Air conditioner operation control method, electronic equipment and computer readable storage medium

Abstract

The invention discloses an air conditioner operation control method, electronic equipment and a computer readable storage medium, and the air conditioner operation control method comprises the steps that thermal environment data of all enclosure faces of a room enclosure structure are collected, thermal environment differences between the different enclosure faces are analyzed, and a corresponding direction recognition mode is selected; the method comprises the following steps: acquiring thermal environment data of a room, preprocessing the thermal environment data, extracting thermal environment characteristics, matching the thermal environment characteristics with a preset characteristic table so as to identify the orientation of the room, correcting and controlling the operating parameters of the air conditioner based on the identified orientation of the room, and identifying the orientation of the room based on the thermal environment difference of the enclosure structure. And air conditioner operation control can be matched with the actual orientation characteristics of the room, so that a more energy-saving and comfortable air conditioner control strategy is provided for the air conditioner.

Description

Technical Field

[0001] This application relates to the field of air conditioning control technology, and in particular to a control method, electronic device and computer-readable storage medium for air conditioning operation. Background Technology

[0002] With the development of sensing technology, infrared thermometry has been widely applied in various air conditioning and building environment-related fields, such as indoor temperature distribution measurement, human body detection and positioning, air conditioning outlet temperature monitoring, and thermal performance evaluation of building envelopes such as walls and windows. By collecting and analyzing infrared radiation information from target surfaces, the thermal environment status within a space can be reflected to a certain extent, providing data support for air conditioning operation control.

[0003] However, existing infrared recognition-based technologies primarily focus on localized temperature detection or instantaneous thermal state sensing, typically failing to comprehensively analyze the room's specific location within the building and external seasonal environmental factors. In actual air conditioning operation, the cooling or heating load of a room varies significantly with location, sunlight conditions, and seasonal changes. However, most existing control strategies still rely primarily on the temperature difference between the set indoor temperature and the actual temperature, resulting in a certain lag in tracking and responding to load changes, making it difficult to achieve precise adjustment of the air conditioning's operating frequency and capacity. Therefore, existing technologies still fall short in achieving more rational, energy-efficient, and comfortable air conditioning control based on room location and external environmental changes. Summary of the Invention

[0004] This application provides a control method, electronic device, and computer-readable storage medium for air conditioning operation, which can effectively identify the location of the air-conditioned room and thus provide a more energy-efficient and comfortable air conditioning control strategy.

[0005] One technical solution adopted in this application is: providing a control method for air conditioner operation, the control method for air conditioner operation comprising:

[0006] Acquire at least one set of thermal environment data for the room envelope; wherein each set of thermal environment data corresponds to a specific surface of the room envelope. Obtain the difference value between thermal environment data corresponding to different enclosure surfaces, and determine the recognition mode for identifying room orientation based on the difference value; Preprocess the at least one set of thermal environment data to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces; Based on the recognition mode, the thermal environment characteristics corresponding to each of the enclosure surfaces are matched with a preset associated feature table to obtain the orientation recognition result of the room. Based on the orientation recognition results, the air conditioning operating parameters are corrected and controlled.

[0007] Another technical solution adopted in this application is: providing an electronic device, the electronic device comprising: Memory, used to store executable program code; A processor is configured to call and run the executable program code from the memory, causing the electronic device to perform the air conditioning operation control method as described in any of the above.

[0008] Another technical solution adopted in this application is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the air conditioning operation control method described in any of the above claims.

[0009] This application provides a method for controlling the operation of an air conditioner. The method includes: collecting thermal environment data of each enclosure surface of the room's building envelope, analyzing the differences in thermal environment between different enclosure surfaces, and selecting a corresponding orientation recognition mode; then preprocessing the thermal environment data and extracting thermal environment features, matching the thermal environment features with a preset feature table to identify the room's orientation, and correcting the air conditioner's operating parameters based on the identified room orientation. By identifying the room's orientation based on the differences in the thermal environment of the building envelope, the air conditioner's operation control can be matched with the actual orientation features of the room, thereby providing a more energy-efficient and comfortable air conditioner control strategy. Attached Figure Description

[0010] Figure 1 This is a flowchart illustrating the first embodiment of the air conditioning operation control method of this application; Figure 2 This is a flowchart illustrating the second embodiment of the air conditioning operation control method of this application; Figure 3 This is a schematic diagram of the installation of the outdoor and indoor units of the air conditioner, which is part of the air conditioner operation control method of this application. Figure 4 These are schematic diagrams of the control method for air conditioning operation in this application at different azimuth angles. Figure 5 This is a flowchart illustrating the third embodiment of the air conditioning operation control method of this application; Figures 6a-6e This is a schematic diagram of a directional air supply scenario for the air conditioning operation control method of this application; Figure 7 This is a flowchart illustrating the fourth embodiment of the air conditioning operation control method of this application; Figure 8 This is an exemplary structural block diagram of the electronic device for the air conditioning operation control method of this application; Figure 9This is an exemplary structural block diagram of a computer-readable storage medium for the control method of air conditioning operation of this application. Detailed Implementation

[0011] The present application will now be described in detail with reference to the accompanying drawings and embodiments.

[0012] In some embodiments, please refer to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the air conditioning operation control method of this application. It should be noted that if substantially the same result is achieved, the method of this application is not necessarily identical. Figure 1 The illustrated process sequence is limited. For example... Figure 1 As shown, the control method for the operation of the air conditioner includes: S101, acquire at least one set of thermal environment data of the room envelope; wherein each set of thermal environment data corresponds to each envelope surface of the room envelope.

[0013] The enclosure structure can be a building structure that forms the boundary of a room, and the enclosure surface can be a single structural surface of the enclosure structure, including but not limited to walls, ceilings, floors, etc., which are used to isolate the indoor and outdoor environments and affect heat transfer.

[0014] At least one set of thermal environment data can reflect the thermal state of the building envelope, characterizing its heat load characteristics at the current moment. For example, in one embodiment, the surface temperatures of the east, west, south, and north sides of the building envelope are acquired using infrared thermal sensing devices, and combined with the temperature detection values ​​of the wall where the air conditioner indoor unit is installed, to form an infrared thermal sensing data set. In another embodiment, the air conditioner indoor unit sequentially supplies air to the building envelope, and the temperature difference between the outlet air and return air in each air supply direction is detected, combined with the temperature detection values ​​of the building envelope where the indoor unit is located, to form a return air temperature difference data set.

[0015] As an example, during air conditioning operation, at least one set of thermal environment data of the room's envelope is acquired through devices such as infrared temperature measuring units and temperature sensors installed inside or near the air conditioner. The thermal environment data corresponds to multiple envelope surfaces of the room, and each envelope surface forms an independent set of data records to reflect the thermal state of that envelope surface at the current moment.

[0016] S102, obtain the difference value between the thermal environment data corresponding to different enclosure surfaces, and determine the recognition mode for identifying the room orientation based on the difference value.

[0017] The difference value can be the relative difference or distribution difference of the corresponding thermal environment data between different enclosure surfaces. It can be used to reflect the difference in heat load of the enclosure structure in different directions and the degree of temperature distribution difference between each enclosure surface. This helps to determine whether the current room enclosure structure exhibits obvious directional thermal characteristics, avoids misjudgment caused by forced identification under uniform thermal environment conditions, and thus determines the identification mode used to identify the room's orientation.

[0018] The recognition mode is used to indicate the thermal environment sensing method and the corresponding feature table recognition process used by the air conditioner when identifying the room location. Different recognition modes correspond to different thermal environment data acquisition methods or different data combination methods.

[0019] For example, the first identification mode is an identification process based on infrared thermal sensing data; the second identification mode is an active identification process based on the temperature difference between directional air supply and return air; and the hierarchical identification mode is a combination of the first and second identification modes.

[0020] S103, preprocess the at least one set of thermal environment data to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces.

[0021] The raw thermal environment data is transformed into stable, comparable, and directional feature quantities, enabling it to be used as standardized input for matching with a feature table, thereby achieving reliable identification of room orientation. Thermal environment characteristics are used to characterize the heat load state of each building envelope, and room orientation is identified based on these thermal environment characteristics.

[0022] The thermal environment data is processed, including but not limited to data filtering, outlier removal, time alignment, and normalization.

[0023] S104, based on the recognition mode, the thermal environment features corresponding to each of the enclosure surfaces are matched with a preset associated feature table to obtain the orientation recognition result of the room.

[0024] As an example, due to the long-term influence of solar radiation, external wind direction, and building shading, the heat load distribution of each room's envelope exhibits stable directional differences. Therefore, the feature table in this embodiment pre-establishes a correspondence between each azimuth angle and the corresponding thermal environment feature range of the envelope based on these differences. During the identification process, by matching the real-time acquired thermal environment features with the feature table, it is determined which azimuth angle the current room best matches for the envelope's thermal feature distribution.

[0025] S105, Based on the orientation recognition result, the air conditioning operating parameters are corrected and controlled.

[0026] Among them, the operating parameters can be the control parameters that the air conditioner can adjust during the cooling operation, including but not limited to compressor frequency, target outlet air temperature, air volume, air delivery angle, feedforward compensation factor, etc.

[0027] As an example, based on the identified room orientation, hourly load prediction is performed to adjust the air conditioning operating parameters such as compressor frequency, opening degree, and outdoor fan speed. For instance, for west-facing or high-radiation rooms, cooling capacity is increased or feedforward compensation is enhanced in advance; for rooms in the middle area or with low load, cooling intensity is appropriately reduced to avoid overcooling. Thus, based on room orientation identification and combined with time factors, the cooling or heating demand of rooms at different hours is predicted. That is, based on the typical load change patterns corresponding to the room orientation, the upcoming heat load change trend is judged in advance. At the same time, before the actual heat load changes, the air conditioning system adjusts key operating parameters in advance based on the prediction results, rather than waiting until the indoor temperature has deviated from the set value before feedback correction. This makes the air conditioning operation more consistent with the actual heat load change patterns and better matches the actual heat load changes in the room, achieving comprehensive optimization of cooling effect, energy consumption, and comfort.

[0028] This embodiment collects thermal environment data from each surface of the room's building envelope, analyzes the differences in thermal environment between different surfaces, and selects an appropriate orientation recognition mode. Then, it preprocesses the thermal environment data and extracts thermal environment features, matching these features with a preset feature table to identify the room's orientation. Based on the identified room orientation, it corrects and controls the air conditioning operating parameters. By identifying the room's orientation based on the differences in the building envelope's thermal environment, the air conditioning operation control can be matched with the actual orientation characteristics of the room, thus providing a more energy-efficient and comfortable air conditioning control strategy.

[0029] Please see Figure 2 , Figure 2 This is a flowchart illustrating a second embodiment of the air conditioning operation control method of this application. The method includes the following steps: S201, the infrared thermal sensing device scans each of the enclosure surfaces, and at the same time, the temperature of the enclosure surface where the indoor unit is located is detected by the temperature sensor to obtain the infrared thermal sensing data set.

[0030] As an example, after the air conditioner is powered on and started, the infrared thermal sensing device onboard the air conditioner performs an infrared thermal scan of each enclosure surface in the room. Please also refer to... Figure 3 , Figure 3This is a schematic diagram of the installation of the outdoor and indoor units of the air conditioner, which are part of the air conditioner operation control method of this application. By utilizing the temperature sensor in the indoor unit, the temperature of the enclosure surface where the indoor unit is located is detected, thereby obtaining an infrared thermal sensing data set containing temperature distribution information of each enclosure surface.

[0031] S202, calculate the difference value between the thermal environment data corresponding to different enclosure surfaces.

[0032] As an example, based on the infrared thermal sensing data set, the difference values ​​between the thermal environment data corresponding to different enclosure surfaces are calculated. These difference values ​​can be calculated by measuring the difference between the maximum and minimum values ​​between different enclosure surfaces, or by calculating the temperature gradient between adjacent enclosure surfaces.

[0033] S203, in response to the difference value being higher than a preset difference threshold, the recognition mode is determined to be a first recognition mode based on the infrared thermal data group.

[0034] The difference threshold can be used to detect whether the characteristics of the room envelope are obvious. When the difference value of each data in the infrared thermal sensing data set is higher than the difference threshold, that is, there is a significant difference in the thermal performance and heating conditions of the envelope, the identification mode can be determined as the first identification mode based on the infrared thermal sensing data set, and there is no need to further trigger the second identification mode.

[0035] S204, calculate the difference between each data point in the at least one set of thermal environment data and the lower limit of the preset temperature range.

[0036] S205, divide the difference by the width of the temperature range to obtain the division result.

[0037] S206, the division result is linearly scaled and translated to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces.

[0038] As an example, the differences obtained by comparing each data value in each thermal environment data set with the lower limit of a unified temperature range can be used to standardize the original thermal environment data. Dividing each difference by the width of its corresponding temperature range yields a division result that maps thermal environment data from different ranges to a unified relative proportion range, improving the comparability between data from different building envelopes. Linear scaling and translation are then applied to the division result to ensure that the thermal environment features fall within a preset feature space, forming stable, continuous thermal environment features suitable for matching and identification.

[0039] In some embodiments, S206 includes: multiplying the division result with a preset first constant to obtain a product value; calculating the difference between the product value and a preset second constant to obtain the thermal environment characteristics of the building envelope temperature.

[0040] In some specific exemplary embodiments, the thermal environment data is linearly normalized, reducing the thermal environment data within the temperature range [a,b] to [-1,1] to obtain the thermal environment characteristics. The specific formula is as follows: y ; In the formula, a is the lower limit of the temperature range, b is the upper limit of the temperature range, x is the thermal environment data, and y is the thermal environment characteristics.

[0041] In some specific exemplary embodiments, the thermal environment data is linearly normalized, reducing the thermal environment data with a temperature range of [-30, 60] to [-1, 1] to obtain the thermal environment characteristics. The specific formula is: y ; In the formula, x represents thermal environment data, and y represents thermal environment characteristics.

[0042] S207, Match the thermal environment characteristics corresponding to each of the enclosure surfaces with the enclosure surface temperature range characteristics of each enclosure surface at different azimuth angles in the feature table to obtain the number of enclosure surfaces that satisfy the enclosure surface temperature range characteristics.

[0043] As an example, for each azimuth angle in the feature table, it is determined whether the thermal environment features corresponding to each enclosure surface fall within the enclosure surface temperature range feature of the corresponding enclosure surface at that azimuth angle. When the thermal environment features of a certain enclosure surface satisfy the enclosure surface temperature range feature, the enclosure surface is determined to be a matching enclosure surface, and the number of matching enclosure surfaces is counted to obtain the number of enclosure surface matches corresponding to that azimuth angle. Then, among multiple azimuth angles, the azimuth angle with the largest number of matching enclosure surfaces is selected as the orientation recognition result of the room.

[0044] Please see Figure 4 , Figure 4 This is a schematic diagram of different azimuth angles for the air conditioning operation control method of this application. In this scenario, room A is the northwest corner, room B is the northeast corner, room C is the southwest corner, and room D is the southeast corner.

[0045] The thermal environment characteristics in this embodiment are infrared thermal sensing characteristics. In some specific embodiments, the feature table corresponding to the first identification mode based on the infrared thermal sensing data group is as follows: Table 1: Table 1

[0046] S208, select the azimuth angle corresponding to the largest number of matching enclosure surfaces as the orientation recognition result of the room.

[0047] As an example, the heat load distribution of each building envelope exhibits overall consistency across different room orientations. Therefore, by counting the number of matching building envelopes that satisfy the temperature range characteristics in the feature table, the degree of conformity between the current room thermal environment characteristics and the feature models for different azimuth angles can be measured from an overall perspective. Using the number of matching building envelopes as the criterion can avoid misidentification caused by measurement errors or local anomalies of a single building envelope, thereby improving the stability and reliability of room orientation identification results.

[0048] For example, for a candidate azimuth angle, if the thermal environment characteristics of the east, south and top enclosure surfaces fall within the temperature range of the enclosure surfaces corresponding to the candidate azimuth angle, while only one or two enclosure surfaces meet the matching conditions for other azimuth angles, then it can be determined that the candidate azimuth angle has the highest overall consistency with the thermal environment characteristics of the current room, and thus it is identified as the room's orientation result.

[0049] S105, Based on the orientation recognition result, the air conditioning operating parameters are corrected and controlled.

[0050] In this embodiment, during the power-on phase, the air conditioner uses onboard infrared thermal sensing equipment and built-in temperature sensors to perform infrared thermal scanning of the ceiling, floor, and surrounding walls of the room, and detects the temperature of the wall where the air conditioner's indoor unit is located, thereby acquiring thermal environment data covering all building envelope surfaces. Subsequently, a temperature detection and processing algorithm is used to perform a simple moving average on the thermal environment data to ensure the continuity and stability of the sampled data. Based on this, preprocessing of the thermal environment data is completed to extract corresponding thermal environment features. These features are then matched with a preset feature table to determine the specific location of the room within the building or whether it is a standalone room. This scheme allows for automatic identification of room location based on the overall thermal distribution characteristics of the building envelope without additional manual configuration, providing a reliable basis for subsequent air conditioning operation control.

[0051] Please see Figure 5 , Figure 5 This is a flowchart illustrating the third embodiment of the air conditioning operation control method of this application. The method includes the following steps: S501, control the indoor unit of the air conditioner to deliver air in a directional manner according to the direction of each of the enclosure surfaces, and detect the outlet air temperature and return air temperature in the direction. At the same time, the temperature of the enclosure surface where the indoor unit is located is detected by the temperature sensor to obtain the return air temperature difference data set.

[0052] Please see Figure 6a , Figure 6b , Figure 6c , Figure 6d , Figure 6eThese scenarios represent directional airflow to different building envelopes. As an example, the indoor air conditioning unit is controlled to sequentially deliver directional airflow to each building envelope. During directional airflow, the outlet and return air temperatures in the corresponding directions are detected. Simultaneously, the temperature of the building envelope where the indoor unit is located is detected using a temperature sensor built into the unit, thus obtaining a set of return and supply air temperature difference data corresponding to each building envelope direction. By actively adjusting the airflow direction and combining the changes in outlet and return air temperatures, thermal environment data reflecting the thermal response characteristics of the building envelope can be obtained.

[0053] S502, calculate the difference value between the thermal environment data corresponding to different enclosure surfaces.

[0054] S503, in response to the difference value being higher than a preset difference threshold, the identification mode is determined to be the second identification mode based on the return air temperature difference data group.

[0055] As an example, when the difference values ​​of each data in the return air temperature difference data set are higher than the difference threshold, that is, there are significant differences in the thermal performance and heating conditions of the building envelope, the identification mode can be determined to be the second identification mode based on the return air temperature difference data set, and there is no need to further trigger the first identification mode.

[0056] S504, calculate the difference between each data point in the at least one set of thermal environment data and the lower limit of the preset temperature range.

[0057] S505, divide the difference by the width of the temperature range to obtain the division result.

[0058] S506, the division result is linearly scaled and translated to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces.

[0059] S507, based on the recognition mode, the thermal environment characteristics corresponding to each of the enclosure surfaces are matched with the enclosure surface temperature range characteristics of each enclosure surface at different azimuth angles in the feature table to obtain the number of enclosure surfaces that meet the enclosure surface temperature range characteristics.

[0060] In this embodiment, the thermal environment characteristic is the return air temperature difference characteristic. In some specific embodiments, the feature table corresponding to the second identification mode based on the return air temperature difference data set is shown in Table 2 below: Table 2

[0061] S508, select the azimuth angle corresponding to the largest number of matching enclosure surfaces as the orientation recognition result of the room.

[0062] Steps S504 to S508 can be described as described in steps S204 to S208 above.

[0063] S105, Based on the orientation recognition result, the air conditioning operating parameters are corrected and controlled.

[0064] This embodiment determines room location by directional adjustment of the indoor unit's airflow direction and considering the temperature difference between the outlet and return air temperatures. Simultaneously, it utilizes the indoor unit's built-in temperature sensor to detect the temperature of the surrounding wall, acquiring corresponding thermal environment data. Subsequently, a simple moving average is applied to the thermal environment data using a temperature detection and processing algorithm to ensure data acquisition stability. The thermal environment data is then preprocessed to obtain thermal environment characteristics. Finally, based on the matching results of these thermal environment characteristics with a preset feature table, the different orientations of the room within the building or the type of a standalone room are identified. This solution allows for room location identification without relying on infrared scanning, utilizing the air conditioner's own airflow regulation and temperature difference response characteristics, reducing hardware dependence and improving the solution's applicability and flexibility.

[0065] Please see Figure 7 , Figure 7 This is a flowchart illustrating the fourth embodiment of the air conditioning operation control method of this application. The method includes the following steps: S701, scan each of the enclosure surfaces using an infrared thermal sensor, and simultaneously detect the temperature of the enclosure surface where the indoor unit is located using a temperature sensor to obtain the infrared thermal sensing data set; and / or, control the indoor unit of the air conditioner to directionally supply air according to the direction of each of the enclosure surfaces, and detect the outlet air temperature and return air temperature in the direction, and simultaneously detect the temperature of the enclosure surface where the indoor unit is located using the temperature sensor to obtain the return air temperature difference data set.

[0066] S702, calculate the difference value between the thermal environment data corresponding to different enclosure surfaces.

[0067] S703, in response to the difference value being lower than the difference threshold, the external ambient temperature is obtained through the outdoor unit of the air conditioner, and the identification mode is determined to be the first identification mode and / or the second identification mode based on the external ambient temperature.

[0068] As an example, when the building envelope (such as walls, roofs, floors, doors, and windows) lacks significant differences in thermal performance and heating conditions, the thermal environment characteristics of each envelope surface will be highly similar. That is, the differences between thermal environment data such as temperature, heat flux density, and surface radiation intensity collected from different envelope surfaces are small, even close to zero, making it difficult to form distinguishable characteristic patterns. For example, in spring and autumn, the indoor and outdoor temperature difference is small, the solar radiation intensity is relatively mild, and the heat exchange inside and outside the building envelope tends to be balanced, limiting the range of thermal response changes in each envelope surface. At this time, the directional differences (such as orientation and differences in sunlight exposure time) and material differences of the building envelope are significantly weakened in terms of thermal data. Therefore, this embodiment uses the external environmental temperature sensor of the air conditioning outdoor unit to obtain the current external environmental temperature, and combines the first identification mode and the second identification mode to supplement the identification.

[0069] In some embodiments, S703 may include: In response to the external ambient temperature being lower than a preset first threshold, the recognition mode is determined to be the first recognition mode.

[0070] As an example, when the external ambient temperature is below a first threshold, the heat transfer directionality of the building envelope is obvious, and the passive infrared thermal sensing is stable, thus determining the first identification mode. In the first identification mode, the system analyzes the infrared thermal sensing characteristics of each building envelope surface based on the infrared thermal sensing data acquired by the infrared thermal sensing device, and identifies the room's orientation based on these characteristics.

[0071] In response to the external ambient temperature being higher than a preset second threshold, the recognition mode is determined to be the second recognition mode; wherein the second threshold is greater than the first threshold.

[0072] As an example, the overall building envelope is at a high temperature, resulting in a decrease in infrared thermal contrast. Active air supply can more effectively amplify the difference in heat loss. Therefore, in the second recognition mode, the system controls the indoor air conditioning unit to supply air in a directional manner according to the direction of the building envelope. Based on the temperature difference data between the detected outlet air temperature and return air temperature, the system analyzes the thermal response characteristics of the building envelope to complete the identification of the room's orientation.

[0073] As an example, in response to the external ambient temperature being between the first threshold and the second threshold, the recognition mode is determined to be a hierarchical recognition mode; the hierarchical recognition mode is to perform fuzzy recognition by executing the first recognition mode to obtain at least two candidate orientation recognition results, and to perform accurate recognition by executing the second recognition mode based on the at least two candidate orientation recognitions.

[0074] As an example, the thermal load characteristics and other operational characteristics of the building envelope are in a transitional state, and a single approach may be insufficiently identified or unstable. Therefore, the identification process includes a coarse identification stage and a fine identification stage. In the coarse identification stage, a first identification mode is preferentially used to perform fuzzy identification of the room's orientation. Specifically, by collecting and analyzing the thermal environment data of each building envelope, based on the overall thermal distribution characteristics of the building envelope, the room's orientation is limited to multiple candidate orientations, and two more likely candidate orientations are preferentially selected as the candidate orientation set.

[0075] In the precise identification stage, based on the candidate location set, a second identification mode is further executed for accurate judgment. Specifically, the air conditioner adjusts the indoor unit's airflow direction to perform directional scanning of the building envelope in different directions. Simultaneously, it compares and analyzes the heat change characteristics of the building envelope corresponding to the candidate locations, based on changes in the outlet and return air temperatures, to determine the heat loss of the building envelope in different directions. When the candidate locations are the southwest and northwest corners, the heat loss of the south-facing and north-facing building envelopes is compared. If the heat loss of the north-facing building envelope is greater, the room is determined to be closer to the north; if the heat loss of the south-facing building envelope is greater, the room is determined to be closer to the south, thus pinpointing the specific room location.

[0076] In the process of accurate judgment, the airflow speed of the air conditioner's internal fan can be dynamically adjusted. By increasing the airflow speed, the air circulation capacity is enhanced, accelerating the heat exchange process between the building envelope and the indoor air, making the heat change characteristics of the building envelope more significant, thereby improving the accuracy and efficiency of orientation identification. Through the above-mentioned hierarchical identification and coordinated airflow speed adjustment, the room orientation can be gradually determined from coarse to fine.

[0077] The second threshold is greater than the first threshold. The first and second thresholds can be set according to actual conditions. This embodiment uses a first threshold of 10℃ and a second threshold of 35℃ as an example.

[0078] S103, preprocess the at least one set of thermal environment data to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces.

[0079] S104, based on the recognition mode, the thermal environment features corresponding to each of the enclosure surfaces are matched with a preset associated feature table to obtain the orientation recognition result of the room.

[0080] S105, Based on the orientation recognition result, the air conditioning operating parameters are corrected and controlled.

[0081] Steps S704 to S706 can be as described in any of the above embodiments, and will not be repeated here.

[0082] This embodiment, by flexibly switching or co-using the first and second identification modes under different ambient temperature conditions and adopting a coarse-to-fine hierarchical identification method, can still achieve reliable identification of room orientation even when the thermal environment characteristics of the building envelope are not obvious. This improves the stability and adaptability of orientation identification and provides a more accurate basis for the subsequent correction and control of air conditioning operating parameters.

[0083] In some embodiments, prior to step S104, the following may be included: Several orientation categories are pre-constructed, and a unified spatial location label is applied to each orientation category.

[0084] The orientation categories are used to characterize the different relative positions of a building in space. The classification method can be set according to actual application needs, such as dividing according to angle ranges, relative regions, or preset rules. By spatially calibrating each orientation category, a clear and distinguishable spatial reference relationship is established between different orientation categories.

[0085] Under different orientation categories, a set of building envelope objects is determined, which includes several envelope structures with different orientations.

[0086] The set of building envelope objects includes several envelope structures with different orientations, such as different lateral envelope structures, top envelope structures, or bottom envelope structures of a building. By establishing a correspondence between each orientation category and a specific building envelope object, a foundation can be provided for the classification and collection of temperature data.

[0087] Under each of the aforementioned orientation categories, corresponding temperature data is collected for each building envelope object to form a building envelope temperature sample dataset.

[0088] Temperature sample data can be obtained by scanning each enclosure surface with infrared thermal sensors and simultaneously detecting the temperature of the enclosure surface where the indoor unit is located; and / or by controlling the indoor air conditioning unit to directionally supply air according to each enclosure surface, detecting the outlet and return air temperatures in that direction, and simultaneously detecting the temperature of the enclosure surface where the indoor unit is located. Therefore, the data acquisition process can be carried out within a predetermined time period to obtain representative temperature changes. This allows different types of thermal environment data (thermal environment characteristics) to have corresponding characteristic tables.

[0089] The preprocessing of the temperature sample dataset of the building envelope yields temperature characteristic parameters that characterize the thermal state of the building envelope.

[0090] The preprocessing steps can be the same as those described in any of the above embodiments, and will not be repeated here.

[0091] For each combination of the aforementioned orientation category and each enclosure structure object, statistical analysis is performed on the corresponding temperature characteristic parameters to generate the corresponding temperature characteristic parameter range.

[0092] By statistically processing multiple temperature characteristic parameters under the same combination, a parameter range that can reflect the typical thermal characteristics of the combination is obtained, thereby reducing the impact of single measurement fluctuations on subsequent discrimination results and improving the stability and reliability of the characteristics.

[0093] The temperature characteristic parameter range is structured and stored according to the orientation category and the enclosure structure object to generate the characteristic table.

[0094] The feature table is used to establish the correspondence between orientation category, enclosing structure object and temperature feature parameter range. Subsequently, the orientation category of the target can be determined by matching the temperature feature of the target enclosing structure with the feature table.

[0095] Therefore, by systematically collecting, preprocessing, and extracting features from the temperature data of building envelopes under different orientation categories, the spatial orientation relationships that were originally indirect and unquantifiable are transformed into temperature characteristic parameters and their ranges with engineering significance. This enables the indirect perception and expression of spatial orientation information. It transforms spatial orientation determination from relying on external positioning or manual judgment to automatic determination based on the thermal response characteristics of the building envelope.

[0096] Furthermore, in existing air conditioning operation control, air conditioners generally adjust the compressor's operating status based on the temperature difference between the set indoor temperature and the actual indoor temperature. However, the compressor operating frequency of the outdoor unit of an air conditioner is usually set to a maximum upper limit. During normal operation of the air conditioner, when the room temperature fails to reach the set value, the compressor frequency will remain at this upper limit and will be difficult to increase further, thus limiting the cooling capacity and making users feel that the cooling is insufficient.

[0097] To address the aforementioned issues, this application identifies the room location of the air conditioner and pre-corrects the compressor's maximum operating frequency under different operational needs: when it is determined that high-frequency operation is not required, the compressor's maximum operating frequency is limited; when it is determined that the room requires greater cooling capacity, the limitation on the compressor's maximum operating frequency is lifted or increased, allowing the compressor to operate within a higher frequency range and thus output greater cooling capacity. Through this method, the air conditioner possesses a more suitable operating capability under different room locations and heat load conditions, achieving effective room temperature regulation and improving the user experience.

[0098] In some embodiments, step S105 includes: obtaining the current operating time information of the air conditioner. In response to the operating time information belonging to a high-load time period corresponding to the location identification result, the upper limit operating load parameter of the air conditioner is corrected.

[0099] As an example, let's assume that correction scheme A involves targeted hourly load prediction based on the room's installation orientation within the building and the sunlight conditions at different times, i.e., time-based correction control of the air conditioner's operating frequency upper limit. Specifically, when the room is identified as being located in the southwest corner of the building, due to increased solar radiation in the summer afternoon, the air conditioner's maximum operating frequency can be adjusted upwards at a preset time (e.g., after 12:00), increasing it by a preset x Hz from the original frequency limit. When the room is identified as being located in the southeast corner of the building, due to concentrated solar radiation from the summer morning to noon, the air conditioner's maximum operating frequency can be adjusted between 8:00 and 14:00, increasing it by a preset y Hz from the original frequency limit. Through this method, differentiated frequency control for rooms in different orientations during different time periods is achieved.

[0100] In some embodiments, step S105 includes: acquiring the external ambient temperature detected by the outdoor unit of the air conditioner; and, in response to the external ambient temperature being in a preset high temperature range, correcting the upper limit operating load parameter of the air conditioner based on the orientation identification result.

[0101] As an example, let's assume that correction scheme B involves adjusting the maximum operating frequency of the air conditioner based on the outdoor ambient temperature detected by the outdoor unit and the location of the room. When the outdoor ambient temperature is between 30°C and 40°C, a frequency correction ratio is set for different room locations. Rooms in the southwest and northwest corners have their maximum operating frequency increased by 10%, while rooms in the southeast and northeast corners are not corrected. For example, if the current maximum operating frequency is 75Hz, after a 10% upward correction, the maximum limited operating frequency is 82%, thereby increasing the cooling capacity.

[0102] When the outdoor ambient temperature is between 40℃ and 50℃, the maximum operating frequency for the above-mentioned room orientation can be adjusted upward by up to 5%.

[0103] When the outdoor ambient temperature is higher than 50℃, the operating frequency will not be corrected.

[0104] When a room is identified as being located on the top floor of a building, regardless of its specific location, a frequency correction strategy based on the outdoor ambient temperature is activated. For example, a 10% correction is applied for temperatures between 30°C and 40°C, a 5% correction for temperatures between 40°C and 50°C, and no correction is applied for temperatures above 50°C.

[0105] In some embodiments, step S105 includes: acquiring the current operating time information of the air conditioner; in response to the operating time information belonging to the high-load time period corresponding to the orientation recognition result, correcting the upper limit operating load parameter of the air conditioner; and acquiring the external ambient temperature detected by the outdoor unit; in response to the external ambient temperature being in a preset high-temperature range, correcting the upper limit operating load parameter of the air conditioner according to the orientation recognition result.

[0106] As an example, this embodiment is a combined control scheme of correction scheme A and correction scheme B, which combines room location, time dimension, and outdoor ambient temperature factors in the same control logic. During operation, the system activates time-sharing frequency correction within the corresponding time period based on the identified room location, and simultaneously superimposes or adjusts the frequency correction amplitude according to the current outdoor ambient temperature range, thereby comprehensively correcting and controlling the upper limit of the air conditioner's operating frequency under different times, locations, and ambient temperature conditions.

[0107] In some embodiments, step S105 includes: obtaining the air conditioner operating load status; determining the fan operation correction amount based on the orientation identification result and the air conditioner operating load status; increasing the outdoor fan speed in cooling operation mode; or decreasing the outdoor fan speed in heating operation mode.

[0108] As an example, based on frequency correction, the outdoor fan speed can be adjusted in conjunction with the frequency correction. For instance, when the room is detected to be located in the southwest corner, the fan speed correction control is activated, increasing the outdoor fan speed by a preset z rpm, and maintaining this corrected speed during subsequent cooling mode operation. When the system is in heating mode, the fan speed is corrected in the opposite direction as needed, appropriately reducing the preset z1 rpm. Furthermore, this embodiment can also combine cooling load prediction models and heating load prediction models to coordinate the adjustment of compressor operating frequency, fan speed, and related system opening parameters, achieving refined control of multiple parameters.

[0109] In some embodiments, step S105 includes: obtaining the orientation identification results of multiple air conditioning units in the same building and the overall external ambient temperature of the building; coordinating the allocation of the operating capacity of different air conditioning units based on the orientation identification results and the overall external ambient temperature; and uniformly or in groups controlling the operating parameters of each air conditioning unit according to the coordinating allocation results.

[0110] As an example, when multiple air conditioning units or multiple split air conditioning units are used in the same building and managed through a centralized control gateway, the operating parameters of each air conditioning unit can be centrally coordinated and adjusted based on the location identification results of each room, so as to take into account both overall energy efficiency and user comfort.

[0111] In practical implementation, the centralized control gateway is used to collect the operating status information of each air conditioning unit, room location identification results, and outdoor environmental parameters. Combined with climate characteristics, operating hours, and daily environmental conditions, it adjusts the cooling capacity of different rooms uniformly or individually. For example, under high-temperature conditions in midsummer, when the outdoor temperature is detected to be above 40℃ and during the high heat load period from 13:00 to 16:00, the operating frequencies of multiple outdoor air conditioning units can be adjusted upwards in batches to meet the overall cooling demand, without distinguishing between specific room locations.

[0112] In early summer, when the outdoor temperature is below 30℃ and the building envelope still has a certain capacity to store cold air, the maximum operating frequency of the air conditioning unit can be adjusted downwards to reduce overall energy consumption while ensuring the cooling needs of the room. In early autumn, when the outdoor temperature is below 30℃ but the building envelope has heat storage characteristics, resulting in higher indoor temperatures and lower outdoor temperatures, small adjustments can be made based on the operating time. For example, the operating frequency can be adjusted upwards by 5% between 12:00 and 14:00, and downwards by 5% between 20:00 and 8:00 the next day.

[0113] Through the above-mentioned centralized, multi-room coordinated operation and regulation method, the air conditioning system can achieve unified allocation and precise control of the cooling capacity of each room under different seasons, different ambient temperatures and different time periods, thereby improving the overall operation coordination and energy efficiency.

[0114] Please see Figure 8 , Figure 8 This is an exemplary structural block diagram of the electronic device used in the air conditioning operation control method of this application. (See diagram below.) Figure 8 As shown, the electronic device 800 of this application may include a processor 801 and a memory 802, wherein the processor 801 and the memory 802 communicate via a bus. The memory 802 stores program instructions for controlling the operation of an air conditioner. When the program instructions are executed by the processor 801, the processor performs the aforementioned method steps to implement an air conditioner operation control method as described in the above embodiments.

[0115] Please see Figure 9 , Figure 9 This is an exemplary structural block diagram of a computer-readable storage medium for the air conditioning operation control method of this application. Figure 9 As shown, the computer-readable storage medium 900 stores a computer program 901. When the computer program 901 is run by a processor on a computer, it causes the computer to execute the aforementioned related method steps to implement a control method for air conditioner operation in the above embodiments.

[0116] The above solution collects thermal environment data from each surface of the room's building envelope, analyzes the differences in thermal environment between different surfaces, and selects an appropriate orientation recognition mode. Then, it preprocesses the thermal environment data and extracts thermal environment features, matching these features with a pre-defined feature table to identify the room's orientation. Based on the identified room orientation, it corrects and controls the air conditioning operating parameters. By identifying the room's orientation based on the thermal environment differences within the building envelope, the solution ensures that the air conditioning operation control matches the actual orientation characteristics of the room, thus providing a more energy-efficient and comfortable air conditioning control strategy.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed methods, electronic devices, and storage media can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0118] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0119] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0120] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the air conditioning operation control method described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0121] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for controlling the operation of an air conditioner, characterized in that, The control method for air conditioner operation includes: Acquire at least one set of thermal environment data for the room envelope; wherein each set of thermal environment data corresponds to a specific surface of the room envelope. Obtain the difference value between thermal environment data corresponding to different enclosure surfaces, and determine the recognition mode for identifying room orientation based on the difference value; Preprocess the at least one set of thermal environment data to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces; Based on the recognition mode, the thermal environment characteristics corresponding to each of the enclosure surfaces are matched with a preset associated feature table to obtain the orientation recognition result of the room. Based on the orientation recognition results, the air conditioning operating parameters are corrected and controlled.

2. The method according to claim 1, characterized in that, The preprocessing of the at least one set of thermal environment data to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces includes: Calculate the difference between each data point in the at least one set of thermal environment data and the lower limit of the preset temperature range; Divide the difference by the width of the temperature range to obtain the division result; The division result is linearly scaled and translated to obtain the thermal environment characteristics corresponding to each of the enclosure surfaces.

3. The method according to claim 1, characterized in that, The step of performing orientation matching between the thermal environment characteristics corresponding to each of the enclosure surfaces and a preset associated feature table to obtain the orientation identification result of the room includes: The thermal environment characteristics corresponding to each of the aforementioned enclosure surfaces are matched with the enclosure surface temperature range characteristics of each enclosure surface at different azimuth angles in the feature table to obtain the number of enclosure surfaces that satisfy the enclosure surface temperature range characteristics. The azimuth angle corresponding to the largest number of matching enclosure surfaces is selected as the orientation recognition result of the room.

4. The method according to claim 1, characterized in that, The step of performing orientation matching between the thermal environment characteristics corresponding to each of the enclosure surfaces and a preset associated feature table to obtain the orientation identification result of the room includes: Several orientation categories are pre-constructed, and a unified spatial location label is applied to each orientation category; Under different orientation categories, a set of building envelope objects is determined, and the set of building envelope objects includes several building envelopes with different orientations; Under each of the aforementioned orientation categories, corresponding temperature data is collected for each building envelope object to form a building envelope temperature sample dataset. The preprocessing is performed on the temperature sample dataset of the building envelope to obtain temperature characteristic parameters that characterize the thermal state of the building envelope; For each combination of the aforementioned orientation category and each enclosure structure object, statistical analysis is performed on the corresponding temperature characteristic parameters to generate the corresponding temperature characteristic parameter range. The temperature characteristic parameter range is structured and stored according to the orientation category and the enclosure structure object to generate the characteristic table.

5. The method according to claim 1, characterized in that, The at least one set of thermal environment data includes an infrared thermal sensing data set and / or a return air temperature difference data set. Acquiring at least one set of thermal environment data for the room envelope includes: The infrared thermal sensing data set is obtained by scanning each of the enclosure surfaces using an infrared thermal sensing device and simultaneously detecting the temperature of the enclosure surface where the indoor unit is located using a temperature sensor; and / or The air conditioner indoor unit is controlled to deliver air in a directional manner according to the direction of each of the building envelopes, and the outlet air temperature and return air temperature in the direction are detected. At the same time, the temperature of the building envelope where the indoor unit is located is detected by the temperature sensor to obtain the return air temperature difference data set.

6. The method according to claim 5, characterized in that, The step of acquiring the difference values ​​between thermal environment data corresponding to different enclosure surfaces, and determining the recognition pattern for identifying room orientation based on the difference values, includes: Calculate the difference between the thermal environment data corresponding to different enclosure surfaces; In response to the difference value being higher than a preset difference threshold, the identification mode is determined to be either a first identification mode based on the infrared thermal data set or a second identification mode based on the return air temperature difference data set. In response to the difference value being lower than the difference threshold, the external ambient temperature is obtained through the outdoor unit of the air conditioner, and the identification mode is determined to be the first identification mode and / or the second identification mode based on the external ambient temperature.

7. The method according to claim 6, characterized in that, The identification mode is determined to be the first identification mode based on the external ambient temperature; and / or the second identification mode, including: In response to the external ambient temperature being lower than a preset first threshold, the recognition mode is determined to be a first recognition mode; In response to the external ambient temperature being higher than a preset second threshold, the recognition mode is determined to be the second recognition mode; wherein the second threshold is greater than the first threshold; In response to the external ambient temperature being between the first threshold and the second threshold, the recognition mode is determined to be a hierarchical recognition mode; the hierarchical recognition mode is to perform fuzzy recognition by executing the first recognition mode to obtain at least two candidate orientation recognition results, and to perform accurate recognition by executing the second recognition mode based on the at least two candidate orientation recognitions.

8. The method according to claim 1, characterized in that, The step of correcting and controlling the air conditioning operating parameters based on the orientation recognition result includes: Obtain the current operating time information of the air conditioner; In response to the fact that the operating time information belongs to the high-load time period corresponding to the location identification result, the upper limit operating load parameter of the air conditioner is corrected; and / or Obtain the external ambient temperature detected by the outdoor unit of the air conditioner; When the external ambient temperature is in a preset high temperature range, the upper limit operating load parameter of the air conditioner is corrected based on the orientation identification result.

9. The method according to claim 1, characterized in that, The step of correcting and controlling the air conditioning operating parameters based on the orientation recognition result includes: Obtain the air conditioner operating load status; Based on the orientation recognition results and the air conditioning operating load status, the fan operation correction amount is determined; In cooling mode, increase the outdoor fan speed; or in heating mode, decrease the outdoor fan speed.

10. The method according to claim 1, characterized in that, The step of correcting and controlling the air conditioning operating parameters based on the orientation recognition result includes: Obtain the location identification results of multiple air conditioning units within the same building and the overall external ambient temperature of the building; Based on the orientation recognition results and the overall external ambient temperature, the operating capacity of different air conditioning units is coordinated and allocated. Based on the collaborative allocation results, the operating parameters of each air conditioning unit are controlled uniformly or in groups.

11. An electronic device, characterized in that, The electronic device includes: Memory, used to store executable program code; A processor is configured to call and run the executable program code from the memory, causing the electronic device to perform the air conditioning operation control method as described in any one of claims 1 to 10.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the air conditioning operation control method as described in any one of claims 1 to 10.

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