CN115614905A - Air conditioner and indoor temperature prediction method and device thereof - Google Patents
Air conditioner and indoor temperature prediction method and device thereof Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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Abstract
The application discloses an air conditioner and an indoor temperature prediction method and device thereof. Wherein, this air conditioner includes: the time control module is used for generating a data acquisition instruction in the running process of the air conditioner and sending the data acquisition instruction to the data acquisition module; the data acquisition module is used for acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: temperature of the temperature sensing bulb, set temperature, temperature of the inner pipe and temperature of the outer ring; and the indoor temperature calculation module is used for calculating the indoor temperature of the air conditioner according to the temperature data. Through the method and the device, the technical problem that the accuracy of indoor temperature prediction of the air conditioner is low in the related art can be solved, and the effect of improving the accuracy of indoor temperature prediction of the air conditioner is achieved.
Description
Technical Field
The application relates to the technical field of air conditioners, in particular to an air conditioner and an indoor temperature prediction method and device thereof.
Background
In the prior art, the air conditioner needs to execute a corresponding control decision according to the change of the indoor temperature in the operation process. Because the air conditioner cannot directly collect the room temperature of a room, the existing common method is to collect the temperature data at the air inlet by arranging a room temperature sensor (also called an inner machine temperature sensing bulb) on an inner machine of the air conditioner, and the room temperature sensor in the air conditioner is usually arranged on a face frame and positioned at the air inlet. It should be noted that, on one hand, the data collected by the internal thermal bulb is not the real value of the room temperature, and usually the data collected by the internal thermal bulb needs to be corrected for use; on the other hand, because the inner machine temperature sensing bulb is close to the heat exchanger pipeline, the temperature sensing bulb not only can be influenced by the heat radiation of the evaporator, but also can be influenced by the heat radiation of the motor and the like, and the temperature measuring result generates deviation.
Obviously, the technical method for determining the room temperature by arranging the room temperature sensor in the indoor unit of the air conditioner has the technical defect of poor adaptability in practical application, and the detected parameters are easily interfered. Therefore, only by a simple correction method, the real indoor temperature is easily misjudged, which can cause that the air conditioner cannot execute the optimal control decision, thereby not only influencing the use experience of the user, but also causing unnecessary energy waste.
In view of the above problem of low accuracy of prediction of the indoor temperature of the air conditioner in the related art, no effective solution has been proposed yet.
Disclosure of Invention
The embodiment of the application provides an air conditioner and an indoor temperature prediction method and device thereof, and aims to at least solve the technical problem that the indoor temperature prediction accuracy of the air conditioner is low in the related technology.
According to an aspect of an embodiment of the present application, there is provided an air conditioner including:
the time control module is used for generating a data acquisition instruction in the running process of the air conditioner and sending the data acquisition instruction to the data acquisition module, wherein the data acquisition instruction is used for indicating the data acquisition module to acquire temperature data;
the data acquisition module is configured to acquire the temperature data according to the data acquisition instruction, where the temperature data includes: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and the indoor temperature calculation module is used for calculating the indoor temperature of the air conditioner according to the temperature data.
Further, the indoor temperature calculation module includes:
an indoor temperature prediction model for calculating an indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer loop temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the temperature of the inner tube, T Outer ring temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
Further, the data acquisition instructions include first instructions and second instructions, wherein:
when the accumulated running time does not exceed the target time after the air conditioner is started, the time control module generates the first instruction, wherein the first instruction is used for instructing the data acquisition module to acquire the temperature data according to a first time interval;
and when the accumulated running time exceeds the target time after the air conditioner is started, the time control module generates the second instruction, wherein the second instruction is used for instructing the data acquisition module to acquire the temperature data according to a second time interval.
Further, when the data acquisition module executes the first instruction, the indoor temperature calculation module determines the acquired temperature of the thermal bulb as the indoor temperature of the air conditioner;
and when the data acquisition module executes the second instruction, the indoor temperature calculation module substitutes the acquired temperature data into the indoor temperature prediction model to calculate the indoor temperature of the air conditioner.
According to an aspect of an embodiment of the present application, there is provided a method for predicting a temperature in an air conditioner, including:
generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: the air conditioner comprises a temperature sensing bulb, a set temperature, an inner pipe temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is the temperature sensing bulb temperature collected by an inner pipe room temperature sensor in the running process of the air conditioner, the set temperature is the running target temperature of the air conditioner set by a user, the inner pipe temperature is the evaporator inner pipe temperature collected by an inner pipe temperature sensing bulb of an inner pipe of an inner evaporator in the running process of the air conditioner, and the outer ring temperature is the outer ring temperature collected by an outer ring temperature sensing bulb in the running process of the air conditioner;
and calculating the indoor temperature of the air conditioner according to the temperature data.
Further, the data acquisition instruction comprises a first instruction and a second instruction, wherein the generating of the data acquisition instruction in the operation process of the air conditioner comprises:
generating the first instruction when the accumulated running time does not exceed the target time after the air conditioner is started, wherein the first instruction is used for indicating to collect the temperature data according to a first time interval;
and generating the second instruction when the accumulated running time exceeds the target time after the air conditioner is started, wherein the second instruction is used for indicating that the temperature data are collected according to a second time interval.
Further, the calculating the indoor temperature of the air conditioner according to the temperature data includes:
when the accumulated running time does not exceed the target time after the air conditioner is started, determining the collected temperature of the thermal bulb as the indoor temperature of the air conditioner;
when the accumulated running time exceeds the target time after the air conditioner is started, calculating the indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer ring temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Inner pipe temperature Is the temperature of the inner tube, T Outer ring temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
According to an aspect of an embodiment of the present application, there is provided an indoor temperature prediction apparatus for an air conditioner, including:
the generating unit is used for generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
the acquisition unit is used for acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and the calculating unit is used for calculating the indoor temperature of the air conditioner according to the temperature data.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program, which when executed performs the method for predicting the temperature in the air conditioner.
According to another aspect of the embodiments of the present application, there is provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the method for predicting the temperature in an air conditioner through the computer program.
The application provides an air conditioner and an indoor temperature prediction method and device thereof, wherein the air conditioner generates a data acquisition instruction in the running process of the air conditioner through a time control module to instruct the data acquisition module to acquire temperature data according to the data acquisition instruction, wherein the temperature data comprise: the temperature of the temperature sensing bulb, the set temperature, the temperature of the inner pipe and the temperature of the outer ring are calculated by the indoor temperature calculating module according to the collected temperature data. The technical problem that the degree of accuracy of air conditioner indoor temperature prediction is lower among the correlation technique can be solved in this application, the indoor actual room temperature of prediction that can be relatively accurate, the reliability is high, can effectively improve room temperature sensor's self-adaptive ability, optimizes air conditioner control decision-making, need not additionally to increase other hardware equipment, utilizes current air conditioner components and parts can satisfy the upgrading demand, and the practicality is strong.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of an alternative air conditioner configuration according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative method for predicting the temperature in an air conditioner according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an alternative process for predicting the temperature in an air conditioner according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram illustrating temperature contrast for an alternative refrigeration condition according to an embodiment of the present application;
FIG. 5 is a schematic diagram illustrating temperature comparison under an alternative heating condition according to an embodiment of the present application;
FIG. 6 is a schematic diagram of an alternative indoor air conditioner temperature prediction device according to an embodiment of the present application;
fig. 7 is a block diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention provides an air conditioner and an indoor temperature prediction method and device thereof.
According to an aspect of embodiments of the present application, there is provided an embodiment of an air conditioner.
Fig. 1 is a schematic diagram of an alternative air conditioner structure according to an embodiment of the present application, and as shown in fig. 1, the air conditioner may include:
the air conditioner comprises a time control module 10, a data acquisition module 20 and a data processing module, wherein the time control module is used for generating a data acquisition instruction in the running process of the air conditioner and sending the data acquisition instruction to the data acquisition module, and the data acquisition instruction is used for indicating the data acquisition module to acquire temperature data;
the data acquisition module 20 is configured to acquire the temperature data according to the data acquisition instruction, where the temperature data includes: temperature T of thermal bulb Temperature sensing bag Set temperature T Set temperature Inner tube temperature T Inner pipe temperature Outer ring temperature T Outer ring temperature Said T is Temperature sensing bag The temperature of the thermal bulb collected by the indoor unit room temperature sensor in the running process of the air conditioner, T Set temperature The target temperature of the air conditioner operation set for the user, T Temperature of inner pipe The temperature of the inner tube of the evaporator is acquired by the inner tube temperature sensing bulb of the inner tube of the evaporator of the indoor unit in the running process of the air conditioner, and T is Outer loop temperature The outer ring temperature is collected by an outer ring temperature sensing bulb in the running process of the air conditioner;
and the indoor temperature calculating module 30 is used for calculating the indoor temperature of the air conditioner according to the temperature data.
It should be noted that, the time control module 10, the data acquisition module 20, and the indoor temperature calculation module 30 may form an indoor temperature prediction module, and the indoor temperature prediction module may be configured to execute the method for predicting the temperature in the air conditioner in the embodiment of the present application, and the indoor temperature prediction module is disposed in the air conditioner.
The time control module 10 is a control terminal for executing the operation time acquisition and timing of the air conditioner, and simultaneously sends a data acquisition instruction to the data acquisition module 20, and the data acquisition module 20 executes corresponding data acquisition according to the data acquisition instruction of the time control module 10.
The data acquisition module 20 is used for executing T in the operation process of the air conditioner Temperature sensing bag 、T Set temperature 、T Temperature of inner pipe 、T Outer ring temperature And the control terminal for data acquisition control receives and executes the data acquisition instruction from the time control module 10 in the data acquisition process. The above temperatures are in units of ℃.
Optionally, the indoor temperature calculation module 30 includes: an indoor temperature prediction model. The data expression of the indoor temperature prediction model is as follows:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer loop temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the temperature of the inner tube, T Outer loop temperature The specific values of the equation correction coefficients of the outdoor temperature prediction model are alpha, beta, gamma, delta and epsilon, and the specific values of the equation correction coefficients can be in different value ranges according to different models of the air conditioner.
Optionally, the data acquisition instruction includes a first instruction and a second instruction, wherein:
when the accumulated running time does not exceed the target time after the air conditioner is started, the time control module 10 generates the first instruction, wherein the first instruction is used for instructing the data acquisition module 20 to acquire the temperature data according to a first time interval;
when the accumulated running time exceeds the target time after the air conditioner is started, the time control module 10 generates the second instruction, where the second instruction is used to instruct the data acquisition module 20 to acquire the temperature data according to a second time interval.
Further, when the data collection module 20 executes the first instruction, the indoor temperature calculation module 30 determines the collected temperature of the thermal bulb as the indoor temperature of the air conditioner;
when the data acquisition module 20 executes the second instruction, the indoor temperature calculation module 30 substitutes the acquired temperature data into the indoor temperature prediction model to calculate the indoor temperature of the air conditioner.
In the actual experiment process, it is found that in the initial period of the air conditioner starting operation, because the temperature of the inner pipe of the air conditioner is in the state of rapid temperature rise/temperature drop, various system parameters are in the fluctuation stage at the moment. In this stage, due to unstable system parameters, the calculation result obtained by using the indoor temperature prediction model also has large fluctuation and errors, but the air conditioner needs an indoor temperature value as a judgment decision of program control at the moment.
In order to improve the accuracy of the data collected by the data collection module 20 and the accuracy of the calculation result of the indoor temperature prediction model, a set of program control method for data collection is arranged in the time control module 10. The program control method for data acquisition is a program instruction which is stored in an indoor temperature prediction module and used for controlling a data acquisition module 20 to perform data acquisition, and specifically comprises a data acquisition instruction (1) (namely, the first instruction) and a data acquisition instruction (2) (namely, the second instruction);
the data acquisition instruction (1) specifically refers to that the time control module 10 and the data acquisition module 20 send instructions to the data acquisition module 20 during the time when the accumulated running time of the air conditioner is 0 to T1 (i.e. the target time) under the control of the indoor temperature prediction module, and the data acquisition module 20 acquires T times at intervals of Δ T2 (i.e. the first time interval) Temperature sensing bag 、T Set temperature 、T Temperature of inner pipe 、T Outer loop temperature Data;
the data acquisition instruction (2) is specificallyUnder the control of the indoor temperature prediction module, the time control module 10 and the data acquisition module 20 send a command to the data acquisition module 20 after the accumulated operation time of the air conditioner is at the time T1, and the data acquisition module 20 acquires T once at a time interval of Δ T3 (i.e., the second time interval) Temperature sensing bag 、T Set temperature 、T Temperature of inner pipe 、T Outer ring temperature Data;
optionally, the value range of T1 is 0 to 30min, and the preferable value of the present application document is 5min;
the value range of the delta T2 is 0-5 min, and the preferable value of the application document is 60s;
the value range of the delta T3 is 0-5 min, and the preferable value of the application document is 30s;
it should be noted that:
when the data collection module 20 executes the data collection command (1), the indoor temperature calculation module 30 does not execute the relevant data processing command, and the air conditioner will collect T Temperature sensing bag The value is considered to be approximately equal to the room temperature T of the room at that time At room temperature That is, when the data acquisition module 20 executes the data acquisition instruction (1), the system considers T At room temperature ＝T Temperature sensing bag ；
When the data acquisition module 20 executes the data acquisition instruction (2), the indoor temperature calculation module 30 executes the relevant data processing instruction, and at this time, the indoor temperature calculation module 30 receives the instruction of the data acquisition module 20 and acquires the real-time acquired T Temperature sensing bag 、T Set temperature 、T Inner pipe temperature 、T Outer ring temperature Substituting the data into an indoor temperature prediction model, and calculating to obtain T At room temperature The system considers the T calculated at this time At room temperature Is the true indoor temperature.
The application provides an air conditioner, which can solve the technical problem that the accuracy of indoor temperature prediction of the air conditioner is low in the related art.
According to an aspect of the embodiments of the present application, an embodiment of a method for predicting a temperature in an air conditioner is provided. Fig. 2 is a flowchart of an alternative method for predicting the indoor temperature of an air conditioner according to an embodiment of the present disclosure, as shown in fig. 2, the method may include the following steps:
step S201, generating a data acquisition instruction in the operation process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
step S202, collecting the temperature data according to the data collecting instruction, wherein the temperature data comprises: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and step S203, calculating the indoor temperature of the air conditioner according to the temperature data.
Further, the data acquisition instruction includes a first instruction and a second instruction, wherein the step S201 of generating the data acquisition instruction in the operation process of the air conditioner includes:
generating the first instruction when the accumulated running time does not exceed the target time after the air conditioner is started, wherein the first instruction is used for indicating to collect the temperature data according to a first time interval;
and generating the second instruction when the accumulated running time exceeds the target time after the air conditioner is started, wherein the second instruction is used for indicating that the temperature data are collected according to a second time interval.
Further, the step S203 of calculating the indoor temperature of the air conditioner according to the temperature data includes:
when the accumulated running time does not exceed the target time after the air conditioner is started, determining the collected temperature of the thermal bulb as the indoor temperature of the air conditioner;
when the accumulated running time exceeds the target time after the air conditioner is started, calculating the indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer loop temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Inner pipe temperature Is the temperature of the inner tube, T Outer loop temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
It should be noted that the above steps may be performed by an indoor temperature prediction module in the air conditioner, specifically, step S201 may be performed by the time control module 10 in the above embodiment, step S202 may be performed by the data acquisition module 20 in the above embodiment, and step S203 may be performed by the indoor temperature calculation module 30 in the above embodiment.
As shown in fig. 3, when the air conditioner is turned on, the indoor temperature prediction module starts to execute the program instructions. The starting of the program instructions by the indoor temperature prediction module specifically includes:
the time control module starts to work, and at the moment, the time control module simultaneously executes the running time acquisition instruction and the timing instruction;
the data acquisition module performs data acquisition under the instruction of the time control module;
and the indoor temperature calculation module receives the real-time data acquired by the data acquisition module under the instruction of the time control module, substitutes the real-time data into the indoor temperature prediction model to execute a calculation instruction, and outputs a calculation result.
The time control module executes an air conditioner operation time acquisition instruction, specifically, the accumulated operation time of the air conditioner does not reach the time T1 from the starting operation time of the air conditioner, the time control module executes the time acquisition instruction, specifically, the accumulated operation time of the air conditioner is recorded, and meanwhile, the instruction sent to the data acquisition module by the time control module in the time period is the data acquisition instruction (1).
The time control module executes a timing instruction of the air conditioner, specifically, after the accumulated operation time of the air conditioner reaches the time T1, the time timing module starts to execute the timing instruction, and the instruction sent to the data acquisition module by the time control module is a data acquisition instruction (2).
The time control module executes a timing instruction of the air conditioner, and specifically, executes the timing instruction from the starting-up running time of the air conditioner.
During the accumulated operation time of the air conditioner is between 0 and T1, the timing instruction of the time control module takes Delta T2 as a time interval, when the timing meets one time of Delta T2, the time control module sends an instruction to the data acquisition module, and the executed data acquisition instruction (1) specifically acquires one time of T for the Delta T2 according to the time interval Temperature sensing bag 、T Set temperature 、T Inner pipe temperature 、T Outer ring temperature Data;
after the accumulated operation time of the air conditioner is at the time T1, the timing instruction of the time control module takes the time interval of delta T3, the time control module sends an instruction to the data acquisition module, and the executed data acquisition instruction (2) is specifically to acquire T once for the delta T3 according to the time interval Temperature sensing bag 、T Set temperature 、T Inner pipe temperature 、T Outer ring temperature Data;
it should be noted that the calculation result output by the present application is composed of two parts:
when the data acquisition module executes the data acquisition instruction (1), the indoor temperature calculation module cannot execute the related data processing instruction, and the air conditioner acquires the T Temperature sensing bag The value is considered to be approximately equal to T of the room at that time At room temperature That is, when the data acquisition module executes the data acquisition instruction (1), the system considers T At room temperature ＝T Temperature sensing bag ；
When the data acquisition module executes the data acquisition instruction (2), the indoor temperature calculation module executes a related data processing instruction, and at the moment, the indoor temperature calculation module receives the instruction of the data acquisition module and acquires the T acquired in real time Temperature sensing bag 、T Set temperature 、T Temperature of inner pipe 、T Outer ring temperature Data substitution into indoor temperature prediction of the present applicationIn the measurement model, T is obtained by calculation At room temperature The system considers the calculated T at this time At room temperature Is the true indoor temperature.
Fig. 4 and 5 show comparison conditions of the predicted temperature calculated by the method for predicting the temperature in the air conditioner under the refrigerating and heating working conditions, the measured temperature and the temperature of the temperature sensing bulb, and experiments prove that the indoor temperature predicted by the method for predicting the temperature in the air conditioner according to the embodiment of the application is more accurate. The indoor temperature prediction method for the air conditioner sends the calculated indoor temperature value to the air conditioning system, so that the accuracy of the control strategy of the air conditioner is improved, and meanwhile, the energy consumption of the air conditioning system is reduced.
The embodiment of the application can solve the technical problem that the air conditioner temperature sensor is poor in self-adaptability in practical application and the technical problem that the temperature value acquired by the air conditioner temperature sensor is corrected with the real room temperature. By the embodiment of the application, the indoor actual room temperature can be predicted relatively accurately, and the reliability is high; the self-adaptive capacity of the room temperature sensor can be effectively improved, and the control decision of the air conditioner is optimized; need not additionally to increase other hardware equipment, utilize current air conditioner components and parts can satisfy the upgrading demand, the practicality is strong.
It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method according to the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method of the embodiments of the present application.
According to another aspect of the embodiments of the present application, there is also provided an indoor air conditioner temperature prediction apparatus for implementing the method for predicting an indoor air conditioner temperature. Fig. 6 is a schematic diagram of an alternative indoor temperature prediction apparatus for an air conditioner according to an embodiment of the present application, as shown in fig. 6, the apparatus may include:
the generating unit 61 is used for generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
an acquisition unit 62, configured to acquire the temperature data according to the data acquisition instruction, where the temperature data includes: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and the calculating unit 63 is used for calculating the indoor temperature of the air conditioner according to the temperature data.
Further, the data acquisition instruction includes a first instruction and a second instruction, wherein the generating unit 61 includes:
the first generating module is used for generating the first instruction when the accumulated running time does not exceed the target time after the air conditioner is started, wherein the first instruction is used for indicating the temperature data to be collected according to a first time interval;
and the second generation module is used for generating the second instruction when the accumulated running time exceeds the target time after the air conditioner is started, wherein the second instruction is used for indicating that the temperature data are collected according to a second time interval.
Further, the calculation unit 63 includes:
the determining module is used for determining the collected temperature of the thermal bulb as the indoor temperature of the air conditioner when the accumulated running time does not exceed the target time after the air conditioner is started;
the calculation module is used for calculating the indoor temperature of the air conditioner according to the following formula when the accumulated running time exceeds the target time after the air conditioner is started up:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer ring temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the temperature of the inner tube, T Outer ring temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
The application provides an indoor temperature prediction device can solve the lower technical problem of the degree of accuracy of air conditioner indoor temperature prediction among the correlation technique.
It should be noted that the generating unit 61 in this embodiment may be configured to execute step S201 in this embodiment, the acquiring unit 62 in this embodiment may be configured to execute step S202 in this embodiment, and the calculating unit 63 in this embodiment may be configured to execute step S203 in this embodiment.
According to another aspect of the embodiments of the present application, there is also provided a server or a terminal or an electronic device for implementing the above method.
Fig. 7 is a block diagram of a terminal according to an embodiment of the present application, and as shown in fig. 7, the terminal may include: one or more processors 701 (only one shown), a memory 703, and a transmission means 705. As shown in fig. 7, the terminal may further include an input-output device 707.
The memory 703 may be used to store software programs and modules, such as program instructions/modules corresponding to the methods and apparatuses in the embodiments of the present application, and the processor 701 executes various functional applications and data processing by running the software programs and modules stored in the memory 703, so as to implement the methods described above. The memory 703 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 703 may further include memory located remotely from the processor 701, which may be connected to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 705 is used for receiving or transmitting data via a network, and may also be used for data transmission between a processor and a memory. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 705 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 705 is a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Among other things, the memory 703 is used to store application programs.
The processor 701 may call the application program stored in the memory 703 through the transmission means 705 to perform the following steps:
generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and calculating the indoor temperature of the air conditioner according to the temperature data.
The processor 701 is further configured to perform the following steps:
generating the first instruction when the accumulated running time does not exceed the target time after the air conditioner is started, wherein the first instruction is used for indicating that the temperature data are collected according to a first time interval;
and generating the second instruction when the accumulated running time exceeds the target time after the air conditioner is started, wherein the second instruction is used for indicating that the temperature data are collected according to a second time interval.
The processor 701 is further configured to perform the following steps:
when the accumulated running time does not exceed the target time after the air conditioner is started, determining the collected temperature of the thermal bulb as the indoor temperature of the air conditioner;
when the accumulated running time exceeds the target time after the air conditioner is started, calculating the indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer ring temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the temperature of the inner tube, T Outer ring temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
It should be understood by those skilled in the art that the structure shown in fig. 7 is only an illustration, and the terminal may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a Mobile Internet Device (MID), PAD, etc. Fig. 7 is a diagram illustrating a structure of the electronic device. For example, the terminal may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 7, or have a different configuration than shown in FIG. 7.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, read-Only memories (ROMs), random Access Memories (RAMs), magnetic or optical disks, and the like.
Embodiments of the present application also provide a storage medium. Alternatively, in this embodiment, the storage medium may be a program code for executing the method.
Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.
Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:
generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and calculating the indoor temperature of the air conditioner according to the temperature data.
Optionally, the storage medium is further arranged to store program code for performing the steps of:
generating the first instruction when the accumulated running time does not exceed the target time after the air conditioner is started, wherein the first instruction is used for indicating that the temperature data are collected according to a first time interval;
and generating the second instruction when the accumulated running time exceeds the target time after the air conditioner is started, wherein the second instruction is used for indicating that the temperature data are collected according to a second time interval.
Optionally, the storage medium is further arranged to store program code for performing the steps of:
when the accumulated running time does not exceed the target time after the air conditioner is started, determining the collected temperature of the thermal bulb as the indoor temperature of the air conditioner;
when the accumulated running time exceeds the target time after the air conditioner is started, calculating the indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer ring temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the temperature of the inner tube, T Outer ring temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.
Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed coupling or direct coupling or communication connection between each other may be an indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or in other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. An air conditioner, comprising:
the time control module is used for generating a data acquisition instruction in the running process of the air conditioner and sending the data acquisition instruction to the data acquisition module, wherein the data acquisition instruction is used for indicating the data acquisition module to acquire temperature data;
the data acquisition module is configured to acquire the temperature data according to the data acquisition instruction, where the temperature data includes: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and the indoor temperature calculation module is used for calculating the indoor temperature of the air conditioner according to the temperature data.
2. The air conditioner according to claim 1, wherein the indoor temperature calculating module comprises:
an indoor temperature prediction model for calculating an indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer loop temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the temperature of the inner tube, T Outer loop temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
3. The air conditioner of claim 2, wherein the data collection instructions comprise first instructions and second instructions, wherein:
when the accumulated running time does not exceed the target time after the air conditioner is started, the time control module generates the first instruction, wherein the first instruction is used for instructing the data acquisition module to acquire the temperature data according to a first time interval;
and when the accumulated running time exceeds the target time after the air conditioner is started, the time control module generates the second instruction, wherein the second instruction is used for instructing the data acquisition module to acquire the temperature data according to a second time interval.
4. The air conditioner according to claim 3,
when the data acquisition module executes the first instruction, the indoor temperature calculation module determines the acquired temperature of the thermal bulb as the indoor temperature of the air conditioner;
and when the data acquisition module executes the second instruction, the indoor temperature calculation module substitutes the acquired temperature data into the indoor temperature prediction model to calculate the indoor temperature of the air conditioner.
5. An indoor temperature prediction method of an air conditioner is characterized by comprising the following steps:
generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: the air conditioner comprises a temperature sensing bulb, a set temperature, an inner pipe temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is the temperature sensing bulb temperature collected by an inner pipe room temperature sensor in the running process of the air conditioner, the set temperature is the running target temperature of the air conditioner set by a user, the inner pipe temperature is the evaporator inner pipe temperature collected by an inner pipe temperature sensing bulb of an inner pipe of an inner evaporator in the running process of the air conditioner, and the outer ring temperature is the outer ring temperature collected by an outer ring temperature sensing bulb in the running process of the air conditioner;
and calculating the indoor temperature of the air conditioner according to the temperature data.
6. The method for predicting the temperature in the air conditioner according to claim 5, wherein the data acquisition command comprises a first command and a second command, and wherein the generating the data acquisition command in the operation process of the air conditioner comprises:
generating the first instruction when the accumulated running time does not exceed the target time after the air conditioner is started, wherein the first instruction is used for indicating to collect the temperature data according to a first time interval;
and generating the second instruction when the accumulated running time exceeds the target time after the air conditioner is started, wherein the second instruction is used for indicating that the temperature data are collected according to a second time interval.
7. The method of claim 6, wherein the calculating the indoor temperature of the air conditioner according to the temperature data comprises:
when the accumulated running time does not exceed the target time after the air conditioner is started, determining the collected temperature of the thermal bulb as the indoor temperature of the air conditioner;
when the accumulated running time exceeds the target time after the air conditioner is started, calculating the indoor temperature of the air conditioner according to the following formula:
T at room temperature ＝αT Temperature sensing bag +βT Set temperature +γT Temperature of inner pipe +δT Outer ring temperature +ε
Wherein, T At room temperature Is the room temperature, T, of the air conditioner Temperature sensing bag Is the temperature of the bulb, T Set temperature For the set temperature, T Temperature of inner pipe Is the inner tube temperature, T Outer ring temperature And the equation correction coefficients are the outer ring temperature, alpha, beta, gamma, delta and epsilon and the indoor temperature prediction model.
8. An indoor temperature prediction apparatus for an air conditioner, comprising:
the generating unit is used for generating a data acquisition instruction in the running process of the air conditioner, wherein the data acquisition instruction is used for indicating the acquisition of temperature data;
the acquisition unit is used for acquiring the temperature data according to the data acquisition instruction, wherein the temperature data comprises: the temperature control system comprises a temperature sensing bulb temperature, a set temperature, an inner tube temperature and an outer ring temperature, wherein the temperature sensing bulb temperature is acquired by an inner machine room temperature sensor in the operation process of the air conditioner, the set temperature is the target temperature of the operation of the air conditioner set by a user, the inner tube temperature is the temperature of an inner tube of an evaporator of an inner machine evaporator in the operation process of the air conditioner, and the outer ring temperature is the outer ring temperature acquired by an outer ring temperature sensing bulb of the outer machine evaporator in the operation process of the air conditioner;
and the calculating unit is used for calculating the indoor temperature of the air conditioner according to the temperature data.
9. A storage medium comprising a stored program, wherein the program is operable to perform the method of predicting the temperature in an air conditioner according to any one of claims 5 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the method for predicting the temperature in an air conditioner according to any one of claims 5 to 7 by using the computer program.
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