CN113998746B - Intelligent control method and system of water purifier, electronic equipment and storage medium - Google Patents
Intelligent control method and system of water purifier, electronic equipment and storage medium Download PDFInfo
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B01D61/00—Processes of separation using semi-permeable membranes, e.g. dialysis, osmosis or ultrafiltration; Apparatus, accessories or auxiliary operations specially adapted therefor
- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/025—Reverse osmosis; Hyperfiltration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D61/00—Processes of separation using semi-permeable membranes, e.g. dialysis, osmosis or ultrafiltration; Apparatus, accessories or auxiliary operations specially adapted therefor
- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/08—Apparatus therefor
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- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D61/00—Processes of separation using semi-permeable membranes, e.g. dialysis, osmosis or ultrafiltration; Apparatus, accessories or auxiliary operations specially adapted therefor
- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/10—Accessories; Auxiliary operations
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- B01D61/02—Reverse osmosis; Hyperfiltration ; Nanofiltration
- B01D61/12—Controlling or regulating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
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- B01D65/02—Membrane cleaning or sterilisation ; Membrane regeneration
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/44—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis
- C02F1/441—Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis by reverse osmosis
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Abstract
The application provides an intelligent control method, an intelligent control system, electronic equipment and a storage medium of a water purifier, and belongs to the technical field of intelligent control of water purifiers. The application records the historical drinking habit by a data mode, judges whether the user of the water dispenser has the approximately same drinking habit by analyzing the similarity of water data, and performs the control of draining water in advance, flushing with high strength, heating in advance, and heating in advance on the similar configuration of the drinking habit at proper time, thereby saving water resources and saving energy, and ensuring the continuous drinking safety of the user in a fundamental sense.
Description
Technical Field
The application belongs to the technical field of intelligent control of water purifiers, and particularly relates to an intelligent control method, an intelligent control system, electronic equipment and a storage medium of a water purifier.
Background
Drinking water health is becoming more and more important and interesting. However, the control of water making, flushing, heating, discharging and the like of the drinking water equipment in the industry is usually judged by a sensor or a switch of the drinking water equipment at present; because the flushing and the water discharging are a part of cleaning, microorganism breeding can be generated in the water making and placing time, and the repeated heating can bring about hidden health hazards and energy consumption, therefore, when the flushing, the water making, the heating and the water discharging need to be operated when the flushing, the water making, the heating and the water discharging are most needed.
Defects of the prior art:
and (3) water preparation: the pressure sensing control is generally adopted, the pressure of purified water changes after drinking water, and the water purifier can continuously produce water until the pressure is balanced;
flushing: in a water dispenser with an RO reverse osmosis membrane, the RO reverse osmosis membrane is washed after the water dispenser finishes water, so that washing is more frequent, the washing force cannot be too high, and the water consumption cannot be too high; if water is not produced for a long time, fine sediment is precipitated on the surface of the RO reverse osmosis membrane to influence the service life of the membrane, and microorganism breeding can be caused, so that the water purification sanitation produced next time does not reach the standard;
and (3) water discharge: the purified water after water preparation is discharged once, water preparation is restarted, water resources are wasted due to frequent water discharge, microorganisms are bred if water is not used for a long time, and hidden danger is brought to drinking water again;
heating, namely heating the water dispenser with a heating function through a manual switch or maintaining a certain temperature to ensure quick heating when drinking water is needed; the former has long heating time, and the latter can not save energy because of the hidden trouble brought to drinking water due to the increase of nitrite content caused by repeated heating.
Disclosure of Invention
Aiming at the defects in the prior art, the intelligent control method, the system, the electronic equipment and the storage medium of the water purifier provided by the application solve the problems that water cannot be saved and drinking water is unsafe in the prior art.
In order to achieve the above purpose, the application adopts the following technical scheme:
the scheme provides an intelligent control method of a water purifier, which comprises the following steps:
s1, acquiring water consumption conditions in fixed time, wherein the water consumption sample data of each day are equal;
s2, calculating to obtain the total standard deviation of the daily water consumption condition according to the daily water consumption sample data;
s3, calculating to obtain the Person coefficient similarity of the water consumption conditions of two adjacent days according to the total standard deviation of the water consumption conditions of each day;
s4, calculating to obtain an average value of the pearson coefficient similarity according to the pearson coefficient similarity of the water consumption conditions of the two adjacent days;
s5, intelligently controlling the water purifier according to the average value of the pearson coefficient similarity.
The beneficial effects of the application are as follows: according to the application, the historical drinking habits of each day are recorded in a data mode, and whether the user of the water dispenser has the approximately same drinking habit is judged through the similarity analysis of the water data, and the drinking habit is similarly configured to be discharged in advance, washed with high strength, heated in advance, and controlled by closing the heating in advance, so that water resources can be saved, energy can be saved, and the continuous drinking safety of the user is ensured in a fundamental sense.
Further, the expression of the total standard deviation of the daily water consumption condition in the step S2 is as follows:
wherein sigma represents the total standard deviation of the daily water consumption, n represents the data quantity of water samples, and the daily water consumption is equal to X i Water sample data representing a day,mean value of water sample data for a certain day is shown.
The beneficial effects of the above-mentioned further scheme are: the sigma value indicates probability density distribution of random errors when a series of measurements are carried out under certain conditions; a small sigma value indicates that the measured value is concentrated, a large sigma value indicates that the measured value is scattered, and the next calculation is carried out based on the measured value.
Still further, the expression of the pearson coefficient similarity of the two adjacent water consumption conditions in the step S3 is as follows:
wherein r represents the Pelson coefficient similarity of water consumption conditions of two adjacent days, n represents the water consumption sample data quantity, the water consumption quantity of each day is equal, and X i Water sample representing a dayThe data set is used to determine, based on the data,mean value of water sample data for a certain day, Y i Water sample data representing adjacent days, < >>Mean value of water sample data of adjacent days is represented, σx represents standard deviation of water sample data sample of a day, and σy represents standard deviation of water sample data sample of adjacent days.
The beneficial effects of the above-mentioned further scheme are: the pearson coefficient similarity is a coefficient of linear correlation reflecting the degree of linear correlation between two quantities, ranging in value from-1 to 1, the closer the absolute value is to 1, the stronger the correlation.
Still further, the step S5 specifically includes:
if the average value of the similarity of the Pelson coefficients is larger than 0.6, the water purifier is brought into a morning control range so as to intelligently control the water purifier;
and if the average value of the similarity of the Pelson coefficients is larger than 0.8, the water purifier is simultaneously brought into a morning control range and a day control range so as to intelligently control the water purifier.
The beneficial effects of the above-mentioned further scheme are: the similarity of the water consumption condition of the water purifier in the near 30 days (non-holidays) can be represented by calculating the average value of the similarity of the Pelson coefficients, and the similarity of water consumption habits in the maximum time range can be represented according to different similarities, so that a future period of time can be brought into different intelligent controls.
Still further, the incorporation of the water purifier into the morning control range for intelligent control of the water purifier is specifically: the automatic water production of the water purifier is changed into manual trigger water production and the automatic heating is changed into manual trigger heating according to the last water consumption time of the previous day from 22 to 7 points per day; and according to the first water use time in the last day, starting flushing, discharging water, automatically preparing water and automatically heating in advance so as to control the water purifier;
the water purifier is simultaneously brought into a morning control range and a day control range so as to intelligently control the water purifier, and the water purifier is specifically: 7 to 18 points per day, and flushing the water purifier every one hour according to the time period of no water used in the last day; and heating in advance according to the time of using water the day before to control the water purifier.
The beneficial effects of the above-mentioned further scheme are: the intelligent control can reduce unnecessary heating and water production, can save energy consumption and water resources, and can prompt drinking water sanitation at the same time, thereby fundamentally guaranteeing drinking water safety.
The application provides an intelligent control system of a water purifier, which comprises:
the data acquisition module is used for acquiring the water consumption condition of fixed time, and the water consumption sample data of each day are equal;
the total standard deviation calculation module is used for calculating the total standard deviation of the daily water consumption condition according to the daily water consumption sample data;
the similarity calculation module is used for calculating the pearson coefficient similarity of the water consumption conditions of two adjacent days according to the total standard deviation of the water consumption conditions of each day;
the similarity average value calculation module is used for calculating the average value of the pearson coefficient similarity according to the pearson coefficient similarity of the water consumption conditions of the two adjacent days;
and the intelligent control module of the water purifier is used for intelligently controlling the water purifier according to the average value of the pearson coefficient similarity.
The beneficial effects of the application are as follows: according to the application, the historical drinking habits of each day are recorded in a data mode, and whether the user of the water dispenser has the approximately same drinking habit is judged through the similarity analysis of the water data, and the drinking habit is similarly configured to be discharged in advance, washed with high strength, heated in advance, and controlled by closing the heating in advance, so that water resources can be saved, energy can be saved, and the continuous drinking safety of the user is ensured in a fundamental sense.
The application provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the program to realize the intelligent control method of the water purifier.
The present application provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the intelligent control method of a water purifier.
Drawings
FIG. 1 is a flow chart of the method of the present application.
Fig. 2 is a schematic diagram of a system structure according to the present application.
Detailed Description
The following description of the embodiments of the present application is provided to facilitate understanding of the present application by those skilled in the art, but it should be understood that the present application is not limited to the scope of the embodiments, and all the applications which make use of the inventive concept are protected by the spirit and scope of the present application as defined and defined in the appended claims to those skilled in the art.
Example 1
The standard water making capacity (unit ml/Min, total water produced per minute), the purified water bucket capacity (unit ml), the proper strength time for flushing (unit Min, no damage to filter elements, pipelines and the like), the water discharging time standard (unit Min, namely, the time for emptying all purified water including the water bucket to be purified, the cold and hot water containers, the purified water pipelines and the like), the heating time (unit Min, the time for heating the hot water containers) and the result data are tested in a laboratory through test means such as directional marking and the like, and the result data are input into a cloud system. As shown in fig. 1, the application provides an intelligent control method of a water purifier, which comprises the following steps:
s1, acquiring water consumption conditions in fixed time, wherein the water consumption sample data of each day are equal;
in this embodiment, the water consumption condition of about 30 days (not holidays) is calculated by reporting data in real time at regular time, the data amount of each day is equal, and the insufficient data is filled with 0; water consumption every ten minutes for the first and second days (non-holidays):
first day sample data: as A= [0,0,0,0,0,2991,0,623,114, … ]
The following day sample data: as B= [0,0,0,0,0,2547,511,313,1773, … ]
Third day sample data: such as C= [0,0,0,0,0,2750,214,482,901, … ]
S2, calculating to obtain the total standard deviation of the daily water consumption condition according to the daily water consumption sample data:
wherein sigma represents the total standard deviation of the daily water consumption, n represents the data quantity of water samples, and the daily water consumption is equal to X i Water sample data representing a day,mean value of water sample data for a certain day;
in this embodiment, the total standard deviations σa, σb, σc of the daily water use conditions are calculated by taking the sampling data into the formula.
S3, calculating the Person coefficient similarity of the water consumption conditions of two adjacent days according to the total standard deviation of the water consumption conditions of each day:
wherein r represents the Pelson coefficient similarity of water consumption conditions of two adjacent days, n represents the water consumption sample data quantity, the water consumption quantity of each day is equal, and X i Water sample data representing a day,mean value of water sample data for a certain day, Y i Water sample data representing adjacent days, < >>Mean value of water sample data of adjacent days is represented, sigma x represents standard deviation of water sample data of a day, sigma y represents standard deviation of water sample data of adjacent days;
in this embodiment, the pearson coefficient similarity rAB of the water consumption conditions of the first day and the second day is calculated by taking the sample data of the first day and the second day into a formula, and the pearson coefficient similarity rBC of the water consumption conditions of the first day and the second day is calculated by taking the sample data of the second day and the third day into a formula.
S4, calculating to obtain an average value of the pearson coefficient similarity according to the pearson coefficient similarity of the water consumption conditions of the two adjacent days;
in this embodiment, the data is taken as 30 groups of data of about 30 days (except holidays), the similarity of the first day and the second day, the similarity of the second day and the third day, the similarity of the third day and the fourth day are calculated according to the similarity, 29 similarity data are obtained by the calculation, and finally, the average value of the pearson coefficient similarity is obtained.
S5, intelligently controlling the water purifier according to the average value of the pearson coefficient similarity.
If the average value of the similarity of the Pelson coefficients is greater than 0.6, the water purifier is brought into the morning control range to intelligently control the water purifier, and the method specifically comprises the following steps: the automatic water production of the water purifier is changed into manual trigger water production and the automatic heating is changed into manual trigger heating according to the last water consumption time of the previous day from 22 to 7 points per day; and according to the first water use time in the last day, starting flushing, discharging water, automatically preparing water and automatically heating in advance so as to control the water purifier;
and if the average value of the similarity of the Pelson coefficients is larger than 0.8, the water purifier is simultaneously brought into a morning control range and a day control range so as to intelligently control the water purifier.
The water purifier is brought into a morning control range so as to intelligently control the water purifier, and the method specifically comprises the following steps:
the water purifier is simultaneously brought into a morning control range and a daily control range, namely, except the morning control range, the daily control range is newly added for intelligent control of the water purifier, and the intelligent control method specifically comprises the following steps: 7 to 18 points per day, and flushing the water purifier every one hour according to the time period of no water used in the last day; and heating in advance according to the time of using water the day before to control the water purifier.
In this embodiment, if the average value of the similarity of the pearson coefficients is greater than 0.6, the device is brought into the morning control range; if the average value of the similarity of the Pelson coefficients is greater than 0.8, the device is incorporated into both the morning and day control ranges.
In this embodiment, the morning control: the automatic water making of the water dispenser is changed into manual triggering water making and the automatic heating is changed into manual triggering heating according to the last water using time of the last day within 22:00-7:00 of each day; the water dispenser is started to be flushed forcefully in advance according to the first water use time in the last day, water is discharged after the water is completed, and automatic water making and automatic heating are started after the water discharge is completed.
In this embodiment, daily control: the water is forcefully washed every other hour in the time period of no water use in the last day according to schools, kindergartens, training institutions and the like in the range of 7:00-18:00 a day; heating is performed each time in advance according to the time of using water the last day.
Example 2
As shown in fig. 2, the present application provides an intelligent control system of a water purifier, comprising:
the data acquisition module is used for acquiring the water consumption condition of fixed time, and the water consumption sample data of each day are equal;
the total standard deviation calculation module is used for calculating the total standard deviation of the daily water consumption condition according to the daily water consumption sample data;
the similarity calculation module is used for calculating the pearson coefficient similarity of the water consumption conditions of two adjacent days according to the total standard deviation of the water consumption conditions of each day;
the similarity average value calculation module is used for calculating the average value of the pearson coefficient similarity according to the pearson coefficient similarity of the water consumption conditions of the two adjacent days;
and the intelligent control module of the water purifier is used for intelligently controlling the water purifier according to the average value of the pearson coefficient similarity.
The intelligent control system of the water purifier provided in the embodiment shown in fig. 2 may execute the technical solution shown in the embodiment of the method, and its implementation principle is similar to that of the beneficial effects, and will not be repeated here.
Example 3
The application provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor executes the program to realize the intelligent control method of the water purifier in any one of the implementation 1.
In this embodiment, the electronic device may include: the intelligent control method for the water purifier provided by the embodiment 1 of the application is implemented when the processor runs the computer program.
Example 4
The present application provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the intelligent control method of the water purifier of any one of embodiment 1.
The above-described computer-readable storage media can be implemented in any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), erasable programmable and read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk, and can be any available media that can be accessed by a general purpose or special purpose computer. The readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium, which may also be part of the processor, the processor and the readable storage medium may reside in an Application Specific Integrated Circuit (ASIC), and the processor and the readable storage medium may also reside as discrete components in an intelligent control system for a water purifier.
Embodiments of the application may be provided as a method, apparatus, or computer program product, and therefore, the application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The methods, apparatus (means), and computer program products according to embodiments of the present application are described with reference to flow diagrams and/or block diagrams, it being understood that each flow diagram and/or block diagram, and combinations of flow diagrams and/or block diagrams, can be implemented by computer program instructions that can be provided in a computer-readable memory of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus, operating in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flow diagram flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart and/or block diagram block or blocks.
Claims (6)
1. The intelligent control method of the water purifier is characterized by comprising the following steps of:
s1, acquiring water consumption conditions in fixed time, wherein the water consumption sample data of each day are equal;
s2, calculating to obtain the total standard deviation of the daily water consumption condition according to the daily water consumption sample data;
s3, calculating to obtain the Person coefficient similarity of the water consumption conditions of two adjacent days according to the total standard deviation of the water consumption conditions of each day;
s4, calculating to obtain an average value of the pearson coefficient similarity according to the pearson coefficient similarity of the water consumption conditions of the two adjacent days;
s5, intelligently controlling the water purifier according to the average value of the pearson coefficient similarity;
the step S5 specifically comprises the following steps:
if the average value of the similarity of the Pelson coefficients is larger than 0.6, the water purifier is brought into a morning control range so as to intelligently control the water purifier;
if the average value of the similarity of the Pelson coefficients is larger than 0.8, the water purifier is simultaneously brought into a morning control range and a day control range so as to intelligently control the water purifier;
the water purifier is brought into a morning control range so as to intelligently control the water purifier, and the method specifically comprises the following steps: the automatic water production of the water purifier is changed into manual trigger water production and the automatic heating is changed into manual trigger heating according to the last water consumption time of the previous day from 22 to 7 points per day; and starting flushing, discharging water, automatically preparing water and automatically heating in advance according to the first water use time in the last day so as to intelligently control the water purifier;
the water purifier is simultaneously brought into a morning control range and a day control range so as to intelligently control the water purifier, and the water purifier is specifically: 7 to 18 points per day, and flushing the water purifier every one hour according to the time period of no water used in the last day; and heating in advance according to the time of using water in the last day so as to intelligently control the water purifier.
2. The intelligent control method of a water purifier according to claim 1, wherein the expression of the total standard deviation of the daily water consumption condition in the step S2 is as follows:
wherein sigma represents daily useThe total standard deviation of the water conditions, n represents the data quantity of water samples, the water quantity per day is equal, and X i Water sample data representing a day,mean value of water sample data for a certain day is shown.
3. The intelligent control method of a water purifier according to claim 1, wherein the expression of the pearson coefficient similarity of the water consumption conditions of two adjacent days in the step S3 is as follows:
wherein r represents the Pelson coefficient similarity of water consumption conditions of two adjacent days, n represents the water consumption sample data quantity, the water consumption quantity of each day is equal, and X i Water sample data representing a day,mean value of water sample data for a certain day, Y i Water sample data representing adjacent days, < >>Mean value of water sample data of adjacent days is represented, σx represents standard deviation of water sample data sample of a day, and σy represents standard deviation of water sample data sample of adjacent days.
4. An intelligent control system of the intelligent control method of a water purifier as set forth in any one of claims 1 to 3, comprising:
the data acquisition module is used for acquiring the water consumption condition of fixed time, and the water consumption sample data of each day are equal;
the total standard deviation calculation module is used for calculating the total standard deviation of the daily water consumption condition according to the daily water consumption sample data;
the similarity calculation module is used for calculating the pearson coefficient similarity of the water consumption conditions of two adjacent days according to the total standard deviation of the water consumption conditions of each day;
the similarity average value calculation module is used for calculating the average value of the pearson coefficient similarity according to the pearson coefficient similarity of the water consumption conditions of the two adjacent days;
and the intelligent control module of the water purifier is used for intelligently controlling the water purifier according to the average value of the pearson coefficient similarity.
5. An electronic device comprising a memory, a processor and a computer program stored on the memory and running on the processor, the processor executing the program to implement the intelligent control method of the water purifier of any one of claims 1-3.
6. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the intelligent control method of the water purifier according to any one of claims 1 to 3.
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| WO2021004035A1 (en) * | 2019-07-05 | 2021-01-14 | 芜湖美的厨卫电器制造有限公司 | Water heater and control method thereof, and computer readable storage medium |
| CN113254862A (en) * | 2021-07-09 | 2021-08-13 | 武汉华信数据系统有限公司 | Fluid output parameter prediction method and device, electronic equipment and storage medium |
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| KR20180041963A (en) * | 2016-10-17 | 2018-04-25 | 엘지전자 주식회사 | Apparatus for controlling water purifier, water purifier and method for controlling thereof |
| CN110794690A (en) * | 2018-08-01 | 2020-02-14 | 珠海格力电器股份有限公司 | Configuration parameter determination method and device for water purifier |
| WO2021004035A1 (en) * | 2019-07-05 | 2021-01-14 | 芜湖美的厨卫电器制造有限公司 | Water heater and control method thereof, and computer readable storage medium |
| CN110934502A (en) * | 2019-12-04 | 2020-03-31 | 珠海格力电器股份有限公司 | Water dispenser control method and device, storage medium and water dispenser |
| CN113254862A (en) * | 2021-07-09 | 2021-08-13 | 武汉华信数据系统有限公司 | Fluid output parameter prediction method and device, electronic equipment and storage medium |
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