JPH05211966A - Vacuum cleaner - Google Patents

Abstract

PURPOSE:To make it possible to clean with a suction power being fitted to the home of a user by determining elaborately the number of rotation of a fan motor fitted with the amt. of refuse, the quality of refuse and characteristics of a floor surface. CONSTITUTION:A refuse amt. detecting device 6 detecting the amt. of refuse from the output of a refuse sensor 1, a refuse quality detecting device 7 detecting the quality of refuse, a refuse-changing rate detecting device 8 detecting the rate of change of refuse, a fuzzy reasoning device 9 performing fuzzy reasoning from the outputs of the refuse amt. detecting device 6, the refuse quality detecting device 7 and the refuse-changing rate detecting device 8, and determining the number of rotation of a fan motor 12 and a storing device 10 storing reasoned operational results at every specified time and outputting them to the fuzzy reasoning device 9, are provided. In addition, the fuzzy reasoning device 9 changes the rule for reasoning the number of rotation in accordance with the content stored in the storing device 10 and determines elaborately the number of rotation of the fan motor 12.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an electric vacuum cleaner which is used in general households and which automatically adjusts the suction force by detecting dust on the floor surface.

[0002]

2. Description of the Related Art Conventionally, a vacuum cleaner of this type generally has a structure as shown in FIG. The configuration will be described below.

As shown in the drawing, a hose 24, an extension pipe 25 and a floor nozzle 26 are attached to a suction port 23 of a cleaner body 22.
Are connected. A hand switch 27 is provided at the tip of the hose 24, and by operating the hand switch 27, the rotation speed of the fan motor 28 disposed in the cleaner body 22 is controlled.

[0004]

In such a conventional vacuum cleaner, when cleaning, the user judges the material of the floor surface, the amount of dust, and the quality of dust, and the preset hand switch 27 is used. I was pushing the position button. In addition, it is repeated every time cleaning is performed, and there is a problem that the user's hand is troubled.

The present invention is intended to solve the above-mentioned problems. The number of rotations of a fan motor is finely determined in accordance with the amount of dust, the quality of dust, and the characteristics of the floor surface, and cleaning is performed with a suction force suitable for the user's home. The purpose is to provide a vacuum cleaner that can.

[0006]

In order to achieve the above object, the present invention provides a fan motor for sucking dust, a dust sensor for detecting dust on the floor, and a dust amount from the output of the dust sensor. Of the waste amount detecting means for detecting, the waste quality detecting means for detecting the waste quality, the waste change rate detecting means for detecting the change rate of the waste, the waste amount detecting means, the waste quality detecting means and the waste change rate detecting means The fuzzy reasoner includes a fuzzy reasoner that determines the number of rotations of the fan motor by performing a fuzzy reasoning from an output, and a storage unit that stores the inferred calculation result at a predetermined time and outputs the result to the fuzzy reasoner. The problem solving means is that the rotation speed inference rule is changed according to the stored contents of the storage means.

[0007]

According to the present invention, the number of revolutions of the fan motor can be determined by the fuzzy inference from the outputs of the amount of dust, the quality of dust, and the rate of change of dust (characteristics of the floor) by the above-mentioned means for solving the problem. Since the calculated calculation result is stored and the rotation speed inference rule is changed, the rotation speed of the fan motor suitable for the user's home can be determined more finely.

[0008]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to FIGS.

As shown in the figure, the dust sensor 1 is provided in a part of a suction hose, and the light emitting portion 2 and the light receiving portion 3 are arranged so as to face each other, and the sucked dust always passes between them. Is configured as follows. The signal of the light receiving unit 3 is amplified by the amplifying unit 4, the waveform is shaped by the pulse converting unit 5, and the result is input to the dust amount detecting unit 6, the dust quality detecting unit 7, and the dust change rate detecting unit 8. The dust amount detecting means 6 detects the dust amount by calculating an integrated amount of the sucked dust for a predetermined time.
The dust quality detection means 7 is a dust sensor 1 for the dust that has been sucked in.
The time required to pass between the two is measured to detect dust quality. The dust change rate detecting means 8 detects the change rate of the sucked dust for a predetermined time and detects the characteristic of the floor surface. The fuzzy inference unit 9 performs fuzzy inference based on the outputs of the dust amount detecting unit 6, the dust quality detecting unit 7, and the dust change rate detecting unit 8. The storage means 10 stores the calculation result inferred by the fuzzy reasoner 9 at predetermined time intervals, and outputs the result to the fuzzy reasoner 9 when a predetermined time elapses. The control means 11 controls the rotation speed of the fan motor 12 based on the output of the fuzzy reasoner 9.

The fuzzy reasoner 9 is constructed as shown in FIG. 2, and the antecedent part membership function storage means 13 is
It remembers membership functions related to waste volume, waste quality, and waste change rate. Waste amount compatibility calculation means 14, waste quality compatibility calculation means 15, waste change rate compatibility calculation means 16
Calculates the degree of conformity between the membership function relating to the waste amount, the waste quality, and the waste change rate stored in the antecedent part membership function storage means 13 and the input waste amount, waste quality, and waste change rate. .. Further, the stored contents of the storage means 10 are input to the waste amount adaptability calculating means 14, the waste quality adaptability calculating means 15, and the waste change rate adaptability calculating means 16. The antecedent part minimum calculating means 17 takes the MINs of the three suitability levels which are the outputs of the waste amount adaptability calculating means 14, the waste quality adaptability calculating means 15, and the waste change rate adaptability calculating means 16 to obtain the To conclude. The suction force inference rule storage unit 18 stores the inference rule regarding the suction force. The suction force membership function storage means 19 stores the membership function relating to the suction force of the consequent part. In accordance with the inference rules stored in the consequent part minimum operation means 20 and the suction force inference rule storage means 18, the antecedent part conclusion and the suction force membership function of the consequent part stored in the suction force membership function storage means 19 The MIN of the function is taken to conclude the rule. The center-of-gravity means 21 finally obtains the suction force by obtaining the respective conclusions for all the rules, then taking the MAX of all the conclusions, and calculating the center of gravity thereof.

The operation of the above structure will be described. The light emitted from the light emitting portion 2 of the dust sensor 1 can be received by the light receiving portion 3 when there is no dust, but is blocked when the dust has passed therethrough. No light can be received at 3. Therefore, the presence or absence of dust can be determined from the output of the light receiving unit 3. In the dust amount integrating means 6, the signals amplified by the amplifying unit 4 and waveform-shaped by the pulse converting unit 5 are integrated for a fixed time (for example, 0.1 seconds). By integrating, the amount of dust on the floor at that time can be detected.

FIG. 3 shows a pulse waveform of dust detected by the dust sensor 1. FIG. 3 (a) shows a pulse waveform when sucking cotton dust, and FIG. 3 (b) shows a pulse waveform when sucking sand dust. Therefore, by detecting this pulse waveform by the dust quality detection means 7,
It is possible to detect the quality of the inhaled dust whether it is large and light like cotton dust or small and heavy like sand dust.

Next, FIG. 4 shows the degree of change in the integrated value of the amount of dust when cleaning is continuously performed. From the start of cleaning in FIG. 4 to T2, the amount of dust is reduced at a stretch, which indicates that dust on the floor surface has been removed. Moreover, after T2, it is largely divided as shown in (a), (b), and (c) depending on how the waste is removed. In the case of FIG. 4 (c), the integrated value of dust is almost 0, which means that almost all the waste has been removed by T2. This is the case when the floor surface to be cleaned is a wooden floor, cushion floor, tatami mat, or the like. In addition, when the floor surface is a carpet, dust is buried between the hairs, and generally, the amount of dust is relatively large and difficult to remove as compared with a wooden floor or tatami mat. That is, as shown in FIGS. 4 (a) and 4 (b), the integrated value of the amount of waste gradually decreases. In this way, the change rate of the amount of waste is detected by the waste change rate detection means 8
When detected by, it is possible to infer the characteristics of the floor surface currently being cleaned. A small rate of change in the amount of waste indicates that it is a floor surface such as a carpet, and a large rate of change in the amount of waste means that it is a wooden floor, a cushion floor,
It indicates that the floor is a tatami mat or the like.

The optimum suction force for cleaning is determined by the amount of dust on the floor, the quality of dust, the characteristics of the floor, etc. The amount of dust detecting means 6, the dust quality detecting means 7, and the dust change rate calculating means. Fuzzy inference is performed by the fuzzy inference unit 9 from the output value of 8 and the storage content of the storage unit 10, and the control unit 11 controls the rotation speed of the fan motor 12 based on the result.

Next, the process of inferring the suction force will be described. The inference rule of the fuzzy inference according to the present embodiment is a general judgment such as "if the amount of waste is large, the quality of waste is large like cotton waste, and the rate of change of waste is large like carpet, the suction force is set to be very large". It is formed based on. The amount of waste is "large", the quality of waste is "small",
The rate of change of waste is "large" or the suction force is "large"
Such a qualitative concept is quantitatively expressed by membership functions as shown in Fig. 5 (a), (b), (c), and (d). In the waste amount compatibility calculation means 14, the waste amount detection means 6
Input from and the antecedent part membership function storage means 13
Find the goodness of fit for the membership function of the amount of waste stored in. At this time, the waste amount adaptability calculating means 14
At the same time, an indexed value (for example, 0.2 to 5) of the inferred calculation result stored in the storage means 10 is input at the same time, and the index is corrected by the indexed value when the compatibility is obtained. In this correction, the fitness is calculated using the ratio of the output of the dust amount detection means 6 and the average value of the indexed values. Similarly,
The waste quality adaptability calculating means 15 obtains the suitability from the waste quality detecting means 7 and the waste quality membership function stored in the antecedent part membership function storage means 13. At this time, a value obtained by indexing the inferred calculation result stored in the storage means 10 is simultaneously input to the waste quality adaptability calculating means 15 and is corrected by the average value of the waste quality when determining the adaptability. .. Further, the garbage change rate conformity calculation means 16 obtains the degree of conformity with respect to the input from the garbage change rate detection means 8 and the membership function of the garbage change rate stored in the antecedent part membership function storage means 13. At this time, the waste change rate compatibility calculation means 16
A value obtained by indexing the inferred calculation result stored in the storage means 10 is input at the same time, and when the degree of conformity is obtained, the value is corrected by the average value of the dust change rate.

The antecedent part minimum computing means 17 takes the MINs of these conformances and makes the conclusion of the antecedent part. In the consequent part minimum computing means 20, according to the rules stored in the suction force inference rule storage means 18, the conclusion of the antecedent part and the suction force membership of the consequent part stored in the suction force membership function storage means 19 The MIN of the function is taken to conclude the rule. After obtaining the respective conclusions for all the rules, the centroid calculating means 21 takes MAX of all the conclusions and calculates the centroids thereof to finally obtain the suction force. The phase control means 11 calculates and controls the phase control amount of the fan motor 12 based on the determined suction force.

As described above, according to the vacuum cleaner of the embodiment of the present invention, the number of revolutions of the fan motor 12 is fuzzy inferred from the outputs of the dust amount detecting means 6, the dust quality detecting means 7 and the dust change rate detecting means 8. The fuzzy reasoner 9 that determines
The rotation speed inference rule is changed according to the stored contents of the storage means that stores the inferred calculation result at every predetermined time. Therefore, the rotation speed of the fan motor can be determined more finely and suits the user's home. It is possible to provide an electric vacuum cleaner that can be cleaned with suction force and has a very good operation feeling.

In the above embodiment, the contents stored in the storage means 10 are input to the waste amount adaptability calculating means 14, the waste quality adaptability calculating means 15, and the waste change rate adaptability calculating means 16, and the respective inputs and the antecedent are input. The membership functions stored in the partial membership function storage unit 13 are corrected when the fitness is calculated, but each membership function may be corrected.

[0019]

As is apparent from the above embodiments, according to the present invention, a fan motor for sucking dust, a dust sensor for detecting dust on the floor surface, and an amount of dust from the output of the dust sensor are used. Of the waste amount detecting means for detecting, the waste quality detecting means for detecting the waste quality, the waste change rate detecting means for detecting the change rate of the waste, the waste amount detecting means, the waste quality detecting means and the waste change rate detecting means A fuzzy reasoner that determines the number of revolutions of the fan motor by performing fuzzy inference from the output,
Storage means for storing the inferred calculation result at a predetermined time interval and outputting the result to the fuzzy reasoner, and the fuzzy reasoner changes the rotation speed inference rule according to the contents stored in the storage means. By determining the rotation speed of the fan motor in detail, cleaning can be done efficiently with no hassle, cleaning can be done with suction power that suits the user's home, and it is necessary to repeatedly press the position button of the hand switch. Thus, it is possible to provide an electric vacuum cleaner that is very easy to operate.

[Brief description of drawings]

FIG. 1 is a block diagram of an electric vacuum cleaner according to an embodiment of the present invention.

FIG. 2 is a block diagram of a fuzzy reasoner of the electric vacuum cleaner.

[Fig. 3] Fig. 3 (a) and (b) are diagrams showing waveforms of dust quality of the vacuum cleaner.

FIG. 4 is a characteristic diagram showing changes in the amount of waste of the vacuum cleaner.

FIG. 5 is a diagram showing a membership function of a fuzzy reasoner of the electric vacuum cleaner.

FIG. 6 is a perspective view of a conventional vacuum cleaner.

[Explanation of symbols]

 1 Garbage Sensor 6 Garbage Amount Detecting Means 7 Garbage Quality Detecting Means 8 Garbage Change Rate Detecting Means 9 Fuzzy Reasoner 10 Storage Means 12 Fan Motor

Claims (3)

[Claims] 1. A fan motor for sucking in dust, a dust sensor for detecting dust on the floor, a dust amount detecting means for detecting the dust amount from the output of the dust sensor, and a dust quality for detecting dust quality. Detection means, waste change rate detection means for detecting the change rate of waste, and fuzzy for determining the rotation speed of the fan motor by fuzzy inference from the outputs of the waste amount detection means, the waste quality detection means and the waste change rate detection means. An inference unit and a storage unit for storing the inferred calculation result at a predetermined time and outputting the result to the fuzzy inference unit, the fuzzy inference unit changing the rotation speed inference rule according to the stored contents of the storage unit. Vacuum cleaner made like. 2. The electric vacuum cleaner according to claim 1, wherein the fuzzy inference unit corrects the antecedent part fitness calculation processing of the fuzzy inference based on the stored contents of the storage means. 3. The electric vacuum cleaner according to claim 1, wherein the fuzzy inference unit corrects the membership function of the fuzzy inference based on the stored contents of the storage means.