Energy-saving control method, system and equipment for dynamic optimization of air conditioner and medium

By real-time monitoring and adjusting the operating frequency of the air conditioner, the problem that traditional air conditioning systems cannot automatically adjust to the optimal energy efficiency ratio according to real-time temperature changes is solved, and the air conditioner is efficient and energy-saving under different environmental conditions is achieved.

CN119594518AActive Publication Date: 2025-03-11GUANGZHOU YAHE ELECTRONICS TECH CO LTD
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Patent Information

Application Number
CN202411557753.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-04
Publication Date
2025-03-11
Estimated Expiration
2044-11-04

AI Technical Summary

Technical Problem

Traditional air conditioning systems cannot automatically adjust to the optimal energy efficiency ratio according to real-time changes in indoor and outdoor temperature conditions, resulting in serious energy waste.

Method used

By monitoring the indoor and outdoor temperature of the air conditioner, the target temperature set by the user and the electricity consumption information in real time, the operating frequency of the air conditioner is automatically adjusted to achieve the optimal energy efficiency ratio.

Benefits of technology

It significantly reduces the energy consumption during the operation of the air conditioner and ensures that the air conditioner can achieve efficient and energy saving under different environmental conditions.

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Abstract

The invention discloses an energy-saving control method, system and equipment for air conditioner dynamic optimization and a medium. The method comprises the steps that the operation frequency of each air conditioner for achieving the optimal energy efficiency ratio under different indoor and outdoor temperature conditions is obtained; determining the set temperature value of the operation frequency for triggering to reach the optimal energy efficiency ratio under different indoor and outdoor temperature conditions of each air conditioner; an air conditioner individual feature library is constructed according to the operation frequency for achieving the optimal energy efficiency ratio and the set temperature value for triggering the operation frequency of the optimal energy efficiency ratio under different indoor and outdoor temperature conditions of the air conditioner; and according to the indoor and outdoor temperature of each air conditioner, the target temperature set by the user and the air conditioner electricity consumption information, the operation frequency reaching the optimal energy efficiency ratio and the set temperature value associated with the operation frequency are searched in the air conditioner individual feature library, and the target temperature set by the user is adjusted to the set temperature value. According to the indoor and outdoor temperatures of the air conditioner, the target temperature set by the user and the power utilization information, the air conditioner is adjusted to reach the operation frequency of the optimal energy efficiency ratio, and the purpose of energy-saving operation is achieved.
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Description

Technical Field

[0001] The present application relates to the field of air conditioning energy-saving technology, and in particular to an air conditioning dynamic optimization energy-saving control method, system, equipment and medium. Background Art

[0002] With the continuous growth of energy demand and the increasing awareness of environmental protection, energy conservation and emission reduction have become the focus of attention. Among various household appliances, air conditioners are large power consumers, and their energy efficiency improvement is of great significance for energy conservation and emission reduction. When operating, traditional air conditioning systems often rely on fixed preset modes or simple temperature feedback control, and cannot automatically adjust to the optimal energy efficiency ratio state according to the real-time changes in indoor and outdoor temperature conditions, resulting in serious energy waste. When adjusting the indoor temperature, the existing air conditioning control system mostly relies on the temperature set by the user to work, and lacks comprehensive consideration of indoor and outdoor environmental parameters. Especially in different seasons and different climatic conditions, the indoor and outdoor temperature difference varies significantly, and the operating efficiency of the air conditioner is greatly affected. Therefore, even if the user sets the same temperature, the actual operating efficiency and energy consumption of the air conditioner will vary significantly due to different environmental conditions. The above problems need to be solved. Summary of the invention

[0003] The main purpose of this application is to overcome the shortcomings and deficiencies of the prior art and to provide an air-conditioning dynamic optimization energy-saving control method, system, equipment and medium, which monitors the indoor and outdoor temperatures of the air-conditioner, the target temperature set by the user and the electricity consumption information in real time, and automatically adjusts the operating frequency of the air-conditioner to achieve the optimal energy efficiency ratio, so as to achieve the purpose of energy-saving operation.

[0004] In order to achieve the above objectives, this application adopts the following technical solutions:

[0005] In a first aspect, the present application provides an air conditioner dynamic optimization energy-saving control method, comprising the following steps:

[0006] Obtain the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions;

[0007] Determine the set temperature value of each air conditioner that triggers the operation frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions;

[0008] Constructing an individual feature library for each air conditioner according to the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency to achieve the optimal energy efficiency ratio;

[0009] Real-time acquisition of indoor and outdoor temperature information of each air conditioner, target temperature information set by the user, and air conditioner power consumption information;

[0010] According to the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the air conditioner power consumption information, searching the air conditioner individual feature library for the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency that achieves the optimal energy efficiency ratio;

[0011] The target temperature set by the user is adjusted to the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio.

[0012] As a preferred technical solution, the method of obtaining the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions includes:

[0013] Collect and analyze energy efficiency data of air conditioners of different brands and models at different operating frequencies;

[0014] According to the energy efficiency ratio data of air conditioners of different brands and models at different operating frequencies, the energy efficiency ratio of each air conditioner under different indoor and outdoor temperature conditions is analyzed to determine the operating frequency of the air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0015] As a preferred technical solution, the construction of the individual feature library of each air conditioner is constructed based on the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value of each air conditioner that triggers the operating frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions as initial data.

[0016] As a preferred technical solution, constructing the individual feature library of each air conditioner also includes:

[0017] According to the service life and performance degradation of the air conditioner, the operating data of each air conditioner is obtained in real time, and the operating frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions in the air conditioner individual feature library and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio are dynamically updated.

[0018] As a preferred technical solution, the air conditioner power usage information includes current, voltage and power consumption; the air conditioner power usage information is used to evaluate the operating status and energy efficiency ratio of the air conditioner.

[0019] As a preferred technical solution, it also includes:

[0020] When the target temperature set by the user is inconsistent with the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio, the target temperature set by the user is adjusted to the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio, and after the air conditioner reaches the operating frequency for the optimal energy efficiency ratio, the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio is gradually adjusted to the target temperature set by the user according to changes in the indoor and outdoor temperatures of the air conditioner or the power consumption information of the air conditioner.

[0021] In a second aspect, the present application provides an air-conditioning dynamic optimization energy-saving control system, which is applied to an air-conditioning dynamic optimization energy-saving control method, including an operation frequency acquisition module, a temperature setting value module, a feature library construction module, an air-conditioning information acquisition module, a matching module, and an adjustment module;

[0022] The operation frequency acquisition module is used to obtain the operation frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions;

[0023] The set temperature value module is used to determine the set temperature value of each air conditioner that triggers the operation frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions;

[0024] The feature library construction module is used to construct an individual feature library for each air conditioner according to the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency to achieve the optimal energy efficiency ratio;

[0025] The air conditioning information acquisition module is used to acquire the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the air conditioning power consumption information in real time;

[0026] The matching module is used to search the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio in the individual feature library of the air conditioner according to the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the power consumption information of the air conditioner;

[0027] The adjustment module is used to adjust the target temperature set by the user to the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio.

[0028] As a preferred technical solution, the module for obtaining the operating frequency is specifically used for:

[0029] Collect and analyze energy efficiency data of air conditioners of different brands and models at different operating frequencies;

[0030] According to the energy efficiency ratio data of air conditioners of different brands and models at different operating frequencies, the energy efficiency ratio of each air conditioner under different indoor and outdoor temperature conditions is analyzed to determine the operating frequency of the air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0031] In a third aspect, the present application provides an electronic device, the electronic device comprising:

[0032] at least one processor; and a memory communicatively coupled to the at least one processor;

[0033] The memory stores computer program instructions that can be executed by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute the energy-saving control method of the air conditioner by dynamic optimization.

[0034] In a fourth aspect, the present application provides a computer-readable storage medium storing a program, which, when executed by a processor, implements the energy-saving control method of a dynamic optimization air conditioner.

[0035] In summary, compared with the prior art, the effective effects brought about by the technical solution provided by this application include at least:

[0036] The present application proposes an energy-saving control method for air conditioners through dynamic optimization. First, the operating frequency of each air conditioner that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions is obtained; secondly, the set temperature value of each air conditioner that triggers the operating frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions is determined; based on the operating frequency of each air conditioner that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency that achieves the optimal energy efficiency ratio, an individual feature library of each air conditioner is constructed; according to the indoor and outdoor temperatures of each air conditioner, the target temperature set by the user, and the power consumption information of the air conditioner, the corresponding operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio are searched in the individual feature library of the air conditioner, and the target temperature set by the user is adjusted to the set temperature value to achieve energy-saving operation. This application fully considers the impact of changes in indoor and outdoor temperature differences under different seasons and climatic conditions on the operating efficiency of the air conditioner. By real-time monitoring of indoor and outdoor temperatures, user-set target temperatures, and air conditioner power consumption information, and adjusting the air conditioner state to the optimal energy-efficient operating frequency, it effectively avoids the energy efficiency loss of traditional air conditioners due to fixed preset modes or simple temperature feedback control, significantly reduces energy consumption during air conditioner operation, and ensures that the air conditioner can achieve high efficiency and energy saving under different environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 A flowchart of an air conditioning dynamic optimization energy-saving control method provided by an embodiment of the present application;

[0039] Figure 2 A block diagram of an air-conditioning dynamic optimization energy-saving control system provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0041] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0042] Example:

[0043] See also Figure 1 In one embodiment of the present application, a method for dynamically optimizing energy-saving control of an air conditioner is provided, comprising the following steps:

[0044] S1. Obtain the operating frequency of each air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0045] Furthermore, after analyzing the air conditioner, taking refrigeration as an example, when the variable frequency air conditioner is running, as the frequency increases, its output cooling capacity will increase, and the energy consumption will also increase, but this increase is usually not linear, so there will be one or several specific operating frequencies where the air conditioner has the highest energy efficiency ratio; this means that the air conditioner operates most economically at these frequencies and the energy consumption is relatively low.

[0046] Different variable frequency air conditioners have different energy efficiency ratios at different frequencies or at different temperatures at the same frequency due to different compressors and production processes. The operating frequencies at the optimal energy efficiency ratio are also different. Even for the same air conditioner, the operating frequencies at the optimal energy efficiency ratio are different due to different temperature conditions (outdoor temperature, indoor ambient temperature). Therefore, it is necessary to find the operating frequencies at which different air conditioners achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions, and to establish an operating frequency database at which the optimal energy efficiency ratio is achieved, recording the operating frequencies at which different air conditioners achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0047] The energy efficiency ratio refers to the amount of electricity consumed by the air conditioner when providing a unit of cooling (or heating) capacity. The higher the energy efficiency ratio, the more energy-efficient the air conditioner is. The operating frequency of the air conditioner refers to the operating frequency of the air conditioner's compressor, which is the unit of regulation of the air conditioner's cooling or heating capacity. One hertz is equal to the number of times a cycle is completed in one second. For an air conditioner, it represents the number of times the compressor operates per second, thus determining the air conditioner's cooling or heating capacity.

[0048] Specifically, the operation frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions is obtained, and the specific steps include:

[0049] Collect and analyze energy efficiency data of air conditioners of different brands and models at different operating frequencies;

[0050] According to the energy efficiency ratio data of air conditioners of different brands and models at different operating frequencies, the energy efficiency ratio of each air conditioner under different indoor and outdoor temperature conditions is analyzed to determine the operating frequency of the air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0051] S2. Determine a set temperature value for each air conditioner that triggers the operating frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0052] Furthermore, the operating frequency of the air conditioner is not set directly by the user, but is determined by the target temperature set by the user. The inverter split air conditioners of different manufacturers may differ in design and control algorithm, which means that for the same indoor and outdoor temperature conditions and the target temperature set by the user, the air conditioner compressors of different brands may operate at different frequencies. Each manufacturer will design the control logic according to its own technical characteristics and optimization strategies to achieve the best performance and energy efficiency ratio of its products.

[0053] Although the basic principle is the same, the specific trigger points, operation strategies and frequency adjustment ranges may vary from manufacturer to manufacturer. For example, some manufacturers may focus more on quickly reaching the target temperature set by the user, while others may prefer to maintain a low energy consumption level.

[0054] Therefore, it is also necessary to find out under what temperature conditions the set temperature value that triggers the operating frequency to achieve the optimal energy efficiency ratio, and to build a set temperature value database associated with the operating frequency of the optimal energy efficiency ratio to record the set temperature values ​​that trigger the operating frequency to achieve the optimal energy efficiency ratio for air conditioners of different brands and models under different indoor and outdoor temperature conditions. Among them, the set temperature value refers to the temperature value that the air conditioner needs to be set to when it can achieve the optimal efficiency ratio under certain indoor and outdoor temperature conditions.

[0055] S3. Constructing an individual feature library for each air conditioner according to the operating frequency at which each air conditioner achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency at which the optimal energy efficiency ratio is achieved.

[0056] Furthermore, the air conditioner individual feature library is set for an individual air conditioner to record the individual characteristics of the air conditioner, including the comparative relationship between the operating frequency of the air conditioner and the energy efficiency ratio of the air conditioner, as well as the indoor and outdoor temperature conditions that trigger the operating frequency to achieve the optimal energy efficiency ratio and the temperature value that needs to be set when the operating frequency to achieve the optimal energy efficiency ratio.

[0057] Specifically, the construction of the individual feature library of the air conditioner is first constructed with the operating frequency of the air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value of the air conditioner that triggers the operating frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions as the initial data. With the increase in the service life of each air conditioner, the difference in individual maintenance, and the decline in performance, the energy efficiency ratio values ​​of air conditioners of the same brand and model and the same period running at various frequencies may change and be different. Therefore, it is also necessary to continuously collect the operating data of each air conditioner, and dynamically update the operating frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value associated with the operating frequency to achieve the optimal energy efficiency ratio in the individual feature library of the air conditioner.

[0058] The air conditioner individual feature library of this embodiment records the optimal energy efficiency ratio operating frequency and its triggering set temperature value of air conditioners of different brands and models under different conditions; and according to the service life and performance degradation of the air conditioner, the operating data of each air conditioner is obtained in real time, and the operating frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio in the air conditioner individual feature library are dynamically updated to adapt to the changes in air conditioner performance over time, so that each air conditioner can optimize its operation according to its own characteristics, which can improve the accuracy and effectiveness of control.

[0059] S4. Acquire the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the power consumption information of the air conditioner in real time.

[0060] Furthermore, when the air conditioner starts normally and runs stably, the indoor and outdoor ambient temperature values ​​of the air conditioner, the air conditioner power consumption information, the target temperature set by the user and other information are collected; among which, the air conditioner power consumption information includes current, voltage and power consumption, which is used to evaluate the operating status and energy efficiency level of the air conditioner. For example: the current outdoor temperature is 35 degrees, the indoor temperature is 32 degrees, the target temperature set by the user is 20 degrees, and the current is the maximum current of the air conditioner (judging that the air conditioner compressor is running at full load).

[0061] S5. According to the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user and the air conditioner power consumption information, the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio are searched in the air conditioner individual feature library.

[0062] Furthermore, based on the collected indoor and outdoor ambient temperature values ​​(outdoor temperature 35 degrees, indoor temperature 32 degrees) and the target temperature set by the user (20 degrees), the air conditioner individual feature library is queried for the operating frequency of the optimal energy efficiency ratio corresponding to the condition and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio; for example, under this condition, the energy efficiency ratio is optimal when the compressor load is output at 80%, and the set temperature value that triggers this output load is 25 degrees, then the set temperature value is matched from the individual feature library.

[0063] S6. Adjust the target temperature set by the user to the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio.

[0064] Furthermore, the controller will adjust the target temperature set by the user to the set temperature value required at the operating frequency state of the optimal energy efficiency ratio according to the set temperature value found in step S5, so as to achieve energy saving. The controller will monitor the indoor and outdoor ambient temperature values ​​and the target temperature set by the user in real time. Once it is found that the indoor and outdoor ambient temperature has changed or the user has readjusted the air conditioner target temperature, the controller will search the corresponding operating frequency of the optimal energy efficiency ratio and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio in the air conditioner individual feature library again to ensure that the air conditioner operates at the optimal energy efficiency ratio state.

[0065] In addition, in this embodiment, when the controller finds that the target temperature set by the user is inconsistent with the set temperature value associated with the operating frequency for the optimal energy efficiency ratio, the controller will record the target temperature set by the user, and then adjust the target temperature set by the user to the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio. After the air conditioner reaches the operating frequency for the optimal energy efficiency ratio, the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio is gradually adjusted to the target temperature set by the user according to changes in the indoor and outdoor temperatures of the air conditioner or the power consumption information of the air conditioner. This not only ensures the suitability of the indoor environment, but also avoids energy waste and discomfort caused by excessive cooling / heating, and significantly improves the user experience.

[0066] It should be noted that, for the sake of convenience of description, the aforementioned method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously.

[0067] Based on the same idea as the energy-saving control method of air conditioning dynamic optimization in the above-mentioned embodiment, the present application also provides an energy-saving control system of air conditioning dynamic optimization, which can be used to execute the above-mentioned energy-saving control method of air conditioning dynamic optimization. For ease of explanation, the structural schematic diagram of an embodiment of an energy-saving control system of air conditioning dynamic optimization only shows the parts related to the embodiment of the present application. Those skilled in the art can understand that the illustrated structure does not constitute a limitation on the system, and may include more or fewer components than the illustrated one, or combine certain components, or arrange the components differently.

[0068] See also Figure 2 In another embodiment of the present application, an air conditioner dynamic optimization energy-saving control system is provided, the system comprising an operation frequency acquisition module 101, a temperature setting value module 102, a feature library construction module 103, an air conditioner information acquisition module 104, a matching module 105 and an adjustment module 106;

[0069] The operation frequency acquisition module 101 is used to acquire the operation frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions;

[0070] The set temperature value module 102 is used to determine the set temperature value of each air conditioner that triggers the operation frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions;

[0071] The feature library construction module 103 is used to construct an individual feature library for each air conditioner according to the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency to achieve the optimal energy efficiency ratio;

[0072] The air conditioning information acquisition module 104 is used to acquire the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the air conditioning power consumption information in real time;

[0073] The matching module 105 is used to search the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio in the individual feature library of the air conditioner according to the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the power consumption information of the air conditioner;

[0074] The adjustment module 106 is used to adjust the target temperature set by the user to the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio.

[0075] The operating frequency acquisition module 101 is specifically used for:

[0076] Collect and analyze energy efficiency data of air conditioners of different brands and models at different operating frequencies;

[0077] According to the energy efficiency ratio data of air conditioners of different brands and models at different operating frequencies, the energy efficiency ratio of each air conditioner under different indoor and outdoor temperature conditions is analyzed to determine the operating frequency of the air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

[0078] It should be noted that a dynamic optimal energy-saving control system for an air conditioner in the present application corresponds one to one with a dynamic optimal energy-saving control method for an air conditioner in the present application. The technical features and beneficial effects described in the embodiment of the above-mentioned dynamic optimal energy-saving control method for an air conditioner are applicable to the embodiment of a dynamic optimal energy-saving control system for an air conditioner. For specific contents, please refer to the description in the embodiment of the method of the present application. It will not be repeated here. This is hereby declared.

[0079] In addition, in the implementation of an air-conditioning dynamic optimization energy-saving control system in the above-mentioned embodiment, the logical division of each program module is only an example. In actual applications, the above-mentioned functions can be assigned to different program modules as needed, for example, for the configuration requirements of the corresponding hardware or the convenience of software implementation. That is, the internal structure of the air-conditioning dynamic optimization energy-saving control system is divided into different program modules to complete all or part of the functions described above.

[0080] In another embodiment, an electronic device for a dynamic optimization energy-saving control method for an air conditioner is provided, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor; when the processor executes the computer program, a dynamic optimization energy-saving control method for an air conditioner according to any embodiment of the present application is implemented.

[0081] Exemplarily, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present application. The one or more module elements may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the device.

[0082] The device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The device may include, but is not limited to, a processor and a memory.

[0083] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the device, and various interfaces and lines are used to connect various parts of the entire device.

[0084] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; in addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0085] Accordingly, the present application also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute an air conditioning dynamic optimization energy-saving control method as described in any one of the above embodiments.

[0086] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0087] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0088] The above embodiments are preferred implementation modes of the present application, but the implementation modes of the present application are not limited to the above embodiments. Any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principles of the present application should be equivalent replacement methods and are included in the protection scope of the present application.

Claims

1. An air conditioning dynamic optimization energy-saving control method, characterized in that: The steps include: Obtain the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions; Determine the set temperature value of each air conditioner that triggers the operation frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions; Constructing an individual feature library for each air conditioner according to the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency to achieve the optimal energy efficiency ratio; Real-time acquisition of indoor and outdoor temperature information of each air conditioner, target temperature information set by the user, and air conditioner power consumption information; According to the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the air conditioner power consumption information, searching the air conditioner individual feature library for the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency that achieves the optimal energy efficiency ratio; The target temperature set by the user is adjusted to the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio.

2. According to claim 1, the energy-saving control method of air conditioning dynamic optimization is characterized in that: The step of obtaining the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions includes: Collect and analyze energy efficiency data of air conditioners of different brands and models at different operating frequencies; According to the energy efficiency ratio data of air conditioners of different brands and models at different operating frequencies, the energy efficiency ratio of each air conditioner under different indoor and outdoor temperature conditions is analyzed to determine the operating frequency of the air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

3. The energy-saving control method of air conditioning dynamic optimization according to claim 1, characterized in that: The construction of the individual feature library of each air conditioner is constructed based on the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value of each air conditioner that triggers the operating frequency to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions as initial data.

4. According to claim 3, the energy-saving control method of air conditioning dynamic optimization is characterized in that: The construction of the individual feature library of each air conditioner also includes: According to the service life and performance degradation of the air conditioner, the operating data of each air conditioner is obtained in real time, and the operating frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions in the air conditioner individual feature library and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio are dynamically updated.

5. The energy-saving control method of air conditioning by dynamic optimization according to claim 1, characterized in that: The air conditioner power usage information includes current, voltage and power consumption; the air conditioner power usage information is used to evaluate the operating status and energy efficiency ratio of the air conditioner.

6. The air conditioning dynamic optimization energy-saving control method according to claim 1, characterized in that: Also includes: When the target temperature set by the user is inconsistent with the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio, the target temperature set by the user is adjusted to the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio, and after the air conditioner reaches the operating frequency for the optimal energy efficiency ratio, the set temperature value associated with the operating frequency for achieving the optimal energy efficiency ratio is gradually adjusted to the target temperature set by the user according to changes in the indoor and outdoor temperatures of the air conditioner or the power consumption information of the air conditioner.

7. An air conditioning dynamic optimization energy-saving control system, characterized in that: An air conditioning dynamic optimization energy-saving control method applied to any one of claims 1-6, comprising an operation frequency acquisition module, a temperature setting value module, a feature library construction module, an air conditioning information acquisition module, a matching module and an adjustment module; The operation frequency acquisition module is used to obtain the operation frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions; The set temperature value module is used to determine the set temperature value of each air conditioner that triggers the operation frequency that achieves the optimal energy efficiency ratio under different indoor and outdoor temperature conditions; The feature library construction module is used to construct an individual feature library for each air conditioner according to the operating frequency of each air conditioner to achieve the optimal energy efficiency ratio under different indoor and outdoor temperature conditions and the set temperature value that triggers the operating frequency to achieve the optimal energy efficiency ratio; The air conditioning information acquisition module is used to acquire the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the air conditioning power consumption information in real time; The matching module is used to search the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency with the optimal energy efficiency ratio in the individual feature library of the air conditioner according to the indoor and outdoor temperature information of each air conditioner, the target temperature information set by the user, and the power consumption information of the air conditioner; The adjustment module is used to adjust the target temperature set by the user to the operating frequency that achieves the optimal energy efficiency ratio and the set temperature value associated with the operating frequency of the optimal energy efficiency ratio.

8. The air conditioning dynamic optimization energy-saving control system according to claim 7, characterized in that: The module for obtaining the operating frequency is specifically used for: Collect and analyze energy efficiency data of air conditioners of different brands and models at different operating frequencies; According to the energy efficiency ratio data of air conditioners of different brands and models at different operating frequencies, the energy efficiency ratio of each air conditioner under different indoor and outdoor temperature conditions is analyzed to determine the operating frequency of the air conditioner with the optimal energy efficiency ratio under different indoor and outdoor temperature conditions.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; Wherein, the memory stores computer program instructions that can be executed by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute an air conditioning dynamic optimization energy-saving control method as described in any one of claims 1-6.

10. A computer-readable storage medium storing a program, characterized in that: When the program is executed by a processor, an air-conditioning dynamic optimization energy-saving control method as described in any one of claims 1 to 6 is implemented.

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