CN111023400B - Air conditioner outdoor environment temperature prediction method and device and air conditioner - Google Patents
Air conditioner outdoor environment temperature prediction method and device and air conditioner Download PDFInfo
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- CN111023400B CN111023400B CN201911404953.3A CN201911404953A CN111023400B CN 111023400 B CN111023400 B CN 111023400B CN 201911404953 A CN201911404953 A CN 201911404953A CN 111023400 B CN111023400 B CN 111023400B
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/87—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units
- F24F11/871—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling absorption or discharge of heat in outdoor units by controlling outdoor fans
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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
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
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Abstract
The invention provides an air conditioner outdoor environment temperature prediction method and device and an air conditioner, and relates to the technical field of air conditioners. The method for predicting the outdoor environment temperature of the air conditioner comprises the following steps: and acquiring a temperature peak value, a temperature valley value, time corresponding to the temperature peak value and time corresponding to the temperature valley value of each target day in a plurality of continuous target days. And obtaining a first time corresponding to the highest temperature and a second time corresponding to the lowest temperature in each target day according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks and the time corresponding to the plurality of temperature valleys, thereby obtaining the plurality of first times and the plurality of second times in the plurality of target days. Predicting a highest temperature predicted time and a lowest temperature predicted time in a first day after the plurality of target days according to the plurality of first times and the plurality of second times. The air conditioner outdoor environment temperature prediction method and device and the air conditioner can accurately predict the outdoor environment temperature and ensure the stable operation of the air conditioner.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioner outdoor environment temperature prediction method and device and an air conditioner.
Background
At present, a control method of an air conditioner is a key technology of air conditioner research and is also an important way for realizing automation and intelligence of the air conditioner. The core part of the air conditioner is an external unit of the air conditioner, and the external unit can not be controlled to monitor the ambient temperature. The current control method can only monitor the real-time temperature, and if prediction is carried out, prediction is carried out only according to the highest corresponding time of the temperature and the lowest corresponding time of the temperature of historical data. However, if severe working conditions such as rainy weather occur in the prediction process, the prediction is seriously inaccurate, and the automatic control process of the air conditioner is influenced.
Therefore, a reasonable method for predicting the outdoor environment temperature of the air conditioner is needed to solve the above problems, and achieve precise control and automatic control.
Disclosure of Invention
The invention solves the problem of how to provide a method for accurately predicting outdoor environment temperature.
In order to solve the above problems, the present invention provides a method for predicting an outdoor environment temperature of an air conditioner, including:
the method comprises the steps of obtaining a temperature peak value, a temperature valley value, time corresponding to the temperature peak value and time corresponding to the temperature valley value of each target day in a plurality of continuous target days, and obtaining a plurality of temperature peak values, a plurality of temperature valley values, time corresponding to the temperature peak values and time corresponding to the temperature valley values.
And obtaining a first time corresponding to the highest temperature and a second time corresponding to the lowest temperature in each target day according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks and the time corresponding to the plurality of temperature valleys, so as to obtain the plurality of first times and the plurality of second times in the plurality of target days.
Predicting a highest temperature predicted time and a lowest temperature predicted time in a first day after the target days in accordance with the first times and the second times.
The air conditioner outdoor environment temperature prediction method provided by the invention can predict the highest temperature and the lowest temperature time of the first day after a plurality of target days according to a plurality of temperature peaks, a plurality of temperature valleys, the time corresponding to the plurality of temperature peaks and the time corresponding to the plurality of temperature valleys in the plurality of target days, can improve the accurate prediction of the outdoor environment temperature of the first day after a plurality of target days, and further can ensure the operation stability of the air conditioner.
Optionally, the step of obtaining a first time corresponding to a highest temperature and a second time corresponding to a lowest temperature in each of the target days according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks, and the time corresponding to the plurality of temperature valleys, so as to obtain the plurality of first times and the plurality of second times for the plurality of target days includes:
and judging whether the target day is a severe working condition or not according to the temperature peak value and the temperature valley value in each target day.
If not, respectively taking the time corresponding to the temperature peak value and the time corresponding to the temperature valley value in the target day as the first time and the second time in the target day.
If so, acquiring the first time and the second time of the target day according to the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value, the time corresponding to the temperature valley value and the first time and the second time of the previous target day.
Obtaining a plurality of the first times and a plurality of the second times for a plurality of the target days.
Whether the target day is a severe working condition or not can be judged through the temperature peak value and the temperature valley value, the first time corresponding to the highest temperature and the second time corresponding to the lowest temperature are carried out on the target day of the severe working condition to be corrected, the influence of the severe working condition on the prediction of the first day after a plurality of target days can be avoided, and the accuracy of outdoor environment temperature prediction on the first day after the plurality of target days can be further improved.
Optionally, the step of determining whether the target day is a bad condition according to the temperature peak and the temperature valley in each target day includes:
and judging whether the number of the temperature peaks or the number of the temperature valleys in the target day is more than 1.
If yes, the target day is in a bad working condition.
If not, the target day is not in a severe working condition.
The temperature fluctuation condition in the target day can be judged whether to be serious or not by judging the number of the temperature peak values and the number of the temperature valley values in the target day, when the temperature fluctuation condition in the target day is serious, the condition of a plurality of temperature peak values or a plurality of temperature valley values can be embodied, and then the severe working conditions can be distinguished, so that the correction of the first time and the second time in the target day in the severe working conditions is facilitated, and the accuracy of outdoor environment temperature prediction is improved.
Optionally, when the target day is a bad condition, the temperature peaks in the target day include a first temperature peak and a second temperature peak, and the temperature valleys include a first temperature valley and a second temperature valley.
The step of obtaining the first time and the second time of the target day according to the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value, the time corresponding to the temperature valley value, and the first time and the second time of the previous target day includes:
and judging whether the difference between the first temperature peak value and the second temperature peak value is smaller than a first preset temperature value.
If so, the first time in the previous target day is the first time of the target day, and the time corresponding to the smaller value of the first temperature valley value and the second temperature valley value is the second time of the target day.
If not, acquiring the second time of the target day according to the first temperature valley, the second temperature valley, the time corresponding to the first temperature valley, the time corresponding to the second temperature valley and the second time of the previous target day, and taking the time corresponding to the larger value of the first temperature peak and the second temperature peak as the first time of the target day.
When the target day is a severe working condition, a first temperature peak value and a second temperature peak value can appear in the target day, and when a difference value between the first temperature peak value and the second temperature peak value is smaller than a first preset temperature value, the fact that the temperature in the target day is shifted to a large extent at the moment corresponding to the highest temperature is indicated, further detection and acquisition of the time corresponding to the highest temperature in the target day are influenced, further the first time corresponding to the highest temperature in the previous target day is used as the first time in the target day, errors of judgment of the time corresponding to the highest temperature under the severe working condition can be avoided, and further prediction accuracy of outdoor ambient temperature is improved. If the difference value between the first temperature peak value and the second temperature peak value is larger than the first preset temperature value, the difference between the time with larger temperature fluctuation in the target day and the time corresponding to the highest temperature value in the target day is far, and the judgment of the time corresponding to the highest temperature is not influenced.
Optionally, the step of obtaining the second time of the target day according to the first temperature valley, the second temperature valley, the time corresponding to the first temperature valley, the time corresponding to the second temperature valley, and the second time of the previous target day includes:
and judging whether the difference between the first temperature valley value and the second temperature valley value is smaller than a second preset temperature value.
If yes, the second time of the previous target day is the second time of the target day.
If not, the time corresponding to the smaller value of the first temperature valley value and the second temperature valley value is taken as the second time of the target day.
When the target day is a severe working condition and the difference between the first temperature valley and the second temperature valley is smaller than a second preset temperature value, the fact that temperature fluctuation of a large degree occurs at the moment corresponding to the lowest temperature in the target day is indicated, detection and acquisition of the time corresponding to the lowest temperature in the target day are influenced, the second time corresponding to the lowest temperature in the previous target day is used as the second time in the target day, errors of judgment of the severe working condition on the time corresponding to the lowest temperature can be avoided, and prediction accuracy of outdoor ambient temperature is improved. If the difference between the first temperature valley and the second temperature valley is larger than the second preset temperature value, the difference between the time with larger temperature fluctuation in the target day and the time corresponding to the lowest temperature value in the target day is far, and the judgment of the time corresponding to the lowest temperature is not influenced.
Optionally, the step of predicting a highest temperature predicted time and a lowest temperature predicted time in a first day after a plurality of the target days according to a plurality of the first times and a plurality of the second times comprises:
and calculating a first interval time according to two first times of two continuous target days in the plurality of target days, and obtaining a plurality of first interval times.
And calculating a second interval time according to two second times of two continuous target days in the plurality of target days, and obtaining a plurality of second interval times.
Predicting the predicted highest temperature time in a first day after the target days according to the first time of the last target day in the target days and the first interval times.
Predicting the predicted lowest temperature time in a first day after the target days according to a second time of a last target day of the target days and the second interval times.
Optionally, said predicting said predicted highest temperature time in a first day after a plurality of said target days from said first time of a last one of said target days and a plurality of said first interval times comprises;
calculating a first average interval time according to a plurality of first interval times;
predicting a time in a first day after a plurality of the target days, which is a distance from the first time of the last target day to the first average interval time, as the predicted highest temperature time;
the step of predicting the predicted lowest temperature time in a first day after a plurality of the target days in accordance with a second time of a last one of the plurality of the target days and a plurality of the second interval times comprises:
calculating a second average interval time according to a plurality of second interval times;
predicting a time in a first day after the plurality of target days, which is distant from the second average interval time by the second time of the last target day, as the predicted lowest temperature time.
By calculating the first average interval time of the first time corresponding to the highest temperature in the multiple target days, the time corresponding to the highest temperature in the first day after the multiple target days can be predicted according to the first time corresponding to the last target day, and the predicted highest temperature moment can be accurately predicted. Similarly, by calculating the second average interval time of the second time corresponding to the lowest temperature in the multiple target days, the time corresponding to the lowest temperature of the first day after the multiple target days can be predicted according to the second time corresponding to the last target day, and the predicted lowest temperature time can be accurately predicted.
Optionally, the step of obtaining a temperature peak, a temperature valley, a time corresponding to the temperature peak, and a time corresponding to the temperature valley for each of a plurality of consecutive target days to obtain a plurality of temperature peaks, a plurality of temperature valleys, a time corresponding to the plurality of temperature peaks, and a time corresponding to the plurality of temperature valleys includes:
and acquiring the outer ring temperature every preset time in each of a plurality of continuous target days, and acquiring a plurality of outer ring temperatures.
And forming a change curve according to the plurality of outer ring temperatures and the time corresponding to the plurality of outer ring temperatures.
And taking the outer ring temperature corresponding to the peak of the change curve as the temperature peak, taking the time corresponding to the peak as the time corresponding to the temperature peak, taking the outer ring temperature corresponding to the trough of the change curve as the temperature valley, and taking the time corresponding to the trough as the time corresponding to the temperature valley.
Wherein, can be through the outer loop temperature who obtains a plurality of time points in every target day, and then form the change curve of the outer loop temperature in this target day jointly through a plurality of outer loop temperatures, be convenient for obtain a plurality of temperature peak values and a plurality of temperature valley from the change curve, be convenient for simultaneously obtain the time that a plurality of temperature peak values correspond and the time that a plurality of temperature valley values correspond, and then be convenient for acquireing of very first time and second time, can improve and provide efficient preparation effect to the prediction of outer loop temperature, and then can improve efficiency and the precision of prediction.
An outdoor ambient temperature prediction apparatus of an air conditioner, comprising:
the first acquisition module is used for acquiring a temperature peak value, a temperature valley value, time corresponding to the temperature peak value and time corresponding to the temperature valley value of each target day in a plurality of continuous target days to obtain a plurality of temperature peak values, a plurality of temperature valley values, time corresponding to the temperature peak values and time corresponding to the temperature valley values.
A second obtaining module, configured to obtain, according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks, and the time corresponding to the plurality of temperature valleys, a first time corresponding to a highest temperature and a second time corresponding to a lowest temperature on each target day, so as to obtain the plurality of first times and the plurality of second times on the plurality of target days.
And the predicting module is used for predicting the highest temperature predicting time and the lowest temperature predicting time in the first day after the target days according to the first times and the second times.
An air conditioner includes a controller capable of executing a computer program and implementing an air conditioner outdoor ambient temperature prediction method. The method for predicting the outdoor environment temperature of the air conditioner comprises the following steps:
the method comprises the steps of obtaining a temperature peak value, a temperature valley value, time corresponding to the temperature peak value and time corresponding to the temperature valley value of each target day in a plurality of continuous target days, and obtaining a plurality of temperature peak values, a plurality of temperature valley values, time corresponding to the temperature peak values and time corresponding to the temperature valley values.
And obtaining a first time corresponding to the highest temperature and a second time corresponding to the lowest temperature in each target day according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks and the time corresponding to the plurality of temperature valleys, so as to obtain the plurality of first times and the plurality of second times in the plurality of target days.
Predicting a highest temperature predicted time and a lowest temperature predicted time in a first day after the target days in accordance with the first times and the second times.
The invention also provides an air conditioner, and the beneficial effects of the air conditioner relative to the prior art are the same as the beneficial effects of the air conditioner outdoor environment temperature prediction method relative to the prior art, and are not repeated herein.
Drawings
Fig. 1 is a flowchart of an outdoor ambient temperature prediction method of an air conditioner according to an embodiment of the present invention;
FIG. 2 is a flowchart of steps 100 of a method for predicting an outdoor ambient temperature of an air conditioner according to an embodiment of the present invention;
FIG. 3 is a flowchart of steps 200 of a method for predicting an outdoor ambient temperature of an air conditioner according to an embodiment of the present invention;
FIG. 4 is a flowchart of the method step 210 for predicting the outdoor ambient temperature of the air conditioner according to the embodiment of the present invention;
FIG. 5 is a flowchart of the method step 230 for predicting the outdoor ambient temperature of the air conditioner according to the embodiment of the present invention;
FIG. 6 is a flowchart of the method for predicting the outdoor ambient temperature 233 of the air conditioner according to the embodiment of the present invention;
FIG. 7 is a flowchart of steps 300 of a method for predicting an outdoor ambient temperature of an air conditioner according to an embodiment of the present invention;
FIG. 8 is a flowchart of the method step 330 for predicting the outdoor ambient temperature of the air conditioner according to the embodiment of the present invention;
FIG. 9 is a flowchart of the method step 340 for predicting the outdoor ambient temperature of the air conditioner according to the embodiment of the present invention;
fig. 10 is a schematic functional block diagram of an outdoor ambient temperature prediction apparatus of an air conditioner according to an embodiment of the present invention.
Description of reference numerals:
10-a first acquisition module; 20-a second acquisition module; 30-prediction module.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
The embodiment provides an air conditioner, and the air conditioner can predict the outdoor environment temperature, can also improve the accuracy of predicting the outdoor environment temperature, and improves the reliability of the operation of the air conditioner. The air conditioner comprises a controller, and the controller can be used for executing an air conditioner outdoor environment temperature prediction method so as to predict the outdoor environment temperature.
The air conditioner can further comprise a timer, the timer is used for timing, and the timer is electrically connected with the controller so as to send a time signal to the controller through the timer, and further the controller can operate according to a specified time rule.
The controller may be an integrated circuit chip having signal processing capabilities. The controller may be a general-purpose processor, and may include a Central Processing Unit (CPU), a single chip Microcomputer (MCU), a Micro Controller Unit (MCU), a Complex Programmable Logic Device (CPLD), a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an embedded ARM, and other chips, where the controller may implement or execute the methods, steps, and Logic blocks disclosed in the embodiments of the present invention.
In a possible implementation manner, the air conditioner may further include a memory for storing program instructions executable by the controller, for example, the air conditioner control device provided in the embodiment of the present application, where the air conditioner control device provided in the embodiment of the present application includes at least one of the program instructions stored in the memory in the form of software or firmware. The Memory may be a stand-alone external Memory including, but not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Read-Only Memory (EPROM), electrically Erasable Read-Only Memory (EEPROM). The memory may also be integrated with the controller, for example, the memory may be integrated with the controller on the same chip.
Based on the air conditioner, referring to fig. 1, the method for predicting the outdoor ambient temperature of the air conditioner provided in the embodiment includes:
and step 001, starting the air conditioner.
After the air conditioner is started, the timer and the controller start to operate, and the timer starts to count time and sends a time signal to the controller.
The plurality of target days are used for providing data basis for predicting the outdoor environment temperature of a certain next day, wherein the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value and the time corresponding to the temperature valley value of each target day in the plurality of target days can be data collected in the first three days of operation after starting up, and can also be data manually input. The controller can be caused to obtain a plurality of temperature peaks, a plurality of temperature valleys, a time corresponding to the plurality of temperature peaks, and a time corresponding to the plurality of temperature valleys over a plurality of target days. Wherein, each target day can have one temperature peak or a plurality of temperature peaks; similarly, there may be one temperature valley or multiple temperature valleys per target day.
Please refer to fig. 2, in the present embodiment, step 100 includes:
and step 110, acquiring the outer ring temperature every preset time in each target day of a plurality of continuous target days, and acquiring a plurality of outer ring temperatures.
In this embodiment, after the air conditioner is turned on, the timer can send a time signal to the controller at every preset time, and the controller obtains the outdoor ambient temperature once and obtains a plurality of outdoor ambient temperatures in the target day. It should be understood that in other embodiments, the controller may also control the time for obtaining the outdoor ambient temperature. In this embodiment, the air conditioner may further include a temperature sensor for detecting an outdoor ambient temperature, and then may transmit the detected outdoor ambient temperature to the controller at every preset time.
Further, in this embodiment, the preset time is set to 20min, so that the controller can obtain an outdoor ambient temperature every 20 min. It should be understood that in other embodiments, the setting duration of the preset time may be set to other values, such as 30min, 10min, etc.
After the target day acquires the plurality of indoor environment temperatures, an outdoor environment temperature conversion curve of the target day can be formed through the plurality of indoor environment temperatures, and the conversion curve represents the approximate change situation of the outdoor environment temperature in the target day. It should be noted that, in this embodiment, if the target day is a normal operating condition, the variation curve is in a waveform pattern, and there is one peak and one valley in the target day. When the target day is in a severe working condition, temperature fluctuation occurs on the change curve, for example, when rainy weather occurs in the target day, the outdoor ambient temperature can obviously decrease, and then two wave crests and two wave troughs occur in the change curve.
The temperature peak and the temperature valley in the target day, and the time corresponding to the temperature peak and the time corresponding to the temperature valley can be selected from the plurality of outdoor loop temperatures by step 130.
It should be noted that, in other target days, the multiple temperature peaks, the multiple temperature valleys, the time corresponding to the multiple temperature peaks, and the time corresponding to the multiple temperature valleys in other target days are obtained in the same step, and details are not repeated here.
Referring to fig. 1, in step 200, a first time corresponding to the highest temperature and a second time corresponding to the lowest temperature in each target day are obtained according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks, and the time corresponding to the plurality of temperature valleys, so as to obtain a plurality of first times and a plurality of second times in the plurality of target days.
After the controller obtains the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks and the time corresponding to the plurality of temperature valleys, the controller can obtain a plurality of first times corresponding to the highest temperature and a plurality of second times corresponding to the lowest temperature in a plurality of target days according to the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks and the time corresponding to the plurality of temperature valleys.
In this embodiment, a first time and a second time in one of the target days are obtained as an example.
Referring to fig. 3, step 200 includes:
and step 210, judging whether the target day is a severe working condition or not according to the temperature peak value and the temperature valley value in each target day.
Referring to fig. 4, step 210 includes:
and step 211, judging whether the number of temperature peak values or the number of temperature valley values in the target day is greater than 1.
That is, when this target day is abominable operating mode, a plurality of outdoor ambient temperatures in this target day can appear fluctuation many times, and then appear a plurality of crests and a plurality of trough in the change curve, just can judge whether this target day is abominable operating mode through the quantity of crest and trough.
And 212, if so, determining that the target day is in a severe working condition.
And step 213, if not, determining that the target day is not in a severe working condition.
Referring to fig. 3, if not, the time corresponding to the peak temperature value and the time corresponding to the valley temperature value in the target day are taken as the first time and the second time in the target day, respectively, in step 220.
When the target day is not in a severe working condition, the change curve of the outdoor environment temperature of the target day only has one wave crest and one wave trough, the temperature peak value corresponding to the wave crest is the highest temperature in the target day, and the time corresponding to the temperature peak value is the first time of the target day; similarly, the temperature valley corresponding to the trough is the lowest temperature in the target day, and the time corresponding to the temperature valley is the second time of the target day.
And step 230, if yes, acquiring the first time and the second time of the target day according to the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value, the time corresponding to the temperature valley value and the first time and the second time of the previous target day.
When the target day is a bad working condition, the maximum temperature and the minimum temperature of the target day are determined to be affected due to large fluctuation of the outdoor ambient temperature, and the time corresponding to the maximum temperature and the time corresponding to the minimum temperature are affected, so that the first time and the second time of the target day need to be obtained according to the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value, the time corresponding to the temperature valley value and the first time and the second time in the previous target day.
In this embodiment, when the target day is a severe operating condition, the target day has two peaks and two troughs, that is, the temperature peak of the target day includes a first temperature peak and a second temperature peak, and similarly, the temperature valley of the target day includes a first temperature valley and a second temperature valley.
Referring to fig. 5, step 230 includes:
and 231, judging whether the difference between the first temperature peak value and the second temperature peak value is smaller than a first preset temperature value.
Wherein, when normal operating mode, the change curve of outdoor ambient temperature changes according to certain rule to form a crest and a trough, and this crest and this trough are located the special period in this target day usually, for example the crest generally takes place in a period of time after noon, and the trough generally takes place in early morning, when the situation such as raining appears in noon, just can make the curve that outdoor ambient temperature corresponds of this department reduce this moment, just can cause the influence to the time judgement of the highest temperature. Therefore, whether the transmitted temperature fluctuation influences the judgment of the highest temperature can be judged by judging whether the difference value of the outdoor environment temperature represented by the first temperature peak value and the second temperature peak value is larger than the first preset temperature value.
It should be noted that, in the present embodiment, the first preset temperature value is set to 5 ℃, and it should be understood that, in other embodiments, the first preset temperature value may also be set to other values, for example, 4 ℃, 6 ℃, or 3 ℃.
When the difference value between the first temperature peak value and the second temperature peak value is smaller than a first preset temperature value, the temperature fluctuation indicating the severe working condition of the target day occurs at the time corresponding to the maximum temperature of the target day, so that the judgment of the first time corresponding to the maximum temperature of the target day is influenced, and the first time in the target day before the target day is taken as the first time of the target day, so that the generated error is reduced.
In addition, since the temperature fluctuation of the target day occurs at the time corresponding to the highest temperature, the second time corresponding to the lowest temperature is not affected, and therefore, the time corresponding to the smaller of the first temperature bottom value and the second temperature bottom value may be used as the second time of the target day.
When the difference between the first temperature peak value and the second temperature peak value is greater than the first preset temperature value, the fact that the temperature fluctuation of the target day does not occur in the time corresponding to the highest temperature is indicated at this time, and the first time corresponding to the highest temperature is determined to be shadowless, so that the time corresponding to the larger value of the first temperature peak value and the second temperature peak value is taken as the first time of the target day. However, the temperature fluctuation may also occur at a time when the lowest temperature should correspond. In view of fig. 6, step 233 includes:
The principle of step 2331 is the same as that of step 231, and is not described in detail here.
It should be noted that the value of the second preset temperature value is 5 ℃, and it should be understood that in other embodiments, the value of the second preset temperature value may also be other values, for example, 4 ℃, 6 ℃, or 3 ℃.
The second time of the target day can be accurately obtained through steps 2331-2333.
Wherein, after the accurate determination of the first time and the second time in one of the target days, repeating steps 210-230 can accurately determine a plurality of first times and a plurality of second times in a plurality of target days. The acquisition of the first times and the second times of the target days is completed.
And step 300, predicting the highest temperature prediction time and the lowest temperature prediction time in the first day after the target days according to the first times and the second times.
After acquiring the plurality of first times and the plurality of second times of the plurality of target days, the predicted maximum temperature time and the predicted minimum temperature time in the first day after the plurality of target days can be predicted through the plurality of first times and the plurality of second times of the plurality of target days.
Referring to fig. 7, step 300 includes:
Wherein, the first time of two consecutive target days can be subtracted to obtain the first interval time of the highest temperature of one pair of two adjacent target days. A plurality of first interval times in a plurality of pairs of two adjacent target days in the plurality of target days are further calculated.
And step 320, calculating a second interval time according to two second times of two continuous target days in the plurality of target days, and obtaining a plurality of second interval times.
Similarly, the second time intervals of the lowest temperature in two consecutive target days can be obtained by subtracting the second time intervals of two consecutive target days. A plurality of second interval times in a plurality of pairs of two adjacent target days in the plurality of target days are further calculated.
It should be noted that, there is no specific sequence between step 320 and step 310, and the steps may also be performed simultaneously.
And step 330, predicting the highest temperature predicting time in the first day after the target days according to the first time of the last target day in the target days and the first interval times.
Optionally, referring to fig. 8, step 330 includes:
The first average interval time is calculated by adding a plurality of first interval times and dividing by the number of the first interval times to obtain the first average interval time.
And step 332, predicting the time which is separated from the first time of the last target day in the plurality of target days by the first average interval time to be the predicted highest temperature time.
The first average interval time may be used as an interval between the predicted highest temperature time of the first day after the plurality of target days and the first time of the last target day of the plurality of target days, and then the predicted highest temperature time after the plurality of target days is obtained by shifting the first average interval time backward on the basis of the first time of the last target day.
And step 340, predicting the predicted lowest temperature time in the first day after the target days according to the second time of the last target day in the target days and the second interval times.
Optionally, referring to fig. 9, step 340 includes:
The second average interval time is calculated by adding a plurality of second interval times and dividing by the number of the second interval times to obtain the second average interval time.
And step 342, predicting a time which is a second average interval time from the second time of the last target day in the plurality of target days as the predicted lowest temperature time.
The second average interval time may be used as an interval between the predicted lowest temperature time on the first day after the target days and the second time on the last target day of the target days, and then the predicted lowest temperature time after the target days is obtained by shifting the second average interval time backward on the basis of the second time on the last target day.
In summary, the air conditioner and the method for predicting the outdoor ambient temperature of the air conditioner provided in this embodiment can predict the highest temperature and the lowest temperature of the first day after a plurality of target days according to a plurality of temperature peaks, a plurality of temperature valleys, the time corresponding to the plurality of temperature peaks, and the time corresponding to the plurality of temperature valleys in the plurality of target days, so as to improve the accurate prediction of the outdoor ambient temperature of the first day after a plurality of target days, and further ensure the operation stability of the air conditioner. And whether the target day is a bad working condition can be judged through the temperature peak value and the temperature valley value, the first time corresponding to the highest temperature and the second time corresponding to the lowest temperature are corrected aiming at the target day of the bad working condition, the influence of the bad working condition on the prediction of the first day after a plurality of target days can be avoided, and the accuracy of outdoor environment temperature prediction of the first day after the plurality of target days can be further improved.
Referring to fig. 10, in order to execute possible steps of the method for predicting the outdoor ambient temperature of the air conditioner according to the embodiment, fig. 10 is a schematic diagram illustrating functional modules of an apparatus for predicting the outdoor ambient temperature of the air conditioner according to the embodiment of the present application. The air conditioner outdoor environment temperature prediction device is applied to an air conditioner, and the air conditioner outdoor environment temperature prediction device provided by the embodiment of the application is used for executing the air conditioner outdoor environment temperature prediction method. It should be noted that the basic principle and the generated technical effect of the outdoor air-conditioning environment temperature predicting device provided by the embodiment are substantially the same as those of the embodiment, and for the sake of brief description, no part of the embodiment is mentioned, and reference may be made to the corresponding contents in the embodiment.
The air conditioner outdoor environment temperature prediction device comprises a first obtaining module 10, a second obtaining module 20 and a prediction module 30.
The first obtaining module 10 is configured to obtain a temperature peak value, a temperature valley value, a time corresponding to the temperature peak value, and a time corresponding to the temperature valley value of each of a plurality of consecutive target days, and obtain a plurality of temperature peak values, a plurality of temperature valley values, a time corresponding to the plurality of temperature peak values, and a time corresponding to the plurality of temperature valley values.
Optionally, the first obtaining module 10 may be specifically configured to execute the step 100 in each of the above-mentioned figures, so as to achieve the corresponding technical effect.
The second obtaining module 20 is configured to obtain a first time corresponding to the highest temperature and a second time corresponding to the lowest temperature in each target day according to the multiple temperature peaks, the multiple temperature valleys, the time corresponding to the multiple temperature peaks, and the time corresponding to the multiple temperature valleys, so as to obtain multiple first times and multiple second times in the multiple target days.
Optionally, the second obtaining module 20 may be specifically configured to execute the step 200 in each of the above-mentioned figures, so as to achieve a corresponding technical effect.
The prediction module 30 is configured to predict a predicted maximum temperature time and a predicted minimum temperature time in a first day after the plurality of target days according to the plurality of first times and the plurality of second times.
Optionally, the prediction module 30 may be specifically configured to execute the step 300 in each of the above-mentioned figures, so as to achieve the corresponding technical effect.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. An outdoor air-conditioning environment temperature prediction method is characterized by comprising the following steps:
acquiring a temperature peak value, a temperature valley value, time corresponding to the temperature peak value and time corresponding to the temperature valley value of each target day in a plurality of continuous target days to obtain a plurality of temperature peak values, a plurality of temperature valley values, time corresponding to the temperature peak values and time corresponding to the temperature valley values;
judging whether the target day is a severe working condition or not according to the temperature peak value and the temperature valley value in each target day;
if not, respectively taking the time corresponding to the temperature peak value and the time corresponding to the temperature valley value in the target day as the first time and the second time in the target day;
if so, acquiring the first time and the second time of the target day according to the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value, the time corresponding to the temperature valley value and the first time and the second time of the previous target day;
obtaining a plurality of said first times and a plurality of said second times for a plurality of said target days;
predicting a highest temperature predicted time and a lowest temperature predicted time in a first day after the target days in accordance with the first times and the second times.
2. The method as claimed in claim 1, wherein the step of determining whether the target day is a bad condition according to the temperature peak and the temperature valley in each target day comprises:
judging whether the number of the temperature peak values or the number of the temperature valley values in the target day is more than 1;
if so, the target day is in a severe working condition;
if not, the target day is not in a severe working condition.
3. The outdoor environment temperature prediction method of an air conditioner according to claim 1, characterized in that when the target day is a bad condition, the temperature peaks in the target day include a first temperature peak and a second temperature peak, and the temperature valleys include a first temperature valley and a second temperature valley;
the step of obtaining the first time and the second time of the target day according to the temperature peak value, the temperature valley value, the time corresponding to the temperature peak value, the time corresponding to the temperature valley value, and the first time and the second time of the previous target day includes:
judging whether the difference between the first temperature peak value and the second temperature peak value is smaller than a first preset temperature value or not;
if so, taking the first time in the previous target day as the first time of the target day, and taking the time corresponding to the smaller value of the first temperature valley value and the second temperature valley value as the second time of the target day;
if not, acquiring the second time of the target day according to the first temperature valley, the second temperature valley, the time corresponding to the first temperature valley, the time corresponding to the second temperature valley and the second time of the previous target day, and taking the time corresponding to the larger value of the first temperature peak and the second temperature peak as the first time of the target day.
4. The method as claimed in claim 3, wherein the step of obtaining the second time of the target day according to the first temperature valley, the second temperature valley, the time corresponding to the first temperature valley, the time corresponding to the second temperature valley and the second time of the previous target day comprises:
judging whether the difference between the first temperature valley value and the second temperature valley value is smaller than a second preset temperature value or not;
if yes, the second time of the previous target day is the second time of the target day;
if not, the time corresponding to the smaller value of the first temperature valley value and the second temperature valley value is taken as the second time of the target day.
5. An outdoor air-conditioning environment temperature prediction method according to claim 1, wherein said step of predicting a highest temperature prediction time and a lowest temperature prediction time in a first day after a plurality of said target days from a plurality of said first times and a plurality of said second times comprises:
calculating a first interval time according to two first times of two continuous target days in the plurality of target days, and obtaining a plurality of first interval times;
calculating a second interval time according to two second times of two continuous target days in the plurality of target days, and obtaining a plurality of second interval times;
predicting the predicted highest temperature time in a first day after a plurality of the target days according to the first time of the last target day in the plurality of the target days and a plurality of the first interval times; predicting the predicted lowest temperature time in a first day after the target days according to a second time of a last target day of the target days and the second interval times.
6. The outdoor air conditioner environment temperature predicting method as set forth in claim 5, wherein said predicting said predicted highest temperature time in a first day after a plurality of said target days from said first time of a last one of said target days and a plurality of said first interval times comprises;
calculating a first average interval time according to a plurality of first interval times;
predicting a time in a first day after a plurality of the target days, which is a distance from the first time of the last target day to the first average interval time, as the predicted highest temperature time;
the step of predicting the predicted lowest temperature time in a first day after a plurality of the target days in accordance with a second time of a last one of the plurality of the target days and a plurality of the second interval times comprises:
calculating a second average interval time according to a plurality of second interval times;
predicting a time in a first day after the plurality of target days, which is distant from the second average interval time by the second time of the last target day, as the predicted lowest temperature time.
7. The outdoor air conditioner environment temperature prediction method according to claim 1, wherein the step of obtaining a temperature peak value, a temperature valley value, a time corresponding to the temperature peak value and a time corresponding to the temperature valley value of each of a plurality of consecutive target days to obtain a plurality of temperature peak values, a plurality of temperature valley values, a time corresponding to a plurality of temperature peak values and a time corresponding to a plurality of temperature valley values comprises:
acquiring outer ring temperatures every preset time in each of a plurality of continuous target days, and acquiring a plurality of outer ring temperatures;
forming a change curve according to a plurality of outer ring temperatures and time corresponding to the outer ring temperatures;
and taking the outer ring temperature corresponding to the peak of the change curve as the temperature peak, taking the time corresponding to the peak as the time corresponding to the temperature peak, taking the outer ring temperature corresponding to the trough of the change curve as the temperature valley, and taking the time corresponding to the trough as the time corresponding to the temperature valley.
8. An outdoor ambient temperature prediction device for an air conditioner, comprising:
a first obtaining module, configured to obtain a temperature peak, a temperature valley, a time corresponding to the temperature peak, and a time corresponding to the temperature valley for each of a plurality of consecutive target days, so as to obtain a plurality of temperature peaks, a plurality of temperature valleys, a time corresponding to the temperature peaks, and a time corresponding to the temperature valleys;
a second obtaining module, configured to obtain, according to a condition that the plurality of temperature peaks, the plurality of temperature valleys, the time corresponding to the plurality of temperature peaks, the time corresponding to the plurality of temperature valleys, and the plurality of target days are in a severe working condition, a first time corresponding to a highest temperature and a second time corresponding to a lowest temperature in each target day, so as to obtain the plurality of first times and the plurality of second times in the plurality of target days;
and the predicting module is used for predicting the highest temperature predicting time and the lowest temperature predicting time in the first day after the target days according to the first times and the second times.
9. An air conditioner comprising a controller capable of executing a computer program and implementing the air conditioner outdoor environment temperature prediction method according to any one of claims 1 to 7.
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| US8836518B2 (en) * | 2011-07-06 | 2014-09-16 | Earth Networks, Inc. | Predicting the potential for severe weather |
| JP6405210B2 (en) * | 2014-12-02 | 2018-10-17 | 株式会社日立製作所 | Weather correction device, air conditioning management system, and weather correction method |
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| CN106705381B (en) * | 2017-01-19 | 2019-07-23 | 青岛海尔空调器有限总公司 | Energy consumption prediction technique and prediction meanss based on air-conditioning |
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