Hitachi, Ltd.

Hitachi Construction Machinery Co., Ltd.

Xanavi Informatics Corporation

Clarion Co

Junsuke Fujiwara

Hideaki Suzuki

Yoshinori Endo

Kenichiro Yamane

Kimiyoshi Machii

Munetoshi Unuma

Takayuki Uchida

Shigeru Matsuo

Masatoshi Kumagai

Takayoshi Yokota

Tomoaki Hiruta

Takumi Fushiki

Shinya Yuda

Shoji Suzuki

Tsutomu Yamada

Kozo Nakamura

Mariko Okude

Katsuaki Tanaka

Hirotaka Takahashi

Tatsuya Maruyama

Toshiyuki Odaka

Yoshihito Sato

Hiroshi Ogura

Toshiaki Kono

Hideo Hiroshige

Mitsuo Aihara

Teruo Nakamura

Nobuyoshi Hirowatari

Sensor combinations that are effective for failure sign diagnosis are automatically generated in consideration of hidden relationships between sensor data. The present invention includes: a time shift data generation unitthat processes sensor data acquired from an instrument and generates the processed sensor data; and a sensor combinations/pre-processing condition generation unitthat generates sensor combinations on the basis of correlation coefficients between the sensor data and the processed sensor data, and generates, as a preprocessing condition, a processing condition that increases a correlation coefficient between sensors for each sensor combination, in which the failure sign diagnosis of the instrument is performed on the basis of a change in the relationship between the sensor data included in the sensor combination and the processed sensor data.

Failure sign diagnosis device and method therefor

The abnormality diagnosis system detects a failure sign of a device to be diagnosed. The abnormality diagnosis system includes: a diagnosis process search unit which searches for a suitable diagnosis processing procedure by comparing a plurality of diagnosis processing procedures, and outputs reconfiguration information corresponding to the suitable diagnosis processing procedure; and a diagnosis processing unit which has a reconfigurable processing unit and which uses the suitable diagnosis processing procedure found by the diagnosis process search unit to detect a failure sign of the device to be diagnosed by reconfiguring the processing unit on the basis of the reconfiguration information.

Abnormality diagnosis system that reconfigures a diagnostic program based on an optimal diagnosis procedure found by comparing a plurality of diagnosis procedures

A diagnostic apparatus determines, at a reference time, whether a device is normal or abnormal, and in which operation state the device is at the time. A reference data creation unit repeats a process of storing sensor values acquired from the device while changing the operation state at the reference time in association with each of the determined operation states until there is no non-corresponding operation state with which the acquired sensor value is not yet associated. At a diagnosis time at which it is not known whether the device is normal or abnormal, an operation state and a sensor value of the device at the time is acquired. The stored sensor value associated with the acquired operation state is read to compare the sensor value acquired at the diagnosis time with the read sensor value to display a result of determination on whether the device is normal or abnormal.

Diagnostic apparatus, diagnostic method, and diagnostic program

A rotary machine diagnostic device has a current acquisition unit that acquires current from a sensor, which measures the driving current of a rotary machine driving a machine to be driven; a sampling unit that performs sampling of the acquired driving current; a frequency range conversion unit that converts data concerning the time range subjected to sampling into a frequency range; a sideband detection unit that sets the driving current as a carrier wave in the frequency range, and detects, as a sideband, the spectrum appearing on each side of the carrier wave subjected to amplitude modulation; and an abnormality detection unit that detects whether or not there are abnormalities in the rotary machine and the machine to be driven on the basis of the difference in frequency between the sideband frequency detected by the sideband detection unit and the frequency of the carrier wave.

Diagnostic device and diagnostic method for rotary machine

An analysis device for time series data from an apparatus to be diagnosed is provided with an accumulation device which accumulates sensor data, operation data, or control data, obtained from the apparatus, while accumulating time information, an algorithm accumulation unit which accumulates algorithms for recognizing behavior of the apparatus, a behavior recognition unit which recognizes behavior of the apparatus by using a recognition algorithm, and a specification unit which specifies a behavioral item to be recognized. A behavior recognition algorithm corresponding to the specified behavioral item is selected from the algorithm accumulation unit; sensor data, operation data, or control data is selected from the accumulation device; start and end times of a selected behavior are recognized by the behavior recognition unit; and the recognized start and end times are associated with time information about data accumulated in the accumulation device.

Analysis method for time series data and device therefor

The maintenance management deviceincludes an error status diagnosis unit, a grace period estimation unit, a maintenance cost estimation unit, and a screen display unit. When the error status diagnosis unithas diagnosed the occurrence of an anomaly, the grace period estimation unitestimates a first grace period leading up to the occurrence of a failure. The maintenance cost estimation unitestimates the cost of corrective maintenance incurred when the failure occurs after the elapse of the first grace period. The screen display unitdisplays a combination of the first grace period and the cost of corrective maintenance. Alternatively, the grace period estimation unitestimates a second grace period over which preventive maintenance may be postponed without a failure.

Maintenance management device for operating machinery

The device for searching for similar breakdown cases according to the present invention includes: a first means that detects a signal abnormality from a repair target machine, calculates the correlations between the signal abnormality and past abnormality cases by means of quantification, and regards the past abnormality cases as similar abnormality cases; a second means that obtains the component repair histories of the repair target machine in the similar abnormality cases by means of quantification; and a third means that, in accordance with the quantified correlations and the quantified component repair histories, determines and provides the priority levels of the plural past similar abnormality cases.

Device for searching and method for searching for similar breakdown cases

In industrial machine abnormality diagnosis, if the machine is diagnosed to have abnormality, then sensor data from the machine needs to be sent to a management center for causal analysis. However, since machines operated at a remote site cannot always communicate with a management center, it has been found that, in some cases, sensor data that has failed to be sent from a machine remains in the memory of the machine, resulting in lack of available memory capacity. In view of this, the present invention determines beforehand whether the diagnosed machine will run out of available memory capacity before the completion of sending the amount of sensor data required for causal analysis for the machine, and instructs a maintenance person to recover memory. This determination as to whether the machine will run out of available memory capacity before the completion of sending the amount of sensor data required for the causal analysis for the machine, is made as follows: (1) first, the machine predicts the run-out date on which the machine will run out of memory capacity for storing sensor data generated in the machine, and sends a notification of the predicted run-out date to the management center for the machine; and (2) next, from the amount of sensor data required for the causal analysis and the reception rate of sensor data, the management center calculates the number of days required to retrieve the necessary data for the causal analysis and determines whether the management center can retrieve the data by the predicted run-out date.

Abnormality diagnosis method and device therefor

A condition monitoring system includes a terminal system unit and a condition monitoring system unit connected together via radiocommunication channels. The terminal system unit is mounted on a self-propelled machine, while the monitoring system unit is arranged at a control center. The monitoring system unit is provided with a unit for setting an alarm delivery condition, another unit for setting an aggregation condition, a further unit for transmitting the alarm delivery condition and aggregation condition so set, and a screen display unit for displaying various information. The terminal system unit is provided with an alarm creation unit for creating alarm information according to the alarm delivery condition so transmitted, an aggregate data creation unit for creating aggregate data according to the transmitted aggregation condition, and a data transmitting unit for transmitting the alarm information and aggregate data so created.

Condition monitoring system, condition monitoring system unit, and terminal system unit

Provided is an operation data collection device for construction machines that is capable of efficiently collecting operation data indicative of impending failure of a construction machine by reducing the amount of information to be collected and stored without degrading the quality of information used for maintenance. The device receives operation data containing values measured by a plurality of sensors, a value indicating the operating status and an operation data storage section. The device includes a normal reference value storage section that stores a normal reference value for each of the sensors generating the operation data, a deviation calculation section that calculates the deviation of each of the sensors from the normal reference value, and a stored sensor item extraction section that extracts sensor items of operation data to be stored in the operation data storage section in accordance with the calculated deviation of each sensor.

Operation data collection device for construction machines

A predicted-failure-evidence diagnosing section for equipment that does not depend on the equipment and does not require knowledge of the equipment is provided. On the basis of a result of a predicted-abnormality-evidence diagnosis carried out by this section on time-series data gathered from the equipment, an allowable error used for compressing the gathered data can be set and managed in order to compress the data if the result of the diagnosis is normal or to restrict the compression of the data during a period in which an evidence of a predicted abnormality is detected. Thus, the amount of data stored in a memory can be reduced.

Time-series data diagnosing/compressing method

Disclosed is a traffic information distribution apparatusincluding date-time information in traffic information acquired by the traffic information acquire unitor generated by the traffic information prediction unit, and accumulates the traffic information in the traffic information DB. When the traffic information distribution apparatusreceives distribution request information transmitted from the in-vehicle terminal, based on date-time information of reference traffic information held by the in-vehicle terminalincluded in the distribution request information, the traffic information distribution apparatusretrieves traffic information including the same date-time information as the date-time information of the reference traffic information from the traffic information DB. Then, difference traffic information generation unitgenerates difference traffic information between the retrieved traffic information and traffic information to be distributed, and the traffic information distribution apparatusdistributes the generated difference traffic information to the in-vehicle terminal

Traffic information distribution method, traffic information distribution apparatus and in-vehicle terminal

A wireless communication system includes a wireless communication apparatus (fixed terminal) resided in a fixed station side providing a wireless antenna, a wireless communication unit, a server processing unit, a task list, a data communication unit, a buffer management unit and a buffer, and a wireless data transport apparatus (mobile terminal) resided in a mobile station side providing the wireless antenna, the wireless communication unit, a server determination unit, a task list I/O unit, the task list, a client processing unit and the buffer, thereby, the mobile terminal receives the task list from the fixed terminal to communicate data with another fixed terminal and transports not only the data but also a data acknowledgement, and the fixed terminal creates the acknowledgement to use the acknowledgement to thereby control a creation and deletion of bulk data appropriately.

Wireless data transport apparatus and wireless data transport system

A statistic DB creation processing section creates a statistic traffic DB, based on past actual traffic data (probe DB or VICS DB), and stores it in a statistic DB storage section. A reference-link-candidate extraction processing section extracts a complement target link (temporal missing link) from the statistic traffic DB, and further extracts complementary-reference-link-candidates for the complement target link, according to plural extraction rules to extract complementary-reference-link-candidates. A complement-evaluation application processing section calculates correlation coefficients of the statistic traffic data of the complementary-reference-link-candidates to the statistic traffic data of the complement target link for the respective extraction rules, assigns a priority order to the extraction rules in the order of higher correlation coefficient, and complements the missing data of the statistic traffic data of the complement target link by the use of the statistic traffic data of the complementary reference link extracted by the extraction rule of the highest priority.

Apparatus and method for generating statistic traffic information

A route to a destination in which required travel time barely varies depending on weather is searched for without referring to weather forecast or weather information. A route search device comprises following means: a storage medium for storing traffic information including travel times by weather conditions for each link comprising a road on a map; a pointing device which sets a starting point and a destination; a weather condition-based route search module that determines the shortest travel time route from the starting point to the destination by weather conditions using the traffic information stored in the storage medium; a link series-identifying module that extracts link series which vary with weather conditions from link series comprising the shortest travel time route determined by the weather condition-based route search module, determines the required travel time by weather conditions for the each link series that vary with weather conditions by using the traffic information stored in the storage medium, and identifies a link series whose required travel time barely varies depending on weather conditions; and a link series-registering medium that registers the link series identified by the link series-identifying module as a link series comprising a guide route from the starting point to the destination.

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Tokyo, Japan

Junsuke Fujiwara