CN111025926A - Method, device and server for realizing self-cleaning - Google Patents
Method, device and server for realizing self-cleaning Download PDFInfo
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- CN111025926A CN111025926A CN201911266519.3A CN201911266519A CN111025926A CN 111025926 A CN111025926 A CN 111025926A CN 201911266519 A CN201911266519 A CN 201911266519A CN 111025926 A CN111025926 A CN 111025926A
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- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000011109 contamination Methods 0.000 claims description 17
- 230000010354 integration Effects 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 abstract description 13
- 206010063385 Intellectualisation Diseases 0.000 abstract description 4
- 238000005406 washing Methods 0.000 description 70
- 230000006870 function Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
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- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006855 networking Effects 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000012459 cleaning agent Substances 0.000 description 1
- 230000018044 dehydration Effects 0.000 description 1
- 238000006297 dehydration reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001954 sterilising effect Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application relates to the technical field of electric appliances, and discloses a method for realizing self-cleaning, which comprises the following steps: obtaining a single pollution value representing the pollution of the single operation to the equipment according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value; and triggering a self-cleaning reminder when the pollution integral value meets the condition. According to the self-cleaning reminding method and device, self-cleaning reminding can be triggered based on the obtained pollution single score and the pollution integral value, self-cleaning intellectualization is achieved, and self-cleaning accuracy is improved. The application also discloses a device and a server for realizing self-cleaning.
Description
Technical Field
The present application relates to the field of electrical appliance technologies, and for example, to a method, an apparatus, and a server for implementing self-cleaning.
Background
With the popularization of washing machines, dishwashers and other devices, the utilization rate of the devices is higher and higher, and the self-cleaning requirement of the devices is further generated.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
at present, some of washing machines, dish washers and other devices have a self-cleaning function, but the self-cleaning function can be realized only by manual operation of a user, and the self-cleaning function is often realized by the manual operation of the user at an improper and untimely time, which results in low self-cleaning accuracy.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method, a device and a server for realizing self-cleaning, so as to solve the technical problems that the self-cleaning function can be realized only by manual operation of a user, and the self-cleaning accuracy is low because the time for the user to perform the manual operation to realize the self-cleaning function is often not suitable or in time.
In some embodiments, a method for implementing self-cleaning includes: obtaining a single pollution value representing the pollution of the single operation to the equipment according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value; and triggering a self-cleaning reminder when the pollution integral value meets the condition.
In some embodiments, an apparatus for implementing self-cleaning, comprises:
the score determination module is configured to obtain a pollution single score representing pollution caused by single operation on the equipment according to the operation information of the equipment in the single operation; accumulating at least one of said pollution single scores to obtain a pollution integral value;
a triggering module configured to trigger a self-cleaning reminder when the contamination integral value satisfies a condition.
In some embodiments, the server comprises the above-described means for implementing self-cleaning.
The method, the device and the server for realizing self-cleaning provided by the embodiment of the disclosure can trigger self-cleaning reminding based on the obtained pollution single score and the pollution integral value, realize self-cleaning intellectualization and improve self-cleaning accuracy.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a flow chart of a method for implementing self-cleaning provided by a disclosed embodiment;
FIG. 2 is a schematic diagram of an operational state in which a big data platform of the disclosed embodiment pushes a self-cleaning reminder to a terminal of a washing machine;
FIG. 3 is a schematic diagram of an operational state in which a big data platform of the disclosed embodiment pushes self-cleaning reminders to a user terminal;
fig. 4 is a schematic diagram of an apparatus for implementing self-cleaning provided by a disclosed embodiment.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The disclosed embodiment provides a method for implementing self-cleaning, as shown in fig. 1, including:
s101, obtaining a single pollution value representing pollution caused by single operation to equipment according to operation information of the equipment in the single operation;
s102, accumulating at least one pollution single score to obtain a pollution integral value;
s103, when the pollution integral value meets the condition, self-cleaning reminding is triggered.
In some embodiments, the operational information includes: the type of running program, the running temperature, the running interval and the running times.
In some embodiments, the operational information further includes one or more of: the operation time point, the operation time length, the dirt degree of a cleaning object, the turbidity of the operation water body and the natural time.
In some embodiments, by calculating: d ═ smA, t, b, obtaining a single contamination score;
wherein d is the pollution single score, a is the running interval coefficient, t is the temperature coefficient, b is the program coefficient, smThe number of operation times in the mth operation is m, and m is a positive integer;
wherein, the program coefficient b is obtained according to the type of the running program; the temperature coefficient t is obtained according to the operating temperature; running interval coefficient a and running times smObtained according to the running interval.
In some embodiments, obtaining program coefficients according to the type of running program comprises: and obtaining a program coefficient corresponding to the type of the running program according to the preset corresponding relation.
In some embodiments, obtaining the temperature coefficient from the operating temperature comprises: and obtaining a temperature coefficient corresponding to the operating temperature according to a preset corresponding relation.
In some embodiments, obtaining the operation interval coefficient and the operation times according to the operation interval comprises: obtaining an operation interval coefficient and an operation interval frequency coefficient corresponding to the operation interval according to a preset corresponding relation;
by calculating sn＝sn-1*xnObtaining the operation times s of the nth operationn；
Wherein x isnIs the coefficient of the number of running intervals, s, at the nth run1N is an integer of 1 and n is more than or equal to 2.
In some embodiments, accumulating at least one pollution single score results in a pollution score value comprising: and adding at least one pollution single score, and taking the sum obtained after adding as a pollution integral value.
In some embodiments, triggering a self-cleaning alert when the contamination integration value satisfies a condition includes:
when the pollution integral value exceeds the integral value threshold value, a self-cleaning reminder is triggered.
In some embodiments, further comprising:
triggering a self-cleaning reminder when the natural time exceeds a natural time threshold;
the natural time is the interval time when the current time point is closest to the time point when the pollution integral value is counted.
In some embodiments, a single pollution score representing pollution caused by a single operation to the equipment is obtained according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value; when the natural time does not reach the second natural time threshold t2No matter whether the pollution integral value reaches the integral value threshold value or not, the self-cleaning reminding is not triggered; when the natural time reaches a second natural time threshold t2And when the pollution integral value reaches the integral value threshold value, triggering self-cleaning reminding.
In some embodiments, a single pollution score representing pollution caused by a single operation to the equipment is obtained according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value; when the pollution integral value reaches the integral value threshold value, triggering self-cleaning reminding; when the pollution integral value does not reach the integral value threshold value, whether the natural time reaches a first natural time threshold value t is judged1When the natural time reaches a first natural time threshold t1Triggering a self-cleaning reminder; wherein, t1＞t2＞0。
In some embodiments, triggering a self-cleaning alert includes: pushing the self-cleaning reminder to one or more of: a device and a user terminal.
Optionally, the self-cleaning reminder information comprises: perform a self-cleaning operation or not.
In some embodiments, after triggering the self-cleaning reminder, the method further includes: and self-cleaning is carried out according to the received instruction or the automatic trigger equipment.
In some embodiments, after triggering the self-cleaning reminder or after performing self-cleaning, the method further includes: the contamination integral value is cleared.
In some embodiments, after triggering the self-cleaning reminder or after performing self-cleaning, the method further includes: and clearing the natural time.
Alternatively, the contamination integral value and the natural time are cleared and the statistics are started again at the same time.
In some embodiments, when the self-cleaning reminding is triggered n times continuously, the self-cleaning operation is not performed, the pollution integral value and the natural time are cleared at the same time, and the statistics is started again at the same time, wherein n is larger than 1.
According to the self-cleaning method in the embodiment, the self-cleaning reminding can be triggered by the self-cleaning method provided by the embodiment of the disclosure based on the obtained pollution single score and the pollution integral value, so that the self-cleaning intelligence is realized, and the self-cleaning accuracy is improved.
The above-mentioned device may be a washing machine, a dishwasher, or other household appliances with a self-cleaning function, and the following description will be made by taking a washing machine as an example.
In some embodiments, the washing machine has a networking function, and the operation information of the washing machine is transmitted to the big data platform center through a home network. And calculating according to the operation information of the washing machine in single operation to obtain a single pollution value representing the pollution of the washing barrel caused by the operation. And accumulating at least one pollution single score to obtain a pollution integral value, comparing the pollution integral value with an integral value threshold value, and when the pollution integral value is greater than or equal to the integral value threshold value, meeting a self-cleaning condition of the washing machine and triggering a self-cleaning reminder of the washing machine.
In some embodiments, the self-cleaning reminder is pushed to the home terminal of the washing machine or the user terminal, or both, and the user performs a corresponding operation at the home terminal of the washing machine or the user terminal.
In some embodiments, the operational information includes one or more of the following: the operation time point, the program type, the operation temperature, the operation time length, the clothes dirtiness, the operation water turbidity, the operation interval and the natural time.
In some embodiments, obtaining the pollution single score according to the operation information of the washing machine in a single operation comprises: according to the influence degree of the operation program type, the operation temperature and the operation interval on the washing machine barrel, the operation times are multiplied by the coefficients corresponding to the operation program type, the operation temperature and the operation interval, namely the operation times is multiplied by the operation interval coefficient, the temperature coefficient and the program coefficient to obtain a product, and the product is used as a pollution single score.
In some embodiments, the number of runs is one per run, and data is recorded once if there are multiple runs in a day;
in some embodiments, the operation times are obtained by calculating an operation interval time coefficient, wherein the operation interval is a time difference value between the current operation starting time and the last operation ending time of the same equipment; the different time of the operation interval has different influence degrees on the operation interval time coefficient, and the corresponding operation interval time coefficient is preset according to the time of the different operation intervals, and is a comparison table of the operation interval and the operation interval time coefficient as shown in the following table; the number of runs per run factor was recorded according to the table below.
| Running interval (hours) | Coefficient of number of running intervals |
| Less than 2 hours | 0.3 |
| 2-6 | 0.5 |
| 6-10 | 0.8 |
| Over 10 hours | 1 |
In some embodiments, the washing machine is operated for the first time, the number of operations is 1; in the second operation, the operation times are the product of the first operation times and the second operation interval time coefficient; in the third operation, the operation times are the product of the second operation interval time coefficient and the third operation interval time coefficient; in the fourth operation, the operation times are the product of the second operation interval time coefficient, the third operation interval time coefficient and the fourth operation interval time coefficient; in this way, when the operation is performed for the nth time, the operation times are the product of the operation times of the (n-1) th time and the operation interval time coefficient of the nth time; wherein n is an integer, and n is not less than 2.
In some embodiments, when the calculated number of runs is less than 0.1, then the number of runs is recorded as 0.1 when the number of runs is less than 0.1, and the number of runs that follow within the day is recorded as 0.1.
In some embodiments, the total number of runs per day is calculated.
In some embodiments, the operation interval is a time difference between a current operation starting time and a last operation ending time of the same equipment; different running intervals have different time, different dirt attachment degrees are different, the greater the running interval time is, the greater the attached pollution degree is, different running intervals are preset to correspond to different running interval coefficients, yesterday data is counted every morning, and results are recorded into an integrating table; according to the scheme, the operation interval is adopted for calculation, so that the pollution single score of the washing machine cylinder pollution is calculated more accurately, and the pollution degree of the washing machine cylinder is further obtained more accurately. The following table is a run interval to run interval coefficient comparison table:
| running interval (hours) | Coefficient of running interval |
| Less than 2 hours | 0.3 |
| 2-6 | 0.5 |
| 6-10 | 0.8 |
| Over 10 hours | 1 |
In some embodiments, the washing machine starts different program types, the corresponding operation duration and rinsing times are different, the degree of contamination to the drum of the washing machine is also different, the various programs are distinguished into different types, and different program coefficients are preset and correspond to different operation program types, as shown in the following table:
| type of running program | Coefficient of procedure |
| Single drying | 0 |
| Single dehydration | 0.2 |
| Single rinse | 0.4 |
| Others | 1 |
In some embodiments, when the washing machine is in operation, the washing machine barrel has different sterilizing and descaling capacities at different temperatures, the temperatures are divided into different areas, and different operating temperatures are preset to correspond to different temperature coefficients, as shown in the following table:
| operating temperature | Temperature range | Temperature coefficient (each time) |
| Low temperature | 0-20 | 1 |
| Middle temperature | 21-40 | 1.2 |
| Transition | 40-60 | 0.8 |
| High temperature | >60 | -1 |
| NULL | 1 |
In some embodiments, controlling the self-cleaning alert according to natural time is more user-friendly due to different frequency levels of the user using the washing machine.
Alternatively, the natural time is a time difference between the current time point and the time point at which the contamination integration value has recently started to be counted. For example, in 2019, 1 month, 1 day 13: and 00, clearing the pollution integral value of the washing machine, and simultaneously counting again, wherein the natural time is two months by 3 months, 1 day and 13:00 in 2019.
In some embodiments, the natural time is determined, and when the natural time is within two months of the second natural time threshold, the washing machine self-cleaning reminder is not triggered even if the contamination integral value reaches the integral value threshold, and the washing machine self-cleaning reminder is triggered only two months after the second natural time threshold; and when the natural time reaches the first natural time threshold for six months, triggering the self-cleaning reminder of the washing machine even if the pollution integral value does not reach the integral value threshold.
In some embodiments, as shown in fig. 2, an operational status diagram is presented in which a self-cleaning reminder is pushed to a washing machine terminal for a large data platform. The big data platform calculates a pollution integral value according to the type of the running program, the running temperature, the running interval and the running times; and calculates the natural time. And when the pollution integral value or the natural time reaches the condition of triggering the self-cleaning reminding of the washing machine, namely the self-cleaning condition of the drum is met, and the washing machine is detected to be in a networking and standby state, triggering the self-cleaning reminding information of the washing machine. The popup window of the washing machine displays self-cleaning reminding information. Optionally, the washing machine self-cleaning reminder message is "your washing machine should clean! ", while" note: prompt information of taking out the clothes and closing the drum door is required. Optionally, the washing machine self-cleaning reminding message further comprises a plurality of operation programs: such as: the starting cartridge self-cleans, ignores, closes, etc. Optionally, the method comprises at least one operation of executing self-cleaning of the washing machine, by which a user can directly start a self-cleaning program of the washing machine, and one operation of not executing self-cleaning of the washing machine, and all the operation programs can exit the reminding page or the popup box. When a user executes the operation of starting the self-cleaning of the drum through the washing machine terminal, the washing machine executes the self-cleaning operation of the drum, and when the program execution is completed, namely a self-cleaning period of the washing machine is completed, the pollution integral value and the natural time are cleared and counted again at the same time. When a user executes 'ignore' or 'close' operation through a washing machine terminal, sending an unexecuted message, continuously triggering washing machine self-cleaning reminding at the next trigger point, and recording the trigger times, when the trigger times reach the set trigger times, optionally setting the trigger times to be 3 times, and the user still does not execute washing machine self-cleaning operation, namely does not detect that the washing machine performs barrel self-cleaning, and then simultaneously resetting and recounting a pollution integral value and natural time, and does not trigger washing machine reminding information until the next time meets the condition of triggering washing machine reminding.
In some embodiments, the terminal of the washing machine displays the self-cleaning reminding information of the washing machine when the washing machine is started next time and enters a standby state; optionally, after the operation is finished and before the washing machine is powered off, the washing machine terminal displays washing machine self-cleaning reminding information.
In some embodiments, as shown in fig. 3, an operational status diagram for pushing self-cleaning reminders to a user terminal for a large data platform. The big data platform calculates a pollution integral value according to the type of the running program, the running temperature, the running interval and the running times; and calculates the natural time. When the pollution integral value or the natural time reaches the condition of triggering the self-cleaning reminding of the washing machine, namely the self-cleaning condition of the drum is met, and the washing machine is detected to be in a networking and standby state, the self-cleaning reminding information of the washing machine is pushed. And the user terminal displays self-cleaning reminding information. Optionally, the self-cleaning reminder message is "your washing machine should be cleaned", while giving "notice: prompt information of taking out the clothes and closing the drum door is required. Optionally, the self-cleaning reminding message further includes a plurality of operation programs: such as: starting cartridge self-cleaning, ignoring, closing, deep cleaning, etc. When a user executes the operation of starting the self-cleaning of the drum through the user terminal, the user terminal sends a self-cleaning operation instruction of the washing machine to the washing machine, the washing machine local machine executes the self-cleaning operation of the drum, and when the program execution is completed, namely a self-cleaning period of the washing machine is completed, the pollution integral value and the natural time are simultaneously cleared and counted again. When a user executes 'ignore' or 'close' operation through a user terminal, sending an unexecuted message, continuously triggering the washing machine self-cleaning reminding at the next trigger point, recording the trigger times, when the trigger times reach the set trigger times for 3 times, the user still does not execute the washing machine self-cleaning operation, namely, the washing machine is not detected to carry out cylinder self-cleaning, simultaneously resetting and recounting the pollution integral value and the natural time, and not triggering the washing machine reminding information until the washing machine reminding condition is met for the next time. When the user performs the deep cleaning operation through the user terminal, the after-sales service platform will provide more service information to the user, such as: purchase cleaning agents, provide cleaning services, and the like. More information and better service can be provided for users, and the diversified requirements of the users are met.
In some embodiments, the user terminal displays a self-cleaning reminding message of the washing machine when the washing machine enters a standby state after being powered on.
In some embodiments, the contamination integral value and the natural time are simultaneously cleared and recounted if the washing machine performs a full cycle of the washing machine self-cleaning procedure during a timed cycle of the contamination integral value and the natural time, i.e., the trigger condition has not been met.
According to the self-cleaning method in the embodiment, the self-cleaning reminding can be triggered by the self-cleaning method provided by the embodiment of the disclosure based on the obtained pollution single score and the pollution integral value, so that the self-cleaning intelligence is realized, and the self-cleaning accuracy is improved.
The disclosed embodiment provides a device for realizing self-cleaning, the structure of which is shown in fig. 4, and the device comprises: a processor (processor)100 and a memory (memory)101 storing program instructions may also include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call program instructions in the memory 101 to perform the method for implementing self-cleaning of the above-described embodiments.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing, i.e. implements the method for implementing self-cleaning in the above-described method embodiments, by running software programs, instructions and modules stored in the memory 101.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
In some embodiments, an apparatus for implementing self-cleaning comprises:
the score determining module is configured to obtain a pollution single score representing pollution caused by single operation on the equipment according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value;
a trigger module configured to trigger a self-cleaning reminder when the contamination integral value satisfies a condition.
In some embodiments, the operational information includes: the type of running program, the running temperature, the running interval and the running times.
In some embodiments, the operational information includes one or more of the following: the operation time point, the operation time length, the dirt degree of a cleaning object, the turbidity of the operation water body and the natural time.
In some embodiments, the score determination module is configured to: by calculating: d＝smA, t, b, obtaining a single contamination score;
wherein d is the pollution single score, a is the running interval coefficient, t is the temperature coefficient, b is the program coefficient, smThe number of operation times in the mth operation is m, and m is a positive integer;
wherein, the program coefficient b is obtained according to the type of the running program; the temperature coefficient t is obtained according to the operating temperature; running interval coefficient a and running times smObtained according to the running interval.
In some embodiments, when obtaining program coefficients according to a type of running program, the score determination module is configured to: and obtaining a program coefficient corresponding to the type of the running program according to the preset corresponding relation.
In some embodiments, where the temperature coefficient is obtained from the operating temperature, the score determination module is configured to: and obtaining a temperature coefficient corresponding to the operating temperature according to a preset corresponding relation.
In some embodiments, when the running interval coefficient and the running number are obtained according to the running interval, the score determination module is configured to: obtaining an operation interval coefficient and an operation interval frequency coefficient corresponding to the operation interval according to a preset corresponding relation;
by calculating sn＝sn-1*xnObtaining the operation times s of the nth operationn；
Wherein x isnIs the coefficient of the number of running intervals, s, at the nth run1N is an integer of 1 and n is more than or equal to 2.
In some embodiments, when accumulating the at least one pollution single score to a pollution credit value, the score determination module is configured to: and adding at least one pollution single score, and taking the sum obtained after adding as a pollution integral value.
In some embodiments, the trigger module is configured to: when the pollution integral value exceeds the integral value threshold value, a self-cleaning reminder is triggered.
In some embodiments, the trigger module is configured to: triggering a self-cleaning reminder when the natural time exceeds a natural time threshold;
the natural time is the interval time when the current time point is closest to the time point when the pollution integral value is counted.
In some embodiments, the score determination module obtains a single pollution score representing the pollution of a single operation to the equipment according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value; when the natural time does not reach the second natural time threshold t2The trigger module does not trigger the self-cleaning reminder no matter whether the pollution integral value reaches the integral value threshold value or not; when the natural time reaches a second natural time threshold t2And when the pollution integral value reaches the integral value threshold value, the trigger module triggers the self-cleaning reminding.
In some embodiments, the score determination module obtains a single pollution score representing pollution caused by single operation to the equipment according to the operation information of the equipment in the single operation; accumulating at least one pollution single score to obtain a pollution integral value; when the pollution integral value reaches the integral value threshold value, the triggering module triggers self-cleaning reminding; when the pollution integral value does not reach the integral value threshold value, the triggering module judges whether the natural time reaches a first natural time threshold value t1When the natural time reaches a first natural time threshold t1Triggering a self-cleaning reminder; wherein, t1＞t2＞0。
In some embodiments, the trigger module is configured to: pushing the self-cleaning reminder to one or more of: a device and a user terminal.
Optionally, the self-cleaning reminder information comprises: perform a self-cleaning operation or not.
In some embodiments, the apparatus for implementing self-cleaning further comprises: and the self-cleaning module is configured to self-clean according to the received instruction or automatically trigger the equipment.
In some embodiments, the apparatus for implementing self-cleaning further comprises: and the clearing module is configured to clear the pollution integral value after the self-cleaning reminding is triggered or self-cleaning is carried out.
In some embodiments, the zeroing module is configured to: and after the self-cleaning reminding is triggered or self-cleaning is carried out, resetting the natural time.
Alternatively, the contamination integral value and the natural time are cleared and the statistics are started again at the same time.
In some embodiments, when the self-cleaning reminding is triggered n times continuously, the self-cleaning operation is not performed, the pollution integral value and the natural time are cleared at the same time, and the statistics is started again at the same time, wherein n is larger than 1.
According to the device for realizing self-cleaning in the embodiment, the device for realizing self-cleaning provided by the embodiment of the disclosure can trigger self-cleaning reminding based on the obtained pollution single score and the pollution integral value, so that self-cleaning intellectualization is realized, and self-cleaning accuracy is improved.
The embodiment of the disclosure provides a server, which includes the above device for implementing self-cleaning. The server can trigger self-cleaning reminding based on the obtained pollution single score and the pollution integral value, so that self-cleaning intellectualization is realized, and self-cleaning accuracy is improved.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for implementing self-cleaning.
Embodiments of the present disclosure provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described method for implementing self-cleaning.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the disclosed embodiments includes the full ambit of the claims, as well as all available equivalents of the claims. As used in this application, although the terms "first," "second," etc. may be used in this application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, unless the meaning of the description changes, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first and second elements are both elements, but may not be the same element. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method or device comprising the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be merely a division of a logical function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (14)
1. A method for implementing self-cleaning, comprising:
obtaining a pollution single score representing pollution caused by single operation to the equipment according to the operation information of the equipment in the single operation;
accumulating at least one of said pollution single scores to obtain a pollution integral value;
and triggering a self-cleaning reminder when the pollution integral value meets a condition.
2. The method of claim 1, wherein the operational information comprises:
the type of running program, the running temperature, the running interval and the running times.
3. The method of claim 2,
by calculating: d ═ smA t b, obtaining the single contamination score;
wherein d is the pollution single score, a is the running interval coefficient, t is the temperature coefficient, b is the program coefficient, smThe number of operation times in the mth operation is m, and m is a positive integer;
wherein the program coefficient b is obtained according to the type of the running program; the temperature coefficient t is obtained according to the operating temperature; the operation interval coefficient a and the operation times smAnd obtaining according to the running interval.
4. The method of claim 3, wherein obtaining program coefficients based on the type of running program comprises: and obtaining the program coefficient corresponding to the type of the running program according to a preset corresponding relation.
5. The method of claim 3, wherein obtaining a temperature coefficient based on the operating temperature comprises: and obtaining the temperature coefficient corresponding to the operating temperature according to a preset corresponding relation.
6. The method of claim 3, wherein obtaining the run interval coefficient and the number of runs from the run interval comprises: obtaining the operation interval coefficient and the operation interval frequency coefficient corresponding to the operation interval according to a preset corresponding relation;
by calculating sn＝sn-1*xnObtaining the operation times s of the nth operationn；
Wherein x isnIs the coefficient of the number of running intervals, s, at the nth run1N is an integer of 1 and n is more than or equal to 2.
7. The method of claim 1, wherein triggering a self-cleaning alert when the contamination integration value satisfies a condition comprises:
triggering the self-cleaning alert when the contamination integral value exceeds an integral value threshold.
8. The method of claim 1, further comprising:
triggering the self-cleaning reminder when the natural time exceeds a natural time threshold;
and the natural time is the interval time when the current time point is away from the latest counting of the pollution integral value.
9. The method of any one of claims 1 to 8, wherein the triggering a self-cleaning alert comprises:
pushing the self-cleaning reminder to one or more of: the device and the user terminal.
10. The method of claim 1, wherein after triggering the self-cleaning alert, further comprising:
and automatically triggering the equipment to carry out self-cleaning according to the received instruction.
11. The method of claim 10, wherein after the triggering a self-cleaning alert, or after performing the self-cleaning, further comprising:
and clearing the pollution integral value.
12. The method of claim 8, wherein after the triggering a self-cleaning alert, or after performing the self-cleaning, further comprising:
and clearing the natural time.
13. An apparatus for implementing self-cleaning, comprising:
the score determination module is configured to obtain a pollution single score representing pollution caused by single operation on the equipment according to the operation information of the equipment in the single operation; accumulating at least one of said pollution single scores to obtain a pollution integral value;
a triggering module configured to trigger a self-cleaning reminder when the contamination integral value satisfies a condition.
14. A server, characterized in that it comprises the apparatus of claim 13.
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