JPH07234287A - Fuzzy infrared human body detection device - Google Patents

Abstract

PURPOSE:To provide an infrared human body detection device which operates a load for a relatively long time when the presence of the human body is detected and while that person is in the room without moving greatly, and which stops operation of the load immediately when the person moves greatly to enter or exit the room. CONSTITUTION:This fuzzy infrared human body detection device comprises an infrared radiation detecting portion 1 that collects and detects infrared radiation emitted from the human bodies, an amplifier portion 2 which amplifies the outputs of the infrared radiation detecting portion 1, a filter portion 3 which eliminates unnecessary frequency components from the outputs of the amplifier portion 2, and a comparator circuit portion 4 which compares a human body detecting signal from the filter portion 3 with a preset threshold; the comparator circuit portion 4 is provided with a delay circuit portion 10 which, when the detection signal output from the filter portion 3 is greater than the preset threshold, starts driving a load and keeps the load operated for a preset delay time T which is automatically set and renewed by a fuzzy inference portion 8.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an infrared human body detecting device used for detecting movements and slight movements of a human body to control loads such as lighting and room lights.

[0002]

2. Description of the Related Art In general, an infrared detecting element called a pyroelectric element occupies most of the elements for detecting the human body by the change amount of infrared rays. Infrared human body detection devices using such a pyroelectric element are rapidly becoming widespread for crime prevention intrusion detection devices and for automatic control of lighting loads.

A conventional infrared type human body detecting device of this type is
By the circuit configuration as shown in FIG.
The basic operation shown in the time chart of (d) is performed. That is, the change of infrared rays generated by the motion of the human body is collected by the condenser 101, and the infrared detector 1
02, the output is amplified by the amplification unit 103, and unnecessary frequency components are removed by the bandpass filter 104. Then, the detection signal output from the bandpass filter 104 is predetermined in the comparison circuit 105. When the detection signal is larger than this threshold value, the delay circuit 106 is driven and the output circuit 107 starts driving a load such as illumination. The delay circuit 106 has a configuration in which the output of the output circuit 107 is held for a predetermined fixed delay time to drive a load such as lighting, and when the preset delay time elapses, the driving is stopped. ing.

Since this delay time is updated one after another each time the comparison circuit 105 outputs an output as shown in FIG. 8, the load such as illumination finally detects the movement of the human body and the comparison circuit 105 outputs the delay time. It is driven until the delay time determined by the delay circuit 106 elapses from the time when the output is output, and then the driving is stopped.

[0005]

By the way, the delay time set by the delay circuit 106 as described above is adjusted by the operator at the time of construction in accordance with the mounting condition and application of the infrared type human body detecting device. Generally, the delay time is set to the maximum so that the lighting does not turn off due to the small amount of movement of the human body even though the human body is in the room. I often did.

For example, assuming that the maximum width of the delay time is 6 minutes, the load is turned off 6 minutes after the last output from the comparison circuit 105, and therefore 6 minutes after the human body to be detected leaves the room. There was a drawback that the lighting was not turned off until the time elapsed. However, in such a configuration, the load is operated for an unnecessary time, power consumption is wasted, and it is not economically preferable.

On the contrary, if the builder sets the delay time to be short, in the case where the human body is stationary, that is, in the case of slight movement in which the detection signal does not exceed the set threshold value,
Since there is no output from the comparison circuit 105, the delay time is not updated, and there is a drawback that the illumination is turned off even if the human body is in the room. The present invention has been made in view of such circumstances, and detects the presence or absence of a human body in a room or the like, and keeps the load operating time as long as possible in a state where the human body is small in movement. ,
An object of the present invention is to provide an infrared human body detecting device configured to quickly stop the operation of a load after entering or leaving a room where the human body moves greatly.

[0008]

An infrared human body detection device according to claim 1 of the present invention, which has been proposed to achieve the above object, includes an infrared detection section for collecting and detecting infrared rays emitted from a human body. An amplification section for amplifying the output of the infrared detection section, a filter section for removing unnecessary frequency components from the output of the amplification section, and a comparison circuit section for comparing the detection signal output from the filter section with a preset threshold value. And a delay circuit unit that starts driving the load by the comparison circuit unit when the detection signal output from the filter unit is larger than a threshold value and holds the driving of the load for a predetermined delay time set in advance. It is an improvement of the infrared human body detecting device provided with, and is characterized in that a fuzzy inference unit for automatically setting and updating the delay time is provided.

In the human body detection apparatus according to the present invention as proposed in claim 2, the fuzzy inference unit is configured such that the output waveform of the detection signal exceeds the threshold value of the comparison circuit unit within a fixed time and the output waveform of the detection signal. The delay time is determined by using both the peak value and the peak value as input variables. According to the human body detection apparatus of the present invention as proposed in claim 3, an infrared detection unit that collects and detects infrared rays emitted from a human body, an amplification unit that amplifies the output of the infrared detection unit, and an output of the amplification unit is unnecessary. A filter unit that removes frequency components, a comparison circuit unit that compares the detection signal output from this filter unit with a preset threshold value, and a detection circuit output from the filter unit above the threshold value by this comparison circuit unit. Is an improvement of the infrared human body detection device provided with a delay circuit section that starts driving the load when the load is large and holds the drive of the load for a predetermined delay time set in advance. It features a fuzzy inference unit that automatically sets and changes.

In the human body detecting apparatus according to the present invention as proposed in claim 4, the fuzzy inference unit is configured to detect the number of times the output waveform of the detection signal exceeds the threshold value set by the comparison circuit unit within a predetermined time, and the detection signal. Both the peak value of the output waveform and the peak value of the output waveform are used as input variables to change the threshold level in the comparison circuit section. According to the human body detection device of the present invention as proposed in claim 5, an infrared detector for collecting and detecting infrared rays emitted from the human body, an amplifier for amplifying the output of the infrared detector, and an output of the amplifier are unnecessary. A filter unit that removes frequency components, a comparison circuit unit that compares the detection signal output from this filter unit with a preset threshold value, and a detection circuit output from the filter unit above the threshold value by this comparison circuit unit. Is an improvement of the infrared human body detection device provided with a delay circuit section for starting the driving of the load when it is large and holding the driving of the load for a predetermined delay time set in advance. Set to
It is characterized in that a fuzzy inference unit for updating and a fuzzy inference unit for automatically setting and changing the sensitivity of the human body detection device are provided.

Further, the human body detecting apparatus of the present invention proposed in claim 6 is provided with a temperature sensor for monitoring and measuring the ambient temperature, and the amplification of the amplifying section is performed according to the temperature value measured by the temperature sensor. It is configured to change the degree.

[0012]

According to the human body detecting apparatus of the first aspect of the present invention, after the human body is detected, the delay time for keeping the load in the operating state is automatically set to the optimum time by the fuzzy inference unit and updated. To be done. According to the human body detection device of claim 2, the fuzzy inference unit determines the number of times the output waveform of the human body detection signal exceeds the threshold value set by the comparison circuit unit within a fixed time, and the output waveform of the human body detection signal. Since fuzzy inference is performed using both peak values as input variables, the motion of the human body is accurately determined, and the delay time according to the situation is automatically set and updated.

According to the human body detection device of the third aspect,
Since the fuzzy inference unit automatically sets and changes the sensitivity of the human body detection device, optimum sensitivity according to the movement of the human body can be obtained. According to the human body detection device of claim 4, the fuzzy inference unit determines the number of times the output waveform of the human body detection signal exceeds the threshold value set by the comparison circuit unit within a fixed time, and the output waveform of the human body detection signal. Both peak values as input variables,
Since the threshold value of the comparison circuit unit is changed, the threshold value can be increased to decrease the sensitivity when the person's movement is large, while the threshold value is decreased to increase the sensitivity when the person's movement is small. be able to.

According to the human body detection device of the fifth aspect,
With the fuzzy inference unit, both delay time and sensitivity can be controlled accurately according to the state of human movement. According to the human body detection device of claim 6, since the temperature sensor monitors the ambient temperature and the amplification degree of the amplification unit is changed according to the temperature, the ambient temperature at which the temperature difference becomes large is small. Sometimes, the amplification degree of the amplification unit is reduced, while the amplification degree of the amplification degree is increased when the ambient temperature where the temperature difference is small is high, the peak value of the output waveform of the temperature-compensated detection signal is equal to the ambient temperature. It is not affected and reliability is further improved.

[0015]

EXAMPLES Examples of the present invention will be described below. FIG. 1 is a block diagram showing an internal circuit configuration (claim 1) of a fuzzy infrared human body detecting device A of the present invention, and FIG. 2 is a time chart showing an operating state of a load under fuzzy control.

In FIG. 1, reference numeral 1 denotes an infrared detecting element for detecting infrared rays from the human body condensed by the condenser 11 and constitutes an infrared detecting section. Reference numeral 2 denotes an amplifier circuit that amplifies a human body detection signal obtained by infrared detection, and constitutes an amplifier section. Reference numeral 3 denotes a bandpass filter that removes unnecessary frequency components from the human body detection signal output by the amplification unit 2 and constitutes a filter unit. Reference numeral 4 is a comparison circuit that compares the human body detection signal output from the filter unit 3 with a preset threshold value, and constitutes a comparison circuit unit. Reference numeral 5 is a pulse number counting circuit for counting the number of human body detection signals exceeding the threshold in the comparison circuit unit 4, 6 is a timer for setting the time between counting the number of times, 7
Is a peak value measuring circuit for measuring the peak value of the human body detection signal, and 8 is the number of pulses of the human body detection signal counted by the pulse counting circuit 5 within the set time of the timer 6, that is, the output waveform of the detection signal within a fixed time. Fuzzy inference unit that determines the delay time by fuzzy inference with the number of times that exceeds the threshold value and the peak value of the human body detection signal as input variables, 1
Reference numeral 0 is a delay circuit section for setting and updating the delay time by the fuzzy inference section 8, and 11 is an output circuit for outputting a drive signal for operating the load for the delay time T.

In the infrared human body detecting apparatus A thus constructed, the infrared rays emitted by the movement of the human body are detected by the infrared detecting element 1, amplified by the amplifying circuit 2, and then sent to the bandpass filter 2. It Here, signals other than frequency components corresponding to the infrared detection signal effective as the human body detection signal are removed and input to the comparison circuit 4 in the subsequent stage.

According to the human body detection apparatus A having such a configuration, when the delay time T is determined in the fuzzy inference unit 8, the delay circuit unit 10 drives the load such as illumination through the output circuit 11 for the delay time T. However, when a person moves, the same operation as described above is repeated, and the fuzzy inference unit 8 newly sets and changes the delay time T, so that the delay time T is sequentially updated to drive the load such as lighting. To be done. Further, since the timer 6 updates a new time measurement each time, both the above-mentioned pulse number and peak value are input as input variables to the fuzzy inference unit 8 (claim 2).

Next, the operation relationship between the human body detection device and the load will be described with reference to FIG. When the human body M largely moves in the detection area, the output waveform of the human body detection signal has a large peak value, and the time preset by the timer 6 (for example,
For 10 seconds), the output waveform from the comparison circuit 4 is counted, while the peak value measurement circuit 7 measures the peak value of the human body detection signal, and these two values are input to the fuzzy inference unit 8 as input variables. The delay time T is determined by fuzzy inference described later. Here, the fuzzy inference unit 8
Since the delay circuit section 10 is set and the output signal from the output circuit 11 is held for the delay time T, the load is delayed by the delay time T.
Will be driven only.

When the movement of the human body M is large, the fuzzy inference unit 8 judges that this movement is an entry and an exit, and the delay time T
Since the load is stopped in a short time, the human body M
When the movement of the human body is small, the fuzzy inference unit 8 deduces this as the movement of the human body in the room and the delay time T is lengthened, so that the load keeps driving for a long time. Further, since the movement of the human body M is small, if the human body M largely moves within the set time of the delay time T, the fuzzy reasoning unit 8 judges this movement as leaving the room, and the fuzzy reasoning unit 8 newly determines the movement. Prioritizing the determined short delay time T, the driving of the load is stopped after the lapse of the short delay time T (above, refer to (a) and (b) of FIG. 2).

With such a configuration, when the delay time T is sequentially updated, the delay time T becomes long while in the room.
The lighting does not turn off accidentally, and the lighting can be turned on and off quickly after entering or leaving the room. Next, the signal processing method of the fuzzy inference unit 8 which infers the delay time will be described in detail.

As described above, when the infrared input wave input by the movement of the human body M is amplified and filtered by the bandpass filter 3, the peak value measuring circuit 7 measures the peak value of the input wave. Then, in the comparison circuit 4, the number of pulses of the input wave exceeding the predetermined threshold value is counted for a certain period of time. The peak value and the count value are input to the fuzzy inference unit 8 as input variables for carrying out fuzzy inference, and the fuzzy inference unit 8 outputs the delay time T according to the situation as an output variable.

In the fuzzy inference unit, these variables are set to N,
Define the following as an ambiguous set of P and T,
As shown in FIG. 4, the delay time T is calculated by graphing as a function and calculating the content of the budget shown in the graph. N and P are set as variables for fuzzy inference, where N represents the number of pulses (pulse counting circuit) that exceeded the threshold within a fixed time, and PB = very many, P
It is categorized as S = slightly large, ZO = medium, NS = slightly small, NB = very small. P represents the peak value of each pulse (peak value measurement circuit), and PB
= Large, ZO = Medium, NB = Small. The output variable has a delay time represented by T, and is classified as NB = very short, NS = slightly short, ZO = medium, PS = slightly long, PB = very long.

When a set of these variables is set as a fuzzy control rule, 6 rules can be defined.
These rules represent the movement of the human body by the above variables, and FIG. 3 illustrates these rules as a membership function. The rules are as follows. 1) Rule 1: if N = PB and P = PB t
It is represented by hen T = NB, and when the number of pulses in a fixed time is very large and the peak value is large, the delay time T is made extremely short. For example, since there is a high possibility that the amount of movement of the human body is large, even if the delay time T is shortened, it is updated one after another, so that it does not go out. In addition, it is assumed that the lights are turned on and off quickly after entering and leaving the room, which corresponds to operations such as "walking around the room", "entering and leaving the room", and "passing through the room". 2) Rule 2: if N = PS and P = ZO t
It is represented by hen T = NS, and if the number of pulses in a certain period is a little large and the peak value is medium, the delay time is shortened a little. For example, since there is a high possibility that the amount of movement of the human body is slightly large, the value is updated immediately even if the delay time T is slightly shortened, so there is no fear of turning it off.
This corresponds to an operation such as "seating, standing", "turning an arm". 3) Rule 3: if N = ZO and P = ZO t
It is represented by hen T = ZO, and if the number of pulses in a fixed time is medium and the peak value is medium, the delay time is medium. For example, since there is a high possibility that the amount of movement of the human body is medium, the delay time is set to medium so that it is updated before the light is turned off. This corresponds to an operation such as "calling" or "picking up". 4) Rule 4: if N = NS and P = ZO t
It is represented by hen T = PS, and if the number of pulses in a certain time is a little small and the peak value is medium, the delay time is lengthened a little. For example, since there is a high possibility that the amount of movement of the human body is slightly small, the delay time is set to be slightly longer so that it is updated before the light is turned off. This corresponds to an operation such as "conversation" or "turning your head". Also, 5) Rule 5: if N = NB and P = NB t
It is represented by hen T = PB, and if the number of pulses in a fixed time is extremely small and the peak value is small, the delay time T is made extremely long. For example, since there is a high possibility that the amount of movement of the human body is small, the delay time T is set to be long and updated before the light is turned off. This corresponds to an action such as "writing" or a state of being almost stationary. 6) Rule 6: if N = NB and P = PB
If the number of pulses within a certain time is extremely small and the peak value is large, the delay time T is made extremely short. For example, since there is a high possibility that it is pop-con noise, which is a phenomenon peculiar to the pyroelectric element, the delay time is shortened so that the erroneously turned on illumination is quickly turned off.

These rules are collectively shown in the figure as shown in FIGS. 3A, 3B, and 3C, in which the number of pulses, output voltage, delay time, and grade ( It shows the correlation with the variable that determines the environmental suitability by fuzzy reasoning. Now, the counting result of the pulse number counting circuit is N
= 5, and the fuzzy inference will be described by taking as an example the case where the measurement result of the peak value measuring circuit is P = 0.8V. In Rule 1, N = PB is defined for the input variable N, but N = 5 is a grade 0 for the fuzzy variable PB, so N in Rule 1 is N.
The goodness of fit of = 5 is μn1 (5) = 0.

Further, P = 0.8V has a grade of 0 for the fuzzy variable PB, and the suitability of P = 0.8 in rule 1 is μ _p1 (0.8) = 0. As for how one rule fits the environment, the smallest fit among the fits for the respective input variables is adopted. In this case, the fit for the input variable N and the fit for the input variable P are both set. Since both are 0, the conformity of rule 1 is eventually μ _T1 = 0, and the grade for the output variable T = NB is 0.

In rule 2, N = PS is defined for the input variable N. N = 5 has a grade of μ _N2 (5), although it is not 0 for the fuzzy variable PS. Also, regarding the input variable P,
P = ZO is defined, and P = 0.8 has a grade of μ _P2 (0.8) instead of 0 for the fuzzy variable Z0. As mentioned above, rule 2
For the goodness of fit μT2 of μ _N2 (5) and μ _P2 (0.8), the smaller one is adopted, but in this example, μ _N2 (5) is smaller, so μ _T2
= It becomes the grade of μ _N2 (5). Further, in Rule 3, similarly, the smaller one of μ _N2 (5) and μ _P2 (0.8) is adopted.

In this way, the environmental suitability of variables for all rules is expressed in units of grades, and the results of inferring these grades from rule 1 to rule 6 are shown in μT. μT takes the center of gravity W ₀ of the inference result, and determines the delay time T which is an output variable as the inference result of the entire rule. In the present embodiment, the conclusion is that T = about 1.5 minutes, but here, the max-mini composite centroid method was used as the fuzzy inference method. Instead of the center of gravity, a median value may be calculated, or a method of selecting an element giving the maximum value may be adopted.
FIG. 5 is a time chart showing the operation of each part of the human body detection device of the present invention.

The fuzzy infrared human body detection device proposed in claim 3 is characterized in that a fuzzy inference unit for automatically setting and changing the sensitivity of the human body detection device is provided. The basic block diagram is the same as that in FIG. A feature of the present invention is that the fuzzy inference unit automatically sets and changes the sensitivity of the human body detection device.
That is, the point that an output is obtained by fuzzy inference from the number of pulses within a fixed time and the peak value of each output waveform is the same, but the threshold level of the comparison circuit is changed by the fuzzy inference unit.

In the fuzzy infrared ray human body detection apparatus proposed in claim 4, when the number of pulses within a certain period of time is extremely large and the peak value of the output waveform is extremely large, the human body enters and leaves. I think that there was, and the threshold value is lowered for a certain period from that point to increase the sensitivity of the human body detection device, and if there is an output wave that exceeds the threshold value again within the certain period, it is considered to be entering the room Continue the threshold. On the contrary, if there is no output that exceeds the threshold within the fixed time, it is considered that the user has left the room, and the threshold is returned to the original level. Further, when the number of pulses within a certain time is extremely small (not 0) and the peak value of the output waveform is extremely small, it is expected that a human body exists in the room and is in a state of slight movement or almost stillness. The threshold is set low to keep the high sensitivity state.

By performing such a processing, the threshold level is usually a normal level, but it is possible to provide a highly sensitive human body detection device capable of lowering the threshold level while in the room. This prevents erroneous operations such as accidentally stopping loads such as lighting while in the room. Claim 5
The present invention proposed in (1) has a function of simultaneously performing the fuzzy inference defined in claim 1 and claim 3, and sets and updates the delay time according to the motion of the human body,
The sensitivity can be changed.

FIG. 6 discloses a human body detection device A ′ proposed in claim 6. To explain the basic hardware configuration of this human body detection device, in addition to the hardware shown in FIG. 1, a temperature sensor 12 for monitoring and measuring the ambient temperature, and the temperature measured by this temperature sensor 12 are converted into an electrical signal. And a temperature output processing circuit 9 for changing the amplification degree of the amplification circuit 2 into a temperature output processing circuit 9.

According to such a configuration, the temperature sensor 12
Since the ambient temperature is monitored with, and the amplification degree of the amplifier circuit 2 is changed according to the temperature, the amplification degree of the amplifier circuit 2 can be reduced while the temperature difference becomes large when the ambient temperature at which the temperature difference becomes large is small. When the surrounding temperature becomes small and high,
Since the amplification degree of the amplifier circuit 2 is increased, the peak value of the output waveform of the temperature-compensated detection signal is not affected by the ambient temperature, and the reliability is further improved.

[0034]

According to the present invention, the following effects can be obtained. According to the human body detection device of claims 1 and 2,
The fuzzy reasoning unit automatically sets and updates the delay time according to the movement of the person. In other words, the delay time becomes long while the person is in a room with little movement, and the delay time becomes short after entering / leaving with a lot of people movement. For this reason, it is possible to prevent the occurrence of problems such as the load stopping within the time when it should be driven and continuing the driving for a long time when it should be stopped.

According to the human body detection device of the third and fourth aspects, the emotion is automatically set and changed by the fuzzy inference unit according to the movement of the person. Therefore, since the sensitivity becomes low after entering / exiting a lot of movement of a person, it becomes difficult to malfunction, and the sensitivity becomes large in the room where the movement of a person is small. According to the human body detection apparatus of the fifth aspect, the delay time is set and updated by fuzzy inference, and the sensitivity is automatically adjusted, so that more ideal load control can be performed according to the movement of the person.

According to the human body detection device of the sixth aspect,
The ambient temperature is monitored and measured by the temperature sensor, and the condition that the temperature difference with the human body is large, that is, if the ambient temperature is low, the amplification degree of the amplification unit is small, and the temperature difference with the human body is small, In other words, if the ambient temperature rises,
Since the degree of amplification also increases, temperature compensation is automatically performed,
A highly reliable human body detection device can be obtained.

[Brief description of drawings]

FIG. 1 is a block diagram showing an internal configuration of an embodiment of a fuzzy infrared human body detection device of the present invention.

FIG. 2 is a time chart showing a basic operation of fuzzy control in the present invention, where (a) shows an operation when a human body is large, and (b) shows an operation when a human body is small.

3 (a), (b) and (c) are diagrams showing examples of membership functions of pulse number, peak value and delay time used in fuzzy inference.

FIG. 4 is a diagram illustrating a basic rule adopted in fuzzy inference and an inference result of the entire rule.

5 (a), (b), (c), (d) and (e) are time charts showing the control operation in each part of the infrared human body detecting device of the present invention.

FIG. 6 is a block diagram showing a configuration of an internal circuit in another example of the infrared human body detection device of the present invention.

FIG. 7 is a block diagram showing an example of an internal circuit of a conventional infrared human body detection device.

8 (a), (b), (c) and (d) are time charts showing the control operation in the conventional infrared human body detection device.

[Explanation of symbols]

 A, A'Fuzzy infrared human body detection device T Delay time 1 Infrared detection part (pyroelectric element) 2 Amplification part (amplification circuit) 3 Filter part (band filter) 4 Comparison circuit part (comparison circuit) 8 Fuzzy inference part 9 Temperature Sensor output processing circuit 10 Delay circuit section 12 Temperature sensor

Claims (6)

[Claims] 1. An infrared detecting section for collecting and detecting infrared rays emitted from a human body, an amplifying section for amplifying the output of the infrared detecting section, and a filter section for removing unnecessary frequency components from the output of the amplifying section. A comparison circuit unit that compares the detection signal output from the filter unit with a preset threshold value, and the comparison circuit unit starts driving the load when the detection signal output from the filter unit is greater than the threshold value. In the infrared human body detecting device provided with a delay circuit section for holding the drive of the load for a predetermined delay time set in advance, a fuzzy inference section for automatically setting and updating the delay time is provided. A fuzzy infrared human body detector. 2. The fuzzy inference unit uses as input variables both the number of times the output waveform of the detection signal exceeds a threshold of the comparison circuit unit within a fixed time and the peak value of the output waveform of the detection signal. The fuzzy infrared human body detection device according to claim 1, wherein the delay time is determined. 3. An infrared detecting section for collecting and detecting infrared rays emitted from a human body, an amplifying section for amplifying the output of the infrared detecting section, and a filter section for removing unnecessary frequency components from the output of the amplifying section. A comparison circuit unit that compares the detection signal output from the filter unit with a preset threshold value, and this comparison circuit unit starts driving the load when the detection signal output from the filter unit is greater than the threshold value. do it,
In an infrared human body detection device provided with a delay circuit unit that holds the drive of a load for a predetermined delay time set in advance, a fuzzy inference unit that automatically sets and changes the sensitivity of the human body detection device is provided. A fuzzy infrared human body detector. 4. The fuzzy inference unit inputs both the number of times the output waveform of the detection signal exceeds a threshold value set by the comparison circuit unit within a fixed time and the peak value of the output waveform of the detection signal as input variables. 4. The fuzzy infrared human body detection device according to claim 3, wherein the fuzzy infrared ray human body detection device is configured to change the threshold level in the comparison circuit unit. 5. An infrared detecting section for collecting and detecting infrared rays emitted from a human body, an amplifying section for amplifying the output of the infrared detecting section, and a filter section for removing unnecessary frequency components from the output of the amplifying section. A comparison circuit unit that compares the detection signal output from the filter unit with a preset threshold value, and this comparison circuit unit starts driving the load when the detection signal output from the filter unit is greater than the threshold value. do it,
In an infrared human body detection device provided with a delay circuit unit that holds the drive of a load for a predetermined delay time set in advance, the fuzzy inference unit that automatically sets and updates the delay time and the sensitivity of the human body detection device are set. A fuzzy infrared human body detection device, which is provided with a fuzzy inference unit that automatically sets and changes. 6. A temperature sensor for monitoring and measuring the ambient temperature is provided, and according to the temperature value measured by the temperature sensor,
A configuration in which the amplification degree of the amplification unit is changed.
5. The fuzzy infrared human body detection device according to any one of 5 above.