CN111172707A - Detergent feeding control method and washing machine - Google Patents
Detergent feeding control method and washing machine Download PDFInfo
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- CN111172707A CN111172707A CN201811239285.9A CN201811239285A CN111172707A CN 111172707 A CN111172707 A CN 111172707A CN 201811239285 A CN201811239285 A CN 201811239285A CN 111172707 A CN111172707 A CN 111172707A
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Abstract
The invention discloses a detergent putting control method, which comprises the following steps: the washing machine determines water hardness information; the washing machine acquires the weight information of clothes put by a user; the washing machine determines the degree of contamination of the laundry; the washing machine matches a detergent putting algorithm corresponding to the dirt degree according to the dirt degree of the clothes; the washing machine automatically operates and puts in detergent with corresponding dosage. The invention has the beneficial effects that: the change of the washing environment, the change of the model program and the change of the type of the detergent can be considered, the better cleaning effect is achieved, and the whiteness maintenance effect under heavy sewage is improved.
Description
Technical Field
The invention relates to the field of washing machines, in particular to a detergent feeding control method and a washing machine.
Background
In recent years, with the upgrading of the intelligent industry of the washing machine industry, the two important directions of the intelligent putting of the detergent and the control of the internet of things are regarded as the intellectualization of the washing machine, and the attention of washing machine enterprises is paid. Traditional washing machine is mainly through artificially adding the detergent to putting in the box, and consumer's demand to washing machine product intelligence and hommization can't be satisfied to such mode, and very easily produce and put in the error, cause the clothing to wash unclean or the remaining excess of detergent. In addition, the consumption of different detergents varies according to the difference in water hardness, the amount of laundry, and the degree of contamination of laundry, and the difference in the washing environments of users causes a lot of troubles in the administration of detergents by consumers.
In order to solve the trouble of putting detergents into consumers and achieve the best washing effect, and fundamentally avoid the multiple waste of the detergents and water and electricity resources caused by manual misputting, many washing machine enterprises begin to pay attention to and research and develop intelligent detergent putting schemes, but most of the washing machine enterprises focus on the improvement and research and development of intelligent putting devices and control methods, the actual washing environment of the consumers is not considered too much, and the washing machine enterprises have certain limitations. In addition, most of the settings for the dosage of the detergent are based on the main evaluation of the cleaning effect, and the whiteness maintaining effect of light-colored clothes when the degree of dirt is serious and after multiple times of washing is not considered.
By using the intelligent detergent feeding technology, the change of the washing environment, the change of the model program and the change of the detergent types of a user can be considered, a better cleaning effect is achieved, and the whiteness maintenance effect under heavy pollution is improved.
Disclosure of Invention
An object of the present invention is to provide a detergent feeding control method and a washing machine, which can achieve a better cleaning effect and improve a whiteness maintenance effect under heavy stains while taking into consideration changes in a user's washing environment, a machine type program, and detergent types.
Specifically, the invention is realized by the following technical scheme:
a detergent dispensing control method, the method comprising the steps of:
s1: the washing machine determines water hardness information;
s2: the washing machine acquires the weight information of clothes put by a user;
s3: the washing machine determines the degree of contamination of the laundry;
s4: the washing machine matches a detergent putting algorithm corresponding to the dirt degree according to the dirt degree of the clothes;
s5: the washing machine automatically operates and puts in detergent with corresponding dosage.
Preferably, the step S1 includes:
s1': the washing machine automatically acquires water hardness information of an area where the washing machine is located through a network;
the step S2 includes:
s2': the washing machine acquires the weight information of the clothes put in by a user in a weight sensor or motor rotating and weighing mode;
the step S3 includes:
s3': the washing machine receives information of a degree of contamination of laundry autonomously selected by a user.
Preferably, the degree of soiling of the laundry includes light soiling, medium soiling and heavy soiling, and the step S4 includes:
s4': if light dirty then matches the intelligent algorithm of puting in of light dirty has been selected, if selected in dirty then matches the intelligent algorithm of puting in dirty, if selected heavily dirty then matches the intelligent algorithm of puting in dirty.
Preferably, the light pollution intelligent delivery algorithm, the medium pollution intelligent delivery algorithm and the heavy pollution intelligent delivery algorithm are determined by a delivery algorithm table pre-stored in a delivery algorithm memory.
Preferably, the step S1' includes:
s11': starting the washing machine;
s12': the washing machine obtains a detergent putting signal;
s13': the washing machine judges whether the geographical position information is stored in the geographical position storage, if so, S17 'is executed, and if not, S14' is executed;
s14': displaying the geographical location information;
s15': acquiring position judgment information;
s16': judging whether the position judgment information is position positive information or position negative information, if the position judgment information is the position negative information, executing S17 ', and if the position judgment information is the position positive information, executing S19';
s17': relocation is performed, and then S18' is performed;
s18': saving the relocated location information in the geographical location memory, and then returning to S14';
s19': water hardness information is acquired based on the positioning information, and then S2' is executed.
Preferably, the step S2' includes:
s21': judging whether the difference value between the current weighing index and the preset weighing index is larger than a preset first difference value or not, if so, executing S22 ', otherwise, executing S23';
s22': taking the difference value of the current weighing index and the preset weighing index as the weight of the clothes, and then executing S3';
s23': the door lock is prohibited from being closed, and thereafter, the flow returns to S21'.
Preferably, the S17' includes:
the washing machine and the cloud server are connected through a network, and the cloud server acquires the geographical position of the washing machine.
Preferably, the S19' includes:
s191': judging whether water hardness information corresponding to the corresponding position information is stored in the water hardness memory, if so, executing S194 ', otherwise, executing S192';
s192': detecting water hardness;
s193': storing the water hardness detection result into a water hardness memory;
s194': the stored water hardness information is obtained.
Preferably, the step S192' includes: a conductivity sensor is arranged on the washing machine, and the conductivity sensor arranged on the washing machine is used for measuring the conductive ion quantity of tap water so as to determine the water hardness of the tap water.
A washing machine using the detergent putting control method is provided.
The invention has the beneficial effects that: the change of the washing environment, the change of the model program and the change of the type of the detergent can be considered, the better cleaning effect is achieved, and the whiteness maintenance effect under heavy sewage is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a logic diagram of a detergent feeding control method according to an embodiment of the present invention;
FIG. 2 is a logic diagram of a detergent dispensing control method according to a second embodiment of the present invention;
FIG. 3 is a logic diagram of a detergent dispensing control method according to a third embodiment of the present invention;
FIG. 4 is a logic diagram of a detergent dispensing control method according to a fourth embodiment of the present invention;
fig. 5 is a logic diagram of a detergent feeding control method according to a fifth embodiment of the present invention;
fig. 6 is a graph of recommended detergent usage versus intelligent dosing algorithm usage whiteness maintenance under medium and heavy duty conditions.
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 invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present invention. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The present invention will be described in detail below by way of examples.
Fig. 1 is a detergent dispensing control method according to an embodiment of the present invention, where the method includes the steps of:
s1: the washing machine determines water hardness information.
S2: the washing machine acquires information on the weight of laundry put by a user.
S3: the washing machine determines the degree of contamination of the laundry.
S4: the washing machine matches a detergent putting algorithm corresponding to the dirt degree according to the dirt degree of the clothes.
S5: the washing machine automatically operates and puts in detergent with corresponding dosage.
Specifically, fig. 2 is a detergent feeding control method provided in the second embodiment of the present invention, and on the basis of the first embodiment, the step S1 includes:
s1': the washing machine automatically acquires water hardness information of an area where the washing machine is located through a network.
Specifically, the washing machine provided by the embodiment of the invention comprises a communication module such as a WIFI module, network connection can be established with a cloud server through the communication module, and after the network connection is established, the cloud server acquires an IP address allocated by the washing machine, so that the geographical position of the washing machine is determined.
The washing machine can also obtain water quality data corresponding to the geographical position of the washing machine in the cloud server. The cloud server stores water quality data of a plurality of geographic positions, such as water hardness and water pH value.
Specifically, the water quality data of each geographical location stored in the cloud server may be obtained by:
as a specific embodiment, the system cloud server may obtain the water quality data of each geographic location through the public service information, for example, the cloud server legally calls the water quality data of each area on the china water conservancy network, the china environmental protection network, and the china environment monitoring central office, and then the cloud server determines the water quality data corresponding to the geographic location according to the geographic location of the washing machine and sends the water quality data to the washing machine, so that the washing machine may obtain the water quality data of the geographic location.
Or the cloud server receives water sample detection data of a plurality of geographic positions to acquire water quality data corresponding to each geographic position. For example, water samples in all regions are collected to be detected, detected water quality data are sent to a cloud server, or water quality daily inspection data of tap water companies in all regions are uploaded to the cloud server, and then the cloud server acquires the water quality data of all geographic positions.
Or, the cloud server communicates with the water appliances at multiple geographical positions, such as a water purifier and a water heater, to obtain a dish washer, wherein the water appliances comprise a water quality sensor, the water quality sensor is used for detecting the water quality of the geographical position of the water appliance and generating water detection information, and then the water appliances send the water detection information to the cloud server, so that the cloud server obtains the water quality data of each geographical position according to the water detection data fed back by the water appliances. Specifically, when the water household appliances are working, such as a water purifier, a water heater and a dish washer, local water quality is detected and detection data is generated through a water quality sensor of the water household appliances, then the water quality detection information is uploaded to a cloud server through a communication unit integrated on the water household appliances, such as a wifi channel, the cloud server can determine the origin area of the water quality detection information according to the IP address analysis of the water household appliances requesting this time, then the current water hardness information and the area are correspondingly recorded in a database table, the real-time water hardness information of all areas across the country is uploaded, and the latest water quality data of all areas can be continuously collected and recorded in the database table of the cloud server. After the washing machine is in network connection with the cloud server, the water quality data of the current geographical position of the washing machine can be synchronized to the washing machine through a network by directly using the water quality database table of the cloud server, and the water quality data can be used for subsequent analysis and processing of the washing machine.
It can be understood that the cloud server can obtain the water quality data in the above mode, the real-time performance is strong, and the water quality data is relatively more accurate.
Specifically, the step S2 includes:
s2': the washing machine obtains the weight information of the clothes put by the user through a weight sensor or a motor rotating and weighing mode.
Specifically, the step S3 includes:
s3': the washing machine receives information of a degree of contamination of laundry autonomously selected by a user.
Specifically, the step S4 includes:
s4': if the intelligent throwing algorithm for matching light pollution is selected, the intelligent throwing algorithm for matching medium pollution is selected, and if the intelligent throwing algorithm for matching medium pollution is selected, the intelligent throwing algorithm for matching heavy pollution is selected.
Specifically, the light pollution intelligent release algorithm, the medium pollution intelligent release algorithm and the heavy pollution intelligent release algorithm are determined by a release algorithm table pre-stored in a release algorithm memory.
Further, fig. 3 is a detergent feeding control method provided by a third embodiment of the present invention, and on the basis of the second embodiment, the step S1' includes:
s11': the washing machine is started.
S12': the washing machine obtains a detergent feeding signal.
S13': the washing machine judges whether the geographical position information is stored in the geographical position memory, if so, executes S17 ', otherwise, executes S14'.
S14': and displaying the geographical position information.
S15': position decision information is obtained.
S16': the position decision information is judged to be the position positive information or the position negative information, if the position decision information is the position negative information, the step of S17 'is executed, and if the position decision information is the position positive information, the step of S19' is executed.
S17': relocation is performed, and then S18' is performed.
The method comprises the steps that the geographical position of the washing machine is obtained, specifically, the name of each province, each autonomous region and each municipality in China can be stored in the washing machine by taking China as an example, or the storage is divided by taking a city-level city or a county-level city as a minimum unit more carefully, and then the geographical position of the washing machine when the washing machine is used is selected by a user through a touch screen of the washing machine; the geographical position of the washing machine during operation can also be input into the washing machine by the user through numeric keys or letter keys.
The hardness of water used when the washing machine works and the adding amount of the detergent corresponding to the hardness of the water can be determined according to the geographical position of the washing machine obtained by the washing machine by storing the hardness of the water in different geographical positions in the washing machine, so that the problem that the washing machine in the prior art is high in production cost is solved, and the effect of reducing the production cost of the washing machine is achieved.
S18': the relocated location information is saved in the geographical location memory, and thereafter, the process returns to S14'.
S19': water hardness information is acquired based on the positioning information, and then S2' is executed.
It can be understood that the water quality corresponding to different geographical position information is different due to the influence of climate, geographical features, sun illumination, covering vegetation variety, ground human activities and the like. For example, the water hardness information corresponding to the geographical location information of the chemical plant is different from the water hardness information, suspended matter, ph value, and the like corresponding to the geographical location information of the vegetation covered.
Therefore, in the present embodiment, in order to perform a corresponding treatment on laundry according to water quality, it is necessary to know the water quality parameter corresponding to the geographical location information from the geographical location information.
Wherein, the water hardness information comprises parameters influencing the washing effect, such as the pH value, the temperature, the mineral content, suspended matters, total solids, total hardness, chloride, carbonate, sulfate and the like of the washing water.
It should be noted that, according to different application scenarios, the water quality parameter corresponding to the geographical location information is obtained according to the geographical location information in different manners, which is exemplified as follows:
the water hardness information corresponding to the current geographical position information can be detected according to a chip and the like stored in the washing machine, and the corresponding water quality parameters can be obtained. It is also possible to acquire water hardness information of a plurality of areas in advance according to a large number of experiments and store the same in corresponding locations of the washing machine. Accordingly, water hardness information corresponding to a locally stored area corresponding to the geographical location information is queried according to the geographical location information.
For example, if the geographical location information of the washing machine is acquired as city a, a locally stored area corresponding to city a is queried, and the water quality corresponding to the area is acquired. Further, water hardness information of a plurality of areas may be acquired in advance according to a large number of experiments and stored on a server or a third party platform. Therefore, according to the geographical position information, the water hardness information which is stored by the server or a third party and corresponds to the area corresponding to the geographical position information is inquired.
Specifically, the washing machine may be weighed by any existing washing machine laundry weighing technique.
Further, fig. 4 is a detergent feeding control method according to a fourth embodiment of the present invention, and on the basis of the third embodiment, the step S2' includes:
s21': and judging whether the difference value between the current weighing index and the preset weighing index is larger than a preset first difference value or not, if so, executing S22 ', otherwise, executing S23'.
S22': the difference between the current weighing index and the preset weighing index is taken as the laundry weight, and then S3' is performed.
S23': the door lock is prohibited from being closed, and thereafter, the flow returns to S21'.
Specifically, the S17' includes:
the washing machine and the cloud server are connected through a network, and the cloud server acquires the geographical position of the washing machine.
Specifically, fig. 5 is a detergent feeding control method provided in a fifth embodiment of the present invention, and on the basis of the fourth embodiment, the step S19' includes:
s191': it is determined whether or not the water hardness information corresponding to the corresponding position information is stored in the water hardness memory, if so, S194 'is executed, and if not, S192' is executed.
S192': water hardness was measured.
A conductivity sensor may be provided on the washing machine, and the water hardness of the tap water may be determined by measuring the amount of conductive ions of the tap water through the conductivity sensor provided on the washing machine.
Setting the water hardness to be r0, and if r0 is less than or equal to r1, determining that the water hardness type of the geographical position of the washing machine is soft water; if r1 < r0 < r2, determining that the water hardness type of the geographical position of the washing machine is normal water; if r2 < r0 < r3, determining that the water hardness type of the geographical position of the washing machine is hard water; if r3 < r0, it is determined that the water hardness type of the geographical location where the washing machine is located is very hard water, wherein r1 is a division point of water hardness corresponding to soft water and general water, r2 is a division point of water hardness corresponding to general water and hard water, and r3 is a division point of water hardness corresponding to hard water and very hard water, and values of r1, r2, and r3 may be 60ppm, 120ppm, and 200ppm, respectively, in an embodiment of the present invention.
S193': and saving the water hardness detection result to a water hardness memory.
S194': the stored water hardness information is obtained.
By combining the above scheme, taking a mixed washing program of an 8kg drum washing machine as an example, using a certain brand of bright and white brightening common laundry detergent, and performing experimental and theoretical research to obtain a part of intelligent light-dirty, medium-dirty and heavy-dirty throwing algorithm table as follows:
intelligent detergent putting algorithm table
The invention provides an intelligent detergent feeding technology for a drum washing machine based on a user washing environment, which can intelligently feed proper amount of detergent according to water hardness, load clothes weight and self-selected clothes dirt degree of a user in a region where the user is located aiming at different drum washing machine models, washing programs and detergents.
Taking a mixed washing program of an 8kg roller washing machine as an example, a certain brand of bright and white brightening common laundry detergent is used, if the water hardness of a region where a user is located is 250ppm, 5kg of loaded clothes are washed, if the user selects light dirt, 53ml of detergent is put in, if the user selects medium dirt, 69ml of detergent is put in, and if the user selects heavy dirt, 80ml of detergent is put in.
The intelligent putting technology can meet the requirement that under the conditions of various water hardness, loaded clothes weight and dirt degree, the comprehensive cleaning effect of various common stains in life can be equivalent to the cleaning effect which can be achieved by the putting amount of the detergent recommended under the clothes weight in the area with soft water hardness (such as Shanghai), and the technology can also obviously improve the yellowing phenomenon of light-colored clothes (such as white shirts) under the heavy dirt condition, namely, the whiteness maintaining effect of the clothes under the heavy dirt condition is improved.
In the invention, for a specific detergent, corresponding detergent intelligent feeding algorithm tables with light pollution, medium pollution and heavy pollution can be stored in a main board of the washing machine in advance.
When the washing program is operated, the washing machine automatically matches a corresponding input amount algorithm table according to the water hardness and the load clothes weight of the area where the washing machine is located and the selection (light dirt, medium dirt and heavy dirt) of the dirt degree by a user, and inputs corresponding dosage of detergent.
Theoretical analysis and series of experimental researches show that the intelligent feeding algorithm table under different water hardness, clothes load weight and dirt degree is obtained by taking the recommended clothes weight of the detergent, the comprehensive cleaning effect of various stains under the corresponding feeding amount and the whiteness maintaining effect of white fabrics under heavy dirt as qualified standards in areas with soft water hardness (such as Shanghai).
The final washing effect of the intelligent putting algorithm technology can realize the effect that the comprehensive washing effect of various stains is equivalent to the washing effect under the recommended dosage of the detergent, and can remarkably improve the whiteness maintenance effect of light-colored clothes under heavy stains.
It was found through studies that under the washing program and the detergent, when the water hardness is 134ppm (i.e. hardness of the Shanghai tap water) and the load of clothes is 3 kg:
1. for heavy stains, the dosage of the detergent is increased, and the comprehensive cleaning effect of various stains and stains is not obviously improved, but is the same as the cleaning effect of the recommended dosage of the detergent.
As shown in fig. 6, compared with the recommended dosage, the whiteness maintenance effect of the white cotton fabric and the polyester fabric is respectively improved by 60.0% and 55.1% under the obtained medium-sewage input amount; under the condition of the obtained heavy sewage input amount, the whiteness maintaining effect of the cotton and the terylene is respectively improved by 52.9 percent and 15.6 percent.
The invention also provides a washing machine using the detergent feeding control method.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A detergent dispensing control method, characterized in that the method comprises the steps of:
s1: the washing machine determines water hardness information;
s2: the washing machine acquires the weight information of clothes put by a user;
s3: the washing machine determines the degree of contamination of the laundry;
s4: the washing machine matches a detergent putting algorithm corresponding to the dirt degree according to the dirt degree of the clothes;
s5: the washing machine automatically operates and puts in detergent with corresponding dosage.
2. The detergent dispensing control method according to claim 1, wherein the step S1 includes:
s1': the washing machine automatically acquires water hardness information of an area where the washing machine is located through a network;
the step S2 includes:
s2': the washing machine acquires the weight information of the clothes put in by a user in a weight sensor or motor rotating and weighing mode;
the step S3 includes:
s3': the washing machine receives information of a degree of contamination of laundry autonomously selected by a user.
3. The detergent dispensing control method according to claim 2, wherein the degree of soiling of the laundry includes light soiling, medium soiling, and heavy soiling, and the step S4 includes:
s4': if light dirty then matches the intelligent algorithm of puting in of light dirty has been selected, if selected in dirty then matches the intelligent algorithm of puting in dirty, if selected heavily dirty then matches the intelligent algorithm of puting in dirty.
4. The detergent dispensing control method according to claim 3, wherein the smart light pollution dispensing algorithm, the smart medium pollution dispensing algorithm and the smart heavy pollution dispensing algorithm are determined from a dispensing algorithm table pre-stored in a dispensing algorithm memory.
5. The detergent dispensing control method according to claim 4, wherein the step S1' includes:
s11': starting the washing machine;
s12': the washing machine obtains a detergent putting signal;
s13': the washing machine judges whether the geographical position information is stored in the geographical position storage, if so, S17 'is executed, and if not, S14' is executed;
s14': displaying the geographical location information;
s15': acquiring position judgment information;
s16': judging whether the position judgment information is position positive information or position negative information, if the position judgment information is the position negative information, executing S17 ', and if the position judgment information is the position positive information, executing S19';
s17': relocation is performed, and then S18' is performed;
s18': saving the relocated location information in the geographical location memory, and then returning to S14';
s19': water hardness information is acquired based on the positioning information, and then S2' is executed.
6. The detergent dispensing control method according to claim 5, wherein the step S2' includes:
s21': judging whether the difference value between the current weighing index and the preset weighing index is larger than a preset first difference value or not, if so, executing S22 ', otherwise, executing S23';
s22': taking the difference value of the current weighing index and the preset weighing index as the weight of the clothes, and then executing S3';
s23': the door lock is prohibited from being closed, and thereafter, the flow returns to S21'.
7. The detergent dispensing control method according to claim 6, wherein the S17' includes:
the washing machine and the cloud server are connected through a network, and the cloud server acquires the geographical position of the washing machine.
8. The detergent dispensing control method according to claim 7, wherein the S19' includes:
s191': judging whether water hardness information corresponding to the corresponding position information is stored in the water hardness memory, if so, executing S194 ', otherwise, executing S192';
s192': detecting water hardness;
s193': storing the water hardness detection result into a water hardness memory;
s194': the stored water hardness information is obtained.
9. The detergent dispensing control method according to claim 8, wherein the step S192' includes: a conductivity sensor is arranged on the washing machine, and the conductivity sensor arranged on the washing machine is used for measuring the conductive ion quantity of tap water so as to determine the water hardness of the tap water.
10. A washing machine characterized by using the detergent dosage control method according to any one of claims 1 to 9.
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| CN113914059A (en) * | 2020-07-09 | 2022-01-11 | 无锡小天鹅电器有限公司 | Detergent feeding control method, device, equipment and storage medium |
| CN113957662A (en) * | 2021-09-16 | 2022-01-21 | 珠海格力电器股份有限公司 | Detergent feeding method, device and system, electronic equipment and storage medium |
| CN114606710A (en) * | 2020-12-09 | 2022-06-10 | 青岛海尔洗衣机有限公司 | Intelligent terminal and method for recommending washing and protecting program by intelligent terminal |
| WO2022218180A1 (en) * | 2021-04-14 | 2022-10-20 | 青岛海尔洗衣机有限公司 | Method for controlling additive feeding apparatus, and additive feeding apparatus |
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