Intelligent Calculation Method for Indoor Energy Consumption of Yurts under Zero-Carbon Conditions

Abstract

The present invention discloses an intelligent calculation method for indoor energy consumption of yurt buildings under zero-carbon conditions, including the following steps: construction of a database for the yurt building to be measured; three-dimensional simulation modeling of the yurt building to be measured and acquisition of microenvironment sample parameters; construction of an intelligent training database for indoor energy consumption of the yurt building; intelligent calculation of indoor energy consumption of the yurt building; construction and automatic adjustment of an intelligent grid for indoor energy consumption of the yurt building; and visual display of indoor energy consumption of the yurt building. The advantages are as follows: constructing a three-dimensional simulation model of the yurt building and its surrounding environment to achieve the acquisition of high-precision and high-accuracy microenvironment parameters of the yurt building, and improving the accuracy of building energy consumption calculation; constructing an intelligent training database for indoor energy consumption of the yurt building to improve the reliability of the calculation results; constructing an intelligent calculation model for indoor energy consumption of the yurt building and using the clip neural network algorithm to improve the accuracy of indoor energy consumption calculation of the yurt building.

Description

Technical Field:

[0001] The present invention belongs to the technical field of building energy consumption, and particularly relates to an intelligent measurement method for indoor energy consumption of yurt buildings under zero-carbon conditions. Background Art:

[0002] Most areas in Inner Mongolia belong to severe cold regions. The climate characteristics are long and severe winters, short and warm summers, and large diurnal temperature differences. It is necessary to measure and adjust the energy consumption of yurt buildings. On the other hand, the emergence of digital technology and artificial intelligence provides a more scientific and efficient means of energy consumption measurement and adjustment. By constructing an intelligent measurement model for indoor energy consumption of yurt buildings, the indoor energy consumption can be intelligently calculated and adjusted, thereby effectively saving energy and reducing emissions.

[0003] Currently, the common methods for measuring building energy consumption are as follows. One is the simulation measurement and evaluation of the energy consumption of individual buildings based on building thermal performance. However, existing research rarely considers the impact of the microenvironment around the building on building energy consumption, and the results of simulation tests are inaccurate. Moreover, existing research often measures the energy consumption of single types of buildings such as urban residential or commercial buildings, and there is a blank in the intelligent measurement and adjustment of the energy consumption of yurt buildings, which are a special building form. The other is based on real-time monitoring of building energy consumption. This method is time-consuming and laborious, the difficulty of obtaining targeted data is large, the quality of the obtained data is uneven, and it is impossible to intuitively, dynamically, and effectively detect and control the building space partition. Summary of the Invention:

[0004] To solve the deficiencies mentioned in the above background art, the purpose of the present invention is to provide an intelligent measurement method for indoor energy consumption of yurt buildings under zero-carbon conditions. The present invention can intelligently measure the indoor energy consumption of yurt buildings and automatically adjust the energy consumption for high-energy consumption scenarios.

[0005] The present invention is implemented by the following technical solutions: An intelligent measurement method for indoor energy consumption of yurt buildings under zero-carbon conditions, the method comprising the following steps:

[0006] Step S1, constructing a database of the yurt building to be measured;

[0007] Obtain the meteorological data of the city where the yurt building to be measured is located from the meteorological department, obtain the indoor air design standard text data from the local planning department, obtain the design scheme data of the yurt building to be measured from the design unit of the yurt building to be measured, and obtain the historical hourly electricity consumption data and coal consumption data of the yurt building to be measured through the energy consumption monitoring system; upload and store the above data to the cloud SQL database management system;

[0008] Step S2, three-dimensional simulation modeling of the yurt building to be measured and obtaining microenvironment sample parameters;

[0009] Retrieve the design scheme data of step S1 and import it into the building modeling software to perform three-dimensional physical modeling on the measured yurt building to obtain a three-dimensional physical model. At the same time, use a rotor unmanned aerial vehicle equipped with 5 sets of lens tilt camera devices to automatically complete the modeling of the measured yurt building and the urban environment within a radius of 1 km at a flight altitude of 30 m, and embed it with the three-dimensional physical model to construct a three-dimensional simulation model of the measured yurt building and its surrounding environment. Bind an intelligent wind speed sensor made of aluminum alloy material with an accuracy of FS0.02% at the connection between the top and the rafters of the measured yurt building, and measure the wind speed and wind direction values at fixed points every 1 hour. Use an intelligent humidity and temperature sensor with a measurement accuracy of ±0.5 °C and a measurement range of -30 to 60 °C to measure the temperature and humidity values at three positions, namely, at the interval between the stove chimney and the top, at the gap between the bottom of the felt and the ground, and at a height of 1.5 m on the wall of the lattice, of the measured yurt building at fixed points every 1 hour. Measure for the first 8 days of January in the heating season, April in the transitional season, and July in the cooling season, for a total of 24 days, to obtain the microenvironment sample parameters of the measured yurt building.

[0010] Step S3: Construction of an intelligent training database for the indoor energy consumption of the measured yurt building

[0011] Import the microenvironment sample parameters of the measured yurt building obtained in step S2 as the physical environment impact features X1, including wind speed features, wind direction features, temperature features, and humidity features; calculate the morphological parameters of the yurt building as the morphological impact features X2, including the overall airtightness feature, the thickness feature of the enclosure structure, and the overall height-width ratio feature; import the electricity consumption and coal consumption of the case yurt building every 1 hour as the historical energy consumption information Y, and construct an intelligent training database for the indoor energy consumption of the yurt building in the cloud SQL database management system.

[0012] Step S4: Intelligent calculation of the indoor energy consumption of the yurt building

[0013] Import the physical environment impact features, morphological impact features, and historical energy consumption information of the intelligent training database for the indoor energy consumption of the yurt building in step S3, perform standardization processing on the data, and then reorganize the input data. Train through the convolutional neural network algorithm and use the mean absolute percentage error method to construct an intelligent calculation model for the indoor energy consumption of the yurt building. Finally, place the target building into the three-dimensional simulation model in step S2, and calculate the physical environment impact feature values according to the microenvironment sample parameters; input the feature values into the intelligent calculation model for the indoor energy consumption of the yurt building, and intelligently generate the hourly electricity energy consumption data and coal energy consumption data of the indoor of the yurt building, and upload them to the cloud Mongolian Zero-Carbon Building Data Middle Platform.

[0014] Step S5: Construction and automatic adjustment of the intelligent grid for the indoor energy consumption of the yurt building

[0015] Construct a 1m×1m×1m intelligent grid, use the intelligent grid to divide the target building and ensure that the intelligent grid completely covers the three-dimensional form of the target building. Label each intelligent grid and input it into the zero-carbon building data center; set the energy consumption threshold according to the indoor daylighting standard data and indoor space design text data of the building, and monitor the indoor energy consumption of the yurt building in real time and compare it with the threshold. If the monitored energy consumption value is greater than the energy consumption threshold, automatically adjust the intelligent grille through the zero-carbon building data center until the monitored energy consumption value is less than or equal to the energy consumption threshold;

[0016] Step S6, Visual display of the indoor energy consumption of the yurt building,

[0017] Link the cloud-based zero-carbon building data center of Mengdi to the visualization screen to display the three-dimensional simulation model of the yurt building, the intelligent grid, the occupancy situation of people, the physical environment situation, and the real-time monitoring situation of building energy consumption in real time.

[0018] Preferably, the meteorological data in step S1 refers to the outdoor meteorological data of the city where the yurt building is located, including geographical location longitude and latitude, date, surface temperature, total sky ground shortwave downward irradiance, total sky surface photosynthetically active radiation, and relative humidity at two meters. The data is stored in csv format; the standard text data refers to the indoor air design standard data, including the indoor design temperature for heating in the main rooms in severe and cold regions, the heating and air-conditioning design parameters for the areas where people stay for a long time, and the cooling and air-conditioning design parameters for the areas where people stay for a long time. The data is stored in txt format; the design scheme data refers to the plan and elevation drawings of the yurt building, including the bottom diameter of the yurt building, the height of the Hana wall, the number of Wuni poles, the diameter of the Wuni poles, the length of the Wuni poles, the diameter of the Taonao, the height of the door, the width of the door, the number of columns, the diameter of the columns, the height of the columns (the height of the bottom edge of the Taonao), and the total height of the yurt. The data is stored in dxf format.

[0019] Preferably, the process of embedding and realizing with the three-dimensional physical model in step S2 is as follows: include expanding the building outline outward by 3m to 5m as the boundary of the three-dimensional physical model, flattening the oblique photography data within the defined boundary, and superimposing the three-dimensional physical model on the three-dimensional simulation model.

[0020] Preferably, the morphological parameters affecting the indoor energy consumption of the yurt building calculated in step S3 include building airtightness, which is measured by the air change rate (ACH). The air change rate refers to the number of times the air inside the building is replaced within one hour. ACH = (Q / V)*60, where Q represents the rate of air inflow or outflow inside the building (unit: m 3 / h), and V represents the volume of the building (unit: m 3) Here, 60 is the coefficient for converting the result to per hour; the thickness of the enclosure structure, measured by d, specifically d = thickness of the wool felt * quantity + thickness of the air film, where the thickness of the air film is a variable value; the aspect ratio, measured by D / H, where D = number of Hana sheets * folded length / Π (in meters), and H = vertical height from the felt to the ground (in meters).

[0021] Preferably, in the step S4, the normalization process means taking the 90th percentile of the energy consumption value as the reference value, taking twice the reference value as the reasonable energy consumption range, identifying the data outside the range as outliers, deleting the outliers and then complementing them through linear interpolation, and standardizing the data using the Min - Max method; among them, the formula for standardizing the data by the Min - Max method is

[0022] Preferably, in the step S4, the intelligent measurement model of the indoor energy consumption of the yurt building means reorganizing the input data into a two - dimensional matrix, taking 80% of the data as the training set and 20% of the data as the test set, extracting and training the features through the Convolutional Neural Network (CNN) algorithm. When the mean absolute percentage error reaches the minimum value, an intelligent measurement model of the indoor energy consumption of the yurt building is constructed.

[0023] Preferably, in the step S4, the hourly electricity energy consumption data and coal energy consumption data are converted and aggregated with a standard coal as the unit to obtain the hourly indoor energy consumption value and the total building energy consumption value of the yurt building in 24 hours respectively.

[0024] Preferably, in the step S5, the automatic adjustment of the intelligent grille is through the monitoring of various energy consumption values by the zero - carbon building data platform. When the energy consumption value exceeds the upper threshold or is less than the lower threshold, an instruction is sent through the data platform to adjust the corresponding rod in the grid, and this rod is connected to the corresponding yurt building structure; when the coal energy consumption value is greater than the set upper threshold, an instruction can be sent through the data platform to inflate the air film structure in the middle layer of the felt, increasing the overall thickness of the felt, and monitoring whether there are obvious fluctuations in temperature, humidity, and light in the yurt building for the corresponding grid, and regulating the rods in the corresponding grid.

[0025] Preferably, the visualization large screen in step S6 includes an actual building three-dimensional model module, which is used to visually display the yurt building, the human-computer interaction visualization platform, and the in-room personnel situation; an intelligent perception device module, which is used to visually monitor intelligent perception devices and detect the operating status and functions of the devices; an energy consumption monitoring module, which is used to perform 24-hour fluctuation monitoring and statistics on the electricity consumption data, coal consumption data, ventilation data, and humidity data of each functional area inside the yurt building; an intelligent grille real-time monitoring and warning module, which is used to warn in a highlighted form when obvious temperature, humidity, and light fluctuations occur in a certain grille; a human-computer interaction module, which allows users to customize the monitoring and warning thresholds and the adjustment range of the automatic adjustment device as needed.

[0026] Advantages of the present invention: Compared with the prior art, the beneficial effects of the present invention are as follows.

[0027] By obtaining the yurt building design scheme data from the yurt building design unit and performing three-dimensional physical modeling, and using a rotor unmanned aerial vehicle equipped with 5 sets of lens tilt camera devices to automatically complete the modeling of the yurt building and the urban environment within a radius of 1 km at a flight altitude of 30 m and integrating it with the three-dimensional physical model, a three-dimensional simulation model of the yurt building and its surrounding environment is constructed. This model models the building itself and the microenvironment in view of the unique characteristics of the yurt building, such as being movable, detachable and assembled, having a special environment, and strong interactivity with the surrounding environment, greatly improving the credibility and practicality of the three-dimensional simulation model of the yurt building.

[0028] By installing intelligent wind speed sensors made of aluminum alloy with an accuracy of FS0.02% and intelligent humidity and temperature sensors with a measurement accuracy of ±0.5 °C and a measurement range of -30 to 60 °C at the joints of the yurt building's dome and rafters, at the intervals between the stovepipe and the dome, and at the gaps between the bottom of the surrounding felt and the ground, high-precision and highly accurate microenvironment parameters of the yurt building are obtained, greatly improving the accuracy of the energy consumption calculation of the yurt building.

[0029] By obtaining the microenvironment data X1 of the yurt building, analyzing the building's own form that affects energy consumption and quantifying the obtained data X2, the specific quantification includes building airtightness, measured by the air change rate (ACH), the thickness of the envelope structure, measured by d, and the height-width ratio, measured by D / H. The electricity consumption and coal consumption of the case yurt building every 1 hour are used as historical energy consumption data Y, and using the cloud SQL database management system, the X1, X2, and Y data are imported into it to construct an intelligent training database for indoor energy consumption of the yurt building. The database collects comprehensive data affecting the energy consumption calculation of the yurt building, greatly improving the reliability of the calculation results.

[0030] By reorganizing the input data into a two-dimensional matrix, a training set and a test set for intelligent measurement of energy consumption are constructed. The features are extracted and trained through the Convolutional Neural Network (CNN) algorithm to build an intelligent measurement model for indoor energy consumption of yurts. This model innovatively uses the clipped neural network algorithm, and through continuous extraction and training of features by the error elimination and convolutional neural network algorithms, the accuracy of indoor energy consumption measurement of yurts can be greatly improved. Brief Description of the Drawings:

[0031] Figure 1 is the flowchart of the present invention;

[0032] Figure 2 is the installation position map of the measured equipment for the microenvironment of yurt buildings;

[0033] Figure 3 is the intelligent grid display map for energy consumption regulation of yurt buildings;

[0034] Figure 4 is the large screen for visual display of indoor energy consumption of yurt buildings. Detailed Implementation Modes:

[0035] Example: As Figures 1 to 4 shown, an intelligent measurement method for indoor energy consumption of yurt buildings under zero-carbon conditions according to the present invention specifically includes the following steps:

[0036] Step S1, construction of the database of the measured yurt building,

[0037] Obtain the meteorological data of the city where the measured yurt building is located from the meteorological department, obtain the indoor air design standard text data from the local planning department, obtain the design scheme data of the measured yurt building from the design unit of the measured yurt building, and obtain the historical hourly electricity consumption data and coal consumption data of the measured yurt building through the energy consumption monitoring system; upload and store the above data to the cloud SQL database management system;

[0038] Among them, the meteorological data refers to the outdoor meteorological data of the city where the yurt building is located, including geographical location longitude and latitude, date, surface temperature, total sky ground shortwave downward irradiance, total sky surface photosynthetically active radiation, and relative humidity at two meters, and the data is stored in csv format; the standard text data refers to the indoor air design standard data, including the indoor design temperature for heating of the main rooms in cold and severe cold regions, the air conditioning design parameters for heating conditions in the areas where people stay for a long time, and the air conditioning design parameters for cooling conditions in the areas where people stay for a long time, and the data is stored in txt format; the design scheme data refers to the plan and elevation drawings of the yurt building, including the bottom diameter of the yurt building, the height of the khana wall, the number of uny poles, the diameter of the uny poles, the length of the uny poles, the diameter of the tono, the height of the door, the width of the door, the number of columns, the diameter of the columns, the height of the columns (height of the bottom edge of the tono), and the total height of the yurt, and the data is stored in dxf format;

[0039] Step S2: 3D simulation modeling of the measured yurt building and acquisition of microenvironment sample parameters

[0040] Retrieve the design scheme data from Step S1 and import it into the building modeling software to perform 3D physical modeling on the yurt building. At the same time, use a rotor UAV equipped with 5 sets of lens tilt camera devices to automatically complete the modeling of the measured yurt building and the urban environment within a 1 km radius at a flight altitude of 30 m, and embed it with the 3D physical model to construct a 3D simulation model of the measured yurt building and its surrounding environment. Use an intelligent wind speed sensor made of aluminum alloy material with an accuracy of FS0.02% and bind it to the connection between the top and rafters of the measured yurt building, and measure the wind speed and wind direction values at fixed points every 1 hour. Use an intelligent temperature and humidity sensor with a measurement accuracy of ±0.5°C and a measurement range of -30 to 60°C to measure the temperature and humidity values at 3 positions, namely, at the interval between the stove chimney and the top, at the gap between the bottom of the felt and the ground, and at a height of 1.5 m on the lattice wall of the measured yurt building at fixed points every 1 hour. Measure for the first 8 days of January in the heating season, April in the transition season, and July in the cooling season, for a total of 24 days, to obtain the microenvironment sample parameters of the measured yurt building;

[0041] Among them, the process of embedding with the 3D physical model includes delimiting the boundary of the 3D physical model as 3 m outward from the building outline, then flattening the oblique photography data within the delimited boundary, and overlaying the 3D physical model onto the 3D simulation model;

[0042] Step S3: Construction of an intelligent training database for indoor energy consumption of the measured yurt building

[0043] Import the microenvironment sample parameters of the yurt building obtained in Step S2 as the physical environment impact features X1, including wind speed features, wind direction features, temperature features, and humidity features; calculate the morphological parameters of the yurt building as the morphological impact features X2, including overall airtightness features, enclosure structure thickness features, and overall height-width ratio features; import the hourly electricity consumption and coal consumption of the case yurt building as historical energy consumption information Y, and construct an intelligent training database for indoor energy consumption of the yurt building in the cloud SQL database management system;

[0044] Among them, calculating the morphological parameters affecting the indoor energy consumption of the yurt building specifically includes:

[0045] Building airtightness, measured by the air change rate (ACH). The air change rate refers to the number of times the air inside the building is replaced within one hour. ACH = (Q / V)*60, where Q represents the rate of air inflow or outflow inside the building (unit: m 3 / h), and V represents the volume of the building (unit: m 3) 60 is the coefficient for converting the result to per hour. The thickness of the building envelope, measured by d, specifically d = the thickness of the wool felt * the quantity + the thickness of the air film, where the thickness of the air film is a variable value. The aspect ratio, measured by D / H, where D = the number of Hana sheets * the folded length / Π (in meters), and H = the vertical height from the felt to the ground (in meters);

[0046] Step S4, intelligent calculation of the indoor energy consumption of the yurt building

[0047] Import the physical environment impact characteristics, morphological impact characteristics, and historical energy consumption information of the intelligent training database for the indoor energy consumption of the yurt building in step S3, perform standardization processing on the data, and then reorganize the input data. Train through the Convolutional Neural Network (CNN) algorithm and use the Mean Absolute Percentage Error (MAPE) method to construct an intelligent calculation model for the indoor energy consumption of the yurt building. Finally, place the target building into the 3D simulation model in step S2, and calculate the physical environment impact characteristic values according to the microenvironment sample parameters; input the characteristic values into the intelligent calculation model for the indoor energy consumption of the yurt building, intelligently generate the hourly electricity energy consumption data and coal energy consumption data for the indoor of the yurt building, and upload them to the cloud-based Zero-Carbon Building Data Middle Platform of Mongolia;

[0048] Among them, performing standardization processing means using the 90th percentile of the energy consumption value as the reference value, using 2 times the reference value as the reasonable energy consumption interval, identifying the data outside the interval as outliers, deleting the outliers and then complementing them through linear interpolation, and standardizing the data using the Min - Max method. Among them, the formula for standardizing the data using the Min - Max method is

[0049] The realization process of the intelligent calculation model for the indoor energy consumption of the yurt building is as follows:

[0050] Reorganize the input data into the two-dimensional matrix table in Table 1, use 80% of the data as the training set and 20% of the data as the test set, extract and train the features through the convolutional neural network algorithm, and use the mean absolute percentage error as the model evaluation index to construct an intelligent calculation model for the indoor energy consumption of the yurt building, where y is the true value of the energy consumption, is the predicted value of the energy consumption;

[0051] Table 1 Two-dimensional matrix table

[0052]

[0053] The hourly electricity energy consumption data and coal energy consumption data are obtained by converting and summing the electricity energy consumption and coal data in units of one standard coal, respectively obtaining the hourly indoor energy consumption value and the total building energy consumption value of the yurt building in 24 hours;

[0054] Step S5: Intelligent grid construction and automatic adjustment of indoor energy consumption in yurt buildings

[0055] Construct a 1m×1m×1m intelligent grid, use the intelligent grid to divide the target building and ensure that the intelligent grid completely covers the three-dimensional form of the target building. Number each intelligent grid and input it into the zero-carbon building data center; set the energy consumption threshold according to the indoor lighting standard data and indoor space design text data of the building, monitor the indoor energy consumption of the yurt building in real time and compare it with the threshold. If the monitored energy consumption value is greater than the energy consumption threshold, automatically adjust the intelligent grid through the zero-carbon building data center until the monitored energy consumption value is less than or equal to the energy consumption threshold;

[0056] Among them, the automatic adjustment of the intelligent grid is through the monitoring of various energy consumption values by the zero-carbon building data center. When the energy consumption value exceeds the upper threshold or is less than the lower threshold, the data center sends an instruction to adjust the corresponding rod in the grid, and the rod is connected to the corresponding yurt building structure. When the coal consumption energy value is greater than the set upper threshold, an instruction can be sent through the data center to inflate the air film structure in the middle layer of the felt, increase the overall thickness of the felt, and monitor whether there are obvious temperature, humidity, and light fluctuations in the yurt building in the corresponding grid, and control the rods in the corresponding grid;

[0057] Step S6: Visual display of indoor energy consumption in yurt buildings

[0058] Link the cloud-based Mengdi zero-carbon building data center to the visualization large screen to display the three-dimensional simulation model of the yurt building, the intelligent grid, the occupancy situation of people, the physical environment situation, and the real-time monitoring situation of building energy consumption in real time;

[0059] Among them, the visualization large screen includes: an actual building three-dimensional model module, whose function is to visually display the yurt building, the human-computer interaction visualization platform, and the occupancy situation of people; an intelligent perception device module, whose function is to visually monitor the intelligent perception device and detect the operating status and functions of the device; an energy consumption monitoring module, whose function is to conduct 24-hour fluctuation monitoring and statistics on the electricity consumption energy data, coal consumption energy data, ventilation data, and humidity data of each functional area inside the yurt building; an intelligent grid real-time monitoring and early warning module, whose function is that when there are obvious temperature, humidity, and light fluctuations in a certain grid, the grid will give an early warning in a highlighted form; a human-computer interaction module, whose function is that users can customize the monitoring and early warning threshold and the adjustment range of the automatic adjustment device as needed.

Claims

1. An intelligent method for calculating indoor energy consumption of yurt buildings under zero-carbon conditions, characterized in that: The method comprises the following steps: Step S1, constructing a database of the yurt buildings under test; Obtain meteorological data of the city where the yurt building is located from the meteorological department, obtain indoor air design standard text data from the local planning department, obtain design plan data of the yurt building from the yurt building design unit, and obtain historical hourly electricity consumption data and coal consumption data of the yurt building through the energy consumption monitoring system; upload and store the above data to the cloud SQL database management system; Step S2, three-dimensional simulation modeling of the yurt building under test and acquisition of microenvironment sample parameters; The design data of step S1 is retrieved and entered into the building modeling software, and the yurt building under test is subjected to three-dimensional physical modeling to obtain a three-dimensional physical model; at the same time, a rotor drone equipped with 5 sets of lens tilt camera equipment is used to collect and automatically complete the modeling of the yurt building under test and the urban environment within a radius of 1km at a flight altitude of 30m, and the three-dimensional physical model is embedded to construct a three-dimensional simulation model of the yurt building under test and its surrounding environment; an intelligent wind speed sensor made of aluminum alloy and with an accuracy of FS0.02% is bound to At the connection between the Taonao and the Uni of the yurt building under test, the wind speed and wind direction values ​​were measured at fixed points every hour. Using an intelligent humidity and heat sensor with a measurement accuracy of ±0.5°C and a measurement range of -30 to 60°C, the temperature and humidity values ​​of three locations of the yurt building under test were measured at fixed points every hour, at the interval between the furnace and the Taonao, at the gap between the bottom of the felt and the ground, and at a height of 1.5m on the Khana wall. The measurements were taken in January of the heating season, April of the transition season, and the first 8 days of July of the cooling season, for a total of 24 days, to obtain the sample parameters of the microenvironment of the yurt building under test. Step S3: constructing an intelligent training database of the indoor energy consumption of the tested yurt building. Import the sample parameters of the yurt building microenvironment obtained in step S2 as the physical environment impact characteristics X1, including wind speed characteristics, wind direction characteristics, temperature characteristics and humidity characteristics; calculate the yurt building morphological parameters as the morphological impact characteristics X2, including the overall air tightness characteristics, the thickness characteristics of the enclosure structure and the overall aspect ratio characteristics; import the electricity consumption and coal consumption of the case yurt building every hour as the historical energy consumption information Y, and construct the yurt building indoor energy consumption intelligent training database in the cloud SQL database management system; Step S4: Intelligent calculation of indoor energy consumption of yurt buildings. Import the physical environment impact characteristics, morphological impact characteristics and historical energy consumption information of the yurt building indoor energy consumption intelligent training database in step S3, standardize the data, and then reorganize the input data, train the convolutional neural network algorithm and use the mean absolute percentage error method to build an intelligent calculation model for indoor energy consumption of yurt buildings, and finally place the target building in the three-dimensional simulation model in step S2, and calculate its physical environment impact characteristic value according to the microenvironment sample parameters; input the characteristic value into the intelligent calculation model for indoor energy consumption of yurt buildings, intelligently generate hourly electricity energy consumption data and coal energy consumption data for indoor yurt buildings, and upload them to the cloud-based Mengdi zero-carbon building data center; Step S5: Intelligent grid construction and automatic adjustment of indoor energy consumption of yurt buildings. Construct a 1m×1m×1m smart grid, use the smart grid to cut the target building and ensure that the smart grid completely covers the three-dimensional form of the target building, label each smart grid and enter it into the zero-carbon building data center; set the energy consumption threshold according to the building indoor lighting standard data and indoor space design text data, monitor the indoor energy consumption of the yurt building in real time and perform threshold comparison. If the monitored energy consumption value is greater than the energy consumption threshold, the smart grid is automatically adjusted through the zero-carbon building data center until the monitored energy consumption value is less than or equal to the energy consumption threshold; the automatic To adjust the smart grid, the zero-carbon building data platform monitors various energy consumption values. When the energy consumption value exceeds the upper threshold or is less than the lower threshold, the data platform sends instructions to adjust the corresponding rods in the grid, which are connected to the corresponding yurt building structure. When the coal energy consumption value is greater than the set upper threshold, the data platform sends instructions to inflate the air membrane structure in the middle layer of the felt to increase the overall thickness of the felt, and monitor whether there are obvious temperature, humidity, and light fluctuations in the grid in the yurt building, and adjust the rods in the corresponding grid. Step S6: Visual display of indoor energy consumption of yurt buildings. The cloud-based Mongolian zero-carbon building data center is linked to the visualization screen to display the three-dimensional simulation model and smart grid of the yurt building, the presence of people in the room, the physical environment and real-time monitoring of building energy consumption.

2. The intelligent calculation method for indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The meteorological data in step S1 refers to the outdoor meteorological data of the city where the yurt building is located, including the geographical location longitude and latitude, date, surface temperature, all-sky ground shortwave downward irradiance, all-sky surface photosynthetically active radiation, and relative humidity at two meters, and the data is stored in csv format; the standard text data refers to the indoor air design standard data, including the indoor design temperature for heating of main rooms in severe cold and cold areas, the air-conditioning design parameters for heating conditions in areas where personnel stay for a long time, and the air-conditioning design parameters for cooling conditions in areas where personnel stay for a long time, and the data is stored in txt format; the design plan data refers to the plan and elevation drawings of the yurt building, including the bottom diameter of the yurt building, the height of the Khana wall, the number of uni poles, the diameter of uni poles, the length of uni poles, the diameter of pottery brains, the door height, the door width, the number of columns, the diameter of columns, the height of columns, and the total height of the yurt, and the data is stored in dxf format.

3. The intelligent calculation method for indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The process of implementing the integration with the three-dimensional physical model in step S2 is as follows: it includes extending the outer contour of the building outward by 3m to 5m as the boundary of the three-dimensional physical model, flattening the oblique photography data within the defined boundary, and superimposing the three-dimensional physical model on the three-dimensional simulation model.

4. The intelligent calculation method for indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The calculation of the morphological parameters affecting the indoor energy consumption of the yurt building in step S3 includes the building air tightness, which is measured by the air change rate ACH. The air change rate refers to the number of times the air inside the building is replaced within one hour. ACH = (Q / V) * 60, where Q represents the rate of air flowing into or out of the building, and the unit is m 3 / h; V represents the volume of the building, in m 3 ; 60 is the coefficient for converting the result into hourly terms; the thickness of the enclosure structure is measured in d, specifically d = wool felt thickness * quantity + air film thickness, where the air film thickness is a variable value; the aspect ratio is measured in D / H, where D = number of Hana sheets * folded length / Π, in m; H = the vertical height from the felt to the ground, in m.

5. The intelligent calculation method for indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The standardization process in step S4 refers to taking the 90% quantile of the energy consumption value as the reference value, taking twice the reference value as the reasonable energy consumption interval, identifying the data outside the interval as abnormal values, deleting the abnormal values, supplementing them through linear interpolation, and using the Min-Max method to standardize the data; wherein the formula for standardizing the data by the Min-Max method is:

6. The method for intelligently calculating indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The intelligent calculation model for indoor energy consumption of yurt buildings in step S4 refers to reorganizing the input data into a two-dimensional matrix, using 80% of the data as a training set and 20% of the data as a test set, extracting and training features through a convolutional neural network (CNN) algorithm, and calculating the mean absolute percentage error. When the minimum value is reached, an intelligent calculation model for indoor energy consumption of yurt buildings is constructed.

7. The method for intelligently calculating indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The hourly electricity consumption data and coal consumption data in step S4 are converted and summed up based on one standard coal unit to obtain the hourly indoor energy consumption value and the total building energy consumption value of the yurt building for 24 hours.

8. The method for intelligently calculating indoor energy consumption of yurt buildings under zero-carbon conditions according to claim 1 is characterized in that: The visualization screen in step S6 includes: an actual building three-dimensional model module, whose function is to display the yurt building, the human-computer interaction visualization platform, and the situation of people in the room; an intelligent sensing device module, whose function is to visually monitor the intelligent sensing device and detect the operating status and operating function of the device; an energy consumption monitoring module, whose function is to monitor and count the electricity consumption data, coal consumption data, ventilation data, and humidity data of each functional partition inside the yurt building for 24 hours; The intelligent grid real-time monitoring and early warning module has the function of highlighting the grid and giving an early warning when there is a significant temperature, humidity or light fluctuation in a grid. The human-computer interaction module enables users to customize monitoring warning thresholds and automatic adjustment device adjustment ranges as needed.

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