CN108452597B - Filter screen replacement reminding method and system for air filtering equipment and air filtering equipment - Google Patents
Filter screen replacement reminding method and system for air filtering equipment and air filtering equipment Download PDFInfo
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Abstract
The invention relates to a filter screen replacement reminding method and system for air filtering equipment and the air filtering equipment, wherein the filter screen replacement reminding method comprises the following steps: judging whether the equipment terminal is in a network disconnection working mode or a network connection working mode; if the equipment end is in the broken-net working mode, the equipment end calculates the service life of the filter screen in a countdown mode, and reminds a user to replace the filter screen according to the calculated service life of the filter screen; and if the equipment end is in a networking working mode, the cloud server end corrects the service life of the filter screen obtained by calculating the equipment end by adopting big data, and reminds a user to replace the filter screen according to the corrected service life of the filter screen. According to the invention, the device end adopts a mode of combining a disconnected network working mode and a connected network working mode, so that a user can conveniently select the disconnected network working mode and the connected network working mode according to needs, and the residual service life of the filter screen obtained by the device end is corrected by using the residual service life of the filter screen obtained by the cloud server end, so that the service life of the filter screen can be calculated more truly and accurately, and the user can be reminded to replace the filter screen in time.
Description
Technical Field
The invention belongs to the technical field of air purification, and particularly relates to a filter screen replacement reminding method and system for air filtering equipment and the air filtering equipment.
Background
Along with the improvement of living standard and the continuous enhancement of environmental protection consciousness of people, the sales volume of air purification products is increased year by year. The air filtering device can purify indoor air, can purify outdoor fresh air and then introduce the air into a room, and improves the freshness and cleanliness of the indoor air. As the use time increases, the filtering efficiency of the filter screen in the air filtering device gradually decreases, and thus the filter screen of the air filtering device needs to be replaced periodically.
At present, the filter screen replacement reminding is generally to set the total service time of the filter screen, and when the accumulated starting time of the air filtering equipment reaches the service time set by the filter screen, a user is reminded to replace the filter screen. However, because the operating conditions, gears, air volume, temperature and humidity of the air filtering device are different, the service life of the filter screen obtained by the existing method can only be used as a simple reference, and the replacement time of the filter screen cannot be accurately determined. In fact, the concentration of pollutants varies greatly from region to region and from season to season, which results in a great difference in the actual required replacement time of the filter screens. The replacement or cleaning of the filter screen too early or too late can affect the proper and proper use of the air filtering device.
Disclosure of Invention
In order to overcome the problems in the related art at least to a certain extent, the invention provides a method and a system for reminding filter screen replacement of air filtering equipment and the air filtering equipment.
According to a first aspect of the embodiments of the present invention, the present invention provides a method for reminding replacement of a filter screen of an air filtering device, including the following steps:
judging whether the equipment terminal is in a network disconnection working mode or a network connection working mode;
if the equipment end is in the broken-net working mode, the equipment end calculates the service life of the filter screen in a countdown mode, and reminds a user to replace the filter screen according to the calculated service life of the filter screen;
and if the equipment end is in a networking working mode, the cloud server end corrects the service life of the filter screen obtained by calculating the equipment end by adopting big data, and reminds a user to replace the filter screen according to the corrected service life of the filter screen.
Further, the concrete process that equipment end adopted the count-down mode to calculate filter screen life does:
the residual service life of the filter screen is 1-used time/preset total time of the filter screen.
Further, the environmental data includes concentration, temperature, or humidity of PM 2.5; the equipment data includes air volume, wind speed, runtime, and circulation pattern.
Further, when the device end is in the networking working mode, the cloud server end adopts big data to correct the service life of the filter screen obtained by computing the device end, and the specific process is as follows:
the equipment side sends the environment data and the equipment data to the cloud server side;
the cloud server side calculates the average residual life of the filter screens with the same model at the equipment side according to the received environmental data and the equipment data;
the cloud server end classifies the filter screens by adopting a clustering algorithm according to the calculated average residual life of the filter screens of the same model to obtain the residual life of each type of filter screen;
and correcting the service life of the preset filter screen by using the standard service life calculated by the cloud server.
Further, in the step of calculating the average remaining life of the filter screens of the same model at the equipment end by the cloud server end according to the received environmental data and the equipment data, the average remaining life of the filter screens is 1-used dust holding capacity/total dust holding capacity of the filter screens.
Further, the cloud server end classifies the filter screens by adopting a clustering algorithm according to the average remaining life of the filter screens of the same model obtained by calculation, and the specific process of obtaining the remaining life of each type of filter screens is as follows:
s431, filtering data;
s432, establishing data objects which need to be processed by the filter screen life model, wherein each data object comprises the following data fields: resetting the time of the filter screen, the average outdoor and indoor temperatures during use, the average outdoor and indoor humidity during use, the geographical position, the wind speed duration of each gear and the internal and external circulation modes;
s433, randomly selecting k data objects from the n data objects as an initial clustering center;
s434, for each data object, respectively calculating the distance between the data object and each initial clustering center, and reclassifying the corresponding data object according to the minimum distance in the calculated distances;
s435, recalculating the mean value of the class for all the data objects belonging to the same class;
s436, repeating the step S434 and the step S435 until the difference between the mean value of all the recalculated classes and the mean value of the class calculated last time is smaller than a preset threshold value, obtaining the centroid of the class, and taking the service life of the filter screen of the centroid as the standard service life;
s437, comparing the preset service life of the filter screen by taking the service life of the filter screen of the mass center as a standard service life, and obtaining a correction coefficient.
Further, the correction coefficient is: the correction factor is the filter life of the center of mass/the preset filter life.
According to a second aspect of the embodiment of the present invention, the present invention provides a filter screen replacement reminding system for an air filtration device, which includes a device end and a cloud server end, wherein the device end communicates with the cloud server end; the equipment terminal sends the environment data and the equipment data to the cloud server terminal; the equipment end calculates the residual service life of the filter screen in a countdown mode; the cloud server side calculates the average service life of the filter screen in a dust holding capacity accumulation mode, calculates the service life of the filter screen in a clustering algorithm mode according to received environment data and equipment data, corrects the service life of the filter screen preset by the equipment side by taking the calculated service life of the filter screen as a standard service life, sends the corrected service life of the filter screen to the equipment side, and reminds a user to replace the filter screen according to the received corrected service life of the filter screen.
Further, the filter screen replacement reminding system of the air filtering device further comprises an APP client, and the APP client is communicated with the device end and the cloud server end respectively; the cloud server side sends the corrected service life of the filter screen to the APP client side, and the APP client side can perform local or remote control on the equipment side; and the equipment terminal sends the environment data and the equipment data to the APP client terminal.
According to a third aspect of embodiments of the present invention, there is provided an air filtering apparatus including a filter screen replacement reminding system of any one of the air filtering apparatuses described above.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects: the equipment terminal adopts a mode of combining the network disconnection working mode and the network connection working mode, so that a user can conveniently select the mode according to actual needs. The residual life of the filter screen obtained by the equipment end is combined with the residual life of the filter screen obtained by the cloud server end through the big data, the residual life of the filter screen obtained by the cloud server end is used for correcting the residual life of the filter screen obtained by the equipment end, the service life of each filter screen can be calculated more scientifically and more accurately, the filter screen can be fully utilized and timely reminded to a user to replace the filter screen, the situation that all the filter screens are replaced at one time is avoided, the effect of the filter screen is exerted to the greatest extent, and waste is reduced. The intelligent air filtering device with the network communication function can provide more accurate service life reminding of the filter screen through cloud service.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a flowchart of a method for reminding filter screen replacement of an air filtering apparatus according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating that a cloud server side corrects the service life of a filter screen calculated by an equipment side by using big data in a filter screen replacement reminding method for an air filtering device according to an embodiment of the present invention.
Fig. 3 is a schematic diagram illustrating a change in a service life of a filter screen in a filter screen replacement reminding method of an air filtering apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Fig. 1 is a flowchart of a method for reminding filter screen replacement of an air filtering apparatus according to an embodiment of the present invention. As shown in fig. 1, the method for reminding the replacement of the filter screen of the air filter device of the present invention comprises the following steps:
s1, judging whether the equipment end is in the network disconnection working mode or the network connection working mode, and if the equipment end is in the network disconnection working mode, entering the step S2; if the device side is in the networking operation mode, the process proceeds to step S4.
S2, the equipment end calculates the service life of the filter screen by adopting a countdown mode and then enters the step S3.
The residual service life of the filter screen is 1-used time length (unit: min)/the preset total time length (unit: min) of the filter screen.
And S3, reminding a user to replace the filter screen according to the calculated service life of the filter screen.
S4, the cloud server side corrects the service life of the filter screen obtained by the equipment side through calculation by adopting big data, and the step S5 is carried out, and as shown in FIG. 2, the method specifically comprises the following steps:
and S41, the device side sends the environment data and the device data to the cloud server side.
Wherein the environmental data includes concentration of PM2.5, temperature or humidity, etc. The equipment data includes air volume, wind speed, run time, and circulation pattern, etc.
The specific process of sending data from the equipment end to the cloud server end is as follows:
the method comprises the steps that under the state that an equipment end is started and is communicated with a cloud server end, the equipment end collects environmental data collected by a sensor once at intervals of t 1; sending related data of the equipment end to the cloud server end once every t2, wherein the related data of the equipment end comprises environment data and equipment data; if the network disconnection time of the equipment terminal is less than t3 (usually t3 is far greater than t2), the acquired equipment data are received and stored in a disk of the cloud server terminal; and if the network disconnection time of the equipment terminal is longer than t3, not receiving the acquired equipment data, namely not storing the equipment data in a disk of the cloud server terminal.
When the equipment terminal and the cloud server terminal interrupt communication and then communicate again, the equipment terminal uploads the environmental data collected by the current sensor and uploads the environmental data once again at interval t 2.
And the equipment end compares the current time with the time of uploading the long data of the total accumulated running time of each wind speed, if the time interval between the current time and the time is greater than the time t3, the long data of the total accumulated running time of each wind speed is uploaded to the cloud server end, and the long data of the total accumulated running time of each wind speed and the current time are stored in a magnetic disk of the equipment end. And if the time interval between the wind speed and the wind speed is greater than the time t2 and less than the time t3, uploading the accumulated total operation time long data of each wind speed to a cloud server side, but not storing the data in a disk of the equipment side. If the time interval is less than time t2, the data is neither uploaded nor stored.
And S42, the cloud server side calculates the average residual life of the filter screens of the same model of the equipment side according to the received environmental data and the equipment data.
The average residual life of the filter screen is 1-used dust holding capacity of the filter screen (unit: mug)/total dust holding capacity (unit: mug), wherein the used dust holding capacity of the filter screen is calculated according to the following conditions:
for the filter screen with the model iClaire-120/300/520-G2, the dust holding capacity of the G4 primary filter screen is as follows under the external circulation mode: concentration C1 air flow rate running time of outdoor PM 2.5; in the internal circulation mode, the dust holding capacity is accumulated to be 0; the dust holding amount threshold is a set value. Wherein F7 medium efficiency filter screen is under the extrinsic cycle mode, and its dust holding capacity is: concentration of outdoor PM2.5 air volume running time; under the internal circulation mode, the dust holding capacity is as follows: the concentration of indoor PM2.5 is the air volume running time, and the dust holding volume threshold is a set value. Wherein the high-efficient filter screen of H12 is under the extrinsic cycle mode, and its dust holding capacity is: concentration C2 air flow rate running time of outdoor PM 2.5; under the internal circulation mode, the dust holding capacity is as follows: the concentration C3 of M2.5 in the chamber indicates the air flow rate running time, and the dust holding threshold is a set value. Wherein G4 filter screen of airing exhaust is under the extrinsic cycle mode, and its dust holding capacity is: indoor use
PM 2.5C 4, amount of current gear, run time, return air ratio; in the internal circulation mode, the dust holding capacity is accumulated to be 0; the dust holding amount threshold is a set value.
For the hood filter screen in the filter screen with the model iClaire-480, the dust holding capacity in the external circulation mode is as follows: outdoor pm2.5 x 0.15 x air volume time; the dust holding amount threshold is a set value.
For the filter screen with the model iClaire-160, the dust holding capacity of the G4 primary filter screen is as follows under the external circulation mode: outdoor pm 2.5C 5 air volume time; the dust holding amount threshold is a set value. Wherein H12 high-efficient filter screen, its dust holding capacity is under the extrinsic cycle mode: outdoor pm2.5 air volume time; the dust holding amount threshold is a set value.
The coefficients C1-C5 were obtained from multiple experiments.
And S43, classifying the filter screens by adopting a clustering algorithm according to the calculated average residual life of the filter screens with the same model, so as to obtain the residual life of each type of filter screen.
Specifically, the K-means algorithm in the clustering algorithm can be used for calculating the remaining life of each filter screen, and the specific process is as follows:
s431, filtering data;
firstly, judging the time interval of the service life of the reset filter screen, and if the time interval of the service life of the reset filter screen is within the range of a time interval threshold value, keeping the service life of the reset filter screen; otherwise, the service life of the reset filter screen is invalid and is not reserved. This can preserve the effectiveness of the reset screen life.
For example, the time interval for resetting the filter is set to 100 days, the time interval threshold range is set to be within ± 50% of the time interval for resetting the filter, and if the time from the last filter life reset is 30 days, the reset filter life is invalid and is not reserved.
And secondly, further filtering the service life of the reset filter screen according to the geographical position and the environment of the equipment end to obtain effective filter screen service life data.
S432, establishing data objects which need to be processed by the filter screen life model, wherein each data object comprises the following data fields: the method comprises the following steps of resetting the filter screen time, the average outdoor and indoor temperatures in use, the average outdoor and indoor humidity in use, the geographical position, the wind speed duration of each gear and the internal and external circulation modes.
And S433, randomly selecting k data objects from the n data objects as initial clustering centers, and presetting k to be 4.
And S434, respectively calculating the distance between each data object and each initial clustering center, and reclassifying the corresponding data object according to the minimum distance in the calculated distances.
S435, the mean of the class is recalculated for all data objects belonging to the same class.
And S436, repeating the step S434 and the step S435 until the difference between the mean value of all the recalculated classes and the mean value of the class calculated last time is smaller than a preset threshold value, obtaining the centroid of the class, and taking the service life of the filter screen of the centroid as the standard service life.
S437, comparing the preset service life of the filter screen by taking the service life of the filter screen of the mass center as a standard service life, and obtaining a correction coefficient.
The correction factor is the filter life of the center of mass/the preset filter life.
And S44, correcting the service life of the preset filter screen by using the standard service life calculated by the cloud server.
And S5, reminding a user to replace the filter screen according to the corrected service life of the filter screen.
In the filter screen replacement reminding method of the air filtering equipment, the equipment end calculates the residual service life of the filter screen in a countdown mode; the cloud server side calculates the residual service life of the filter screen in a dust holding capacity accumulation mode, and corrects the calculated residual service life of the filter screen by using the standard service life of the filter screen obtained by the big data through a clustering algorithm; the residual service life of the filter screen obtained by the equipment end is combined with the residual service life of the filter screen obtained by the cloud server end, when the equipment end is communicated with the cloud server end, the residual service life of the filter screen obtained by the cloud server end is used for correcting the residual service life of the filter screen obtained by the equipment end, the service life of each filter screen is accurately calculated, the situation that all the filter screens are replaced at one time is avoided, the effect of the filter screens is exerted to the maximum extent, and waste is reduced.
When the equipment end is not communicated with the cloud server end, the equipment end calculates the service life of the filter screen in a countdown mode, and when the equipment end is communicated with the cloud server end, the cloud server end corrects the residual service life of the filter screen in a dust holding capacity accumulation mode. The service life of the G4 primary filter screen is taken as an example and is explained as follows:
before correction: the remaining life of the filter screen is 1- (outdoor pm 2.5C 1 air volume time)/(dust holding capacity) is 80%,
after correction: the residual life of the filter screen is 80% -outdoor pm 2.5C 1 air volume time/(dust holding volume correction coefficient).
As shown in fig. 3, by using the method for reminding the replacement of the filter screen of the air filtering device of the present invention, the service life of the filter screen is not changed suddenly, but the change speed of the service life of the filter screen is increased or decreased.
The invention also provides a filter screen replacement reminding system of the air filtering equipment, which comprises an equipment end and a cloud server end. The device side communicates with the cloud server side. And the equipment terminal sends the environment data and the equipment data to the cloud server terminal. And the equipment end calculates the residual service life of the filter screen in a countdown mode. The cloud server side calculates the average service life of the filter screen in a dust holding capacity accumulation mode, calculates the service life of the filter screen by adopting a clustering algorithm according to received big data such as environmental data, equipment data and the like, corrects the preset service life of the filter screen of the equipment side by taking the calculated service life of the filter screen as a standard service life, sends the corrected service life of the filter screen to the equipment side, and reminds a user to replace the filter screen according to the received corrected service life of the filter screen.
The filter screen replacement reminding system of the air filtering equipment is also provided with an APP client, and the APP client is communicated with the equipment end and the cloud server end respectively. The service life of the filter screen after being corrected is sent to the APP client side by the cloud server side, and the APP client side can carry out local or remote control on the equipment side. The device side sends the environment data, the device data and the like to the APP client side, and therefore the user can know the service condition of the device side conveniently.
An embodiment of the present invention further provides an air filtering apparatus, which includes the filter screen replacement reminding system of the air filtering apparatus in any of the above embodiments.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A filter screen replacement reminding method of air filtering equipment is characterized by comprising the following steps:
judging whether the equipment terminal is in a network disconnection working mode or a network connection working mode;
if the equipment end is in the broken-net working mode, the equipment end calculates the service life of the filter screen in a countdown mode, and reminds a user to replace the filter screen according to the calculated service life of the filter screen;
if the equipment end is in a networking working mode, the cloud server end corrects the service life of the filter screen obtained by calculation of the equipment end by adopting big data, and reminds a user to replace the filter screen according to the corrected service life of the filter screen;
wherein, when the equipment end is in the networking working mode, the cloud server end adopts big data to correct the service life of the filter screen obtained by calculating the equipment end, and the concrete process is as follows:
the equipment side sends the environment data and the equipment data to the cloud server side;
the cloud server side calculates the average residual life of the filter screens with the same model at the equipment side according to the received environmental data and the equipment data;
the cloud server end classifies the filter screens by adopting a clustering algorithm according to the calculated average residual life of the filter screens of the same model to obtain the residual life of each type of filter screen;
correcting the service life of a preset filter screen by using the standard service life calculated by the cloud server side;
the cloud server end classifies the filter screens by adopting a clustering algorithm according to the average residual life of the filter screens of the same model obtained by calculation, and the specific process of obtaining the residual life of each type of filter screens is as follows:
s431, filtering data;
s432, establishing data objects which need to be processed by the filter screen life model, wherein each data object comprises the following data fields: resetting the time of the filter screen, the average outdoor and indoor temperatures during use, the average outdoor and indoor humidity during use, the geographical position, the wind speed duration of each gear and the internal and external circulation modes;
s433, randomly selecting k data objects from the n data objects as an initial clustering center;
s434, for each data object, respectively calculating the distance between the data object and each initial clustering center, and reclassifying the corresponding data object according to the minimum distance in the calculated distances;
s435, recalculating the mean value of the class for all the data objects belonging to the same class;
s436, repeating the step S434 and the step S435 until the difference between the mean value of all the recalculated classes and the mean value of the class calculated last time is smaller than a preset threshold value, obtaining the centroid of the class, and taking the service life of the filter screen of the centroid as the standard service life;
s437, comparing the preset service life of the filter screen by taking the service life of the filter screen of the mass center as a standard service life, and obtaining a correction coefficient.
2. The filter screen replacement reminding method of air filtering equipment according to claim 1, wherein the specific process of calculating the service life of the filter screen by the equipment end in a countdown manner is as follows:
the residual service life of the filter screen is 1-used time/preset total time of the filter screen.
3. The filter screen replacement reminding method of an air filtering device according to claim 1, wherein the environmental data includes a concentration, a temperature or a humidity of PM 2.5; the equipment data includes air volume, wind speed, runtime, and circulation pattern.
4. The method for reminding replacement of a filter screen of air filtration equipment according to claim 1, wherein the average remaining life of the filter screen of the same model as that of the equipment end is 1-used dust holding capacity/total dust holding capacity in the calculation of the average remaining life of the filter screen of the same model as that of the equipment end by the cloud server end according to the received environmental data and the equipment data.
5. The filter screen replacement reminding method of an air filtering device according to claim 1, wherein the correction factor is: the correction factor is the filter life of the center of mass/the preset filter life.
6. A filter screen replacement reminding system of air filtering equipment is characterized by comprising an equipment end and a cloud server end, wherein the equipment end is communicated with the cloud server end; the equipment terminal sends the environment data and the equipment data to the cloud server terminal; the equipment end calculates the residual service life of the filter screen in a countdown mode; the cloud server side calculates the average service life of the filter screen in a dust holding capacity accumulation mode, calculates the service life of the filter screen in a clustering algorithm according to received environment data and equipment data, corrects the preset service life of the filter screen of the equipment side by taking the calculated service life of the filter screen as a standard service life, sends the corrected service life of the filter screen to the equipment side, and reminds a user to replace the filter screen according to the received corrected service life of the filter screen;
wherein, cloud server end adopts the mode that holds the dust volume and adds up to calculate the average life-span of filter screen to adopt the clustering algorithm to calculate the life-span of filter screen according to received environmental data and equipment data, the filter screen life-span that will calculate is revised as standard life-span to the filter screen life-span that equipment end was predetermine, specifically is:
the cloud server side calculates the average residual life of the filter screens with the same model at the equipment side according to the received environmental data and the equipment data;
the cloud server end classifies the filter screens by adopting a clustering algorithm according to the calculated average residual life of the filter screens of the same model to obtain the residual life of each type of filter screen;
correcting the service life of a preset filter screen by using the standard service life calculated by the cloud server side;
the cloud server end classifies the filter screens by adopting a clustering algorithm according to the average residual life of the filter screens of the same model obtained by calculation, and the specific process of obtaining the residual life of each type of filter screens is as follows:
s431, filtering data;
s432, establishing data objects which need to be processed by the filter screen life model, wherein each data object comprises the following data fields: resetting the time of the filter screen, the average outdoor and indoor temperatures during use, the average outdoor and indoor humidity during use, the geographical position, the wind speed duration of each gear and the internal and external circulation modes;
s433, randomly selecting k data objects from the n data objects as an initial clustering center;
s434, for each data object, respectively calculating the distance between the data object and each initial clustering center, and reclassifying the corresponding data object according to the minimum distance in the calculated distances;
s435, recalculating the mean value of the class for all the data objects belonging to the same class;
s436, repeating the step S434 and the step S435 until the difference between the mean value of all the recalculated classes and the mean value of the class calculated last time is smaller than a preset threshold value, obtaining the centroid of the class, and taking the service life of the filter screen of the centroid as the standard service life;
s437, comparing the preset service life of the filter screen by taking the service life of the filter screen of the mass center as a standard service life, and obtaining a correction coefficient.
7. The filter screen replacement reminding system of air filtration equipment of claim 6, wherein the filter screen replacement reminding system of air filtration equipment further comprises an APP client, the APP client is in communication with the equipment terminal and the cloud server terminal respectively; the cloud server side sends the corrected service life of the filter screen to the APP client side, and the APP client side can perform local or remote control on the equipment side; and the equipment terminal sends the environment data and the equipment data to the APP client terminal.
8. An air filtering device characterized in that it comprises a filter screen replacement reminder system for an air filtering device according to any one of claims 6 and 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810182647.9A CN108452597B (en) | 2018-03-06 | 2018-03-06 | Filter screen replacement reminding method and system for air filtering equipment and air filtering equipment |
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| CN201810182647.9A CN108452597B (en) | 2018-03-06 | 2018-03-06 | Filter screen replacement reminding method and system for air filtering equipment and air filtering equipment |
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| CN108452597A CN108452597A (en) | 2018-08-28 |
| CN108452597B true CN108452597B (en) | 2020-06-23 |
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| CN109869829A (en) * | 2019-01-31 | 2019-06-11 | 深圳市晨北科技有限公司 | A kind of based reminding method and server |
| CN110131835B (en) * | 2019-03-29 | 2021-01-12 | 佛山市中格威电子有限公司 | Control method for judging cleaning prompt of air conditioner based on humidity parameter |
| CN113357676B (en) * | 2020-03-02 | 2022-04-19 | 宁波方太厨具有限公司 | Method for estimating remaining service time of filter screen in centralized smoke exhaust system of building |
| CN112303708A (en) * | 2020-10-30 | 2021-02-02 | 青岛海信日立空调系统有限公司 | Air conditioner and control method |
| CN113555120B (en) * | 2021-07-26 | 2022-10-11 | 医渡云（北京）技术有限公司 | Biological state analysis method and device, storage medium, and electronic device |
| CN113941192A (en) * | 2021-11-15 | 2022-01-18 | 合众新能源汽车有限公司 | State monitoring method and system for vehicle air conditioner filter element |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104633829A (en) * | 2013-11-06 | 2015-05-20 | 上海思控电气设备有限公司 | Building cooling station energy-saving control device and method thereof |
| CN105677541A (en) * | 2016-03-10 | 2016-06-15 | 刘明江 | Intelligent monitoring software system for air filtering material |
| CN106322643A (en) * | 2015-07-07 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Management method and device for air purification devices |
| CN206014579U (en) * | 2016-08-04 | 2017-03-15 | 日日顺物联网有限公司 | Treatment device for water and system |
| CN106958922A (en) * | 2017-04-12 | 2017-07-18 | 浙江地球村环保科技有限公司 | A kind of method and system for detecting the new blower fan screen net life-span |
| CN107514750A (en) * | 2017-08-23 | 2017-12-26 | 绵阳美菱软件技术有限公司 | A kind of screen replacing based reminding method, apparatus and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6834266B2 (en) * | 2001-10-11 | 2004-12-21 | Profitlogic, Inc. | Methods for estimating the seasonality of groups of similar items of commerce data sets based on historical sales data values and associated error information |
-
2018
- 2018-03-06 CN CN201810182647.9A patent/CN108452597B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104633829A (en) * | 2013-11-06 | 2015-05-20 | 上海思控电气设备有限公司 | Building cooling station energy-saving control device and method thereof |
| CN106322643A (en) * | 2015-07-07 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Management method and device for air purification devices |
| CN105677541A (en) * | 2016-03-10 | 2016-06-15 | 刘明江 | Intelligent monitoring software system for air filtering material |
| CN206014579U (en) * | 2016-08-04 | 2017-03-15 | 日日顺物联网有限公司 | Treatment device for water and system |
| CN106958922A (en) * | 2017-04-12 | 2017-07-18 | 浙江地球村环保科技有限公司 | A kind of method and system for detecting the new blower fan screen net life-span |
| CN107514750A (en) * | 2017-08-23 | 2017-12-26 | 绵阳美菱软件技术有限公司 | A kind of screen replacing based reminding method, apparatus and system |
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Denomination of invention: Filter screen replacement reminder method and system of air filtration equipment, air filtration equipment Effective date of registration: 20220331 Granted publication date: 20200623 Pledgee: Agricultural Bank of China Limited jiangmencheng sub branch Pledgor: PELUCCHI TECHNOLOGY (GUANGDONG) CO.,LTD. Registration number: Y2022980003715 |