An apparatus for configuring validation, estimation, and editing (VEE) rules for performing VEE on interval-based energy consumption streams includes a data stores, a rules processor, and a process control element. The stores provides tagged data sets each associated with a corresponding one of the streams, each of the sets comprising groups of contiguous interval values tagged as having been validated. The rules processor reads the stores upon initiation of an event and, for the each of the sets, creates anomalies having different durations using only the groups of values, the groups of values corresponding to correct data, and generates estimates for the anomalies by employing estimation techniques for each of the durations and, for the each of the durations, selects a corresponding one of the techniques for subsequent employment when performing VEE of subsequent energy consumption data associated with the each of the durations for the corresponding one of the streams. The control element executes functions on the streams translated by the rules processor, and directs one or more system elements to change state.

An apparatus for configuring validation, estimation, and editing (VEE) rules for performing VEE on interval-based energy consumption streams includes a data stores, a rules processor, and a process control element. The stores provides tagged data sets each associated with a corresponding one of the streams, each of the sets comprising groups of contiguous interval values tagged as having been validated. The rules processor reads the stores upon initiation of an event and, for the each of the sets, creates anomalies having different durations using only the groups of values, the groups of values corresponding to correct data, and generates estimates for the anomalies by employing estimation techniques for each of the durations and, for the each of the durations, selects a corresponding one of the techniques for subsequent employment when performing VEE of subsequent energy consumption data associated with the each of the durations for the corresponding one of the streams. The control element executes functions on the streams translated by the rules processor, and directs one or more system elements to change state.

A device includes a catalog storage unit that stores a catalog having versatility; a catalog control unit that specifies the catalog corresponding to a target machine tool to be subjected to state determination based on machine tool information including an item of facility type and acquires the catalog from the catalog storage unit; a feature quantity extraction unit that extracts a feature quantity from sensor data detected from the target machine tool; a sensor data processing unit that performs state determination of the target machine tool based on the feature quantity distribution included in the acquired catalog and the feature quantity extracted from the sensor data; a feature quantity tuning unit that performs tuning of the feature quantity distribution by mapping the extracted feature quantity to the feature quantity distribution; and a catalog updating unit that updates the catalog based on the feature quantity distribution after tuning.

A method for controlling an agricultural installation for small and medium livestock farming includes the steps of: acquiring at least one sensor signal of a sensor device of the agricultural installation configured for measuring a process or state variable in the agricultural installation; acquiring a plurality of further sensor signals from locally in the agricultural installation or from sensor devices distributed locally in another agricultural installation, wherein the distributed sensor devices are configured to measure process or state variables; storing the acquired sensor signals as cloud data in a cloud computing device; evaluating the sensor signal with an evaluation module, wherein the evaluation module is part of a control device of the agricultural installation and/or of a cloud computing device and wherein the evaluation takes at least a portion of the stored cloud data into consideration in order to verify the sensor signal in relation to the stored cloud data.

Monitored control system includes an action device and a monitoring device for monitoring the operation of the action device. The action device includes actuator modules, a sensor module and a control module to command the actuator modules to perform a predefined task using the sensor data. The monitoring device receive monitored data from the action device and compute an action device operation indicator indicative of a correct or abnormal operation of the action device on the basis of the monitored data. The action device operation indicator is computed on the basis of a learned value of an adjustable monitoring parameter. The learned value is determined from a set of labelled data generated from trial datasets recorded by the action device during an iterative learning procedure.

A non-transitory computer-readable recording medium stores therein a program utilization support program that causes a computer to execute processing including: obtaining first data items included in production management data; specifying second data items which are used in execution of a production support program with reference to a storage that stores information indicating an execution status of the production support program; and determining whether the production support program is usable based on whether all of the second data items are included in the first data items.

An apparatus is provided for configuring validation, estimation, and editing (VEE) rules for performing VEE on a plurality of interval based energy consumption streams. The apparatus includes a post VEE readings data stores and a rules processor. The post VEE readings data stores provides a plurality of tagged energy consumption data sets that are each associated with a corresponding one of the plurality of interval based energy consumption streams. Each of the plurality of tagged energy consumption data sets has first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited. The rules processor, reads the post VEE readings data stores upon initiation of an event and, for the each of the plurality of tagged energy consumption data sets, creates a plurality of anomalies having a plurality of different durations using only the first groups of contiguous interval values, and generates a plurality of estimates for the plurality of anomalies by employing a plurality of estimation techniques and, for each of the plurality of different durations, selects one of the plurality of estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the plurality of interval based energy consumption streams.

An apparatus for controlling a system including a plurality of sources of signals causing a plurality of events includes an input interface to receive signals from the sources of signals, a memory to store a neural network trained to diagnose a control state of the system, a processor to submit the signals into the neural network to produce the control state of the system, and a controller to execute a control action selected according to the control state of the system. The neural network includes a sequence of layers, each layer includes a set of nodes, each node of at least an input layer and a first hidden layer following the input layer corresponds to a source of signal in the system. A pair of nodes from neighboring layers corresponding to a pair of different sources of signals are connected in the neural network only when a probability of subsequent occurrence of the events in the pair of the different sources of signals is above a threshold, such that the neural network is a partially connected neural network.

Described herein are methods, apparatuses, and systems for determining adaptive predictive algorithms for virtual metrology. In some embodiments, a computer implemented method identifies a plurality of predictive algorithms. The method determines when to use one or more of the plurality of predictive algorithms to predict one or more virtual metrology variables in a manufacturing facility.

A method for performing validation, estimation, and editing (VEE), including: employing HVAC subsystems to adjust comfort in a building; performing VEE on energy consumption streams; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising groups of contiguous interval values tagged corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the first groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the streams; and executing functions on the streams translated by the generating and directing one or more of the HVAC subsystems to change state, where the comfort is adjusted in accordance with building energy consumption.