Abstract:
An information processing method includes: calculating a probability density distribution of a work time that is at least part of a setup time, based on production performance data read from storage, the setup time being time taken for a setup work that is performed between lots; determining whether the work time is anormal, based on the probability density distribution; and outputting a result of the determining.
Abstract:
A switching power supply apparatus includes: an DC/AC converter unit for converting a DC voltage to an AC voltage based on switching operation of switching devices; a transformer for converting the AC voltage to an AC voltage having a voltage value; a resonance circuit provided between the DC/AC converter unit and the transformer; an AC/DC converter circuit for converting an AC voltage from the transformer to a DC; an output detector unit for detecting an output voltage or an output current of the apparatus; a duty ratio controller unit for controlling a duty ratio of switching of the apparatus such that a detected output voltage or current becomes a target value; an energy detector unit for detecting an energy accumulated in the resonance circuit; and a controller unit for controlling a switching frequency such that a detected energy becomes a threshold value.
Abstract:
An anomaly determination method, in a production management system that manages a production line including first, second, and third production devices, includes: obtaining, from among first, second, and third operating status data of the first, second, and third production devices, respectively, at least the first and third operating status data; when it is determined that the second operating status data was not obtained, predicting a dummy operation timepoint corresponding to a planned production quantity of the second production device, and generating dummy operating status data including the planned production quantity and the dummy operation timepoint; performing anomaly determination processing on production processes as a whole based on the first and third operating status data and the dummy operating status data; and outputting determination result information representing a result of the anomaly determination processing to display the determination result information on a display device included in the production management system.
Abstract:
A system for generating a forecast including a classifier module for receiving from a user, at least one feature and classifying the at least one feature into a plurality of priority groups based on a user preference. The system further includes an artificial intelligence (AI) forecast module in communication with the classifier module for processing the plurality of priority groups with at least one feature. The AI forecast module derive a learning from classification of the at least one feature into the plurality of priority groups; and generate the forecast based on the learning.
Abstract:
A reference capacity determiner determines a reference capacity of each power storage apparatus, under an assumption that power is not transmitted/received among the customer facilities. An actual capacity determiner determines an actual capacity of each power storage apparatus, under an assumption that power is transmitted/received among the customer facilities. A characteristic value determiner determines a first number of charging/discharging cycles, under an assumption that power is not transmitted/received among the customer facilities and each power storage apparatus has the reference capacity. A charging/discharging plan determiner determines a second number of charging/discharging cycles, under an assumption that power is transmitted/received among the customer facilities and each power storage apparatus has the actual capacity, and determine a charging/discharging plan of the power storage apparatuses so as to minimize an objective function indicating a degree of degradation from the first number of cycles to the second number of cycles.
Abstract:
A data analysis device, for analyzing efficiency of an assembly line operation including processes, includes: an input interface configured to acquire log data indicating a history of the processes respectively performed for each time of the assembly line operation; and a control circuit configured to generate analysis information indicating an analysis result of the history indicated by the log data, based on information generated by a probability model to calculate probability distribution for the assembly line operation. The probability model is configured to: generate process efficiency distribution indicating probability distribution of efficiency for each process in the assembly line operation, and variation factor distribution indicating probability distribution of a factor probable to vary the efficiency of the assembly line operation in each process; and generate work efficiency distribution indicating probability distribution of the efficiency of the assembly line operation, based on the process efficiency distribution and the variation factor distribution.
Abstract:
A power controller apparatus predicts demand power of a load apparatus, generated power of a power generator apparatus, and inherent stored energy of a battery apparatus. The power controller apparatus calculates excess electric energy and deficient electric energy achieved when the inherent stored energy reaches higher- and lower-limit stored energies, respectively. The power controller apparatus combines at least one first customer facility and at least one second customer facility having the excess electric energy and the deficient electric energy, respectively, and thus, forms at least one group including the first and second customer facilities. For each group, the power controller apparatus determines transmitting power from the first customer facility to the second customer facility, so that stored energy of each of the battery apparatuses of the first and second customer facilities is equal to or less than a first threshold, and equal to or more than a second threshold.
Abstract:
A long-term predictor circuit predicts a long-term predicted power indicating temporal variations in consumed power of a customer, using a long-term prediction model indicating the variations for each moment of clock times. A short-term predictor circuit predicts a short-term predicted power using a short-term prediction model indicating the variations over a time interval before and after a change in a consumed power of each load apparatus, based on the variations over a time interval immediately before a current time, the short-term predicted power indicating the variations over a time interval immediately after the current time. A controller circuit controls charging and discharging of a battery apparatus by setting a charging power or a discharging power based on the long-term predicted power, and controls discharging of the battery apparatus by setting a discharging power based on the short-term predicted power.
Abstract:
An anomaly determination method, in a production management system that manages a production line including first, second, and third production devices, includes: obtaining, from among first, second, and third operating status data of the first, second, and third production devices, respectively, at least the first and third operating status data; when determined that the second operating status data was not obtained, predicting a dummy operation timepoint and a dummy wait time based on operation timepoints and wait times of preceding and subsequent processes and generating dummy operating status data corresponding to the second operating status data including the dummy operation timepoint and wait time; performing anomaly determination processing on production processes as a whole based on the first, third, and dummy operating status data; and outputting determination result information representing a result of the anomaly determination processing on a display device in the production management system.
Abstract:
A quality estimation device for generating information on quality with which a plurality of unit products are obtained by using a plurality of facilities to pass at least one step, includes: a memory that stores quality control data associating the facilities passed for each of the unit products in the step when the unit products are obtained, with quality for the obtained unit products; and a circuit that controls calculation processing based on the quality control data stored in the memory. The circuit extracts a plurality of pass records from the quality control data, the plurality of pass records each indicating a series of facilities passed by a unit product in the plurality of unit products and quality for the unit product, and generates facility quality information indicating quality with respect to a facility in the plurality of facilities by the calculation processing, based on the extracted pass records.