Device control method, electronic device, and computer-readable storage medium

Abstract

The application discloses a device control method, an electronic device and a computer readable storage medium. The method comprises: acquiring building attribute information, external environment parameters and internal environment parameters; determining a thermal parameter according to the building attribute information; substituting the thermal parameter, the external environment parameters and the internal environment parameters into an indoor temperature prediction model to obtain a predicted indoor temperature at a target time; and determining whether to adjust the operating parameter of a temperature adjusting device in advance according to the temperature difference between the predicted indoor temperature and a current indoor temperature, and controlling the temperature adjusting device to perform corresponding operation. In this way, the application can improve the control accuracy and environmental adaptability of the temperature adjusting device, and reduce the energy consumption of the device.

Description

Technical Field

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

[0002] Currently, intelligent temperature control devices are widely used for automatic indoor environmental regulation. However, most devices rely solely on regional weather data for control, and a uniform control strategy based solely on external weather often fails to accurately respond to actual changes in the indoor environment. This limitation easily leads to delayed temperature regulation, increased energy consumption, and a decline in user experience, reflecting that there is still room for improvement in the adaptability and precision of current intelligent temperature control. Summary of the Invention

[0003] The main purpose of this application is to provide a device control method, electronic device, and computer-readable storage medium that can improve the control accuracy and environmental adaptability of temperature regulation devices and reduce device energy consumption.

[0004] Firstly, this application provides a device control method applied to temperature regulating equipment. The method includes acquiring building attribute information, external environmental parameters, and internal environmental parameters; determining thermal parameters based on the building attribute information; substituting the thermal parameters, external environmental parameters, and internal environmental parameters into an indoor temperature prediction model to obtain a predicted indoor temperature at a target time; and determining whether to adjust the operating parameters of the temperature regulating equipment in advance based on the temperature difference between the predicted indoor temperature and the current indoor temperature, and controlling the temperature regulating equipment to perform corresponding operating operations.

[0005] Secondly, this application provides an electronic device. The electronic device includes a memory and a processor, the memory being used to store program data, and the program data being executable by the processor to implement the method described in the first technical solution.

[0006] Thirdly, this application provides a computer-readable storage medium. This computer-readable storage medium stores program data that can be executed by a processor to implement the method described in the first technical solution.

[0007] The beneficial effects of this application are as follows: Building attribute information affects the temperature regulation of temperature control equipment. Integrating the building attribute information corresponding to the indoor environment into the control and operation process of temperature control equipment enables the equipment to more accurately predict indoor temperature change trends. This method effectively avoids the control lag caused by relying solely on weather data, reduces indoor temperature fluctuations, improves indoor temperature comfort, and achieves precise temperature control. Simultaneously, by calculating and controlling the indoor heat load based on building attribute information, the temperature control equipment avoids unnecessary energy waste, significantly reduces energy consumption for cooling and heating, and improves system energy efficiency. This approach achieves personalized and highly efficient equipment management. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a flowchart illustrating the first embodiment of the device control method provided in this application;

[0010] Figure 2 This is a flowchart illustrating the second embodiment of the device control method provided in this application;

[0011] Figure 3 This is a flowchart illustrating the third embodiment of the device control method provided in this application;

[0012] Figure 4 This is a flowchart illustrating the fourth embodiment of the device control method provided in this application;

[0013] Figure 5 This is a flowchart illustrating the fifth embodiment of the device control method provided in this application;

[0014] Figure 6 This is a schematic diagram of the installation of an external environment perception module according to this application;

[0015] Figure 7 This is a structural schematic diagram of the external environment perception module of this application;

[0016] Figure 8 This is a schematic diagram of the structure of an embodiment of the electronic device of this application;

[0017] Figure 9 This is a schematic diagram of the structure of an embodiment of the computer-readable storage medium of this application. Detailed Implementation

[0018] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0020] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0021] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0022] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0023] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0024] In the description of the embodiments of this application, the technical terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application.

[0025] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0026] Accurate prediction of indoor heat load and precise control of indoor temperature require consideration not only of outdoor environmental factors but also of the building's own characteristics. Based on these considerations, this application provides an equipment control method. Specific examples are provided below.

[0027] like Figure 1 As shown, Figure 1 This is a flowchart illustrating a first embodiment of the device control method provided in this application. The method is applied to a temperature regulating device. It includes the following steps:

[0028] S11: Obtain building attribute information, external environment parameters, and internal environment parameters.

[0029] Building attribute information includes basic information related to the building's structure and materials, such as the residential wall structure (e.g., the composition of common exterior surface layers / structural layers / insulation layers / interior layers), the materials used for the walls (e.g., clay porous bricks, concrete, sandwich panels, etc.), the thickness of each layer, the floor height, the room orientation, the window type (e.g., double / triple glazing, Low-E glass film), the exterior wall area, and the window area.

[0030] The above parameters can be obtained by the user through the temperature control device's app interface after installation. The app interface provides visual options and guidance to help users select the correct information.

[0031] External environmental parameters can include outdoor solar radiation, temperature, wind speed, humidity, and other environmental parameters. Conventional temperature control devices only acquire the temperature parameter from the external environment, while this application also includes additional parameters such as wind speed and humidity, making the temperature control of the device more precise and efficient.

[0032] Internal environmental parameters can include heat dissipation from indoor emission sources, indoor temperature, humidity, and other environmental parameters.

[0033] S12: Determine thermal parameters based on building attribute information.

[0034] Thermal parameters can include thermal conductivity, specific heat capacity, thermal inertia parameters, etc.

[0035] Temperature control equipment can be deployed locally with a building thermal parameter database, or it can be connected to the cloud and access a cloud-based building thermal parameter database. The temperature control equipment matches the corresponding thermal parameters from the local database or server database based on the acquired building attribute information.

[0036] If the user-inputted building attribute information is not obtained, the temperature control device can retrieve typical building attribute information or typical thermal parameters for its location from the cloud. Typical building attribute information can be the most frequently used building attribute information in the area where the temperature control device is installed, i.e., the most common building attribute information in that area. Typical thermal parameters can be the most frequently used thermal parameters for the buildings in the area where the temperature control device is installed, i.e., the most common thermal parameters for that area.

[0037] The building thermal parameter database can collect building attribute information of some common buildings in various regions in advance, determine the corresponding thermal parameters and store them for easy retrieval later. It also ensures that even if no valid building attribute information is received, typical data can be used as initial data to help temperature regulation equipment operate.

[0038] S13: Substitute the thermal parameters, external environmental parameters, and internal environmental parameters into the indoor temperature prediction model to obtain the predicted indoor temperature at the target time.

[0039] The acquired thermal parameters and real-time external environmental data are substituted into the indoor temperature prediction model to calculate and predict the indoor temperature.

[0040] In the indoor temperature prediction model, the prediction process for indoor temperature includes the following steps:

[0041] Substitute thermal parameters, external environmental data, and internal environmental parameters into the indoor heat load model. The formula for the indoor heat load model is as follows:

[0042] Q total (t)=Qwin (t)+Q wall (t)+Q vent (t)+Q inf (t)+Q int (t)+Q latent (t)

[0043] Among them, the heat loads Q are, in order, the total heat load, the heat transfer from radiation and convection on the window surface, the dynamic heat transfer load of the wall, the heat load of ventilation, the heat load of infiltration air, the internal heat gain, and the latent heat load.

[0044] After obtaining the total heat load from the indoor heat load model, the change in indoor temperature can be obtained:

[0045]

[0046] Where t is time; T in (t) represents the indoor temperature; Q total (t) represents the total heat load; ρ air V represents indoor air density. room C represents the room volume. p Specific heat capacity.

[0047] Based on the change in indoor temperature, the predicted indoor temperature at the target time can be determined.

[0048] S14: Based on the temperature difference between the predicted indoor temperature and the current indoor temperature, determine whether to adjust the operating parameters of the temperature control equipment in advance and control the temperature control equipment to perform the corresponding operation.

[0049] After determining the predicted indoor temperature at the target time, the indoor temperature change trend is determined based on the temperature difference between the predicted indoor temperature and the current indoor temperature. This analysis then determines whether to adjust the operating parameters of the temperature control equipment in advance, thereby controlling the equipment's operation accordingly. If advance adjustment is necessary, the operating parameters are adjusted in advance to respond to potentially large temperature changes. If not, the operating parameters are not adjusted in advance, and the equipment operates according to normal procedures.

[0050] In this embodiment, building attribute information affects the temperature regulation of the temperature control equipment. Integrating the building attribute information corresponding to the indoor environment into the control and operation process of the temperature control equipment allows for more accurate prediction of indoor temperature change trends. This method effectively avoids the control lag inherent in relying solely on weather data, reduces indoor temperature fluctuations, improves indoor temperature comfort, and achieves precise temperature control. Simultaneously, the temperature control equipment calculates and controls the indoor heat load based on the building attribute information, avoiding unnecessary energy waste, significantly reducing energy consumption for cooling and heating, and improving system energy efficiency. Furthermore, based on the temperature difference between the predicted and current indoor temperatures, it determines whether to adjust the operating parameters of the temperature control equipment in advance, helping to reduce indoor temperature fluctuations, improve user comfort, and prevent the temperature control equipment from restarting or operating at high power when temperature differences are large, thus reducing system energy consumption. The above method achieves personalized and highly efficient equipment management.

[0051] like Figure 2 As shown, Figure 2 This is a flowchart illustrating a second embodiment of the device control method provided in this application. The method is a further extension of the above embodiments and includes the following steps:

[0052] S21: Upon reaching the target time, obtain the current indoor target temperature.

[0053] S22: Obtain the temperature difference between the target temperature and the current indoor temperature, and adjust the corresponding weights of the thermal parameters in the indoor temperature prediction model based on the comparison result of the temperature difference and the preset error threshold.

[0054] After determining whether to adjust the operating parameters of the temperature control equipment in advance and performing corresponding operations based on the temperature difference between the predicted indoor temperature and the current indoor temperature, the indoor temperature at the target time is obtained, i.e., the target temperature. Since the equipment operation control is based on the predicted indoor temperature, the temperature difference between the target temperature and the previously obtained current indoor temperature can be obtained. This temperature difference is compared with a preset error threshold to determine the accuracy of the indoor temperature prediction model, thereby adjusting the corresponding weights of the thermal parameters and improving the prediction accuracy of the model.

[0055] Assuming the predicted indoor temperature at the target time is T-pred, and the target temperature obtained at the target time is T-in, then the temperature difference ΔT = |T-pred - T-in| can be obtained.

[0056] The temperature difference ΔT is compared with a preset error threshold ε in the model. When the temperature difference exceeds the error threshold, the model's dynamic correction mechanism is triggered. Methods such as backpropagation algorithms can be used to automatically adjust the weights of thermal parameters such as the building's thermal conductivity and thermal inertia, as well as other relevant parameters, in the prediction model to reduce prediction errors. After multiple model iterations, the prediction model will provide a more accurate forecast of the building's indoor temperature.

[0057] like Figure 3 As shown, Figure 3 This is a schematic flowchart of a third embodiment of the device control method provided in this application. It includes the following steps:

[0058] S31: After the temperature control equipment has finished operating, monitor the indoor and outdoor temperatures.

[0059] S32: In response to the absolute value of the maximum temperature difference between the outdoor and indoor temperatures exceeding a first threshold within a preset time interval, the target thermal parameters are calculated based on the indoor and outdoor temperature data within the time interval.

[0060] S33: Update the thermal parameters used in the indoor temperature prediction model with the target thermal parameters.

[0061] Considering that temperature control equipment is put into use immediately after installation and the building attribute information provided by the user is not obtained, the thermal parameters used may be inaccurate. Alternatively, due to building aging, the previously used thermal parameters may not correspond to the current building attribute information. Based on these or similar reasons, the thermal parameters corresponding to the current building can be inferred through the aforementioned inversion process. The principle behind this is to utilize the natural equilibrium process of indoor and outdoor temperatures during the period when the temperature control equipment is turned off to calculate the corresponding building's thermal parameters.

[0062] After the temperature control equipment has finished operating, monitor the changes in indoor and outdoor temperatures when the equipment is shut down. When acquiring indoor and outdoor temperatures, ensure there are no additional disturbances indoors. No additional disturbances can include no human activity, no people inside, and no opening or closing of curtains. Acquire the outdoor temperature T-out and the indoor temperature T-in.

[0063] During the detection of indoor and outdoor temperatures, if a significant change in outdoor temperature is detected within a short period of time, i.e., the absolute value of the maximum temperature difference exceeding a first threshold within a preset time interval, a temperature disturbance is considered to have occurred. The temperature data within this time interval, i.e., the temperature data of the temperature disturbance event, can be used to calculate the corresponding thermal parameters of the building. The preset time interval can be set according to specific circumstances. In this embodiment, the preset time interval can be set to 30-60 minutes, due to the inherent lag and delay in indoor temperature readings.

[0064] Upon detecting a temperature disturbance event, the indoor and outdoor temperatures for the corresponding time interval are acquired. The target thermal parameters can then be calculated based on this temperature data.

[0065] Thermal parameters can include the thermal response rate coefficient. The thermal response rate coefficient can be calculated using the following formula:

[0066] T in(t) =T in0 +ΔT×(1-e -kt )

[0067] Where Tin(t) is the indoor temperature at a certain time t, Tin0 is the initial temperature before the disturbance, ΔT is the outdoor disturbance amplitude, and K is the thermal response rate coefficient.

[0068] Thermal parameters may include thermal conductivity, thermal diffusivity, thermal inertia, etc. In some embodiments, when calculating the target thermal parameters based on indoor and outdoor temperature data within a time interval, the indoor and outdoor temperature data within the time interval can be processed using a one-dimensional unsteady-state heat transfer equation combined with least squares curve fitting to calculate the aforementioned thermal parameters.

[0069] The target thermal parameters obtained from the above inversion process are more accurate than the original thermal parameters. Therefore, they are substituted into the indoor temperature prediction model to update the original thermal parameters, and the target thermal parameters replace the thermal parameters currently in use.

[0070] After the target thermal parameters are substituted, the aforementioned error feedback adjustment mechanism will still be executed to continuously iterate the prediction model and adjust the corresponding weights of the target thermal parameters in the model.

[0071] like Figure 4 As shown, Figure 4 This is a schematic flowchart of the fourth embodiment of the device control method provided in this application. It includes the following steps:

[0072] S41: Correct the external environment parameters.

[0073] Because the sensors installed on the outdoor unit of temperature control equipment to acquire outdoor environmental parameters are often affected by heat dissipation from compressors, fans, etc., resulting in thermal interference, the measured external environmental parameters are distorted. Furthermore, the outdoor unit lacks a device for acquiring outdoor wind speed.

[0074] Therefore, this application will modify the external environmental parameters before using them to obtain more accurate external environmental parameters.

[0075] S42: Substitute the corrected external environmental parameters, thermal parameters, and internal environmental parameters into the indoor temperature prediction model to obtain the predicted indoor temperature at the target time.

[0076] By using corrected external environmental parameters for temperature prediction, more accurate temperature predictions can be obtained, enabling more precise temperature control of temperature-regulating equipment.

[0077] like Figure 5 As shown, Figure 5 This is a schematic flowchart of the fifth embodiment of the device control method provided in this application. It includes the following steps:

[0078] S51: Filter the external environment parameters to obtain the filtered environment parameters.

[0079] When correcting external environmental parameters, the first step is to filter the signal. A filter is used to smooth the original external environmental parameters, filtering out high-frequency noise caused by sudden external disturbances (such as sudden changes in wind speed, fluctuations in sunlight reflection heat, etc.).

[0080] Taking temperature parameters as an example, the formula for filtering temperature parameters is as follows:

[0081]

[0082] in, For smoothing coefficients, a value range of 0.1 to 0.3 is recommended. T represents the filtered outdoor temperature at the current moment. out (t) represents the outdoor temperature directly collected at the current moment; t represents time.

[0083] S52: Input the filtered environment parameters into the drift compensation model to obtain the corrected external environment parameters.

[0084] Taking temperature parameters as an example, in order to solve the zero-point offset caused by long-term operation of the sensor or the slow offset caused by sunlight radiation, a reference trend curve will be introduced to dynamically adjust the environmental parameters.

[0085] The steps for obtaining the drift compensation model include: acquiring temperature change data of the temperature control equipment on a set reference day; and constructing a drift compensation model based on the temperature change data.

[0086] For the temperature parameter, the base date is set as a windless, cloudy day. The temperature variation data T for the entire day under this base date is obtained. ref (t), where the temperature change data is the aforementioned baseline trend curve. The drift compensation model is obtained by comparing the deviation between the currently acquired external temperature and the baseline trend curve at the corresponding time. The drift compensation model is as follows:

[0087]

[0088] in, This is the temperature value after drift compensation; T ref (t) represents the temperature of the outdoor unit casing, PCB, or other components such as the air conditioner outdoor unit detected on the baseline date. The average temperature of the outdoor unit in the 5 minutes before it starts up.

[0089] After smoothing filtering and drift compensation, the temperature parameters are finally input into the indoor temperature prediction model for temperature prediction.

[0090] Conventional temperature control devices only acquire the temperature parameters of the external environment, while the external environment temperature parameters in this application also include wind speed, humidity, etc. Other external environment parameters such as wind speed and humidity can be corrected by referring to the steps described in the above embodiments.

[0091] In some embodiments, controlling the operation of a temperature regulating device based on a comparison between a predicted indoor temperature and a current indoor temperature includes: during the process of the temperature regulating device maintaining a set temperature, in response to a predicted indoor temperature being greater than the current indoor temperature and the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature being greater than a second threshold, adjusting the operating parameters of the temperature regulating device in advance to maintain the indoor temperature within a preset range of the set temperature; in response to a predicted indoor temperature being less than the current indoor temperature and the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature being greater than the second threshold, adjusting the operating parameters of the temperature regulating device in advance to maintain the indoor temperature within a preset range of the set temperature or not adjusting the operating parameters of the temperature regulating device in advance; and in response to a temperature difference between the predicted indoor temperature and the current indoor temperature being less than the second threshold, not adjusting the operating parameters of the temperature regulating device in advance.

[0092] When the temperature control device is running, it will determine whether feedforward control is needed based on the deviation between the predicted indoor temperature and the current indoor temperature, so that the current indoor temperature is maintained within the preset range of the set temperature.

[0093] If the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature at the target time is greater than the second threshold, and the predicted indoor temperature is greater than the current indoor temperature, it indicates a significant increase in the predicted indoor temperature. In this case, the operating parameters of the temperature control equipment, such as compressor frequency, fan speed, indoor unit fan speed, and electronic expansion valve opening, should be adjusted in advance. Typically, parameter adjustments are made only when a significant deviation between the current indoor temperature and the set temperature is detected. However, this application, by detecting the predicted indoor temperature and judging the temperature difference between the predicted and current indoor temperatures, adjusts the operating parameters in advance to offset the impact of temperature changes, ensuring the indoor temperature remains within the preset range of the set temperature. If the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature at the target time is greater than the second threshold, and the predicted indoor temperature is less than the current indoor temperature, it indicates a significant decrease in the predicted indoor temperature. In this case, the operating parameters can be adjusted in advance to offset the impending temperature decrease, or no advance adjustment may be necessary. If the absolute value of the temperature difference between the predicted and current indoor temperatures is less than the second threshold, it indicates a small temperature change, and no advance adjustment of the operating parameters is required.

[0094] In the above embodiments, the temperature regulation device used in the device control method includes the following modules: indoor unit, outdoor unit, external environment sensing module, and signal processing module.

[0095] An indoor unit is a temperature-regulating device located in the indoor environment.

[0096] The outdoor unit is a temperature control device located in the outdoor environment.

[0097] The external environment sensing module is installed on the outdoor unit. (Refer to...) Figure 6 , Figure 6 This is a schematic diagram of the installation of an external environment sensing module.

[0098] Furthermore, the external environment sensing module includes an environment sensing module, a sunshade and radiation protection cover, and a heat-insulating mounting bracket.

[0099] Reference Figure 7 , Figure 7 This is a structural diagram of the external environment perception module.

[0100] The environmental sensing module includes an integrated temperature and humidity sensor and a wind speed sensor, used to collect outdoor environmental parameters such as temperature, relative humidity, and wind speed in real time. It also has signal transmission capabilities, enabling it to transmit parameter information to the indoor unit's mainboard.

[0101] A sunshade and radiation shield covers the exterior of the environmental sensing module. It primarily consists of a sunshade and a reflective layer. The structure is louvered, composed of multiple layers of parallel louver panels, tilted at approximately 45° to balance ventilation and light blocking. The exterior is coated with a reflective layer, optionally made of anodized aluminum alloy coated with a high-reflectivity PTFE layer, enabling it to reflect most solar radiation and isolate external heat radiation. The radiation shield's function is to create a shaded, well-ventilated measurement environment for the sensor while ensuring air circulation, preventing direct sunlight and rain from causing deviations in temperature and humidity readings. This structure significantly improves the accuracy and stability of measurements.

[0102] The environmental sensing module is fixed to the outdoor unit of the temperature control equipment and the exterior wall via a thermally insulated mounting bracket, which in turn is fixed to the outdoor unit via a mounting base. The thermally insulated mounting bracket is made of a low thermal conductivity material, preferably lightweight insulation materials such as hollow ceramic or high-closed-cell aluminum foam. This minimizes the impact of heat conduction from the outdoor unit casing on the sensor. For example, when the air conditioner outdoor unit is running, its metal casing temperature may rise; the thermally insulated mounting bracket blocks heat conduction from the casing to the sensor, preventing readings from being interfered with by the outdoor unit's own heat. Simultaneously, the thermally insulated mounting bracket has a telescopic and angle-adjustable mechanism, allowing adjustment of the sensor's distance and orientation during installation to ensure it is positioned in a shaded, well-ventilated location close to the exterior wall. Shading avoids direct sunlight, while proximity to the wall allows for sensing of the microclimate conditions near the wall, obtaining the most representative external environmental parameters. The thermally insulated mounting bracket supports extension, shortening, and rotation within a certain range, easily adapting to different models of temperature control equipment and installation environments, achieving versatility in module installation and optimal measurement location.

[0103] The signal processing module, along with the temperature and humidity sensors within the environmental sensing module and the external anemometer, inputs the collected information to the signal transmission module. The signal transmission module then outputs the signal to the local signal processing unit (indoor unit motherboard). This signal processing unit incorporates a delay filtering algorithm and operational status compensation logic. Delay filtering smooths real-time data, filtering out short-term spikes and noise (such as sudden wind speed changes caused by gusts or occasional environmental noise interference with temperature). Operational status compensation refers to correcting sensor data based on the current operating status of the outdoor unit: when the compressor and fan are running, the local temperature and airflow around the outdoor unit may deviate from the environmental average. Therefore, the system can compensate for and correct the measured temperature and wind speed by incorporating the outdoor unit's operating parameters. For example, a correlation model between the compressor exhaust temperature and the sensor reading deviation can be established, automatically deducting the estimated deviation when the compressor is turned on.

[0104] The signal transmission module sends information to the main control system of the indoor unit of the temperature control equipment. The casing and connectors of the signal transmission module need to be sealed and protected, and designed with a waterproof and breathable structure to ensure that it is not affected by rain or dust during long-term outdoor operation, while also balancing the pressure and humidity of the internal components. The external environment sensing module is powered by the outdoor unit, which draws power from its power interface. For convenient power supply, the external environment sensing module can also be integrated into an independent power supply unit, with a small solar panel installed on the top of the sunshade, forming a self-powered system in conjunction with the built-in lithium battery of the environment sensing module. During the day, the solar panel powers the system and charges the battery; at night, the battery provides power.

[0105] Based on the above component design, the recommended installation location for the external environment sensing module is on the shaded side of the outdoor unit of the temperature control equipment, away from the condenser air outlet and close to the exterior wall surface of the residence. (Refer to...) Figure 6 The external environment sensing module can be fixed to the side of the outdoor unit or directly to the exterior wall using the included telescopic bracket, placing the sensor probe in the space behind the outdoor unit against the wall. This position typically avoids direct interference from the exhaust air of the temperature control unit, accurately reflecting the temperature and humidity of the air near the exterior wall. Furthermore, being located at the boundary layer of the building wall, the measured data provides a more accurate reflection of the actual heating conditions of the residence. In short, the combination of the chosen installation location and the flexible adjustment of the bracket ensures that the external environment sensing module acquires accurate environmental data without affecting the normal operation of the outdoor unit.

[0106] like Figure 8 As shown, Figure 8 This is a schematic diagram of the structure of an embodiment of the electronic device of this application.

[0107] The electronic device includes a processor 110 and a memory 120.

[0108] Processor 110 controls the operation of electronic devices. Processor 110 may also be referred to as a CPU (Central Processing Unit). Processor 110 may be an integrated circuit chip with signal sequence processing capabilities. Processor 110 may also be a general-purpose processor, a digital signal sequence processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0109] The memory 120 stores the instructions and program data required for the processor 110 to operate.

[0110] The processor 110 is used to execute instructions to implement the methods provided in any of the embodiments and possible combinations of the device control methods described above in this application.

[0111] like Figure 9 As shown, Figure 9 This is a schematic diagram of the structure of an embodiment of the computer-readable storage medium of this application.

[0112] One embodiment of the readable storage medium of this application includes a memory 210 that stores program data that, when executed, implements the methods provided in any embodiment and possible combinations of the device control methods of this application.

[0113] The memory 210 may include a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or other media that can store program instructions. Alternatively, it may be a server that stores the program instructions, which can send the stored program instructions to other devices for execution or execute the stored program instructions itself.

[0114] In summary, building attribute information influences the temperature regulation of temperature control equipment. Integrating building attribute information corresponding to the indoor environment into the control and operation process of temperature control equipment allows for more accurate prediction of indoor temperature change trends. This method effectively avoids the control lag inherent in relying solely on weather data, reduces indoor temperature fluctuations, improves indoor temperature comfort, and achieves precise temperature control. Simultaneously, by calculating and controlling the indoor heat load based on building attribute information, temperature control equipment avoids unnecessary energy waste, significantly reducing energy consumption for cooling and heating, and improving system energy efficiency. Furthermore, by determining whether to adjust the operating parameters of the temperature control equipment in advance based on the temperature difference between the predicted and current indoor temperatures, it helps reduce indoor temperature fluctuations, improves user comfort, and avoids the equipment starting up or operating at high power when temperature differences are large, thus reducing system energy consumption. The above methods achieve personalized and highly efficient equipment management.

[0115] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices 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.

[0116] 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.

[0117] 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.

[0118] If the integrated units in the other embodiments described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of 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 methods 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.

[0119] 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 device control method, characterized in that, Applied to temperature control equipment, the method includes: Obtain building attribute information, external environment parameters, and internal environment parameters; Determine thermal parameters based on the building attribute information; The thermal parameters, the external environmental parameters, and the internal environmental parameters are substituted into the indoor temperature prediction model to obtain the predicted indoor temperature at the target time. Based on the temperature difference between the predicted indoor temperature and the current indoor temperature, determine whether to adjust the operating parameters of the temperature regulating device in advance and control the temperature regulating device to perform corresponding operating operations. Upon reaching the target time, obtain the current indoor target temperature; The temperature difference between the target temperature and the current indoor temperature is obtained, and the weights of the thermal parameters in the indoor temperature prediction model are adjusted according to the comparison result of the temperature difference and the preset error threshold. The method further includes: After the temperature control equipment has finished operating, monitor the indoor and outdoor temperatures. In response to the absolute value of the maximum temperature difference between the indoor and outdoor temperatures exceeding a first threshold within a preset time interval, the target thermal parameters are calculated based on the indoor and outdoor temperature data within the time interval. The thermal parameters used in the indoor temperature prediction model are updated with the target thermal parameters.

2. The method according to claim 1, characterized in that, The step of calculating the target thermal parameters based on the indoor and outdoor temperature data within the time interval includes: The indoor and outdoor temperature data within the time interval are processed using a one-dimensional unsteady heat transfer equation and combined with least squares curve fitting to calculate the thermal parameters.

3. The method according to claim 1, characterized in that, Before substituting the thermal parameters, the external environmental parameters, and the internal environmental parameters into the indoor temperature prediction model to obtain the predicted indoor temperature at the target time, the following steps are included: The external environmental parameters are corrected. The corrected external environmental parameters, thermal parameters, and internal environmental parameters are substituted into the indoor temperature prediction model to obtain the predicted indoor temperature at the target time.

4. The method according to claim 3, characterized in that, The process of correcting the external environmental parameters includes: The external environmental parameters are filtered to obtain filtered environmental parameters; The filtered environmental parameters are input into the drift compensation model to obtain the corrected external environmental parameters.

5. The method according to claim 4, characterized in that, The steps for obtaining the drift compensation model include: Acquire temperature change data of the temperature control device on a set reference date; The drift compensation model is constructed based on the temperature change data.

6. The method according to claim 1, characterized in that, The step of determining whether to adjust the operating parameters of the temperature regulating device in advance and controlling the temperature regulating device to perform corresponding operating operations based on the temperature difference between the predicted indoor temperature and the current indoor temperature includes: During the process of maintaining the set temperature by the temperature regulating device, in response to the predicted indoor temperature being greater than the current indoor temperature, and the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature being greater than a second threshold, the operating parameters of the temperature regulating device are adjusted in advance to maintain the indoor temperature within the preset range of the set temperature. In response to the predicted indoor temperature being lower than the current indoor temperature, and the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature being greater than the second threshold, the operating parameters of the temperature regulating device are adjusted in advance to maintain the indoor temperature within the preset range of the set temperature, or the operating parameters of the temperature regulating device are not adjusted in advance. In response to the absolute value of the temperature difference between the predicted indoor temperature and the current indoor temperature being less than the second threshold, the operating parameters of the temperature regulating device are not adjusted in advance.

7. An electronic device, characterized in that, It includes a memory and a processor, the memory being used to store program data, the program data being executable by the processor to implement the method as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.

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