A building energy-saving reconstruction evaluation system and method based on data processing

Abstract

The application relates to a building energy-saving reconstruction evaluation system and method based on data processing, and relates to the technical field of data processing. The system comprises a monitoring point determination module, which is used for determining a plurality of reconstruction monitoring points of a building to be reconstructed based on relevant feature data of the building to be reconstructed; a data acquisition module, which is used for acquiring pre-reconstruction building data and post-reconstruction building data of the plurality of reconstruction monitoring points before reconstruction; a scheme evaluation module, which is used for determining a plurality of reconstruction evaluation indexes based on the pre-reconstruction building data of the plurality of reconstruction monitoring points, predicting the reconstruction effect of a reconstruction scheme to be evaluated, and optimizing the reconstruction scheme to be evaluated; and a reconstruction evaluation module, which is used for determining the reconstruction effect of the building to be reconstructed based on the post-reconstruction building data of the plurality of reconstruction monitoring points and the plurality of reconstruction evaluation indexes. The application has the advantages that the building can be subjected to targeted energy-saving reconstruction, and the efficiency and quality of building energy-saving reconstruction are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a building energy-saving renovation evaluation system and method based on data processing. Background Art

[0002] Energy-saving renovation refers to the activity of implementing energy-saving renovation on the envelope structure, heating system, heating and cooling system, lighting equipment and hot water supply facilities of existing buildings that do not meet the mandatory building energy-saving standards after energy-saving assessment.

[0003] Existing building energy-saving renovations typically rely on simulations and calculations using energy-saving calculation software to ensure that the building meets energy-saving design standards. This approach, which fails to address the building's actual energy consumption and energy consumption deficiencies, often only treats the symptoms, failing to truly minimize the building's energy consumption in future operations. Furthermore, the renovation process results in unnecessary waste: for example, HVAC equipment that previously met the requirements must be dismantled and replaced, all lighting equipment must be replaced with the latest energy-saving light sources, and renewable energy is used inappropriately. These issues inadvertently increase the cost of building energy-saving renovations and significantly reduce their effectiveness.

[0004] Therefore, it is necessary to provide a building energy-saving renovation evaluation system based on data processing to carry out targeted energy-saving renovation of buildings and improve the efficiency and quality of building energy-saving renovation. Summary of the Invention

[0005] One of the embodiments of the present specification provides a building energy-saving renovation evaluation system based on data processing, including: a monitoring point determination module, which is used to determine multiple renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated; a data acquisition module, which is used to obtain pre-renovation building data of the multiple renovation monitoring points before the renovation; a scheme evaluation module, which is used to determine multiple renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points, and is also used to predict the renovation effect of the renovation scheme to be evaluated based on the multiple renovation evaluation indicators, and optimize the renovation scheme to be evaluated based on the predicted renovation effect until the optimized renovation scheme to be evaluated meets preset conditions; the data acquisition module is also used to obtain post-renovation building data of the multiple renovation monitoring points after the renovation; and a renovation evaluation module, which is used to determine the renovation effect of the building to be renovated based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators.

[0006] Furthermore, the monitoring point determination module determines multiple renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated, including: obtaining a three-dimensional model, operation data and environmental information of the building to be renovated, wherein the relevant characteristic data of the building to be renovated at least include the three-dimensional model, operation data and environmental information of the building to be renovated; determining multiple first initial renovation monitoring points of the building to be renovated based on the three-dimensional model, operation data and environmental information of the building to be renovated through the Monteraro model; obtaining questionnaire results of the building to be renovated, wherein the relevant characteristic data of the building to be renovated also at least include the questionnaire results; determining multiple second initial renovation monitoring points of the building to be renovated based on the questionnaire results of the building to be renovated; screening the multiple first initial renovation monitoring points and the multiple second initial renovation monitoring points to determine the multiple renovation monitoring points of the building to be renovated.

[0007] Furthermore, the monitoring point determination module screens the multiple first initial transformation monitoring points and the multiple second initial transformation monitoring points to determine the multiple transformation monitoring points of the building to be transformed, including: obtaining test data of the multiple first initial transformation monitoring points and the multiple second initial transformation monitoring points; for each of the first initial transformation monitoring points, determining the transformation correlation coefficient corresponding to the first initial transformation monitoring point based on the test data of the first initial transformation monitoring point; for each of the second initial transformation monitoring points, determining the transformation correlation coefficient corresponding to the second initial transformation monitoring point based on the test data of the second initial transformation monitoring point; based on the transformation correlation coefficient corresponding to each of the first initial transformation monitoring points and the transformation correlation coefficient corresponding to each of the second initial transformation monitoring points, screening the multiple first initial transformation monitoring points and the multiple second initial transformation monitoring points to determine the multiple transformation monitoring points of the building to be transformed.

[0008] Furthermore, the data acquisition module obtains the pre-renovation building data of the multiple renovation monitoring points before the renovation, including: for each of the renovation monitoring points, determining the data type corresponding to the renovation monitoring point based on the test data of the renovation monitoring point; and obtaining the pre-renovation building data of the renovation monitoring point based on the data type corresponding to the renovation monitoring point.

[0009] Furthermore, the scheme evaluation module determines multiple renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points, including: determining multiple candidate renovation evaluation indicators based on the energy-saving renovation data of multiple sample buildings; determining the scores of the buildings to be renovated in the multiple candidate renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points; and determining the multiple renovation evaluation indicators from the multiple candidate renovation evaluation indicators based on the scores of the buildings to be renovated in the multiple candidate renovation evaluation indicators.

[0010] Furthermore, the scheme evaluation module determines the multiple renovation evaluation indicators from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated in the multiple candidate renovation evaluation indicators, including: determining at least one target renovation evaluation indicator from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated in the multiple candidate renovation evaluation indicators; for each of the target renovation evaluation indicators, determining the associated indicators of the target renovation evaluation indicators based on the indicator relationship map, wherein the multiple renovation evaluation indicators include the at least one target renovation evaluation indicator and the associated indicators of each of the target renovation evaluation indicators, and the indicator relationship map is used to characterize the associated relationship between any two of the candidate renovation evaluation indicators.

[0011] Furthermore, the scheme evaluation module optimizes the renovation scheme to be evaluated based on the predicted renovation effect until the optimized renovation scheme to be evaluated meets the preset conditions, including: determining the scores of the renovation scheme to be evaluated in the multiple renovation evaluation indicators based on the predicted renovation effect; determining the scores of the building to be renovated in the multiple candidate renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points; judging whether the preset conditions are met based on the scores of the renovation scheme to be evaluated in the multiple renovation evaluation indicators and the scores of the building to be renovated in the multiple renovation evaluation indicators; if it is judged that the preset conditions are not met, determining at least one optimization direction based on the scores of the renovation scheme to be evaluated in the multiple renovation evaluation indicators and the scores of the building to be renovated in the multiple candidate renovation evaluation indicators; optimizing the renovation scheme to be evaluated based on the at least one optimization direction until the optimized renovation scheme to be evaluated meets the preset conditions.

[0012] Furthermore, the renovation evaluation module determines the renovation effect of the building to be renovated based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators, including: determining the scores of the renovated building to be renovated in the multiple renovation evaluation indicators based on the post-renovation building data of the multiple renovation monitoring points; and determining the renovation effect of the building to be renovated based on the scores of the renovated building to be renovated in the multiple renovation evaluation indicators.

[0013] Furthermore, the data type corresponding to the modified monitoring point includes at least one of air quality data, lighting data, temperature data, daylighting data and noise data.

[0014] One of the embodiments of the present specification provides a building energy-saving renovation evaluation method based on data processing, including: determining multiple renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated; obtaining pre-renovation building data of the multiple renovation monitoring points before the renovation; determining multiple renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points; predicting the renovation effect of the renovation plan to be evaluated based on the multiple renovation evaluation indicators, and optimizing the renovation plan to be evaluated based on the predicted renovation effect until the optimized renovation plan to be evaluated meets preset conditions; obtaining post-renovation building data of the multiple renovation monitoring points after the renovation; and determining the renovation effect of the building to be renovated based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators.

[0015] Compared with the existing technology, the building energy-saving renovation assessment system and method based on data processing provided in this specification has at least the following beneficial effects:

[0016] 1. By determining multiple renovation monitoring points of the building to be renovated based on the relevant characteristic data of the building to be renovated, the characteristic analysis of the building to be renovated is realized, making the subsequent collection of pre-renovation building data, determination of energy-saving renovation plan and post-renovation building data more targeted and matching the actual situation of the building to be renovated, thereby improving the efficiency and quality of building energy-saving renovation;

[0017] 2. First, use the 3D model of the building to be renovated, operational data, environmental information, and questionnaire results to quickly determine multiple initial renovation monitoring points. Then, conduct tests and screen these initial renovation monitoring points. This ensures that the final multiple renovation monitoring points have more comprehensive coverage and reduce invalid renovation monitoring points, thereby reducing the amount of data processing required for subsequent energy-saving renovation plan evaluations and renovation effect assessments.

[0018] 3. First, based on the energy-saving renovation data of multiple sample buildings, multiple universal candidate renovation evaluation indicators are determined. Then, based on the pre-renovation building data of multiple renovation monitoring points, the scores of the buildings to be renovated in multiple candidate renovation evaluation indicators are determined. This realizes the screening of indicators, making the subsequent evaluation of energy-saving renovation plans and renovation effects more targeted. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] This specification will be further described in the form of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting, and in these embodiments, like numbers represent like structures, wherein:

[0020] Figure 1 This is a module diagram of a building energy-saving renovation evaluation system based on data processing shown in an embodiment of the present application;

[0021] Figure 2 This is a flow chart of a building energy-saving renovation evaluation method based on data processing shown in one embodiment of the present application;

[0022] Figure 3 This is a flow chart showing a method of determining multiple renovation monitoring points of a building to be renovated according to an embodiment of the present application; Figure 4 is a flow chart for determining multiple transformation evaluation indicators shown in one embodiment of the present application;

[0023] Figure 5 It is a schematic diagram of an indicator relationship map shown in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following briefly introduces the drawings required for describing the embodiments.

[0025] Figure 1 This is a module diagram of a building energy-saving renovation evaluation system based on data processing shown in an embodiment of the present application. Figure 1 As shown, a building energy-saving renovation evaluation system based on data processing may include a monitoring point determination module, a data acquisition module, a solution evaluation module and a renovation evaluation module.

[0026] The monitoring point determination module can be used to determine multiple renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated.

[0027] The buildings to be renovated are those that require energy-saving renovations, such as shopping malls, supermarkets, and factories.

[0028] The relevant characteristic data of the building to be renovated may be information related to the characteristics of the building to be renovated, such as a three-dimensional model of the building to be renovated (e.g., a BIM model), operational data, environmental information, and questionnaire results. The operational data of the building to be renovated may include at least information on pedestrian flow and natural lighting at multiple locations within the building to be renovated. The environmental information may include at least the light intensity, temperature, humidity, and greening rate of the building's surroundings during a target time period (e.g., the past two years). The questionnaire results may represent suggestions from personnel involved in the building to be renovated regarding energy-saving improvements to the building.

[0029] Figure 3 This is a flow chart showing a method of determining multiple renovation monitoring points of a building to be renovated in one embodiment of the present application. Figure 3 As shown, in some embodiments, the monitoring point determination module determines a plurality of renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated, including:

[0030] Obtain the 3D model, operation data and environmental information of the building to be renovated;

[0031] Determining a plurality of first initial renovation monitoring points of the building to be renovated based on the three-dimensional model of the building to be renovated, the operating data and the surrounding environment information by using the Monteraro model;

[0032] Obtain questionnaire results for buildings to be renovated;

[0033] Determining a plurality of second initial renovation monitoring points of the building to be renovated based on the questionnaire results of the building to be renovated;

[0034] The plurality of first initial renovation monitoring points and the plurality of second initial renovation monitoring points are screened to determine the plurality of renovation monitoring points of the building to be renovated.

[0035] Specifically, the monitoring point determination module determines multiple first initial transformation monitoring points (for example, rooftops, window edges, center positions, etc.) of the building to be transformed based on a constraint condition set, using the Monteraro model, the three-dimensional model of the building to be transformed, operating data, and environmental information. The constraint condition set may include the shortest distance between two adjacent first initial transformation monitoring points, the minimum number of first initial transformation monitoring points, and the maximum number of first initial transformation monitoring points. The constraint condition set may be determined based on the characteristics of the building to be transformed.

[0036] The monitoring point determination module can extract keywords from the questionnaire results of the building to be renovated based on a keyword extraction model and a keyword dictionary to determine multiple second initial renovation monitoring points. The keyword extraction model can be a machine learning model such as an artificial neural network (ANN) model, a recurrent neural network (RNN) model, a long short-term memory network (LSTM) model, a bidirectional recurrent neural network (BRNN) model, etc. The keyword dictionary is used to record multiple keywords that can be used to describe the direction of energy-saving renovation and / or the location of the building.

[0037] like Figure 3 As shown, in some embodiments, the monitoring point determination module screens multiple first initial renovation monitoring points and multiple second initial renovation monitoring points to determine multiple renovation monitoring points of the building to be renovated, including:

[0038] Acquire test data of a plurality of first initial modification monitoring points and a plurality of second initial modification monitoring points, wherein the test data may include air quality data, lighting data, temperature data, daylighting data, and noise data; for each first initial modification monitoring point, determine a modification correlation coefficient corresponding to the first initial modification monitoring point based on the test data of the first initial modification monitoring point;

[0039] For each second initial transformation monitoring point, determining a transformation correlation coefficient corresponding to the second initial transformation monitoring point based on test data of the second initial transformation monitoring point;

[0040] Based on the renovation correlation coefficient corresponding to each first initial renovation monitoring point and the renovation correlation coefficient corresponding to each second initial renovation monitoring point, multiple first initial renovation monitoring points and multiple second initial renovation monitoring points are screened to determine multiple renovation monitoring points of the building to be renovated.

[0041] Specifically, the transformation correlation coefficient corresponding to the first initial transformation monitoring point can be calculated based on the following formula:

[0042]

[0043]

[0044]

[0045]

[0046]

[0047]

[0048] in, is the transformation correlation coefficient corresponding to the i-th first initial transformation monitoring point, 、 、 and All are preset weights. is the air quality improvement score corresponding to the i-th first initial improvement monitoring point, is the lighting renovation score corresponding to the i-th first initial renovation monitoring point, is the lighting renovation score corresponding to the i-th first initial renovation monitoring point, is the noise transformation score corresponding to the i-th first initial transformation monitoring point, The temperature transformation score corresponding to the i-th first initial transformation monitoring point, is the air quality of the first initial transformation monitoring point i collected at the nth time point during the test period, is the standard air quality corresponding to the i-th first initial transformation monitoring point, is the lighting brightness of the i-th first initial transformation monitoring point collected at the n-th time point during the test period, is the standard lighting brightness corresponding to the i-th first initial transformation monitoring point, To calculate the similarity, is the natural light intensity curve of the first initial transformation monitoring point i during the test period, is the standard natural light intensity curve corresponding to the i-th first initial transformation monitoring point, is the natural light intensity at the i-th first initial transformation monitoring point at the n-th time point during the test period, is the standard natural light intensity of the i-th first initial transformation monitoring point at the n-th time point during the test period, is the noise decibel level of the i-th first initial transformation monitoring point collected at the n-th time point during the test period, is the standard noise decibel corresponding to the i-th first initial transformation monitoring point, is the temperature of the i-th first initial transformation monitoring point collected at the n-th time point during the test period, is the standard temperature corresponding to the i-th first initial transformation monitoring point. Determining the transformation correlation coefficient corresponding to the second initial transformation monitoring point is similar to the above method and will not be repeated here.

[0049] It can be understood that the first initial reconstruction monitoring point corresponding to the reconstruction correlation coefficient greater than the preset reconstruction correlation coefficient threshold can be taken as the reconstruction monitoring point, and the second initial reconstruction monitoring point corresponding to the reconstruction correlation coefficient greater than the preset reconstruction correlation coefficient threshold can be taken as the reconstruction monitoring point. It can be understood that when the first initial reconstruction monitoring point corresponding to the reconstruction correlation coefficient is greater than the preset reconstruction correlation coefficient threshold, it can be indicated that the first initial reconstruction monitoring point needs to be reconstructed in terms of air quality, lighting, daylighting, temperature control or noise. The data acquisition module can be used to obtain the pre-reconstruction building data of the plurality of reconstruction monitoring points before reconstruction.

[0050] In some embodiments, the data acquisition module obtains the pre-reconstruction building data of the plurality of reconstruction monitoring points before reconstruction, including:

[0051] For each reconstruction monitoring point, based on the test data of the reconstruction monitoring point, the data type corresponding to the reconstruction monitoring point is determined;

[0052] Based on the data type corresponding to the reconstruction monitoring point, the pre-reconstruction building data of the reconstruction monitoring point is obtained.

[0053] In some embodiments, the data type corresponding to the reconstruction monitoring point includes at least one of air quality data, lighting data, temperature data, daylighting data and noise data.

[0054] Specifically, for each reconstruction monitoring point, when the air quality reconstruction score corresponding to the reconstruction monitoring point is greater than the preset air quality reconstruction score threshold, it is determined that the data type corresponding to the reconstruction monitoring point includes air quality data; when the lighting reconstruction score corresponding to the reconstruction monitoring point is greater than the preset lighting reconstruction score threshold, it is determined that the data type corresponding to the reconstruction monitoring point includes lighting data; when the daylighting reconstruction score corresponding to the reconstruction monitoring point is greater than the preset daylighting reconstruction score threshold, it is determined that the data type corresponding to the reconstruction monitoring point includes daylighting data; when the noise reconstruction score corresponding to the reconstruction monitoring point is greater than the preset noise reconstruction score threshold, it is determined that the data type corresponding to the reconstruction monitoring point includes noise data; when the temperature reconstruction score corresponding to the reconstruction monitoring point is greater than the preset temperature reconstruction score threshold, it is determined that the data type corresponding to the reconstruction monitoring point includes temperature data.

[0055] The scheme evaluation module can be used to determine a plurality of reconstruction evaluation indexes based on the pre-reconstruction building data of the plurality of reconstruction monitoring points.

[0056] Figure 4 is a flowchart for determining a plurality of reconstruction evaluation indexes in an embodiment of the present application, as Figure 4 shown in some embodiments, the scheme evaluation module determines a plurality of reconstruction evaluation indexes based on the pre-reconstruction building data of the plurality of reconstruction monitoring points, including:

[0057] Based on the energy-saving renovation data of multiple sample buildings, multiple candidate renovation evaluation indicators are determined, where the candidate renovation evaluation indicators at least include the heat transfer coefficient of external windows, the heat transfer coefficient of external walls, the heat transfer coefficient of roofs, the heat transfer coefficient of doors, the north-facing window-to-wall area ratio, the east-west-facing window-to-wall area ratio, the south-facing window-to-wall area ratio, the building shape coefficient, the airtightness level of external windows and transparent curtain walls, the air quality index, the natural light illumination index, the lighting vacancy index, and the temperature adjustment vacancy index;

[0058] Based on the pre-renovation building data of multiple renovation monitoring points, the scores of the building to be renovated in multiple candidate renovation evaluation indicators are determined;

[0059] Based on the scores of the building to be renovated on the multiple candidate renovation evaluation indicators, multiple renovation evaluation indicators are determined from the multiple candidate renovation evaluation indicators.

[0060] like Figure 4 As shown, in some embodiments, the scheme evaluation module determines multiple renovation evaluation indicators from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated in the multiple candidate renovation evaluation indicators, including:

[0061] Determining at least one target renovation evaluation indicator from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated on the multiple candidate renovation evaluation indicators;

[0062] For each target transformation evaluation indicator, an associated indicator of the target transformation evaluation indicator is determined based on an indicator relationship graph, wherein the multiple transformation evaluation indicators include at least one target transformation evaluation indicator and an associated indicator of each target transformation evaluation indicator. The indicator relationship graph is used to represent the association relationship between any two candidate transformation evaluation indicators. The indicator relationship graph may include multiple nodes, where one node represents one candidate transformation evaluation indicator. When there is an association between any two candidate transformation evaluation indicators, the nodes corresponding to the two candidate transformation evaluation indicators may be connected by an edge.

[0063] Specifically, the candidate transformation evaluation indicators with scores lower than a preset score threshold may be used as target transformation evaluation indicators.

[0064] In some embodiments, for any two candidate transformation evaluation indicators, the solution evaluation module can first calculate the correlation coefficient between the two candidate transformation evaluation indicators based on the sample data to determine whether there is a correlation between the two candidate transformation evaluation indicators. For example, when the correlation coefficient between the two candidate transformation evaluation indicators is greater than a preset correlation coefficient threshold, it is determined that there is a correlation between the two candidate transformation evaluation indicators.

[0065] For example, the correlation coefficient between two candidate transformation evaluation indicators can be calculated based on the following formula:

[0066]

[0067] in, is the correlation coefficient between the pth candidate transformation evaluation index and the Qth candidate transformation evaluation index, is the covariance between the data corresponding to the p-th candidate transformation evaluation index in the sample data and the data corresponding to the Q-th candidate transformation evaluation index in the sample data, is the method corresponding to the data of the pth candidate transformation evaluation indicator in the sample data, is the variance of the data corresponding to the Qth candidate transformation evaluation indicator in the sample data.

[0068] The scheme evaluation module can also be used to predict the transformation effect of the transformation scheme to be evaluated based on multiple transformation evaluation indicators, and optimize the transformation scheme to be evaluated based on the predicted transformation effect until the optimized transformation scheme to be evaluated meets the preset conditions.

[0069] The renovation plans to be evaluated may include a variety of energy-saving renovation measures, such as controlling the building shape coefficient, that is, the ratio of the building's surface area to the volume it encloses; using new wall materials such as aerated concrete blocks with good thermal insulation performance; using wall insulation, roof insulation, hollow double-glazed windows, insulated doors and energy-saving air conditioners, etc. to reduce the heat dissipation of the enclosing structure, improve the quality of the building's thermal environment, improve the thermal efficiency of the heating system, increase roof greening, add new energy equipment, and transform the lighting system.

[0070] In some embodiments, the solution evaluation module optimizes the transformation solution to be evaluated based on the predicted transformation effect until the optimized transformation solution to be evaluated meets preset conditions, including: a score of the evaluation indicator;

[0071] Based on the scores of the renovation scheme to be evaluated in the multiple renovation evaluation indicators and the scores of the building to be renovated in the multiple renovation evaluation indicators, determining whether a preset condition is met, wherein the preset condition may be that the scores of the renovation scheme to be evaluated in the multiple renovation evaluation indicators are all greater than a preset score threshold and are greater than or equal to the scores of the building to be renovated in the multiple renovation evaluation indicators;

[0072] If it is determined that the preset conditions are not met, at least one optimization direction is determined based on the scores of the renovation scheme to be evaluated on the multiple renovation evaluation indicators and the scores of the buildings to be renovated on the multiple renovation evaluation indicators, wherein the optimization direction may be a direction corresponding to a renovation evaluation indicator whose scores are all greater than a preset score threshold and / or a direction corresponding to a renovation evaluation indicator whose scores after renovation are less than the scores of the corresponding buildings to be renovated before renovation;

[0073] Based on at least one optimization direction, the transformation plan to be evaluated is optimized until the optimized transformation plan to be evaluated meets the preset conditions.

[0074] Specifically, after determining a transformation direction, the transformation plan to be evaluated can be optimized based on the knowledge graph, wherein the knowledge graph can be used to record a variety of energy-saving transformation methods and the correlation between multiple candidate transformation indicators. After determining the optimization direction, the transformation plan to be evaluated can be optimized based on the knowledge graph, the scores of the transformation plan to be evaluated in multiple transformation evaluation indicators, and the scores of the buildings to be transformed in multiple transformation evaluation indicators through a solution optimization model. Among them, the solution optimization model is a machine learning model such as an artificial neural network (ANN) model, a recurrent neural network (RNN) model, a long short-term memory network (LSTM) model, and a bidirectional recurrent neural network (BRNN) model.

[0075] The data acquisition module can also be used to obtain post-renovation building data of multiple renovation monitoring points after renovation.

[0076] The renovation assessment module can be used to determine the renovation effect of the building to be renovated based on the post-renovation building data of multiple renovation monitoring points and multiple renovation assessment indicators.

[0077] Based on the predicted renovation effects, determine the scores of the renovation scheme to be evaluated in multiple renovation evaluation indicators;

[0078] In some embodiments, the renovation evaluation module determines the renovation effect of the building to be renovated based on the pre-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators, including:

[0079] Based on the data of renovated buildings at multiple renovation monitoring points, the renovated buildings to be renovated are determined in multiple renovation assessment indicators;

[0080] The renovation effect of the building to be renovated is determined based on multiple renovation evaluation indicators of the building to be renovated after the renovation.

[0081] Figure 2 This is a flow chart of a building energy-saving renovation evaluation method based on data processing shown in an embodiment of the present application. Figure 2 As shown, a building energy-saving renovation assessment method based on data processing may include the following process.

[0082] Step 210: determining a plurality of renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated;

[0083] Step 220 , obtaining pre-renovation building data of a plurality of renovation monitoring points before renovation;

[0084] Step 230 , determining a plurality of renovation evaluation indicators based on pre-renovation building data of a plurality of renovation monitoring points;

[0085] Step 240: predicting the transformation effect of the transformation scheme to be evaluated based on the multiple transformation evaluation indicators, and optimizing the transformation scheme to be evaluated based on the predicted transformation effect until the optimized transformation scheme to be evaluated meets the preset conditions;

[0086] Step 250 , obtaining post-renovation building data of a plurality of renovation monitoring points after the renovation;

[0087] Step 260 : Determine the renovation effect of the building to be renovated based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators.

[0088] In some embodiments, a data processing-based building energy-saving renovation evaluation method can be performed by a data processing-based building energy-saving renovation evaluation system. For more description of a data processing-based building energy-saving renovation evaluation method, please refer to Figure 1 The related descriptions will not be repeated here.

[0089] Finally, it should be understood that the embodiments described in this specification are intended only to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly described and illustrated in this specification.

Claims

1. A building energy-saving renovation evaluation system based on data processing, characterized in that: include: A monitoring point determination module, configured to determine a plurality of renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated; A data acquisition module, configured to obtain pre-renovation building data of the plurality of renovation monitoring points before renovation; a scheme evaluation module, configured to determine a plurality of renovation evaluation indicators based on the pre-renovation building data of the plurality of renovation monitoring points, further configured to predict the renovation effect of the renovation scheme to be evaluated based on the plurality of renovation evaluation indicators, and optimize the renovation scheme to be evaluated based on the predicted renovation effect until the optimized renovation scheme to be evaluated meets preset conditions; The data acquisition module is further used to obtain the renovated building data of the multiple renovation monitoring points after the renovation; a renovation evaluation module, configured to determine a renovation effect of the building to be renovated based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators; The monitoring point determination module determines a plurality of renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated, including: Acquiring a three-dimensional model, operating data, and environmental information of the building to be renovated, wherein the relevant characteristic data of the building to be renovated at least includes the three-dimensional model, operating data, and environmental information of the building to be renovated; Determining a plurality of first initial renovation monitoring points of the building to be renovated based on the three-dimensional model of the building to be renovated, the operating data, and the environmental information of the building using a Monteraro model; Obtaining a questionnaire result of the building to be renovated, wherein the relevant characteristic data of the building to be renovated further includes at least the questionnaire result; Determining a plurality of second initial renovation monitoring points of the building to be renovated based on the questionnaire results of the building to be renovated; Screening the plurality of first initial renovation monitoring points and the plurality of second initial renovation monitoring points to determine a plurality of renovation monitoring points of the building to be renovated; The monitoring point determination module screens the plurality of first initial renovation monitoring points and the plurality of second initial renovation monitoring points to determine a plurality of renovation monitoring points of the building to be renovated, including: Acquiring test data of the plurality of first initial transformation monitoring points and the plurality of second initial transformation monitoring points; For each of the first initial transformation monitoring points, determining a transformation correlation coefficient corresponding to the first initial transformation monitoring point based on test data of the first initial transformation monitoring point; For each of the second initial transformation monitoring points, determining a transformation correlation coefficient corresponding to the second initial transformation monitoring point based on test data of the second initial transformation monitoring point; Based on the renovation correlation coefficient corresponding to each of the first initial renovation monitoring points and the renovation correlation coefficient corresponding to each of the second initial renovation monitoring points, the multiple first initial renovation monitoring points and the multiple second initial renovation monitoring points are screened to determine the multiple renovation monitoring points of the building to be renovated.

2. A building energy-saving renovation evaluation system based on data processing according to claim 1, characterized in that: The data acquisition module obtains the pre-renovation building data of the plurality of renovation monitoring points before the renovation, including: For each of the modified monitoring points, determining a data type corresponding to the modified monitoring point based on the test data of the modified monitoring point; Based on the data type corresponding to the renovation monitoring point, the pre-renovation building data of the renovation monitoring point is obtained.

3. A building energy-saving renovation evaluation system based on data processing according to claim 1 or 2, characterized in that: The scheme evaluation module determines a plurality of renovation evaluation indicators based on the pre-renovation building data of the plurality of renovation monitoring points, including: Based on the energy-saving renovation data of multiple sample buildings, multiple candidate renovation evaluation indicators are determined; Determining scores of the building to be renovated on the multiple candidate renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points; The multiple renovation evaluation indicators are determined from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated respectively in the multiple candidate renovation evaluation indicators.

4. A building energy-saving renovation evaluation system based on data processing according to claim 3, characterized in that: The scheme evaluation module determines the multiple renovation evaluation indicators from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated respectively in the multiple candidate renovation evaluation indicators, including: Determining at least one target renovation evaluation indicator from the multiple candidate renovation evaluation indicators based on the scores of the building to be renovated on the multiple candidate renovation evaluation indicators; For each of the target transformation evaluation indicators, an associated indicator of the target transformation evaluation indicator is determined based on an indicator relationship map, wherein the multiple transformation evaluation indicators include the at least one target transformation evaluation indicator and an associated indicator of each of the target transformation evaluation indicators, and the indicator relationship map is used to characterize the association relationship between any two of the candidate transformation evaluation indicators.

5. A building energy-saving renovation evaluation system based on data processing according to claim 1 or 2, characterized in that: The scheme evaluation module optimizes the transformation scheme to be evaluated based on the predicted transformation effect until the optimized transformation scheme to be evaluated meets the preset conditions, including: Based on the predicted transformation effect, determining the scores of the transformation scheme to be evaluated in the multiple transformation evaluation indicators; Determining scores of the building to be renovated on the multiple renovation evaluation indicators based on the pre-renovation building data of the multiple renovation monitoring points; Based on the scores of the renovation scheme to be evaluated in the multiple renovation evaluation indicators and the scores of the building to be renovated in the multiple renovation evaluation indicators, determining whether the preset conditions are met; If it is determined that the preset conditions are not met, determining at least one optimization direction based on the scores of the renovation scheme to be evaluated on the multiple renovation evaluation indicators and the scores of the building to be renovated on the multiple renovation evaluation indicators; Based on the at least one optimization direction, the transformation plan to be evaluated is optimized until the optimized transformation plan to be evaluated meets the preset condition.

6. A building energy-saving renovation evaluation system based on data processing according to claim 1 or 2, characterized in that: The renovation evaluation module determines the renovation effect of the building to be renovated based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators, including: Determine, based on the renovated building data of the multiple renovation monitoring points, the multiple renovation evaluation indicators of the renovated building to be renovated; The renovation effect of the building to be renovated is determined based on the scores of the building to be renovated after the renovation on the multiple renovation evaluation indicators.

7. A building energy-saving renovation evaluation system based on data processing according to claim 2, characterized in that: The data type corresponding to the modified monitoring point includes at least one of air quality data, lighting data, temperature data, daylighting data and noise data.

8. A building energy-saving renovation evaluation method based on data processing, characterized in that: A building energy-saving renovation assessment system based on data processing as described in claim 1, comprising: Determining a plurality of renovation monitoring points of the building to be renovated based on relevant characteristic data of the building to be renovated; Before the renovation, obtaining pre-renovation building data of the plurality of renovation monitoring points; determining a plurality of renovation evaluation indicators based on the pre-renovation building data of the plurality of renovation monitoring points; Predicting the transformation effect of the transformation scheme to be evaluated based on the multiple transformation evaluation indicators, and optimizing the transformation scheme to be evaluated based on the predicted transformation effect until the optimized transformation scheme to be evaluated meets preset conditions; After the renovation, obtaining the post-renovation building data of the plurality of renovation monitoring points; Based on the post-renovation building data of the multiple renovation monitoring points and the multiple renovation evaluation indicators, the renovation effect of the building to be renovated is determined.

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