Disclosure of Invention
In order to solve the above problems in the prior art, that is, to solve the problem that the existing fresh air conditioner cannot autonomously complete PM2.5 concentration adjustment in a shutdown state, the present invention provides a purification control method for a fresh air conditioner, wherein the fresh air conditioner comprises a fresh air system and an air conditioning system, the fresh air system comprises a blower, the air conditioning system comprises a compressor and an indoor heat exchanger, and the control method comprises:
when the predicted time point is reached, calculating the probability score of starting the fresh air conditioner at the next early starting moment of the fresh air conditioner based on a pre-established scoring system;
detecting the PM2.5 concentration P in the room when the probability score is larger than a set threshold and the early opening time is reached1And coil temperature T of the indoor heat exchangera;
Determining the PM2.5 concentration P1And a predetermined concentration PaAnd the coil temperature TaAnd a first set temperature T1The size of (d);
when P is present1≥PaAnd Ta<T1While controlling the air blowerAt a first set rotation speed V1Operating and controlling the compressor to a first heating frequency f1Running;
the scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the fresh air conditioner and the probability score of the fresh air conditioner for starting the fresh air conditioner at the next early starting moment.
In the preferable technical scheme of the purification control method of the fresh air conditioner, the blower is controlled to rotate at a first set rotating speed V1Operating and controlling the compressor to a first heating frequency f1After the step of operating ", the control method further comprises:
interval setting time T1Then, the PM2.5 concentration P in the room is detected2;
Determine the PM2.5 concentration P in the room2And a predetermined concentration PaThe size of (d);
and controlling the running states of the fresh air system and the air conditioning system based on the judgment result.
In the preferred technical solution of the purification control method of the fresh air conditioner, the step of controlling the operation states of the fresh air system and the air conditioning system based on the judgment result further includes:
when P is present2≥PaAnd maintaining the state of the fresh air system unchanged.
In the preferred technical solution of the purification control method of the fresh air conditioner, the step of controlling the operation states of the fresh air system and the air conditioning system based on the judgment result further includes:
when P is1>P2≥PaWhen the fresh air system state is maintained unchanged, the compressor is correspondingly controlled to be at a second heating frequency f2Running;
wherein, f2>f1。
In the preferred technical solution of the purification control method of the fresh air conditioner, the step of controlling the operation states of the fresh air system and the air conditioning system based on the judgment result further includes:
when P is2≥P1≥PaWhile controlling the blower to set the second set wind speed V2Operating and controlling the compressor accordingly at a third heating frequency f3Running;
wherein, V2>V1,f3>f1。
In the preferred technical solution of the purification control method of the fresh air conditioner, the step of controlling the operation states of the fresh air system and the air conditioning system based on the judgment result further includes:
when P is present2<PaAnd controlling the air feeder to stop running.
In the preferable technical scheme of the purification control method of the fresh air conditioner, the blower is controlled to rotate at a first set rotating speed V1Operating and controlling the compressor to a first heating frequency f1Before, simultaneously with, or after the step of operating ", the control method further comprises:
detecting the PM2.5 concentration F of outdoor fresh air;
judging the PM2.5 concentration F and a preset concentration FaThe size of (d);
when F > FaAnd controlling the air feeder to stop running.
In a preferred technical solution of the purification control method of the fresh air conditioner, the control method further includes:
when F is less than or equal to FaAnd detecting whether the fresh air conditioner is in a shutdown state.
In the preferred technical solution of the purification control method of the fresh air conditioner, the step of calculating the probability score of the fresh air conditioner starting at the next advanced starting time based on the pre-established scoring system further includes:
inputting the next early opening time into a pre-trained fresh air conditioner opening probability model to obtain the historical opening probability of the fresh air conditioner for opening the fresh air conditioner at the next early opening time;
obtaining the recent opening probability based on the number of days for opening the fresh air conditioner at the next early opening time within the set number of days;
obtaining historical prediction accuracy of the next early opening moment based on the historical prediction information;
calculating a probability score of the fresh air conditioner starting at the next advanced starting moment based on the historical starting probability, the recent starting probability and the historical prediction accuracy;
the fresh air conditioner starting probability model is used for representing the corresponding relation between the historical operation information and the historical starting probability.
In a preferred technical solution of the purification control method of the fresh air conditioner, the control method further includes:
judging the activity of the fresh air conditioner based on the historical operation information of the fresh air conditioner;
when the activity of the fresh air conditioner is high, counting the operation times of the fresh air conditioner in a plurality of operation time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than set times from the plurality of operation time periods;
respectively calculating the average value of the opening time of all the fresh air conditioners in each selected operation time period as the advanced opening time of the operation time period;
and calculating the difference value of each advanced opening time and a preset time period as a predicted time point of the advanced opening time.
As can be understood by those skilled in the art, in the technical solution of the present invention, the fresh air conditioner includes a fresh air system and an air conditioning system, the fresh air system includes a blower, the air conditioning system includes a compressor and an indoor heat exchanger, and the control method includes: when the predicted time point is reached, calculating the probability score of starting the fresh air conditioner at the next early starting moment of the fresh air conditioner based on a pre-established scoring system; detecting the PM2.5 concentration P in the room when the probability score is larger than a set threshold and the early opening time is reached1And coil temperature T of indoor heat exchangeraThen, the PM2.5 concentration P is judged1And preSet the concentration PaAnd the coil temperature TaAnd a first set temperature T1When P is the size of1≥PaAnd Ta<T1Time, indicates that the PM2.5 concentration exceeds the standard and the coil temperature TaThe first set temperature T for maintaining the indoor temperature within the user's comfortable range is not reached1At this time, the PM2.5 concentration needs to be reduced and the room temperature needs to be warmed up in advance at the same time, so that the blower is controlled to have the first set rotation speed V1Operates to reduce PM2.5 concentration and controls the compressor to perform a first heating frequency f1And operates to adjust the indoor temperature back to the temperature desired by the user.
Through the arrangement mode, the purification control method of the fresh air conditioner can adjust the indoor PM2.5 concentration in advance based on the PM2.5 preset concentration, so that the indoor PM2.5 concentration is not too high, and when a user returns home, the indoor PM2.5 concentration expected by the user can be obtained. In addition, the PM2.5 concentration is reduced by starting the fresh air system, and then outdoor air largely flows into the room to suddenly change the indoor temperature, and correspondingly, the fresh air conditioner simultaneously starts the air conditioning system and controls the compressor to heat at the first heating frequency f1The operation makes indoor temperature change reduce to after operation new trend system, can the quick adjustment indoor temperature to the temperature that the user expects, avoid the temperature change that leads to owing to introduce outdoor new trend. PM2.5 concentration P in the detection chamber1And coil temperature T of the indoor heat exchangeraIn the past, a scoring system is additionally arranged, and the situation that when the probability that a user goes home recently is not high, the user still starts every day to cause energy waste is avoided.
Detailed Description
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention. And can be adjusted as needed by those skilled in the art to suit particular applications. For example, although the description refers to PM2.5 concentration F > F when fresh outdoor air is usedaIn the process, the operation stop of the air feeder is controlled as described in the example, however, other schemes can be obviously adopted in the invention, for example, if a filtering module for PM2.5 is arranged in the fresh air system, the entering speed of the fresh air only needs to be slowed, and the filtering module can fully filter the fresh air.
Example one
Referring to fig. 1 and 2, a purification control method of a fresh air conditioner according to the present invention will be described. Fig. 1 is a flowchart of a purification control method of a fresh air conditioner according to a first embodiment of the present invention, and fig. 2 is a logic diagram of the purification control method of the fresh air conditioner according to the first embodiment of the present invention.
As shown in fig. 1, in order to solve the problem that the existing fresh air conditioner cannot autonomously complete PM2.5 concentration adjustment in a shutdown state, the fresh air conditioner of the present invention includes a fresh air system and an air conditioning system, wherein the fresh air system includes a blower, and the air conditioning system includes a compressor and an indoor heat exchanger. Wherein, the forced draught blower can be the axial fan of new trend intraductal configuration of new trend system, also can be air conditioning system's indoor fan, the setting form of this forced draught blower as long as can introduce indoor with outdoor new trend when satisfying the start can. The purification control method of the fresh air conditioner comprises the following steps:
s100, detecting the concentration P of PM2.5 in a room when the fresh air conditioner is in a shutdown state1And coil temperature T of indoor heat exchangera。
For example, the concentration of PM2.5 and the coil temperature are detected by a PM2.5 concentration detection device and a temperature detection device provided in the fresh air conditioner. Detection devices are common in the art, such as thermometers, PM2.5 sensors, etc., and are various and not listed.
S200, judging the PM2.5 concentration P1And a predetermined concentration PaAnd coil temperature TaAnd a first set temperature T1The size of (d);
for PM2.5 concentration P1And coil temperature TaAnd a predetermined concentration PaAnd a first set temperature T1And judging the size of the PM2.5 to determine whether the concentration of the PM2.5 in the room exceeds the standard or not and whether the indoor temperature can meet the requirement or not. Wherein the predetermined concentration may be Pa50 micrograms per cubic meter, the set temperature may be T120 ℃. It should be noted that, when the fresh air conditioner is operated, the indoor temperature is in positive correlation with the coil temperature, i.e. the higher the coil temperature is, the higher the indoor temperature is, so the control method of the present invention controls the coil temperature TaTo control the indoor temperature. Therefore, a reasonable first set temperature value is required to be set so that the room is not overcooled under the premise that the power consumption is acceptable. For example, a first set temperature T1May be determined based on the outdoor ambient temperature.
S300, when P1≥PaAnd Ta<T1While controlling the blower to rotate at a first set speed V1Operating and controlling the compressor to a first heating frequency f1And (4) operating.
The setting mode has the advantages that: when P is present1≥PaAnd T isa<T1When the concentration of PM2.5 in the room exceeds the standard,in cold winter, the indoor temperature does not reach the temperature desired by the user. At this moment, through starting forced draught blower and compressor, when making indoor PM2.5 concentration reduction, adjust indoor temperature, ensure that indoor temperature is unlikely to the subcooling, reduced the temperature variation that new trend system brought, accomplish PM2.5 concentration regulation back at new trend system, indoor temperature also can be adjusted the value of retrieval user expectation, guarantee that the user feels comparatively comfortable when getting into indoor time.
As can be understood by those skilled in the art, in the case that the blower is an indoor fan of a fresh air conditioner, the PM2.5 concentration adjustment and the indoor temperature adjustment can be realized only by turning on the blower; under the condition that the blower is an independent axial flow fan arranged in the fresh air pipe, if the indoor temperature needs to be regulated, an indoor fan matched with the indoor heat exchanger needs to be started.
The present invention is described in detail below with further reference to fig. 1 and 2.
As shown in fig. 1 and 2, in one possible implementation, after step S300, the control method further includes:
interval setting time T1Then, the PM2.5 concentration P in the room is detected2And determining the concentration P of PM2.5 in the room2And a predetermined concentration PaBased on the judgment result, controlling the running states of the fresh air system and the air conditioning system;
wherein when P is1>P2≥PaWhen the fresh air system state is maintained unchanged, the compressor is correspondingly controlled to be at a second heating frequency f2Operation f2>f1;
Wherein when P is2≥P1≥PaWhile controlling the blower to set the second set wind speed V2Operating and controlling the compressor accordingly at a third heating frequency f3Operation, V2>V1, f3>f1;
Wherein when P is2<PaAnd controlling the air feeder to stop running.
The arrangement mode has the advantages thatIn the following steps: because the fresh air system is started, the concentration of the PM2.5 in the room is constantly changed, and at the moment, the set time T is required to be set1After (e.g. T)12min), the change of PM2.5 concentration is reconfirmed to judge the running states of the fresh air system and the air conditioning system again, and the problems that the indoor temperature is reduced, the compressor continuously works and further energy is wasted due to the fact that the PM2.5 concentration is normal and the fresh air is started are avoided; or the fresh air system is insufficient in starting power, and the indoor PM2.5 concentration is higher and higher when a plurality of pets run back and forth due to more indoor dust. To avoid this, a time T is set at intervals1Then, the PM2.5 concentration P in the room is detected2And determining the concentration P of PM2.5 in the room2And a predetermined concentration PaThe size of (2).
When P is1>P2≥PaIn the process, after the fresh air system is started, the PM2.5 concentration is actually reduced, but the PM concentration does not reach the preset concentration PaAt this time, the power of the fresh air system is enough, but T is turned on1The indoor temperature of the fresh air system of the time is reduced, and if the fresh air system is continuously started, the first heating frequency f1Now there is already a deficiency for the temperature compensation, and the compressor is accordingly controlled to the second heating frequency f2Operation f2>f1The frequency of the compressor is increased to maintain the room temperature near a user's desired value.
When P is present2≥P1≥PaIn the meantime, it is stated that the indoor PM2.5 concentration is higher than that before the start, that is, the indoor PM2.5 is more generated, and at this time, the operation speed of the fresh air system needs to be increased to make the blower at the second set wind speed V2Operation, V2>V1. The amount of supplied air increases and the indoor temperature decreases more rapidly, and therefore, the compressor is controlled to the third heating frequency f3Operation f3>f1And is used for compensating the indoor temperature.
When P is2<PaAnd when the concentration of the PM2.5 in the room reaches a proper concentration value, controlling the air blower to stop running. At this time, compressThe machine can still maintain the heating frequency unchanged and work for a period of time until the temperature T of the coil pipea≥T1And then the operation is stopped.
In another possible embodiment, as shown in fig. 2, the blower is "controlled at a first set speed V1Operating and controlling the compressor to a first heating frequency f1Before, simultaneously with, or after the step of operating ", the control method further comprises: detecting the PM2.5 concentration F of outdoor fresh air, and judging the PM2.5 concentration F and the preset concentration FaWhen F > FaWhen F is less than or equal to F, the blower is controlled to stop runningaWhen the fresh air conditioner is in the shutdown state, detecting the concentration P of PM2.5 in the room1And coil temperature T of indoor heat exchangera。
The setting mode has the advantages that: firstly, whether outdoor fresh air is suitable for being introduced into a room is determined by judging the concentration of PM2.5 of the outdoor fresh air, if the concentration of PM2.5 of the outdoor fresh air is too high, the outdoor fresh air is indicated to be in a severe pollution condition, air is introduced into the room at the moment, and the quality of the indoor air is reduced, so that the fresh air system is not started even if the concentration of PM2.5 in the room is higher, and only when the outdoor air is lower than the preset concentration F of PM2.5, the fresh air system is selected to be startedaThe introduction of fresh outdoor air is considered. The invention controls the fresh air conditioner to finish the operation when the fresh air conditioner is in a shutdown state, so that the concentration of PM2.5 in a room and the indoor temperature can be automatically adjusted in advance when a user is not at home, and intelligent control is finished.
In another possible embodiment, "in the state that the fresh air conditioner is stopped, the PM2.5 concentration P in the room is detected1And coil temperature T of the indoor heat exchangera"the control method further includes, after the step of: detecting outdoor ambient temperature Tao(ii) a Judging outdoor environment temperature TaoTemperature T of coil pipeaThe size of (d); when T isao≥TaAnd controlling the compressor to stop running. When outdoor ambient temperature TaoGreater than or equal to coil temperature TaWhen the temperature of the outdoor environment was high, the room was introducedThe influence of the outer fresh air on the indoor temperature is small, and the heating function is not required to be started.
After receiving the heating instruction, it indicates that the user needs to operate the device at this time, and the user is already in a more comfortable environment at this time, and these functions will not be operated any more, but operate according to the instruction of the user.
In conclusion, the invention automatically controls the PM2.5 concentration regulation of the fresh air conditioner in the shutdown state of the fresh air conditioner, thereby solving the problem that the existing fresh air conditioner can not automatically regulate the PM2.5 concentration in the shutdown state. Through increasing the control to the operating frequency of compressor, make fresh air conditioner when autonomic regulation PM2.5 concentration, indoor temperature variation is less, after PM2.5 concentration regulation, can be autonomically with indoor temperature adjustment to comparatively suitable temperature value. By increasing at every T1After time, detection is repeated, so that better PM2.5 concentration and temperature can be kept indoors all the time, and the air speed of the air blower and the heating frequency of the compressor can be adjusted in a targeted mode based on the PM2.5 concentration values compared before and after, so that the power is saved. PM2.5 judgment is added, so that the fresh air conditioner can select and judge whether to start a fresh air system according to the outdoor environment. Increasing coil temperature TaWith outdoor ambient temperature TaoThe judgment makes the fresh air conditioner selectively start the compressor, and unnecessary electric quantity waste is avoided.
It should be noted that the above-mentioned embodiments are only used for illustrating the principle of the present invention, and are not intended to limit the protection scope of the present invention, and those skilled in the art can modify the above-mentioned structure so that the present invention can be applied to more specific application scenarios without departing from the principle of the present invention.
For example, in an alternative embodiment, the "interval setting time T1Then, the PM2.5 concentration P in the room is detected2And determining the concentration P of PM2.5 in the room2And a predetermined concentration PaBased on the judgment result, in the step of controlling the running states of the fresh air system and the air conditioning system, the value of P can be2≥PaWhen the concentration of PM2.5 is too high, only the concentration is neededThe state of the fresh air system is maintained unchanged, the frequency of the compressor is not controlled, and of course, the fresh air system has only the function of adjusting the concentration of PM2.5 in air and does not have the function of adjusting the indoor temperature at the same time.
For example, in another alternative embodiment, the concentration F of PM2.5 in the fresh outdoor air exceeds the preset concentration FaDuring this moment, if be provided with the filtration module to PM2.5 in the new trend system, then only need slow the speed that the new trend got into, make the filtration module can the abundant filtration new trend can, also need not control forced draught blower stall.
For example, although the control method of the present invention is described with reference to the winter heating mode, it can be understood by those skilled in the art that the principle of the present invention can be obviously applied to the summer cooling mode as long as the corresponding parameters and judgment conditions are adjusted.
Although the foregoing embodiments describe the steps in the above sequential order, those skilled in the art will appreciate that, in order to achieve the effect of the present embodiments, the different steps need not be executed in the order, and may be executed simultaneously (in parallel) or in the reverse order, for example, the concentration F of PM2.5 and the preset concentration F are executed in the reverse orderaCan be compared with the indoor temperature T and the second set temperature T2The order of determination of (a) is reversed and these simple variations are within the scope of the invention.
In the first embodiment, how to control the fresh air conditioner is mainly described, so that the user can keep a low PM2.5 concentration and a comfortable temperature in the room after going home from work. However, the air conditioning system is not suitable for being started all the time, the indoor temperature is adjusted all the time, and the electric energy can be more efficiently utilized only when the air conditioning system is started some time before a user arrives at home, so that the energy waste is prevented, and particularly, the temperature needs to be accurately controlled due to high power consumption.
In the prior art, a user usually sets a preset starting time, such as 6:00 PM, a fresh air conditioner sets a fixed PM2.5 concentration and indoor temperature regulation time, such as 30min, so as to determine an advanced starting time, which is 5:30 PM if the preset starting time is 6:00 PM and the fixed air regulation time is 30 min.
However, the preset starting time of the user is not 6:00 every time, that is, the user is not 6:00 home every time, so that the situation that the user is started in advance, energy is wasted, the user is started after the user is delayed, and the user experience is poor may be caused. In addition, within a fixed air conditioning time of 30min, if the external environment is not referred to, the adjustment cannot be completed at every time, and further misjudgment is made on the early opening time, which may also cause energy waste or poor user experience.
How to accurately determine the preset starting time and how to ensure the fixed air conditioning time, and how to ensure the accuracy of the early starting time through the preset starting time and the fixed air conditioning time are emphasized in the second embodiment to the fourth embodiment.
Example two
In order to solve the problem that the preset startup time and the air conditioning time are not accurate enough in the prior art, the compensation for the preset startup time and the air conditioning time is added before the step S100 in the first embodiment of the present invention.
Referring to fig. 3, in which fig. 3 is a flowchart of a purification control method of a fresh air conditioner according to a second embodiment of the present invention.
As shown in fig. 3, in a preferred embodiment, the method for controlling purification of a fresh air conditioner further includes:
s110, acquiring the preset starting time and the outdoor environment temperature of the fresh air conditioner.
The preset starting time in this embodiment may be a starting time actively set by a user, or a starting time statistically obtained based on a historical starting time of the fresh air conditioner. For example, the preset starting time may be a starting time set by a user through a remote controller, a mobile phone APP, or a starting time obtained by a controller or a cloud server of the fresh air conditioner through statistics according to a historical actual starting time of the fresh air conditioner, for example, an average value of the historical actual starting time obtained through statistical calculation on the historical actual starting time of the fresh air conditioner by using statistical methods, probability theory calculation, and the like, and the average value is used as the preset starting time of the fresh air conditioner. The control method will be described below by taking the cloud server as an example to perform statistical calculation.
And S111, correcting the preset starting-up time based on the time correction parameter.
The time correction parameter is used to represent a corresponding relationship between the preset startup time and the actual startup time, that is, a deviation between the preset startup time and the actual startup time, which is set or calculated by a user. After the preset starting time is set by a user or calculated by the fresh air conditioner, the starting time is corrected based on the time correction parameter, and if the preset starting time is corrected by increasing or decreasing a time period on the basis of the determined preset starting time, the corrected preset starting time can be closer to the real starting time of the user. For example, if the preset power-on time is 18:00 and the time correction parameter is +10min, the corrected preset power-on time is 18:00+10min, which is 18: 10.
In a preferred embodiment, the time correction parameter is determined during the last operation of the fresh air conditioner. Specifically, when the fresh air conditioner receives a start-up instruction for the last time, if the fresh air conditioner receives the start-up instruction in the same time period of the previous day or the same time period of the previous days, the current actual start-up time is recorded first, then the historical preset start-up time and the historical actual start-up time in the set days before (including this time) this time are counted, and the average value of the historical preset start-up time and the average value of the historical actual start-up time in the set days are calculated respectively. And then calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical preset starting-up time, and storing the first difference value as a time correction parameter for correcting the preset starting-up time for the next time.
For example, the cloud server counts historical preset starting-up time and historical actual starting-up time of the fresh air conditioner in the same period (e.g., 18:00-19:00) of the last 7 days including this time, and calculates a mean value of all historical preset starting-up time and a mean value of all historical actual starting-up time, if the mean value of the historical preset starting-up time is calculated to be 18:30 and the mean value of the historical actual starting-up time is calculated to be 18:40, then the first difference is equal to 18:40-18: 30-10 min, that is, the time correction parameter is 10min, that is, in the last 7 days, the actual starting-up time of the user is 10min later than the preset starting-up time on average. Therefore, when the preset starting-up time is estimated next time, the estimated sum of the preset starting-up time and the time correction parameter is calculated to serve as the corrected preset starting-up time, and therefore the estimation accuracy of the preset starting-up time is improved, energy waste is reduced, and user experience is improved. Of course, the time correction parameter in the above example is described as a positive number, and the same holds true for the present control method if the time correction parameter obtained is a negative number. If the time correction parameter is-10 min, the actual starting time of the user in the past 7 days is 10min earlier than the preset starting time on average, and therefore when the preset starting time is estimated next time, the estimation accuracy of the preset starting time can be improved by calculating the sum of the preset starting time and the time correction parameter, namely subtracting 10min from the preset starting time to serve as the corrected preset starting time.
And S112, determining air conditioning time based on the outdoor environment temperature.
Acquiring the outdoor environment temperature of the position of the fresh air conditioner at the same time, before or after the preset starting time of the fresh air conditioner is acquired, for example, acquiring the outdoor environment temperature through a temperature sensor and the like arranged on an outdoor unit; then, based on the outdoor environment temperature, the air conditioning time is determined, and if the outdoor environment temperature is determined, the cloud server calculates the air conditioning time matched with the outdoor environment temperature based on the outdoor environment temperature.
Preferably, the air-conditioning time may be calculated based on a fitting formula between the outdoor ambient temperature and the air-conditioning time. For example, the air conditioning time is calculated using the following formula (1):
t=k×Tao+b (1)
in equation (1), t represents air conditioning time, Tao is outdoor ambient temperature, and k and b are constants that can be fit based on experimental data. For example, a plurality of control experiments are performed for different outdoor ambient temperatures and air conditioning times, thereby establishing a linear relationship of the air conditioning time and the outdoor ambient temperature.
Of course, the determination of the air-conditioning time may also be performed based on other relationships between the outdoor ambient temperature and the air-conditioning time, such as the determination based on the fixed corresponding relationship between the outdoor ambient temperature and the air-conditioning time. If a comparison table of the outdoor environment temperature and the air conditioning time is determined based on an air conditioning test, the air conditioning time determined by the outdoor environment temperature is determined by using the comparison table.
The setting mode has the advantages that: because different outdoor environment temperatures have great influence on the air conditioning capacity of the fresh air conditioner, the accuracy of the air conditioning time can be ensured by determining the air conditioning time by using a fitting formula or a corresponding relation between the outdoor environment temperature and the air conditioning time, and the energy is prevented from being excessively wasted.
S113, determining an advanced starting time based on the air conditioning time and the corrected preset starting time;
calculating the advanced starting time of the fresh air conditioner based on the corrected preset starting time and the air conditioning time compensated by the outdoor environment temperature; after the preset on time is corrected, the turn-on timing of the air conditioning mode may be determined based on the air conditioning time. For example, if the air conditioning time of the fresh air conditioner is 5min, the advanced starting time is 18:05 when the corrected preset starting time is 18: 10.
And S114, when the early opening time is reached, opening the step S100.
And when the time reaches the opening-in-advance time, controlling the fresh air conditioner to start to adjust the indoor PM2.5 concentration and the indoor temperature.
As can be seen from the above description, the purification control method of the fresh air conditioner according to the present invention can correct the preset startup time based on the time correction parameter, and improve the accuracy of time estimation. Specifically, the preset starting-up time is corrected based on the time correction parameter, and the control method can correct the preset starting-up time based on the starting-up habit of the user, so that the corrected preset starting-up time is closer to the real starting-up time of the user, the accurate and personalized treatment for a single user is realized, and the user experience is improved. In addition, the air conditioning time is determined based on the outdoor environment temperature, and because different outdoor environment temperatures have great influence on the air conditioning capacity of the fresh air conditioner, the air conditioning time is determined by utilizing a fitting formula or a corresponding relation between the outdoor environment temperature and the air conditioning time, so that the accuracy of the air conditioning time is further ensured, and the energy is prevented from being excessively wasted.
EXAMPLE III
Embodiment three of the present invention is based on embodiment two, and the step of determining the air-conditioning time based on the outdoor ambient temperature is removed, and a fixed air-conditioning time is directly specified. Because, as long as the parameters of the fresh air conditioner such as the frequency of the compressor, the rotating speed of the blower and the like are properly adjusted, the adjustment can be ensured to be completed within fixed air conditioning time at each time. However, the air conditioning time of the second embodiment has a certain error, and therefore the finally determined advanced opening timing has a certain error, but the error is within an acceptable range.
Referring to fig. 4 for a specific embodiment, fig. 4 is a flowchart of a purification control method of a fresh air conditioner according to a third embodiment of the present invention.
As shown in fig. 4, in a possible embodiment, the method for controlling purification of a fresh air conditioner further includes:
s120, acquiring a preset starting time of the fresh air conditioner;
s121, correcting the preset starting-up time based on the time correction parameter;
s122, determining an early starting time based on the preset air conditioning time and the corrected preset starting time;
and S123, starting the step S100 when the early starting time is reached.
Example four
In the fourth embodiment of the present invention, on the basis of the second embodiment, the step of correcting the preset startup time based on the time correction parameter is eliminated. Correspondingly, however, since the fourth embodiment lacks a step of correcting the preset boot-up time, there is a certain error with respect to the second embodiment, but the error is within an acceptable range.
Referring to fig. 5 for a specific embodiment, fig. 5 is a flowchart of a purification control method of a fresh air conditioner according to a fourth embodiment of the present invention.
As shown in fig. 5, in a possible embodiment, the method for controlling purification of a fresh air conditioner further includes:
s130, acquiring a preset starting time and an outdoor environment temperature of the fresh air conditioner;
s131, determining air conditioning time based on the outdoor environment temperature;
s132, determining an early starting time based on the air conditioning time and a preset starting time;
and S133, starting the step S100 when the early starting time is reached.
In the second to fourth embodiments, the fresh air conditioner is started in advance based on the fresh air conditioner, and then the time of the advance start is optimized in various ways, but if the life of the user is irregular in a period of time, for example, the user frequently goes on a business trip or frequently overtime causes unstable time of returning home, it needs to be determined whether the step S100 is started to adjust the indoor air. In view of the above problem, a fifth embodiment of the present invention provides a determination method to determine whether to start the step S100.
EXAMPLE five
In order to solve the problem that the fresh air conditioner cannot autonomously judge whether to adjust the indoor air when the life of a user is irregular, the method is additionally provided with a step of predicting whether to start the fresh air conditioner before the step S100.
Fig. 6 and 7 are shown in specific embodiments, where fig. 6 is a flowchart of a purification control method of a fresh air conditioner according to a fifth embodiment of the present invention, and fig. 7 is a schematic diagram of a scoring system according to the fifth embodiment of the present invention.
As shown in fig. 6, in a preferred embodiment, the method for controlling purification of a fresh air conditioner further includes:
and S141, when the predicted time point is reached, calculating the probability score of the fresh air conditioner starting at the current early starting moment based on a pre-established scoring system.
The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the fresh air conditioner and the probability score of the fresh air conditioner for starting the fresh air conditioner at the next early starting moment. The advanced opening time is the same as in the above-described second to fourth embodiments, the predicted time point is a certain time point before the advanced opening time, the advanced opening time is 19:00, and the predicted time point may be 1 hour before 19:00, that is, 18: 00.
The cloud server calls a pre-established scoring system to calculate the probability score of the fresh air conditioner being started in advance at 19:00, namely the probability of the fresh air conditioner being started in advance at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the fresh air conditioner and the probability score of the fresh air conditioner for starting the fresh air conditioner at the next early starting moment, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of starting the fresh air conditioner in advance at the time point based on the historical operation information and the historical prediction information of the fresh air conditioner.
In a preferred embodiment, step S141 may further include: inputting the next early opening time into a pre-trained fresh air conditioner opening probability model to obtain the historical opening probability of the fresh air conditioner opening the fresh air conditioner at the next early opening time; obtaining the recent opening probability based on the days for opening the fresh air conditioner at the next advanced opening time within the set days; obtaining historical prediction accuracy of the next early opening moment based on historical prediction information; calculating the probability score of the fresh air conditioner for starting at the next early starting moment based on the historical starting probability, the recent starting probability and the historical prediction accuracy; the fresh air conditioner starting probability model is used for representing the corresponding relation between the historical operation information and the historical starting probability. Specifically, as shown in fig. 7, in the present embodiment, after the early start time is input into the scoring system, the score calculated by the scoring system is derived from three parts, where the first part is the historical start frequency calculated based on the trained fresh air conditioner start probability model; the second part is the recent opening probability obtained based on the number of times of opening within the set number of days at the advanced opening time; the third part is history prediction accuracy of the early opening time obtained based on history prediction information; the probability score can be weighted values of historical opening probability, recent opening probability and historical prediction accuracy, and the weights of the three parts in the scoring system can be 70 points, 15 points and 15 points respectively.
In the first part, the establishment process of the fresh air conditioner opening probability model specifically may be: establishing a model by taking the historical moment of opening the fresh air conditioner in advance, the starting times corresponding to the moment of opening the fresh air conditioner and the total operation days of the fresh air conditioner as characteristic data to obtain the corresponding relation between the historical moment of opening the fresh air conditioner in advance and the historical opening probability, and then inputting the advanced opening moment into the model so as to output the historical opening probability corresponding to the advanced opening moment. In the second part, the set number of days may be the last 7 days, the recent opening probability of the last 7 days, which is increased by 1 day, is increased by 20%, and when the number of days is more than 5 days, the recent opening probability is 100%. In the third part, the historical prediction information may be a ratio of a predicted correct number to a predicted total number in the historical prediction of the early opening time.
For example, after the next early starting time is 19:00 and is input into the scoring system, the probability model of starting the fresh air conditioner calculates that the historical starting probability at the starting time is 80%; if the number of opening days in nearly 7 days is 4 days, the recent opening probability is 80 percent; the correct prediction quantity at the early opening time of 19:00 is 7 times, the total quantity is 10 times, and the prediction accuracy is 70 percent; from this, the three probabilities are multiplied by their weights, respectively, and summed, and the probability score P is 80% × 70+ 80% × 15+ 70% × 15 is 78.5.
And S142, when the probability score is larger than the set threshold and the early opening time is reached, the step S100 is carried out.
For example, on the premise of a full score of 100, the scoring system calculates the probability score of turning on the fresh air conditioner in advance at 19:00 to be 80 minutes (namely, the probability of turning on the fresh air conditioner in advance is 80%), which proves that a user is likely to use the fresh air conditioner after 19:00, and at the moment, when the advance turning-on moment is reached, the cloud server issues an instruction of turning on the step S100, so that the fresh air conditioner is turned on at 19:00 and starts to adjust the concentration and temperature of PM2.5 in a room. For another example, the scoring system calculates that the probability score of starting the fresh air conditioner in advance at 19:00 is 50 points, which proves that the user is very likely not to use the air conditioner after 19:00, and the cloud server controls the fresh air conditioner not to start the step S100.
Further, in a preferred embodiment, the predicted time point may be determined based on the following method:
and selectively determining the predicted time point based on the historical operation information of the fresh air conditioner. Specifically, the activity of the fresh air conditioner is judged based on the historical operation information of the fresh air conditioner; when the activity of the fresh air conditioner is high, counting the operation times of the fresh air conditioner in a plurality of operation time periods within a set number of days; selecting a plurality of operation time periods with operation times larger than the set times from a plurality of operation time periods; respectively calculating the average value of the opening time when all the fresh air conditioners are opened in advance in each selected operation time period as the advance opening time of the operation time period; and calculating the difference value of each advanced opening time and a preset time period as a predicted time point of the advanced opening time. For example, the activity of the fresh air conditioner may be defined as whether there is a startup behavior in the past few days (e.g., the past 3 days), and when there is a startup record in the past few days, the activity of the fresh air conditioner is high, otherwise, the activity is low. When the activity degree is low, the number of times that the user uses the air conditioner is proved to be less, the probability of opening the air conditioner is lower, and whether the fresh air conditioner is opened or not is not predicted at the moment. When the activity of the fresh air conditioner is high, the fact that a user uses the fresh air conditioner frequently is proved, habits and rules of using the fresh air conditioner are easier to analyze, the operation times of the fresh air conditioner in a plurality of operation periods within a set number of days (such as within the last 7 days) are counted, if all startup moments are aggregated for one operation period according to 1 hour, then a plurality of periods with startup times within 7 days larger than 4 times are selected from the plurality of operation periods, then the average value of all startup moments within each period is respectively calculated to serve as the advanced startup moment of the operation period, and finally the time point obtained by subtracting 1 hour from each advanced startup moment is taken as a predicted time point, if one advanced startup moment is 19:00, then 18:00 is the predicted time point of the advanced startup moment
Through the control mode, the control method can improve the intelligent degree and the user experience of the fresh air conditioner. Specifically, when the predicted time point is reached, the probability score of the fresh air conditioner starting at the next early starting time is calculated based on the scoring system, the control method can reasonably predict the probability of the user starting the air conditioner at the next early starting time based on historical information of the fresh air conditioner used by the user, and therefore when the probability of starting the air conditioner is high, the step S100 is controlled to be started after the air conditioner is started in advance, and the concentration and the temperature of indoor PM2.5 are controlled. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the fresh air conditioner and improve the user experience.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.