Air conditioner anti-condensation control method, device and equipment based on humidity reasoning and medium
By operating the air conditioner at a high frequency during its first startup and dynamically adjusting the frequency using a humidity inference model, the problem of poor anti-condensation performance under different humidity conditions is solved, achieving effective anti-condensation control and energy-saving effects.
Patent Information
- Application Number
- CN202511763845.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-01-23
AI Technical Summary
Existing air conditioners rely on the evaporator tube temperature control frequency under different humidity conditions, which cannot effectively prevent condensation, resulting in poor cooling performance or increased operating costs.
When the air conditioner is first turned on, it operates at high frequency, identifies ambient temperature parameters, obtains the target frequency reduction range through a humidity inference model, and performs dynamic anti-condensation control based on the temperature of the evaporator pipes.
It achieves targeted anti-condensation control of air conditioners under different humidity conditions, improves cooling effect and reduces unnecessary energy consumption, and avoids the adverse effects of condensation.
Smart Images
Figure CN121383379A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of air conditioning control technology, and in particular to an air conditioning anti-condensation control method, device, equipment and medium based on humidity inference. Background Technology
[0002] During the air conditioning cooling process, when the air humidity is high, condensation easily forms on the surface of the plastic structural parts due to their low temperature. This phenomenon is known as air conditioning condensation.
[0003] For air conditioners without humidity sensors, current anti-condensation control technology relies solely on the evaporator's internal pipe temperature to regulate frequency. However, using internal pipe temperature for control has significant limitations. At the same frequency, evaporator pipe temperatures are higher at higher humidity and lower at lower humidity; similarly, under the same humidity conditions, higher operating frequencies result in lower pipe temperatures, and lower operating frequencies result in higher pipe temperatures. Therefore, high humidity necessitates frequency reduction to improve condensation, but in reality, high humidity also leads to high internal pipe temperatures, failing to meet anti-condensation control requirements. Insufficient frequency reduction fails to achieve the anti-condensation effect; conversely, lowering the internal pipe temperature requirement leads to significant frequency reduction at low humidity, which can negatively impact cooling performance and generate complaints.
[0004] In conclusion, controlling the frequency by the temperature of the evaporator tubes under different humidity conditions cannot achieve the desired effect. Summary of the Invention
[0005] In view of the above, it is necessary to provide a method, device, equipment and medium for air conditioning anti-condensation control based on humidity inference, in order to solve the problem of poor air conditioning anti-condensation control effect.
[0006] A humidity-based inference-based air conditioning anti-condensation control method, comprising: In response to the anti-condensation control command for the target air conditioner, when the target air conditioner is turned on for the first time in cooling mode, the target air conditioner is controlled to operate at high frequency; When the target air conditioner continues to run for a first preset time, the ambient temperature parameter of the target air conditioner is identified; The ambient temperature parameters are input into the humidity inference model to perform humidity inference, and the target inference humidity and target frequency reduction amplitude are obtained. The target air conditioner is controlled to operate at a reduced frequency according to the target frequency reduction range, and the current evaporator internal pipe temperature of the target air conditioner is obtained after continuous operation for a second preset time. The target air conditioner is controlled to prevent condensation based on the current evaporator internal pipe temperature.
[0007] An air conditioning anti-condensation control device based on humidity inference, the air conditioning anti-condensation control device based on humidity inference includes: The control unit is used to respond to the anti-condensation control command of the target air conditioner and control the target air conditioner to operate at high frequency when the target air conditioner is turned on for the first time in cooling mode; The identification unit is used to identify the ambient temperature parameters of the target air conditioner when the target air conditioner has been running continuously for a first preset time. The inference unit is used to input the ambient temperature parameters into the humidity inference model to perform humidity inference and obtain the target inference humidity and the target frequency reduction amplitude. The control unit is also used to control the target air conditioner to operate at a reduced frequency according to the target frequency reduction range, and to obtain the current evaporator inner pipe temperature of the target air conditioner after continuous operation for a second preset time. The control unit is also used to perform anti-condensation control on the target air conditioner based on the current evaporator inner pipe temperature.
[0008] A computer device, the computer device comprising: A memory that stores at least one instruction; and a processor that executes the instruction stored in the memory to implement the humidity-based inference-based air conditioning anti-condensation control method.
[0009] A computer-readable storage medium storing at least one instruction, which is executed by a processor in a computer device to implement the humidity-based inference-based air conditioning anti-condensation control method.
[0010] As can be seen from the above technical solutions, the present invention can control the target air conditioner to run at high frequency for a first preset duration when the target air conditioner is turned on for the first time in cooling mode, so as to identify the initial ambient temperature parameters, so as to accurately infer humidity based on the initial ambient temperature parameters; and obtain the target inferred humidity and the target frequency reduction range based on the humidity inference model, so as to control the target air conditioner to run at a reasonable target frequency reduction range for a second preset duration, so as to perform targeted and effective anti-condensation control on the target air conditioner according to the real-time temperature change of the evaporator inner tube. Attached Figure Description
[0011] Figure 1 This is a flowchart of a preferred embodiment of the air conditioning anti-condensation control method based on humidity inference of the present invention.
[0012] Figure 2 This is a functional block diagram of a preferred embodiment of the air conditioner anti-condensation control device based on humidity inference of the present invention.
[0013] Figure 3 This is a schematic diagram of the structure of a computer device that implements a preferred embodiment of the air conditioning anti-condensation control method based on humidity inference according to the present invention. Detailed Implementation
[0014] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0015] like Figure 1 The diagram shown is a flowchart of a preferred embodiment of the air conditioning anti-condensation control method based on humidity inference according to the present invention. The order of the steps in this flowchart can be changed, and some steps can be omitted, depending on different requirements.
[0016] The humidity-based inference-based air conditioning anti-condensation control method is applied to one or more computer devices. The computer device is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.
[0017] The computer device can be any electronic product that can interact with the user, such as a personal computer, tablet computer, smartphone, personal digital assistant (PDA), game console, interactive network television (IPTV), smart wearable device, etc.
[0018] The computer equipment may also include network equipment and / or user equipment. The network equipment includes, but is not limited to, a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of hosts or network servers.
[0019] The server can be a standalone server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.
[0020] Artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.
[0021] Foundational technologies for artificial intelligence generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies mainly encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.
[0022] The network in which the computer device is located includes, but is not limited to, the Internet, wide area network, metropolitan area network, local area network, and virtual private network (VPN).
[0023] S10, in response to the anti-condensation control command for the target air conditioner, when the target air conditioner is turned on for the first time in cooling mode, control the target air conditioner to operate at high frequency.
[0024] In this embodiment, the target air conditioner can be an air conditioner without a humidity sensor and without ambient relative humidity.
[0025] In this embodiment, the anti-condensation control command can be automatically triggered when the target air conditioner is put into use, so as to realize full-process anti-condensation control of the target air conditioner throughout its operation, and avoid adverse effects caused by condensation, such as increased operating costs and reduced cooling effect.
[0026] It is understandable that when an air conditioner is cooling, the evaporator temperature is lower than the dew point temperature of the indoor air. Water vapor in the air will condense into water on the surface of the evaporator, thus achieving dehumidification. Therefore, air conditioners are prone to condensation in cooling mode.
[0027] Furthermore, when an air conditioner is first turned on, the indoor environment is usually in a naturally high humidity state (such as when the unit has been idle for a long time or at the beginning of a humid season), with evenly distributed and relatively high humidity levels. This initial high humidity environment can serve as a baseline scenario for subsequent humidity inference.
[0028] In this embodiment, controlling the target air conditioner to operate at high frequency includes: Control the target air conditioner to operate at the target frequency; Wherein, the target frequency is greater than or equal to a preset frequency threshold.
[0029] The preset frequency threshold can be a relatively high frequency threshold; if it is greater than or equal to the preset frequency threshold, it indicates that the air conditioner is operating at a high frequency.
[0030] S11, when the target air conditioner continues to run for a first preset time, the ambient temperature parameter of the target air conditioner is identified.
[0031] In this embodiment, the first preset duration can be configured according to air conditioning performance, working environment, etc. For example, the first preset duration can be configured to 15 minutes.
[0032] In this embodiment, by controlling the target air conditioner to operate at high frequency for a period of time, the target air conditioner can quickly reach a stable operating state.
[0033] Specifically, when an air conditioner operates at high frequency, components such as the compressor and evaporator experience heavy workloads. Parameters such as the ambient temperature, evaporator pipe temperature, and compressor frequency will exhibit a strong correlation with humidity changes within a short period. Furthermore, high-frequency operation represents a high-load condition for the air conditioner. Under this condition, the impact of different humidity environments on equipment operation is amplified, thus aiding in accurately and quickly identifying this pattern after a period of operation.
[0034] In this embodiment, identifying the ambient temperature parameters of the target air conditioner includes: The evaporator inner pipe temperature of the target air conditioner is obtained as the target evaporator inner pipe temperature; The inner ring temperature of the target air conditioner is obtained as the target inner ring temperature; The difference between the target inner ring temperature and the target evaporator inner tube temperature is calculated as the target temperature difference; The target evaporator inner tube temperature, the target inner ring temperature, and the target temperature difference are determined as the ambient temperature parameters.
[0035] The inner ring temperature is the indoor ambient temperature detected by the indoor unit of the air conditioner.
[0036] Specifically, when the temperature of the evaporator's inner tubes is high, the indoor humidity is considered to be high; when the temperature of the evaporator's inner tubes is low, the indoor humidity is considered to be low.
[0037] Through the above embodiments, the initial ambient temperature parameters can be obtained and used as the basis for subsequent humidity inference.
[0038] S12, input the ambient temperature parameters into the humidity inference model to perform humidity inference, and obtain the target inferred humidity and the target frequency reduction amplitude.
[0039] In this embodiment, before inputting the ambient temperature parameter into the humidity inference model for humidity inference, the method further includes: Obtain historical air conditioning anti-condensation control data; Historical evaporator inner pipe temperature, historical temperature difference, historical humidity, and historical frequency reduction amplitude were extracted from the historical air conditioning anti-condensation control data. Identify the mapping relationship between the historical evaporator inner tube temperature, the historical temperature difference, the historical humidity, and the historical frequency reduction amplitude; The humidity inference model is established based on the mapping relationship.
[0040] For example, the mapping relationship can be represented as shown in Table 1 below: Table 1 The humidity inference model is based on the above mapping relationship to simulate the most appropriate and reasonable humidity and frequency reduction.
[0041] Through the above embodiments, various parameters that are closely related to anti-condensation control can be extracted based on historical experience and data, and a mapping relationship between the parameters can be established to form a unified and easy-to-use humidity inference model to assist in subsequent rapid humidity inference.
[0042] In this embodiment, the step of inputting the ambient temperature parameter into the humidity inference model to perform humidity inference and obtain the target inferred humidity and the target frequency reduction magnitude includes: Identify the first temperature range to which the target evaporator inner tube temperature belongs, and identify the second temperature range to which the target temperature difference belongs; The humidity that has a common mapping relationship with the first temperature range and the second temperature range is obtained as the target inference humidity; The frequency reduction amplitude that has a common mapping relationship with the first temperature range and the second temperature range is obtained as the target frequency reduction amplitude.
[0043] For example, referring to Table 1, when the first temperature range of the target evaporator inner tube temperature is [18, 30] and the second temperature range of the target temperature difference is [0, 10), then the humidity with a common mapping relationship is high humidity, and the frequency reduction amplitude with a common mapping relationship is 20Hz. In other words, through the inference of the humidity inference model, it can be concluded that the target inferred humidity is high humidity, and the target frequency reduction amplitude is 20Hz.
[0044] S13, control the target air conditioner to operate at a reduced frequency according to the target frequency reduction range, and obtain the current evaporator inner pipe temperature of the target air conditioner after continuous operation for a second preset time.
[0045] In this embodiment, the second preset duration can also be configured according to the performance parameters of the target air conditioner and the environment in which the target air conditioner is located. For example, the second preset duration can be configured to 2 hours.
[0046] In this embodiment, after the target air conditioner operates at a certain frequency reduction rate for a period of time, various parameters can reach stability, and the target air conditioner can enter the adaptive operation state. At this time, the current evaporator inner pipe temperature can more realistically reflect the temperature characteristics under the current humidity.
[0047] S14, perform anti-condensation control on the target air conditioner based on the current evaporator internal pipe temperature.
[0048] In this embodiment, the step of controlling the target air conditioner to prevent condensation based on the current evaporator inner pipe temperature includes: Obtain a first temperature threshold and a second temperature threshold; wherein the first temperature threshold is greater than the second temperature threshold; When the current evaporator inner tube temperature is greater than the first temperature threshold, the target air conditioner is subjected to frequency upsampling; or When the current evaporator inner pipe temperature is greater than or equal to the second temperature threshold and less than or equal to the first temperature threshold, maintain the current frequency of the target air conditioner; or When the current evaporator internal pipe temperature is lower than the second temperature threshold, the target air conditioner is subjected to frequency reduction processing.
[0049] The first temperature threshold and the second temperature threshold can be optimal values selected after extensive experimentation. For example, the first temperature threshold can be configured to 16°C, and the second temperature threshold can be configured to 15°C.
[0050] Accordingly, when the current evaporator inner pipe temperature is greater than 16°C, the target air conditioner is frequency-increased; when the current evaporator inner pipe temperature is greater than or equal to 15°C and less than or equal to 16°C, the current frequency control mode of the target air conditioner remains unchanged; when the current evaporator inner pipe temperature is less than 15°C, the target air conditioner is frequency-decreased.
[0051] Through the above embodiments, after the target air conditioner is running stably, the anti-condensation frequency increase / decrease strategy and amplitude can be controlled according to the change of the evaporator pipe temperature. This prevents poor anti-condensation effect or poor cooling effect caused by excessive or insufficient frequency reduction amplitude, thereby achieving effective follow-up control and improving the rationality and effectiveness of air conditioner anti-condensation control.
[0052] In this embodiment, the method further includes: When performing frequency upscaling on the target air conditioner, the upscaling process is stopped once the magnitude of the upscaling reaches a first threshold; or When the target air conditioner is frequency reduced, the frequency reduction process will stop when the reduction reaches the second threshold.
[0053] The first threshold and the second threshold can be optimal values selected based on a large number of experiments. For example, the first threshold and the second threshold can be configured to 20Hz.
[0054] Accordingly, when performing up-frequency control, if the up-frequency amplitude exceeds 20Hz, the up-frequency will stop; when performing down-frequency control, if the down-frequency amplitude exceeds 20Hz, the down-frequency will stop.
[0055] Experiments have shown that the air conditioning anti-condensation control scheme of this embodiment can achieve the following effects: when the relative humidity is 60%, the frequency reduction is 0 at the high fan speed; when the relative humidity is 70%, the frequency reduction is 10Hz at the high fan speed; when the relative humidity is 80%, the frequency reduction is 10Hz at the high fan speed; and when the relative humidity is 90%, the frequency reduction is 20Hz at the high fan speed.
[0056] As can be seen from the above technical solutions, the present invention can control the target air conditioner to run at high frequency for a first preset duration when the target air conditioner is turned on for the first time in cooling mode, so as to identify the initial ambient temperature parameters, so as to accurately infer humidity based on the initial ambient temperature parameters; and obtain the target inferred humidity and the target frequency reduction range based on the humidity inference model, so as to control the target air conditioner to run at a reasonable target frequency reduction range for a second preset duration, so as to perform targeted and effective anti-condensation control on the target air conditioner according to the real-time temperature change of the evaporator inner tube.
[0057] like Figure 2 The diagram shown is a functional block diagram of a preferred embodiment of the air conditioner anti-condensation control device based on humidity inference of the present invention. The air conditioner anti-condensation control device 11 based on humidity inference includes a control unit 110, an identification unit 111, and an inference unit 112. In this invention, a module / unit refers to a series of computer program segments that can be executed by a processor and perform a fixed function, and are stored in a memory. In this embodiment, the functions of each module / unit will be described in detail in subsequent embodiments.
[0058] The control unit 110 is used to respond to the anti-condensation control command of the target air conditioner and control the target air conditioner to operate at high frequency when the target air conditioner is turned on for the first time in cooling mode.
[0059] In this embodiment, the target air conditioner can be an air conditioner without a humidity sensor and without ambient relative humidity.
[0060] In this embodiment, the anti-condensation control command can be automatically triggered when the target air conditioner is put into use, so as to realize full-process anti-condensation control of the target air conditioner throughout its operation, and avoid adverse effects caused by condensation, such as increased operating costs and reduced cooling effect.
[0061] It is understandable that when an air conditioner is cooling, the evaporator temperature is lower than the dew point temperature of the indoor air. Water vapor in the air will condense into water on the surface of the evaporator, thus achieving dehumidification. Therefore, air conditioners are prone to condensation in cooling mode.
[0062] Furthermore, when an air conditioner is first turned on, the indoor environment is usually in a naturally high humidity state (such as when the unit has been idle for a long time or at the beginning of a humid season), with evenly distributed and relatively high humidity levels. This initial high humidity environment can serve as a baseline scenario for subsequent humidity inference.
[0063] In this embodiment, the control unit 110 controls the target air conditioner to operate at high frequency, including: Control the target air conditioner to operate at the target frequency; Wherein, the target frequency is greater than or equal to a preset frequency threshold.
[0064] The preset frequency threshold can be a relatively high frequency threshold; if it is greater than or equal to the preset frequency threshold, it indicates that the air conditioner is operating at a high frequency.
[0065] The identification unit 111 is used to identify the ambient temperature parameters of the target air conditioner when the target air conditioner runs continuously for a first preset time.
[0066] In this embodiment, the first preset duration can be configured according to air conditioning performance, working environment, etc. For example, the first preset duration can be configured to 15 minutes.
[0067] In this embodiment, by controlling the target air conditioner to operate at high frequency for a period of time, the target air conditioner can quickly reach a stable operating state.
[0068] Specifically, when an air conditioner operates at high frequency, components such as the compressor and evaporator experience heavy workloads. Parameters such as the ambient temperature, evaporator pipe temperature, and compressor frequency will exhibit a strong correlation with humidity changes within a short period. Furthermore, high-frequency operation represents a high-load condition for the air conditioner. Under this condition, the impact of different humidity environments on equipment operation is amplified, thus aiding in accurately and quickly identifying this pattern after a period of operation.
[0069] In this embodiment, the identification unit 111 identifies the ambient temperature parameters of the target air conditioner, including: The evaporator inner pipe temperature of the target air conditioner is obtained as the target evaporator inner pipe temperature; The inner ring temperature of the target air conditioner is obtained as the target inner ring temperature; The difference between the target inner ring temperature and the target evaporator inner tube temperature is calculated as the target temperature difference; The target evaporator inner tube temperature, the target inner ring temperature, and the target temperature difference are determined as the ambient temperature parameters.
[0070] The inner ring temperature is the indoor ambient temperature detected by the indoor unit of the air conditioner.
[0071] Specifically, when the temperature of the evaporator's inner tubes is high, the indoor humidity is considered to be high; when the temperature of the evaporator's inner tubes is low, the indoor humidity is considered to be low.
[0072] Through the above embodiments, the initial ambient temperature parameters can be obtained and used as the basis for subsequent humidity inference.
[0073] The inference unit 112 is used to input the ambient temperature parameters into the humidity inference model to perform humidity inference, and obtain the target inference humidity and the target frequency reduction amplitude.
[0074] In this embodiment, before inputting the ambient temperature parameter into the humidity inference model for humidity inference, historical air conditioning anti-condensation control data is obtained; Historical evaporator inner pipe temperature, historical temperature difference, historical humidity, and historical frequency reduction amplitude were extracted from the historical air conditioning anti-condensation control data. Identify the mapping relationship between the historical evaporator inner tube temperature, the historical temperature difference, the historical humidity, and the historical frequency reduction amplitude; The humidity inference model is established based on the mapping relationship.
[0075] For example, the mapping relationship can be represented as shown in Table 1 below: Table 1 The humidity inference model is based on the above mapping relationship to simulate the most appropriate and reasonable humidity and frequency reduction.
[0076] Through the above embodiments, various parameters that are closely related to anti-condensation control can be extracted based on historical experience and data, and a mapping relationship between the parameters can be established to form a unified and easy-to-use humidity inference model to assist in subsequent rapid humidity inference.
[0077] In this embodiment, the inference unit 112 inputs the ambient temperature parameter into the humidity inference model to perform humidity inference, obtaining the target inferred humidity and the target frequency reduction amplitude, including: Identify the first temperature range to which the target evaporator inner tube temperature belongs, and identify the second temperature range to which the target temperature difference belongs; The humidity that has a common mapping relationship with the first temperature range and the second temperature range is obtained as the target inference humidity; The frequency reduction amplitude that has a common mapping relationship with the first temperature range and the second temperature range is obtained as the target frequency reduction amplitude.
[0078] For example, referring to Table 1, when the first temperature range of the target evaporator inner tube temperature is [18, 30] and the second temperature range of the target temperature difference is [0, 10), then the humidity with a common mapping relationship is high humidity, and the frequency reduction amplitude with a common mapping relationship is 20Hz. In other words, through the inference of the humidity inference model, it can be concluded that the target inferred humidity is high humidity, and the target frequency reduction amplitude is 20Hz.
[0079] The control unit 110 is also used to control the target air conditioner to operate at a reduced frequency according to the target frequency reduction range, and to obtain the current evaporator inner pipe temperature of the target air conditioner after continuous operation for a second preset time.
[0080] In this embodiment, the second preset duration can also be configured according to the performance parameters of the target air conditioner and the environment in which the target air conditioner is located. For example, the second preset duration can be configured to 2 hours.
[0081] In this embodiment, after the target air conditioner operates at a certain frequency reduction rate for a period of time, various parameters can reach stability, and the target air conditioner can enter the adaptive operation state. At this time, the current evaporator inner pipe temperature can more realistically reflect the temperature characteristics under the current humidity.
[0082] The control unit 110 is also used to perform anti-condensation control on the target air conditioner based on the current evaporator inner pipe temperature.
[0083] In this embodiment, the control unit 110 performs anti-condensation control on the target air conditioner based on the current evaporator inner pipe temperature, including: Obtain a first temperature threshold and a second temperature threshold; wherein the first temperature threshold is greater than the second temperature threshold; When the current evaporator inner tube temperature is greater than the first temperature threshold, the target air conditioner is subjected to frequency upsampling; or When the current evaporator inner pipe temperature is greater than or equal to the second temperature threshold and less than or equal to the first temperature threshold, maintain the current frequency of the target air conditioner; or When the current evaporator internal pipe temperature is lower than the second temperature threshold, the target air conditioner is subjected to frequency reduction processing.
[0084] The first temperature threshold and the second temperature threshold can be optimal values selected after extensive experimentation. For example, the first temperature threshold can be configured to 16°C, and the second temperature threshold can be configured to 15°C.
[0085] Accordingly, when the current evaporator inner pipe temperature is greater than 16°C, the target air conditioner is frequency-increased; when the current evaporator inner pipe temperature is greater than or equal to 15°C and less than or equal to 16°C, the current frequency control mode of the target air conditioner remains unchanged; when the current evaporator inner pipe temperature is less than 15°C, the target air conditioner is frequency-decreased.
[0086] Through the above embodiments, after the target air conditioner is running stably, the anti-condensation frequency increase / decrease strategy and amplitude can be controlled according to the change of the evaporator pipe temperature. This prevents poor anti-condensation effect or poor cooling effect caused by excessive or insufficient frequency reduction amplitude, thereby achieving effective follow-up control and improving the rationality and effectiveness of air conditioner anti-condensation control.
[0087] In this embodiment, when performing frequency upscaling on the target air conditioner, the frequency upscaling process is stopped when the upscaling magnitude reaches a first threshold; or When the target air conditioner is frequency reduced, the frequency reduction process will stop when the reduction reaches the second threshold.
[0088] The first threshold and the second threshold can be optimal values selected based on a large number of experiments. For example, the first threshold and the second threshold can be configured to 20Hz.
[0089] Accordingly, when performing up-frequency control, if the up-frequency amplitude exceeds 20Hz, the up-frequency will stop; when performing down-frequency control, if the down-frequency amplitude exceeds 20Hz, the down-frequency will stop.
[0090] Experiments have shown that the air conditioning anti-condensation control scheme of this embodiment can achieve the following effects: when the relative humidity is 60%, the frequency reduction is 0 at the high fan speed; when the relative humidity is 70%, the frequency reduction is 10Hz at the high fan speed; when the relative humidity is 80%, the frequency reduction is 10Hz at the high fan speed; and when the relative humidity is 90%, the frequency reduction is 20Hz at the high fan speed.
[0091] As can be seen from the above technical solutions, the present invention can control the target air conditioner to run at high frequency for a first preset duration when the target air conditioner is turned on for the first time in cooling mode, so as to identify the initial ambient temperature parameters, so as to accurately infer humidity based on the initial ambient temperature parameters; and obtain the target inferred humidity and the target frequency reduction range based on the humidity inference model, so as to control the target air conditioner to run at a reasonable target frequency reduction range for a second preset duration, so as to perform targeted and effective anti-condensation control on the target air conditioner according to the real-time temperature change of the evaporator inner tube.
[0092] like Figure 3 The diagram shown is a schematic representation of the computer device that implements the air conditioning anti-condensation control method based on humidity inference according to the present invention.
[0093] The computer device 1 may include a memory 12, a processor 13, and a bus (the arrow in the figure represents the bus), and may also include a computer program stored in the memory 12 and executable on the processor 13, such as an air conditioning anti-condensation control program based on humidity inference.
[0094] Those skilled in the art will understand that the schematic diagram is merely an example of computer device 1 and does not constitute a limitation on computer device 1. Computer device 1 can be either a bus topology or a star topology. Computer device 1 may also include more or fewer other hardware or software than shown in the diagram, or different component arrangements. For example, computer device 1 may also include input / output devices, network access devices, etc.
[0095] It should be noted that the computer device 1 described is merely an example. Other existing or future electronic products that are adaptable to this invention should also be included within the scope of protection of this invention and are incorporated herein by reference.
[0096] The memory 12 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 12 can be an internal storage unit of the computer device 1, such as a portable hard drive of the computer device 1. In other embodiments, the memory 12 can be an external storage device of the computer device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the computer device 1. Furthermore, the memory 12 can include both internal and external storage units of the computer device 1. The memory 12 can be used not only to store application software and various types of data installed on the computer device 1, such as the code of an air conditioning anti-condensation control program based on humidity inference, but also to temporarily store data that has been output or will be output.
[0097] In some embodiments, the processor 13 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits packaged with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 13 is the control unit of the computer device 1, connecting various components of the computer device 1 via various interfaces and lines. It executes programs or modules stored in the memory 12 (e.g., executing a humidity-inference-based air conditioning anti-condensation control program) and calls data stored in the memory 12 to perform various functions of the computer device 1 and process data.
[0098] The processor 13 executes the operating system of the computer device 1 and various installed application programs. The processor 13 executes these application programs to implement the steps in the various embodiments of the humidity-based inference-based air conditioning anti-condensation control method described above, for example... Figure 1 The steps are shown.
[0099] For example, the computer program may be divided into one or more modules / units, which are stored in the memory 12 and executed by the processor 13 to complete the present invention. The one or more modules / units may be a series of computer-readable instruction segments capable of performing a specific function, which describe the execution process of the computer program in the computer device 1. For example, the computer program may be divided into a control unit 110, an identification unit 111, and a reasoning unit 112.
[0100] The integrated unit implemented as a software functional module described above can be stored in a computer-readable storage medium. This software functional module, stored in a storage medium, includes several instructions to cause a computer device (which may be a personal computer, computer equipment, or network device, etc.) or processor to execute portions of the humidity-inference-based air conditioning anti-condensation control method described in the various embodiments of this invention.
[0101] If the modules / units integrated in the computer device 1 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, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware devices. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above.
[0102] The computer program includes computer program code, which may be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory, etc.
[0103] Furthermore, the computer-readable storage medium may primarily include a stored program area and a stored data area, wherein the stored program area may store the operating system, an application program required for at least one function, etc.; and the stored data area may store data created based on the use of blockchain nodes, etc.
[0104] The blockchain referred to in this invention is a novel application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms. Essentially, a blockchain is a decentralized database, a chain of data blocks linked together using cryptographic methods. Each data block contains information about a batch of network transactions, used to verify the validity of the information (anti-counterfeiting) and generate the next block. A blockchain can include an underlying blockchain platform, a platform product service layer, and an application service layer.
[0105] The bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, in... Figure 3 The bus is represented by only one straight line, but this does not mean that there is only one bus or one type of bus. The bus is configured to enable communication between the memory 12 and at least one processor 13, etc.
[0106] Although not shown, the computer device 1 may also include a power supply (such as a battery) to power various components. Preferably, the power supply can be logically connected to the at least one processor 13 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The computer device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.
[0107] Furthermore, the computer device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the computer device 1 and other computer devices.
[0108] Optionally, the computer device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the computer device 1 and to display a visual user interface.
[0109] It should be understood that the embodiments described are for illustrative purposes only and are not limited to this structure in the scope of the patent application.
[0110] It will be understood by those skilled in the art that Figure 3 The structure shown does not constitute a limitation on the computer device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.
[0111] Combination Figure 1 The memory 12 in the computer device 1 stores multiple instructions to implement an air conditioning anti-condensation control method based on humidity inference, and the processor 13 can execute the multiple instructions to achieve the following: In response to the anti-condensation control command for the target air conditioner, when the target air conditioner is turned on for the first time in cooling mode, the target air conditioner is controlled to operate at high frequency; When the target air conditioner continues to run for a first preset time, the ambient temperature parameter of the target air conditioner is identified; The ambient temperature parameters are input into the humidity inference model to perform humidity inference, and the target inference humidity and target frequency reduction amplitude are obtained. The target air conditioner is controlled to operate at a reduced frequency according to the target frequency reduction range, and the current evaporator internal pipe temperature of the target air conditioner is obtained after continuous operation for a second preset time. The target air conditioner is controlled to prevent condensation based on the current evaporator internal pipe temperature.
[0112] Specifically, the processor 13's implementation method for the above instructions can be found in [reference needed]. Figure 1 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.
[0113] It should be noted that all data involved in this case was legally obtained. Software tools or components not belonging to this company that appear in the embodiments of this application are merely illustrative examples and do not represent actual use.
[0114] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.
[0115] This invention can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.
[0116] The modules described as separate components may or may not be physically separate. The components shown as modules 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 modules can be selected to achieve the purpose of this embodiment according to actual needs.
[0117] Furthermore, the functional modules in the various embodiments of the present invention 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 in the form of hardware plus software functional modules.
[0118] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
[0119] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the invention. No appended diagram markings in the claims should be construed as limiting the scope of the claims.
[0120] Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices described in this invention can also be implemented by a single unit or device through software or hardware. Terms such as "first," "second," etc., are used to indicate names and do not indicate any specific order.
[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims
1. A method for preventing condensation in air conditioning based on humidity inference, characterized in that, The air conditioning anti-condensation control method based on humidity inference includes: In response to the anti-condensation control command for the target air conditioner, when the target air conditioner is turned on for the first time in cooling mode, the target air conditioner is controlled to operate at high frequency; When the target air conditioner continues to run for a first preset time, the ambient temperature parameter of the target air conditioner is identified; The ambient temperature parameters are input into the humidity inference model to perform humidity inference, and the target inference humidity and target frequency reduction amplitude are obtained. The target air conditioner is controlled to operate at a reduced frequency according to the target frequency reduction range, and the current evaporator internal pipe temperature of the target air conditioner is obtained after continuous operation for a second preset time. The target air conditioner is controlled to prevent condensation based on the current evaporator internal pipe temperature.
2. The air conditioning anti-condensation control method based on humidity inference as described in claim 1, characterized in that, The control of the target air conditioner to operate at high frequency includes: Control the target air conditioner to operate at the target frequency; Wherein, the target frequency is greater than or equal to a preset frequency threshold.
3. The air conditioning anti-condensation control method based on humidity inference as described in claim 1, characterized in that, The identification of the ambient temperature parameters of the target air conditioner includes: The evaporator inner pipe temperature of the target air conditioner is obtained as the target evaporator inner pipe temperature; The inner ring temperature of the target air conditioner is obtained as the target inner ring temperature; The difference between the target inner ring temperature and the target evaporator inner tube temperature is calculated as the target temperature difference; The target evaporator inner tube temperature, the target inner ring temperature, and the target temperature difference are determined as the ambient temperature parameters.
4. The air conditioning anti-condensation control method based on humidity inference as described in claim 1, characterized in that, Before inputting the ambient temperature parameter into the humidity inference model for humidity inference, the method further includes: Obtain historical air conditioning anti-condensation control data; Historical evaporator inner pipe temperature, historical temperature difference, historical humidity, and historical frequency reduction amplitude were extracted from the historical air conditioning anti-condensation control data. Identify the mapping relationship between the historical evaporator inner tube temperature, the historical temperature difference, the historical humidity, and the historical frequency reduction amplitude; The humidity inference model is established based on the mapping relationship.
5. The air conditioning anti-condensation control method based on humidity inference as described in claim 3, characterized in that, The step of inputting the ambient temperature parameters into the humidity inference model to perform humidity inference, and obtaining the target inferred humidity and the target frequency reduction amplitude, includes: Identify the first temperature range to which the target evaporator inner tube temperature belongs, and identify the second temperature range to which the target temperature difference belongs; The humidity that has a common mapping relationship with the first temperature range and the second temperature range is obtained as the target inference humidity; The frequency reduction amplitude that has a common mapping relationship with the first temperature range and the second temperature range is obtained as the target frequency reduction amplitude.
6. The air conditioning anti-condensation control method based on humidity inference as described in claim 1, characterized in that, The step of controlling the target air conditioner to prevent condensation based on the current evaporator inner pipe temperature includes: Obtain a first temperature threshold and a second temperature threshold; wherein the first temperature threshold is greater than the second temperature threshold; When the current evaporator inner tube temperature is greater than the first temperature threshold, the target air conditioner is subjected to frequency upsampling; or When the current evaporator inner pipe temperature is greater than or equal to the second temperature threshold and less than or equal to the first temperature threshold, maintain the current frequency of the target air conditioner; or When the current evaporator internal pipe temperature is lower than the second temperature threshold, the target air conditioner is subjected to frequency reduction processing.
7. The air conditioning anti-condensation control method based on humidity inference as described in claim 6, characterized in that, The method further includes: When performing frequency upscaling on the target air conditioner, the upscaling process is stopped once the magnitude of the upscaling reaches a first threshold; or When the target air conditioner is frequency reduced, the frequency reduction process will stop when the reduction reaches the second threshold.
8. An air conditioning anti-condensation control device based on humidity inference, characterized in that, The humidity-based anti-condensation control device for air conditioning includes: The control unit is used to respond to the anti-condensation control command of the target air conditioner and control the target air conditioner to operate at high frequency when the target air conditioner is turned on for the first time in cooling mode; The identification unit is used to identify the ambient temperature parameters of the target air conditioner when the target air conditioner has been running continuously for a first preset time. The inference unit is used to input the ambient temperature parameters into the humidity inference model to perform humidity inference and obtain the target inference humidity and the target frequency reduction amplitude. The control unit is also used to control the target air conditioner to operate at a reduced frequency according to the target frequency reduction range, and to obtain the current evaporator inner pipe temperature of the target air conditioner after continuous operation for a second preset time. The control unit is also used to perform anti-condensation control on the target air conditioner based on the current evaporator inner pipe temperature.
9. A computer device, characterized in that, The computer device includes: A memory that stores at least one instruction; and a processor that executes the instruction stored in the memory to implement the air conditioning anti-condensation control method based on humidity inference as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one instruction, which is executed by a processor in a computer device to implement the air conditioning anti-condensation control method based on humidity inference as described in any one of claims 1 to 7.