Air conditioner heating energy-saving control method

Abstract

The invention discloses an air conditioner heating energy-saving control method which comprises the following steps: (1) constructing a historical capability data acquiring operation parameter data when a user starts air conditioner heating every time, including a set temperature, a set air speed, an outdoor temperature, whether an electric heating state is actually started or not, and the highest indoor temperature reached by starting this time, storing the data to a cloud end to form a historical capability database; (2) real-time matching and decision making are carried out, specifically, when a user starts air conditioner heating, the current set temperature, the set air speed and the outdoor temperature are obtained, and matching query is carried out based on the historical ability database; if the record that the electric heating is not started and the current set temperature is reached or exceeded under the historical working condition which is the same as or better than the current parameter exists, the electric heating is not started at the time of starting; otherwise, electric heating is started; and (3) dynamic compensation control: if the electric heating is not started and the set temperature is not reached within the preset time, automatically starting the electric heating to guarantee the comfort of the user.

Description

Technical Field

[0001] The present invention relates to the energy-saving technical field of whether to turn on electric heating for air conditioner heating, and specifically relates to an energy-saving control method for air conditioner heating. Background Art

[0002] With the continuous increase in the popularity of air conditioners, their energy consumption problems have become increasingly prominent. According to statistics, the national air conditioner production reached 170 million units in 2023. The excessive use of electric heating during the heating process has become the main factor of energy waste. When traditional air conditioners heat, electric heating is often used as an auxiliary heat source to quickly raise the temperature, but its coefficient of performance (COP) is much lower than that of the heat pump system, and there are the following problems:

[0003] High energy consumption: Electric heating directly depends on electric energy, with low efficiency, significantly increasing the electricity bill expenditure of users;

[0004] Equipment loss: The electric heating elements are prone to damage due to long-term high-load operation, increasing the maintenance cost;

[0005] Environmental burden: When relying on fossil energy for power generation, electric heating will exacerbate carbon emissions and air pollution;

[0006] Insufficient comfort: Electric heating is prone to cause uneven indoor temperature, dry air and noise problems.

[0007] In the prior art, the start and stop of air conditioner electric heating mostly depend on fixed thresholds (such as automatically turning on when the outdoor temperature is lower than a certain value), lacking dynamic analysis of historical operation data, and it is difficult to balance energy conservation and user needs. Therefore, there is an urgent need for an intelligent control method to minimize the use of electric heating to the greatest extent while ensuring the heating effect. Summary of the Invention

[0008] The purpose of the present invention is to provide an energy-saving control method for air conditioner heating. By constructing a dynamic database and matching real-time working conditions, it can intelligently decide whether to turn on electric heating, achieving multiple goals of energy conservation and consumption reduction, extending the equipment life, and improving comfort.

[0009] To achieve the above purpose, the present invention adopts the following technical solutions:

[0010] An energy-saving control method for air conditioner heating, comprising the following steps:

[0011] (1) Construct a historical capacity database: Collect the operation parameter data when the user turns on the air conditioner heating each time, including the set temperature, set wind speed, outdoor temperature, actual state of whether electric heating is turned on, and the highest indoor temperature reached during this startup, and store the data in the cloud to form a historical capacity database;

[0012] (2) Real-time matching and decision-making: When the user turns on the air conditioner for heating, the current set temperature, set wind speed, and outdoor temperature are obtained, and a matching query is performed based on the historical capability database; if there is a record of not turning on the electric heating under the same or better historical operating conditions as the current parameters and reaching or exceeding the current set temperature, the electric heating will not be turned on this time; otherwise, the electric heating will be turned on;

[0013] (3) Dynamic compensation control: If the electric heating is not turned on during this startup and the set temperature is not reached within the preset time, the electric heating will be automatically turned on to ensure user comfort.

[0014] In some embodiments, when constructing the historical capacity database in step (1), only the operating condition data when the electric heating is not actually turned on is recorded, and the following data cleaning steps are included:

[0015] a. Eliminate data of air conditioner operation mode other than heating, wind speed exceeding the preset range, defrosting stage, and the period before and after defrosting;

[0016] b. Delete illogical historical data, including data with higher outdoor temperature or set wind speed but failing to reach the same set temperature.

[0017] In some embodiments, the condition for recording the highest indoor temperature in step (1) is that the maximum difference in indoor temperature within K consecutive minutes during the operation of the air conditioner is less than a preset threshold value P°C.

[0018] In some embodiments, the matching query in step (2) includes the following logic:

[0019] a. If there is a record in the history database that the maximum indoor temperature is ≥ the current set temperature when the current set temperature, set wind speed, and outdoor temperature are the same and the electric heating is not turned on, it is determined that there is no need to turn on the electric heating;

[0020] b. If the current set wind speed is greater than the historical set wind speed, and the highest indoor temperature when the electric heating was not turned on in the past is ≥ the current set temperature, it is determined that there is no need to turn on the electric heating;

[0021] c. If the current outdoor temperature is higher than the historical outdoor temperature, and the highest indoor temperature in the history when electric heating was not turned on is ≥ the current set temperature, it is determined that there is no need to turn on electric heating;

[0022] d. If the currently set wind speed and outdoor temperature are both ≥ the corresponding historical parameters, and the highest indoor temperature when the electric heating was not turned on in the past is ≥ the current set temperature, it is determined that there is no need to turn on the electric heating.

[0023] In some embodiments, the preset duration in step (3) is M minutes which can be customized by the user or is the system default.

[0024] In some embodiments, the method further includes: optimizing the matching logic to further improve the energy-saving efficiency by analyzing the proportion of users actively turning on the electric heating in historical data.

[0025] The beneficial effects that may be brought about by an air-conditioning heating energy-saving control method disclosed in this application include but are not limited to:

[0026] This patent fully explores the potential value of air-conditioning big data to determine whether to turn on the electric heating during air-conditioning heating, achieving energy conservation. Optimizing the performance and efficiency of the air-conditioning system with air-conditioning big data. Not turning on the electric heating during air-conditioning heating is of great significance in aspects such as energy conservation and consumption reduction, reducing operating costs, environmental protection, enhancing system reliability, improving comfort, intelligent control and optimization, and user health and safety. By making full use of the high-efficiency heating capacity of the heat pump, multiple goals of energy conservation, environmental protection, and economy can be achieved while ensuring comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a functional system block diagram.

[0028] Figure 2 It is the constituent data dimension of the historical capacity database.

[0029] Figure 3 It is a logic diagram for determining whether to turn on the electric heating for this startup.

[0030] Figure 4 : Randomly extract a sample size of 10,000, a graph of the proportion of turning on the electric heating and not turning on the electric heating.

[0031] Figures 5 - 7 It is a schematic diagram of the steps for elaborating on deleting unreasonable data in the capacity database. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] In order to make the purpose, technical solutions and advantages of this application clearer, the following further elaborates on this application in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0033] On the contrary, this application covers any alternatives, modifications, equivalent methods, and solutions made within the essence and scope of this application defined by the claims. Further, in order to enable the public to have a better understanding of this application, in the following detailed description of this application, some specific details are described in detail. Those skilled in the art can fully understand this application even without the description of these detail parts.

[0034] The following will elaborate in detail on an air-conditioning heating energy-saving control method involved in the embodiments of this application.

[0035] Through the statistics of the historical data of the air conditioner, it is found that more than 40% of users actively turn on the electric heating. Further analyzing the historical operating condition data, it is found that the user-set temperature can be reached without turning on the electric heating, and the heat pump is superior to the electric heating in terms of heating efficiency. In order to save energy, the electric heating should be turned on as little as possible.

[0036] Air conditioner energy conservation is of great significance in reducing energy consumption, carbon emissions, costs, improving comfort, obtaining policy support, and promoting technological progress. Energy-saving air conditioners not only contribute to environmental protection but also bring double benefits of economy and comfort to users. The present invention innovatively and ingeniously records the indoor temperature, outdoor temperature, set temperature, actual state of electric heating, set wind speed, and the highest indoor temperature that can be reached during the current startup when the air conditioner is turned on for the first time, and stores them in the ability database. The more times the user turns on the air conditioner, the larger the ability database will be. When the air conditioner is turned on next time, it is directly matched with the historical ability data to determine whether the electric heating needs to be turned on for this startup of the air conditioner.

[0037] The implementation of the present invention is simple. It does not require establishing a data model or testing building parameters, etc. It directly uses a learning method to determine whether to turn on the electric heating. It has the advantages of low cost, strong universality, and strong applicability to different regions.

[0038] The present invention is realized through the following technical solutions. When the user turns on the air conditioner for heating each time, the current startup set temperature, set wind speed, actual state of whether the electric heating is turned on, outdoor temperature, and indoor temperature data are reported to the cloud for storage. After the user turns on the air conditioner for heating, the current set temperature, set wind speed, set electric heating state, and outdoor temperature are read, and according to the historical ability database, it is determined whether the electric heating needs to be turned on for this startup of the air conditioner for heating.

[0039] The purpose of the present invention is to construct a historical ability database based on the set temperature, set wind speed, outdoor temperature, and whether the electric heating is actually turned on when the user turns on the air conditioner historically, and match the current startup set temperature, set wind speed, set electric heating state, and outdoor temperature with the historical ability database to determine whether the electric heating needs to be turned on for this startup.

[0040] An air conditioner heating energy-saving control method includes the following steps:

[0041] (1) Construct a historical ability database: Collect the operation parameter data when the user turns on the air conditioner for heating each time, including the set temperature, set wind speed, outdoor temperature, actual state of whether the electric heating is turned on, and the highest indoor temperature reached during this startup, and store the data in the cloud to form a historical ability database;

[0042] When constructing the historical ability database, only record the operating condition data when the electric heating is not actually turned on, and include the following data cleaning steps:

[0043] a. Exclude data during non - heating air - conditioner operation modes, when the wind speed gear exceeds the preset range, during the defrosting stage, and during the periods before and after defrosting.

[0044] b. Delete illogical historical data, including: data where the outdoor temperature or the set wind speed is higher but the same set temperature cannot be reached.

[0045] In some embodiments, the condition for recording the highest indoor temperature in step (1) is that the maximum difference in indoor temperature within consecutive K minutes during air - conditioner operation is less than the preset threshold P℃.

[0046] (2) Real - time matching and decision - making: When the user turns on the air - conditioner for heating, obtain the current set temperature, set wind speed, and outdoor temperature, and perform a matching query based on the historical capacity database; if there is a record of not turning on the electric heating and reaching or exceeding the current set temperature under historical working conditions that are the same as or better than the current parameters, then do not turn on the electric heating for this startup; otherwise, turn on the electric heating.

[0047] The matching query includes the following logic:

[0048] a. If there is a record in the historical database with the same current set temperature, set wind speed, and outdoor temperature, and the highest indoor temperature ≥ the current set temperature when the electric heating is not turned on, then it is determined that there is no need to turn on the electric heating.

[0049] b. If the current set wind speed is greater than the historical set wind speed, and the highest indoor temperature ≥ the current set temperature when the electric heating was not turned on historically, then it is determined that there is no need to turn on the electric heating.

[0050] c. If the current outdoor temperature is higher than the historical outdoor temperature, and the highest indoor temperature ≥ the current set temperature when the electric heating was not turned on historically, then it is determined that there is no need to turn on the electric heating.

[0051] d. If both the current set wind speed and outdoor temperature are ≥ the corresponding historical parameters, and the highest indoor temperature ≥ the current set temperature when the electric heating was not turned on historically, then it is determined that there is no need to turn on the electric heating.

[0052] (3) Dynamic compensation control: If the electric heating is not turned on for this startup and the set temperature is not reached within the preset duration, then automatically turn on the electric heating to ensure user comfort.

[0053] The preset duration is M minutes that can be customized by the user or default set by the system.

[0054] In some embodiments, the method further includes: optimizing the matching logic by analyzing the proportion of the user actively turning on the electric heating in the historical data to further improve the energy - saving efficiency.

[0055] Figure 1 Describe the system functional block diagram. Describe whether the electric heating needs to be turned on for this startup.

[0056] Figure 2 Generally describes the constituent data dimensions of the historical capacity database, which consists of the set temperature, set wind speed, outdoor temperature, maximum indoor temperature, and filters out the data where the electric heating was not actually turned on during a single historical startup process. The device historical capacity data records the maximum indoor temperature that the user environment can reach without turning on the electric heating.

[0057] Such as Figure 3 the example device historical capacity database in

[0058] Such as Figure 3 When the startup of No. 1 is the same as the set wind speed and outdoor temperature in the historical capacity database, and the historical database can reach 26 degrees, and now No. 1 is only set to 25 degrees, then it will definitely reach 25 degrees, so there is no need to turn on the electric heating.

[0059] Such as Figure 3 When the startup of No. 1 is the same as the set temperature and outdoor temperature in the historical capacity database, and the historical database can reach 26 degrees, and now No. 2 has a larger set wind speed, and the greater the wind speed, the easier the heat exchange, so it is easier to reach the temperature, and there is no need to turn on the electric heating.

[0060] Figure 3 When the startup of No. 1 is the same as the set temperature and set temperature in the historical capacity database, and the historical database can reach 26 degrees, and now No. 3 has a higher outdoor temperature, and the higher the outdoor temperature, the stronger the heating capacity, so this startup will definitely reach 26 degrees, and there is no need to turn on the electric heating.

[0061] When the user turns on the air conditioner for heating each time, report the current startup set temperature, set wind speed, actual state of whether the electric heating is turned on, outdoor temperature, and indoor temperature data to the cloud and store it. Only record the data where the electric heating was not actually turned on during this startup. The capacity database records the maximum indoor temperature that can be reached without turning on the electric heating under various environmental conditions and user settings. When the user turns on the air conditioner for heating, if the user sets to turn on the electric heating,

[0062] input the current user's set temperature, set wind speed, and outdoor temperature into the historical capacity database for matching query.

[0063] If it is queried that the current environment and user settings do not require the user to turn on the electric heating, then the electric heating will not be turned on during this startup. To improve the user experience, if the set temperature of the user is not reached after M minutes after startup, then the electric heating will be immediately turned on to prevent the room from being too cold and the user from feeling uncomfortable.

[0064] Step 1 Data cleaning:

[0065] A. Start collecting after startup (compressor frequency is greater than 0) or N minutes after the set temperature changes

[0066] B. The air conditioner operates in the heating mode

[0067] C. Process the wind speed gears from 1 to 5

[0068] D. Clear the data during and before and after defrosting

[0069] Step 2 Record the highest indoor temperature condition

[0070] A. The maximum difference in indoor temperature within continuous K minutes < P℃

[0071] B. Record the outdoor temperature, set temperature, set temperature at the start of the machine, and whether electric heating is turned on during this startup process. If electric heating is actually turned on, then the data for this startup will not be entered into the device historical capacity database.

[0072] Step 3 Delete the unreasonable data in the capacity database

[0073] A. As follows Figure 5 As shown, when the user's set temperature and set wind speed are the same, and the set temperature of 26 degrees cannot be reached, the higher the outdoor temperature, the stronger the heating capacity of the air conditioner. This data is obviously unreasonable and should be deleted.

[0074] B. As follows Figure 6 As shown, when the user's set temperature and outdoor temperature are the same, and the set temperature of 26 degrees cannot be reached, the higher the set wind speed, the easier the air heat exchange. This data is obviously unreasonable and should be deleted.

[0075] C. As follows Figure 7 As shown, when the user's set temperature is the same, and the set wind speed and outdoor temperature are higher, and the set temperature of 26 degrees cannot be reached, the higher the set wind speed, the easier the air heat exchange, and the higher the outdoor temperature, the stronger the heating capacity of the air conditioner. This data is obviously unreasonable and should be deleted.

[0076] Step 4 Query whether electric heating needs to be turned on

[0077] A. Query from the historical database whether, when the set temperature, set wind speed, and outdoor temperature are the same, if the historical highest indoor temperature ≥ set temperature, output that electric heating does not need to be turned on, otherwise electric heating needs to be turned on.

[0078] B. Query from the historical database whether, when the set temperature and outdoor temperature are the same, if the current set wind speed > historical set wind speed and the historical highest indoor temperature ≥ set temperature, output that electric heating does not need to be turned on, otherwise electric heating needs to be turned on.

[0079] C. Query from the historical database whether, when the set temperature and set wind speed are the same, if the current outdoor temperature ≥ historical outdoor temperature and the historical highest indoor temperature ≥ current set temperature, output that electric heating does not need to be turned on, otherwise electric heating needs to be turned on

[0080] D. When there are settings in the historical database where both the set wind speed and outdoor temperature are ≤ the current set wind speed and outdoor temperature, and the historical set temperature and the highest indoor temperature ≥ the current set temperature, it is output that electric heating does not need to be turned on; otherwise, electric heating needs to be turned on.

[0081] Figure 4 It is a pie chart showing the proportion of cases with electric heating turned on and off for a randomly selected sample size of 10,000.

[0082] From Figure 4 it can be analyzed the proportion of users actually turning on electric heating in history. A randomly selected sample size is 10,000, and the time is from December 2023 to January 2024. The proportion of actually turning on electric heating is as high as 44%. The energy efficiency ratio of electric heating is much lower than that of heat pumps. Therefore, it is of great significance to study whether to turn on electric heating through historical data to achieve energy conservation and reduce household expenses.

[0083] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. An air conditioner heating energy-saving control method, characterized in that, It includes the following steps: (1) Construct a historical capacity database: Collect the operation parameter data each time the user turns on the air conditioner for heating, including the set temperature, set wind speed, outdoor temperature, actual electric heating status, and the highest indoor temperature reached during this startup, and store the data in the cloud to form a historical capacity database; (2) Real-time matching and decision-making: When the user turns on the air conditioner for heating, obtain the current set temperature, set wind speed, and outdoor temperature, and perform a matching query based on the historical capacity database; if there is a record of not turning on the electric heating and reaching or exceeding the current set temperature under historical working conditions that are the same as or better than the current parameters, then do not turn on the electric heating during this startup; otherwise, turn on the electric heating; (3) Dynamic compensation control: If the electric heating is not turned on during this startup and the set temperature is not reached within a preset duration, automatically turn on the electric heating to ensure user comfort.

2. The air conditioner heating energy-saving control method according to claim 1, wherein When constructing the historical capacity database in step (1), only record the working condition data of not actually turning on the electric heating, and it includes the following data cleaning steps: a. Eliminate the data during the non-heating operation mode of the air conditioner, when the wind speed gear exceeds the preset range, during the defrosting stage, and the time periods before and after defrosting; b. Delete the historical data that does not conform to the logic, including: the data where the outdoor temperature or set wind speed is higher but the same set temperature cannot be reached.

3. The air conditioner heating energy-saving control method according to claim 2, characterized in that, The condition for recording the highest indoor temperature in step (1) is: the maximum difference in indoor temperature within continuous K minutes during the operation of the air conditioner is less than the preset threshold P℃.

4. The air conditioner heating energy-saving control method according to claim 1, characterized in that The matching query in step (2) includes the following logic: a. If there is a record in the historical database with the same current set temperature, set wind speed, and outdoor temperature and the highest indoor temperature ≥ the current set temperature when the electric heating is not turned on, it is determined that there is no need to turn on the electric heating; b. If the current set wind speed is greater than the historical set wind speed and the highest indoor temperature ≥ the current set temperature when the electric heating was not turned on historically, it is determined that there is no need to turn on the electric heating; c. If the current outdoor temperature is higher than the historical outdoor temperature and the highest indoor temperature ≥ the current set temperature when the electric heating was not turned on historically, it is determined that there is no need to turn on the electric heating; d. If both the current set wind speed and outdoor temperature are ≥ the corresponding historical parameters and the highest indoor temperature ≥ the current set temperature when the electric heating was not turned on historically, it is determined that there is no need to turn on the electric heating.

5. The air conditioner heating energy-saving control method according to claim 1, wherein, The preset duration in step (3) is M minutes that can be customized by the user or the system default.

6. The air conditioner heating energy-saving control method according to claim 1, wherein The method further includes: optimizing the matching logic to improve the energy-saving efficiency by analyzing the proportion of the user actively turning on the electric heating in the historical data.

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