Green building ESG report generation method and device, terminal and storage medium

Abstract

The invention provides a green building ESG report generation method and device, a terminal and a storage medium, and the method comprises the steps: obtaining the rating related data of a target building, the rating related data at least comprising the geographic position data of the target building; based on the rating related data, determining a green building rating model corresponding to the target building, and inputting the rating related data into the green building rating model to obtain key index data and a rating result of the green building of the target building; obtaining a report target area and a report demand of the target building, and determining an ESG report framework in combination with the geographic position data, the report target area and the report demand; and generating a green building ESG report. According to the method, the ESG report framework is generated by combining the geographic position data, the report target area and the report demand, and then the green building ESG report is generated, so that the precision of the content of the green building ESG report aiming at regionality and the report demand can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of building science and technology, and in particular to a method, device, terminal and storage medium for generating an ESG report for a green building. Background Art

[0002] As the world's attention to environmental protection, social responsibility and corporate governance (ESG) continues to increase, green buildings, as an important carrier of sustainable development, have attracted much attention for their ESG performance. Green building ESG reports can fully show investors, the public and other groups the situation of buildings in terms of environmental friendliness, social responsibility fulfillment and good governance, which is of great significance to improving the image of buildings, attracting investment and promoting the development of the entire green building industry.

[0003] In the existing technology, most ESG reporting frameworks are fixed universal templates. This "standardized" reporting model is often difficult to fully consider the unique geographical location, reporting target area, reporting needs and other personalized needs of different buildings in actual operation. The problem caused by this is that the content of the ESG report is less accurate in terms of regionality and reporting needs.

[0004] Therefore, the prior art has defects and needs to be improved and developed. Summary of the invention

[0005] The technical problem to be solved by the present invention is that, in view of the above-mentioned defects of the prior art, a method, device, terminal and storage medium for generating a green building ESG report are provided, aiming to solve the problem of low accuracy of the content of the ESG report in the prior art in terms of regionality and reporting requirements.

[0006] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0007] In a first aspect, an embodiment of the present invention provides a method for generating a green building ESG report, the method comprising:

[0008] Acquire rating-related data of the target building, wherein the rating-related data at least includes geographic location data of the target building;

[0009] Based on the rating-related data, determine a green building rating model corresponding to the target building, and input the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building;

[0010] Obtaining a reporting target area and reporting requirements of a target building, and generating an ESG reporting framework based on the geographic location data, the reporting target area and the reporting requirements;

[0011] A green building ESG report is generated based on the key indicator data, the rating results and the ESG reporting framework.

[0012] In one embodiment, the rating-related data also includes building basic data, building internal environment data, BIM model data, building energy management data, water resource management data, building waste management and resource recycling data, building materials and equipment performance data, building personnel activity data, building safety and security data, and building surrounding environment data.

[0013] In one embodiment, determining a green building rating model corresponding to a target building based on the rating-related data includes:

[0014] Preprocessing the rating-related data to obtain target rating-related data;

[0015] Processing the target rating related data using a preset classification algorithm to obtain a classification result of the target building;

[0016] A green building rating model corresponding to the target building is determined based on the classification result.

[0017] In one implementation, the preprocessing of the rating-related data to obtain target rating-related data includes:

[0018] Performing a data cleaning operation on the rating-related data to obtain first rating-related data;

[0019] unifying the first rating-related data into a structured format to obtain second rating-related data;

[0020] The second rating-related data is normalized to obtain target rating-related data.

[0021] In one embodiment, the generating an ESG reporting framework based on the geographic location data, the reporting target area and the reporting requirements includes:

[0022] Based on the geographic location data, determining a first target reporting framework;

[0023] Determining a second target reporting framework based on the reporting target area and the reporting requirements;

[0024] Combine the first target reporting framework and the second target reporting framework to generate an ESG reporting framework.

[0025] In one embodiment, generating a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework includes:

[0026] Fill the key indicator data and the rating results into the corresponding positions of the ESG report framework to obtain an initial ESG report;

[0027] Analyze the key indicator data and the rating results to obtain a comprehensive building evaluation and building improvement suggestions;

[0028] A green building ESG report is generated by combining the initial ESG report, the comprehensive building evaluation and the building improvement suggestions.

[0029] In one embodiment, the method further comprises:

[0030] The green building ESG report is uploaded to the blockchain for storage.

[0031] In a second aspect, an embodiment of the present invention further provides a green building ESG report generation device, comprising:

[0032] An information acquisition module, used to acquire rating-related data of a target building, wherein the rating-related data at least includes geographic location data of the target building;

[0033] A result generation module is used to determine a green building rating model corresponding to a target building based on the rating-related data, and input the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building;

[0034] A framework determination module, used to obtain a reporting target area and reporting requirements of a target building, and generate an ESG report framework based on the geographic location data, the reporting target area and the reporting requirements;

[0035] A report generation module is used to generate a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework.

[0036] In the third aspect, an embodiment of the present invention also provides a terminal, comprising: a memory, a processor, and a green building ESG report generation program stored in the memory and executable on the processor, wherein the green building ESG report generation program implements the steps of the green building ESG report generation method as described above when executed by the processor.

[0037] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores a green building ESG report generation program, and the green building ESG report generation program can be executed to implement the steps of the green building ESG report generation method as described above.

[0038] Beneficial effects of the present invention: The present invention obtains rating-related data of a target building, wherein the rating-related data at least includes geographic location data of the target building; based on the rating-related data, determines a green building rating model corresponding to the target building, and inputs the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building; obtains the reporting target area and reporting requirements of the target building, and determines an ESG reporting framework in combination with the geographic location data, the reporting target area and the reporting requirements; generates a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework. The present invention generates an ESG reporting framework in combination with geographic location data, the reporting target area and the reporting requirements, and then generates a green building ESG report, which can effectively improve the accuracy of the green building ESG report content with respect to regionality and reporting requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a flow chart of a preferred embodiment of the method for generating a green building ESG report in the present invention.

[0040] Figure 2 It is a structural schematic diagram of a preferred embodiment of the green building ESG report generation device in the present invention.

[0041] Figure 3 It is a terminal principle block diagram of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] As the world's attention to environmental protection, social responsibility and corporate governance (ESG) continues to increase, green buildings, as an important carrier of sustainable development, have attracted much attention for their ESG performance. Green building ESG reports can fully show investors, the public and other groups the situation of buildings in terms of environmental friendliness, social responsibility fulfillment and good governance, which is of great significance to improving the image of buildings, attracting investment and promoting the development of the entire green building industry.

[0044] In the existing technology, most ESG reporting frameworks are fixed universal templates. This "standardized" reporting model is often difficult to fully consider the unique geographical location, reporting target area, reporting needs and other personalized needs of different buildings in actual operation. The problem caused by this is that the content of the ESG report is less accurate in terms of regionality and reporting needs.

[0045] In view of the above-mentioned defects of the prior art, the present invention provides a method, device, terminal and storage medium for generating a green building ESG report, which belongs to the field of building science and technology. The method includes: obtaining rating-related data of a target building, wherein the rating-related data at least includes the geographical location data of the target building; based on the rating-related data, determining a green building rating model corresponding to the target building, and inputting the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building; obtaining the reporting target area and reporting requirements of the target building, and determining an ESG reporting framework in combination with the geographical location data, the reporting target area and the reporting requirements; and generating a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework. The present invention generates an ESG reporting framework by combining the geographical location data, the reporting target area and the reporting requirements, and then generates a green building ESG report, which can effectively improve the accuracy of the green building ESG report content in terms of regionality and reporting requirements.

[0046] See also Figure 1 The green building ESG report generation method according to the embodiment of the present invention comprises the following steps:

[0047] Step S100: Acquire rating-related data of a target building, wherein the rating-related data at least includes geographic location data of the target building.

[0048] Specifically, the rating-related data is data related to green building rating of a building, and at least includes geographic location data of the target building.

[0049] In one implementation, the rating-related data also includes building basic data, building internal environment data, BIM model data, building energy management data, water resource management data, building waste management and resource recycling data, building materials and equipment performance data, building personnel activity data, building safety and security data, and building surrounding environment data.

[0050] Specifically, the present invention obtains data of different dimensions and stores them in a cloud database. With its powerful storage and integration capabilities, the cloud database gathers a large amount of multi-dimensional data. As time goes by and the number of construction projects increases, these data gradually form a large-scale data collection, thus forming a data resource pool that meets the characteristics of big data and can effectively meet the needs of different users.

[0051] In the present invention, the basic building data includes building type, building scale, building age, etc. The internal building environment data comes from various sensors deployed in the target building, and the internal building environment data specifically includes indoor temperature, indoor humidity, air quality index, etc. The air quality index includes CO2 concentration, VOC concentration, particulate matter concentration, etc.

[0052] The BIM model data comes from the BIM model of the target building. The present invention uses a trained convolutional neural network (CNN) or graph neural network (GNN) to process the BIM model, and can extract data related to building structure, building materials, building facilities, and building carbon emissions (including embodied carbon and operating carbon).

[0053] Building energy management data comes from the energy management system of the target building, including carbon emission statistics, energy usage data, energy consumption distribution data, etc. Energy usage data includes the total electricity consumption of the building, peak load, and equipment power efficiency. If renewable energy (such as solar energy, wind energy, etc.) is used in the building, the energy usage data also includes the power generation, actual usage rate and energy conversion rate of renewable energy. Energy consumption distribution data is used to indicate the energy consumption of each device in the building, such as the energy consumption of specific electrical equipment such as air conditioners, elevators and office equipment.

[0054] The water resource management data comes from the water resource management system of the target building, including water consumption and water quality testing data of each floor or area. Water quality monitoring data includes pH value, dissolved oxygen content, and pollutant concentration. If the target building contains a water resource circulation system, the water resource management data also includes rainwater collection data and wastewater treatment data. In addition, the target building is also equipped with a leak detection sensor to scan the water supply pipe for leaks in real time to ensure the integrity of the water resource management data.

[0055] The construction waste management and resource recycling data comes from the intelligent waste resource management system of the target building. Construction waste includes various types such as paper, plastic, metal and electronic waste. The construction waste management and resource recycling data specifically include the classification and recycling amount of waste in the target building, the waste generation rate, and the operating status of the waste treatment equipment. The operating status of the waste treatment equipment specifically includes the operating time and energy consumption data of the compressor and garbage disposer.

[0056] The building materials and equipment performance data comes from the equipment management system of the target building, including building materials aging data, air conditioning system efficiency and operating status, elevator usage frequency and energy consumption. If the target building also contains solar panels or wind power generation equipment, the operation data of the solar panels or wind power generation equipment is also included.

[0057] The building personnel activity data comes from the sensors and access control system of the target building, including the personnel density distribution data during peak hours, the frequency of use of building entrances and exits, and the building space utilization rate data. The building space utilization rate data includes the space utilization rate of each section. If the target building is an office building, the space utilization rate data includes the space utilization rate of meeting rooms, parking lots, and public areas.

[0058] Building safety and security data comes from IoT sensors and access control systems, including smoke concentration, temperature change data, carbon monoxide concentration, personnel traffic data, and building structure health monitoring data. Among them, building structure monitoring data comes from vibration sensors and displacement sensors on the target building, which can track the safety status of the building structure in real time.

[0059] The data of the building's surrounding environment are obtained through external monitoring channels, including the building's external meteorological data (wind speed, rainfall, sunshine time, etc.), the green coverage rate data around the building, the air quality data around the building, the ecological data around the building, the traffic convenience data around the building, the public facilities data around the building, etc. The ecological data around the building covers biodiversity indicator data, such as vegetation types, bird and insect numbers, etc., which can provide data support for the impact of the building on the surrounding environment.

[0060] The present invention supports the acquisition of data from a variety of different sources in order to support different types of green building rating models. With current technology, it is difficult to use real-time monitoring data of buildings when rating green buildings. The present invention uses different sensors and management systems to effectively obtain real-time monitoring data of target buildings, thereby providing objective data for green building ratings. When the sensors of the Internet of Things upload data, lightweight protocols are used, which can be MQTT, CoAP and other protocols, and are not limited here. Lightweight protocols can meet the data transmission needs of low-power devices.

[0061] In one implementation, after obtaining rating-related data of a target building, wherein the rating-related data at least includes geographic location data of the target building, the method further includes:

[0062] Perform data analysis on the rating-related data obtained historically to obtain analysis results.

[0063] Specifically, the present invention can use the time series analysis method to analyze the rating-related data of the building, such as analyzing the changing trend of the building's energy consumption data over time, to obtain the analysis results. According to the analysis results, the future energy demand and environmental impact can be predicted, and the corresponding response strategies can be formulated in advance.

[0064] See also Figure 1 The green building ESG report generation method according to the embodiment of the present invention further includes the following steps:

[0065] Step S200: Based on the rating-related data, determine the green building rating model corresponding to the target building, and input the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building.

[0066] Specifically, after obtaining the rating-related data of the target building, the corresponding green building rating model can be determined based on the rating-related data, and then the rating can be performed using the green building rating model. The green building rating model is any one of LEED, BREEAM, BEAM Plus, 3-Stars, and BELUCKS. Among them, BELUCKS is an independently developed rating model, which mainly considers seven categories for green building rating: BIM building information, energy management and efficiency, waste management, urban greening and biodiversity, recycling of materials and water, indoor air quality, social infrastructure around the building, and surrounding environment.

[0067] In one implementation, determining a green building rating model corresponding to a target building based on the rating-related data includes:

[0068] Preprocessing the rating-related data to obtain target rating-related data;

[0069] Processing the target rating related data using a preset classification algorithm to obtain a classification result of the target building;

[0070] A green building rating model corresponding to the target building is determined based on the classification result.

[0071] Specifically, the process of preprocessing the rating-related data is as follows: performing a data cleaning operation on the rating-related data to obtain first rating-related data; unifying the first rating-related data into a structured format to obtain second rating-related data; normalizing the second rating-related data to obtain target rating-related data. Data cleaning includes processing missing values ​​and outliers. When processing missing values, mean interpolation, linear difference or a preset filling algorithm can be used. When processing outliers, correction can be made through z-score detection. Due to different data sources, it is also necessary to unify the data into a structured format so that it can be stored in a cloud database. For the convenience of rating, the data is also normalized. After the above processing, the target rating-related data can be obtained. The present invention uses a preset classification algorithm to process the target rating-related data, and can obtain the classification result of the target building, and determine the green building rating model corresponding to the target building based on the classification result. The classification algorithm can be a decision tree or a support vector machine.

[0072] See also Figure 1 The green building ESG report generation method according to the embodiment of the present invention further includes the following steps:

[0073] Step S300: Obtain the reporting target area and reporting requirements of the target building, and generate an ESG reporting framework based on the geographic location data, the reporting target area and reporting requirements.

[0074] Specifically, the reporting target area is the geographic location of the reporting object of the green building ESG report. The reporting requirements are the information that the building owner or operator himself hopes to disclose to the public, as well as the information disclosure regulations on ESG in the location of the building, and the information disclosure regulations on ESG in the reporting target area. By combining geographic location data, reporting target areas and reporting requirements, the present invention can generate an ESG reporting framework in a more targeted manner, and then generate a green building ESG report. Compared with the prior art that directly applies the existing reporting framework, the present invention can effectively improve the accuracy of the green building ESG report content in terms of regionality and reporting needs, and effectively provide more valuable information for the reporting object.

[0075] In one implementation, generating an ESG reporting framework based on the geographic location data, the reporting target area, and the reporting requirements includes:

[0076] Based on the geographic location data, determining a first target reporting framework;

[0077] Determining a second target reporting framework based on the reporting target area and the reporting requirements;

[0078] Combine the first target reporting framework and the second target reporting framework to generate an ESG reporting framework.

[0079] Specifically, the present invention first selects a suitable first target reporting framework from the existing reporting framework based on the geographic location data of the target building, and then analyzes the reporting target area and reporting requirements, selects a suitable second target reporting framework from the existing reporting framework, and then combines the two to obtain an ESG reporting framework. Existing reporting frameworks include SASB framework, GRI standard framework, TCFD framework, ESRS framework, and GRESB framework. For example, if a target building is located in Hong Kong, Hong Kong has HKEx mandatory ESG requirements, the reporting target area is global, and the reporting object needs to face global investors, then the TCFD framework is first selected as the first target reporting framework based on the location of the target building, and then the internationally used GRI framework is selected as the second target reporting framework, and the ESG reporting framework of the target building is subsequently generated after the two reporting frameworks are merged.

[0080] See also Figure 1 The green building ESG report generation method according to the embodiment of the present invention further includes the following steps:

[0081] Step S400: Generate a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework.

[0082] Specifically, after obtaining the ESG reporting framework, the green building ESG report is generated by combining key indicator data, rating results and the ESG reporting framework.

[0083] In one implementation, generating a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework includes:

[0084] Fill the key indicator data and the rating results into the corresponding positions of the ESG report framework to obtain an initial ESG report;

[0085] Analyze the key indicator data and the rating results to obtain a comprehensive building evaluation and building improvement suggestions;

[0086] A green building ESG report is generated by combining the initial ESG report, the comprehensive building evaluation and the building improvement suggestions.

[0087] Specifically, when generating a green building ESG report, the specific structure and content focus of the ESG reporting framework will first be accurately determined based on the building's geographical location and the pre-determined reporting target area and reporting needs (such as reporting to international investment institutions, participating in the selection of local green building demonstration projects, etc.). Next, the key indicator data obtained from the rating model (such as detailed energy consumption data, carbon emission quantitative indicators, the amount of various types of waste generated and recycling rates, etc.) and the rating results will be filled into the established ESG reporting framework. At the same time, through in-depth analysis of these key indicator data and rating results, a comprehensive evaluation of the building that meets local regulatory requirements and targeted building improvement suggestions are generated. The improvement suggestions will target the deficiencies found during the rating process, such as the room for improvement in water resource utilization efficiency, and propose specific improvement measures, such as installing intelligent water-saving equipment, optimizing rainwater collection systems, etc., and these suggestions strictly follow the local construction industry's regulations, standards and policy guidelines in terms of environmental protection and energy conservation.

[0088] The present invention obtains an initial report by filling key indicator data and rating results into the corresponding positions of the ESG reporting framework, which can ensure that the content of the report is closely centered on the actual situation of the building and avoid general discussions. For example, in the environmental section, the building's energy consumption data, carbon emission data, etc. are accurately placed in the corresponding chapters, so that the reporting object can quickly locate and understand the building's environmental performance. Based on these data and rating results, analysis is then conducted to propose building improvement suggestions that meet local regulatory requirements. This makes the report not only a presentation of the current situation, but also provides a clear direction and path for the sustainable development of the building, which is very practical. For stakeholders such as investors and building operators, the ESG report generated in this way provides comprehensive and in-depth information. The comprehensive evaluation of buildings enables investors to quickly understand the overall sustainable development level of the building, thereby making more informed investment decisions; building operators can clarify their own work priorities and directions from the improvement suggestions, reasonably allocate resources, optimize the building's operation and management strategies, and improve the building's long-term competitiveness and value.

[0089] In one implementation, the method further includes:

[0090] The green building ESG report is uploaded to the blockchain for storage.

[0091] Specifically, the present invention uses blockchain technology to save green building ESG reports. In addition, after obtaining rating-related data, the rating-related data is uploaded to the cloud database, and a hash value is generated and stored in the blockchain for subsequent verification. When the green building rating is completed, the rating results are stored in the cloud database, and a hash value of the rating results is generated, and the hash value of the rating results and its generation time are also recorded in the blockchain. When subsequent users view the green building ESG report, they query the relevant data through the blockchain, obtain the hash value and verify it with the off-chain data to ensure that the data has not been tampered with. The present invention uses blockchain technology to enhance the transparency, traceability and credibility of the report data, providing a solid trust guarantee for regulators, investors and the public.

[0092] In one implementation, the method further includes:

[0093] Conduct a data sensitivity check on the green building ESG report, and maintain or improve the green building ESG report based on the check results.

[0094] Specifically, the present invention presets sensitive words. Sensitive words can be defined by the user. After the green building ESG report is completed, the content is checked based on the preset sensitive words. If sensitive words are found, they are removed and the content is adjusted; if no sensitive words are found, the report content is maintained. The present invention can effectively balance the relationship between data use and privacy protection by performing data sensitivity checks on the report.

[0095] In summary, the present invention obtains rating-related data of a target building, wherein the rating-related data at least includes the geographic location data of the target building; based on the rating-related data, determines the green building rating model corresponding to the target building, and inputs the rating-related data into the green building rating model to obtain the key indicator data and rating results of the green building of the target building; obtains the reporting target area and reporting requirements of the target building, and determines the ESG reporting framework in combination with the geographic location data, the reporting target area and the reporting requirements; and generates a green building ESG report. The present invention generates an ESG reporting framework by combining geographic location data, the reporting target area and the reporting requirements, and then generates a green building ESG report, which can effectively improve the accuracy of the green building ESG report content with respect to regionality and reporting requirements.

[0096] In one embodiment, if Figure 2 As shown, based on the above-mentioned green building ESG report generation method, the present invention also provides a green building ESG report generation device, including:

[0097] The information acquisition module 100 is used to acquire rating-related data of a target building, wherein the rating-related data at least includes geographic location data of the target building;

[0098] A result generation module 200 is used to determine a green building rating model corresponding to a target building based on the rating-related data, and input the rating-related data into the green building rating model to obtain key indicator data and rating results of a green building of the target building;

[0099] A framework determination module 300 is used to obtain a reporting target area and reporting requirements of a target building, and generate an ESG report framework based on the geographic location data, the reporting target area and the reporting requirements;

[0100] The report generation module 400 is used to generate a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework.

[0101] In one embodiment, the device further comprises:

[0102] A data preprocessing unit, used to preprocess the rating-related data to obtain target rating-related data;

[0103] A classification unit, used to process the target rating related data using a preset classification algorithm to obtain a classification result of the target building;

[0104] A model determination unit is used to determine a green building rating model corresponding to the target building based on the classification result.

[0105] In one embodiment, the device further comprises:

[0106] a data cleaning unit, configured to perform a data cleaning operation on the rating-related data to obtain first rating-related data;

[0107] a format conversion unit, configured to unify the first rating-related data into a structured format to obtain second rating-related data;

[0108] A normalization unit is used to normalize the second rating-related data to obtain target rating-related data.

[0109] In one embodiment, the device further comprises:

[0110] A first framework determining unit, configured to determine a first target reporting framework based on the geographic location data;

[0111] A second framework determining unit, configured to determine a second target reporting framework based on the reporting target area and reporting requirements;

[0112] The final framework determination unit is used to generate an ESG reporting framework by combining the first target reporting framework and the second target reporting framework.

[0113] In one embodiment, the report generation module includes:

[0114] An initial report generating unit, used to fill the key indicator data and the rating results into corresponding positions of the ESG report framework to obtain an initial ESG report;

[0115] A suggestion generating unit, configured to analyze the key indicator data and the rating results to obtain a comprehensive building evaluation and building improvement suggestions;

[0116] The final report generating unit is used to generate a green building ESG report by combining the initial ESG report, the comprehensive building evaluation and the building improvement suggestions.

[0117] In one embodiment, the device further comprises:

[0118] The report uploading unit is used to upload the green building ESG report to the blockchain for storage.

[0119] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Figure 3As shown. The terminal includes a processor, a memory, a network interface and a display screen connected via a device bus. The processor of the terminal is used to provide computing and control capabilities. The memory of the terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating device and a green building ESG report generation program. The internal memory provides an environment for the operation of the operating device and the green building ESG report generation program in the non-volatile storage medium. The network interface of the terminal is used to communicate with an external terminal via a network connection. When the green building ESG report generation program is executed by the processor, the steps of any one of the above-mentioned green building ESG report generation methods are implemented. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.

[0120] Those skilled in the art will understand that Figure 3 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the terminal to which the scheme of the present invention is applied. The specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0121] In one embodiment, a terminal is provided, which includes a memory, a processor, and a green building ESG report generation program stored in the memory and executable on the processor. When the green building ESG report generation program is executed by the processor, the steps of any one of the green building ESG report generation methods provided in the embodiments of the present invention are implemented.

[0122] An embodiment of the present invention further provides a computer-readable storage medium, on which a green building ESG report generation program is stored. When the green building ESG report generation program is executed by a processor, the steps of any green building ESG report generation method provided by an embodiment of the present invention are implemented.

[0123] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0124] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the above-mentioned device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned device can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0125] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0126] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0127] In the embodiments provided by the present invention, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are only illustrative, for example, the division of the above modules or units is only a logical function division, and in actual implementation, other division methods can be used, for example, multiple units or components can be combined or integrated into another apparatus, or some features can be ignored or not executed.

[0128] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features therein may be replaced by equivalents. However, these modifications or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A method for generating a green building ESG report, characterized in that: The method comprises: Acquire rating-related data of the target building, wherein the rating-related data at least includes geographic location data of the target building; Based on the rating-related data, determine a green building rating model corresponding to the target building, and input the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building; Obtaining a reporting target area and reporting requirements of a target building, and generating an ESG reporting framework based on the geographic location data, the reporting target area and the reporting requirements; A green building ESG report is generated based on the key indicator data, the rating results and the ESG reporting framework.

2. The green building ESG report generation method according to claim 1 is characterized in that: The rating-related data also includes building basic data, building internal environment data, BIM model data, building energy management data, water resource management data, building waste management and resource recycling data, building materials and equipment performance data, building personnel activity data, building safety and security data, and building surrounding environment data.

3. The green building ESG report generation method according to claim 1 is characterized in that: Determining a green building rating model corresponding to the target building based on the rating-related data includes: Preprocessing the rating-related data to obtain target rating-related data; Processing the target rating related data using a preset classification algorithm to obtain a classification result of the target building; A green building rating model corresponding to the target building is determined based on the classification result.

4. The method for generating a green building ESG report according to claim 3, characterized in that: The preprocessing of the rating-related data to obtain target rating-related data includes: Performing a data cleaning operation on the rating-related data to obtain first rating-related data; unifying the first rating-related data into a structured format to obtain second rating-related data; The second rating-related data is normalized to obtain target rating-related data.

5. The method for generating a green building ESG report according to claim 1, characterized in that: The generating an ESG reporting framework based on the geographic location data, the reporting target area and the reporting requirements includes: Based on the geographic location data, determining a first target reporting framework; Determining a second target reporting framework based on the reporting target area and the reporting requirements; Combine the first target reporting framework and the second target reporting framework to generate an ESG reporting framework.

6. The method for generating a green building ESG report according to claim 1, characterized in that: The generating of a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework includes: Fill the key indicator data and the rating results into the corresponding positions of the ESG report framework to obtain an initial ESG report; Analyze the key indicator data and the rating results to obtain a comprehensive building evaluation and building improvement suggestions; A green building ESG report is generated by combining the initial ESG report, the comprehensive building evaluation and the building improvement suggestions.

7. The method for generating a green building ESG report according to claim 1, characterized in that: The method further comprises: The green building ESG report is uploaded to the blockchain for storage.

8. A green building ESG report generation device, characterized in that: include: An information acquisition module, used to acquire rating-related data of a target building, wherein the rating-related data at least includes geographic location data of the target building; A result generation module is used to determine a green building rating model corresponding to a target building based on the rating-related data, and input the rating-related data into the green building rating model to obtain key indicator data and rating results of the green building of the target building; A framework determination module, used to obtain a reporting target area and reporting requirements of a target building, and generate an ESG report framework based on the geographic location data, the reporting target area and the reporting requirements; A report generation module is used to generate a green building ESG report based on the key indicator data, the rating results and the ESG reporting framework.

9. A terminal, characterized in that: The terminal includes a memory, a processor, and a green building ESG report generation program stored in the memory and executable on the processor. When the green building ESG report generation program is executed by the processor, the steps of the green building ESG report generation method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a green building ESG report generation program, and when the green building ESG report generation program is executed by the processor, the steps of the green building ESG report generation method according to any one of claims 1 to 7 are implemented.

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