JP3198553B2 - Electric vacuum cleaner - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vacuum cleaner used in ordinary households, which detects dust on the floor and automatically adjusts the suction power.

[0002]

2. Description of the Related Art Heretofore, this type of vacuum cleaner has generally been configured as shown in FIG. Hereinafter, the configuration will be described.

As shown in FIG. 1, a hose 24, an extension pipe 25 and a floor nozzle 26 are provided in a suction port 23 of a cleaner body 22.
Are connected. A hand switch 27 is provided at the tip end of the hose 24, and by operating the hand switch 27, the rotation speed of a fan motor 28 provided in the cleaner body 22 is controlled.

[0004]

In such a conventional vacuum cleaner, when cleaning, the user determines the material of the floor surface, the amount of dust, and the quality of the dust, and sets the hand switch 27 set in advance. I was pressing the position button. In addition, this is repeated every time cleaning is performed, and there is a problem that a user's hand is troublesome.

The present invention solves the above-mentioned problems, and determines the number of revolutions of a fan motor in accordance with the amount of dust, the quality of dust, and the characteristics of the floor surface in detail, and performs cleaning with a suction force suitable for a user's home. The purpose is to provide a vacuum cleaner that can be used.

[0006]

SUMMARY OF THE INVENTION The present invention, in order to achieve the above object, for suction dust Fanmo - motor and a dust sensor for detecting dust of the floor, dust amount from the output of the previous Kigomi sensor Garbage amount detecting means for detecting garbage, garbage quality detecting means for detecting garbage quality, garbage change rate detecting means for detecting a change rate of garbage, the garbage amount detecting means, garbage quality detecting means and garbage change rate detecting means Fuzzy inference device that determines the rotational speed of the fan motor by fuzzy inference from the output of
When the detected amount of waste, waste matter, dust change rate is recorded for each predetermined time storing hand to be output to the fuzzy inference unit
The fuzzy inference device complements the antecedent part fitness calculation processing of the fuzzy inference based on the storage content of the storage means.
Try to correct or a member of fuzzy reasoning
The problem solving means is to correct the ship function .

[0007]

According to the present invention, there is provided a garbage sensor for detecting refuse on the floor, and a storage means for storing the output of the refuse sensor and a fuzzy inference device. quality, Fanmo from each output of the dust change rate (characteristic of the floor) - can finely determined determined by fuzzy inference the rotational speed of the motor further stores waste quantity, waste matter, each output characteristics of the floor, the Fuzzy inference based on stored contents
It may be necessary to correct the antecedence calculation processing of the antecedent part of the
Or amend the membership function of fuzzy inference
As a result, the number of revolutions of the fan motor suitable for the user's home can be determined more precisely.

[0008]

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

As shown in the drawing, the dust sensor 1 is provided in a part of a suction hose, and a light emitting unit 2 and a light receiving unit 3 are installed so as to face each other. It is configured as follows. The signal from the light receiving unit 3 is amplified by the amplifying unit 4, the waveform is shaped by the pulse conversion unit 5, and input to the waste amount detection unit 6, the waste quality detection unit 7, and the waste change rate detection unit 8. The garbage amount detecting means 6 detects the amount of garbage by calculating the integrated amount of the sucked garbage for a predetermined time.
The garbage detection means 7 detects the garbage from the garbage sensor 1
The time taken to pass between is measured to detect the quality of the waste. The refuse change rate detecting means 8 detects a change rate of the sucked refuse for a predetermined time, and detects a characteristic of the floor surface. The fuzzy inference unit 9 performs fuzzy inference with the outputs of the waste amount detection means 6, the waste quality detection means 7, and the waste change rate detection means 8. The storage means 10 stores the outputs of the waste amount detection means 6, the waste quality detection means 7 and the waste change rate detection means 8 at predetermined time intervals, and outputs them to the fuzzy inference unit 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 inference unit 9.

The fuzzy inference unit 9 is configured as shown in FIG.
It stores membership functions for waste volume, waste quality, and waste change rate. Garbage amount adaptability calculating means 14, refuse quality adaptability calculating means 15, refuse change rate adaptability calculating means 16
Calculates the degree of conformity between the membership function relating to the amount of waste, the quality of waste, and the rate of change of the waste stored in the antecedent part membership function storage means 13 and the amount of waste, the quality of waste, and the rate of change of the waste. . Further, the storage contents of the storage means 10 are input to the refuse amount conformity calculating means 14, the refuse quality conformance calculating means 15, and the refuse change rate conformity calculating means 16. The antecedent minimum computing means 17 takes the MIN of the three conformances which are the outputs of the refuse amount conformance computing means 14, the refuse quality conformance computing means 15, and the refuse change rate conformity computing means 16, and calculates the MIN of the antecedent part. To conclude. The suction force inference rule storage means 18 stores inference rules relating to the suction force. The suction force membership function storage means 19 stores a membership function relating to the suction force of the consequent part. The consequent part minimum operation means 20 follows the inference rule stored in the suction force inference rule storage means 18 and determines the antecedent part conclusion and the suction force member of the consequent part stored in the suction force membership function storage means 19. Take the MIN of the ship function as the conclusion of the rule. The center-of-gravity means 21 obtains the MAX of all the conclusions after obtaining the respective conclusions for all the rules and calculates the center of gravity to finally obtain the suction force.

The operation of the above configuration will be described. The light emitted from the light emitting unit 2 of the dust sensor 1 can be received by the light receiving unit 3 when there is no dust, but is blocked when the dust passes therethrough. No. 3 cannot receive light. Therefore, the presence or absence of dust can be determined from the output of the light receiving unit 3. The garbage amount detection means 6 detects the amount of garbage on the floor at that time by integrating the signal amplified by the amplifying unit 4 and waveform-shaped by the pulse converting unit 5 for a predetermined time (for example, 0.1 second). it can.

FIG. 3 shows a pulse waveform of dust detected by the dust sensor 1. FIG. 3 (a) is a pulse waveform when cotton dust is sucked, and FIG. 3 (b) is a dust waveform when sand dust is sucked. The pulse waveform in the case is shown. Therefore, by detecting this pulse waveform by the refuse detection means 7, it is possible to determine whether the refuse is large or light, such as cotton refuse, or small and heavy, such as sand refuse. Can be detected.

FIG. 4 shows the degree of change in the integrated value of the amount of dust when cleaning is continuously performed. In FIG. 4, dust is reduced at a stretch from T2 to the start of cleaning, which indicates that dust on the floor surface has been removed. Further, after T2, it is largely separated as curves a, b and c depending on how the dust is removed thereafter. Curve c in FIG.
In the case of, the integrated value of the garbage is almost 0, indicating that almost all of the garbage has been removed before T2. This is the case where the floor to be cleaned is a wooden floor, a cushion floor, a tatami mat, or the like. In addition, when the floor surface is a carpet, the refuse is buried between the furs, and the amount of the refuse is generally relatively large compared to the wooden floor and tatami mats. That is, as shown by the curves a and b in FIG. 4, the characteristic shows that the integrated value of the amount of dust gradually decreases. When the change rate of the amount of dust is thus detected by the dust change rate detecting means 8, it is possible to estimate the characteristics of the floor surface currently being cleaned. A small change in the amount of garbage indicates that the floor is a carpet, etc. Is shown.

The optimum suction force for cleaning is determined by the amount of dust on the floor, the quality of the dust, the characteristics of the floor, and the like. The dust amount detection means 6, the dust quality detection means 7, and the dust change rate calculation means The fuzzy inference unit 9 performs fuzzy inference from the output value of 8 and the storage contents of the storage means 10, and the control means 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 of the present embodiment is a general judgment such as "If the amount of waste is large, the waste quality is large like cotton garbage, and the rate of change of the garbage is large like a carpet, the suction force is set to be very large." It is formed based on. If the amount of waste is “high” or the waste quality is “small”
The garbage change rate is "large" or the suction power is "large"
Such a qualitative concept is quantitatively expressed by membership functions as shown in FIGS. 5 (a), 5 (b), 5 (c) and 5 (d). In the garbage amount adaptability calculating means 14, the garbage amount detecting means 6
Input from the user and antecedent membership function storage means 13
Is determined with respect to the membership function of the amount of waste stored in. At this time, the garbage amount suitability calculating means 14
, The average value of the amount of waste stored in the storage means 10 is input at the same time, and is corrected by the average value of the amount of waste when determining the degree of conformity. This correction is performed using the ratio between the output of the waste amount detection means 6 and the average value of the waste amount stored in the storage means 10,
Calculate the fitness. Similarly, the refuse quality adaptability calculating means 15
Then, the degree of conformity is determined for the input from the waste quality detection means 7 and the membership function of the waste quality stored in the antecedent membership function storage means 13. At this time, the average value of the waste quality stored in the storage means 10 is simultaneously input to the waste quality adaptation calculating means 15 and is corrected by the average value of the waste quality when obtaining the fitness. In addition, the garbage change rate adaptability calculating means 16 obtains a degree of conformity with respect to the input from the garbage change rate detecting means 8 and the membership function of the garbage change rate stored in the antecedent membership function storage means 13. At this time, the refuse change rate adaptability calculating means 16
, The average value of the refuse change rate stored in the storage means 10 is input at the same time, and is corrected by the average value of the refuse change rate when obtaining the fitness.

The antecedent part minimum calculation means 17 takes the MIN of these degrees of conformity and determines the conclusion of the antecedent part. In the consequent part minimum calculating means 20, according to the rules stored in the suction force inference rule storage means 18, the consequent part conclusion and the suction force membership of the consequent part stored in the suction force membership function storage means 19 are stored. Take the MIN of the function and conclude the rule. After obtaining the respective conclusions for all the rules, the center-of-gravity calculating means 21 takes the MAX of all the conclusions and calculates the center of gravity to finally obtain the suction force. The 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 rotations of the fan motor 12 is determined by fuzzy inference from the outputs of the waste amount detecting means 6, the waste quality detecting means 7 and the waste change rate detecting means 8. The fuzzy inference unit 9 that determines
Antecedent part of fuzzy inference based on the storage contents of storage means 10 storing waste amount, waste quality and waste change rate at predetermined time intervals
Correcting the fitness calculation processing, or
In <br/> of was to correct the member shea-up function of Jie inference, more fine-grained Fanmo - to determine the number of revolutions of the motor, can be cleaned in the suction force that matches the home of the user, very A vacuum cleaner with a good operation feeling can be provided.

In the above embodiment, the contents stored in the storage means 10 are input to the refuse amount adaptability calculating means 14, the refuse quality adaptability calculating means 15, and the refuse change rate adaptability calculating means 16, and each of the inputs and Although the correction is made when obtaining the degree of conformity with respect to the membership functions stored in the section membership function storage means 13, 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, and an output of the dust sensor are provided.
Garbage amount detection means for detecting the amount of garbage from waste
Garbage quality detection means and garbage change detecting garbage change rate
Conversion rate detection means, the waste amount detection means, and waste quality detection means
And a fuzzy inference device that determines the rotation speed of the fan motor by fuzzy inference from the output of the dust change rate detection means ,
The detected waste amount, waste quality, and waste change rate are determined for a predetermined time.
And a storage means for storing each fuzzy inference device and outputting the data to the fuzzy inference device.
Correct the antecedent degree of conformity calculation processing of fuzzy inference by contents
Or fuzzy inference membership.
The fan function is corrected, so the fan motor rotation speed is determined finely, efficient cleaning can be performed without hassle, cleaning can be performed with the suction power suitable for the user's home, and the hand switch There is no need to repeatedly press the position button, and a vacuum cleaner with a very good operational feeling can be provided.

[Brief description of the drawings]

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

FIG. 2 is a block diagram of a fuzzy inference device of the vacuum cleaner.

FIGS. 3 (a) and 3 (b) are diagrams showing waveforms of waste quality of the vacuum cleaner.

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

5 (a) to 5 (d) are diagrams showing membership functions of a fuzzy inference device of the vacuum cleaner.

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

[Explanation of symbols]

 REFERENCE SIGNS LIST 1 garbage sensor 6 garbage amount detection means 7 refuse quality detection means 8 refuse change rate detection means 9 fuzzy inference device 10 storage means 12 fan motor

Claims (2)

(57) [Claims] 1. A fan motor for sucking refuse,
A garbage sensor for detecting refuse on the floor, refuse amount detecting means for detecting the amount of refuse from the output of the refuse sensor, and
Waste detection means to detect the waste and rate of change of the waste
Waste change rate detection means, the waste amount detection means, waste quality detection
Fuzzy inference from the output of the means and waste change rate detection means
Fuzzy inference device for determining the rotation speed of the fan motor
And the detected waste amount, waste quality, and waste
A storage device that stores the data every time and outputs it to the fuzzy inference device.
And a fuzzy inference unit, wherein
Complement the antecedent calculation of the antecedent part of fuzzy inference based on memory
Vacuum cleaner to correct . 2. A fan motor for sucking refuse,
A dust sensor for detecting dust on the floor,
Waste detection means for detecting the amount of waste from the output
Waste detection means to detect the waste and rate of change of the waste
Waste change rate detection means, the waste amount detection means, waste quality detection
Fuzzy inference from the output of the means and waste change rate detection means
Fuzzy inference device for determining the number of revolutions of the fan motor
And the detected waste amount, waste quality, and waste
A storage device that stores the data for each time and outputs it to the fuzzy inference device
And a step, wherein the fuzzy inference unit stores the information in the storage means.
Correct membership function of fuzzy inference according to memory
Vacuum cleaner to do .