is within 1 week (such as May 10, 2022 to May 16, 2022)

[0054] The calculated values ​​of the target evaluation indicators, such as the average temperature and the duration of temperature exceeding the standard, can be stored in the database and associated with the corresponding building space identifier and the evaluation timestamp.

[0055] Step 140: Compare the calculated value with the benchmark value in the target calculation standard information, and perform performance evaluation on the building to be evaluated.

[0056] When the calculated value is within the corresponding benchmark value range, it is determined that the building to be evaluated meets the performance corresponding to the target evaluation index; otherwise, it is determined that the building to be evaluated does not meet the performance corresponding to the target evaluation index.

[0057] For example, in the above example, when evaluating the indoor comfort of the building, the calculated value of the average indoor temperature of the building, 23.52°C, can be compared with the benchmark value (the comfortable temperature range of the office is 22 to 24°C), and it can be determined that the building meets the indoor comfort. Alternatively, in the above example, when evaluating the indoor comfort of the building, the calculated value of the duration of the indoor temperature exceeding the standard (416.25 hours) can be compared with its corresponding benchmark value. When the calculated value is lower than the corresponding benchmark value, it is determined that the building meets the indoor comfort; otherwise, it is determined that the building does not meet the indoor comfort.

[0058] The technical solution of this embodiment obtains the building performance evaluation standard and parses the evaluation standard to obtain the calculation standard information of the building performance evaluation index; obtains the building data of the building to be evaluated based on the digital twin model, matches the building data with the calculation standard information, and determines the target evaluation index applicable to the building to be evaluated; determines the calculated value of the target evaluation index according to the calculation method in the target calculation standard information corresponding to the building data and the target evaluation index; compares the calculated value with the benchmark value in the target calculation standard information to perform performance evaluation on the building to be evaluated, which solves the problem that the building performance evaluation relies on manual means and cannot be comprehensively and real-timely and reliably evaluated, realizes the automated evaluation of building performance, enables the evaluation results to be dynamically adjusted in real time according to the evaluation standard, and adopts the most suitable target evaluation indicator to achieve reliable evaluation of building performance.

[0059] Embodiment 2

[0060] Figure 2 is a flowchart of a building performance evaluation method based on digital twins provided according to Embodiment 2 of the present invention. This embodiment is a further refinement of the above technical solution. The technical solution in this embodiment can be combined with each optional solution in one or more of the above embodiments. Figure 2 As shown, the method includes:

[0061] Step 210: Obtain building performance evaluation standards, and parse the evaluation standards to obtain calculation standard information of building performance evaluation indicators.

[0062] Optionally, the building performance evaluation standard is obtained, and the evaluation standard is parsed to obtain calculation standard information of the building performance evaluation index, including: obtaining preset building performance evaluation indicators and corresponding preset calculation standard information in a preset indicator library; obtaining the building performance evaluation standard and parsing the evaluation standard; and correcting the preset building performance evaluation indicators and corresponding preset calculation standard information in the preset indicator library according to the parsing results to obtain the calculation standard information of the building performance evaluation index.

[0063] Step 220: Acquire current building data and historical building data of the building to be evaluated based on the digital twin model.

[0064] Step 230: Evaluate whether the current building data is abnormal data based on the historical building data; if so, discard the current building data; otherwise, retain the current building data.

[0065] Among them, abnormal data can be evaluated in a variety of ways. For example, it can be identified through a machine learning model or through box plot analysis to determine whether the current building data is abnormal data. When abnormal data exists, the abnormal current building data can be discarded to ensure the reliability of performance evaluation.

[0066] In practice, data anomalies can exist in many situations. For example, data anomalies are caused by failure of monitoring equipment such as sensors, data transmission errors, or data processing errors. Different abnormal data situations can be further processed.

[0067] In an optional implementation of the embodiment of the present invention, evaluating whether current building data is abnormal data based on historical building data includes: evaluating whether the current building data is abnormal data caused by monitoring equipment, or is abnormal data itself, based on the historical building data; when the current building data is abnormal data caused by monitoring equipment, issuing an abnormal alarm for the monitoring equipment corresponding to the current building data.

[0068] Among them, the abnormal data itself can be understood as data anomalies caused by data transmission errors or data processing errors, rather than caused by monitoring equipment. Abnormal data caused by monitoring equipment and abnormal data itself can be evaluated by the characteristics of data performance. For example, data anomalies caused by abnormal monitoring equipment will maintain continuous abnormalities for a period of time. And abnormal data itself is usually volatile. According to the above characteristics, abnormal data caused by monitoring equipment and abnormal data itself can be distinguished. When the building data is abnormal due to monitoring equipment, an abnormal alarm can be issued for the monitoring equipment corresponding to the current building data, and the digital twin model can be updated in time to improve the accuracy of building performance evaluation.

[0069] Step 240: The building to be evaluated includes at least two spaces to be evaluated. The current building space data and the historical building space data of each space to be evaluated are matched with the calculation standard information to determine the target evaluation index applicable to the space to be evaluated.

[0070] Among them, the current building space data and the historical building space data can be matched with the characteristics in the calculation standard information to determine the target evaluation indicators applicable to the space to be evaluated. On the basis of the current building space data, the historical building space data is added to determine the target evaluation indicators, and the statistical indicators can be matched to evaluate the performance of the building space in time and space. Statistical indicators include but are not limited to: average value, standard deviation and trend analysis evaluation indicators.

[0071] Optionally, the current building space data and the historical building space data are matched with the calculation standard information to determine the target evaluation indicators applicable to the space to be evaluated, including: matching the characteristics of the current building space data and the historical building space data with the data requirement characteristics in the calculation standard information to determine the matching degree of the current building space data and the historical building space data with multiple reference indicators in the same performance evaluation; using the indicator corresponding to the highest matching degree among the multiple reference indicators in the same performance evaluation as the target evaluation indicator applicable to the space to be evaluated; wherein the data requirement characteristics include at least one of the following: data type, data source, data accuracy, data update frequency, and data quality.

[0072] Step 250: Determine the calculated value of the target evaluation index according to the building data and the calculation method in the target calculation standard information corresponding to the target evaluation index.

[0073] Step 260: Acquire historical building data and historical performance evaluation results corresponding to the target evaluation indicators.

[0074] Specifically, for each building space, historical building space data corresponding to the target evaluation index and historical space performance evaluation results can be obtained to generate differentiated benchmark values ​​for the evaluation index corresponding to each space to meet the differentiated evaluation of each building space.

[0075] Step 270: Perform data analysis based on historical building data and historical performance evaluation results to generate a reference benchmark value interval.

[0076] For example, the reference benchmark value interval can be calculated through Bayesian, random forest, regression algorithm, and machine learning algorithms to improve the reliability of performance evaluation.

[0077] Step 280: Add the reference benchmark value interval to the calculation standard information of the building performance evaluation index.

[0078] Step 290: Compare the calculated value with the benchmark value in the target calculation standard information, and perform performance evaluation on the building to be evaluated.

[0079] The specific execution steps are not limited to the above-mentioned manner. For example, steps 260 to 280 may also be executed after step 240. Step 250 may be executed after step 280, etc.

[0080] After obtaining the performance evaluation results, an evaluation report can be generated and displayed in a visual interface. The visual interface display may include charts, data summaries, and improvement suggestions. The evaluation report can be used for building operation management decisions, maintenance plan formulation, and implementation of performance improvement measures. Since the building data in the embodiment of the present invention has dual attributes of time and space, when displaying, the status of the same indicator in different building spaces can be displayed synchronously, such as using color coding to represent different states, red for exceeding the standard, green for normal, etc. Options can be set in the same building space so that users can display the indicator options according to the indicator they want to view. Options can be set separately to adapt to a single space, or they can be directly synchronized to other spaces. If the indicator displayed is a dynamic indicator, it can be displayed in real time accordingly with the real-time calculation results. The evaluation report can support export functions, such as PDF or Excel format export.

[0081] In specific applications, the processed evaluation index data is extracted from the database, and necessary statistical analysis can be performed on the data, such as calculating the average, maximum, minimum, etc. Based on the extracted data, a report is generated using a template. The template can include text descriptions, tables, and charts. The report contains a detailed analysis of key indicators, such as energy consumption intensity, comfort level exceeding the standard duration, etc. You can view the cumulative value and statistical value over a period of time, or the instantaneous value at the current moment. When displaying, you can design charts, such as floor plans, space diagrams, bar charts, line charts, and pie charts, to display key performance indicators in different spaces at different times, ensuring that the charts are clear, accurate, and can effectively convey information. User interaction can also be supported during display, by developing a user-friendly interface that allows users to select different report parameters, such as time range, building space selection, etc. Provide an export function that enables users to save reports as PDF or Excel files, allowing users to view, print, and download reports through the interface.

[0082] The technical solution of the embodiment of the present invention obtains the calculation standard information of the building performance evaluation index by acquiring the building performance evaluation standard and parsing the evaluation standard; obtains the current building data and historical building data of the building to be evaluated based on the digital twin model; evaluates whether the current building data is abnormal data according to the historical building data; if so, discards the current building data; otherwise, retains the current building data; the building to be evaluated includes at least two spaces to be evaluated, and the current building space data and the historical building space data of each space to be evaluated are matched with the calculation standard information to determine the target evaluation index applicable to the space to be evaluated; determines the calculation value of the target evaluation index according to the calculation method in the target calculation standard information corresponding to the building data and the target evaluation index; obtains the historical building data and the historical performance corresponding to the target evaluation index. evaluation results; conduct data analysis based on historical building data and historical performance evaluation results to generate a reference benchmark value range; add the reference benchmark value range to the calculation standard information of the building performance evaluation index; compare the calculated value with the benchmark value in the target calculation standard information, and conduct a performance evaluation on the building to be evaluated. This solves the problem that building performance evaluation relies on manual means and cannot be comprehensively and reliably evaluated in real time. It realizes the automated evaluation of building performance, enables the evaluation results to be dynamically adjusted in real time according to the evaluation standards, and adopts the most suitable target evaluation indicators to achieve reliable evaluation of building performance. By combining modern information technologies such as digitalization, the Internet of Things, big data, and artificial intelligence, it realizes real-time monitoring and dynamic management of buildings, comprehensively captures the static and dynamic performance of buildings, and objectively reflects the performance of buildings under actual working conditions.

[0083] Embodiment 3

[0084] Figure 3 Schematic diagram of a building performance evaluation device based on digital twins according to Embodiment 3 of the present invention. Figure 3 As shown, the device includes: a building performance evaluation index determination module 310, a target evaluation index determination module 320, a calculation value determination module 330, and a performance evaluation module 340. Among them:

[0085] The building performance evaluation index determination module 310 is used to obtain the building performance evaluation standard and parse the evaluation standard to obtain the calculation standard information of the building performance evaluation index;

[0086] The target evaluation index determination module 320 is used to obtain the building data of the building to be evaluated based on the digital twin model, and match the building data with the calculation standard information to determine the target evaluation index applicable to the building to be evaluated;

[0087] A calculation value determination module 330 is used to determine the calculation value of the target evaluation index according to the building data and the calculation method in the target calculation standard information corresponding to the target evaluation index;

[0088] The performance evaluation module 340 is used to compare the calculated value with the reference value in the target calculation standard information and perform performance evaluation on the building to be evaluated.

[0089] Optionally, the target evaluation index determination module 320 includes:

[0090] An indicator matching degree determination unit, used to match the characteristics of the building data with the data requirement characteristics in the calculation standard information, and determine the matching degree of the building data with multiple reference indicators in the same performance evaluation;

[0091] A target evaluation index determination unit, used to use the index corresponding to the highest matching degree among multiple reference indexes in the same performance evaluation as the target evaluation index applicable to the building to be evaluated;

[0092] The data requirement characteristics include at least one of the following: data type, data source, data accuracy, data update frequency, and data quality.

[0093] Optionally, the building to be assessed includes at least two spaces to be assessed;

[0094] The target evaluation index determination module 320 includes:

[0095] A spatial data acquisition unit, used to acquire current building spatial data and historical building spatial data of each space to be evaluated;

[0096] The space evaluation index determination unit is used to match the current building space data and the historical building space data with the calculation standard information to determine the target evaluation index applicable to the space to be evaluated.

[0097] Optionally, the device further includes:

[0098] A historical data acquisition module, used to acquire historical building data and historical performance evaluation results corresponding to the target evaluation index before comparing the calculated value with the benchmark value in the target calculation standard information;

[0099] A reference benchmark value interval generation module is used to perform data analysis based on historical building data and historical performance evaluation results to generate a reference benchmark value interval;

[0100] The calculation standard information update module is used to add the reference benchmark value interval to the calculation standard information of the building performance evaluation index.

[0101] Optionally, the building performance evaluation index determination module 310 includes:

[0102] A preset index library acquisition unit is used to obtain preset building performance evaluation indicators and corresponding preset calculation standard information in the preset index library;

[0103] An evaluation standard parsing unit, used to obtain building performance evaluation standards and parse the evaluation standards;

[0104] The preset index library correction unit is used to correct the preset building performance evaluation index and the corresponding preset calculation standard information in the preset index library according to the analysis result to obtain the calculation standard information of the building performance evaluation index.

[0105] Optionally, the target evaluation index determination module 320 includes:

[0106] A building data acquisition unit, used to acquire current building data and historical building data of the building to be evaluated based on the digital twin model;

[0107] The abnormal data elimination unit is used to evaluate whether the current building data is abnormal data based on the historical building data; if so, the current building data is discarded; otherwise, the current building data is retained.

[0108] Optional, abnormal data removal unit, including:

[0109] The abnormal data distinguishing subunit is used to evaluate whether the current building data is abnormal data caused by the monitoring equipment or abnormal data itself based on the historical building data;

[0110] The abnormal alarm subunit is used to issue an abnormal alarm to the monitoring device corresponding to the current building data when the current building data is abnormal data caused by the monitoring device.

[0111] The digital twin-based building performance evaluation device provided in the embodiment of the present invention can execute the digital twin-based building performance evaluation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0112] Embodiment 4

[0113] Figure 4A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0114] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0115] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0116] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a building performance evaluation method based on digital twins.

[0117] In some embodiments, the building performance assessment method based on digital twins may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the building performance assessment method based on digital twins described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the building performance assessment method based on digital twins in any other appropriate manner (e.g., by means of firmware).

[0118] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0119] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0120] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0121] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0122] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0123] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0124] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0125] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A building performance evaluation method based on digital twins, characterized in that: include: Obtaining building performance evaluation standards, and parsing the evaluation standards to obtain calculation standard information of building performance evaluation indicators; Acquire building data of the building to be evaluated based on the digital twin model, match the building data with the calculation standard information, and determine target evaluation indicators applicable to the building to be evaluated; Determining a calculated value of the target evaluation indicator according to the building data and a calculation method in the target calculation standard information corresponding to the target evaluation indicator; The calculated value is compared with the reference value in the target calculation standard information to perform a performance evaluation on the building to be evaluated.

2. The method according to claim 1, characterized in that Matching the building data with the calculation standard information to determine the target evaluation index applicable to the building to be evaluated includes: Matching the characteristics of the building data with the data requirement characteristics in the calculation standard information to determine the matching degree of the building data with multiple reference indicators in the same performance evaluation; The indicator corresponding to the highest matching degree among multiple reference indicators in the same performance evaluation is used as the target evaluation indicator applicable to the building to be evaluated; The data requirement characteristics include at least one of the following: data type, data source, data accuracy, data update frequency, and data quality.

3. The method according to claim 1, characterized in that The building to be evaluated includes at least two spaces to be evaluated; Acquiring building data of the building to be evaluated based on the digital twin model, and matching the building data with the calculation standard information, to determine target evaluation indicators applicable to the building to be evaluated, including: Acquire current building space data and historical building space data of each of the spaces to be evaluated; The current building space data and the historical building space data are matched with the calculation standard information to determine a target evaluation index applicable to the space to be evaluated.

4. The method according to claim 1, characterized in that: Before comparing the calculated value with the reference value in the target calculation standard information, the method further includes: Acquire historical building data and historical performance evaluation results corresponding to the target evaluation indicators; Perform data analysis based on the historical building data and the historical performance evaluation results to generate a reference benchmark value interval; The reference benchmark value interval is added to the calculation standard information of the building performance evaluation index.

5. The method according to claim 1, characterized in that: Obtain building performance evaluation standards, and parse the evaluation standards to obtain calculation standard information of building performance evaluation indicators, including: Obtaining preset building performance evaluation indicators and corresponding preset calculation standard information in the preset indicator library; Obtaining building performance evaluation standards and parsing the evaluation standards; The preset building performance evaluation indicators and the corresponding preset calculation standard information in the preset indicator library are modified according to the analysis results to obtain the calculation standard information of the building performance evaluation indicators.

6. The method according to claim 1, characterized in that Obtain building data of the building to be evaluated based on the digital twin model, including: Obtain current and historical building data of the building to be evaluated based on the digital twin model; Evaluate whether the current building data is abnormal data according to the historical building data; if so, discard the current building data; otherwise, retain the current building data.

7. The method according to claim 6, characterized in that Evaluating whether the current building data is abnormal data according to the historical building data includes: Evaluating whether the current building data is abnormal data caused by monitoring equipment or abnormal data itself according to the historical building data; When the current building data is abnormal data caused by a monitoring device, an abnormal alarm is issued to the monitoring device corresponding to the current building data.

8. A building performance evaluation device based on digital twins, characterized in that: include: A building performance evaluation index determination module is used to obtain building performance evaluation standards and parse the evaluation standards to obtain calculation standard information of building performance evaluation indicators; A target evaluation index determination module is used to obtain the building data of the building to be evaluated based on the digital twin model, and match the building data with the calculation standard information to determine the target evaluation index applicable to the building to be evaluated; A calculation value determination module, used to determine the calculation value of the target evaluation index according to the building data and the calculation method in the target calculation standard information corresponding to the target evaluation index; The performance evaluation module is used to compare the calculated value with the reference value in the target calculation standard information to perform performance evaluation on the building to be evaluated.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the digital twin-based building performance assessment method described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the digital twin-based building performance assessment method according to any one of claims 1 to 7 when executed.

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