Air conditioner temperature reaching value real-time calculation method and system based on user working conditions

Abstract

The invention discloses an air conditioner temperature reaching value real-time calculation method and system based on user working conditions. According to the method, a sensor or a camera does not need to be additionally arranged, and the historical operation optimal temperature value can be obtained only by performing acquisition training based on the operation data of the air conditioner. And the air conditioner is controlled to reach the temperature, the indoor temperature reaches the optimal efficiency temperature, and the cost is saved. Moreover, the method is more accurately applicable to each user, data trained by the method is real data based on user working conditions, and refrigeration capacities of different devices, different environments and different use habits can be customized. And the device has good universality and adaptability, and has an obvious effect on the cooling energy consumption effect.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning control, and more specifically, to a method and system for real-time calculation of air conditioning temperature values ​​based on user operating conditions. Background Art

[0002] With the development of society, cabinet and wall-mounted air conditioners are installed in millions of households. During operation, users generally set the air conditioner to the set temperature. However, the set temperature is not the optimal efficiency temperature, and the optimal efficiency temperature is not a fixed temperature. The cooling performance of an air conditioner is affected by many factors, including the outdoor temperature, room orientation, window layout, wall insulation thickness, user-set fan speed, user-set gear position, etc., resulting in a wide range of actual operating conditions. Therefore, it is difficult to calculate the cooling capacity required to achieve the user-set temperature or the optimal efficiency temperature.

[0003] From a professional perspective, the air conditioner's environment can be statistically analyzed to determine its cooling capacity, based on various factors affecting it. This can be used to calculate the required cooling capacity using a formula to determine if the air conditioner can reach the set temperature. However, accurate data on these factors is often not available, making it impossible to calculate the exact desired temperature. Therefore, a layout algorithm is urgently needed to process this data and predict the air conditioner's cooling capacity to achieve a stable value. Summary of the Invention

[0004] The present invention overcomes the deficiency of the prior art that it is impossible to reach the customer's set temperature or the optimal efficiency temperature by calculating the cooling capacity, and provides a real-time calculation method for the air conditioner temperature value based on the user's working conditions, in the hope of solving the problems existing in the prior art.

[0005] In order to solve the above technical problems, the present invention provides a method for real-time calculation of the air conditioning temperature value based on user working conditions:

[0006] A method for real-time calculation of air conditioning temperature values ​​based on user operating conditions comprises the following steps:

[0007] The smart air conditioner is turned on and maintains communication connection;

[0008] The smart air conditioner transmits the equipment and environment status data to the data analysis and processing module, which processes the data;

[0009] The data analysis module transmits the processed data to the steady-state data processing module;

[0010] After the steady-state data processing module obtains the data, it establishes a steady-state database;

[0011] When the user turns on the energy-saving mode, the air conditioner sends device status data to the steady-state data processing module;

[0012] The steady-state data processing module obtains the equipment status data and compares it with the steady-state database to obtain the steady-state temperature value closest to the current equipment status;

[0013] The steady-state data processing module sends the various state instructions of reaching the temperature value to the smart air conditioner;

[0014] After receiving the status instructions, the smart air conditioner executes them one by one until it reaches the steady-state temperature value.

[0015] The present invention does not require additional sensors or cameras. Instead, it can collect and train the operating data of the air conditioner itself to obtain the historical optimal operating temperature value. The air conditioner is then controlled to reach the temperature that achieves the optimal efficiency in the room.

[0016] A further technical solution is that the air conditioner transmits the device status data to the data analysis and processing module, and the data analysis and processing module processes the data in the following steps:

[0017] The air conditioner encrypts the data during transmission of device status data and transmits the secret key together with the data;

[0018] After receiving the data, the data parsing and processing module will first match the secret key. If the match is successful, it will proceed with subsequent operations. If it is unsuccessful, it will be discarded directly.

[0019] A further technical solution is that the establishment of the steady-state database specifically includes the following steps:

[0020] The steady-state data processing module filters the data after the temperature stabilizes and stores all the filtered data in the steady-state database.

[0021] When the air conditioner is just started, the ambient temperature is in a state of change. The cooling capacity of the air conditioner and the heat exchange capacity in the room are not in a state of equilibrium and cannot be used as steady-state data. Therefore, the data needs to be screened to remove the non-equilibrium data.

[0022] A further technical solution is to perform the following steps before storing all the filtered data in the steady-state database:

[0023] The stabilized data is compared and screened with the historical data in the steady-state database. The specific steps of the screening are: under the same conditions, the minimum indoor temperature value is retained;

[0024] Using the stabilized data to correct the steady-state historical data, the correction is specifically to lower the temperature value when the cooling capacity is stronger or the external conditions are hotter;

[0025] Use the stabilized data to retain the historical data of steady-state data. For fixed wind speed gears, daytime, operating mode, and set temperature, if the set temperature can be reached, only the highest outdoor temperature will be retained.

[0026] When recording cooling capacity and external data, the corresponding data needs to be updated at any time, with the optimal effect that the air conditioner can achieve as the steady-state data.

[0027] A further technical solution is to perform the following steps before the data parsing module processes the data:

[0028] After the steady-state data processing module obtains the data, the following steps are performed:

[0029] Filter to determine whether the air conditioner is turned on. If so, continue to determine whether it is the first data of power on. If not, determine whether it is the first time of shutdown;

[0030] When judging whether it is the first data after power-on, if it is, record the device and environmental status data and write it into the steady-state database; otherwise, judge whether it is the data after the temperature stabilizes;

[0031] When determining whether it is the first shutdown, if so, the data is written to the steady-state database; otherwise, it is not written.

[0032] On the other hand, the present invention also provides a temperature control system for real-time calculation of the temperature value of an air conditioner based on user working conditions, comprising an air conditioner, a data analysis and processing module, and a steady-state data processing module;

[0033] The air conditioner is used to transmit equipment and environmental status data to the data analysis and processing module and execute instructions;

[0034] The data analysis and processing module is used to process the data;

[0035] The steady-state data processing module is used to establish a steady-state database and compare it with the steady-state database to obtain the steady-state temperature value that is closest to the current device state.

[0036] A further technical solution is that the calculation and temperature control system further includes a user visualization module;

[0037] The user visualization module is used to configure the data filtering conditions of the steady-state data processing module and send the energy-saving mode instruction to the data analysis and processing module.

[0038] Compared with the existing technology, the present invention has at least the following beneficial effects: the present invention does not require additional sensors or cameras, and only needs to collect and train based on the operating data of the air conditioner itself to obtain the historical optimal operating temperature value. The air conditioner is controlled to reach the temperature, so that the indoor temperature reaches the optimal efficiency temperature, saving costs. In addition, the present invention is more accurately applicable to each user. The data trained by this method is based on real data under the user's working conditions and can customize the cooling capacity of different equipment, different environments, and different usage habits. It has good versatility and adaptability, and has achieved significant results in cooling energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is the system URL sequence diagram of Example 1;

[0040] Figure 2 This is a schematic diagram of the information screening and processing flow obtained by the steady-state data processing module;

[0041] Figure 3 This is a schematic diagram of the system structure of Example 2;

[0042] Figure 4 Schematic diagram of system operation status and energy-saving effect;

[0043] Figure 5 Schematic diagram of energy saving effect. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0045] Example 1

[0046] A real-time calculation method for air conditioning temperature value based on user working conditions, see Figure 1 , including the following steps:

[0047] S1: The air conditioner is turned on and maintains the communication connection state;

[0048] S2: The air conditioner transmits device and environmental status data to the data analysis and processing module, which processes the data.

[0049] In this embodiment, the intelligent air-conditioning device transmits the device status data to the data analysis and processing module via http or mqtt;

[0050] Exemplarily, the equipment and environment status data include set temperature, indoor temperature, wind speed level, outdoor temperature, daylight information, etc.;

[0051] The S2 specifically includes the following steps:

[0052] S21: The air conditioner encrypts the data during transmission of the device status data and transmits the secret key together with the data;

[0053] S22: After receiving the data, the data analysis and processing module first matches the secret key. If the match is successful, it will perform subsequent operations. If it is unsuccessful, it will be discarded directly.

[0054] S3: The data analysis module transmits the processed data to the steady-state data processing module;

[0055] S4: After the steady-state data processing module obtains the data, a steady-state database is established;

[0056] The establishment of the steady-state database specifically includes the following steps: Figure 2 :

[0057] Do the following;

[0058] S41: Filter and determine whether the air conditioner is turned on. If so, determine whether it is the first data of the air conditioner being turned on. If not, determine whether it is the first time the air conditioner is turned off.

[0059] S42: When determining whether it is the first data after power-on, if yes, record the device and environment status data and write it into the steady-state database; if not, determine whether it is the data after the temperature stabilizes;

[0060] S43: When determining whether it is the first shutdown, if yes, write the data into the steady-state database; otherwise, do not write.

[0061] S44: The steady-state data processing module filters the data after the temperature stabilizes, and stores all the filtered data in the steady-state database;

[0062] In this embodiment, the temperature stabilization data refers to the stable data obtained after 20 minutes of power-on and 3 minutes of constant indoor temperature. It should be understood that the values ​​of 20 minutes and 3 minutes are configurable and can be configured according to the actual environment. If the environment is more severe, the data obtained after 30 minutes of power-on is also acceptable.

[0063] After writing the data, in order to keep the data in the steady-state database concise and accurate, it is necessary to optimize and filter the data in the database. In this embodiment, the optimization and filtering includes the following steps:

[0064] S45: comparing and screening the stabilized data with historical data in the steady-state database, wherein the specific steps of screening are: retaining the minimum indoor temperature value under the same conditions;

[0065] S46: Using the stabilized data, correcting the steady-state historical data, wherein the correction is specifically to lower the temperature value when the cooling capacity is stronger or the external conditions are hotter;

[0066] S47: Use the stabilized data to retain the historical data of the steady-state data. For fixed wind speed gears, daytime, operating mode, and set temperature, only the highest outdoor temperature is retained if the set temperature can be reached.

[0067] On the one hand, the present invention realizes the real-time update of the steady-state database by collecting air-conditioning operation and environmental status data. On the other hand, it uses the steady-state database to compare under different conditions to obtain the optimal air-conditioning temperature value, corrects the current air-conditioning temperature, and updates the steady-state database.

[0068] S5: When the user turns on the energy-saving mode, the air conditioner sends the device status data to the steady-state data processing module; in this embodiment, the user uses the user visualization module to turn on the energy-saving mode

[0069] S6: The steady-state data processing module obtains the device status data and compares it with the steady-state database to obtain the steady-state temperature value that is closest to the current device status;

[0070] S7: The steady-state data processing module sends the state instructions of each temperature value to the smart air conditioner;

[0071] S8: After receiving the status instructions, the air conditioner executes them one by one until it reaches the steady-state temperature value state.

[0072] When the air conditioner is turned on in energy-saving mode, the steady-state data processing module can improve the working efficiency of the air conditioner to achieve energy-saving effects based on the steady-state database or the temperature value of the air conditioner.

[0073] Example 2

[0074] A real-time temperature control system for air conditioning based on user operating conditions. Figure 3 ,Including, air conditioning, data analysis and processing module, steady-state data processing module, and household visualization module;

[0075] The air conditioner is used to transmit equipment and environmental status data to the data analysis and processing module and execute instructions;

[0076] The data analysis and processing module is used to process the data;

[0077] The steady-state data processing module is used to establish a steady-state database and compare it with the steady-state database to obtain the steady-state temperature value that is closest to the current device state.

[0078] The user visualization module is used to configure the data filtering conditions of the steady-state data processing module and send the energy-saving mode instruction to the data analysis and processing module.

[0079] Figure 4 and Figure 5 The settings of multiple embodiments during the cooling process and the final cooling effects and energy-saving effects are recorded in detail, where AI represents the use of the method and system of the present invention, while non-AI does not use the system and method of the present invention. It can be seen that when the final cooling effects are similar, the energy consumption of this application is significantly lower than that of the air conditioner that does not use this application.

[0080] Although the present invention has been described herein with reference to illustrative embodiments of the present invention, it will be appreciated that those skilled in the art may devise numerous other modifications and implementations that fall within the scope and spirit of the principles disclosed herein. More specifically, within the scope disclosed herein, various variations and improvements may be made to the components and / or layout of the subject combination layout. In addition to variations and improvements made to the components and / or layout, other uses will be apparent to those skilled in the art.

Claims

1. A real-time calculation method for air conditioning temperature value based on user working conditions, characterized in that: The following steps are involved: The air conditioner is turned on and maintains communication connection; The air conditioner transmits the equipment and environment status data to the data analysis and processing module, which processes the data; The data analysis module transmits the processed data to the steady-state data processing module; After the steady-state data processing module obtains the data, it establishes a steady-state database; When the user turns on the energy-saving mode, the air conditioner sends device status data to the steady-state data processing module; The steady-state data processing module obtains the equipment status data and compares it with the steady-state database to obtain the steady-state temperature value closest to the current equipment status; The steady-state data processing module sends the various state instructions of the temperature value to the smart air conditioner; After receiving the status instructions, the air conditioner executes them one by one until it reaches the steady-state temperature value.

2. A method for real-time calculation of air conditioning temperature value based on user working conditions according to claim 1, characterized in that: The air conditioner transmits the device status data to the data analysis and processing module, and the data analysis and processing module processes the data in the following steps: The air conditioner encrypts the data during transmission of device status data and transmits the secret key together with the data; After receiving the data, the data parsing and processing module will first match the secret key. If the match is successful, it will proceed with subsequent operations. If it is unsuccessful, it will be discarded directly.

3. The method for real-time calculation of air conditioning temperature value based on user working conditions according to claim 1, characterized in that: The establishment of the steady-state database specifically includes the following steps: The steady-state data processing module filters the data after temperature stabilization and stores all the filtered data in the steady-state database.

4. A method for real-time calculation of air conditioning temperature value based on user working conditions as claimed in claim 3, characterized in that: Before storing all filtered data in the steady-state database, perform the following steps: The stabilized data is compared and screened with the historical data in the steady-state database. The specific steps of the screening are: under the same conditions, the minimum indoor temperature value is retained; Using the stabilized data to correct the steady-state historical data, the correction is specifically to lower the temperature value when the cooling capacity is stronger or the external conditions are hotter; Use the stabilized data to retain the historical data of steady-state data. For fixed wind speed gears, daytime, operating mode, and set temperature, if the set temperature can be reached, only the highest outdoor temperature will be retained.

5. A method for real-time calculation of air conditioning temperature value based on user working conditions as claimed in claim 4, characterized in that: Before the data parsing module processes the data, the following steps are performed: After the steady-state data processing module obtains the data, the following steps are performed: Filter to determine whether the air conditioner is turned on. If so, continue to determine whether it is the first data of power on. If not, determine whether it is the first time of shutdown; When judging whether it is the first data after power-on, if it is, record the device and environmental status data and write it into the steady-state database; otherwise, judge whether it is the data after the temperature stabilizes; When determining whether it is the first shutdown, if so, the data is written to the steady-state database; otherwise, it is not written.

6. A temperature control system for air conditioning that calculates the temperature value in real time based on user working conditions, characterized in that: Including air conditioning, data analysis and processing module, steady-state data processing module; The air conditioner is used to transmit equipment and environmental status data to the data analysis and processing module and execute instructions; The data analysis and processing module is used to process the data; The steady-state data processing module is used to establish a steady-state database and compare it with the steady-state database to obtain the steady-state temperature value that is closest to the current device state.

7. The temperature control system for air conditioning temperature values ​​based on user operating conditions in real time according to claim 6, characterized in that: Also included is, a user visualization module; The user visualization module is used to configure the data filtering conditions of the steady-state data processing module and send the energy-saving mode instruction to the data analysis and processing module.

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