JPH0313683A - Blind angle control device - Google Patents

Abstract

PURPOSE:To perform the angle adjustment of a blind by fuzzily inferring the proper angle of the blind according to the fuzzy rule based on detected signals from an illuminance sensor and a temperature sensor provided in a room. CONSTITUTION:A driving means having a pulse motor 4 driving a blind 2, an illuminance sensor 6 detecting indoor illuminance, and a temperature sensor 8 detecting room temperature are provided. A fuzzy inferring means 12 fuzzily inferring the proper angle of the blind 2 according to the fuzzy rule based on respective detected signals is provided in a controller 10 inputted with detected signals from the illuminance sensor 6 and the temperature sensor 8. The proper angle of the blind 2 is fuzzily inferred based on respective detected signals, thereby the angle of the blind 2 is automatically adjusted in response to the external environment change.

Description

DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to a blind angle control device that automatically adjusts the angle of a blind according to indoor illuminance and temperature.

(Prior Art) Conventionally, the angle of a blind has been adjusted manually.

(Problem to be solved by the invention) However, with such conventional blinds, even when the external environment changes, for example, the direction of sunlight entering the room changes due to the movement of the sun, it is difficult to maintain the optimal interior at all times. In order to maintain the condition, the blinds must be manually operated frequently, making the operation extremely complicated.

(Means for Achieving the Problem) The present invention has been made in view of the above circumstances, and it is possible to automatically adjust the angle of the blind in response to changes in the external environment, so that the interior is always optimal. This is to ensure that the environment is maintained in a safe environment.

Therefore, the blind angle control device of the present invention is provided with a driving means for driving the blind, an illuminance sensor for detecting indoor illuminance, and a temperature sensor for detecting indoor temperature. The present invention is characterized in that it is equipped with fuzzy inference means for inputting signals and fuzzy inferring the appropriate angle of the blind according to fuzzy rules based on each of these detection signals.

(Operation) According to the above configuration, the fuzzy inference means fuzzy infers the appropriate angle of the blind according to the fuzzy rule based on the illuminance and temperature detection signals from the illuminance sensor and the temperature sensor, and thereby Adjust the angle accordingly. Therefore, the indoor environment is automatically maintained at an optimal environment against changes in the external environment without manual operation.

(Embodiment) FIG. 1 is a block diagram showing the overall configuration of a blind angle control device according to an embodiment of the present invention.

In the figure, reference numeral 1 indicates the entire blind angle control device, 2 is a blind, and 4 is a pulse motor as a driving means for changing the angle of the blind 2. Further, 6 is an illuminance sensor that detects the indoor illuminance, and 8 is a temperature sensor that detects the indoor temperature, and both of these sensors 6.8 are installed at appropriate locations on the desk, for example. IO is a control unit that drives and controls the pulse motor 4 based on detection signals from both sensors 6.8, and each detection signal from the illuminance sensor 6 and temperature sensor IO is input to this control unit IO,
A fuzzy inference means 12 is provided which fuzzy infers the appropriate angle of the blind 2 in accordance with fuzzy rules based on each of these detection signals.

The above fuzzy inference means 12, as shown in FIG.
It consists of an input section IN, a fuzzy inference section FS, a fuzzy rule storage section FM, and an output section OUT.

The input unit IN inputs each detection signal S1, S from the illuminance sensor 6 and the temperature sensor 8, and outputs each of these detection signals S1, S,
Antecedent variables X1, X, for performing fuzzy inference on S,
Output as .

The fuzzy rule storage unit F'M stores if
It stores a plurality of types (five types in this example) of fuzzy rules in the form (antecedent part) to then (consequent part).

In each of these fuzzy rules, Xl and XI are antecedent variables corresponding to each detection signal 5lqh from the illuminance sensor 6 and temperature sensor 8, and y is a consequent corresponding to the blind angle to be output as a result of fuzzy inference. part variable, N
L, ZR, PL are antecedent variables IKIII x*
and the fuzzy label name of the fuzzy set to which the consequent variable y belongs.

The fuzzy inference unit FS uses the antecedent variable Xls in the membership function coordinate system shown in FIG. 4(a) and (b).
'xt, respectively, and the membership function corresponding to the consequent variable y in the membership function coordinate system shown in FIG. In addition, the numerical value of the antecedent variable XI represented on the horizontal axis in FIG. 4(a) represents the indoor illuminance, and the numerical value of the antecedent variable X represented on the horizontal axis in FIG. are shown respectively. Further, the symbols NL-PL in these figures correspond to each membership function illustrated below them. Furthermore, the consequent variable y represented on the horizontal axis in Fig. 5 indicates the blind angle, and the N
The symbols of L-PL correspond to each membership function illustrated below them. In addition, the output 110UT is the consequent variable y subjected to fuzzy inference by the fuzzy inference unit F'S.
The determined value is output to the pulse motor 4 as an angle control signal e.

Next, the blind angle control device with the above configuration! In,
The angle control operation of the blind 2 will be explained.

Detection signals S, S, from the illuminance sensor 6 and the temperature sensor 8, which are arranged indoors, are input to the control unit IO. Each of these detection signals Sl, s* is sent to the next-stage fuzzy inference unit PS as an antecedent variable XIsK* for performing fuzzy inference via the input unit IN of the fuzzy inference means 12.
added to.

The fuzzy inference part FS calculates each of these antecedent variables XI%
Based on Then, the membership value (fitness) of each selected membership function is found.Then, the minimum value of the membership values (fitness) of each antecedent part is found for each fuzzy rule (MIN calculation). Then,
For each fuzzy rule in Figure 3, the consequent part (the
Select the membership function with the fancy label name set in step n) from FIG. Cut horizontally. and,
The membership functions of NL, ZR, and PL regarding each of the consequent variables y of each of these cut fuzzy rules are superimposed (MAX operation). As a result, a superposition membership function regarding the consequent variable y is obtained. Then, by determining, for example, the center of gravity of this superposition membership function, the determined angle control data y of the blind 2 can be obtained. Then, this angle control data y is output from the output section OUT to the pulse motor 4 as an angle control signal e, and the angle of the blind 2 is controlled.

(Effects of the Invention) According to the present invention, by fuzzy inferring the appropriate angle of the blind according to fuzzy rules based on each detection signal from the illuminance sensor and the temperature sensor, the angle of the blind can be determined in response to changes in the external environment. Adjustment will be adjusted automatically. Therefore, the indoor environment is always maintained in an optimal environment. Moreover, the conventional method eliminates the trouble of manually operating the blinds every time the external environment changes.

[Brief explanation of drawings]

The drawings show an embodiment of the present invention; FIG. 1 is a block diagram showing the overall configuration of the blind angle control device, FIG. 2 is a block diagram showing the fuzzy inference means, and FIG. 3 is a block diagram showing the fuzzy rule storage unit. 4(a) and 4(b) are diagrams showing membership functions for antecedent variables, and FIG. 5 is diagrams showing membership functions for consequent variables. . G...Blind angle control device, 2...Blind,
4... Pulse motor (driving means), 6... Illuminance sensor, 8... Temperature sensor, 12... Fuzzy inference means, FS... Fuzzy inference section, FM... Fuzzy rule storage section.

Claims (1)

[Claims] (1) A driving means for driving the blind, an illuminance sensor for detecting indoor illuminance, and a temperature sensor for detecting indoor temperature are provided respectively, and each detection signal from the illuminance sensor and temperature sensor is inputted, and these signals are inputted. A blind angle control device comprising fuzzy inference means for fuzzy inferring the appropriate angle of the blind according to fuzzy rules based on each detection signal.