A test apparatus (100) for testing at least part of an aircraft system. The test apparatus (100) is configured to obtain first data (210) including a plurality of input values and process the input values using a classifier (230) configured to model an operation of the at least part of an aircraft system (220). Second data is obtained, including a set of output values (240b). The output values (240b) from the second data are processed with output values (240a) generated by the classifier to identify differences between operation of the at least part of an aircraft system (220) and the operation as modelled by the classifier (230).

An apparatus for automatically tuning a fluid temperature PID (proportional-integral-differential) controller is provided. The apparatus for automatically tuning a fluid temperature PID controller includes: a setter configured to calculate an initial value of a gain of a controller configured to control a fluid temperature by deriving a physical property of the fluid temperature, and a tuner configured to tune the initial value of the gain of the controller using an artificial intelligence neural network algorithm according to a control target.

A computer-implemented method and device for activating a technical unit. The device includes an input for input data from at least one sensor, an output for activating the technical unit using an activation signal, and a computing device which activates the technical unit as a function of the input data. A state of at least one part of the technical unit or of surroundings is determined as a function of input data. At least one action is determined as a function of the state and of a strategy for the technical unit. Technical unit being activated to carry out the at least one action. The strategy, represented by an artificial neural network, is learned with a reinforcement learning algorithm in interaction with the technical unit or with the surroundings as a function of the at least one feedback signal. The feedback signal is determined as a function of a target-setting.

A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

The present invention relates to a machine door (2), comprising a door frame (10) having an opening (20), at least three door segments (30), and an actuating means (40), wherein the actuating means (40) can adjust the at least three door segments (30) from a position in the door frame (10) that clears the opening (20) to a position out of the door frame (10) that closes the opening (20). In addition, the present invention relates to a machine (1) having such a machine door (2).

An objective of the present invention is to achieve optimal operating guidance on day-to-day operations in a plant while also achieving, for example, soundness and reduced operating costs for a plant equipment piece without increasing the load on the central operation room, by determining the optimal configuration value for the operating value of the plant equipment piece. To this end, there is provided an equipment state monitoring device 331 for analyzing an operating state of a first plant equipment piece 303 during a prescribed period. The equipment state monitoring device 331 analyzes the operating state of the first plant equipment piece 303, and depending on a result of the analysis, carries out determination of an optimal operating value.

A method for interacting with a building management system (BMS) using intelligent software agents. The method includes receiving a user request from a multi-input device configured to accept vocal and textual inputs, and contextualizing the user request for a space and/or place and a corresponding user. The method further includes constructing a user skill level from the user request, and activating a customized BMS optimization process, the customized BMS optimization process determined by the intelligent software agents from the user skill level, the user request, and the space and/or place.

A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

A power control system is disposed in a predetermined area. The power control system includes a server, a smart gateway device, a power detection device, a smart meter, a first power control device, a power generation device, a second power control device, a plurality of electronic devices, and a power storage device. The power detection device detects a value of a supply current per second of the first power of the first power control device. The power detection device detects a value of a used current per second of the second power of the second power control device. The power detection device provides a current difference between the value of the supply current and the value of the used current to the first power control device and the smart gateway device. The first power control device adjusts the first power at least based on the current difference.

The present invention relates to a computer implemented method (600) for optimization of a bioprocessing system (100) formed by interconnected or interconnectable bioprocessing units and configured to provide a desired system functionality, the method comprising obtaining (610) requirement data of a bioprocess, the requirement data being at least indicative of the desired system functionality, and indicative of a desired substance resulting from the operation of the bioprocess system, obtaining (620) unit data indicative of characteristics of a plurality of bioprocessing units, generating (630) at least one optimized or suitable bioprocessing system configuration capable to provide the desired system functionality, the bioprocessing system configuration comprising a selection of bioprocessing units from the plurality of bioprocessing units selected using the requirement data, the unit data and an objective function dependent on the requirement data and the unit data. The invention extends to a configuration system (500).