Building energy consumption real-time optimization control method and system based on digital twinning

Abstract

The invention belongs to the technical field of building energy consumption control, and provides a building energy consumption real-time optimization control method and system based on digital twinning, and the method comprises the steps: carrying out the simulation monitoring of an enclosure region in a constructed indoor three-dimensional model, carrying out the real-time monitoring of the temperature in the enclosure region in each simulation monitoring period, and carrying out the real-time monitoring of the temperature in the enclosure region; according to the method, temperature difference change time periods are screened out, temperature difference change trend and temperature difference change duration stability analysis is carried out on each enclosure temperature difference change time period, and whether the temperature difference change time period, corresponding to an enclosure area, in each simulation monitoring period is stable or not is evaluated. The change trend of the indoor temperature can be monitored and predicted in real time, and the operation parameters of the air conditioning system can be adjusted in time, so that the indoor temperature is always kept in a comfortable range.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of building energy consumption control, and in particular relates to a building energy consumption real-time optimization control method and system based on digital twinning. BACKGROUND

[0002] With the acceleration of urbanization and the vigorous development of the construction industry, the proportion of building energy consumption in the total energy consumption of society is increasing. According to statistics, building energy consumption accounts for a considerable part of the total energy consumption in the world, and shows a rising trend. This not only puts great pressure on energy supply, but also causes serious environmental problems such as increased greenhouse gas emissions and aggravated air pollution. Therefore, how to effectively reduce building energy consumption and achieve green and sustainable development of buildings has become a key problem to be solved in the current building field.

[0003] The existing building energy consumption monitoring system can only simply monitor the indoor temperature in real time, lacks in-depth analysis of the temperature difference change of the enclosure area, and cannot accurately screen out the temperature difference change period, nor can it effectively evaluate the temperature difference change trend and time length stability. This leads to the inability to timely discover abnormal changes in the thermal performance of the enclosure structure, making it difficult to take targeted energy consumption control measures, thereby affecting the control effect of building energy consumption. Secondly, due to the uncertainty of the intensity and time distribution of solar radiation, the heat storage release delay time is a key parameter in the process of solar radiation heat storage release, which directly affects the change of indoor energy consumption and the formulation of energy consumption control strategy. However, the existing technical method cannot accurately obtain the heat storage release delay time, nor can it accurately control the energy consumption according to the actual situation of the enclosure area.

[0004] Therefore, the application provides a building energy consumption real-time optimization control method and system based on digital twinning. SUMMARY

[0005] In order to make up for the deficiencies of the prior art and solve at least one technical problem proposed in the background art.

[0006] The technical scheme adopted by the application to solve its technical problems is: In a first aspect, the building energy consumption real-time optimization control method based on digital twinning comprises: simulating and monitoring the enclosure area in the constructed indoor three-dimensional model, and in each simulation and monitoring period, monitoring the temperature in the enclosure area in real time and screening out the temperature difference change period; analyzing the temperature difference change trend and the temperature difference change time length stability of each enclosure temperature difference change period, and evaluating whether the temperature difference change period of the enclosure area in each simulation and monitoring period is stable; If the temperature difference change period is unstable, the temperature difference change period corresponding to the enclosure area in each simulation monitoring period is analyzed to determine whether the heat load type in the enclosure area is solar radiation heat release; If the heat load type in the enclosure area is solar radiation heat release, the heat release delay time is obtained, and the indoor energy consumption is controlled in real time.

[0007] As a further scheme of the present application, the temperature in the enclosure area is monitored in real time, and the process is as follows: The simulation monitoring period is equally divided into several simulation monitoring points, and the enclosure material temperature of the enclosure area at each simulation monitoring point in the simulation monitoring period is obtained. If the monitoring temperature difference value is positive or zero, the simulation monitoring point is marked as a temperature difference change starting point. All monitoring temperature difference values from the temperature difference change starting point to the last simulation monitoring point in the simulation monitoring period are extracted, and a temperature difference change curve is constructed. The inflection point on the temperature difference change curve is extracted, the local change curve from the starting point coordinate of the temperature difference change curve to the inflection point coordinate is taken as a growth analysis curve, and the local change curve from the inflection point coordinate of the temperature difference change curve to the terminal point coordinate of the temperature difference change curve is taken as a fitting analysis curve. The starting point coordinate and the inflection point coordinate of the growth analysis curve are connected by a straight line to obtain a fitting growth analysis line, and the slope of the fitting growth analysis line is obtained by using the slope calculation formula. If it is positive, the change trend of the fitting growth analysis line is overall growth type. The inflection point coordinate and the coordinate point corresponding to any simulation monitoring point on the fitting analysis curve are combined and intercepted multiple times to obtain a stable analysis local curve.

[0008] As a further scheme of the present application, the selection process of the temperature difference change period is as follows: The monitoring temperature difference value corresponding to each simulation monitoring point on the stable analysis local curve is extracted, and the standard deviation is calculated to output the temperature difference standard deviation value. If the temperature difference standard deviation value is less than or equal to the temperature difference standard deviation threshold value, the stable analysis local curve is marked as a temperature difference stable curve. The temperature difference standard deviation values corresponding to each temperature difference stable curve are compared in size, the temperature difference stable curve corresponding to the minimum temperature difference standard deviation value is selected, and the period between the starting point coordinate and the terminal point coordinate on the temperature difference stable curve is taken as the temperature difference change period.

[0009] As a further scheme of the present application, the enclosure temperature difference change period in each simulation monitoring period is extracted, and the temperature difference change trend is analyzed, and the process is as follows: The growth analysis curve and the temperature difference stable curve in each enclosure temperature difference change period are extracted, and any two simulation monitoring periods are combined to obtain a growth trend comparison group and a temperature difference stable comparison group. The growth trend ratio is compared in each group, and the absolute value of the difference between the slopes of the growth analysis curve and the stable temperature difference curve corresponding to the stable trend ratio in each group is obtained to obtain the growth trend ratio sub-value and the stable trend ratio sub-value; The standard deviation of the stable trend ratio sub-value corresponding to each group of temperature difference stable comparison groups is calculated to output the stable trend ratio value; The growth trend ratio value and the stable trend ratio value are summed to obtain the temperature difference trend analysis value.

[0010] As a further scheme of the present application, the change period of the enclosure temperature difference in each simulation monitoring period is extracted, and the stability of the change period of the temperature difference is analyzed, and the process is as follows: The length of each enclosure temperature difference change period is compared with the length of the simulation monitoring period to output the enclosure temperature difference duration ratio; The enclosure temperature difference duration ratio corresponding to any simulation monitoring period is input into the Euclidean distance formula to output the enclosure temperature difference length difference value.

[0011] As a further scheme of the present application, the change period of the enclosure temperature difference in each simulation monitoring period is evaluated, and the process is as follows: The temperature change stability value is obtained by summing the temperature difference trend analysis value and the enclosure temperature difference length difference value, and if the temperature change stability value is greater than the temperature change stability threshold value, the temperature difference change fluctuation signal is displayed.

[0012] As a further scheme of the present application, the change period of the enclosure temperature difference in each simulation monitoring period is analyzed, and the process is as follows: The time period corresponding to the growth analysis curve and the time period corresponding to the stable analysis local curve are extracted as the enclosure heat storage period and the enclosure heat release period, respectively; In the simulation monitoring period, the simulation solar peak radiation period and the solar valley radiation period are obtained, the starting time points of the solar peak radiation period and the solar valley radiation period and the starting time points of the enclosure heat storage period and the enclosure heat release period are extracted, respectively, and the starting time points are subtracted, respectively, to obtain the radiation storage start time difference value and the radiation release start time difference value, and the sum is obtained to obtain the start time difference value, and the standard deviation of the start time difference value corresponding to each simulation monitoring period is calculated to output the start time difference value; The end time points of the solar peak radiation period and the solar peak radiation period and the end time points of the enclosure heat storage period and the enclosure heat release period are extracted, respectively, and the end time points are subtracted, respectively, to obtain the radiation storage end time difference value and the radiation release end time difference value, and the sum is obtained to output the end time difference value, and the standard deviation of the end time difference value corresponding to each simulation monitoring period is calculated to output the end time difference value.

[0013] As a further scheme of the present application, whether the heat load type in the envelope area is solar radiation heat storage release is determined, and the process is as follows: The start time difference value and the end time difference value are summed, and a time period coincidence value is output, and if the time period coincidence value is less than or equal to a time period coincidence threshold value, a solar radiation heat storage release signal is displayed.

[0014] As a further scheme of the present application, a heat storage release delay time is obtained, and real-time optimization control is performed on indoor energy consumption, and the process is as follows: The length of the envelope heat release period in each simulation monitoring period is extracted as a unit heat release delay time, the longest unit heat release delay time and the shortest unit heat release delay time are selected, and a sum average is calculated, and a heat storage release delay time is output; The inflection point on the temperature difference change curve is taken as an energy consumption control starting point, and is summed with the heat storage release delay time to obtain a real-time energy consumption control period, the monitored temperature difference values in the envelope heat release period are extracted and summed to obtain unit period temperature difference averages, and a size comparison is performed, and the maximum unit period temperature difference average and the minimum unit period temperature difference average are taken as a temperature adjustment interval.

[0015] In a second aspect, a building energy consumption real-time optimization control system based on digital twinning includes the following modules: A period screening module: the envelope area in the constructed indoor three-dimensional model is simulated and monitored, the temperature in the envelope area is monitored in each simulation monitoring period, and a temperature difference change period is screened out; A stability evaluation module: the temperature difference change trend and the temperature difference change duration stability of each envelope temperature difference change period are analyzed, and whether the temperature difference change period of the envelope area in each simulation monitoring period is stable is evaluated; A storage and release analysis module: if the temperature difference change period is unstable, the temperature difference change period of the envelope area in each simulation monitoring period is analyzed, and whether the heat load type in the envelope area is solar radiation heat storage release is determined; A real-time optimization control module: if the heat load type in the envelope area is solar radiation heat storage release, a heat storage release delay time is obtained, and real-time optimization control is performed on indoor energy consumption.

[0016] The present application has the following advantages: 1.The present application simulates and monitors the enclosure area in the constructed indoor three-dimensional model, monitors the temperature in the enclosure area in real time in each simulation and monitoring period, screens out the temperature difference change period, analyzes the temperature difference change trend and the temperature difference change duration stability of each enclosure temperature difference change period, and evaluates whether the temperature difference change period of the enclosure area corresponding to each simulation and monitoring period is stable, the purpose of which is to accurately predict the energy demand of the building in different time periods in the stable temperature difference change period, to allocate energy to key equipment first, and because the change of heat transfer of the enclosure structure easily leads to indoor temperature fluctuation, the digital twin system can monitor and predict the change trend of indoor temperature in real time by obtaining the temperature difference change period information, and timely adjust the operation parameters of the air conditioning system, so that the indoor temperature is always kept in a comfortable range; 2.If the temperature difference change period of the enclosure area corresponding to each simulation and monitoring period is not stable, the temperature difference change period of the enclosure area corresponding to each simulation and monitoring period is analyzed to determine whether the heat load type in the enclosure area is solar radiation heat storage release, if the heat load type in the enclosure area is solar radiation heat storage release, the heat storage release delay time is obtained, and the indoor energy consumption is controlled in real time, so that according to the monitored temperature difference value and the temperature adjustment interval in the current enclosure heat release period, the equipment can be prevented from overrunning or running insufficiently, the operation efficiency of the equipment is improved, and energy waste is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0017] The present application will be further described below in conjunction with the drawings.

[0018] Figure 1 is the step flow chart of the building energy consumption real-time optimization control method based on digital twin of the present application; Figure 2 is the determination flow chart in the building energy consumption real-time optimization control based on digital twin of the present application; Figure 3 is the schematic diagram of the building energy consumption real-time optimization control system based on digital twin of the present application. DETAILED DESCRIPTION

[0019] In order to make the technical means, creative features, purposes and effects realized by the present application easy to understand, the present application will be further described below in conjunction with specific embodiments.

[0020] Example 1 In summer, when solar radiation (or outdoor high temperature) acts on the envelope (such as double glazing, concrete column), these materials will not immediately pass the heat to the indoor like a funnel, but will hold the heat like a water storage pool, for example, at noon from 12:00 to 14:00 in summer, when the sun directly shines on the south-facing double glazing: the temperature of the outer side (outdoor) of the glass may be as high as 35℃ or above, and the inner side (indoor) is maintained at 26℃ by air conditioning, at this time the heat of the sun will be absorbed by the outer layer of the glass, the middle air layer and the inner layer of the glass - the temperature of the glass will gradually rise from 26℃ to 30℃ or even higher, but during this process, only a small amount of heat is immediately transmitted to the indoor, and most of the heat is stored in the material itself of the glass, when there is a temperature difference (the difference between the temperature of the envelope material itself and the temperature of the environment on the other side it contacts, such as the temperature difference between the glass and the indoor air on the inside, or the temperature difference between the glass and the outdoor air on the outside; the temperature difference between the concrete column and the indoor air), therefore, the building energy consumption real-time optimization control method based on digital twinning according to the embodiment of the application, please refer to Figure 1 Figure 2 The method comprises the following steps: Step one: according to the indoor building three-dimensional graph, simulate and construct the indoor three-dimensional model by using digital twinning technology, extract the envelope area in the indoor three-dimensional model, set multiple simulation monitoring periods, and monitor the temperature in the envelope area in each simulation monitoring period to screen out the temperature difference change period; In some embodiments, the process of simulating and constructing the indoor three-dimensional model and extracting the envelope area is as follows: Input the parameters in the indoor building three-dimensional graph into the digital twinning technology, convert the three-dimensional graph into the indoor three-dimensional model, and extract the envelope area in the indoor three-dimensional model; It should be noted that the envelope area includes the envelope material itself, the envelope outdoor area and the envelope indoor area, wherein the envelope indoor area includes the indoor window area (double glazing) and the column area (concrete column); The screening method of the temperature difference change period is as follows: For example, the simulation monitoring period is equally divided into a plurality of simulation monitoring points, wherein the time length between adjacent simulation monitoring points is equal; The temperature of the envelope material (glass or concrete column surface temperature) at each simulation monitoring point in the simulation monitoring period and the envelope indoor temperature are obtained respectively, and the difference is obtained to obtain the monitoring temperature difference value; If the monitoring temperature difference value is negative, it means that the temperature of the envelope material does not have the condition of heat release to the indoor at the analyzed simulation monitoring point; ​If the monitored temperature difference value is positive or zero, it indicates that the envelope material temperature has the condition of releasing heat to the room at the analyzed simulation monitoring point in time, and the simulation monitoring point is marked as the temperature difference change starting point; Extract all the monitored temperature difference values from the temperature difference change starting point to the last simulation monitoring point in the simulation monitoring period, and input them into a two-dimensional coordinate system, with the X-axis as time and the Y-axis as temperature difference value, to construct a temperature difference change curve; Extract the inflection point on the temperature difference change curve, and take the local change curve from the starting point coordinate of the temperature difference change curve to the inflection point coordinate as the growth analysis curve; Take the local change curve from the inflection point coordinate of the temperature difference change curve to the end point coordinate of the temperature difference change curve as the fitting analysis curve; Connect the starting point coordinate and the end point coordinate (inflection point coordinate) of the growth analysis curve with a straight line to obtain the fitting growth analysis line; Obtain the slope of the fitting growth analysis line using the slope calculation formula. If the slope is positive, it indicates that the change trend of the fitting growth analysis line from the starting point coordinate on the temperature difference change curve to the inflection point on the temperature difference change curve is overall increasing. If the slope is negative, it indicates that the change trend of the fitting growth analysis line from the starting point coordinate on the temperature difference change curve to the inflection point on the temperature difference change curve is overall decreasing; If the change trend of the fitting growth analysis line is overall increasing, combine and intercept the inflection point coordinate with the coordinates of any simulation monitoring point on the fitting analysis curve multiple times to obtain a stable analysis local curve; It should be noted that the rule for multiple combination and interception is: in addition to the inflection point coordinate, the coordinates of each simulation monitoring point on the fitting analysis curve are iteratively combined with the inflection point coordinate in time sequence, and the corresponding temperature difference standard deviation value is obtained until the temperature difference standard deviation value is greater than the temperature difference standard deviation threshold, then the combination and interception is stopped; Extract the monitored temperature difference value corresponding to each simulation monitoring point on the stable analysis local curve and calculate the standard deviation to obtain the temperature difference standard deviation value; If the temperature difference standard deviation value is greater than the temperature difference standard deviation threshold, it indicates that the monitored temperature difference value corresponding to each simulation monitoring point on the stable analysis local curve changes relatively unstably; If the temperature difference standard deviation value is less than or equal to the temperature difference standard deviation threshold, it indicates that the monitored temperature difference value corresponding to each simulation monitoring point on the stable analysis local curve changes relatively stably, and the stable analysis local curve is marked as the temperature difference stable curve; Compare the temperature difference standard deviation values corresponding to each temperature difference stable curve, select the temperature difference stable curve corresponding to the minimum temperature difference standard deviation value, and take the time period between the starting point coordinate and the end point coordinate on the temperature difference stable curve as the temperature difference change period; It should be noted that the purpose of screening the temperature difference change period is: from the perspective of equipment energy consumption operation, since the rate of heat transfer from the building envelope to the indoor will change during the temperature difference change period, by obtaining the temperature difference change period information, the digital twin system can reduce the running time or reduce the ventilation volume of the ventilation system during the period with large temperature difference, to avoid unnecessary heat introduction; Secondly, from the energy management dimension, after obtaining the temperature difference change period information, the digital twin system can predict the energy demand of the building in the future period of time according to the characteristics of heat transfer of the building envelope in different periods, and through the analysis of the heat transfer of the building envelope in different periods, the energy can be reasonably distributed; Finally, from the perspective of indoor comfort design, the change of heat transfer of the building envelope during the temperature difference change period is easy to cause indoor temperature fluctuation, and the digital twin system can monitor and predict the change trend of indoor temperature in real time by obtaining the temperature difference change period information, and timely adjust the operation parameters of the air conditioning system, so that the indoor temperature can always be kept in a comfortable range; Step two: analyze the temperature difference change trend and the temperature difference change duration stability of each building temperature difference change period respectively, obtain the temperature change stability value, and evaluate whether the temperature difference change period of the building area in each simulation monitoring period is stable according to the temperature change stability value; In some embodiments, the building temperature difference change period in each simulation monitoring period is extracted, and the temperature difference change trend analysis is performed, and the process is as follows: Extract the growth analysis curve and the temperature difference stability curve in each building temperature difference change period, respectively combine the growth analysis curve and the temperature difference stability curve in any two simulation monitoring periods to obtain a growth trend comparison group and a temperature difference stability comparison group; In the growth trend comparison group, the slopes corresponding to the growth analysis curves in the simulation monitoring periods are subtracted respectively, and the absolute values are taken to obtain growth trend comparison sub-values; The standard deviation of the growth trend comparison sub-values corresponding to each group of growth trend comparison groups is calculated, and the growth trend comparison value is output; Similarly, in the temperature difference stability comparison group, the slopes corresponding to the temperature difference stability curves in the simulation monitoring periods are subtracted respectively, and the absolute values are taken to obtain stability trend comparison sub-values; The standard deviation of the stability trend comparison sub-values corresponding to each group of temperature difference stability comparison groups is calculated, and the stability trend comparison value is output; The growth trend comparison value and the stability trend comparison value are summed to obtain the temperature difference trend analysis value; Extract the building temperature difference change period in each simulation monitoring period, and perform temperature difference change duration stability analysis, and the process is as follows: The length of each enclosure temperature difference change period is divided by the length of the simulation monitoring period to obtain an enclosure temperature difference duration ratio; The enclosure temperature difference duration ratio corresponding to each simulation monitoring period is input into the Euclidean distance formula to obtain an enclosure temperature difference length difference value; The temperature change trend analysis value and the enclosure temperature difference length difference value are summed to obtain a temperature change stability value; It can be understood that the meaning represented by the temperature change stability value is that the temperature change trend of the enclosure temperature difference change period and the stability of the temperature change length in each simulation monitoring period are calculated and analyzed. Specifically, on the one hand, the temperature change trend analysis value reflects the similarity degree of the temperature change trend of the enclosure structure in different simulation monitoring periods, and on the other hand, the enclosure temperature difference length difference value reflects the stability of the length of the enclosure temperature difference change period in different simulation monitoring periods; If the temperature change stability value is greater than the temperature change stability threshold value, it indicates that the length of the enclosure temperature difference change period in the plurality of simulation monitoring periods is relatively unstable, and the temperature change trend consistency degree is low, which is displayed as a temperature change fluctuation signal; If the temperature change stability value is less than or equal to the temperature change stability threshold value, it indicates that the length of the enclosure temperature difference change period in the plurality of simulation monitoring periods is relatively stable, and the temperature change trend consistency degree is high, which is displayed as a temperature change stability signal; The purpose of evaluating whether the temperature change period is stable is mainly to more accurately grasp the law of heat transfer of the enclosure structure, so as to provide a reliable basis for real-time optimization control of building energy consumption. Since the change of heat transfer of the enclosure structure will directly affect the indoor environment temperature and then affect the operation of building equipment and energy consumption, only by accurately evaluating the stability of the temperature change period, a reasonable control strategy can be developed according to different situations to optimize building energy consumption; From the perspective of device operation optimization energy consumption, in the stable increasing type temperature change period, the refrigeration output of the air conditioning system is adjusted in advance to keep the indoor temperature in the comfortable range, avoiding frequent start and stop of the air conditioning equipment due to large temperature fluctuation, reducing the wear and tear and energy consumption of the equipment. If the temperature change period is unstable, the system can dynamically adjust the response strategy of the air conditioning system according to the size of the temperature change stability value, and strengthen monitoring and control in the period of large change and appropriately reduce the control frequency in the period of small change, thereby improving the operation efficiency of the air conditioning system; From the perspective of energy management optimization energy consumption, in the stable temperature difference change period, the system can accurately predict the energy demand of the building at different time periods, and preferentially allocate energy to key equipment such as air conditioning systems that require more energy during high temperature periods to maintain indoor temperature. For unstable periods, the system can dynamically adjust the energy allocation ratio according to the size of the temperature change stability value, and through analysis of historical stable period data, the digital twin system can establish a more accurate energy consumption prediction model to predict the energy demand of the building in the future period. For unstable periods, the system can combine the temperature change stability value to conduct risk assessment and develop corresponding emergency plans to ensure the stability of energy supply. The specific scheme of the embodiment is: simulating and monitoring the envelope region in the constructed indoor three-dimensional model, monitoring the temperature in the envelope region in real time in each simulation and monitoring period, screening out the temperature difference change period, and analyzing the temperature difference change trend and the temperature difference change duration stability of each envelope temperature difference change period. Whether the temperature difference change period of the envelope region is stable in each simulation and monitoring period is evaluated. The purpose is that in the stable temperature difference change period, the system can accurately predict the energy demand of the building at different time periods, and preferentially allocate energy to key equipment. Moreover, since the change of heat transfer of the envelope structure easily leads to indoor temperature fluctuation, the digital twin system can monitor and predict the change trend of indoor temperature in real time by obtaining the temperature difference change period information, and timely adjust the operation parameters of the air conditioning system, so that the indoor temperature is always maintained within a comfortable range.

[0021] Embodiment 2 Please refer to Figure 1 - Figure 2 As shown in the figure, the building energy consumption real-time optimization control method based on digital twin of the embodiment of the application comprises the following steps: Step three: if the temperature difference change period of the envelope region corresponding to each simulation and monitoring period is unstable, analyze the temperature difference change period of the envelope region corresponding to each simulation and monitoring period, and determine whether the heat load type in the envelope region is solar radiation heat accumulation release; In some embodiments, the time period corresponding to the growth analysis curve and the time period corresponding to the stable analysis local curve are extracted as the envelope heat storage period and the envelope heat release period, respectively. In the simulation and monitoring period, the simulation solar peak radiation period and the solar valley radiation period are extracted. It should be noted that the solar peak radiation period refers to: in the past summer, after the outdoor solar radiation temperature reaches the peak, the heat absorption rate of the enclosure material in the enclosure area is stable, and the time period is continuous, such as: 12-14 o'clock in the summer; the solar valley radiation period refers to: in the past summer, the outdoor solar radiation intensity decreases, the heat absorption rate of the enclosure material in the enclosure area decreases, and the heat is stably released to the indoor; such as: 14-18 o'clock in the summer; The starting time point of the solar peak radiation period and the starting time point of the enclosure heat storage period are extracted respectively, and the difference is taken, and the absolute value is taken to obtain the radiation storage start time difference value; The starting time point of the solar valley radiation period and the starting time point of the enclosure heat release period are extracted respectively, and the difference is taken, and the absolute value is taken to obtain the radiation release start time difference value; The radiation storage start time difference value and the radiation release start time difference value are summed to obtain the start time difference value, and the standard deviation of the start time difference value corresponding to each simulation monitoring period is calculated to output the start time difference value. Similarly, the termination time point of the solar peak radiation period and the termination time point of the enclosure heat storage period are extracted respectively, and the difference is taken, and the absolute value is taken to obtain the radiation storage end time difference value; The termination time point of the solar valley radiation period and the termination time point of the enclosure heat release period are extracted respectively, and the difference is taken, and the absolute value is taken to obtain the radiation release end time difference value; The radiation storage end time difference value and the radiation release end time difference value are summed to output the end time difference value, and the standard deviation of the end time difference value corresponding to each simulation monitoring period is calculated to output the end time difference value. The start time difference value and the end time difference value are summed to output the time period coincidence value. It can be understood that the meaning represented by the time period coincidence value is: to measure the degree of coincidence in time of the heat storage and heat release period of the enclosure area in different simulation monitoring periods with the solar peak radiation period and the solar valley radiation period. Specifically, solar radiation heat storage and release is an important dynamic factor in building energy consumption, and through the time period coincidence value, it can be distinguished from other types of heat load (such as heat generated by personnel activities, heat generated by equipment operation, etc.); From the space-time dimension, by monitoring the coincidence of the heat storage and heat release period of the enclosure area with the solar radiation period in real time, the heat load change of the enclosure area in the future period of time is predicted, the energy supply strategy of the building is adjusted in advance, the real-time optimization control of energy consumption is realized, and the heat storage and heat release period of the enclosure structure material, orientation and solar radiation of different areas may be different, resulting in differences in the heat storage and heat release period. Through the calculation of the time period coincidence value of each area, the digital twin system can realize the differentiated energy consumption control of different areas in the building, and can automatically and dynamically adjust the air conditioning energy consumption and the energy consumption of the lighting equipment in the room; If the period coincidence value is greater than the period coincidence threshold value, it indicates that the heat storage and release periods of the enclosure region and the solar peak radiation period and the solar valley radiation period are low in time coincidence degree, which is displayed as a non-solar radiation heat storage and release signal; If the period coincidence value is less than or equal to the period coincidence threshold value, it indicates that the heat storage and release periods of the enclosure region and the solar peak radiation period and the solar valley radiation period are high in time coincidence degree, which is displayed as a solar radiation heat storage and release signal; Step four: If the heat load type in the enclosure region is solar radiation heat storage and release, the heat storage and release delay time is obtained, and real-time optimization control is performed on indoor energy consumption. In some embodiments, the length of the enclosure heat release period in each simulation monitoring period is extracted as the unit heat release delay time. The unit heat release delay times in each simulation monitoring period are compared in size, the longest unit heat release delay time and the shortest unit heat release delay time are selected, and the sum average is calculated, and the heat storage and release delay time is output. The inflection point on the temperature difference change curve is taken as the energy consumption control starting point, and is summed with the heat storage and release delay time to obtain the real-time energy consumption control period. The monitoring temperature difference value in the enclosure heat release period is extracted and summed to obtain the unit period temperature difference average. In each simulation monitoring period, the unit period temperature difference average corresponding to the enclosure heat release period is extracted and compared in size, and the maximum unit period temperature difference average and the minimum unit period temperature difference average are taken as the temperature adjustment interval. The purpose of obtaining the temperature adjustment interval is that the digital twin system can obtain the monitoring temperature difference value in the enclosure heat release period in real time according to the temperature adjustment interval and compare it with the interval, which can avoid excessive operation or insufficient operation of the equipment, improve the operation efficiency of the equipment, and reduce energy waste. When it is monitored that the monitoring temperature difference value in the enclosure heat release period gradually approaches the boundary of the temperature adjustment interval, the system can adjust the operation state of the air conditioner and other equipment in advance to avoid frequent start and stop of the equipment due to temperature exceeding the comfortable range. The specific scheme of this embodiment is that if the temperature difference change period of the enclosure region corresponding to each simulation monitoring period is unstable, the temperature difference change period of the enclosure region corresponding to each simulation monitoring period is analyzed to determine whether the heat load type in the enclosure region is solar radiation heat storage and release. If the heat load type in the enclosure region is solar radiation heat storage and release, the heat storage and release delay time is obtained, and real-time optimization control is performed on indoor energy consumption, so that according to the monitoring temperature difference value in the current enclosure heat release period and the temperature adjustment interval, the equipment can be prevented from being excessively operated or insufficiently operated, the operation efficiency of the equipment can be improved, and energy waste can be reduced.

[0022] Embodiment 3 Please refer to Figure 3As shown, the building energy consumption real-time optimization control system based on digital twinning provided by the embodiment of the present application comprises the following modules: The period screening module: the envelope region in the constructed indoor three-dimensional model is simulated and monitored, the temperature in the envelope region is monitored in real time in each simulation and monitoring period, and the temperature difference change period is screened out; The stability evaluation module: the temperature difference change trend and the temperature difference change duration stability of each envelope temperature difference change period are analyzed, and whether the temperature difference change period of the envelope region in each simulation and monitoring period is stable is evaluated; The storage and release analysis module: if the temperature difference change period is unstable, the temperature difference change period of the envelope region in each simulation and monitoring period is analyzed, and whether the heat load type in the envelope region is solar radiation heat storage and release is determined; The real-time optimization control module: if the heat load type in the envelope region is solar radiation heat storage and release, the heat storage and release delay time is obtained, and the indoor energy consumption is controlled in real time.

[0023] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above embodiments, and the above embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for real-time optimization control of building energy consumption based on digital twinning, characterized in that: The method comprises the following steps: Simulate monitoring of the envelope region in the constructed indoor three-dimensional model, real-time monitoring of the temperature in the envelope region in each simulation monitoring period, screening of the temperature difference change period; Stable analysis of the temperature difference change trend and the temperature difference change duration of each envelope temperature difference change period, evaluation of whether the temperature difference change period of the envelope region in each simulation monitoring period is stable; If the temperature difference change period is not stable, analyze the temperature difference change period of the envelope region in each simulation monitoring period to determine whether the heat load type in the envelope region is solar radiation heat storage release; If the heat load type in the envelope region is solar radiation heat storage release, obtain the heat storage release delay time and real-time optimization control of the indoor energy consumption.

2. The building energy consumption real-time optimization control method based on digital twinning according to claim 1, characterized in that: The process of real-time monitoring of the temperature in the envelope region is as follows: Divide the simulation monitoring period into several simulation monitoring points, obtain the envelope material temperature of the envelope region at each simulation monitoring point in the simulation monitoring period, if the monitoring temperature difference value is positive or zero, mark the simulation monitoring point as the temperature difference change starting point, extract all monitoring temperature difference values from the temperature difference change starting point to the last simulation monitoring point in the simulation monitoring period, and construct a temperature difference change curve; Extract the inflection point on the temperature difference change curve, take the local change curve from the starting point coordinate of the temperature difference change curve to the inflection point coordinate as the growth analysis curve, and take the local change curve from the inflection point coordinate of the temperature difference change curve to the terminal point coordinate of the temperature difference change curve as the fitting analysis curve; Connect the starting point coordinate and the inflection point coordinate of the growth analysis curve with a straight line to obtain a fitting growth analysis line, obtain the slope of the fitting growth analysis line by using the slope calculation formula, if the slope is positive, the change trend of the fitting growth analysis line is overall increasing, and the inflection point coordinate and the coordinate point of any simulation monitoring point on the fitting analysis curve are combined and intercepted multiple times to obtain a stable analysis local curve.

3. The building energy consumption real-time optimization control method based on digital twinning according to claim 2, characterized in that: The screening process of the temperature difference change period is as follows: Extract the monitoring temperature difference value corresponding to each simulation monitoring point on the stable analysis local curve, calculate the standard deviation, output the temperature difference standard deviation value, if the temperature difference standard deviation value is less than or equal to the temperature difference standard deviation threshold value, mark the stable analysis local curve as a temperature difference stable curve; Compare the temperature difference standard deviation values corresponding to each temperature difference stable curve, select the temperature difference stable curve corresponding to the minimum temperature difference standard deviation value, and take the period between the starting point coordinate and the terminal point coordinate on the temperature difference stable curve as the temperature difference change period.

4. The building energy consumption real-time optimization control method based on digital twinning according to claim 1, characterized in that: Extract the envelope temperature difference change period in each simulation monitoring period, and analyze the temperature difference change trend as follows: Extract the growth analysis curve and the temperature difference stable curve in each envelope temperature difference change period, combine the growth analysis curves and the temperature difference stable curves in any two simulation monitoring periods to obtain a growth trend comparison group and a temperature difference stable comparison group; Take the absolute value of the difference between the slopes of the growth analysis curves and the temperature difference stable curves in the growth trend comparison group and the temperature difference stable comparison group respectively to obtain a growth trend comparison subvalue and a stable trend comparison subvalue; The stable trend comparison value is obtained by calculating the standard deviation of the stable trend comparison sub-value corresponding to each group of temperature difference stable comparison group. The growth trend comparison value and the stable trend comparison value are summed to obtain a temperature difference trend analysis value.

5. The building energy consumption real-time optimization control method based on digital twinning according to claim 1, characterized in that: The temperature difference change period in each simulation monitoring period is extracted for temperature difference change duration stability analysis, and the process is as follows: The duration of each temperature difference change period of the enclosure is calculated by ratio with the duration of the simulation monitoring period, and the enclosure temperature difference duration ratio is output. The enclosure temperature difference duration ratio corresponding to any simulation monitoring period is input into the Euclidean distance formula, and the enclosure temperature difference duration difference value is output.

6. The building energy consumption real-time optimization control method based on digital twinning according to claim 1, characterized in that: The process of evaluating whether the temperature difference change period of the enclosure in each simulation monitoring period is stable is as follows: The temperature difference trend analysis value and the enclosure temperature difference duration difference value are summed to obtain a temperature change stability value, and if the temperature change stability value is greater than the temperature change stability threshold, a temperature difference change fluctuation signal is displayed.

7. The building energy consumption real-time optimization control method based on digital twinning according to claim 1, characterized in that: The process of analyzing the temperature difference change period of the enclosure in each simulation monitoring period is as follows: The time period corresponding to the growth analysis curve and the time period corresponding to the stable analysis local curve are extracted as the enclosure heat storage period and the enclosure heat release period, respectively. In the simulation monitoring period, the simulation solar peak radiation period and the solar valley radiation period are obtained, the starting time points of the solar peak radiation period and the solar valley radiation period are extracted, and the starting time points of the enclosure heat storage period and the enclosure heat release period are extracted, respectively. The starting time points are subtracted, the absolute values are taken, the radiation storage starting time difference value and the radiation release starting time difference value are obtained, and the sum is obtained to obtain the starting time difference value. The starting time difference value corresponding to each simulation monitoring period is calculated by standard deviation, and the starting time difference value is output. The ending time points of the solar peak radiation period and the solar peak radiation period are extracted, and the ending time points of the enclosure heat storage period and the enclosure heat release period are extracted. The ending time points are subtracted, the absolute values are taken, the radiation storage ending time difference value and the radiation release ending time difference value are obtained, and the sum is output to obtain the ending time difference value. The ending time difference value corresponding to each simulation monitoring period is calculated by standard deviation, and the ending time difference value is output. 8.The digital-twin-based real-time building energy consumption optimization control method of claim 1, wherein: The process of determining whether the heat load type in the enclosure region is solar radiation heat storage and release is as follows: The starting time difference value and the ending time difference value are summed to obtain a time period coincidence value, and if the time period coincidence value is less than or equal to the time period coincidence threshold, a solar radiation storage and release signal is displayed. 9.The digital-twin-based real-time building energy consumption optimization control method of claim 1, wherein: The process of obtaining the heat storage release delay time and performing real-time optimization control on indoor energy consumption is as follows: The duration of the enclosure heat release period in each simulation monitoring period is extracted as the unit heat release delay time, the longest unit heat release delay time and the shortest unit heat release delay time are selected, and the sum is calculated by average to obtain the heat storage release delay time. The inflection point on the temperature difference curve is taken as the energy consumption control starting point, and is summed with the heat storage release delay time to obtain a real-time energy consumption control period. The monitored temperature difference value in the enclosure heat release period is extracted and summed to obtain a unit period temperature difference average, and the maximum unit period temperature difference average and the minimum unit period temperature difference average are compared. The temperature adjustment interval is taken as the maximum unit period temperature difference average and the minimum unit period temperature difference average.

10. A building energy consumption real-time optimization control system based on digital twinning, characterized in that: The process includes the following steps: The period screening module: simulates and monitors the envelope region in the constructed indoor three-dimensional model, monitors the temperature in the envelope region in real time in each simulation monitoring period, and screens out the temperature difference change period; The stability evaluation module: analyzes the temperature difference change trend and the temperature difference change duration stability of each envelope temperature difference change period, and evaluates whether the temperature difference change period of the envelope region in each simulation monitoring period is stable; The storage and release analysis module: if the temperature difference change period is unstable, the temperature difference change period of the envelope region in each simulation monitoring period is analyzed to determine whether the heat load type in the envelope region is solar radiation heat storage and release; The real-time optimization control module: if the heat load type in the envelope region is solar radiation heat storage and release, the heat storage and release delay time is obtained, and the indoor energy consumption is optimized and controlled in real time.

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