Abstract: An instrument classification symbol specifying device includes a processor coupled to a memory. The processor acquires instrument information and a standardized information model. The processor specifies characteristics of an instrument on the basis of the instrument information. The processor determines an instrument classification symbol corresponding to the instrument on the basis of: determination information in which the characteristics of the instrument are associated with the instrument classification symbol, and the specified characteristics of the instrument. When the processor succeeds in specifying the characteristics of the instrument, the processor outputs a result of mapping between the instrument and the instrument classification symbol. When the processor has difficulty in specifying the characteristics of the instrument, the processor causes a display device to display candidates of the characteristics of the instrument.

Abstract: According to one embodiment, an information processing apparatus includes: processing circuitry configured to select, for a first element of a plurality of elements in first information including the elements and including a first relationship between the elements, relationship setting information being information for setting a second relationship between the first element and at least one second element of the elements; set the second relationship between the first element and the at least one second element, based on the relationship setting information; and determine attribute information on the first element, based on the second relationship and the first information.

Abstract: An information processing apparatus includes a mapper that determines a mapping candidate corresponding to a description included in the input data from among hierarchically structured classes or properties included in a standard data model. The mapper detects a class or a property that exactly matches or partially matches, with respect to a schema included in the input data and a content thereof, the content from a class hierarchical structure of the standard data model and a set of properties defined for a class, and determines a first mapping candidate based on the detected class or property.

Abstract: A parameter estimation apparatus of an embodiment of the present invention is provided with a model reduction processor and a parameter estimator. The model reduction processor generates reduced order models by reducing order of a simulation model on the basis of measurement data sets and conditions for model order reduction possibility. The parameter estimator estimates values of parameters of the reduced order models on the basis of the reduced order models and the measurement data sets corresponding to the reduced order models. Further, after estimating a first value for a first parameter of a first reduced order model based on a first measurement data set, the parameter estimator applies the first value to the first parameter of a second reduced order model based on a second measurement data set.

Abstract: An embodiment of the present invention provides an information processing apparatus for detecting an attribute indicated in different tables in common and generating information about the attribute. An information processing apparatus as an embodiment of the present invention includes a detector and an information generator. The detector detects a common attribute indicated in a first table and a second table. The information generator generates information about the common attribute based on contents of the first table and the second table.

Abstract: According to one embodiment, an information processing apparatus includes: processing circuitry configured to select, for a first element of a plurality of elements in first information including the elements and including a first relationship between the elements, relationship setting information being information for setting a second relationship between the first element and at least one second element of the elements; set the second relationship between the first element and the at least one second element, based on the relationship setting information; and determine attribute information on the first element, based on the second relationship and the first information.

Abstract: A characteristic value estimation device has a sensor data input unit to input sensor data detected by one or more sensors, a model input unit to input a first calculation model, a model learning unit to perform learning on a second calculation model, a model switch to select any one of the first calculation model and the second calculation model, a predictive value calculation unit to calculate an error of the calculation model, a probability distribution correction unit to correct the probability distribution of the uncertain parameter, a virtual sensor value estimation unit to estimate sensor data of a virtual sensor arranged virtually, a characteristic value distribution estimation unit to estimate a detailed distribution of the characteristic value, the sensor data of the virtual sensor, and the sensor data of the sensor, and a reliability calculation unit to calculate a reliability of the precise characteristic value distribution.

Abstract: An embodiment of the present invention provides an information processing apparatus for detecting an attribute indicated in different tables in common and generating information about the attribute. An information processing apparatus as an embodiment of the present invention includes a detector and an information generator. The detector detects a common attribute indicated in a first table and a second table. The information generator generates information about the common attribute based on contents of the first table and the second table.

Abstract: A spatial information delivery system according to an embodiment of the present invention includes a partial spatial information generation device, and a plurality of partial spatial information transmission devices existing within a facility. The partial spatial information generation device generates partial spatial information which is part of spatial information relating to the facility and which is specific to each of the partial spatial information transmission devices, for each of the partial spatial information transmission devices based on locations of the partial spatial information transmission devices. Each of the partial spatial information transmission devices transmits the partial spatial information corresponding to the own partial spatial information transmission device.

Abstract: According to one embodiment, an estimation device includes a first parameter generator, an energy simulator, a cost calculator, and a parameter selector. The first parameter generator determines values of one or more constituents of one or more first parameters to generate the one or more first parameters, the one or more constituents representing an operation status of a facility. The energy simulator calculates estimation information of energy consumption related to the first parameters by simulating energy consumption of the facility based on the first parameters. The cost calculator calculates evaluation values of the first parameters based on the estimation information of the energy consumption of the facility and actual performance information of the energy consumption of the facility. The parameter selector selects one of the plural first parameters based on the evaluation values.

Abstract: An operation-draft-plan creation apparatus according to an embodiment of the present invention includes an acquirer, a simulator, and an operation-draft-plan creator. The acquirer acquires a deterioration model regarding performance of a similar measurement target. The similar measurement target is a measurement target considered to be similar to an operation target. The deterioration model is calculated on the basis of a measurement value of the similar measurement target. The simulator performs a simulation concerning deterioration of the performance of the operation target on the basis of the deterioration model regarding the performance of the similar measurement target and a use case example assumed for the operation target. The creator creates an operation draft plan on the basis of a result of the simulation. The operation draft plan indicates an implementation period of maintenance work performed on the operation target.

Abstract: A parameter estimation apparatus of an embodiment of the present invention is provided with a model reduction processor and a parameter estimator. The model reduction processor generates reduced order models by reducing order of a simulation model on the basis of measurement data sets and conditions for model order reduction possibility. The parameter estimator estimates values of parameters of the reduced order models on the basis of the reduced order models and the measurement data sets corresponding to the reduced order models. Further, after estimating a first value for a first parameter of a first reduced order model based on a first measurement data set, the parameter estimator applies the first value to the first parameter of a second reduced order model based on a second measurement data set.

Abstract: A spatial information delivery system according to an embodiment of the present invention includes a partial spatial information generation device, and a plurality of partial spatial information transmission devices existing within a facility. The partial spatial information generation device generates partial spatial information which is part of spatial information relating to the facility and which is specific to each of the partial spatial information transmission devices, for each of the partial spatial information transmission devices based on locations of the partial spatial information transmission devices. Each of the partial spatial information transmission devices transmits the partial spatial information corresponding to the own partial spatial information transmission device.

Abstract: A characteristic value estimation device has a sensor data input unit to input sensor data detected by one or more sensors, a model input unit to input a first calculation model, a model learning unit to perform learning on a second calculation model, a model switch to select any one of the first calculation model and the second calculation model, a predictive value calculation unit to calculate an error of the calculation model, a probability distribution correction unit to correct the probability distribution of the uncertain parameter, a virtual sensor value estimation unit to estimate sensor data of a virtual sensor arranged virtually, a characteristic value distribution estimation unit to estimate a detailed distribution of the characteristic value, the sensor data of the virtual sensor, and the sensor data of the sensor, and a reliability calculation unit to calculate a reliability of the precise characteristic value distribution.

Abstract: According to one embodiment, an equipment evaluation system includes: an estimator, an acquirer, a hardware storage and an evaluator. The estimator is implemented by the computer, to estimate a probability density distribution of a parameter representing performance of subject equipment based on measurement data of the subject equipment, the measurement data resulting from a measurement performed at each of a plurality of times. The acquirer acquires a use pattern of the subject equipment. The hardware storage stores the use pattern in association with the probability density distribution for the subject equipment. The evaluator identifies a use pattern of the subject equipment, the use pattern being similar to a use pattern of a first equipment that is different from the subject equipment, and evaluates future performance degradation of the first equipment using probability density distributions corresponding to the identified use pattern.

Abstract: According to one embodiment, a search device includes: a storage to store semantic relationships between components and three-dimensional information of the components; an analyzer to analyze an entered search expression of a component satisfying first and second search conditions wherein the first search condition defines a condition of a component using the semantic relationships and the second search condition defines a condition of a component using the three-dimensional information to thereby generate structure information; a first searcher to interpret and execute a search expression based on the semantic relationships; a second searcher configured to interpret and execute a search expression based on the three-dimensional information; a generator to generate first and second search expressions from parts of the structure information that correspond to the first and second search conditions, respectively; and a search result integrator to integrate the search results of the first search expression and t

Abstract: A building information processing device includes: a database, a searcher, an extractor, a corrector and a combiner. The searcher searches the database for first records based on an inquiry index including a value of at least one attributes. The extractor extracts a first difference indicating a value of the attribute that is present in the inquiry index but not in the index included in the first record, and a second difference indicating a value of the attribute that is not present in the inquiry index but is present in the index. The corrector generates corrected indices by replacing the second difference in the index by the first difference, and calculates data of the corrected indices based on the first difference and the second difference. The combiner generates a combined index by combining the corrected indices, and calculates data of the combined index based on the data of the corrected indices.

Abstract: According to one embodiment, an estimation device includes a first parameter generator, an energy simulator, a cost calculator, and a parameter selector. The first parameter generator determines values of one or more constituents of one or more first parameters to generate the one or more first parameters, the one or more constituents representing an operation status of a facility. The energy simulator calculates estimation information of energy consumption related to the first parameters by simulating energy consumption of the facility based on the first parameters. The cost calculator calculates evaluation values of the first parameters based on the estimation information of the energy consumption of the facility and actual performance information of the energy consumption of the facility. The parameter selector selects one of the plural first parameters based on the evaluation values.

Abstract: According to one embodiment, an equipment evaluation system includes: an estimator, an acquirer, a hardware storage and an evaluator. The estimator is implemented by the computer, to estimate a probability density distribution of a parameter representing performance of subject equipment based on measurement data of the subject equipment, the measurement data resulting from a measurement performed at each of a plurality of times. The acquirer acquires a use pattern of the subject equipment. The hardware storage stores the use pattern in association with the probability density distribution for the subject equipment. The evaluator identifies a use pattern of the subject equipment, the use pattern being similar to a use pattern of a first equipment that is different from the subject equipment, and evaluates future performance degradation of the first equipment using probability density distributions corresponding to the identified use pattern.

Abstract: An estimation device according to an aspect of the present invention includes an estimator and a selector. The estimator, for each of a plurality of times, estimates a probability density distribution of a parameter representing a state of a diagnosis object, based on a measurement value of the diagnosis object, the measurement value being measured up to each of the times. The selector selects one or more probability density distributions meeting a predetermined condition relating to the probability density distribution.