Systems, methods, and other embodiments associated with long-term predictions for specific maintenance within a planned maintenance schedule. In one embodiment, a method includes updating a failure probability curve for a component part of a device based at least in part on data obtained from a sensor associated with the component part; determining based at least in part on the updated failure probability curve that a likelihood of failure for the component part following a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold; and transmitting a work order for specific maintenance to reduce the likelihood of failure of the component part to be performed during the first upcoming planned maintenance.

Methods and systems for depicting avionics data anomalies in an aircraft. Time series data is received from the avionics data source, a future time is predicted when a first anomaly threshold will be crossed based on the time series data, and the future time when the first anomaly threshold will be crossed is depicted on a display device associated with the aircraft.

A computer readable network analysis program of performing local modeling analysis of determining an estimated value of a current network quality corresponding to explanatory variable vector in current aggregated data based on a local model including local training data; determining an abnormality in the network based on whether or not a measured value of the current network quality is lower than a threshold; determining whether or not a distribution of the connections having the measured value of the network quality exceeding the threshold is present in a large size; extracting an individual-analysis-target connection group including more than predetermined proportions of connections in the distribution of the connections having the large size; and performing the local modeling analysis to the individual-analysis-target connection group and the remaining connection groups to determine the abnormality in the network.

Provided is a monitoring apparatus comprising: an association acquisition unit configured to acquire, for each of a plurality of pieces of equipment, an association with at least one sensor monitoring a state of the each of the plurality of pieces of equipment; a calculation unit configured to calculate, based on at least one measurement value from the at least one sensor associated with each piece of equipment of the plurality of pieces of equipment, a state value of each piece of equipment; a ranking unit configured to rank the plurality of pieces of equipment according to a change width or a change rate in the state value; and a display processing unit configured to perform a processing to display an information screen corresponding to the ranking of the plurality of pieces of equipment.

A method of remotely configuring one or more building system components at a building site uses a cloud-based server remote from the building site. The cloud-based server receives information from an intelligent gateway at the building site that identifies each of one or more building system components at the building site. The cloud-based server is used to create a site configuration that is based at least in part on the identified information for each of the one or more building system components. The site configuration is then downloaded from the cloud-based server to the intelligent gateway such that the intelligent gateway is able to pass configuration information to one or more local controllers that control operation of the one or more building system components.

A method of remotely configuring one or more building system components at a building site uses a cloud-based server remote from the building site. The cloud-based server receives information from an intelligent gateway at the building site that identifies each of one or more building system components at the building site. The cloud-based server is used to create a site configuration that is based at least in part on the identified information for each of the one or more building system components. The site configuration is then downloaded from the cloud-based server to the intelligent gateway such that the intelligent gateway is able to pass configuration information to one or more local controllers that control operation of the one or more building system components.

An abnormality detection apparatus is provided, comprising a target data generation unit configured to generate, based on operation-related data resulting from an operation of a movable apparatus, a plurality of target data that are temporally separated, and a detection processing execution unit configured to execute change detection processing on the plurality of target data. An abnormality detection method that is executed by a computer for detecting an abnormality in a movable apparatus is provided, the method comprising generating, based on operation-related data resulting from an operation of the movable apparatus, a plurality of target data that are temporally separated, and executing change detection processing on the plurality of target data.

A diagnosis device for diagnosing a plant based on an operating state of the plant includes a monitoring data acquisition unit configured to acquire a plurality of monitoring data which are measurement values of a parameter related to the operating state of the plant measured at different times, a diagnosis target pattern generation unit configured to generate a diagnosis target pattern that is a plot pattern where each of the plurality of monitoring data is plotted against plant output data of the plant, and a pattern diagnosis unit configured to diagnose the plant based on the plot pattern of the diagnosis target pattern.

A monitoring target selecting device configured to output a measurement parameter to an abnormality diagnosis device to diagnose an abnormal event of a plant based on a correlation value representing a mutual correlation between measurement parameters, and includes a classification unit to acquire a plurality of measurement parameters measured in the plant, classify a change behavior of measured value over a time for each of the plurality of measurement parameters in a first period, and classify a change behavior of a measured value over a time for each of the plurality of measurement parameters in each of the first period and a second period, and a selection unit to select the measurement parameter as a measurement parameter to be output to the abnormality diagnosis device on the basis of a result of comparing a behavior of the measurement parameters in the first period to the second period.

A management device for a water treatment facility includes: a transmembrane pressure difference prediction unit configured to predict a general trend in a transmembrane pressure difference in a water treatment system based on an operation information, the operation information being related to the water treatment system including a membrane separation device installed therein; a chemical solution cleaning planning unit configured to devise such a chemical solution cleaning plan that chemical solution cleaning is performed before a period when a value of the transmembrane pressure difference predicted reaches a specified value; and a chemical solution order placement information generation unit configured to generate chemical solution order placement information based on the and the cleaning chemical solution stock information.