Apparatus for Analyzing Heat Loss of Building Walls and Controllimg Energy Saving Using Artificial Intelligence

Abstract

The AI-based building wall heat loss analysis and energy saving control device analyzes heat loss in building walls using AI based on video images and indoor / outdoor environmental information, and can reduce the energy consumption of a building by automatically controlling the heating, cooling, and air conditioning equipment in conjunction with the analyzed heat loss results in the heating and cooling control zones and the Building Management System (BMS). The present invention analyzes heat loss of a building wall after correcting for the influence of environmental conditions by utilizing thermal images and indoor and outdoor environmental information together, thereby effectively distinguishing between normal temperature changes caused by external environmental changes and actual heat loss, and improving the accuracy of heat loss analysis.

Description

Technology Field

[0001] The present invention relates to an energy-saving control device for buildings, and more specifically, to an AI-based analysis of heat loss in building walls and an energy-saving control device capable of reducing energy consumption in buildings by analyzing heat loss in building walls using artificial intelligence (AI) based on image data and indoor / outdoor environmental information, and automatically controlling heating, cooling, and air conditioning equipment by linking the analyzed heat loss results with heating and cooling control zones and a Building Management System (BMS). Background Technology

[0003] Recently, various energy management technologies are being developed to reduce energy consumption in buildings, and in particular, the utilization of Building Energy Management Systems (BEMS) and Building Management Systems (BMS) is increasing to improve the operational efficiency of heating, cooling, and air conditioning (HVAC) facilities.

[0004] The energy consumption for heating and cooling in buildings is significantly affected by heat loss occurring in walls, windows, and structural joints.

[0005] Therefore, technology is required to accurately analyze heat loss in buildings and efficiently control heating and cooling systems based on this analysis.

[0006] Conventionally, technology was used that captured the surface temperature of a building using a thermal imaging camera and simply identified areas with relatively high or low temperatures as heat loss areas.

[0007] However, since these technologies fail to adequately account for normal temperature changes caused by environmental conditions such as ambient temperature, indoor-outdoor temperature difference, solar radiation, wind speed, and humidity, there was a problem in clearly distinguishing between actual heat loss and environmental effects.

[0008] Furthermore, conventional technologies often remain at the level of simply detecting heat loss, and there has been a lack of closed-loop integrated control technology capable of analyzing energy consumption by linking the detected heat loss results with actual heating and cooling control zones, or automatically controlling HVAC equipment and reflecting the results in subsequent control.

[0009] Therefore, there is a need to develop technology that can more accurately analyze the actual heat loss of buildings by considering environmental conditions, automatically control heating and cooling equipment using the analysis results, and continuously provide feedback on the control results to improve energy saving efficiency. Prior art literature

[0011] Korean Patent Publication No. 10-2025-0080075 (Publication Date: June 5, 2025), Title of Invention: "Method for Measuring Thermal Energy Loss" The problem to be solved

[0012] To address the problems and needs of the conventional technology described above, the present invention aims to provide an AI-based building wall heat loss analysis and energy saving control device capable of reducing building energy consumption by analyzing heat loss in building walls using AI based on image data and indoor / outdoor environmental information, and automatically controlling heating, cooling, and air conditioning equipment by linking the analyzed heat loss results with a heating and cooling control zone and a Building Management System (BMS). means of solving the problem

[0014] The artificial intelligence (AI)-based building wall heat loss analysis and energy saving control device (10) of the present invention for achieving the above purpose is,

[0015] A wall heat information acquisition device (100) that captures a wall of a building to acquire a thermal image, extracts wall surface temperature information from the thermal image, acquires indoor and outdoor environment information, and generates wall heat information data by synchronizing the thermal image, the wall surface temperature information, and the indoor and outdoor environment information based on time information and location information;

[0016] AI wall heat loss analysis device (200) that receives the above wall heat information data, recognizes the wall area to be analyzed in the above thermal image using an artificial intelligence-based object detection model or an image segmentation model, generates thermal characteristic information of the above wall area, corrects the influence of environmental conditions included in the thermal characteristic information based on the above indoor and outdoor environment information, and then generates wall heat loss analysis data including at least one of the heat loss location, heat loss area, and degree of heat loss of the above wall area;

[0017] An energy saving control server (300) that receives the above wall heat loss analysis data, matches the wall area where heat loss has occurred with the heating and cooling control zone of the building, analyzes the effect of the heat loss of the wall area on the heating and cooling load and energy consumption of the heating and cooling control zone, determines energy saving control conditions to reduce energy consumption while maintaining the indoor environment of the heating and cooling control zone within a preset allowable range, and generates equipment control command data based on the energy saving control conditions; and

[0018] The building equipment control device (400) receives the above equipment control command data, controls at least one of the set temperature, heating / cooling output, airflow, operating time, and operating mode of the heating / cooling air conditioning equipment or building management system corresponding to the heating / cooling control zone, collects the equipment operating status and energy consumption status after control to generate control result data, and feeds the control result data to the energy saving control server (300).

[0019] The energy saving control server (300) is characterized by evaluating the appropriateness of the energy saving control conditions based on the control result data and correcting the energy saving control conditions of the subsequent control cycle according to the evaluation result. Effects of the invention

[0021] The present invention, configured as described above, analyzes the heat loss of a building wall after correcting for the influence of environmental conditions by utilizing thermal images and indoor and outdoor environmental information together, thereby effectively distinguishing between normal temperature changes caused by external environmental changes and actual heat loss, and improving the accuracy of heat loss analysis.

[0022] The present invention can improve the operating efficiency of the heating and cooling air conditioning system and reduce the energy consumption of the building by analyzing the heating and cooling load and energy consumption in conjunction with the analyzed wall heat loss information and the heating and cooling control zone of the building, and by generating optimal energy saving control conditions based thereon.

[0023] The present invention enables the implementation of closed-loop control that corrects control conditions in subsequent control cycles by continuously collecting actual operation results and energy consumption status of heating, cooling, and air conditioning equipment and feeding back control results, thereby ensuring continuous energy saving performance while actively responding to changes in the operating environment of a building.

[0024] Since this invention can be applied in conjunction with existing Building Management Systems (BMS) and Heating, Ventilation, and Air Conditioning (HVAC) facilities, it can be applied to various buildings without separate large-scale facility modifications, and has the effect of simultaneously realizing improved energy efficiency and automation of maintenance. Brief explanation of the drawing

[0026] FIG. 1 is a diagram showing the configuration of a building wall heat loss analysis and energy saving control device using artificial intelligence (AI) according to an embodiment of the present invention, and FIG. 2 is a diagram showing the configuration of a wall heat information acquisition device according to an embodiment of the present invention, and FIG. 3 is a diagram showing the configuration of an AI wall heat loss analysis device according to an embodiment of the present invention, and FIG. 4 is a diagram showing the configuration of an energy saving control server according to an embodiment of the present invention, and and FIG. 5 is a diagram showing the configuration of a building facility control device according to an embodiment of the present invention. Specific details for implementing the invention

[0027] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0028] Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0029] Conventional technologies often remain at the level of simply detecting heat loss, and there has been a lack of closed-loop integrated control technology capable of analyzing energy consumption by linking detected heat loss results with actual heating and cooling control zones, or automatically controlling HVAC equipment and reflecting the results in subsequent control.

[0030] To solve these problems, the present invention provides an artificial intelligence (AI)-based analysis of heat loss in building walls and an energy saving control device.

[0031] FIG. 1 is a diagram showing the configuration of a building wall heat loss analysis and energy saving control device using artificial intelligence (AI) according to an embodiment of the present invention.

[0032] The artificial intelligence (AI)-based building wall heat loss analysis and energy saving control device (10) according to an embodiment of the present invention may include a wall heat information acquisition device (100), an AI wall heat loss analysis device (200), an energy saving control server (300), and a building equipment control device (400).

[0033] The wall heat information acquisition device (100), the AI ​​wall heat loss analysis device (200), the energy saving control server (300), and the building equipment control device (400) can be connected to each other so as to communicate through a communication network (101).

[0034] The communication network (101) may include at least one of a wired communication network, a wireless communication network, the internet, an intranet, a local area network (LAN), a wireless local area network (WLAN), Wi-Fi, Bluetooth, Zigbee, LoRa, LTE, and 5G, and may also include a communication method such as BACnet or Modbus for communication with a Building Management System (BMS) or heating and cooling air conditioning equipment installed in a building.

[0035] However, each device according to the embodiment of the present invention is not necessarily limited to being composed of independent devices that are physically separated from one another. For example, the AI ​​wall heat loss analysis device (200) and the energy saving control server (300) may be implemented by being integrated into a single server or computing device, and some functions of each device may be implemented by being distributed to an edge computing device installed on-site or to a remote server.

[0036] In an embodiment of the present invention, a wall heat information acquisition device (100) generates wall heat information data from the wall of a building and the indoor and outdoor environment, an AI wall heat loss analysis device (200) receives the wall heat information data and generates wall heat loss analysis data, an energy saving control server (300) receives the wall heat loss analysis data and generates equipment control command data, and a building equipment control device (400) receives the equipment control command data, controls the actual heating and cooling air conditioning equipment, and generates control result data.

[0037] In this way, the output value generated by the preceding device can be used as the input value of the subsequent device, and the control result data generated by the building equipment control device (400) can be fed back to the energy saving control server (300) and used for subsequent control.

[0038] A wall heat information acquisition device (100) can acquire thermal images and wall surface temperature information by photographing a wall of a building, and can generate wall heat information data by combining environmental information such as indoor and outdoor temperature, humidity, solar radiation and wind speed.

[0039] The AI ​​wall heat loss analysis device (200) receives wall heat information data from the wall heat information acquisition device (100), recognizes wall areas using artificial intelligence, and corrects for the influence of environmental conditions to generate wall heat loss analysis data including the location of heat loss, degree of heat loss, and heat loss index for each wall area.

[0040] The energy saving control server (300) receives wall heat loss analysis data from the AI ​​wall heat loss analysis device (200), matches the heat loss area with the heating and cooling control area, and analyzes the heating and cooling load and energy loss to generate equipment control command data for energy saving.

[0041] The building equipment control device (400) receives equipment control command data from the energy saving control server (300), controls the heating and cooling air conditioning equipment or the building management system according to the command, and generates control result data including the equipment operation status and energy consumption status after control and feeds it back to the energy saving control server (300).

[0042] FIG. 2 is a diagram showing the configuration of a wall heat information acquisition device according to an embodiment of the present invention.

[0043] A wall heat information acquisition device (100) can acquire thermal image information from a wall subject to analysis of a building, acquire indoor and outdoor environmental information that affects the thermal state of the wall, and link the acquired information together to generate wall heat information data used for AI-based wall heat loss analysis. Here, the wall heat information data may be analysis data that integrates the thermal state of the wall of the building and environmental information required for heat loss analysis into a single data structure.

[0044] A wall heat information acquisition device (100) according to an embodiment of the present invention may include a thermal imaging unit (110), a surface temperature extraction unit (120), an environment information acquisition unit (130), a data synchronization unit (140), and a wall heat information generation unit (150).

[0045] The thermal imaging unit (110) receives infrared energy emitted from the wall of the building to be analyzed, detects the intensity and spatial distribution of the infrared energy, and can generate a thermal image corresponding to the surface temperature distribution of the building wall.

[0046] The thermal imaging unit (110) may include at least one thermal imaging camera installed to photograph the outer or inner wall of a building. The thermal imaging unit (110) can repeatedly photograph a wall at regular time intervals, and accordingly, can obtain not only the heat distribution of the wall at a specific point in time but also changes in the heat distribution of the wall over time.

[0047] The thermal imaging unit (110) can transmit the acquired thermal image to the surface temperature extraction unit (120).

[0048] The surface temperature extraction unit (120) receives a thermal image from the thermal imaging unit (110) and analyzes the radiation information per pixel included in the thermal image to extract a surface temperature value corresponding to each pixel or a preset analysis area.

[0049] The surface temperature extraction unit (120) can generate wall surface temperature information representing the temperature distribution according to the location of the wall by calculating a temperature value corresponding to each pixel of the thermal image.

[0050] The surface temperature extraction unit (120) may generate temporal change information of the wall surface temperature using a plurality of thermal images acquired over time at the same location.

[0051] The surface temperature extraction unit (120) can transmit the generated wall surface temperature information to the data synchronization unit (140).

[0052] The environmental information acquisition unit (130) can receive indoor and outdoor environmental conditions that affect the thermal condition of the building wall, and can generate environmental information by measuring or collecting them.

[0053] The environmental information acquisition unit (130) may include at least one of a temperature sensor, a humidity sensor, a solar radiation sensor, and a wind speed sensor installed inside or outside the building. The environmental information acquisition unit (130) may acquire environmental information including at least one of indoor temperature, outdoor temperature, indoor humidity, outdoor humidity, solar radiation, and wind speed.

[0054] In addition, the environmental information acquisition unit (130) may not only measure environmental information using a direct sensor but also receive necessary environmental information from an external weather information provision system.

[0055] The environment information acquisition unit (130) can transmit the acquired environment information to the data synchronization unit (140).

[0056] The data synchronization unit (140) can receive a thermal image obtained from the thermal imaging unit (110), wall surface temperature information generated from the surface temperature extraction unit (120), and environmental information generated from the environmental information acquisition unit (130).

[0057] The data synchronization unit (140) can synchronize thermal images, wall surface temperature information, and environmental information obtained at the same time or a preset time range using time information and location information included in or corresponding to each input information.

[0058] When there are multiple walls or multiple shooting locations, the data synchronization unit (140) can use shooting location information or wall identification information to correspond each thermal image with the environment information of the corresponding wall.

[0059] Accordingly, the data synchronization unit (140) can generate synchronized thermal information in which a thermal image corresponding to a specific point in time of a specific wall, wall surface temperature information, and environmental information are linked together, and transmit the generated synchronized thermal information to the wall thermal information generation unit (150).

[0060] The wall heat information generation unit (150) receives synchronized heat information from the data synchronization unit (140) and can convert the synchronized heat information into a data structure that can be processed by the AI ​​wall heat loss analysis device (200).

[0061] The wall heat information generation unit (150) can generate wall heat information data by structuring at least one of a thermal image, wall surface temperature information, environment information, shooting time information, and shooting location information into a single analysis unit. For example, the wall heat information data may include at least one of a thermal image, wall surface temperature information, indoor temperature, outdoor temperature, indoor humidity, outdoor humidity, solar radiation, wind speed, shooting time information, shooting location information, and wall identification information.

[0062] The wall heat information data generated in the wall heat information generation unit (150) can be transmitted to the AI ​​wall heat loss analysis device (200) via the communication network (10) as the final output value of the wall heat information acquisition device (100).

[0063] FIG. 3 is a diagram showing the configuration of an AI wall heat loss analysis device according to an embodiment of the present invention.

[0064] The AI ​​wall heat loss analysis device (200) receives wall heat information data from the wall heat information acquisition device (100), recognizes the area of ​​the wall to be analyzed using artificial intelligence, generates thermal characteristics for each area of ​​the wall, and can analyze the heat loss state of the wall by correcting for the influence of environmental conditions.

[0065] An AI wall heat loss analysis device (200) according to an embodiment of the present invention may include an image preprocessing unit (210), a wall area recognition unit (220), a thermal characteristic information generation unit (230), an environmental influence correction unit (240), and a heat loss analysis unit (250).

[0066] The image preprocessing unit (210) receives wall heat information data from the wall heat information acquisition device (100) and can perform preprocessing on the thermal image included in the wall heat information data.

[0067] The image preprocessing unit (210) can remove sensor noise included in the thermal image, correct image distortion caused by the shooting position or shooting angle, and normalize the resolution and temperature expression range of the thermal image taken at different points in time.

[0068] Accordingly, the image preprocessing unit (210) can generate preprocessed wall heat information data that is corrected to be suitable for artificial intelligence-based image analysis, and transmit the generated preprocessed wall heat information data to the wall area recognition unit (220).

[0069] The wall area recognition unit (220) receives preprocessed wall thermal information data from the image preprocessing unit (210) and can detect building constituent objects included in the thermal image using an artificial intelligence-based object detection model or an image segmentation model.

[0070] The wall area recognition unit (220) can recognize at least one of a wall, a window, a door, a column, a ceiling, and a wall joint, and determine the location and boundary of the wall to be subject to heat loss analysis. For example, the wall area recognition unit (220) can detect an area where a wall exists using an object detection model, or distinguish between a wall area and a non-wall area at the pixel level of a thermal image using an image segmentation model.

[0071] The wall area recognition unit (220) may divide the wall to be analyzed into multiple detailed areas, such as a general wall area, a window area, a wall joint area, or a structural joint area.

[0072] The wall area recognition unit (220) can generate wall area information including the location, boundary, and area information of the recognized wall, and transmit the generated wall area information to the thermal characteristic information generation unit (230).

[0073] The thermal characteristic information generation unit (230) receives wall area information from the wall area recognition unit (220) and can analyze the thermal characteristics of each wall area by correlating the wall area information with the wall surface temperature information included in the wall heat information data.

[0074] The thermal characteristic information generation unit (230) can calculate at least one of the average surface temperature, maximum surface temperature, minimum surface temperature, temperature deviation within the area, temperature difference with adjacent areas, and change in surface temperature over time for each wall area.

[0075] Accordingly, the thermal characteristic information generation unit (230) can generate thermal characteristic information for each wall area that can analyze not only the overall average temperature of the wall but also the temperature anomalies occurring locally at specific locations.

[0076] The thermal characteristic information generation unit (230) can transmit the generated thermal characteristic information for each wall area to the environmental influence correction unit (240).

[0077] The environmental influence correction unit (240) receives thermal characteristic information for each wall area from the thermal characteristic information generation unit (230) and can correct normal temperature changes of the wall caused by the external environment or indoor environment using the environmental information included in the wall thermal information data.

[0078] For example, even for the same wall, the surface temperature can vary depending on the ambient temperature, indoor temperature, solar radiation, humidity, or wind speed. Therefore, if an area is determined to be a heat loss area solely because a temperature different from the surrounding area is detected in a thermal image, there is a possibility of misidentifying normal temperature changes caused by solar radiation or changes in ambient temperature as heat loss.

[0079] The environmental influence correction unit (240) can analyze the relationship between at least one of the indoor-outdoor temperature difference, solar radiation, humidity, and wind speed and the thermal characteristic information for each wall area, and correct the temperature change component caused by environmental conditions.

[0080] Accordingly, the environmental influence correction unit (240) can generate environmentally corrected thermal characteristic information that reduces the influence of environmental conditions and transmit the generated environmentally corrected thermal characteristic information to the heat loss analysis unit (250).

[0081] The environmental influence correction unit (240) receives thermal characteristic information for each wall area from the thermal characteristic information generation unit (230) and uses the environmental information obtained from the wall heat information acquisition device (100) to produce an environmental correction thermal anomaly for each wall area according to Equation 1. It can be calculated. Mathematical formula 1 may be a formula for calculating the difference between the current surface temperature of the wall area to be analyzed and the reference surface temperature of a steady state, and for calculating the environmentally corrected thermal anomaly by reflecting the indoor-outdoor temperature difference, solar radiation effect, and wind speed effect that may affect the temperature difference.

[0082]

[0083] Here, is the environment-corrected thermal anomaly of the i-th wall region, and is the current surface temperature of the i-th wall region, and is the reference surface temperature corresponding to the steady state of the i-th wall region, and ε is the temperature difference between the indoor temperature and the outdoor temperature, S is the solar radiation effect value, V is the wind speed effect value, and is a solar radiation weighting factor for adjusting the degree of reflection of solar radiation influence values, and is a wind speed weighting factor for adjusting the degree of reflection of wind speed influence values, and is a preset positive constant to prevent the denominator from becoming zero or approaching zero, and i represents an index for identifying one of the multiple wall regions separated by the wall region recognition unit (220).

[0084] may be a value that corrects the degree of temperature anomaly occurring in the i-th wall area by considering environmental conditions such as indoor-outdoor temperature difference, solar radiation, and wind speed.

[0085] The environmental influence correction unit (240) can calculate an environmentally corrected thermal anomaly by taking into account environmental influences, even if the difference between the current surface temperature of the wall and the normal state reference surface temperature is large, such as when the temperature difference is caused by external environmental factors like a large indoor-outdoor temperature difference, strong solar radiation, or high wind speed.

[0086] The environmental impact correction unit (240) is calculated by mathematical formula 1 It can be included in the environment correction thermal characteristic information and output to the heat loss analysis unit (250).

[0087] It can be obtained based on a thermal image obtained from a thermal imaging unit (110) and pixel-by-pixel surface temperature information extracted from a surface temperature extraction unit (120).

[0088] Specifically, the wall area recognition unit (220) determines the i-th wall area to be analyzed in the thermal image, and the thermal characteristic information generation unit (230) can extract surface temperature values ​​corresponding to a plurality of pixels included in the wall area. The thermal characteristic information generation unit (230) can obtain an average value, a median value, or a representative value of the extracted plurality of surface temperature values. It can be determined as follows. For example, if the average surface temperature of multiple pixels included in the i-th wall area is 16.5 degrees, It can be set to 16.5 degrees.

[0089] can represent the expected reference surface temperature when the i-th wall region is in a normal thermal state.

[0090] It can be set based on surface temperature information acquired during normal periods in the same wall area where no heat loss anomalies occurred in the past. For example, the average or median of steady-state surface temperature values ​​repeatedly measured in the same season, under similar indoor and outdoor temperature conditions, or at similar times. It can be set to.

[0091] thus, It is not limited to a single fixed temperature value, but can be set as a dynamic reference value that changes according to the season, time of day, and indoor / outdoor environmental conditions.

[0092] The difference between the indoor temperature and the outdoor temperature can be indicated, and the indoor temperature and the outdoor temperature can be measured by an indoor temperature sensor and an outdoor temperature sensor, respectively, included in the environment information acquisition unit (130). According to the embodiment, the outdoor temperature may also be obtained from an external weather information providing system.

[0093] S may be a solar radiation effect value indicating the degree to which the surface temperature of the wall under analysis changes due to solar radiation.

[0094] S can be obtained based on solar radiation measured by a solar radiation sensor installed on the exterior of the building.

[0095] V may be a wind speed influence value representing the effect of convective heat transfer occurring on the wall surface due to external wind.

[0096] V can be obtained based on the current wind speed measured by a wind speed sensor installed outside the building.

[0097] The solar radiation influence value S is the environmentally corrected thermal anomaly It may be a solar irradiance weighting factor to adjust the magnitude of the influence on the output.

[0098] It can be experimentally pre-set. For example, it can be set by collecting multiple thermal imaging data under different solar irradiance conditions for the same wall and analyzing the relationship between changes in solar irradiance and changes in the wall surface temperature.

[0099] The wind speed influence value V is the environmentally corrected thermal anomaly It may be a wind speed weighting factor for adjusting the magnitude of the influence on the output.

[0100] It can be experimentally established using wall surface temperature data measured under different wind speed conditions. For example, by analyzing the degree of change in wall surface temperature due to changes in wind speed and responding to that degree of change You can set it.

[0101] The heat loss analysis unit (250) receives environmental correction heat characteristic information from the environmental impact correction unit (240) and can analyze the heat loss status of the wall by location or area using an artificial intelligence-based heat loss analysis model.

[0102] The heat loss analysis unit (250) can detect a heat loss area by comparing a standard heat distribution pattern appearing in a normal state wall with an environment-corrected heat distribution pattern appearing in a current wall, or by inputting environment-corrected heat characteristic information into an artificial intelligence model that has learned multiple normal and heat loss cases.

[0103] The heat loss analysis unit (250) can analyze the location, area, temperature difference from surrounding areas, and degree of heat loss of the heat loss area for the detected heat loss area.

[0104] The heat loss analysis unit (250) can classify the analyzed degree of heat loss into heat loss grades such as normal, interest, caution, or danger according to preset criteria.

[0105] Accordingly, the heat loss analysis unit (250) can generate wall heat loss analysis data including at least one of location information of the heat loss area, area information, temperature difference information, degree of heat loss, and heat loss grade.

[0106] The heat loss analysis unit (250) can transmit the generated wall heat loss analysis data to the energy saving control server (300) via the communication network (101) as the final output value of the AI ​​wall heat loss analysis device (200).

[0107] The heat loss analysis unit (250) calculates the environmentally corrected heat anomaly from the environmental impact correction unit (240) by mathematical formula 1. Receives input, and the area of ​​the candidate heat loss region and area of ​​all walls subject to analysis After obtaining, the wall heat loss index of the i-th wall region according to the following mathematical formula 2 It can be calculated. Equation 2 can calculate the wall heat loss index of the corresponding wall area by reflecting the area ratio of the heat loss candidate area to the total wall area under analysis in the environment-corrected thermal anomaly of the i-th wall area calculated by Equation 1.

[0108]

[0109] Here, is the wall heat loss index of the i-th wall region, and is the environmentally corrected thermal anomaly of the i-th wall area calculated by mathematical formula 1, and is the area of ​​the i-th loss candidate region, and is the area of ​​the entire wall subject to analysis, and represents an area weighting factor for adjusting the effect of the area ratio of candidate heat loss regions on the wall heat loss index.

[0110] The heat loss analysis unit (250) is an environment-corrected heat anomaly calculated from mathematical formula 1. The wall heat loss index is determined not solely based on the degree of heat loss in the wall, but by considering the spatial size of the area where thermal anomalies occur. It can produce.

[0111] For example, identical or similar environmentally corrected thermal anomalies in two different wall regions Even if calculated, wall areas with a relatively large area of ​​thermal anomalies can have a greater impact on the building's heating and cooling energy loss. Therefore, Equation 2 is an environmentally corrected thermal anomaly The degree of heat loss in the wall can be quantified by reflecting the area ratio of the candidate heat loss zone.

[0112] According to mathematical formula 2, environment-corrected thermal anomaly As the wall heat loss index increases It can increase, and even with the same environment-corrected thermal anomaly, the area of ​​the candidate heat loss region As the wall heat loss index increases It can increase.

[0113] The heat loss analysis unit (250) is calculated Using this, the degree of heat loss in the wall area can be determined, or a heat loss grade such as normal, interest, caution, or danger can be determined by comparing it with a preset reference value.

[0114] can represent the actual area or image area of ​​a candidate heat loss region where heat loss is estimated to have occurred in the i-th wall region.

[0115] It can be obtained based on the processing results of the wall area recognition unit (220) and the heat loss analysis unit (250).

[0116] The wall area recognition unit (220) recognizes the location and boundary of the wall to be analyzed in the thermal image, and the heat loss analysis unit (250) [recognizes] the environment-corrected thermal anomaly Alternatively, based on environmental correction thermal characteristic information, pixels or areas where thermal abnormalities exceeding a preset standard appear can be detected as candidate regions for heat loss.

[0117] The heat loss analysis unit (250) can obtain an image area by calculating the number of pixels included in the detected heat loss candidate area.

[0118] The heat loss analysis unit (250) converts the pixel area in the image into an actual area by using the shooting distance, viewing angle, image resolution, and actual size information of the wall of the thermal imaging camera. You can also obtain.

[0119] It can represent the total wall area currently subject to heat loss analysis.

[0120] The wall area recognition unit (220) can be obtained based on the area of ​​the wall to be analyzed recognized in the thermal image.

[0121] The wall area recognition unit (220) can detect the boundaries of the walls in a thermal image using an artificial intelligence-based object detection model or an image segmentation model, and calculate the total number of pixels included within the boundaries.

[0122] The wall area recognition unit (220) converts the actual area of ​​the entire wall using the shooting conditions of the thermal imaging camera or the actual dimension information of the building. You can obtain.

[0123] In mathematical formula 2 / can represent the ratio of the area occupied by the heat loss candidate region in the entire wall under analysis. Therefore, the above area ratio can be set to a value between 0 and 1.

[0124] is the area ratio of the heat loss candidate region / This wall heat loss index It may be an area weighting factor for adjusting the magnitude of the influence on.

[0125] It can be set to a preset fixed value, or it can be determined based on experimental data.

[0126] The heat loss analysis unit (250) calculates the environmentally corrected thermal anomaly of the i-th wall area from the environmental impact correction unit (240) by mathematical formula 1. The heat loss analysis unit (250) can receive input for the area of ​​the i-th heat loss candidate region based on the wall region information and environment correction thermal characteristic information of the wall region recognition unit (220). and the area of ​​all walls subject to analysis You can obtain.

[0127] The heat loss analysis unit (250) has an environment-corrected heat anomaly according to mathematical formula 2. Area ratio of candidate heat loss regions / Wall heat loss index of the i-th wall area reflecting It can produce.

[0128] Accordingly, the heat loss analysis unit (250) can quantitatively analyze the degree of heat loss of the wall by considering not only the degree of temperature abnormality corrected by environmental conditions, but also the spatial range occupied by the heat abnormality in the entire wall.

[0129] The heat loss analysis unit (250) is a wall heat loss index calculated by mathematical formula 2 The wall heat loss analysis data can be included and transmitted to the energy saving control server (300).

[0130] FIG. 4 is a diagram showing the configuration of an energy saving control server according to an embodiment of the present invention.

[0131] The energy saving control server (300) receives wall heat loss analysis data from the AI ​​wall heat loss analysis device (200), corresponds the wall where heat loss occurred with the heating and cooling control zone of the building, analyzes the impact of the wall heat loss on the heating and cooling load and energy consumption, and can generate equipment control command data for energy saving based on the analysis results. Here, the equipment control command data may be command data for the operation control of building equipment generated by the energy saving control server (300) based on energy saving control conditions.

[0132] An energy saving control server (300) according to an embodiment of the present invention may include a space matching unit (310), a heating and cooling load analysis unit (320), an energy loss analysis unit (330), a saving control condition generation unit (340), and a control command generation unit (350).

[0133] The space matching unit (310) receives wall heat loss analysis data from the AI ​​wall heat loss analysis device (200) and can match the location of the wall where heat loss occurred with the indoor space or heating / cooling control zone that is thermally affected by the wall.

[0134] The space matching unit (310) can compare the location information of the heat loss area included in the wall heat loss analysis data with the floor plan of the building, space layout information, Building Information Modeling (BIM), or control area information of the BMS.

[0135] Accordingly, the space matching unit (310) can generate heat loss-control zone matching information indicating which indoor space and which heating / cooling control zone a specific heat loss area affects, and transmit the generated heat loss-control zone matching information to the heating / cooling load analysis unit (320).

[0136] The heating and cooling load analysis unit (320) receives heat loss-control zone matching information from the space matching unit (310) and can analyze the effect of the heat loss of the wall on the cooling load or heating load of the corresponding indoor space using the degree of heat loss and environmental information included in the wall heat loss analysis data.

[0137] The heating and cooling load analysis unit (320) can analyze the heating and cooling load for each space using at least one of the area of ​​the heat loss region, the degree of heat loss, the indoor and outdoor temperature difference, and the environmental condition of the space.

[0138] Accordingly, the heating and cooling load analysis unit (320) can generate space-specific heating and cooling load information indicating the heating and cooling load that has increased or changed due to heat loss for the space corresponding to the wall where heat loss has occurred, and transmit the generated space-specific heating and cooling load information to the energy loss analysis unit (330).

[0139] The energy loss analysis unit (330) receives space-specific heating and cooling load information from the heating and cooling load analysis unit (320) and can analyze the energy consumption status that additionally occurs due to wall heat loss.

[0140] The energy loss analysis unit (330) can compare the standard cooling and heating load expected in a standard state or normal state without heat loss with the current cooling and heating load, and analyze the amount of additional cooling and heating energy required due to wall heat loss based on the difference.

[0141] The energy loss analysis unit (330) may calculate the amount of energy that can be saved by comparing the expected energy consumption when maintaining the current facility operating conditions with the expected energy consumption when changing the control conditions.

[0142] Accordingly, the energy loss analysis unit (330) can generate energy loss analysis information including at least one of additional energy consumption due to heat loss, expected energy consumption, and potential energy savings, and transmit the generated energy loss analysis information to the reduction control condition generation unit (340).

[0143] The energy saving control condition generation unit (340) receives energy loss analysis information from the energy loss analysis unit (330) and can generate energy saving control conditions to reduce heating and cooling energy consumption while maintaining the indoor environment within a preset allowable range.

[0144] The reduction control condition generation unit (340) can generate a plurality of candidate control conditions using at least one of the degree of heat loss, heating and cooling load per space, current indoor environment, target indoor environment, current equipment operation status and expected energy consumption.

[0145] Afterwards, the energy saving control condition generation unit (340) can determine an energy saving control condition that can reduce energy consumption while satisfying a preset indoor environment condition by comparing the expected indoor environment and the expected energy consumption according to each of the plurality of candidate control conditions.

[0146] Here, the energy saving control conditions may include at least one of the set temperature, heating and cooling output, airflow, operating time, and operating mode of the heating and cooling air conditioning system.

[0147] The energy saving control condition generation unit (340) can transmit the generated energy saving control condition to the control command generation unit (350).

[0148] The reduction control condition generation unit (340) calculates the wall heat loss index by Equation 2 for one or more wall areas corresponding to a specific heating and cooling control zone by the space matching unit (310). The energy loss rate of the corresponding heating and cooling control zone calculated by the energy loss analysis unit (330) is received as input. Receives as input and the energy saving control value of the z-th heating and cooling control zone according to the following mathematical formula 3 It can produce.

[0149]

[0150] Here, is an energy saving control value indicating the degree of necessity or control intensity of energy saving control for the z-th heating and cooling control zone, and z is an index for identifying one of the control zones among the plurality of heating and cooling control zones set in the building, and is a wall heat loss index representing the degree of wall heat loss in the i-th wall region, and is the total number of wall areas corresponding to the z-th heating and cooling control zone, and is an energy loss rate representing the relative degree of additional energy consumption occurring in the z-th heating and cooling control zone compared to the reference state, and The average wall heat loss index of the walls corresponding to the z-th heating and cooling control zone is the energy saving control value It is a heat loss weighting factor for adjusting the magnitude of the influence on, and is the energy loss rate of the z-th heating and cooling control zone This energy saving control value It represents an energy loss weighting factor for adjusting the magnitude of the impact on.

[0151] The energy saving control condition generation unit (340) does not control the heating and cooling equipment using only the heat loss state of the wall, but rather considers the heat loss state occurring in multiple wall areas corresponding to the heating and cooling control zone and the actual energy loss state together to generate an energy saving control value It can produce.

[0152] According to Equation 3, if the average wall heat loss index of the wall areas corresponding to the z-th heating and cooling control zone increases, or the energy loss rate of the corresponding heating and cooling control zone As this increases, the energy saving control value This can increase.

[0153] The energy saving control condition generation unit (340) generates the calculated energy saving control value It is possible to determine whether control of the heating and cooling equipment is necessary or the level of control by comparing it with one or more preset control reference values.

[0154] for example, Control conditions can be determined such that if the value is less than the first threshold value, the current operating state is maintained, if the value is greater than or equal to the first threshold value but less than the second threshold value, energy saving control at the first level is performed, and if the value is greater than or equal to the second threshold value, energy saving control at the second level is performed.

[0155] Accordingly It can be used as a reference value to determine the set temperature, heating and cooling output, airflow, operating time, or operating mode of the heating and air conditioning system.

[0156] The reduction control condition generation unit (340) is Based on this, energy saving control conditions can be generated, and the generated energy saving control conditions can be transmitted to the control command generation unit (350).

[0157] The z-th heating and cooling control zone may correspond to one or more wall areas where heat loss has occurred by the space matching unit (310). The space matching unit (310) can determine the correspondence between each wall area and the heating and cooling control zone by comparing the location information of the heat loss area included in the wall heat loss analysis data with the floor plan of the building, the Building Information Model (BIM), the spatial layout information, or the control zone information of the BMS.

[0158] The matching unit (310) can be obtained based on the result of matching the location information of the wall area included in the wall heat loss analysis data with the spatial information of the building.

[0159] Energy loss rate The energy loss analysis unit (330) can obtain the current energy consumption and reference energy consumption of the z-th heating and cooling control zone by comparing them.

[0160] for example, It can be calculated by the following mathematical formula 4.

[0161]

[0162] Here, is the energy loss rate, and is the current energy consumption of the z-th heating and cooling control zone, and is the standard energy consumption of the corresponding heating and cooling control zone, and can be a preset positive constant to prevent the denominator from becoming zero.

[0163] Current energy consumption It can be obtained from a building equipment control device (400), BMS, power meter, or energy measuring device. Reference energy consumption It can be set based on past energy consumption measured during the normal operation period of the same heating and cooling control zone, average energy consumption under similar outdoor conditions, or steady-state energy consumption predicted by the heating and cooling load analysis unit (320).

[0164] Accordingly As it increases, it may indicate that relatively more energy is being consumed in the corresponding heating and cooling control zone compared to the reference state.

[0165] It can be set to a preset fixed value, and can be determined by analyzing the relationship between the wall heat loss index collected from actual buildings and the heating and cooling energy consumption.

[0166] It can be pre-set according to the type of building, the capacity of the heating and cooling equipment, energy consumption characteristics, and the purpose of control.

[0167] The reduction control condition generation unit (340) corresponds to the z-th heating and cooling control zone. Wall heat loss index for wall areas Calculate the average value of, and the heat loss weighting factor to the above average value It can be applied.

[0168] The energy loss rate of the z-th heating and cooling control zone is generated by the energy loss rate of the energy loss condition generation unit (340) of the z-th heating and cooling control zone. Energy loss weighting factor Apply and combine them to obtain the energy saving control value according to Equation 3 It can produce.

[0169] Accordingly, the energy saving control condition generation unit (340) can generate an energy saving control value by simultaneously reflecting the degree of heat loss detected in the wall itself and the energy loss state occurring in the actual heating and cooling control zone.

[0170] The control command generation unit (350) receives energy saving control conditions from the energy saving control condition generation unit (340) and can convert the energy saving control conditions into a control command that can be executed by the actual building's heating and cooling air conditioning system or BMS.

[0171] The control command generation unit (350) can generate equipment control command data including at least one of a control target space, a control target equipment, a control variable, a current value, a target value, and a control execution time.

[0172] The control command generation unit (350) can transmit the generated equipment control command data to the building equipment control device (400) via the communication network (101) as the final output value of the energy saving control server (300).

[0173] The control command generation unit (350) is an energy saving control value calculated by mathematical formula 3 Receives input, Equipment control command data for adjusting at least one of the set temperature, heating / cooling output, airflow, operating time, and operating mode of the z-th heating / cooling control zone according to the size of or the result of comparison with a preset reference value can be generated and transmitted to a building equipment control device (400) through a communication network (101). For example, the equipment control command data may include at least one of a space to be controlled, equipment to be controlled, set temperature, heating / cooling output, airflow, operating time, operating mode, target control value, control execution time, and control priority.

[0174] FIG. 5 is a diagram showing the configuration of a building facility control device according to an embodiment of the present invention.

[0175] The building equipment control device (400) receives equipment control command data from the energy saving control server (300), controls the heating, cooling, and air conditioning equipment of the actual building according to the equipment control command data, and can generate control result data by collecting the equipment operation status and energy consumption status after control. Here, the control result data may be data representing the control result generated after the building equipment control device (400) controls the heating, cooling, and air conditioning equipment according to the equipment control command data.

[0176] A building facility control device (400) according to an embodiment of the present invention may include a control command receiving unit (410), a facility interlocking unit (420), a heating and cooling facility control unit (430), an operation status collection unit (440), and a control result feedback unit (450).

[0177] The control command receiving unit (410) receives equipment control command data from the energy saving control server (300) and can identify the control target area, control target equipment, control variable, and target value included in the equipment control command data.

[0178] The control command receiving unit (410) can generate or extract a control command to be executed based on the identified information and transmit it to the equipment interlocking unit (420).

[0179] The equipment interlocking unit (420) receives a control command to be executed from the control command receiving unit (410) and can convert the control command to be executed into a communication protocol and control format that can be recognized by the target heating and cooling air conditioning equipment or BMS.

[0180] The equipment interlocking unit (420) can transmit the converted equipment execution command to the heating and cooling equipment control unit (430).

[0181] The heating and cooling equipment control unit (430) receives an equipment execution command from the equipment interlocking unit (420) and can control the operating state of the actual heating and cooling air conditioning equipment according to the equipment execution command.

[0182] The heating and cooling equipment control unit (430) can control at least one of the set temperature, heating and cooling output, air volume, operating time, and operating mode of a cooling device, heating device, air conditioner, ventilation device, or fan coil unit.

[0183] The heating and cooling equipment control unit (430) can generate an equipment control execution result including whether a control command is executed and the actual changed equipment operation state, and transmit it to the operation state collection unit (440).

[0184] The operation status collection unit (440) receives the results of the equipment control execution from the heating and cooling equipment control unit (430) and can collect the actual equipment operation status and energy consumption status after the control is performed.

[0185] The operating status collection unit (440) can collect at least one of the actual set temperature, heating and cooling output, airflow, operating time, power consumption, or energy consumption.

[0186] The driving status collection unit (440) may collect environmental changes such as indoor temperature and indoor humidity after control in conjunction with the environmental information acquisition unit (130).

[0187] The operation status collection unit (440) can generate equipment operation status information including collected information and transmit it to the control result feedback unit (450).

[0188] The control result feedback unit (450) receives equipment operation status information from the operation status collection unit (440) and can compare the energy consumption status and indoor environment status before and after control.

[0189] The control result feedback unit (450) can compare the energy consumption predicted by the energy saving control server (300) with the actual energy consumption, and analyze the change in energy consumption and the change in the indoor environment before and after control to generate control result data.

[0190] The control result feedback unit (450) can generate control result data by comparing the equipment operation status and energy consumption status before and after control, and the generated control result data can be transmitted to the energy saving control server (300) and used as an input value for subsequent control.

[0191] For example, control result data may include at least one of the actual set temperature, actual cooling / heating output, actual airflow, actual operating time, actual operating mode, whether control was successful, energy consumption after control, energy savings, change in indoor temperature, and change in indoor humidity.

[0192] The energy saving control server (300) can use the control result data as an input value for a subsequent control cycle to evaluate the appropriateness of the previously generated energy saving control conditions and correct the subsequent energy saving control conditions according to the actual control results.

[0193] Accordingly, the artificial intelligence (AI)-based building wall heat loss analysis and energy saving control device (10) according to an embodiment of the present invention can form a closed-loop type data processing and control structure in which the acquisition of wall heat information, AI-based wall heat loss analysis, energy loss analysis due to heat loss, generation of energy saving control conditions, control of actual heating and cooling equipment, and feedback of the control results are continuously performed.

[0194] Specifically, the wall heat information data generated by the wall heat information acquisition device (100) becomes an input value for the AI ​​wall heat loss analysis device (200), the wall heat loss analysis data generated by the AI ​​wall heat loss analysis device (200) becomes an input value for the energy saving control server (300), and the equipment control command data generated by the energy saving control server (300) can become an input value for the building equipment control device (400).

[0195] The control result data generated by the building equipment control device (400) can be reused as an input value for subsequent control of the energy saving control server (300).

[0196] Accordingly, the present invention is not limited to merely detecting temperature anomalies in a wall from a thermal image, but can also correct for the influence of environmental conditions to analyze wall areas with potential for actual heat loss, correlate the corresponding heat loss areas with actual heating and cooling control zones, analyze energy loss due to heat loss, and then link this analysis to the control of actual building equipment and the feedback of the results.

[0197] Although embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the present invention as defined in the following claims also fall within the scope of the present invention. Explanation of the symbols

[0199] 10: Energy saving control device 100: Wall heat information acquisition device 200: AI Wall Heat Loss Analysis Device 300: Energy Saving Control Server 400: Building equipment control device

Claims

Claim 1 In an artificial intelligence-based building wall heat loss analysis and energy saving control device, a wall heat information acquisition device (100) captures a building wall to acquire a thermal image, extracts wall surface temperature information from the thermal image, acquires indoor and outdoor environment information, and generates wall heat information data by synchronizing the thermal image, the wall surface temperature information, and the indoor and outdoor environment information based on time information and location information; an AI wall heat loss analysis device (200) receives the wall heat information data, recognizes a wall area to be analyzed in the thermal image using an artificial intelligence-based object detection model or an image segmentation model, generates thermal characteristic information of the wall area, corrects the influence of environmental conditions included in the thermal characteristic information based on the indoor and outdoor environment information, and generates wall heat loss analysis data including at least one of the heat loss location, heat loss area, and degree of heat loss of the wall area; and receives the wall heat loss analysis data, matches the wall area where heat loss has occurred with the heating and cooling control zone of the building, and the heat loss of the wall area is the heating and cooling load of the heating and cooling control zone An energy saving control server (300) that analyzes the impact on energy consumption, determines energy saving control conditions to reduce energy consumption while maintaining the indoor environment of the heating and cooling control zone within a preset allowable range, and generates equipment control command data based on the energy saving control conditions;The building wall heat loss analysis and energy saving control device using artificial intelligence includes a building equipment control device (400) that receives the above equipment control command data and controls at least one of the set temperature, heating / cooling output, airflow, operating time, and operating mode of the heating / cooling air conditioning equipment or building management system corresponding to the heating / cooling control zone, collects the equipment operating state and energy consumption state after control to generate control result data, and feeds the control result data to the energy saving control server (300); wherein the energy saving control server (300) evaluates the appropriateness of the energy saving control conditions based on the control result data and corrects the energy saving control conditions of the subsequent control cycle according to the evaluation result.

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