CN112115353A - Air conditioner matching number recommendation method, device and system, computer equipment and storage medium - Google Patents
Air conditioner matching number recommendation method, device and system, computer equipment and storage medium Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The application relates to a recommendation method and device for air conditioner matching, system computer equipment and a storage medium. The method comprises the following steps: acquiring the average indoor temperature of a room to be recommended and the average outdoor temperature of the current area within a preset test duration; determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature; and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended. By the adoption of the method, the matching number can be recommended based on the area and the temperature, and the recommendation accuracy is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a system, a computer device, and a storage medium for recommending air conditioner matching.
Background
With the pursuit of users for higher and higher quality of life, air conditioners have become essential household products in the life of users. When a user purchases air conditioner products, the user is usually faced with the problem of selecting how many air conditioners based on the demands of different refrigerating capacities. Conventionally, the selection of the corresponding number of air conditioners is mostly determined according to the area of a room where the air conditioners are installed.
However, besides the room area, the orientation and layout of the room have a certain influence on the cooling capacity. Therefore, the conventional air conditioner merely picking the corresponding number of matches based on the room area reduces the accuracy.
Disclosure of Invention
The invention provides a recommendation method, device, system, computer equipment and storage medium for air conditioner matching aiming at the problem that the accuracy is reduced by selecting the air conditioner matching based on the room area.
A recommendation method for air conditioner matching is characterized by comprising the following steps:
acquiring the average indoor temperature of a room to be recommended and the average outdoor temperature of the current area within a preset test duration;
determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature;
and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
In one embodiment, the determining an indoor bias temperature from the average indoor temperature and the average outdoor temperature includes:
acquiring a standard temperature data set;
inquiring standard indoor temperature corresponding to the average outdoor temperature from the standard temperature data set;
and comparing the standard indoor temperature with the average indoor temperature to obtain the indoor deviation temperature.
In one embodiment, the determining a recommendation match according to the indoor deviation temperature and the room area of the room to be recommended includes:
determining an initial recommendation matching number according to the room area of the room to be recommended;
summing the refrigerating capacity corresponding to the initial recommended matching number and the deviation refrigerating capacity corresponding to the indoor deviation temperature to obtain the actual required refrigerating capacity of the room to be recommended;
and determining a recommended matching number according to the actual required refrigerating capacity of the room to be recommended.
In one embodiment, the determining a recommended matching number according to the actual required cooling capacity of the room to be recommended includes:
when the actually required refrigerating capacity is larger than the refrigerating capacity corresponding to the first matching number and smaller than the refrigerating capacity corresponding to the second matching number, taking the second matching number as the recommended matching number; the first number of matches is less than the second number of matches.
In one embodiment, the obtaining the average indoor temperature of the room to be recommended and the average outdoor temperature of the current area within the preset test duration includes:
detecting the indoor temperature of the room to be recommended and acquiring the outdoor temperature of the current area at each time point within the preset test duration;
and respectively calculating the average value of the indoor temperature and the average value of the outdoor temperature at each time point to obtain the average indoor temperature and the average outdoor temperature.
In one embodiment, the determining an initial recommendation match according to the room area of the room to be recommended includes:
receiving the room area of the room to be recommended;
and determining the initial recommended matching number corresponding to the room area based on the mapping relation between the room area and the air conditioner matching number.
A system for recommending air conditioner matches, the system comprising:
the temperature detection equipment is used for detecting the indoor temperature of the room to be recommended and sending the indoor temperature to the recommendation device of the air conditioner number within the preset test duration;
the recommendation device of the number of the air conditioners is used for determining the average indoor temperature of the room to be recommended according to the indoor temperature sent by the temperature detection equipment; and also for obtaining an average outdoor temperature for the current region; determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature; and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
An apparatus for recommending air conditioner matches, the apparatus comprising:
the acquisition module is used for acquiring the average indoor temperature of the room to be recommended and the average outdoor temperature of the current area within a preset test duration;
the determining module is used for determining indoor deviation temperature according to the average indoor temperature and the average outdoor temperature;
and the recommending module is used for determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the air conditioner match recommendation methods when the processor executes the computer program.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for recommending air conditioner matches as described in any one of the above.
According to the method, the device, the system, the computer equipment and the storage medium for recommending the air conditioner matching number, the average indoor temperature of the room to be recommended and the average outdoor temperature of the current area within the preset test duration are obtained, the indoor deviation temperature in the room to be recommended is determined according to the average indoor temperature and the average outdoor temperature, and the recommended matching number is determined by combining the indoor deviation temperature and the room area, so that the air conditioner matching number is recommended based on two dimensions of temperature and area, the influence of different orientations and layouts of the rooms on the room temperature is avoided, and the matching number recommendation accuracy is improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for recommending air conditioner matches;
FIG. 2 is a flowchart illustrating a method for recommending air conditioner matches according to an embodiment;
FIG. 3 is a flowchart illustrating the step of determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended in one embodiment;
FIG. 4 is a block diagram illustrating a method for recommending air conditioner matches according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for recommending the number of the air conditioners can be applied to the application environment shown in fig. 1. The terminal 102 communicates with the temperature detection device 104 and the server 106 via a network. When the terminal 102 receives the indoor temperature fed back by the temperature detection device 104, there may be a method for the terminal 102 to implement the recommendation of the number of air conditioners alone, or the terminal 102 may send the indoor temperature to the server 106, and the server 106 implements the recommendation of the number of air conditioners.
Specifically, the temperature detection device 104 detects the indoor temperature of the room to be recommended within a preset test duration and sends the indoor temperature to the terminal 102; the terminal 102 determines the average indoor temperature of the room to be recommended according to the indoor temperature sent by the temperature detection device 104; the terminal 102 acquires the average outdoor temperature of the current area; the terminal 102 determines an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature; the terminal 102 determines the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the temperature detection device 104 may be placed inside a room to be recommended, and may be, but is not limited to, a temperature sensor, a thermometer, and an intelligent thermostat. The server 106 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, a method for recommending air conditioner matches is provided, which is described by taking the method as an example for being applied to the terminal in fig. 1, and includes the following steps:
step S202, the average indoor temperature of the room to be recommended and the average outdoor temperature of the current area within the preset test duration are obtained.
The preset test duration is a set duration that needs to be subjected to a temperature test, and may be, for example, n hours of temperature test, where n may be any value. It may also be a fixed test period of time, for example 9 hours in 9 o 'clock-18 o' clock is the preset test period of time. The room to be recommended refers to a room for which the corresponding air conditioner number needs to be recommended. The average indoor temperature refers to an average value of indoor temperatures within a preset test duration, and the average outdoor temperature refers to an average value of indoor and outdoor temperatures within the preset test duration.
Specifically, when the terminal receives a recommendation instruction issued by a user, the outdoor temperature of the current region (the region where the room to be recommended is located) within the preset test duration is obtained through positioning and networking, which can be understood as obtaining the outdoor temperature within the preset test duration in the weather forecast. Meanwhile, the terminal sends an instruction for detecting the indoor temperature within a preset test duration to the temperature detection equipment. The temperature detection equipment detects and responds to the instruction, detects the indoor temperature of the room to be recommended within a preset test duration, and feeds the detected indoor temperature back to the terminal. It should be understood that, if the preset test duration includes a fixed test time period, the temperature detection device performs detection within the fixed test time period. If the preset test duration does not include the fixed test time period, the temperature detection equipment starts to perform temperature detection while receiving the detection instruction. And when the temperature detection equipment detects the indoor temperature within the preset test duration, the temperature detection can be carried out continuously, and a fixed number of time points can be selected according to the instruction to carry out the temperature detection. For example, four time points, such as 9 points, 12 points, 14 points, and 16 points, are selected for temperature detection. And then, the terminal respectively carries out average value calculation on each obtained outdoor temperature and each obtained indoor temperature to obtain an average indoor temperature and an average outdoor temperature.
In one embodiment, step S202 includes: detecting the indoor temperature of a room to be recommended at each time point within a preset test duration, and acquiring the outdoor temperature of the current area; and respectively calculating the average value of the indoor temperature and the average value of the outdoor temperature at each time point to obtain the average indoor temperature and the average outdoor temperature.
Specifically, when the obtained preset test duration is used for temperature testing, the terminal may send temperature detection instructions to the temperature detection device at the determined test time points, so as to control the temperature detection device to detect the indoor temperature of the room to be recommended at each time point. And the terminal respectively obtains the outdoor temperature of the current area at each time point through positioning and networking. And then, the terminal calculates the average value of the detected indoor temperatures fed back by the temperature detection equipment at each time point to obtain the average indoor temperature. And carrying out average calculation on the outdoor temperature of each time point obtained through positioning and networking to obtain the average outdoor temperature. It should be understood that when the temperature test is performed, in order to ensure the accuracy of the temperature, the doors and windows of the room to be recommended may be closed.
And step S204, determining indoor deviation temperature according to the average indoor temperature and the average outdoor temperature.
The indoor deviation temperature refers to a deviation temperature of a standard indoor temperature corresponding to the average indoor temperature and the average outdoor temperature of the current test.
Specifically, the terminal determines a standard outdoor temperature corresponding to the average outdoor temperature according to a standard temperature data set established in advance. Then, a deviation temperature of the standard indoor temperature of the average indoor temperature is calculated to obtain an indoor deviation temperature. The standard temperature data set can be pre-stored locally in the terminal, or the terminal acquires the configured standard temperature data set from a database on the server side through communication with the server.
And step S206, determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
Specifically, since the number of matches is conventionally recommended according to the area, the number of matches that should be recommended can be preliminarily determined according to the room area of the room to be recommended. And after the indoor deviation temperature of the room to be recommended is determined, whether the temperature is higher or lower relative to the standard indoor temperature of the room to be recommended can be determined according to the indoor temperature deviation, the preliminarily determined matching number is adjusted, and the final recommended matching number is determined. For example, when it is determined that the temperature of the room to be recommended is lower than in the standard case based on the indoor temperature deviation, the preliminarily determined match number may be adjusted downward to reduce the cooling capacity. And when the temperature of the room to be recommended is determined to be higher than that under the standard condition according to the indoor temperature deviation, the temperature of the room is indicated to be higher, and the preliminarily determined matching number can be adjusted upwards to increase the refrigerating capacity.
According to the method for recommending the air conditioner matching number, the average indoor temperature of the room to be recommended in the preset test duration and the average outdoor temperature of the current area are obtained, the indoor deviation temperature in the room to be recommended is determined according to the average indoor temperature and the average outdoor temperature, and the recommended matching number is determined by combining the indoor deviation temperature and the room area, so that the air conditioner matching number is recommended based on two dimensions of temperature and area, the influence of different orientations and layouts of the rooms on the room temperature is avoided, and the matching number recommendation accuracy is improved.
In one embodiment, step S204 includes: acquiring a standard temperature data set; inquiring standard indoor temperature corresponding to the average outdoor temperature from the standard temperature data set; and comparing the standard indoor temperature with the average indoor temperature to obtain the indoor deviation temperature.
The standard temperature data set is pre-established and comprises data sets of corresponding standard indoor temperatures at different average outdoor temperatures. By collecting the indoor temperature and the outdoor temperature of the room which meet the national building standard, the corresponding relation between the outdoor temperature and the indoor temperature is established, for example, when the average outdoor temperature of one day is 30 ℃, the average temperature of the indoor room in one day corresponds to the temperature of the indoor room.
Specifically, when the indoor deviation temperature needs to be determined, a pre-established standard temperature data set is first acquired. And inquiring in the standard temperature data set to obtain the standard indoor temperature corresponding to the average outdoor temperature. Then, the difference between the standard indoor temperature and the average indoor temperature is determined by comparing the standard indoor temperature with the average indoor temperature or performing difference calculation, so as to obtain the indoor temperature deviation. For example, if the average indoor temperature is m ℃ higher than the standard indoor temperature, the indoor deviation temperature is + m ℃. And when the average indoor temperature is lower than the standard indoor temperature by m ℃, the indoor deviation temperature is-m ℃.
In this embodiment, the indoor deviation temperature is determined by the established standard temperature data set, and the accuracy of deviation determination can be improved.
In one embodiment, as shown in fig. 3, step S206 includes:
step S302, determining the initial recommendation matching number according to the room area of the room to be recommended.
And step S304, summing the refrigerating capacity corresponding to the initial recommended matching number and the deviation refrigerating capacity corresponding to the indoor deviation temperature to obtain the actual required refrigerating capacity of the room to be recommended.
And S306, determining the recommended matching number according to the actual required refrigerating capacity of the room to be recommended.
The initial recommendation match number is the recommendation match number determined according to the room area of the room to be recommended. The refrigerating capacity is the sum of the heat removed from a closed space, a room or an area in unit time when a refrigerating machine such as an air conditioner performs refrigerating operation.
Specifically, according to the corresponding relation between the room area and the number of the air conditioners, the number of the air conditioners corresponding to the room area of the room to be recommended is determined, and the initial recommended number is obtained. For example, if the number of air conditioners corresponding to a room area of 15 square meters is 1, then 1 is the recommended number. Then, since the air conditioner match number and the cooling capacity are corresponding, the cooling capacity corresponding to the initial recommended match number is calculated. And calculating the cooling capacity required for overcoming the indoor deviation temperature. And obtaining the refrigerating capacity actually required by the room to be recommended according to the refrigerating capacity corresponding to the initial recommended matching number and the refrigerating capacity corresponding to the deviation temperature. And finally, inquiring the matching number corresponding to the actually required refrigerating capacity as a recommended matching number based on the corresponding relation between the refrigerating capacity and the matching number. For example, the refrigerating capacity of 2200-2600W corresponds to 1, the refrigerating capacity of 3200-3600W corresponds to 1.5, the refrigerating capacity of 4500-5100W corresponds to 2, the refrigerating capacity of 7100-.
In one embodiment, step S302 includes: receiving the room area of a room to be recommended; and determining the initial recommended matching number corresponding to the room area based on the mapping relation between the room area and the air conditioner matching number.
Specifically, the room area of the room to be recommended, which is input by the recommending device for receiving the number of air conditioners operated by the user, is assumed to be input by the user operating the input device of the terminal, such as a keyboard, a touch screen, and the like. And then, after receiving the room area of the user, the terminal acquires the mapping relation between different pre-established room areas and the number of the air conditioners. And determining the number of air conditioners corresponding to the room area of the room to be recommended according to the mapping relation, wherein the number of air conditioners is the initial recommended number. The mapping relation between different room areas and the number of the air conditioners can be prestored locally or obtained by the terminal through communication with the server.
In the embodiment, the recommended matching number is determined by calculating the actual required refrigerating capacity of the room, and the recommendation accuracy is improved.
In one embodiment, when the actually required refrigerating capacity is larger than the refrigerating capacity corresponding to the first matching number and smaller than the refrigerating capacity corresponding to the second matching number, the second matching number is used as the recommended matching number; the first number is less than the second number.
The first matching number and the second matching number refer to different air conditioner matching numbers, and the first matching number is smaller than the second matching number. For example, the first match is 1 match, and the second match is 1.5 matches greater than 1 match.
Specifically, when the recommended matching number is determined according to the actual required refrigeration capacity, and the actual required refrigeration capacity is located between the refrigeration capacity corresponding to the first matching number and the refrigeration capacity corresponding to the second matching number, the embodiment inherits the principle of selecting large or small, and selects the second matching number as the recommended matching number. For example, the cooling capacity of 2200-2600W corresponds to 1 piece, and the cooling capacity of 3200-3600W corresponds to 1.5 pieces. And when the actual required refrigerating capacity is 2800W, 1.5 pieces of refrigerating capacity are selected as the recommended number of pieces.
In the embodiment, the recommended matching number is determined based on the principle of selecting large or small, the condition that the refrigerating capacity requirement cannot be met due to small selection is avoided, and therefore the recommendation accuracy is improved.
In one example, a recommendation system for the number of air conditioners is provided and comprises a temperature detection device and a recommendation device for the number of air conditioners, wherein the recommendation device is connected with the temperature detection device. Specifically, the temperature detection device detects the indoor temperature of the room to be recommended and sends the indoor temperature to the recommendation device of the air conditioner matching number within the preset test duration. And the recommendation device for the number of the air conditioners determines the average indoor temperature of the room to be recommended according to the indoor temperature sent by the temperature detection equipment. And obtaining the average outdoor temperature of the current area; determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature; and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 4, there is provided an air conditioner match recommending apparatus, including: an obtaining module 402, a determining module 404, and a recommending module 406, wherein:
an obtaining module 402, configured to obtain an average indoor temperature of a room to be recommended and an average outdoor temperature of a current area within a preset test duration.
A determining module 404 for determining an indoor bias temperature based on the average indoor temperature and the average outdoor temperature.
And the recommending module 406 is configured to determine the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
In one embodiment, the determination module 404 is further configured to obtain a standard temperature data set; inquiring standard indoor temperature corresponding to the average outdoor temperature from the standard temperature data set; and comparing the standard indoor temperature with the average indoor temperature to obtain the indoor deviation temperature.
In one embodiment, the recommendation module 406 is further configured to determine an initial recommendation match according to the room area of the room to be recommended; summing the refrigerating capacity corresponding to the initial recommended matching number and the deviation refrigerating capacity corresponding to the indoor deviation temperature to obtain the actual required refrigerating capacity of the room to be recommended; and determining the recommended matching number according to the actual required refrigerating capacity of the room to be recommended.
In one embodiment, the recommending module 406 is further configured to take the second matching number as the recommended matching number when the actually required cooling capacity is greater than the cooling capacity corresponding to the first matching number and smaller than the cooling capacity corresponding to the second matching number; the first number is less than the second number.
In one embodiment, the obtaining module 402 is further configured to detect the indoor temperature of the room to be recommended at each time point within the preset test duration, and obtain the outdoor temperature of the current area; and respectively calculating the average value of the indoor temperature and the average value of the outdoor temperature at each time point to obtain the average indoor temperature and the average outdoor temperature.
In one embodiment, the recommendation module 406 is further configured to receive a room area of a room to be recommended; and determining the initial recommended matching number corresponding to the room area based on the mapping relation between the room area and the air conditioner matching number.
For specific limitation of the recommendation device for the number of air conditioners, reference may be made to the above limitation on the recommendation method for the number of air conditioners, and details are not described herein again. All or part of the modules in the air conditioner matching recommending device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 5. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method for recommending air conditioner matches. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring the average indoor temperature of a room to be recommended and the average outdoor temperature of the current area within a preset test duration;
determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature;
and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a standard temperature data set; inquiring standard indoor temperature corresponding to the average outdoor temperature from the standard temperature data set; and comparing the standard indoor temperature with the average indoor temperature to obtain the indoor deviation temperature.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining an initial recommendation matching number according to the room area of the room to be recommended; summing the refrigerating capacity corresponding to the initial recommended matching number and the deviation refrigerating capacity corresponding to the indoor deviation temperature to obtain the actual required refrigerating capacity of the room to be recommended; and determining the recommended matching number according to the actual required refrigerating capacity of the room to be recommended.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the actual required refrigerating capacity is larger than the refrigerating capacity corresponding to the first matching number and smaller than the refrigerating capacity corresponding to the second matching number, taking the second matching number as the recommended matching number; the first number is less than the second number.
In one embodiment, the processor, when executing the computer program, further performs the steps of: detecting the indoor temperature of a room to be recommended at each time point within a preset test duration, and acquiring the outdoor temperature of the current area; and respectively calculating the average value of the indoor temperature and the average value of the outdoor temperature at each time point to obtain the average indoor temperature and the average outdoor temperature.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving the room area of a room to be recommended; and determining the initial recommended matching number corresponding to the room area based on the mapping relation between the room area and the air conditioner matching number.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring the average indoor temperature of a room to be recommended and the average outdoor temperature of the current area within a preset test duration;
determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature;
and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a standard temperature data set; inquiring standard indoor temperature corresponding to the average outdoor temperature from the standard temperature data set; and comparing the standard indoor temperature with the average indoor temperature to obtain the indoor deviation temperature.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining an initial recommendation matching number according to the room area of the room to be recommended; summing the refrigerating capacity corresponding to the initial recommended matching number and the deviation refrigerating capacity corresponding to the indoor deviation temperature to obtain the actual required refrigerating capacity of the room to be recommended; and determining the recommended matching number according to the actual required refrigerating capacity of the room to be recommended.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the actual required refrigerating capacity is larger than the refrigerating capacity corresponding to the first matching number and smaller than the refrigerating capacity corresponding to the second matching number, taking the second matching number as the recommended matching number; the first number is less than the second number.
In one embodiment, the computer program when executed by the processor further performs the steps of: detecting the indoor temperature of a room to be recommended at each time point within a preset test duration, and acquiring the outdoor temperature of the current area; and respectively calculating the average value of the indoor temperature and the average value of the outdoor temperature at each time point to obtain the average indoor temperature and the average outdoor temperature.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving the room area of a room to be recommended; and determining the initial recommended matching number corresponding to the room area based on the mapping relation between the room area and the air conditioner matching number.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A recommendation method for air conditioner matching is characterized by comprising the following steps:
acquiring the average indoor temperature of a room to be recommended and the average outdoor temperature of the current area within a preset test duration;
determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature;
and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
2. The method of claim 1, wherein determining an indoor bias temperature from the average indoor temperature and the average outdoor temperature comprises:
acquiring a standard temperature data set;
inquiring standard indoor temperature corresponding to the average outdoor temperature from the standard temperature data set;
and comparing the standard indoor temperature with the average indoor temperature to obtain the indoor deviation temperature.
3. The method of claim 1, wherein determining the recommended match according to the indoor bias temperature and the room area of the room to be recommended comprises:
determining an initial recommendation matching number according to the room area of the room to be recommended;
summing the refrigerating capacity corresponding to the initial recommended matching number and the deviation refrigerating capacity corresponding to the indoor deviation temperature to obtain the actual required refrigerating capacity of the room to be recommended;
and determining a recommended matching number according to the actual required refrigerating capacity of the room to be recommended.
4. The method of claim 3, wherein the determining a recommended match based on the actual required cooling capacity of the room to be recommended comprises:
when the actually required refrigerating capacity is larger than the refrigerating capacity corresponding to the first matching number and smaller than the refrigerating capacity corresponding to the second matching number, taking the second matching number as the recommended matching number; the first number of matches is less than the second number of matches.
5. The method according to claim 1, wherein the obtaining the average indoor temperature of the room to be recommended and the average outdoor temperature of the current area within the preset test time period comprises:
detecting the indoor temperature of the room to be recommended and acquiring the outdoor temperature of the current area at each time point within the preset test duration;
and respectively calculating the average value of the indoor temperature and the average value of the outdoor temperature at each time point to obtain the average indoor temperature and the average outdoor temperature.
6. The method of claim 3, wherein the determining an initial recommendation match according to the room area of the room to be recommended comprises:
receiving the room area of the room to be recommended;
and determining the initial recommended matching number corresponding to the room area based on the mapping relation between the room area and the air conditioner matching number.
7. The system for recommending the number of the air conditioners is characterized by comprising temperature detection equipment and an air conditioner number recommending device connected with the temperature detection equipment;
the temperature detection equipment is used for detecting the indoor temperature of the room to be recommended and sending the indoor temperature to the recommendation device of the air conditioner number within the preset test duration;
the recommendation device of the air conditioner matching number is used for determining the average indoor temperature of the room to be recommended according to the indoor temperature sent by the temperature detection equipment; and also for obtaining an average outdoor temperature for the current region; determining an indoor deviation temperature according to the average indoor temperature and the average outdoor temperature; and determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
8. An air conditioner match recommendation device, characterized in that the device comprises:
the acquisition module is used for acquiring the average indoor temperature of the room to be recommended and the average outdoor temperature of the current area within a preset test duration;
the determining module is used for determining indoor deviation temperature according to the average indoor temperature and the average outdoor temperature;
and the recommending module is used for determining the recommended matching number according to the indoor deviation temperature and the room area of the room to be recommended.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114543185A (en) * | 2022-02-16 | 2022-05-27 | 青岛海信日立空调系统有限公司 | Air conditioning system |
| CN115164272A (en) * | 2022-07-19 | 2022-10-11 | 吉林建筑大学 | Intelligent heating processing method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018019026A1 (en) * | 2016-07-29 | 2018-02-01 | 广东美的制冷设备有限公司 | Control method for air conditioner, and air conditioner |
| CN110458439A (en) * | 2019-08-05 | 2019-11-15 | 珠海格力电器股份有限公司 | Model selection method and device for electric equipment |
| CN111105287A (en) * | 2019-10-31 | 2020-05-05 | 宁波奥克斯电气股份有限公司 | Air conditioner intelligent recommendation method, module and system based on big data |
-
2020
- 2020-09-01 CN CN202010901650.9A patent/CN112115353A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018019026A1 (en) * | 2016-07-29 | 2018-02-01 | 广东美的制冷设备有限公司 | Control method for air conditioner, and air conditioner |
| CN110458439A (en) * | 2019-08-05 | 2019-11-15 | 珠海格力电器股份有限公司 | Model selection method and device for electric equipment |
| CN111105287A (en) * | 2019-10-31 | 2020-05-05 | 宁波奥克斯电气股份有限公司 | Air conditioner intelligent recommendation method, module and system based on big data |
Non-Patent Citations (4)
| Title |
|---|
| 向远: "一文看懂，空调匹数与房间面积该怎么选？", pages 1 - 4, Retrieved from the Internet <URL:https://zhuanlan.zhihu.com/p/199818699> * |
| 周元军: "请问空调匹数应该怎么选，最好有使用经验的来说一说使用感受。? - 周元军的回答 - 知乎", pages 1 - 5, Retrieved from the Internet <URL:https://www.zhihu.com/question/392673178/answer/1201987044> * |
| 家电大佬赵德柱: "空调选购误区：不能单看房间面积选择匹数 - 家电大佬赵德柱的文章 - 知乎", pages 1 - 7, Retrieved from the Internet <URL:https://zhuanlan.zhihu.com/p/137392538> * |
| 张巍、区细成: "医疗设备机房的温度条件及空调制冷量的确定", 医疗装备, no. 10, pages 7 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114543185A (en) * | 2022-02-16 | 2022-05-27 | 青岛海信日立空调系统有限公司 | Air conditioning system |
| CN114543185B (en) * | 2022-02-16 | 2023-09-26 | 青岛海信日立空调系统有限公司 | Air conditioning system |
| CN115164272A (en) * | 2022-07-19 | 2022-10-11 | 吉林建筑大学 | Intelligent heating processing method and device |
| CN115164272B (en) * | 2022-07-19 | 2023-08-29 | 吉林建筑大学 | Intelligent heating treatment method and device |
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