Method, device and electronic equipment for determining thermal characteristics of buildings

Abstract

The present invention provides a method, device, and electronic device for determining building thermal characteristics, including: filtering historical operating data of air conditioners within a building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset screening conditions to obtain data samples; grouping the data samples according to the meteorological parameters in the data samples to obtain multiple data sample groups; and identifying building thermal characteristics of the data samples in each data sample group according to a thermal balance equation to obtain space ventilation characteristic parameters and building envelope heat transfer coefficients within the building thermal characteristics corresponding to each data sample group of the building space to be evaluated. The method of the present invention automatically identifies the building thermal characteristics of the building space to be evaluated using the filtered historical operating data of the air conditioners and meteorological data, eliminating the need for additional sensing equipment, reducing manpower and resource costs, and ensuring that the identification process does not affect the normal operation of the building space to be evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of building thermal characteristics, and in particular to a method, device and electronic equipment for determining building thermal characteristics. Background Art

[0002] At present, in the traditional scheme for determining the thermal characteristics of buildings, the amplitude-frequency response characteristics and phase-frequency response characteristics of the envelope structure to temperature waves are generally used as the thermal performance indicators of the building envelope structure. The thermal characteristics of the building are evaluated by comparing the natural frequency response characteristics of the building envelope structure to temperature waves with the frequency characteristics of the standard building envelope structure through on-site testing.

[0003] The above-mentioned method for determining the thermal characteristics of a building requires on-site measurement by testing engineers using dedicated sensors, which has high manpower and resource costs. In addition, on-site measurement may affect the normal operation of the building. For example, employees are not allowed to work in the building office.

[0004] In summary, the traditional method of determining the thermal characteristics of buildings has technical problems such as high manpower and resource costs and affecting the normal operation of buildings. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method, device and electronic equipment for determining the thermal characteristics of a building, so as to alleviate the technical problems of the traditional method for determining the thermal characteristics of a building, such as high manpower and resource costs and affecting the normal operation of the building.

[0006] In a first aspect, an embodiment of the present invention provides a method for determining thermal characteristics of a building, comprising:

[0007] Filtering historical operating data of the air conditioner in the building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset filtering conditions to obtain a data sample;

[0008] Grouping the data samples according to the meteorological parameters in the data samples to obtain a plurality of data sample groups, wherein the number of data samples in each of the data sample groups is greater than a preset number;

[0009] Building thermal characteristics are identified for the data samples in each of the data sample groups according to the heat balance formula to obtain space ventilation characteristic parameters and enclosure structure heat transfer coefficients in the building thermal characteristics corresponding to each of the data sample groups of the building space to be evaluated.

[0010] Furthermore, the historical operating data includes: the operating status of each air-conditioning unit in the building space to be evaluated, the temperature in the building space to be evaluated, and the temperature outside the building space to be evaluated; the meteorological parameters include: the solar irradiance outside the building space to be evaluated;

[0011] The preset screening conditions include: the operating status of each air-conditioning indoor unit is in the operating state, and the fluctuation value of the temperature in the building space to be evaluated does not exceed the first preset value and is maintained for a first preset time, and the fluctuation value of the temperature outside the building space to be evaluated does not exceed the second preset value and is maintained for the first preset time, and the solar irradiance is less than the third preset value, and the heat source intensity in the building space to be evaluated is less than a preset proportion of the heat source intensity when the building space to be evaluated is in normal use, and the average temperature difference between the inside of the building space to be evaluated and the outside of the building space to be evaluated is greater than a fourth preset value, and the hourly minimum temperature difference between the inside of the building space to be evaluated and the outside of the building space to be evaluated is greater than a fifth preset value.

[0012] Furthermore, the method for collecting the historical operation data includes: starting all air-conditioning indoor units in the building space to be evaluated within a preset time range in the evening; if the state is cooling operation, setting the difference between the temperature of all air-conditioning indoor units and the temperature outside the building space to be evaluated to be less than a sixth preset value, and setting the cooling operation to a second preset duration; if the state is heating operation, setting the difference between the temperature of all air-conditioning indoor units and the temperature outside the building space to be evaluated to be greater than a seventh preset value, and setting the heating operation to the second preset duration.

[0013] Furthermore, the meteorological parameters further include: rain conditions outside the building space to be evaluated and wind speed outside the building space to be evaluated; grouping the data samples according to the meteorological parameters in the data samples includes:

[0014] The data samples are grouped according to the rain condition and the wind speed in the meteorological parameters to obtain a plurality of data sample groups.

[0015] Furthermore, the historical operating data further includes: the capacity of each air conditioner in the building space to be evaluated and the humidity in the building space to be evaluated; the meteorological parameters further include: the humidity outside the building space to be evaluated; and the building thermal characteristics are identified for each data sample in the data sample group according to the heat balance formula, including:

[0016] According to the heat balance Perform building thermal characteristics identification on the data samples in each data sample group to obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building thermal characteristics corresponding to each data sample group of the building space to be evaluated, wherein Q cool represents the capacity of the air conditioner indoor unit, F represents the space ventilation characteristic parameter in the building thermal characteristics, Δh represents the air enthalpy difference between the building space to be evaluated and the air outside the building space to be evaluated, Δh=h 内 -h 外 , h 内 Represents the air enthalpy value in the building space to be evaluated, h 外 represents the air enthalpy value outside the building space to be evaluated, kA represents the heat transfer coefficient of the building envelope in the building thermal characteristics, and ΔT represents the average temperature difference between the inside and outside of the building space to be evaluated.

[0017] Furthermore, when performing the identification of the building thermal characteristics, the algorithms used include: least squares method or neural network algorithm.

[0018] Furthermore, the method further comprises:

[0019] Relevant functions are realized according to the thermal characteristics of the building, wherein the relevant functions include: diagnosis of energy-saving transformation of the envelope structure, prediction of building cooling and heating loads, calculation of pre-cooling and pre-heating time, and evaluation of building thermal characteristics.

[0020] In a second aspect, an embodiment of the present invention further provides a device for determining thermal characteristics of a building, comprising:

[0021] a screening unit, configured to screen historical operating data of the air conditioner in the building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset screening conditions, to obtain a data sample;

[0022] a grouping unit, configured to group the data samples according to meteorological parameters in the data samples to obtain a plurality of data sample groups, wherein the number of data samples in each of the data sample groups is greater than a preset number;

[0023] The building thermal characteristics identification unit is used to identify the building thermal characteristics of the data samples in each of the data sample groups according to the thermal balance formula, and obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building thermal characteristics corresponding to each of the data sample groups of the building space to be evaluated.

[0024] In a third aspect, an embodiment of the present invention further provides an electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0025] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores machine-executable instructions. When the machine-executable instructions are called and executed by a processor, the machine-executable instructions prompt the processor to execute any of the methods described in the first aspect above.

[0026] In an embodiment of the present invention, the method for determining the thermal characteristics of a building of the present invention is to automatically identify the thermal characteristics of the building space to be evaluated through screened historical operating data of the air conditioner and meteorological data. There is no need to install additional sensing equipment, which reduces manpower and resource costs. In addition, the normal operation of the building space to be evaluated is not affected during the identification, which alleviates the technical problems of traditional methods for determining the thermal characteristics of a building, which are labor-intensive, high in resource costs, and affect the normal operation of the building. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0028] Figure 1 A flow chart of a method for determining thermal characteristics of a building provided by an embodiment of the present invention;

[0029] Figure 2 A schematic diagram of the distribution of the heat transfer coefficient kA of the enclosure structure and the space ventilation characteristic parameter F provided in an embodiment of the present invention;

[0030] Figure 3 A schematic diagram showing the comparison of identified building thermal characteristics with relevant evaluation standards provided by an embodiment of the present invention;

[0031] Figure 4 A schematic diagram of the ranking of building thermal characteristics in a statistical space provided by an embodiment of the present invention;

[0032] Figure 5 A schematic diagram of a device for determining thermal characteristics of a building provided by an embodiment of the present invention;

[0033] Figure 6 A schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0035] Traditional methods for determining a building's thermal properties involve on-site testing of the building envelope's natural frequency response to temperature waves and comparing it with the frequency characteristics of a standard building envelope. This requires on-site testing by engineers using specialized sensors, resulting in high labor and resource costs. Furthermore, on-site measurements can disrupt the building's normal operation.

[0036] Based on this, an embodiment of the present invention provides a method for determining the thermal characteristics of a building, which automatically identifies the thermal characteristics of the building space to be evaluated through filtered historical air conditioning operation data and meteorological data. There is no need to install additional sensing equipment, which reduces manpower and resource costs, and the normal operation of the building space to be evaluated is not affected during the identification.

[0037] To facilitate understanding of this embodiment, a method for determining building thermal characteristics disclosed in an embodiment of the present invention is first introduced in detail.

[0038] Example 1:

[0039] According to an embodiment of the present invention, an embodiment of a method for determining thermal characteristics of a building is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0040] Figure 1 FIG. 1 is a flow chart of a method for determining building thermal characteristics according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps:

[0041] Step S102: Filter the historical operating data of the air conditioner in the building space to be evaluated and the meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset filtering conditions to obtain data samples;

[0042] In an embodiment of the present invention, historical operating data of the air conditioner in the building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data are first obtained. The meteorological parameters outside the building space to be evaluated corresponding to the historical operating data refer to meteorological parameters outside the building space to be evaluated corresponding to the time of the historical operating data. Then, the historical operating data of the air conditioner in the building space to be evaluated and the meteorological parameters outside the building space to be evaluated corresponding to the historical operating data are filtered according to preset filtering conditions, so as to obtain the filtered historical operating data of the air conditioner in the building space to be evaluated and the meteorological parameters outside the building space to be evaluated corresponding to the historical operating data as data samples.

[0043] Step S104, grouping the data samples according to the meteorological parameters in the data samples to obtain a plurality of data sample groups, wherein the number of data samples in each data sample group is greater than a preset number;

[0044] The number of data samples in each of the above data sample groups is higher than a preset number, generally greater than 20 data samples, to meet statistical requirements.

[0045] Step S106 , identifying building thermal characteristics of the data samples in each data sample group according to the heat balance formula, and obtaining space ventilation characteristic parameters and enclosure heat transfer coefficients in the building thermal characteristics corresponding to each data sample group of the building space to be evaluated.

[0046] The method of the present invention realizes the digitization and informatization of building thermal characteristic parameters and their application problems through a data-driven identification method.

[0047] In an embodiment of the present invention, the method for determining the thermal characteristics of a building of the present invention is to automatically identify the thermal characteristics of the building space to be evaluated through screened historical operating data of the air conditioner and meteorological data. There is no need to install additional sensing equipment, which reduces manpower and resource costs. In addition, the normal operation of the building space to be evaluated is not affected during the identification, which alleviates the technical problems of traditional methods for determining the thermal characteristics of a building, which are labor-intensive, high in resource costs, and affect the normal operation of the building.

[0048] The above content briefly introduces the method for determining the thermal characteristics of a building according to the present invention. The specific contents involved are described in detail below.

[0049] In an optional embodiment of the present invention, the historical operating data includes: the operating status of each air conditioner in the building space to be evaluated, the temperature in the building space to be evaluated, and the temperature outside the building space to be evaluated; the meteorological parameters include: the solar irradiance outside the building space to be evaluated;

[0050] The preset screening conditions include: the operating status of each air-conditioning indoor unit is in the operating state, and the fluctuation value of the temperature in the building space to be evaluated does not exceed the first preset value and is maintained for a first preset time, and the fluctuation value of the temperature outside the building space to be evaluated does not exceed the second preset value and is maintained for a first preset time, and the solar irradiance is less than the third preset value, and the heat source intensity in the building space to be evaluated is less than a preset proportion of the heat source intensity when the building space to be evaluated is in normal use, and the average temperature difference between the building space to be evaluated and the outside of the building space to be evaluated is greater than a fourth preset value, and the hourly minimum temperature difference between the building space to be evaluated and the outside of the building space to be evaluated is greater than a fifth preset value.

[0051] Specifically, the operating state may be a cooling operation state or a heating operation state. The temperature within the building space to be evaluated refers to the average temperature within the building space to be evaluated detected by each air conditioner indoor unit. Specifically, if there are multiple air conditioners within the building space to be evaluated, the temperature within the building space to be evaluated refers to the average temperature of the multiple air conditioners within the building space to be evaluated over a first preset time period and space. If there is only one air conditioner within the building space to be evaluated, the temperature within the building space to be evaluated refers to the average temperature of the one air conditioner indoor unit within the first preset time period. The temperature outside the building space to be evaluated refers to the average temperature outside the building space to be evaluated detected by each air conditioner outdoor unit. Specifically, if there are multiple air conditioners outside the building space to be evaluated, the temperature outside the building space to be evaluated refers to the average temperature of the multiple air conditioners within the first preset time period and space. If there is only one air conditioner within the building space to be evaluated, the temperature outside the building space to be evaluated refers to the average temperature of the one air conditioner outdoor unit within the first preset time period. The solar irradiance refers to the radiant energy per unit area per unit time that reaches the solid Earth's surface after being absorbed, scattered, reflected, and other effects of the atmosphere. Its unit is: Watt / square meter (W / m 2 ); the above-mentioned heat source intensity refers to the heat dissipation intensity of personnel and equipment.

[0052] The above-mentioned preset screening conditions may specifically refer to the data in the data sample being that the operating state of each air-conditioning indoor unit is the cooling operation state or the heating operation state, and the fluctuation value of the temperature inside the building space to be evaluated does not exceed 0.5°C (i.e., the first preset value) and is maintained for more than 1 hour (i.e., the first preset time), and the fluctuation value of the temperature outside the building space to be evaluated does not exceed 1.5°C (i.e., the second preset value) and is maintained for more than 1 hour, and the solar irradiance is less than 0.5W / m 2(i.e., the third preset value), and the heat source intensity (heat dissipation by personnel and equipment) in the building space to be evaluated is less than 5% of the heat source intensity during normal use of the building space to be evaluated (i.e., the preset ratio), and the average temperature difference between the inside and outside of the building space to be evaluated is greater than 3.5°C (i.e., the fourth preset value), and the hourly minimum temperature difference between the inside and outside of the building space to be evaluated is greater than 3°C (i.e., the temperature difference between the inside and outside of the building space to be evaluated at the same time is greater than the fifth preset value).

[0053] For example, the historical operating data of an air conditioner includes one hour of cooling operating status data and the corresponding meteorological parameters outside the building space to be evaluated. The sampling time is one minute, so there are 60 pieces of data for one hour. These 60 pieces of data must meet the above screening conditions to be used as a data sample.

[0054] After processing the above 60 pieces of data (referring to the calculation results obtained after performing relevant calculations on the original sampled data), a data sample is obtained as shown in the following table:

[0055] The inventors took into account that there may be relatively few historical operating data and corresponding meteorological parameters that can meet the above-mentioned screening conditions. Therefore, when the amount of data samples is relatively small, some data samples can be produced. Based on this, the inventors designed a method for producing historical operating data. In an optional embodiment of the present invention, the method for collecting historical operating data includes: starting all air-conditioning indoor units in the building space to be evaluated within a preset time range in the evening. If it is in the cooling operation state, the difference between the temperature of all air-conditioning indoor units and the temperature outside the building space to be evaluated is set to be less than a sixth preset value, and the cooling operation is performed for the second preset time. If it is in the heating operation state, the difference between the temperature of all air-conditioning indoor units and the temperature outside the building space to be evaluated is set to be greater than a seventh preset value, and the heating operation is performed for the second preset time.

[0056] Specifically, a test mode can be set to start all air conditioners in the building space to be evaluated in the early morning and evening (4:00am-5:30am), with the temperature set to be at least 4°C lower than the temperature outside the building space to be evaluated (cooling) (i.e., the difference between the temperature of all air conditioners and the temperature outside the building space to be evaluated is set to be less than -4°C) / the temperature set to be at least 3.5°C higher than the temperature outside the building space to be evaluated (heating) (i.e., the difference between the temperature of all air conditioners and the temperature outside the building space to be evaluated is set to be greater than 3.5°C), and the operation time is 4 hours (i.e., the second preset time length). In this mode, the historical operation data obtained generally meets the above-mentioned screening conditions.

[0057] In an optional embodiment of the present invention, the meteorological parameters also include: rain conditions outside the building space to be evaluated and wind speed outside the building space to be evaluated; grouping the data samples according to the meteorological parameters in the data samples includes: grouping the data samples according to the rain conditions and wind speed in the meteorological parameters to obtain multiple data sample groups.

[0058] Specifically, data samples are grouped based on whether it is raining and the wind speed range. For example, data samples can be grouped into six groups: rainy and wind speed 0-2 m / s, rainy and wind speed 2-5 m / s, rainy and wind speed 5 m / s, no rainy and wind speed 0-2 m / s, no rainy and wind speed 2-5 m / s, and no rainy and wind speed 5 m / s. This embodiment of the present invention does not limit the specific method of grouping.

[0059] In an optional embodiment of the present invention, the historical operating data further includes: the capacity of each air conditioner in the building space to be evaluated and the humidity in the building space to be evaluated; the meteorological parameters further include: the humidity outside the building space to be evaluated; and the building thermal characteristics are identified for the data samples in each data sample group according to the heat balance formula, specifically including:

[0060] According to the heat balance The building thermal characteristics of the data samples in each data sample group are identified to obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building thermal characteristics corresponding to each data sample group of the building space to be evaluated, where Q cool represents the capacity of the air conditioner indoor unit, F represents the space ventilation characteristic parameter in the building thermal characteristics, Δh represents the air enthalpy difference between the building space to be evaluated and the air outside the building space to be evaluated, Δh=h 内 -h 外 , h 内 Indicates the air enthalpy value in the building space to be evaluated, h 外 It represents the enthalpy of air outside the building space to be evaluated, kA represents the heat transfer coefficient of the building envelope in the thermal characteristics of the building, and ΔT represents the average temperature difference between the inside and outside of the building space to be evaluated.

[0061] Specifically, the capacity of each air-conditioning indoor unit refers to the cooling capacity or heating capacity of each air-conditioning indoor unit, the humidity inside the building space to be evaluated refers to the humidity inside the building space to be evaluated detected by each air-conditioning indoor unit, and the humidity outside the building space to be evaluated refers to the humidity outside the building space to be evaluated detected by each air-conditioning outdoor unit or the humidity outside the building space to be evaluated detected by the weather station; in the above heat balance formula, the space ventilation characteristic parameter F and the heat transfer coefficient kA of the enclosure structure are the required values, and the other parameters are known values, among which Δh represents the air enthalpy difference between the building space to be evaluated and the air outside the building space to be evaluated, Δh=h 内 -h外 , h 内 Indicates the air enthalpy value in the building space to be evaluated, h 外 Represents the enthalpy of the air outside the building space to be evaluated.

[0062] The calculation formula for air enthalpy is: h = 1.005T + (2500 + 1.86T) d, where h represents the air enthalpy, T represents the temperature, and d represents the moisture content (which can be calculated using the following formula);

[0063] The calculation formula for moisture content is: Where d represents the moisture content, Indicates humidity, P w represents the water vapor partial pressure (which can be calculated by the following formula), and P represents the standard atmospheric pressure;

[0064] The calculation formula for water vapor partial pressure is: Among them, P w represents, and T represents temperature.

[0065] In an optional embodiment of the present invention, when performing building thermal characteristics identification, the algorithms used include: least squares method or neural network algorithm.

[0066] Specifically, when fitting according to the thermal equilibrium equation, since the number of data samples in each data sample group is greater than 20, the above thermal equilibrium equation is an overdetermined equation. When solving it, the least squares method or neural network algorithm can be used to solve it. If the accuracy reaches more than 90% and meets the stability test requirements (the total number of identification parameter errors with upper and lower deviations of 10% accounts for more than 85%), it is considered that the fitting result meets the requirements.

[0067] Figure 2 The figure shows a distribution diagram of the heat transfer coefficient kA of the enclosure structure and the space ventilation characteristic parameter F. The right coordinate axis shows the distribution diagram of the space ventilation characteristic parameter F, and the upper coordinate axis shows the distribution diagram of the heat transfer coefficient kA of the enclosure structure. It can be seen that the results obtained are stable (the bar graph is relatively concentrated).

[0068] In an optional embodiment of the present invention, after obtaining the building thermal characteristics, the method further includes:

[0069] Relevant functions are realized according to the thermal characteristics of the building, including: diagnosis of energy-saving transformation of envelope structures, prediction of building cooling and heating loads, calculation of pre-cooling and preheating time, and evaluation of building thermal characteristics.

[0070] Specifically, the functional module references the heat transfer coefficient of the enclosure structure and the space ventilation characteristic parameters to realize related functions.

[0071] For example, when evaluating the thermal characteristics of a building, the thermal characteristics of the building identified by this method are compared with relevant evaluation standards, such as Figure 3 As shown in the figure, the thermal characteristic parameters are evaluated. If the error between the two is within 10%, it is considered to meet the design standards.

[0072] It is also possible to determine the grade standard, form a statistical space by identifying multiple building thermal characteristics, and rank the currently identified building thermal characteristics in the statistical space, such as Figure 4 As shown, the top 25% are rated as level one, the top 50% are rated as level two, the top 75% are rated as level three, and the bottom 25% are rated as level four.

[0073] The present invention identifies building thermal characteristics by screening data samples based on the historical operating data of the air conditioners in the building space to be evaluated and the meteorological parameters outside the building space to be evaluated corresponding to the historical operating data. The identified building thermal characteristics are accurate, stable and reliable. The data-driven identification method can realize the digitization and informatization of building thermal characteristics.

[0074] Example 2:

[0075] An embodiment of the present invention further provides a device for determining the thermal characteristics of a building. The device for determining the thermal characteristics of a building is mainly used to execute the method for determining the thermal characteristics of a building provided in the first embodiment of the present invention. The device for determining the thermal characteristics of a building provided in the embodiment of the present invention is specifically introduced below.

[0076] Figure 5 is a schematic diagram of a device for determining thermal characteristics of a building according to an embodiment of the present invention, such as Figure 5 As shown, the device mainly includes: a screening unit 10, a grouping unit 20 and a building thermal characteristics identification unit 30, wherein:

[0077] a screening unit, configured to screen historical operating data of the air conditioner in the building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset screening conditions, to obtain data samples;

[0078] a grouping unit, configured to group the data samples according to meteorological parameters in the data samples to obtain a plurality of data sample groups, wherein the number of data samples in each data sample group is greater than a preset number;

[0079] The building thermal characteristics identification unit is used to identify the building thermal characteristics of the data samples in each data sample group according to the thermal balance formula, and obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building thermal characteristics corresponding to each data sample group of the building space to be evaluated.

[0080] In an embodiment of the present invention, the device for determining the building thermal characteristics of the present invention automatically identifies the building thermal characteristics of the building space to be evaluated through screened historical operating data and meteorological data of the air conditioner, without the need to install additional sensing equipment, reducing manpower and resource costs, and has no impact on the normal operation of the building space to be evaluated during the identification, thereby alleviating the technical problems of traditional methods for determining building thermal characteristics, which are labor-intensive, high in resource costs, and affect the normal operation of the building.

[0081] Optionally, the historical operating data includes: the operating status of each air-conditioning indoor unit in the building space to be evaluated, the temperature in the building space to be evaluated, and the temperature outside the building space to be evaluated; the meteorological parameters include: the solar irradiance outside the building space to be evaluated; the preset screening conditions include: the operating status of each air-conditioning indoor unit is the operating state, and the fluctuation value of the temperature in the building space to be evaluated does not exceed a first preset value and is maintained for a first preset time, and the fluctuation value of the temperature outside the building space to be evaluated does not exceed a second preset value and is maintained for a first preset time, and the solar irradiance is less than a third preset value, and the heat source intensity in the building space to be evaluated is less than a preset proportion of the heat source intensity when the building space to be evaluated is in normal use, and the average temperature difference between the building space to be evaluated and the outside of the building space to be evaluated is greater than a fourth preset value, and the hourly minimum temperature difference between the building space to be evaluated and the outside of the building space to be evaluated is greater than a fifth preset value.

[0082] Optionally, the method for collecting historical operation data includes: starting all air-conditioning indoor units in the building space to be evaluated within a preset time range in the evening; if it is in a cooling operation state, setting the difference between the temperature of all air-conditioning indoor units and the temperature outside the building space to be evaluated to be less than a sixth preset value, and setting the cooling operation to be a second preset time; if it is in a heating operation state, setting the difference between the temperature of all air-conditioning indoor units and the temperature outside the building space to be evaluated to be greater than a seventh preset value, and setting the heating operation to be a second preset time.

[0083] Optionally, the meteorological parameters further include: rain conditions outside the building space to be evaluated and wind speed outside the building space to be evaluated; the grouping unit is further used to: group the data samples according to the rain conditions and wind speed in the meteorological parameters to obtain multiple data sample groups.

[0084] Optionally, the historical operation data also includes: the capacity of each air conditioner in the building space to be evaluated and the humidity in the building space to be evaluated; the meteorological parameters also include: the humidity outside the building space to be evaluated; the building thermal characteristics identification unit is further used to: The building thermal characteristics of the data samples in each data sample group are identified to obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building thermal characteristics corresponding to each data sample group of the building space to be evaluated, where Q coolrepresents the capacity of the air conditioner indoor unit, F represents the space ventilation characteristic parameter in the building thermal characteristics, Δh represents the air enthalpy difference between the building space to be evaluated and the air outside the building space to be evaluated, Δh=h 内 -h 外 , h 内 Indicates the air enthalpy value in the building space to be evaluated, h 外 It represents the enthalpy of air outside the building space to be evaluated, kA represents the heat transfer coefficient of the building envelope in the thermal characteristics of the building, and ΔT represents the average temperature difference between the inside and outside of the building space to be evaluated.

[0085] Optionally, when identifying the thermal characteristics of a building, the algorithms used include: least squares method or neural network algorithm.

[0086] Optionally, the device is also used to: realize relevant functions according to the thermal characteristics of the building, wherein the relevant functions include: energy-saving transformation diagnosis of the envelope structure, building cooling and heating load prediction, pre-cooling and preheating time calculation, and building thermal characteristics evaluation.

[0087] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0088] like Figure 6 As shown, an electronic device 600 provided in an embodiment of the present application includes: a processor 601, a memory 602 and a bus. The memory 602 stores machine-readable instructions executable by the processor 601. When the electronic device is running, the processor 601 communicates with the memory 602 through the bus, and the processor 601 executes the machine-readable instructions to perform the steps of the method for determining the thermal characteristics of a building as described above.

[0089] Specifically, the memory 602 and processor 601 can be general-purpose memories and processors, which are not specifically limited here. When the processor 601 runs the computer program stored in the memory 602, the method for determining the thermal characteristics of the building can be executed.

[0090] The processor 601 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 601 or by instructions in the form of software. The above-mentioned processor 601 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps, and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 602, and processor 601 reads the information in memory 602 and performs the steps of the above method in conjunction with its hardware.

[0091] Corresponding to the above-mentioned method for determining the thermal characteristics of a building, an embodiment of the present application further provides a computer-readable storage medium, which stores machine-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the steps of the above-mentioned method for determining the thermal characteristics of a building.

[0092] The device for determining the thermal characteristics of a building provided in the embodiments of the present application can be specific hardware on the device or software or firmware installed on the device. The implementation principles and technical effects of the device provided in the embodiments of the present application are the same as those of the aforementioned method embodiments. For the sake of brief description, any matters not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiments. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can all refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0093] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0094] For another example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0095] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0096] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0097] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling an electronic device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the vehicle marking method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, and other media that can store program codes.

[0098] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0099] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. However, these modifications, changes, or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application. They should all be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for determining thermal characteristics of a building, characterized in that: include: Filtering historical operating data of the air conditioner in the building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset filtering conditions to obtain a data sample; Grouping the data samples according to the meteorological parameters in the data samples to obtain a plurality of data sample groups, wherein the number of data samples in each of the data sample groups is greater than a preset number; Identify the building thermal characteristics of the data samples in each data sample group according to the heat balance formula, and obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building thermal characteristics corresponding to each data sample group of the building space to be evaluated; The historical operation data further includes: the capacity of each air conditioner in the building space to be evaluated and the humidity in the building space to be evaluated; the meteorological parameters further include: the humidity outside the building space to be evaluated; and the building thermal characteristics are identified for each data sample in the data sample group according to the heat balance formula, including: According to the heat balance Perform building thermal characteristics identification on the data samples in each of the data sample groups to obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building envelope in the building thermal characteristics corresponding to each of the data sample groups of the building space to be evaluated, wherein: Indicates the capacity of the air conditioner indoor unit. represents the space ventilation characteristic parameter in the building thermal characteristics, represents the air enthalpy difference between the air inside the building space to be evaluated and the air outside the building space to be evaluated, , represents the air enthalpy value in the building space to be evaluated, represents the air enthalpy value outside the building space to be evaluated, and the air enthalpy value is calculated based on temperature and humidity. represents the heat transfer coefficient of the building envelope in the thermal characteristics of the building, It represents the average temperature difference between the inside and outside of the building space to be evaluated.

2. The method according to claim 1, characterized in that The historical operation data includes: the operating status of each air-conditioning unit in the building space to be evaluated, the temperature in the building space to be evaluated, and the temperature outside the building space to be evaluated; the meteorological parameters include: the solar irradiance outside the building space to be evaluated; The preset screening conditions include: the operating status of each air-conditioning indoor unit is in the operating state, and the fluctuation value of the temperature in the building space to be evaluated does not exceed the first preset value and is maintained for a first preset time, and the fluctuation value of the temperature outside the building space to be evaluated does not exceed the second preset value and is maintained for the first preset time, and the solar irradiance is less than the third preset value, and the heat source intensity in the building space to be evaluated is less than a preset proportion of the heat source intensity when the building space to be evaluated is in normal use, and the average temperature difference between the inside of the building space to be evaluated and the outside of the building space to be evaluated is greater than a fourth preset value, and the hourly minimum temperature difference between the inside of the building space to be evaluated and the outside of the building space to be evaluated is greater than a fifth preset value.

3. The method according to claim 1, characterized in that The method for collecting the historical operation data includes: starting all air-conditioning units in the building space to be evaluated within a preset time range in the evening; if the system is in a cooling operation state, setting the difference between the temperature of all air-conditioning units and the temperature outside the building space to be evaluated to be less than a sixth preset value, and setting the cooling operation time to be a second preset time; if the system is in a heating operation state, setting the difference between the temperature of all air-conditioning units and the temperature outside the building space to be evaluated to be greater than a seventh preset value, and setting the heating operation time to be the second preset time.

4. The method according to claim 1, wherein The meteorological parameters further include: rain conditions outside the building space to be evaluated and wind speed outside the building space to be evaluated; grouping the data samples according to the meteorological parameters in the data samples includes: The data samples are grouped according to the rain condition and the wind speed in the meteorological parameters to obtain a plurality of data sample groups.

5. The method according to claim 1, wherein When performing the identification of the building thermal characteristics, the algorithms used include: least squares method or neural network algorithm.

6. The method according to claim 1, characterized in that The method further comprises: Relevant functions are realized according to the thermal characteristics of the building, wherein the relevant functions include: diagnosis of energy-saving transformation of the envelope structure, prediction of building cooling and heating loads, calculation of pre-cooling and pre-heating time, and evaluation of building thermal characteristics.

7. A device for determining thermal characteristics of a building, characterized in that: include: a screening unit, configured to screen historical operating data of the air conditioner in the building space to be evaluated and meteorological parameters outside the building space to be evaluated corresponding to the historical operating data according to preset screening conditions, to obtain a data sample; a grouping unit, configured to group the data samples according to meteorological parameters in the data samples to obtain a plurality of data sample groups, wherein the number of data samples in each of the data sample groups is greater than a preset number; A building thermal characteristics identification unit is configured to identify the building thermal characteristics of the data samples in each of the data sample groups according to a heat balance formula, and obtain a space ventilation characteristic parameter and a heat transfer coefficient of an enclosure structure in the building thermal characteristics corresponding to each of the data sample groups of the building space to be evaluated; The historical operation data also includes: the capacity of each air conditioner in the building space to be evaluated and the humidity in the building space to be evaluated; the meteorological parameters also include: the humidity outside the building space to be evaluated; the building thermal characteristics identification unit is further used to: Perform building thermal characteristics identification on the data samples in each of the data sample groups to obtain the space ventilation characteristic parameters and the heat transfer coefficient of the building envelope in the building thermal characteristics corresponding to each of the data sample groups of the building space to be evaluated, wherein: Indicates the capacity of the air conditioner indoor unit. represents the space ventilation characteristic parameter in the building thermal characteristics, represents the air enthalpy difference between the air inside the building space to be evaluated and the air outside the building space to be evaluated, , represents the air enthalpy value in the building space to be evaluated, represents the air enthalpy value outside the building space to be evaluated, and the air enthalpy value is calculated based on temperature and humidity. represents the heat transfer coefficient of the building envelope in the thermal characteristics of the building, It represents the average temperature difference between the inside and outside of the building space to be evaluated.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores machine-executable instructions. When the machine-executable instructions are called and executed by a processor, the machine-executable instructions prompt the processor to execute the method according to any one of claims 1 to 6.

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