The invention regards a method for monitoring and controlling an industrial process (3) which change condition over time. According to the method the following steps are performed: add at least one remote sensor (4) to an element (5) which is part of, or affected by the industrial process (3); collect sensor data and transmit the collected sensor data wirelessly or by wire to an intermediate data storage and data processing unit (2) hereinafter named gateway (2); transmit processed data from the gateway (2) to a remote data storage (6) by way of a cellular device (7) and, access the remote data storage from a location (8) and process the transmitted data further to gain knowledge of at least one condition of the industrial process (3) and, that the cellular device (7) is accessed from the location (8) or from the remote data storage, and that instructions are routed to the gateway (2) and, that based on the instructions, control signals (9) are produced at the gateway and routed from the gateway (2) to a control device (10) which is connected to the industrial process, and that the control device (10) based on the control signal (9) serves a condition changing signal at the industrial process (3).

Systems, methods, and apparatus for smart electric power grid communication are disclosed in the present invention. At least one grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one grid element is transformed into at least one active grid element automatically and/or autonomously after initial connection with the server. The at least one active grid element sends and receives messages to and from the server via at least one coordinator. The at least one coordinator matches and prioritizes the at least one active grid element. The at least one coordinator provides a priority flag on the messages. The at least one coordinator tracks an actual amount of power introduced to and available for an electric power grid or a curtailment power available from the at least one active grid element.

Systems, methods, and apparatus for smart electric power grid communication are disclosed in the present invention. At least one grid element transmits at least one registration message over an Internet Protocol (IP)-based network to at least one coordinator. The at least one coordinator registers the at least one grid element upon receipt of the at least one registration message. The at least one grid element automatically and/or autonomously transforms into at least one active grid element for actively functioning in the electric power grid. The at least one coordinator tracks based on revenue grade metrology an amount of power available for the electric power grid or a curtailment power available from the at least one active grid element.

Systems, methods, and apparatus embodiments for electric power grid and network registration and management of active grid elements. Grid elements are transformed into active grid elements following initial registration of each grid element with the system, preferably through network-based communication between the grid elements and a coordinator, either in coordination with or outside of an IP-based communications network router. A multiplicity of active grid elements function in the grid for supply capacity, supply and/or load curtailment as supply or capacity. Also preferably, messaging is managed through a network by a Coordinator using IP messaging for communication with the grid elements, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.

An extremum-seeking control system includes a plant operable to affect a variable state or condition of a building and an extremum-seeking controller. The extremum-seeking controller is configured to provide a control input to a plant and receive a performance variable as a first feedback from the plant. The plant uses the control input to affect the performance variable. The extremum-seeking controller is configured to receive a constrained variable as a second feedback from the plant and calculate a performance penalty by applying a penalty function to the constrained variable. The extremum-seeking controller is further configured to modify the performance variable with the performance penalty to generate a modified cost function, estimate a gradient of the modified cost function with respect to the control input, and drive the gradient of the modified cost function toward zero by modulating the control input.

A Baumkuchen baking system 10 includes: a Baumkuchen baking machine 1 including an oven 2, a batter container 4, a roller 3 and a camera 7; and a control unit 8. A server 20 is capable of accessing a storage unit 30 that stores a learning-enhanced model obtained by learning a doneness determination or baking control based on an image of the outer peripheral surface of Baumkuchen batter. The control unit 8 includes: a user interface unit 83; and an automatic control unit 82 that determines doneness or baking control using the learning-enhanced model provided by the server 20 based on an image, captured by the camera 7, of the outer peripheral surface of Baumkuchen batter currently being baked and uses the result of determination to automatically control baking of each layer of the Baumkuchen batter.

Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.

In prior art grid systems, power-line control is done by substation based large systems that use high-voltage (HV) circuits to get injectable impedance waveforms that can create oscillations on the HV power lines. Intelligent impedance injection modules (IIMs) are currently being proposed for interactive power line control and line balancing. These IIMs distributed over the high-voltage lines or installed on mobile platforms and connected to the HV power lines locally generate and inject waveforms in an intelligent fashion to provide interactive response capability to commands from utility for power line control. These IIMs typically comprise a plurality of impedance-injection units (IIUs) that are transformer-less flexible alternating current transmission systems interconnected in a series-parallel connection and output pulses that are additive and time synchronized to generate appropriate waveforms that when injected onto HV transmission lines are able to accomplish the desired response and an provide interactive power flow control.

Systems, methods, and apparatus for smart electric power grid communication are disclosed in the present invention. At least one grid element is constructed and configured in network-based communication with a server via at least one coordinator. The at least one grid element is transformed into at least one active grid element automatically and/or autonomously after initial connection with the server. The at least one active grid element sends and receives messages to and from the server via at least one coordinator. The at least one coordinator matches and prioritizes the at least one active grid element. The at least one coordinator provides a priority flag on the messages. The at least one coordinator tracks an actual amount of power introduced to and available for an electric power grid or a curtailment power available from the at least one active grid element.

A method for determining specific conditions occurring on industrial equipment based upon received signal data from sensors attached to the industrial equipment is provided. Using a server computer system, signal data is received and aggregated into feature vectors. Feature vectors represent a set of signal data over a particular range of time. The feature vectors are clustered into subsets of feature vectors based upon attributes the feature vectors. One or more sample episodes are received, where a sample episode includes sample feature vectors and specific classification labels assigned to the sample feature vectors. A signal data model is created that includes the associated feature vectors, clusters, and assigned classification labels. The signal data model is used to assign classification labels to newly received signal data using the mapping information for the existing feature vectors, existing clusters and associated classification labels to determine the specific conditions occurring on the industrial equipment.