Method and system for improving energy conservation of mansion by detecting temperature difference between interior and exterior of wall

Abstract

The invention provides a method and system for improving energy conservation of a mansion by detecting the temperature difference between the inside and outside of a wall, and relates to the technical field of building energy saving.The method includes the steps that height partition marking and timing collection are conducted on the wall of a building to be monitored, an infrared thermogram is generated, and key data are extracted through an image processing algorithm; a scientific basis is provided for intelligent setting of an energy-saving warning threshold value; in addition, based on comprehensive analysis of historical infrared heat maps and wind power data, an energy-saving strategy can be dynamically adjusted, and it is ensured that environmental changes are responded in time in actual operation. The energy-saving efficiency of the high-rise building is improved, and the data-driven intelligent monitoring is combined with the traditional energy-saving technology, so that the ubiquitous defects in the prior art are effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of building energy conservation, and in particular to a method and a system for improving building energy conservation by detecting the temperature difference between inside and outside of a wall. Background Art

[0002] Energy-saving strategies for building heating, ventilation and air conditioning (HVAC) systems have gradually evolved into a systematic approach aimed at reducing energy consumption and improving the energy efficiency of buildings. Especially in the context of climate change and energy crisis, improving the thermal performance of building envelopes and optimizing heating and ventilation systems are considered important ways to achieve sustainable buildings. Through in-depth research on the thermal performance of building envelopes such as walls, windows and roofs, many scholars and engineers have proposed a variety of energy-saving improvement measures, such as the use of high-efficiency insulation materials, intelligent ventilation control, and the use of smart sensors to monitor indoor and outdoor environmental parameters in real time.

[0003] In the prior art, the publication number is CN103196565B, and the name is a method for marking indoor energy-saving detection points of buildings based on infrared thermal images, which includes: a). shooting infrared thermal images; b). stitching infrared images; c). setting the detection subject; d). dividing n temperature zones; e). generating isothermal maps; f). establishing histogram distribution; g). selecting the first m larger temperature zones as the detection point marking positions; h). selecting the detection points according to the isothermal maps and the infrared thermal images of the detection subject. The method for marking indoor energy-saving detection points of buildings of the present invention is applied to indoor analysis and detection of buildings, and can accurately select the positions of building energy-saving detection points of indoor walls. The operation method is flexible and simple, the recognition effect is intuitive and discernible, the detection results can be stored, and can be analyzed multiple times. It can be used as a processing and analysis method for indoor walls in the process of building energy-saving detection, and can also be used as a direct basis for the placement of thermometers and heat flow meters.

[0004] In the actual implementation process, the dynamic monitoring of the temperature difference between the inside and outside of the wall and the real-time adjustment of the energy-saving strategy are still insufficient; the existing methods mostly rely on regional temperature monitoring, lack of detailed analysis of building height zoning, resulting in an inability to fully understand the changes in thermal performance of high-rise buildings at different heights; in addition, the existing technology often ignores the impact of external factors such as wind on the heat load of the building wall, making it impossible to fully consider the changes in actual environmental conditions when implementing energy-saving measures. Many existing energy-saving warning systems have failed to establish an effective historical data analysis mechanism, resulting in a lack of scientific basis for the setting of energy-saving thresholds and difficulty in adapting to changes in actual use; therefore, the shortcomings of existing technologies in dynamic response and intelligent adjustment limit their application effect in large high-rise buildings.

[0005] The above information disclosed in the above Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The object of the present invention is to provide a method and system for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall, so as to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for improving energy saving of a building by detecting the temperature difference between inside and outside of a wall, the specific steps comprising:

[0009] Step S1: The building wall to be monitored is divided and marked according to the height to form a height sequence set {1, 2, ..., i, ..., n}, where i represents the i-th height partition, n represents the total number of height partitions, and the larger the value of i is, the higher the building wall is;

[0010] Step S2: regularly monitor the temperature difference between the inner and outer surfaces of the building wall at different height zones, as well as the temperature distribution of the ventilation windows, and generate corresponding infrared thermal maps to form historical infrared thermal map data; and in each regular monitoring, monitor the average wind force value data received by each height zone at different monitoring time periods to form historical wind force data;

[0011] Step S3: converting the infrared thermal image data into digital temperature data, and using an image processing algorithm to extract key data of the building wall at different height partitions, the key data including the wall inner surface temperature, the wall outer surface temperature, the heat flow and the temperature of the ventilation window;

[0012] Step S4: according to the historical infrared thermal image data and the historical wind data, setting the energy-saving warning threshold of each height partition in different monitoring time periods, and the standard threshold of the average wind value of the outer surface of each height partition in different monitoring time periods;

[0013] Step S5: monitor the inner surface temperature of the wall, the outer surface temperature of the wall, the heat flow, the temperature of the ventilation window and the average wind force value of the i-th height partition on the building wall in the current monitoring time period; if the average wind force value of the i-th height partition is greater than the corresponding standard threshold, provide an adjustment strategy for the energy-saving warning threshold of the current i-th height partition;

[0014] Step S6: Compare and analyze the wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature of the i-th height partition in the current monitoring time period with the energy-saving warning threshold adjusted in step S5, and comprehensively generate an adjustment index for adjusting the ventilation demand of the i-th height partition.

[0015] Furthermore, the generation of the adjustment index specifically includes:

[0016] Define the adjustment index of the i-th height partition in the current monitoring time period r1 as Ai,r1, and the calculation formula is as follows:

[0017]

[0018] Among them, η1 is the adjustment coefficient, 0.01≤η1≤0.99, which is used to ensure that the value range of Ai,r1 is within (0,1);

[0019] ΔT i,r1 , Q wall,i,r1 CKT i,r1 , T′ th,i,r1 The value ranges are all standardized to the same scale and are limited to (0,1);

[0020] If A i,r1 The value is in the interval (0, 0.25), which means that the wall insulation effect is good and the ventilation demand is low. It is recommended to maintain the existing ventilation status. The current ventilation window opening ratio is 0% to 10%;

[0021] If A i,r1 The value is in the interval [0.25, 0.75), indicating that the wall insulation effect is average and ventilation needs to be increased to maintain energy efficiency. The current ventilation window opening ratio is 10% to 50%;

[0022] If A i,r1 The value is in the interval (0.75, 1), indicating that the wall insulation effect is poor and ventilation needs to be further increased to avoid increased building energy consumption. The current ventilation window opening ratio is 50% to 100%.

[0023] A system for improving energy conservation of a building by detecting the temperature difference between the inside and outside of a wall, the system being used to execute the method for improving energy conservation of a building by detecting the temperature difference between the inside and outside of a wall, comprising:

[0024] Division and marking module: used to divide and mark the monitored building walls according to their heights to form a height sequence set {1, 2, ..., i, ..., n}, where i represents the i-th height partition, n represents the total number of height partitions, and the larger the value of i, the higher the building wall;

[0025] Historical data generation module: used to regularly monitor the temperature difference between the inner and outer surfaces of the building wall at different height zones, as well as the temperature distribution of the ventilation windows, and generate corresponding infrared thermal maps to form historical infrared thermal map data; and in each regular monitoring, monitor the average wind force value data of each height zone in different monitoring time periods to form historical wind force data;

[0026] Extraction module: used to convert infrared thermal image data into digital temperature data, and use image processing algorithms to extract key data of building walls at different height partitions, including wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature;

[0027] Threshold setting module: used to set the energy-saving warning threshold of each height partition in different monitoring time periods according to historical infrared thermal image data and historical wind data, as well as the standard threshold of the average wind value of the outer surface of each height partition in different monitoring time periods;

[0028] Adjustment strategy generation module: used to monitor the inner surface temperature of the wall, the outer surface temperature of the wall, the heat flow, the temperature of the ventilation window and the average wind force value of the i-th height partition on the building wall during the current monitoring period; if the average wind force value of the i-th height partition is greater than the corresponding standard threshold, an adjustment strategy is provided for the energy-saving warning threshold of the current i-th height partition;

[0029] Adjustment index generation module: used to compare and analyze the wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature of the i-th height partition in the current monitoring time period with the corresponding energy-saving warning threshold, and comprehensively generate an adjustment index for adjusting the ventilation demand of the i-th height partition.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows: by marking the height of the building walls to be monitored, regularly collecting and generating infrared thermal images, and using image processing algorithms to extract key data, a scientific basis is provided for the intelligent setting of energy-saving warning thresholds; in addition, based on the comprehensive analysis of historical infrared thermal images and wind data, energy-saving strategies can be dynamically adjusted to ensure timely response to environmental changes in actual operations; this not only improves the energy-saving efficiency of high-rise buildings, but also combines data-driven intelligent monitoring with traditional energy-saving technologies, thereby effectively solving the deficiencies commonly found in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0032] Figure 2 It is a schematic diagram of the overall system module flow of the present invention. DETAILED DESCRIPTION

[0033] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0034] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0035] Embodiment 1:

[0036] See also Figure 1 , the present invention provides a technical solution:

[0037] A method for improving energy saving of a building by detecting the temperature difference between inside and outside of a wall, the specific steps comprising:

[0038] Step S1: The building wall to be monitored is divided and marked according to the height to form a height sequence set {1, 2, ..., i, ..., n}, where i represents the i-th height partition, n represents the total number of height partitions, and the larger the value of i is, the higher the building wall is;

[0039] Step S2: regularly monitor the temperature difference between the inner and outer surfaces of the building wall at different height zones, as well as the temperature distribution of the ventilation windows, and generate corresponding infrared thermal maps to form historical infrared thermal map data; and in each regular monitoring, monitor the average wind force value data received by each height zone at different monitoring time periods to form historical wind force data;

[0040] Step S3: converting the infrared thermal image data into digital temperature data, and using an image processing algorithm to extract key data of the building wall at different height partitions, the key data including the wall inner surface temperature, the wall outer surface temperature, the heat flow and the temperature of the ventilation window;

[0041] Step S4: according to the historical infrared thermal image data and the historical wind data, setting the energy-saving warning threshold of each height partition in different monitoring time periods, and the standard threshold of the average wind value of the outer surface of each height partition in different monitoring time periods;

[0042] Step S5: monitor the inner surface temperature of the wall, the outer surface temperature of the wall, the heat flow, the temperature of the ventilation window and the average wind force value of the i-th height partition on the building wall in the current monitoring time period; if the average wind force value of the i-th height partition is greater than the corresponding standard threshold, provide an adjustment strategy for the energy-saving warning threshold of the current i-th height partition;

[0043] Step S6: Compare and analyze the wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature of the i-th height partition in the current monitoring time period with the energy-saving warning threshold adjusted in step S5, and comprehensively generate an adjustment index for adjusting the ventilation demand of the i-th height partition.

[0044] To further illustrate, forming a high degree sequence set {1,2,…,i,…,n} specifically includes:

[0045] 1.1) Determine the monitoring area of ​​the building wall to be monitored as the exterior and interior walls of the building;

[0046] For the buildings to be monitored, check their structure and external environment to determine the wall areas that need to be monitored; the monitoring areas are selected from the exterior and interior walls of the buildings to ensure that the wall areas with heat loss or excessive heat accumulation are covered;

[0047] 1.2) Divide the wall into n height zones evenly according to the overall height of the building;

[0048] The specific operations are:

[0049] Measure the total height H of the building and divide it into n equal-height partitions, each with a height of

[0050] Depending on the height of the building, 5 to 10 height zones are selected to ensure the precision of monitoring;

[0051] 1.3) Mark each height partition to form a height sequence set {1,2,…,i,…,n};

[0052] The marking method uses numerical labels, color coding or other forms of visual identification to enable clear identification during subsequent monitoring;

[0053] 1.4) Record the basic data of each partition, including the thermal conductivity of the wall material and external environmental conditions of each partition.

[0054] After completing the height partition marking, record the basic data of each partition, including:

[0055] The height hi of each partition; the building wall material of each partition and its thermal conductivity; the external environmental conditions including temperature and wind data.

[0056] Further explanation: historical infrared thermal map data, historical wind data, and different monitoring time periods include:

[0057] Obtain the daily variation pattern of the ambient temperature around the building wall, and determine the temperature variation range of the day as [T1, T2], where T1 and T2 are the lowest and highest temperatures of the day, respectively.

[0058] Keep the ambient temperature within the range The corresponding time period is taken as the early time period;

[0059] Keep the ambient temperature within the range The corresponding time period is taken as the middle time period;

[0060] Keep the ambient temperature within the range The corresponding time period is regarded as the late time period;

[0061] The morning, mid-day and evening time periods of each day are taken as monitoring time periods; the morning, mid-day and evening time periods are represented by r∈{1,2,3}, where 1, 2, and 3 represent the morning, mid-day and evening time periods, respectively;

[0062] Conduct several scheduled monitorings during the daily monitoring period; set the monitoring frequency of the infrared thermal imager to update the data every 5 seconds; store the infrared thermal image data of the scheduled monitoring; and use a wind sensor to collect wind data in each scheduled monitoring;

[0063] During the monitoring period, use an infrared thermal imager to conduct a comprehensive scan of the building wall. The specific operations are as follows:

[0064] At least five monitoring points are evenly distributed on each height partition of the building wall, with the monitoring points preferably being selected in the wall areas where heat loss or excessive heat accumulation exists; and infrared thermal images are collected for these monitoring points;

[0065] Monitor the temperature distribution of ventilation windows in each height partition to ensure the comprehensiveness of the horizontal and vertical temperature data of the windows; after completing the scan in each height partition, export the infrared thermal map data;

[0066] The monitored infrared heat map data is processed by built-in software to generate a clear infrared heat map; this heat map clearly shows the temperature difference of each height zone and the temperature distribution of the ventilation window, providing visual data for subsequent analysis;

[0067] Use the OpenCV library in MATLAB or Python to import and extract the generated infrared thermal map data, and finally generate the key data of the building wall at different height partitions; the specific steps are as follows:

[0068] Read pixel data from infrared thermal image data and convert it into temperature value;

[0069] Extract the temperature data of different height partitions into a two-dimensional array for subsequent analysis;

[0070] The temperature data is analyzed through image processing algorithms to extract key data, including:

[0071] Inner wall surface temperature: extract the temperature value from the two-dimensional array by setting the pixel position of the inner wall surface;

[0072] External wall surface temperature: extract the temperature value from the two-dimensional array by setting the pixel position of the external wall surface;

[0073] Heat flow: Based on the temperature difference between the inner and outer surfaces, the heat flow is calculated using the heat conduction formula;

[0074] Ventilation Window Temperature: Extract the temperature data of the ventilation window area from the infrared thermal image data.

[0075] The wall inner surface temperature, wall outer surface temperature, heat flux and ventilation window temperature of the ith height partition in the monitoring time period r are recorded as the average value T inside,i,r , T outside,i,r , Q wall,i,r ,CKT i,r ;

[0076] Q wall,i,r It is expressed by the following formula:

[0077]

[0078] Among them, k i is the thermal conductivity of the building wall material in the ith height partition, A i is the wall surface area of ​​the ith height partition, T inside,i,r and T outside,i,r are the inner and outer surface temperatures of the wall in the ith height partition, respectively, i is the wall thickness of the i-th height partition;

[0079] CKT i,r Specifically, it represents the average temperature of all ventilation windows in the i-th height partition in the monitoring time period r, CKT i,r The calculation formula is as follows:

[0080]

[0081] Among them, kT i,j,r represents the temperature value of the jth ventilation window in the i-th height partition during the monitoring period r, Ui is the total number of ventilation windows in the i-th height partition.

[0082] Further explanation: The setting of energy-saving warning threshold and standard threshold includes:

[0083] 4.1) Collect historical monitoring data and extract the T of the i-th height partition in the monitoring time period r inside,i,r , T outside,i,r , Q wall,i,r ,CKT i,r ; i∈{1,2,…,n};

[0084] Extract the historical average wind value W of the i-th height partition in the monitoring time period r from the historical wind data i,r ;

[0085] 4.2) Determine the energy-saving warning threshold and calculate the temperature difference between the inner and outer surfaces of the wall in the i-th height partition during the monitoring time period r;

[0086] ΔT i,r =T inside,i,r -T outside,i,r

[0087] Where, ΔT i,r is the temperature difference between the inner and outer surfaces of the ith height partition in the monitoring time period r;

[0088] According to the historical infrared thermal image data, the energy-saving warning threshold of the i-th height partition in the monitoring time period r is calculated as T th,i,r , the calculation formula is as follows:

[0089]

[0090] Where, ΔT i+1,r , ΔT i-1,r are the temperature differences of the inner and outer surfaces of the i+1 and i-1 height partitions adjacent to the upper and lower sides of the i-th height partition, respectively; i+1 and i-1 both belong to {1,2,…,n}; in this embodiment If ΔT i,r >T th,i,r , it means that there is a heat loss problem in this height partition;

[0091] 4.3) Based on the historical wind data, the standard threshold of the average wind value of the ith height partition during the monitoring period r is calculated as Among them, W i-1,r , W i+1,r Respectively represent the historical average wind force values ​​of the i+1 and i-1 height partitions above and below the i-th height partition, i+1 and i-1 both belong to {1,2,…,n}. The value is based on the wind speed analysis of the building environment. The higher the building height, the greater the wind force on the corresponding wall, so the wind force standard threshold will be increased accordingly.

[0092] Further explanation: if the average wind force value of the i-th height partition in the current monitoring time period r1 is greater than the corresponding standard threshold, r1∈{1,2,3}, then an adjustment strategy is provided for the energy-saving warning threshold of the current i-th height partition, specifically including:

[0093] If W i,r1 >W th,i,r1 ; Then the energy-saving warning threshold T for the i-th height partition in the current monitoring time period r1 th,i,r1 Make the following adjustments;

[0094]

[0095] If W i,r1 ≤W th,i,r1 ; then there is no need to set the energy-saving warning threshold T for the i-th height partition in the current monitoring time period r1 th,i,r1 Make adjustments;

[0096] T′ th,i,r1 =T th,i,r1

[0097] Among them, T′ th,i,r1 is the adjusted energy-saving warning threshold.

[0098] Further explanation: the generation of the adjustment index specifically includes:

[0099] Define the adjustment index of the i-th height partition in the current monitoring time period r1 as A i,r1 , the calculation formula is as follows:

[0100]

[0101] Among them, η1 is the adjustment coefficient, 0.01≤η1≤0.99, which is used to ensure A i,r1 The value range is (0,1);

[0102] ΔT i,r1 , Q wall,i,r1 ,CKT i,r1 , T′ th,i,r1 The value ranges are all standardized to the same scale and are limited to (0,1); in this embodiment, η1 is 0.5; η1 is adjusted and determined by the expert group through experimental data;

[0103] If A i,r1The value is in the interval (0, 0.25), which means that the wall insulation effect is good and the ventilation demand is low. It is recommended to maintain the existing ventilation status. The current ventilation window opening ratio is 0% to 10%;

[0104] Set ΔT respectively i,r1 , Q wall,i,r1 and CKT i,r1 The comparison threshold is determined by the expert group through experimental data;

[0105] If ΔT i,r1 , Q wall,i,r1 and CKT i,r1 Every time any value change in A exceeds the corresponding comparison threshold by 5%, A i,r The ventilation window opening ratio adjustment amount is increased accordingly by 2%, and the upper limit of the opening ratio adjustment is 10%. However, if it remains unchanged, the current ventilation state is maintained;

[0106] If A i,r1 The value is in the interval [0.25, 0.75), indicating that the wall insulation effect is average and ventilation needs to be increased to maintain energy efficiency. The current ventilation window opening ratio is 10% to 50%;

[0107] If ΔT i,r1 , Q wall,i,r1 and CKT i,r1 Any change in any value is 8% of the corresponding comparison threshold. For every 8% change, the ventilation window opening ratio needs to be increased to 6%; the upper limit of the opening ratio adjustment is 50%;

[0108] If A i,r1 The value is in the interval (0.75,1), indicating that the wall insulation effect is poor and ventilation needs to be further increased to avoid increased energy consumption. The current ventilation window opening ratio is 50% to 100%.

[0109] If ΔT i,r1 , Q wall,i,r1 and CKT i,r1 Any change in the value is 13% of the corresponding comparison threshold. For every 13% change, the ventilation window opening ratio needs to be increased to 12%; the upper limit of the opening ratio adjustment is 100%.

[0110] Embodiment 2:

[0111] See also Figure 2 , a system for improving energy saving of a building by detecting the temperature difference between inside and outside of a wall, the system is used to execute the method for improving energy saving of a building by detecting the temperature difference between inside and outside of a wall, comprising:

[0112] Division and marking module: used to divide and mark the monitored building walls according to their heights to form a height sequence set {1, 2, ..., i, ..., n}, where i represents the i-th height partition, n represents the total number of height partitions, and the larger the value of i, the higher the building wall;

[0113] Historical data generation module: used to regularly monitor the temperature difference between the inner and outer surfaces of the building wall at different height zones, as well as the temperature distribution of the ventilation windows, and generate corresponding infrared thermal maps to form historical infrared thermal map data; and in each regular monitoring, monitor the average wind force value data of each height zone in different monitoring time periods to form historical wind force data;

[0114] Extraction module: used to convert infrared thermal image data into digital temperature data, and use image processing algorithms to extract key data of building walls at different height partitions, including wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature;

[0115] Threshold setting module: used to set the energy-saving warning threshold of each height partition in different monitoring time periods according to historical infrared thermal image data and historical wind data, as well as the standard threshold of the average wind value of the outer surface of each height partition in different monitoring time periods;

[0116] Adjustment strategy generation module: used to monitor the inner surface temperature of the wall, the outer surface temperature of the wall, the heat flow, the temperature of the ventilation window and the average wind force value of the i-th height partition on the building wall during the current monitoring period; if the average wind force value of the i-th height partition is greater than the corresponding standard threshold, an adjustment strategy is provided for the energy-saving warning threshold of the current i-th height partition;

[0117] Adjustment index generation module: used to compare and analyze the wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature of the i-th height partition in the current monitoring time period with the corresponding energy-saving warning threshold, and comprehensively generate an adjustment index for adjusting the ventilation demand of the i-th height partition.

[0118] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0119] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0120] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0121] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for improving building energy saving by detecting the temperature difference between inside and outside of a wall, characterized in that: The specific steps include: Step S1: The building wall to be monitored is divided and marked according to the height to form a height sequence set {1, 2, ..., i, ..., n}, where i represents the i-th height partition, n represents the total number of height partitions, and the larger the value of i is, the higher the building wall is; Step S2: regularly monitor the temperature difference between the inner and outer surfaces of the building wall at different height zones, as well as the temperature distribution of the ventilation windows, and generate corresponding infrared thermal maps to form historical infrared thermal map data; and in each regular monitoring, monitor the average wind force value data received by each height zone at different monitoring time periods to form historical wind force data; Step S3: converting the infrared thermal image data into digital temperature data, and using an image processing algorithm to extract key data of the building wall at different height partitions, the key data including the wall inner surface temperature, the wall outer surface temperature, the heat flow and the temperature of the ventilation window; Step S4: according to the historical infrared thermal image data and the historical wind data, setting the energy-saving warning threshold of each height partition in different monitoring time periods, and the standard threshold of the average wind value of the outer surface of each height partition in different monitoring time periods; Step S5: monitor the inner surface temperature of the wall, the outer surface temperature of the wall, the heat flow, the temperature of the ventilation window and the average wind force value of the i-th height partition on the building wall in the current monitoring time period; if the average wind force value of the i-th height partition is greater than the corresponding standard threshold, provide an adjustment strategy for the energy-saving warning threshold of the current i-th height partition; Step S6: Compare and analyze the wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature of the i-th height partition in the current monitoring time period with the energy-saving warning threshold adjusted in step S5, and comprehensively generate an adjustment index for adjusting the ventilation demand of the i-th height partition.

2. The method for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall according to claim 1, characterized in that: 1.1) Determine the monitoring area of ​​the building wall to be monitored as the exterior and interior walls of the building; 1.2) Divide the wall into n height zones evenly according to the overall height of the building; 1.3) Mark each height partition to form a height sequence set {1,2,…,i,…,n}; 1.4) Record the basic data of each partition, including the thermal conductivity of the wall material and external environmental conditions of each partition.

3. The method for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall according to claim 2, characterized in that: Historical infrared thermal map data, historical wind data, and different monitoring time periods, including: Obtain the daily variation pattern of the ambient temperature around the building wall, and determine the temperature variation range of the day as [T1, T2], where T1 and T2 are the lowest and highest temperatures of the day, respectively. Set the ambient temperature in the range The corresponding time period is taken as the early time period; Set the ambient temperature in the range The corresponding time period is taken as the middle time period; Set the ambient temperature in the range The corresponding time period is regarded as the late time period; The morning, mid-day and evening time periods of each day are taken as monitoring time periods; the morning, mid-day and evening time periods are represented by r∈{1,2,3}, where 1, 2, and 3 represent the morning, mid-day and evening time periods, respectively; Conduct several scheduled monitorings during the daily monitoring period; and store the infrared thermal image data of the scheduled monitoring; The wall inner surface temperature, wall outer surface temperature, heat flux and ventilation window temperature of the ith height partition in the monitoring time period r are recorded as the average value T inside,i,r 、T outside,i,r , Q wall,i,r CKT i,r ; Q wall,i,r It is expressed by the following formula: Among them, k i is the thermal conductivity of the building wall material in the ith height partition, A i is the wall surface area of ​​the ith height partition, T inside,i,r and T outside,i,r are the inner and outer surface temperatures of the wall in the i-th height partition in the monitoring time period r, d i is the wall thickness of the i-th height partition; CKT i,r Specifically, it represents the average temperature of all ventilation windows in the i-th height partition in the monitoring time period r, CKT i,r The calculation formula is as follows: Among them, kT i,j,r represents the temperature value of the jth ventilation window in the i-th height partition during the monitoring period r, U i is the total number of ventilation windows in the i-th height partition. Use the OpenCV library in MATLAB or Python to import and extract the generated infrared thermal map data, and finally generate key data of the building wall at different height partitions.

4. The method for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall according to claim 3, characterized in that: The setting of energy-saving warning threshold and standard threshold includes: Collect historical monitoring data and extract the T of the i-th height partition in the monitoring time period r inside,i,r , T outside,i,r , Q wall,i,r ,CKT i,r ; i∈{1,2,…,n}; Extract the historical average wind value W of the ith height partition in the monitoring time period r from the historical wind data i,r ; Determine the energy-saving warning threshold and calculate the temperature difference between the inner and outer surfaces of the wall in the i-th height partition during the monitoring period r; ΔT i,r =T inside,i,r -T outside,i,r Where, ΔT i,r is the temperature difference between the inner and outer surfaces of the ith height partition in the monitoring time period r; According to the historical infrared thermal image data, the energy-saving warning threshold of the i-th height partition in the monitoring time period r is calculated as T th,i,r , the calculation formula is as follows: Where, ΔT i+1,r , ΔT i-1,r are the temperature differences of the inner and outer surfaces of the i+1 and i-1 height partitions above and below the i-th height partition, respectively; i+1 and i-1 both belong to {1,2,…,n}; According to the historical wind data, the standard threshold of the average wind value of the i-th height partition during the monitoring period r is calculated as Among them, W i-1,r , W i+1,r They represent the historical average wind values ​​of the i+1 and i-1 height partitions above and below the i-th height partition, respectively, and i+1 and i-1 both belong to {1,2,…,n}.

5. The method for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall according to claim 4, characterized in that: If the average wind force value of the i-th height partition in the current monitoring time period r1 is greater than the corresponding standard threshold, r1∈{1,2,3}, then an adjustment strategy is provided for the energy-saving warning threshold of the current i-th height partition, specifically including: If W i,r1 >W th,i,r1 ; Then the energy-saving warning threshold T for the i-th height partition in the current monitoring time period r1 th,i,r1 Make the following adjustments; If W i,r1 ≤W th,i,r1 ; then there is no need to set the energy-saving warning threshold T for the i-th height partition in the current monitoring time period r1 th,i,r1 Make adjustments; T′ th,i,r1 =T th,i,r1 Among them, T′ th,i,r1 is the adjusted energy-saving warning threshold.

6. The method for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall according to claim 5, characterized in that: The generation of the adjustment index includes: Define the adjustment index of the i-th height partition in the current monitoring time period r1 as A i,r1 , the calculation formula is as follows: Among them, η1 is the adjustment coefficient, 0.01≤η1≤0.99, which is used to ensure A i,r1 The value range is (0,1); ΔT i,r1 , Q wall,i,r1 ,CKT i,r1 , T′ th,i,r1 The value ranges are all standardized to the same scale and are limited to (0,1); If A i,r1 The value is in the interval (0, 0.25), which means that the wall insulation effect is good and the ventilation demand is low. It is recommended to maintain the existing ventilation status. The current ventilation window opening ratio is 0% to 10%; If A i,r1 The value is in the interval [0.25, 0.75), indicating that the wall insulation effect is average and ventilation needs to be increased to maintain energy efficiency. The current ventilation window opening ratio is 10% to 50%; If A i,r1 The value is in the interval (0.75, 1), indicating that the wall insulation effect is poor and ventilation needs to be further increased to avoid increased building energy consumption. The current ventilation window opening ratio is 50% to 100%.

7. A system for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall, characterized in that: The system is used to execute the method for improving energy saving of a building by detecting the temperature difference between the inside and outside of a wall as described in any one of claims 1 to 6, comprising: Division and marking module: used to divide and mark the monitored building walls according to their heights to form a height sequence set {1, 2, ..., i, ..., n}, where i represents the i-th height partition, n represents the total number of height partitions, and the larger the value of i, the higher the building wall; Historical data generation module: used to regularly monitor the temperature difference between the inner and outer surfaces of the building wall at different height zones, as well as the temperature distribution of the ventilation windows, and generate corresponding infrared thermal maps to form historical infrared thermal map data; and in each regular monitoring, monitor the average wind force value data of each height zone in different monitoring time periods to form historical wind force data; Extraction module: used to convert infrared thermal image data into digital temperature data, and use image processing algorithms to extract key data of building walls at different height partitions, including wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature; Threshold setting module: used to set the energy-saving warning threshold of each height partition in different monitoring time periods according to historical infrared thermal image data and historical wind data, as well as the standard threshold of the average wind value of the outer surface of each height partition in different monitoring time periods; Adjustment strategy generation module: used to monitor the inner surface temperature of the wall, the outer surface temperature of the wall, the heat flow, the temperature of the ventilation window and the average wind force value of the i-th height partition on the building wall during the current monitoring period; if the average wind force value of the i-th height partition is greater than the corresponding standard threshold, an adjustment strategy is provided for the energy-saving warning threshold of the current i-th height partition; Adjustment index generation module: used to compare and analyze the wall inner surface temperature, wall outer surface temperature, heat flow and ventilation window temperature of the i-th height partition in the current monitoring time period with the corresponding energy-saving warning threshold, and comprehensively generate an adjustment index for adjusting the ventilation demand of the i-th height partition.

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