Hitachi, Ltd.

Happiness Planet, Ltd.

Miki Hayakawa

Norio Ohkubo

Kazuo Yano

Norihiko Moriwaki

Nobuo Sato

Hiroyuki Tomita

Satomi Tsuji

Shinichi Fukuma

Yoshihiro Iwama

Koji Ara

Yoshihiro Wakisaka

Masaru Oda

Tomoaki Akitomi

Yuuichi Ogawa

Masaki Komatsu

A reference time point which is equivalent to a fault-prediction-execution time point is sequentially changed by setting, as a symptom sensing period, a period from a time point which is a predetermined first period-length before the reference time point until the reference time point, and by setting, as a prediction target period, a period from the reference time point until a time point which is a predetermined second period-length after the reference time point if a fault does not occur in the period from the reference time point until the time point which is the second period-length after the reference time point, and a period from the reference time point until a fault-occurrence time point if a fault occurs in the period from the reference time point until the time point which is the second period-length after the reference time point, and machine learning is performed by using, as an explanatory variable, a feature quantity based on the operation log information of the symptom sensing period, and using, as a response variable, a fault index value based on whether or not there is a particular-event occurrence in the operation log information corresponding to a fault occurrence in the fault record information of the prediction target period, and a period-length from the reference time point until the fault-occurrence time point.

Fault predicting system and fault prediction method

A generation technique and an analysis technique of a large number of explanatory variables to derive effective measures by using various data are provided. Specifically, a factor which lurks in a large amount of data and affects business performance is identified by automatically generating a large number of explanatory variables and performing correlation analysis between the explanatory variables and an objective variable. Three operators representing condition, target, and arithmetic which are variable generation conditions are defined in advance for data inputted into an analysis system and a large number of explanatory variables are automatically generated by these operators.

Data integrated analysis system

An analysis system analyzes a state of a person and includes a terminal configured to be worn on the person's body. The terminal includes an acceleration sensor, a storage unit, and a processing unit. The processing unit determines whether each value contained in the time series data is in a first state in which the value is equal to or greater than the threshold or in a second state in which the value is less than the threshold. The processing unit also determines a duration which is a period of time during which the first state continues. The processing unit quantifies a brain state of the person on the basis of the duration.

System that measures different states of a subject

Wearable sensor

In order to solve the problem of an increase in the number of electronic devices that transmit specific signals and are installed inside a store in order to obtain traffic line information, the present invention calculates position coordinates in a facility using a calculation formula based on the number of signals received and the pattern of the number of signals received, and determines traffic line information.

Behavior analysis device

Provided is a sensor system provided with: a terminal apparatus that has a sensor; and a base station that communicates with the terminal apparatus. The terminal apparatus stores acquisition frequency of a measurement data set to be transmitted to the base station, in measurement data sets of the sensor, and transmits first data that includes a reference time of an acquisition period of the measurement data sets of the sensor and the acquisition frequency, and second data that corresponds to the first data and that includes multiple measurement data sets, of the sensor, which have been acquired at the acquisition frequency in the acquisition period. The base station identifies the acquisition time of each of the measurement data sets included in the second data corresponding to the first data, on the basis of the reference time and the acquisition frequency included in the first data.

Sensor system and method of collecting data

According to an embodiment of the preset invention, in a sensor terminal that is worn by a person, and detects that respective wearers face each other by the aid of an optical communication, a plurality of optical transmit/receive units each having at least one of a transmission unit that emits the light to transmit data, and a reception unit that receives the light to receive the data is arranged within the housing, and the plurality of optical transmit/receive units is arranged so that light emission axes of the transmission units, or extension lines of light detection axes of the reception units approaches each other.

Sensor terminal

There is disclosed a sensor node capable of transmitting and receiving a large amount of data or data desired to be reliable without missing data, while preventing battery exhaustion and unnecessary compression of the transmission bandwidth. A name-tag type sensor node includes a detector for detecting connection of an external power supply. When the detector detects that the external power is supplied, the name-tag type sensor node transmits and receives a large amount of data, such as bulk transmission data, at an increased frequency by means of a data selector, a communication timing controller, and a wireless communication controller. Alternatively, the name-tag type sensor node transmits and receives the data desired to be reliable, such as rewriting data of firmware.

Growing community of inventors

Tokyo, Japan

Miki Hayakawa