Abstract: A time-series data processing device (10) includes: a protruding data extracting unit (2) for extracting, from time-series data (1) which is a sequence of values obtained from sequential observation with the elapse of time, protruding data including an ascending leg a value of which continuously rises with respect to time and a descending leg a value of which continuously drops with respect to time; an occurrence pattern defining unit (3) for defining an occurrence pattern of protruding data in the time-series data (1); and an occurrence pattern detecting unit (4) for detecting, as a segment (5), one or more pieces of protruding data matching the occurrence pattern defined by the occurrence pattern defining unit (3), from among a set of pieces of protruding data extracted by the protruding data extracting unit (2).

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: A time-series data processing device (10) includes: a protruding data extracting unit (2) for extracting, from time-series data (1) which is a sequence of values obtained from sequential observation with the elapse of time, protruding data including an ascending leg a value of which continuously rises with respect to time and a descending leg a value of which continuously drops with respect to time; an occurrence pattern defining unit (3) for defining an occurrence pattern of protruding data in the time-series data (1); and an occurrence pattern detecting unit (4) for detecting, as a segment (5), one or more pieces of protruding data matching the occurrence pattern defined by the occurrence pattern defining unit (3), from among a set of pieces of protruding data extracted by the protruding data extracting unit (2).

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: A quality control apparatus (20) includes: a regression analyzer (33) for calculating a regression formula on the basis of measurement values acquired from an upstream step and comparative measurement values acquired from a downstream step; a margin determination unit (34) for calculating a prediction value by substituting a determination reference value defining a determination reference range in the upstream step for an explanatory variable of the regression formula, comparing the prediction value with a comparative determination reference range in a downstream step, and determining whether the measurement values are accepted; and a reference value calculator (35) for calculating a new determination reference value to replace the determination reference value in accordance with the determination result.

Abstract: In an insect pest attraction lighting system which irradiates a field with attraction light for attracting insect pests to keep the insect pests away from a plant, an effect of protection against diurnal insect pests is improved. An insect pest attraction lighting system 1 includes: a setting unit 2 which sets, as an operating time zone, an arbitrary time zone during nighttime; an artificial sunlight source unit 3 which irradiates the entirety of an interior of a plastic greenhouse H1 with artificial sunlight which does not include wavelength components of 500 to 600 nm, in the operating time zone; and an attraction light source unit 4 which irradiates a portion of the interior of the plastic greenhouse H1 with attraction light in the operating time zone.

Abstract: A data receiving part receives data transmitted from a plurality of measuring devices. A time determining part distinguishes management time from date and time of the data. The record generating part stores data of the same management time which are received during a predetermined acceptance time, in the same record. When un-arrived data belonging to the same management time exists at the end of the acceptance time, arrival of the un-arrived data is waited for during a predetermined wait time. Even if the data is arrived with some delay, arrival-delayed data can be stored in the same record. Thus, the missing data occurrence frequency can be suppressed.

Abstract: A data receiving part receives data transmitted from a plurality of measuring devices. A time determining part distinguishes management time from date and time of the data. The record generating part stores data of the same management time which are received during a predetermined acceptance time, in the same record. When un-arrived data belonging to the same management time exists at the end of the acceptance time, arrival of the un-arrived data is waited for during a predetermined wait time. Even if the data is arrived with some delay, arrival-delayed data can be stored in the same record. Thus, the missing data occurrence frequency can be suppressed.

Abstract: In an insect pest attraction lighting system which irradiates a field with attraction light for attracting insect pests to keep the insect pests away from a plant, an effect of protection against diurnal insect pests is improved. An insect pest attraction lighting system 1 includes: a setting unit 2 which sets, as an operating time zone, an arbitrary time zone during nighttime; an artificial sunlight source unit 3 which irradiates the entirety of an interior of a plastic greenhouse H1 with artificial sunlight which does not include wavelength components of 500 to 600 nm, in the operating time zone; and an attraction light source unit 4 which irradiates a portion of the interior of the plastic greenhouse H1 with attraction light in the operating time zone.

Abstract: A behavior index indicates a development of occurrence of events included in log data by a connection of a plurality of nodes, and includes a branching node connecting to two or more subsequent nodes and an integrating node connected to two or more preceding nodes. When a regular expression converting part inputs a search condition indicating an event appearance order from a client, a search automaton retaining part generates a state transition table in accordance with the search condition. While a node type determining part determines the node types of the respective nodes of the behavior index, a state evaluating part analyzes the respective nodes to determine the states of the respective nodes, and determines whether or not a state transition pattern matches the state transition table. Regarding a branching node, the respective nodes of each of branching routes branching from the branching node are analyzed.

Abstract: When an instance targeted for tracking is divided or replicated to generate a new instance, ready and continuous tracking of a history of an event related to the original instance and the new instance is allowed. A behavior ID is assigned to an event for each instance, and an occurrence order of the event is managed for each instance. When a new instance has been generated from an instance due to a certain event, a new behavior ID is assigned to the new instance, with respect to that event. Then, the new identifier and an identifier assigned to the instance that is a generation source for the event are associated.

Abstract: The present invention aims to control elements to improve operation efficiency of a plant based on a correlation value of the past accumulated data. According to the invention, an optimal operation controller obtains a correlation between a state of a predetermined process and each element based on an operation status of the plant to be controlled, storing the correlation in a correlation table, and compute an operation efficiency for each element based on the operation status of the plant. Also, the operation controller has a categorization efficiency table for storing the computed operation efficiency of the predetermined process. The operation controller refers to the categorization efficiency table based on a data input from the plant, and outputs an instruction to control the each element accordingly.

Abstract: The present invention aims to control elements to improve operation efficiency of a plant based on a correlation value of the past accumulated data.