Abstract: A temperature measurement device includes: a detector to detect first Stokes and anti-Stokes components when a light is input into a first end of an optical fiber and detect second Stokes and anti-Stokes components when a light is input into a second end; and a processor to execute a process including: calculating a first section from a first correlation between the second Stokes component and at least one of the first Stokes and the first anti-Stokes components, calculating a second section from a second correlation between the second anti-Stokes component and at least one of the first Stokes and the first anti-Stokes components, smoothing the second Stokes component in the first section, smoothing the second anti-Stokes component in the second section; and measuring a temperature by using the second Stokes and the second anti-Stokes components after smoothing, the first Stokes component and the second Stokes component.

Abstract: An abnormality detection system includes an optical fiber, a Raman scattered light detection unit, and a data processing unit. The detection unit is configured to detect Stokes light and anti-Stokes light which are generated in the optical fiber and to output data on the intensity distribution of the Stokes light in the optical fiber in the length direction thereof and data on the intensity distribution of the anti-Stokes light in the optical fiber in the length direction. The processing unit is configured to calculate the product of a value obtained by applying an FIR filter to the intensity distribution of the Stokes light, and a value obtained by applying the FIR filter to the intensity distribution of the anti-Stokes light for each of locations on the optical fiber in the length direction, and to determine whether or not abnormality is present based on the result of the calculation.

Abstract: A temperature measurement device includes: a light source configured to input a light into an optical fiber; a detector configured to detect a Stokes component and an anti-Stokes component from a back scattering light from the optical fiber; a memory; and a processor configured to execute a process, the process comprising: in a predetermined region including a sample point of the optical fiber, calculating a range including the sample point in accordance with a largeness of a correlation between the Stokes component and the anti-Stokes component; smoothing the Stokes component and the anti-Stokes component in the range; and measuring a temperature of the sample point with use of the Stokes component and the anti-Stokes component that are smoothed by the corrector.

Abstract: A temperature measurement device includes: a detector to detect a first Stokes component and a first anti-Stokes component when a light is input into a first end of an optical fiber and detect a second Stokes component and a second anti-Stokes component when a light is input into a second end; and a processor configured to execute a process comprising: replacing the second anti-Stokes component with a value according to the first Stokes component, the first anti-Stokes component and the second Stokes component when any one of correlations of the second anti-Stokes component to the first Stokes component and the first anti-Stokes component is less than or equal to a threshold value; and measuring a temperature at the sample point by using the first Stokes component, the first anti-Stokes component, the second Stokes component, and the second anti-Stokes component that is replaced in the replacing.

Abstract: A determination device includes: a memory; and a processor coupled to the memory and the processor configured to executes a process, the process comprising: generating a reference model of a sensor detection value; determining whether a time from a predetermined point in time until a deviation between the reference model and the sensor detection value exceeds a threshold is shorter than a predetermined time; and outputting a signal associated with an abnormality when the time is determined to be shorter.

Abstract: A temperature measurement system includes an optical fiber, a temperature distribution measurement apparatus, and a data processing apparatus. The temperature distribution measurement apparatus is configured to detect backscattered light by causing light to enter the optical fiber, and acquire the temperature distribution of the optical fiber in the length direction thereof based on the result of the detection. The data processing apparatus is configured to store therein the temperature distribution acquired by the temperature distribution measurement apparatus, perform signal processing on a difference temperature distribution obtained by computing the difference between a current temperature distribution and a past temperature distribution, and determine whether or not abnormality is present based on the result of the signal processing.

Abstract: A temperature distribution measurement apparatus includes a laser light source optically connected to an optical fiber, a photodetector configured to detect light backscattered in the optical fiber, and a temperature distribution measurement unit configured to obtain a true measured temperature distribution by performing correction calculation using a transfer function on a temporary measured temperature distribution obtained based on an output from the photodetector. The temperature distribution measurement unit stores therein data on a transfer function set for each entire length of the optical fiber and for each longitudinal position in the optical fiber. Then, when the length of the optical fiber is changed, the temperature distribution measurement unit changes the transfer function to be used in the correction calculation by using the data on the transfer function.

Abstract: An estimation apparatus, includes: a sensor, disposed in the proximity of a crank rotor, configured to output a signal in response to a positional variation of an outer periphery of the crank rotor, the crank rotor including a plurality of protruding teeth formed at given distances and a tooth-missing region on an outer periphery of the crank rotor and configured to rotate in an interlocking relationship with a crankshaft of an internal combustion engine; and a processor configured to calculate a crank angular velocity of the internal combustion engine at given time intervals from the signal output from the sensor and estimate a first crank angular velocity corresponding to the tooth-missing region from second crank angular velocities at two or more points corresponding to at least one of portions before and after the tooth-missing region.

Abstract: An engine torque estimation device includes: a memory; a processor coupled to the memory and the processor configured to, acquire a measured value of a crank angle that is a rotation angle of a crank shaft of an engine, derive, based on the measured value of the crank angle, a calculated value of a crank angle speed, and derive an estimated value of an engine torque, based on a non-linear Kalman filter using a first estimation error that is a difference between the calculated value of the crank angle speed and the estimated value of the crank angle speed.

Abstract: A temperature measurement device includes: an optical fiber that is arranged along a predetermined path; a light source configured to input a light into the optical fiber; a measurer configured to measure temperature distribution information in an extension direction of the optical fiber based on a back-scattering light from the optical fiber; and a corrector configured to make a filter for reducing a noise component of temperature distribution information measured by the measurer based on a difference of temperature distribution information between two different regions of the optical fiber in which a common temperature distribution is obtained, and correct the temperature distribution information by applying the filter to the temperature distribution information.

Abstract: An estimation device includes: a memory and a processor, wherein the processor is configured to execute a process including: determining a point of a burning having a higher peak in a predetermined range of a heat release rate based on a peak of a burning having a smaller peak, in a heat release rate waveform in an internal combustion engine that performs a multiple-stage fuel injection; calculating a tangential line of the heat release rate waveform at the point; setting a predetermined point on the tangential line as an initial value for identifying a model parameter of a heat release rate model; identifying the model parameter so that a difference between a calculation value of the heat release rate model and the heat release rate waveform is reduced with use of the initial value; and estimating a heat release rate with a result of an identification of the identifying.

Abstract: An abnormality detection system includes an optical fiber, a backscattered light detection unit, and a data processing unit. The detection unit is connected to one end and the other end of the optical fiber and configured to acquire a first intensity distribution of backscattered light by causing light to enter the optical fiber from the one end, and to acquire a second intensity distribution of backscattered light by causing light to enter the optical fiber from the other end. The processing unit is configured to calculate the product of a value obtained by applying a first FIR filter to the first intensity distribution, and a value obtained by applying a second FIR filter to the second intensity distribution, for each of locations on the optical fiber in the length direction thereof, and to determine whether or not abnormality is present based on the result of the calculation.

Abstract: An abnormality detection system includes an optical fiber, a backscattered light detector, and a data processor. The backscattered light detector is connected to one end side and the other end side of the optical fiber, and configured to acquire a first intensity distribution of backscattered light by making light incident on the optical fiber from the one end side and to acquire a second intensity distribution of backscattered light by making light incident on the optical fiber from the other end side. The data processor calculates transmission loss at each position in the longitudinal direction of the optical fiber by using the first and second intensity distributions and a normalization function, and determines whether or not there is an abnormality based on the result of the calculation.

Abstract: A temperature distribution measurement system includes an optical fiber, a laser light source optically connected to the optical fiber, a photodetector configured to detect light backscattered in the optical fiber, and a temperature distribution measurement unit configured to perform correction calculation using a transfer function on a measured temperature distribution obtained from an output from the photodetector. The temperature distribution measurement unit acquires an actual temperature distribution in a location where the optical fiber is laid and determines appropriateness of the transfer function by computing a difference between the measured temperature distribution after the correction and the actual temperature distribution.

Abstract: A management system includes labels disposed on a management target at respective positions different from each other each of the labels including display parts, the display parts changing respective colors depending on different levels of temperature or humidity, the display parts changing coloring positions depending on the level; an image obtaining unit outputting image data indicating an image of the labels captured by the imaging device; an image processing part performing first or second image processing, the first image processing transforming the image data so that a difference in a number of pixels corresponding to each of the labels among the labels in image data after the transformation is less than that before the transformation, the second image processing recognizing an image of the display parts; and a level detector detecting the level of temperature or humidity based on brightness information of pixels corresponding to the display parts.

Abstract: An information processing apparatus includes a database configured to store a plurality of physical quantities in time-series, a processor, and a memory storing a program causing the processor to execute acquiring the plurality of physical quantities, selecting first explanatory variates, selecting second explanatory variates, generating past case data by acquiring the physical quantities corresponding to the objective variates and an input variate group of the first explanatory variates and the second explanatory variates, searching for predetermined pieces of past case data in the sequence from the shortest of the inter-vector distances, building up the second model from the input variate group in the predetermined pieces of searched past case data and from the objective variates, and predicting values of objective variates from the second model.

Abstract: An abnormality detection system includes an optical fiber, a backscattered light detection unit, and a data processing unit. The detection unit is connected to one end and the other end of the optical fiber and configured to acquire a first intensity distribution of backscattered light by causing light to enter the optical fiber from the one end, and to acquire a second intensity distribution of backscattered light by causing light to enter the optical fiber from the other end. The processing unit is configured to calculate the product of a value obtained by applying a first FIR filter to the first intensity distribution, and a value obtained by applying a second FIR filter to the second intensity distribution, for each of locations on the optical fiber in the length direction thereof, and to determine whether or not abnormality is present based on the result of the calculation.

Abstract: A temperature measuring system includes a laser light source to emit optical pulses, an optical fiber, arranged to pass through a plurality of measuring points, and input with the optical pulses, and a measuring device to detect back-scattering light output from the optical fiber and measure a temperature at the plurality of measuring points, to acquire measured temperature data. The measuring device computes corrected temperature data by varying a degree of smoothing the measured temperature data in a distance direction of the optical fiber, according to a correlation between the measured temperature data and a transfer function peculiar to the temperature measuring system.

Abstract: A temperature measuring system includes a laser light source that emits optical pulses, an optical fiber, arranged to pass through a plurality of temperature measuring points, and input with the optical pulses, and a measuring device that detects back-scattering light output from the optical fiber and measures a temperature at the plurality of measuring points, to acquire measured temperature data. The measuring device computes corrected temperature data by varying a degree of averaging of the measured temperature data in a time direction, according to whether a time-sequential difference temperature data have a spatial correlation or a time correlation within a range that uses a target position of the optical fiber as a reference.

Abstract: A management system includes labels disposed on a management target at respective positions different from each other each of the labels including display parts, the display parts changing respective colors depending on different levels of temperature or humidity, the display parts changing coloring positions depending on the level; an image obtaining unit outputting image data indicating an image of the labels captured by the imaging device; an image processing part performing first or second image processing, the first image processing transforming the image data so that a difference in a number of pixels corresponding to each of the labels among the labels in image data after the transformation is less than that before the transformation, the second image processing recognizing an image of the display parts; and a level detector detecting the level of temperature or humidity based on brightness information of pixels corresponding to the display parts.