Device control method and device control system

• US 20060229739A1
• Filed: 06/07/2006
• Published: 10/12/2006
• Est. Priority Date: 02/27/2004
• Status: Abandoned Application

• Current Assignee: Panasonic Corporation (Panasonic Holdings Corporation)
• Original Assignee: Matsushita Electric Industrial Company Limited (Panasonic Holdings Corporation)
• Inventors: Morikawa, Koji
• Application Number:
  US11/448,341
• Publication Number:
  US 20060229739A1
• Time in Patent Office: Days
• US Class Current: 700/19
• CPC Class Codes: G05B 13/027 using neural networks only

Abstract

A storage section stores various sensor signals obtained in an input section together with operation contents instructed in an output section. A signal discrimination section references the storage section to specify a sensor of which output value is influenced by a given operation. An operation result prediction section and an operation determination section generates through learning a prediction model expressing a relationship between the operation and the specified sensor and determines, with the generated prediction model referenced, an operation that allows an output of a target sensor to be a target value.

Claims

1. In a system including at least one device and a plurality of sensors, a device control method for controlling the device, comprising:

a first step of recording an operation of the device into a storage section together with a change in output value of each of the sensors at the operation;

a second step of specifying at least one of sensors of which output value is influenced by the operation from data recorded in the storage section;

a third step of generating, through learning, a prediction model expressing a relationship between the operation and the sensor specified regarding the operation in the second step, from the data recorded in the storage section;

a fourth step of receiving an indication about a target sensor that defines a target state and a target value for an output of the target sensor; and

a fifth step of selecting a model including the target sensor from the prediction model generated in the third step and determining an operation that allows the output of the target sensor to be the target value on the basis of the selected model,

wherein when a configuration of the device and the sensors in the system are changed,

the first step and the second step are executed, and

whether or not a new prediction model is necessary is judged from a processing result in the second step, and

the new prediction model is generated through learning when the new model is judged necessary.

2. The device control method of claim 1,

wherein sensor specification in the second step is executed by obtaining a correlation between the operation and the change in output value of each of the sensor.

3. The device control method of claim 1,

wherein sensor specification in the second step is executed using a neural network.

4. The device control method of claim 1,

wherein in the fifth step, operation determination is executed with a future change in output value of the target sensor taken into consideration.

5. In a system including at least one device and a plurality of sensors, a device control system for controlling the device, comprising:

a storage section for storing an operation of the device together with a change in output value of each of the sensors at the operation;

a sensor specifying section for specifying at least one of sensors of which output value is influenced by the operation from data recorded in the storage section;

a model generation section for generating, through leaning, a prediction model expressing a relationship between the operation and the sensor specified regarding the operation in the sensor specifying section, from the data recorded in the storage section;

a model selection section for receiving an indication about a target sensor that defines a target state and a target value for an output of the target sensor and selecting a model including the target sensor from the prediction model generated by the model generation section; and

an operation determination section for determining an operation which allows an output of the target sensor to be the target value on the basis of the model selected by the model selection section,

wherein when a configuration of the device and the sensors in the system are changed,

the storage section performs storage and the sensor specification section performs sensor specification, and

the model generation section judges whether or not a new prediction model is necessary from a performance result of the sensor specification section and generates the new prediction model through leaning when the new model is judged necessary.

6. The device control system of claim 5,

wherein any one of the at least one device includes the system.