JPH0544970A - Air cleaner - Google Patents

Abstract

PURPOSE:To produce optimum airstream in accordance with an indoor environment and collect levitating powder dust efficiently. CONSTITUTION:The data of indoor status, such as the size of a room, the positions of furnitures and the like, are inputted into a data base 2. Thereafter, the movements of indoor environment and levitating powder dust are sensed by a sensing unit 1 to send data into an inference unit 3. The inference unit 3 compares the sent data with the data in the data base unit 2 and infers an airstream pattern for collecting the levitating powder dust optimally. The actuator control of the amount of airflow in an outlet port louver, a fan and the like is effected based on the inference result. When the conditions of airflow after carrying out the inference result are different from the inference result, the sensing unit 1 makes new knowledges of new conditions of airflow through a learning unit and stores them in a data base unit 2. According to this method, the optimum airstream is produced in accordance with an indoor environment whereby the levitating powder dust can be collected efficiently.

Description

Detailed Description of the Invention

[0001]

FIELD OF THE INVENTION The present invention relates to an air purifier.

[0002]

2. Description of the Related Art In a conventional air purifier, a person controls an actuator (louver, fan),
It was possible to select multiple airflow patterns by pressing the switch on the air purifier body or the switch on the remote control.

[0003]

However, the pattern selection by the manual switch is limited, and even if the pattern is selected, the air flow is rarely optimal for the indoor condition. Further, the grasp of environmental conditions by the human body and the inference process when inputting the recognition to the remote control are often unsatisfactory from the theory of indoor airflow, and the airflow resulting from the remote control input is also an unfavorable flow. There are many.

The present invention has been made in view of the above points, and provides an air purifier intended to efficiently collect airborne dust by creating an optimum air flow according to the indoor environment. is there.

[0005]

According to the present invention, there is provided a sensing section for sensing the indoor environment and the movement of suspended dust, and a data input section for the optimum blowing velocity, blowing direction, etc. corresponding to temperature, wind velocity distribution, dust generation position, etc. The inference unit that infers the airflow pattern for optimally capturing the suspended dust by comparing the data obtained in the sensing unit with the data in the database unit, and the inference of the inference unit An actuator part that controls actuators such as louvers of blow-outs and fan air flow based on the results, and a learning part that sends new data to the database part as new data when the execution result in the actuator part shows behavior outside the inference of the inference part It is composed of.

[0006]

[Function] Then, the data of the indoor property such as the size of the room and the position of the furniture are input to the data input unit, and then the indoor environment and the movement of the suspended dust are detected by the sensing unit and the data is transmitted to the inference unit. The sending and inference unit compares the sent data with the data in the database unit and infers the airflow pattern for optimally capturing the airborne dust, and based on the inference result, controls the actuator such as the outlet louver and fan air volume. If the airflow condition after executing the inference result is different from the inference result, the sensing unit converts the new airflow condition into knowledge data through the learning unit and stores it in the database unit to optimize the airflow according to the indoor environment. It is possible to collect suspended dust efficiently.

[0007]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram for controlling the air purifier of the present embodiment, in which the sensing unit 1 senses the indoor environment, and the sensors include a position sensor, a temperature sensor, a concentration sensor, a wind speed sensor, and the like. I am using. As for the mounting position of the sensor, in the case of the non-contact type, it may be inside the air purifier, but normally, it is easier to carry out the sensing when mounted on an indoor member such as a wall or ceiling.

The database unit 2 is composed of calculation results by air flow simulation, experimental results and the like. The data structure includes temperature, wind speed distribution, dust generation position, obstacle structure, and the like, and the optimum blowing wind speed and blowing direction corresponding to these. The inference unit 3 compares and infers the data obtained by the sensing unit 1 and the data of the database unit 2. The inference is performed based on if-then rules. In addition, a method may be adopted in which the database is grouped by membership functions at the time of rule execution, the center of gravity of the inference is obtained, and the focusing of the inference is accelerated (fuzzy inference).

The actuator section 4 is composed of a louver, a fan, etc., and optimal control is performed based on the inference result. In the case of indoor airflow, the blowout itself has a large effect, so the fan air volume, louver angle, etc. are specifically controlled. In the learning unit 5, the actuator unit 4
When the execution result in 1 shows behavior outside the inference of the inference unit 3, the behavior is fed back by the sensing unit 1 to the learning unit 5 as environmental data. The learning unit 5 converts the data into a new database and sends it to the database unit 2.

The data input unit 6 first inputs the indoor property by a person. The property input parameters include the size of the room and the position of the furniture. That is, after the indoor property is input by a person, the database unit 2 and the inference unit 3
Determine the initial setting conditions with. After that, the inference unit 3 compares and infers the sensing unit 1 and the database unit 2 to determine the control method of the actuator unit 4.

If the execution result is different from the inference result,
It is taken in as environmental data by the sensing unit 1, learned by the learning unit 5, and then stocked in the database of the database unit 2 as new data.

[0012]

As described above, according to the present invention, the sensing unit for sensing the indoor environment and the movement of suspended dust, and the data input unit for the optimum blowing wind velocity, blowing direction, etc. corresponding to temperature, wind velocity distribution, dust generation position, etc. The inference unit that infers the airflow pattern for optimally capturing the suspended dust by comparing the data obtained in the sensing unit with the data in the database unit, and the inference of the inference unit An actuator section that controls actuators such as louvers of blow-outs and fan air flow based on the results, and a learning section that sends new data to the database section as new data when the execution results of the actuator section show behavior outside the inference of the inference section. Since it is configured with, the data of the room properties such as the size of the room and the position of the furniture are input to the data input section. After that, the sensing unit detects the indoor environment and the movement of suspended dust and sends the data to the inference unit.The inference unit compares the sent data with the data in the database unit to capture the suspended dust optimally. Infers the airflow pattern and controls the actuators such as the outlet louver and fan airflow based on the inference result.If the airflow condition after executing the inference result is different from the inference result, the sensing unit learns the new airflow condition. By creating knowledge data through the department and stocking it in the database, it is possible to create an optimum air flow according to the indoor environment and efficiently collect suspended dust.

[Brief description of drawings]

FIG. 1 is a block diagram of an embodiment of the present invention.

[Explanation of symbols]

 1 Sensing part 2 Database part 3 Inference part 4 Actuator part 5 Learning part 6 Data input part

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Naoki Okada 1048 Kadoma, Kadoma City, Osaka Prefecture Matsushita Electric Works Co., Ltd.

Claims (1)

[Claims] 1. A sensing unit for sensing the indoor environment and the movement of suspended dust, and a database in which data such as temperature, wind velocity distribution, and the optimum blowing velocity and blowing direction corresponding to the dust generation position are configured in advance via a data input unit. Section, an inference section that infers an airflow pattern for optimally capturing floating dust by comparing the data obtained in the sensing section with the data in the database section, and a louver of a balloon based on the inference result of the inference section, It is characterized by being composed of an actuator part that controls actuators such as fan air volume, and a learning part that sends to the database part as new data as new data when the execution result of the actuator part shows behavior outside the inference of the inference part. air purifier.