Numerical Analysis Method for Low-Energy Retrofit of Existing Buildings in Cold Regions

Abstract

The present invention discloses a numerical analysis method for low-energy consumption renovation of existing buildings in cold regions, belonging to the technical field of low-energy consumption renovation of buildings. The present invention solves the problem that the existing technology lacks unified technical standards and evaluation methods. By collecting the basic information and energy consumption data of existing buildings in cold regions, a building model is established using DesignBuilder simulation software, and the energy consumption of the heating and lighting systems to which the model belongs is simulated. Then, the simulation results are compared with the actual energy consumption data to analyze the accuracy of the simulation results; and the energy consumption performance of the existing buildings is evaluated by comparing the measured energy consumption indicators with the simulation results. Based on the simulation results and comparative analysis, a targeted optimization strategy is constructed; through the above steps, numerical analysis is realized, which can provide specific and quantifiable low-energy consumption renovation suggestions for existing buildings in cold regions, thereby improving the energy efficiency of buildings, reducing energy consumption, and maintaining the comfort of the indoor environment at the same time.

Description

Technical Field

[0001] The present invention relates to the technical field of building low - energy consumption renovation, and particularly to a numerical analysis method for low - energy consumption renovation of existing buildings in cold regions. Background Technique

[0002] The global energy situation is becoming increasingly serious, and the energy crisis has always troubled every country; with the rapid economic development of our country, the problem of energy shortage has attracted the high attention of most people. Among various forms of energy consumption, the proportion of building energy consumption in the total energy consumption of our country has been increasing year by year, and green buildings have become a key issue of concern to the whole society.

[0003] The numerical analysis of low - energy consumption renovation of existing buildings in cold regions refers to the quantitative analysis of the technologies and indicators for low - energy consumption renovation of existing buildings in cold regions to determine the best renovation plan and parameters. This kind of analysis usually involves simulating and evaluating the thermal performance of building envelopes, such as walls, roofs, windows, etc., to find renovation measures that can minimize energy consumption while maintaining indoor comfort.

[0004] In the existing technology, when it comes to the low - energy consumption renovation of existing buildings in cold regions, there is a lack of unified technical standards and evaluation methods, resulting in the difficulty of quantitatively comparing the renovation effects and affecting the scientificity and comparability of the renovation effects.

[0005] Therefore, it does not meet the existing requirements, and for this reason, we propose a numerical analysis method for low - energy consumption renovation of existing buildings in cold regions. Summary of the Invention

[0006] The purpose of the present invention is to provide a numerical analysis method for low - energy consumption renovation of existing buildings in cold regions. By collecting the basic information and energy consumption data of existing buildings in cold regions, using DesignBuilder simulation software to establish a building model, simulating the energy consumption of the heating and lighting systems to which the model belongs, and then comparing the simulation results with the actual energy consumption data to analyze the accuracy of the simulation results; and evaluating the energy consumption performance of existing buildings by comparing the measured energy consumption indicators with the simulation results, and constructing a targeted optimization strategy based on the simulation results and comparative analysis; through the above steps, numerical analysis can be realized, providing specific and quantifiable low - energy consumption renovation suggestions for existing buildings in cold regions, thereby improving the energy efficiency of buildings, reducing energy consumption, and maintaining the comfort of the indoor environment at the same time, solving the problems raised in the above - mentioned background technique.

[0007] To achieve the above - mentioned purpose, the present invention provides the following technical solutions:

[0008] A numerical analysis method for low - energy consumption renovation of existing buildings in cold regions, comprising the following steps:

[0009] Step 1: Collect the basic information and energy consumption data of existing buildings in cold regions as the basic data for numerical analysis of low-energy renovation.

[0010] Step 2: Use DesignBuilder simulation software to establish a building model that can reflect the actual structure of existing buildings.

[0011] Step 3: After the building model is established, use DesignBuilder simulation software to simulate the energy consumption of the heating and lighting systems of existing buildings, and record the changes in energy consumption under the influence of different time periods and outdoor temperatures on the energy consumption of existing buildings.

[0012] Step 4: Compare the simulation results with the actual energy consumption data, analyze the accuracy of the simulation results, and evaluate the energy consumption performance of existing buildings by comparing the measured energy consumption indicators with the simulation results.

[0013] Step 5: Based on the simulation results and comparative analysis, construct targeted optimization strategies, save the optimization strategies according to energy consumption categories, and form an optimization strategy database.

[0014] Further, in Step 1, after collecting the basic information and energy consumption data of existing buildings in cold regions, the following steps are included:

[0015] Preprocess the basic information and energy consumption data of existing buildings: including formatting, normalizing, de-duplicating, removing noise and outliers from the data, and converting the original data into a data format suitable for analysis; perform data extraction, cleaning, transformation, and loading to integrate datasets from multiple data sources into one dataset; use statistical analysis, logical verification, rule checking, data comparison, and visualization methods to verify the cleaned data, store the cleaned, transformed, and verified data to form a data sample library, and ensure that the data is readable, modifiable, and maintainable.

[0016] Further, in Step 2, using DesignBuilder simulation software to establish a building model that can reflect the actual structure of existing buildings specifically includes the following steps:

[0017] Based on the collected basic information and energy consumption data of existing buildings in cold regions, use DesignBuilder simulation software to establish a three-dimensional building model according to the size and structure of the actual building; after the model is established, set the parameters of the existing building, including: the orientation of the existing building, the position and size of the windows, the thickness and material of the walls, and import hourly meteorological data based on EnergyPlus software, and finally form a building model that can reflect the actual structure of existing buildings.

[0018] Further, in Step 3, use DesignBuilder simulation software to simulate the energy consumption of the heating and lighting systems of the existing building, which specifically includes the following steps:

[0019] Set geographical location and meteorological data: Select the geographical location corresponding to the cold region and the meteorological file to which it belongs, and ensure that the meteorological file selected for the project location matches the actual conditions;

[0020] Set the building activity level: Set the activity level according to the usage of the existing building, including: determining the usage time and occupancy density of the existing building;

[0021] Set the envelope structure information: Select the hierarchical envelope structure information of the existing building, including: external wall and roof information, and set the construction and material properties of the external wall and roof according to the actual situation;

[0022] Set window parameters: Select the opening in the existing building hierarchy and set the window type and size;

[0023] Set the HVAC system: Select whether to provide heating and set the corresponding operation schedule, including: determining the type of heating system and the operation time;

[0024] Simulate and run: After completing the above settings, conduct an energy consumption simulation run and view the results after the simulation ends, including: viewing the energy consumption data of the heating and lighting systems.

[0025] Further, in Step 4, compare the simulation results with the actual energy consumption data, which specifically includes the following steps:

[0026] Conduct a detailed analysis of the energy consumption of the existing building based on the simulation results, including: calculating the average monthly energy consumption, obtaining the energy efficiency situation of the existing building, and conducting an energy efficiency assessment on it to determine whether the energy efficiency of the existing building meets the expected goals, and calculating the overall trend and distribution of the data through statistical methods.

[0027] Further, in Step 5, construct a targeted optimization strategy, which specifically includes the following steps:

[0028] Based on the results of the simulation analysis and energy efficiency assessment, judge the problems and deficiencies existing in the low-energy renovation of existing buildings in the current cold region, and formulate corresponding optimization strategies, including: improving building design, enhancing energy use efficiency, and updating equipment; then implement the formulated optimization strategies and continuously monitor the energy consumption and performance of the existing building to ensure the effectiveness of the optimization measures.

[0029] Further, after storing the cleaned, transformed, and verified data to form a data sample library, it includes the following steps:

[0030] Tamper-proof processing of data, including:

[0031] Use a hash algorithm to encrypt the original data, generate a hash value, and store the generated hash value and the original data; when it is necessary to verify data tamper-proof, perform hash algorithm processing on the data to generate a new hash value; compare the new hash value with the stored hash value. If the two are the same, it means that the data has not been tampered with since the encrypted hash value; if the two are different, it means that the data may have been tampered with, and the process of detecting whether the data has been tampered with is completed.

[0032] Access encryption processing of data, including:

[0033] Use the asymmetric key method to encrypt the access to the database, distribute the private key to the designated analyst, and obtain the access permission to the database.

[0034] Further, in the first step, the method for collecting the basic information and energy consumption data of existing buildings in cold regions includes, but is not limited to, obtaining the initial state of existing building data in cold regions through various channels such as the databases, APIs, and web crawler technologies of cold region building management departments.

[0035] Further, after the result analysis, the following steps are included:

[0036] Use charts and visualization tools to display the proportions of different energy consumption items and the energy consumption amounts in different time periods for analysts to observe the change trends.

[0037] Further, real-time monitor the display operation quality of the visual display and perform an abnormal alarm when the display operation quality is abnormal, including:

[0038] Real-time monitor the display operation parameters during the visual display process, where the display operation parameters include the display refresh rate, the display brightness change rate, and the dynamic change execution response duration.

[0039] Obtain the first operation parameter by using the display refresh rate and the display brightness change rate in the display operation parameters; where the first operation parameter is obtained through the following formula:

[0040]

[0041] Where, P 01 represents the first operation parameter; R represents the display refresh rate; B represents the display brightness change rate; t represents the display operation duration; α represents a preset parameter coefficient, and the value range of the parameter coefficient is 0.38 - 0.73.

[0042] Execute the response duration in combination with the first operating parameter by using the dynamic changes in the display operating parameters; wherein, the second operating parameter is obtained through the following formula:

[0043]

[0044] Wherein, P 02 represents the second operating parameter; P 01 represents the first operating parameter; n represents the number of dynamic display adjustment times of the display operation; T i represents the response duration of the dynamic change execution corresponding to the i-th dynamic adjustment; T y represents the preset maximum allowable response duration;

[0045] Compare the second operating parameter with a preset operating parameter threshold;

[0046] When the second operating parameter exceeds the preset operating parameter threshold, it is determined that the display operation quality is abnormal, and an abnormal alarm is given.

[0047] Further, before implementing the formulated optimization strategy, the following steps are included:

[0048] Conduct a material cost analysis of the current optimization strategy to evaluate the economy of the renovation plan; by comparing the total investment of different renovation plans and the expected energy-saving benefits, select the most economical renovation plan.

[0049] Compared with the prior art, the beneficial effects of the present invention are:

[0050] In the present invention, by collecting the basic information and energy consumption data of existing buildings in cold regions, a building model that can reflect the actual structure of existing buildings is established by using DesignBuilder simulation software, and the energy consumption of the heating and lighting systems of existing buildings is simulated by using DesignBuilder simulation software, and the changes in energy consumption under the influence of different time periods and outdoor temperatures on the energy consumption of existing buildings are recorded; then the simulation results are compared with the actual energy consumption data to analyze the accuracy of the simulation results; and the energy consumption performance of existing buildings is evaluated by comparing the measured energy consumption indicators with the simulation results, and based on the simulation results and comparative analysis, a targeted optimization strategy is constructed; through the above steps, numerical analysis can be realized, and specific and quantifiable low-energy renovation suggestions can be provided for existing buildings in cold regions, thereby improving the energy efficiency of buildings, reducing energy consumption, and maintaining the comfort of the indoor environment at the same time. Brief Description of the Drawings

[0051] Figure 1 It is a flowchart of the numerical analysis method for low-energy renovation of existing buildings in cold regions of the present invention. Detailed Embodiments

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0053] In order to solve the technical problem that in the current technology, when performing low-energy consumption renovation on existing buildings in cold regions, there is a lack of unified technical standards and evaluation methods, resulting in the difficulty of quantitatively comparing the renovation effects and affecting the scientificity and comparability of the renovation effects, please refer to Figure 1 , the present embodiment provides the following technical solutions:

[0054] A numerical analysis method for low-energy consumption renovation of existing buildings in cold regions, comprising the following steps:

[0055] Step 1: Collect the basic information and energy consumption data of existing buildings in cold regions as the basic data for numerical analysis of low-energy consumption renovation; specifically, the methods for collecting the basic information and energy consumption data of existing buildings in cold regions include, but are not limited to, obtaining the initial state of existing building data in cold regions through various channels such as databases, APIs, and web crawler technologies belonging to the building management departments in cold regions; first, relevant data of existing buildings need to be collected, including: basic information such as the structure, materials, and dimensions of the building, the structure of the building includes: information such as the actual dimensions, structural characteristics, orientation, window-wall ratio, exterior walls, exterior windows, and roof structure of the building, as well as energy consumption data such as the thermal performance of the building and external environmental conditions. Based on these data, a digital model of existing buildings in cold regions is established using a numerical simulation software, namely: DesignBuilder simulation software, and this model is used as the basis for subsequent analysis.

[0056] Among them, after collecting the basic information and energy consumption data of existing buildings in cold regions, the following steps are included:

[0057] First, preprocess the basic information and energy consumption data of existing buildings: including formatting, normalizing, deduplicating, removing noise and outliers from the data, and converting the original data into a data format suitable for analysis; Second, perform data extraction, cleaning, transformation, and loading to integrate datasets from multiple data sources into one dataset; By preprocessing the basic information and energy consumption data of existing buildings, the accuracy of the data can be ensured, avoiding errors or omissions; Furthermore, use statistical analysis, logical verification, rule checking, data comparison, and visualization methods to verify the cleaned data. Through data processing, the costs and resource situations in the entire building process can be discovered in a timely manner, and cost deviations can be adjusted promptly, which helps to achieve effective cost control throughout the building life cycle; Finally, store the cleaned, transformed, and verified data to form a data sample library, and ensure that the data is readable, modifiable, and maintainable; Specifically, by preprocessing the basic information and energy consumption data of existing buildings, the problems and difficulties of existing building energy consumption can be better understood, thus providing strong data support for the building model of the actual structure of existing buildings; Based on this, accurate data provides scientific advice for decision-makers, thereby improving the reliability and safety of the existing building model.

[0058] Among them, after storing the cleaned, transformed, and verified data to form a data sample library, the following steps are included:

[0059] Perform anti-tampering processing on the data, including:

[0060] Use the hash algorithm to encrypt the original data to generate a hash value, and store the generated hash value together with the original data; When anti-tampering verification of the data is required, perform the hash algorithm processing on the data to generate a new hash value; Compare the new hash value with the stored hash value. If the two are the same, it means that the data has not been tampered with since the encrypted hash value; If the two are different, it means that the data may have been tampered with, and the process of detecting whether the data has been tampered with is completed; Based on this, through the above steps, the anti-tampering processing of the data can be achieved using the hash algorithm to ensure the integrity and authenticity of the data; Specifically, since data tampering may come from internal or external attacks, such as malware, hackers, or internal personnel errors; Regardless of the reason, data tampering may lead to serious consequences, and the most intuitive one is that the accuracy of the existing building model will deviate.

[0061] Perform access encryption processing on the data, including:

[0062] The access to the database is encrypted using the asymmetric key method. The private key is distributed to the designated analyst to obtain the access permission to the database. In this embodiment, for example, first, a pair of keys is generated, namely, the public key and the private key. Among them, the public key is public and can be distributed to anyone in the numerical analysis department who needs encrypted communication. The private key is confidential and can only be accessed by the owner of the key, that is, the private key is distributed to the designated analyst. Before data access, the public key is shared between the visitor and the visited. At this time, the public key converts the plaintext data into ciphertext data, making it unreadable at will. When data access is performed, the visitor will use the public key feedback by the visited for decryption processing to obtain the preliminary access permission. When the visitor obtains the preliminary access permission and synchronously receives the ciphertext data, the visitor uses the private key known to him to decrypt the ciphertext data back to the plaintext data, thereby restoring it to the original readable format. Based on this, through the paired use of the public key and the private key, the secure transmission and storage of data are ensured, and the protection ability in the field of database security is enhanced.

[0063] Step 2: Use DesignBuilder simulation software to establish a building model that can reflect the actual structure of the existing building. The specific steps are as follows:

[0064] Based on the basic information and energy consumption data of the existing buildings in cold regions collected, use DesignBuilder simulation software to establish a three-dimensional building model according to the size and structure of the actual building. This step requires accurate modeling according to the size and structure of the actual building to ensure the accuracy of the building model. After the model is established, set the various parameters of the existing building, including: the orientation of the existing building, the position and size of the windows, the thickness and material of the walls. The setting of the above parameters can directly affect the energy consumption simulation results of the building model. Therefore, when obtaining the above parameters, data preprocessing needs to be carried out through Step 1 to ensure the accuracy of the data. And import the hourly meteorological data based on the EnergyPlus software to finally form a building model that can reflect the actual structure of the existing building. Since the DesignBuilder simulation software is based on EnergyPlus, it has the function of importing hourly meteorological data. When using the software for simulation operation, by calculating the hourly meteorological data by the software, the energy consumption operation situation of the existing building under actual conditions can be simulated. Therefore, the meteorological data is crucial for simulating the energy consumption operation situation of the building under actual conditions. Based on this, through the above steps, a building model that can reflect the actual structure of the existing building can be established, and energy consumption simulation and indoor environment analysis can be carried out to provide a basis for the energy-saving transformation and optimization of the building.

[0065] Step 3: After the building model is established, use DesignBuilder simulation software to simulate the energy consumption of the heating and lighting systems of the existing building, and record the changes in energy consumption under the influence of different time periods and outdoor temperatures on the energy consumption of the existing building; specifically, it includes the following steps:

[0066] Set the geographical location and meteorological data: Select the geographical location corresponding to the cold region and the affiliated meteorological file, and ensure that the meteorological file selected for the project location is consistent with the actual conditions; specifically, since the geographical location information and meteorological data of the existing building can directly affect the accuracy of the simulation; therefore, before simulating it, it is necessary to ensure that the meteorological file selected for the project location is consistent with the cold region conditions.

[0067] Set the building activity level: Set the activity level according to the usage of the existing building, including: determining the usage time and occupancy density of the existing building, and the above two factors can directly affect the results of the energy consumption simulation; Set the enclosure structure information: Select the hierarchical enclosure structure information of the existing building, including: external wall and roof information, and set the structure and material properties of the external wall and roof according to the actual situation; Set the window parameters: Select the opening at the hierarchical level of the existing building, and set the window type and size; The purpose of this step is to simulate the impact of windows on energy consumption, so it is necessary to select the appropriate glass type and window size; Set the HVAC system: Select whether to provide heating and set the corresponding operation schedule, including: determining the type and operation time of the heating system, and the purpose of this step is to study the impact of the existing building on energy consumption under heating and non-heating conditions; Simulation operation: After completing the above settings, perform the energy consumption simulation operation, and view the results after the simulation ends, including: viewing the energy consumption data of the heating and lighting systems; Based on this, through the above steps, the DesignBuilder simulation software can effectively evaluate the energy consumption of the building's heating and lighting systems and provide a reference for building design and energy-saving measures.

[0068] Step 4: Compare the simulation results with the actual energy consumption data, analyze the accuracy of the simulation results, and evaluate the energy consumption performance of the existing building by comparing the measured energy consumption indicators with the simulation results; specifically, it includes the following steps:

[0069] Conduct a detailed analysis of the energy consumption of existing buildings based on the simulation results, including: calculating the average monthly energy consumption, obtaining the energy efficiency situation of existing buildings. Specifically, according to the simulation results, analyze the energy consumption situation of the building, including heating and cooling loads, energy consumption, etc., as well as the quality of the indoor environment, such as temperature, humidity, etc.; and conduct an energy efficiency assessment to determine whether the energy efficiency of the existing building meets the expected goals, and calculate the overall trend and distribution of the data through statistical methods, such as mean, median, standard deviation, etc.; Based on this, through the above steps, the results and comparative analysis of DesignBuilder simulation software can be effectively utilized to construct targeted optimization strategies, thereby improving the energy efficiency and performance of the building.

[0070] Among them, after the result analysis, the following steps are included:

[0071] Use charts and visualization tools to display the proportion of different energy consumption items and the energy consumption in different time periods for analysts to observe the change trends; specifically, through pie charts, bar charts, line charts, and heat maps, etc., the proportion of different energy consumption items and the energy consumption in different time periods can be intuitively displayed, facilitating the observation of change trends.

[0072] Step Five: Based on the simulation results and comparative analysis, construct targeted optimization strategies and save the optimization strategies by energy consumption category to form an optimization strategy database; specifically, the following steps are included:

[0073] Based on the results of simulation analysis and energy efficiency assessment, judge the problems and deficiencies existing in the low-energy consumption renovation of existing buildings in cold regions, and formulate corresponding optimization strategies, including: improving building design, enhancing energy use efficiency, and updating equipment; then implement the formulated optimization strategies and continuously monitor the energy consumption and performance of existing buildings to ensure the effectiveness of the optimization measures; among them, before implementing the formulated optimization strategies, the following steps are included: conduct a material cost analysis of the current optimization strategy and evaluate the economy of the renovation plan; select the most economical renovation plan by comparing the total investment of different renovation plans and the expected energy-saving benefits; Based on this, through the above steps, the results and comparative analysis of DesignBuilder simulation software can be effectively utilized to construct targeted optimization strategies, thereby improving the energy efficiency and performance of the building.

[0074] The beneficial effects achieved by the above content: Through the above operations, the numerical analysis of the low-energy consumption renovation of existing buildings in cold regions is realized, which can provide specific and quantifiable low-energy consumption renovation suggestions for existing buildings in cold regions, thereby improving the energy efficiency of existing buildings, reducing energy consumption, and maintaining the comfort of the indoor environment at the same time.

[0075] Working principle: By collecting the basic information and energy consumption data of existing buildings in cold regions, a building model that can reflect the actual structure of existing buildings is established using DesignBuilder simulation software, and the energy consumption of the heating and lighting systems of existing buildings is simulated using DesignBuilder simulation software, and the changes in energy consumption under the influence of different time periods and outdoor temperatures on the energy consumption of existing buildings are recorded; then the simulation results are compared with the actual energy consumption data to analyze the accuracy of the simulation results; and the energy consumption performance of existing buildings is evaluated by comparing the measured energy consumption indicators with the simulation results, and a targeted optimization strategy is constructed based on the simulation results and comparative analysis.

[0076] Specifically, after the result analysis, the following steps are further included:

[0077] Real-time monitor the display operation quality of the visual display and perform an abnormal alarm when the display operation quality is abnormal, including:

[0078] Real-time monitor the display operation parameters during the visual display process, where the display operation parameters include the display refresh rate, the display brightness change rate, and the dynamic change execution response duration;

[0079] Obtain the first operation parameter using the display refresh rate and the display brightness change rate in the display operation parameters; where the first operation parameter is obtained through the following formula:

[0080]

[0081] Where, P 01 represents the first operation parameter; R represents the display refresh rate; B represents the display brightness change rate; t represents the display operation duration; α represents a preset parameter coefficient, and the value range of the parameter coefficient is 0.38 - 0.73;

[0082] Obtain the second operation parameter by combining the dynamic change execution response duration in the display operation parameters with the first operation parameter; where the second operation parameter is obtained through the following formula:

[0083]

[0084] Where, P 02 represents the second operation parameter; P 01 represents the first operation parameter; n represents the number of display operation dynamic display adjustments; T i represents the dynamic change execution response duration corresponding to the i-th dynamic adjustment; T y represents the preset maximum allowable response duration;

[0085] Compare the second operation parameter with the preset operation parameter threshold;

[0086] When the second operating parameter exceeds a preset operating parameter threshold, it is determined that the display operation quality is abnormal, and an abnormal alarm is issued.

[0087] The technical effects of the above technical solution are as follows: By real-time monitoring of key display operating parameters (such as display refresh rate, display brightness change rate, and dynamic change execution response duration) during the visualization display process, this technical solution can capture and evaluate the operating state of the display system in real time. This real-time monitoring ensures that any potential display problems can be promptly discovered and addressed. By defining the first operating parameter (P01) and the second operating parameter (P02), and using a specific formula for calculation, this technical solution can convert the abstract display operation quality into specific quantitative indicators. This quantitative evaluation method not only improves the accuracy of the evaluation but also provides a solid foundation for subsequent abnormal determination. When the second operating parameter exceeds the preset operating parameter threshold, the system immediately determines that the display operation quality is abnormal and triggers an abnormal alarm. This early warning mechanism ensures the timely discovery and response to problems, reducing potential losses caused by display failures. When calculating the first operating parameter, a preset parameter coefficient α is introduced, and its value range is between 0.38 and 0.73. This design enables the technical solution to flexibly adjust the parameter coefficient according to different application scenarios and requirements to achieve a more accurate evaluation of the display operation quality. This technical solution not only considers the impact of the display refresh rate and display brightness change rate on the display operation quality but also introduces the important factor of dynamic change execution response duration. This comprehensive consideration method makes the evaluation results more comprehensive and accurate and can better reflect the overall operating state of the display system. Through real-time monitoring, quantitative evaluation, and early warning mechanism, this technical solution can promptly discover and solve problems in the display system, thereby improving the stability and reliability of the display system. This is particularly important for visualization display systems that require long-term stable operation.

[0088] In summary, through measures such as real-time monitoring of display operating parameters, quantitative evaluation of display operation quality, and introduction of an early warning mechanism, this technical solution effectively improves the stability and reliability of the visualization display system and provides strong technical support for applications in related fields.

[0089] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0090] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. Numerical analysis method for low-energy retrofit of existing buildings in cold regions, characterized in that, It includes the following steps: Step 1: Collect the basic information and energy consumption data of existing buildings in cold regions as the basic data for numerical analysis of low-energy consumption renovation; Step 2: Use DesignBuilder simulation software to establish a building model that can reflect the actual structure of existing buildings; Step 3: After the building model is established, use DesignBuilder simulation software to simulate the energy consumption of the heating and lighting systems of existing buildings, and record the changes in energy consumption under the influence of different time periods and outdoor temperatures on the energy consumption of existing buildings; Step 4: Compare the simulation results with the actual energy consumption data, analyze the accuracy of the simulation results, and evaluate the energy consumption performance of existing buildings by comparing the measured energy consumption indicators with the simulation results; Step 5: Based on the simulation results and comparative analysis, construct targeted optimization strategies, save the optimization strategies by energy consumption category, and form an optimization strategy database; After the result analysis, it includes the following steps: Use charts and visualization tools to display the proportions of different energy consumption items and the energy consumption amounts in different time periods for analysts to observe the change trends; Real-time monitor the display operation quality of the visual display, and perform an abnormal alarm when the display operation quality is abnormal, including: Real-time monitor the display operation parameters during the visual display process, where the display operation parameters include the display refresh rate, the display brightness change rate, and the dynamic change execution response duration; Obtain a first operation parameter using the display refresh rate and the display brightness change rate in the display operation parameters; where the first operation parameter is obtained through the following formula: Among them, P 01 represents the first operating parameter; R represents the display refresh rate; B represents the display brightness change rate; t represents the display running duration; α represents a preset parameter coefficient, and the value range of the parameter coefficient is 0.38 - 0.73; Obtain a second operation parameter by combining the dynamic change execution response duration in the display operation parameters with the first operation parameter; where the second operation parameter is obtained through the following formula: Among them, P 02 represents the second operating parameter; P 01 represents the first operating parameter; n represents the number of times of display operation dynamic display adjustment; T i represents the dynamic change execution response duration corresponding to the i-th dynamic adjustment; T y represents the preset maximum allowable response duration; Compare the second operation parameter with a preset operation parameter threshold; When the second operation parameter exceeds the preset operation parameter threshold, it is determined that the display operation quality is abnormal, and an abnormal alarm is performed.

2. The numerical analysis method for low-energy consumption renovation of existing buildings in cold regions according to claim 1, characterized in that: In Step 1, after collecting the basic information and energy consumption data of existing buildings in cold regions, it includes the following steps: Preprocess the basic information and energy consumption data of existing buildings: including formatting, normalizing, de-duplicating, removing noise and outliers from the data, and converting the original data into a data format suitable for analysis; performing data extraction, cleaning, transformation, and loading processing to integrate the data sets from multiple data sources into one data set; using statistical analysis, logical verification, rule checking, data comparison, and visualization methods to verify the cleaned data, storing the cleaned, transformed, and verified data to form a data sample library, and ensuring that the data is readable, modifiable, and maintainable.

3. The numerical analysis method for low-energy consumption retrofit of existing buildings in cold regions according to claim 1, characterized in that: In Step 2, using DesignBuilder simulation software to establish a building model that can reflect the actual structure of existing buildings specifically includes the following steps: Based on the basic information and energy consumption data of existing buildings in cold regions collected, use DesignBuilder simulation software to establish a three-dimensional building model according to the size and structure of the actual building; after the model is established, set the parameters of the existing building, including: the orientation of the existing building, the position and size of the windows, the thickness and material of the walls, and import hourly meteorological data based on EnergyPlus software, and finally form a building model that can reflect the actual structure of the existing building.

4. The numerical analysis method for low-energy consumption retrofit of existing buildings in cold regions according to claim 1, characterized in that: In step three above, use DesignBuilder simulation software to simulate the energy consumption of the heating and lighting systems of the existing building, specifically including the following steps: Set the geographical location and meteorological data: Select the geographical location corresponding to the cold region and the affiliated meteorological file to ensure that the meteorological file selected for the project location matches the actual conditions; Set the building activity level: Set the activity level according to the usage of the existing building, including: determining the usage time and occupancy density of the existing building; Set the envelope structure information: Select the hierarchical envelope structure information of the existing building, including: external wall and roof information, and set the construction and material properties of the external wall and roof according to the actual situation; Set the window parameters: Select the opening in the existing building hierarchy and set the window type and size; Set the HVAC system: Select whether to heat and set the corresponding operation schedule, including: determining the type of heating system and the operation time; Simulate and run: After completing the above settings, perform an energy consumption simulation run, and view the results after the simulation ends, including: viewing the energy consumption data of the heating and lighting systems.

5. The numerical analysis method for low-energy consumption retrofit of existing buildings in cold regions according to claim 1, characterized in that: In step four above, compare the simulation results with the actual energy consumption data, specifically including the following steps: Conduct a detailed analysis of the energy consumption of the existing building based on the simulation results, including: calculating the average monthly energy consumption, obtaining the energy efficiency situation of the existing building, and conducting an energy efficiency assessment on it, judging whether the energy efficiency of the existing building reaches the expected goal, and calculating the overall trend and distribution of the data through statistical methods.

6. The numerical analysis method for low-energy consumption renovation of existing buildings in cold regions according to claim 1, characterized in that: In step five above, construct a targeted optimization strategy, specifically including the following steps: Based on the results of the simulation analysis and energy efficiency assessment, judge the problems and deficiencies existing in the low-energy transformation of existing buildings in cold regions, and formulate corresponding optimization strategies; then implement the formulated optimization strategies and continuously monitor the energy consumption and performance of the existing buildings; before implementing the formulated optimization strategies, it includes the following steps: Conduct a material cost analysis of the current optimization strategy and evaluate the economy of the renovation plan; select the most economical renovation plan by comparing the total investment of different renovation plans and the expected energy-saving benefits.

7. The numerical analysis method for low-energy consumption renovation of existing buildings in cold regions according to claim 2, characterized in that: After storing the cleaned, transformed and verified data to form a data sample library, it includes the following steps: Perform anti-tampering processing on the data, including: Encrypt the original data using a hash algorithm to generate a hash value, and store the generated hash value and the original data; when it is necessary to perform anti-tampering verification on the data, perform hash algorithm processing on the data to generate a new hash value; compare the new hash value with the stored hash value. If the two are the same, it means that the data has not been tampered with since the encrypted hash value; if the two are different, it means that the data may have been tampered with, and the process of detecting whether the data has been tampered with is completed; Perform access encryption processing on the data, including: Use the asymmetric key method to encrypt the access to the database, distribute the private key to the designated analyst, and obtain the access permission to the database.

8. The numerical analysis method for low-energy consumption retrofit of existing buildings in cold regions according to claim 2, characterized in that: In the first step, the method for collecting the basic information and energy consumption data of existing buildings in cold regions includes, but is not limited to, obtaining the initial state of existing building data in cold regions through various channels such as the databases, APIs, and web crawler technologies of the building management departments in cold regions.

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