Abstract: A quality management apparatus includes an acquisition unit and an extraction unit. The acquisition unit acquires, about products to be managed, a rate of occurrence of a malfunction on an occurrence period basis, an operation condition of the products, and a manufacturing condition for the products. The extraction unit classifies the rate of occurrence into layers under the operation condition, and extracts, for each layer under the operation condition, a relationship between the rate of occurrence and the manufacturing condition.

Abstract: An automatic moving object obtains, from a sensor, operating data and external environment data of the automatic moving object, constructs a plurality of operation models based on the operating data and the external environment data, and controls automatic movement of the automatic moving object based on the constructed plurality of operation models. An automatic moving object transmits the constructed plurality of operation models to another automatic moving object. An automatic moving object receives a plurality of operation models from another automatic moving object, and controls automatic movement based on the received plurality of operation models.

Abstract: An automatic moving object obtains, from a sensor, operating data and external environment data of the automatic moving object, constructs a plurality of operation models based on the operating data and the external environment data, and controls automatic movement of the automatic moving object based on the constructed plurality of operation models. An automatic moving object transmits the constructed plurality of operation models to another automatic moving object. An automatic moving object receives a plurality of operation models from another automatic moving object, and controls automatic movement based on the received plurality of operation models.

Abstract: An operation model construction system includes a data acquisition unit that acquires operating data and external environment data of a moving object, an associated data accumulation unit that accumulates associated data obtained by classifying the external environment data into plural items and associating the operating data with the respective items, and an operation model construction unit that constructs plural operation models to operate the moving object, based on the associated data.

Abstract: An information processing apparatus, including a collection unit that collects position data representing a position of a moving body and operating data representing an operating state of the moving body, during a movement of the moving body, a range setting unit that sets a range in which the moving body is likely to cause a collision, based on a movement distance and direction required until a braking of the moving body, when a control of the moving body is difficult, an extraction unit that extracts a moving body existing within the range or a moving body which is likely to enter into the range, and a transmitting unit that transmits information representing possibility of being collided, to the moving body extracted by the extraction unit.

Abstract: Provided is a moving body control apparatus including a collection unit that collects date and time data, position data, and first operating data of a moving body and a controller that controls the moving body based on a result of comparison between reference operating data corresponding to the date and time data and the position data, and the first operating data, wherein, when a difference between second operating data in case of an accident and third operating data in case of no accident meets a predetermined condition, the reference operating data is generated based on the third operating data.

Abstract: A monitoring device includes an estimation unit, a detection unit, and a correction unit. The estimation unit estimates a degree of degradation of a moving object based on at least an amount of movement of the moving object. The detection unit detects an environment state of the moving object at a time when the moving object is moved, as operation parameter values including an amount of an operation at a time when an operation unit is operated and an operation time. The correction unit corrects the degree of degradation, which is estimated by the estimation unit, based on the operation parameter values detected by the detection unit.

Abstract: An operation model construction system includes a data acquisition unit that acquires operating data and external environment data of a moving object, an associated data accumulation unit that accumulates associated data obtained by classifying the external environment data into plural items and associating the operating data with the respective items, and an operation model construction unit that constructs plural operation models to operate the moving object, based on the associated data.

Abstract: An information processing apparatus, including a collection unit that collects position data representing a position of a moving body and operating data representing an operating state of the moving body, during a movement of the moving body, a range setting unit that sets a range in which the moving body is likely to cause a collision, based on a movement distance and direction required until a braking of the moving body, when a control of the moving body is difficult, an extraction unit that extracts a moving body existing within the range or a moving body which is likely to enter into the range, and a transmitting unit that transmits information representing possibility of being collided, to the moving body extracted by the extraction unit.

Abstract: Provided is a moving body control apparatus including a collection unit that collects date and time data, position data, and first operating data of a moving body and a controller that controls the moving body based on a result of comparison between reference operating data corresponding to the date and time data and the position data, and the first operating data, wherein, when a difference between second operating data in case of an accident and third operating data in case of no accident meets a predetermined condition, the reference operating data is generated based on the third operating data.

Abstract: A quality management apparatus includes an acquisition unit and an extraction unit. The acquisition unit acquires, about products to be managed, a rate of occurrence of a malfunction on an occurrence period basis, an operation condition of the products, and a manufacturing condition for the products. The extraction unit classifies the rate of occurrence into layers under the operation condition, and extracts, for each layer under the operation condition, a relationship between the rate of occurrence and the manufacturing condition.

Abstract: A monitoring device includes an estimation unit, a detection unit, and a correction unit. The estimation unit estimates a degree of degradation of a moving object based on at least an amount of movement of the moving object. The detection unit detects an environment state of the moving object at a time when the moving object is moved, as operation parameter values including an amount of an operation at a time when an operation unit is operated and an operation time. The correction unit corrects the degree of degradation, which is estimated by the estimation unit, based on the operation parameter values detected by the detection unit.

Abstract: A prediction apparatus includes: an acquisition unit that acquires an operation amount and a non-operation amount of a transporting unit that transports a medium; and a prediction unit that predicts a timing at which a transporting capability value changing with degradation of the transporting unit arrives at a threshold value using the operation amount and the non-operation amount of the transporting unit acquired by the acquisition unit based on (i) a relational expression between the operation amount of the transporting unit and the transporting capability value of the transporting unit and (ii) a relational expression between the non-operation amount of the transporting unit and the transporting capability value of the transporting unit.

Abstract: An image processing apparatus includes a determination unit determining, based on a pixel value of a prescribed background color area in image data obtained by inputting a printed image, and based on information regarding a color of a toner used in printing the image, whether or not the background color of the image corresponds to the color of the toner.

Abstract: A monitoring device includes: a receiving unit that receives information including first use mode information transmitted from a first information processing device; a memory unit that stores the received first use mode information; a creating unit that creates, when the receiving unit receives trouble information together with the first use mode information, a trouble prediction formula corresponding to the trouble information using second use mode information of a second information processing device in which the same trouble as that indicated in the trouble information has occurred; a storing unit that stores the created trouble prediction formula; and a determining unit that determines, when the receiving unit receives third use mode information of a third information processing device, whether or not a trouble in the third information processing device occurs in a high probability based on the stored trouble prediction formula and the received third use mode information.

Abstract: A medium transport device includes a sensor unit, a timing data collection unit, and a sampling resolution changing unit. The sensor unit is provided in a transport path of a print recording medium to detect a transport timing of the print recording medium. A timing data collection unit receives an output from the sensor unit and samples the output at a sampling interval as timing data. A sampling resolution changing unit changes the sampling interval.

Abstract: An image formation apparatus, which includes: a detector unit that detects a status of consumables; a prediction unit that predicts a run-out timing of the consumables on the basis of the status detected by the detector unit; a transmission unit that transmits the status detected by the detector unit to a management apparatus as consumables information; a reception unit that receives run-out timing information indicating a run-out timing predicted by the management apparatus on the basis of the consumables information transmitted by the transmission unit; and a notification unit that notifies the run-out timing of the consumables on the basis of the run-out timing information received by the reception unit if communication with the management apparatus is possible, or notifies the run-out timing of the consumables on the basis of the run-out timing predicted by the prediction unit if communication with the management apparatus is not possible.

Abstract: A paper wrinkle sign monitoring device includes: at least one timing detecting unit that is set on a transport path of a printing medium, and that detects transport timing of the printing medium; and a sign output unit that detects a sign of paper wrinkle generation in the transporting time of the printing medium based on the transport timing of the printing medium detected by the timing detecting unit, and that outputs the sign.

Abstract: A detected data processing apparatus includes a selecting unit that calculates mutual correlation between a plurality of groups of detected data acquired from a detecting unit that detects an operational state of a circuit board, and then selects as analysis data the detected data of a group whose value indicating correlation with other groups is smaller than a threshold value set up in advance; and a first calculating unit that calculates a first Mahalanobis distance on a basis of a first Mahalanobis space generated by using the analysis data selected by the selecting unit from the detected data obtained when a normal circuit board is operated and on a basis of the detected data obtained when a circuit board of diagnosis target is operated.

Abstract: According to an aspect of the present invention, there is provided a failure diagnosis system including: a causal relationship information storage unit configured to store causal relationship information representing a causal relationship between events regarding a diagnosis-target apparatus, the causal relationship information including: common causal relationship information that is commonly used in a plurality of types of failure diagnosis regarding the diagnosis-target apparatus; and specific causal relationship information that is used in each specific type of failure diagnosis among the plurality of types of failure diagnosis; and a diagnosis execution unit configured to selectively execute the plural types of failure diagnosis by using a combined causal relationship information that is a combination of the common causal relationship information and a piece of the specific causal relationship information corresponding to a diagnosis-target type of failure diagnosis.