Abstract: An example system may include an energy storage unit and various processors configured to communicate with components of the energy storage unit to track, classify, and route event data as well as automatically perform actions and notify stakeholders of the event data. The example system may receive event data describing one or more events associated with an energy storage unit and the system may determine that the one or more events include a fault. The system may determine whether the fault is automatically addressable and, responsive to determining that the fault is automatically addressable, automatically execute one or more actions based on the fault. The system may automatically provide a notification describing the fault to a user.

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Abstract: Methods and systems are disclosed for selecting a print head of a 3D printing machine to apply 3D printing material at one or more positions in a printed 3D object. Embodiments of the present invention may include, in the selection process one or more elements pertaining for example to: geometry of the received 3D model; colorization of the received 3D model; transparency of the received 3D model; properties of the 3D printing material; and constraints of the 3D printing machine.

Abstract: A method for making a rapid prototype of a patient's mouth to be used in the design and fabrication of a dental prosthesis. The method takes an impression of a mouth including a first installation site having a dental implant installed in the first installation site and a gingival healing abutment having at least one informational marker attached to the dental implant. A stone model is prepared based on the impression, including teeth models and model markers indicative of the at least one informational marker. The model is scanned. Scan data is generated from the scanning. The scan data is transferred to a CAD program. A three-dimensional model of the installation site is created in the CAD program. The at least one informational marker is determined to gather information for manufacturing the rapid protocol. Rapid prototype dimensional information is developed.

Abstract: A method for making a rapid prototype of a patient's mouth to be used in the design and fabrication of a dental prosthesis. The method takes an impression of a mouth including a first installation site having a dental implant installed in the first installation site and a gingival healing abutment having at least one informational marker attached to the dental implant. A stone model is prepared based on the impression, including teeth models and model markers indicative of the at least one informational marker. The model is scanned. Scan data is generated from the scanning. The scan data is transferred to a CAD program. A three-dimensional model of the installation site is created in the CAD program. The at least one informational marker is determined to gather information for manufacturing the rapid protocol. Rapid prototype dimensional information is developed.

Abstract: A method for controlling an energy beam in an additive manufacturing machine when forming a three-dimensional article layer by layer by successive fusion of selected areas of powder layers, which selected areas correspond to successive layers of the article. The method includes steps of radiating a powder layer by the energy beam and creating a set of images of the powder layer for a set of positions on the powder layer by detecting particles emitted, backscattered or reflected from the powder layer when being radiated, comparing data representing the set of images and reference data with each other for identifying a difference between the energy beam when used on the powder layer and the reference data, with respect to at least one energy beam parameter, and adjusting the energy beam based on such an identified difference between the energy beam when used on the powder layer and the reference data.

Abstract: A method, apparatus, system, and computer program products for managing a set of outliers in test data. A computer system analyzes a set of features derived from the test data using different outlier detection methods to generate a result of the set of outliers identified by the different outlier detection methods. The test data is obtained from testing a physical structure. The computer system determines a causality for the set of outliers in the result. The physical structure is retested with a set of changes determined using the causality identified for the set of outliers. The retesting generates new test data for the physical structure.

Abstract: An appliance includes a temperature control system, a light source, and a spectrometer. The spectrometer works in conjunction with the light source to obtain a measured value of a foodstuff. The measured value is at least one of an absorbance value, a transmittance value, and a reflectance value. The measured value from the foodstuff is compared to a reference value for the foodstuff.

Abstract: A storage environment monitoring device is capable of measuring and/or monitoring various parameters of an environment inside a storage area, such as airflow, temperature, and humidity, to increase the storage quality of semiconductor components stored in the storage area. The storage environment monitoring device is capable of measuring and/or monitoring the parameters of the environment inside the storage area without having to open an enclosure that is storing the semiconductor components in the storage area. This reduces exposure of the semiconductor components to contamination and other environmental factors.

Abstract: Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat controls an HVAC system to cool the structure using a demand response event implementation profile over the demand response event period. The thermostat can also receive a requested change to the setpoint temperatures defined by the demand response event implementation profile and access a determination of an impact on energy shifting that would result if the requested change is incorporated into the demand response event implementation profile. This determination can be communicated to the energy consumer.

Abstract: A system including a deep learning processor obtains response data of at least two data types from a set of process stations performing operations as part of a manufacturing process. The system analyzes factory operation and control data to generate expected behavioral pattern data. Further, the system uses the response data to generate actual behavior pattern data for the process stations. Based on an analysis of the actual behavior pattern data in relation to the expected behavioral pattern data, the system determines whether anomalous activity has occurred as a result of the manufacturing process. If it is determined that anomalous activity has occurred, the system provides an indication of this anomalous activity.

Abstract: A system to supply emergency power to an elevator includes one or more lithium batteries, an inverter coupled to the lithium batteries, a battery management system (BMS) coupled to the inverter, an Energy Management Software (EMS) coupled to the BMS, and a relay coupled to utility power, wherein the relay operates to provide utility power to the system and notifies the EMS that utility power is on, wherein the EMS initiates charging of the BMS system, wherein the BMS sends charging command to the inverter, which operates until the state of charge is 100%, where the inverter goes into a standby mode.

Abstract: Systems and methods for testing a power plant emulation are disclosed. Software for an energy management system is deployed to a computer system comprising computing devices. A model of a power plant site is deployed to a test framework. Test commands and/or use cases are injected, via the test framework to public energy management system end points. The test commands and/or use cases are used to emulate and test the model of at least the portion of the power plant site and to generate simulated operating parameter values. The generated simulated operating parameter values of the model are compared with expected values. A determination is made as to whether the model passed testing using the comparison. After determining the model passed testing, software, corresponding to at least a portion of the model, is made available for deployment to operate a physical version of the power plant site.

Abstract: Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information including a change in state of the power consuming device(s), a directive for a change in state of the power consuming device(s), a priority message, an alert, a status, an update, a location with respect to the electric power grid, a function, device attributes, and combinations thereof.

Abstract: Apparatus and methods for automatically testing mobile devices are disclosed according to various embodiments. In one example, a disclosed apparatus includes: a robot having a retention device into which the mobile device to be tested is positioned; a test computer having a processor and a non-transitory computer readable storage medium storing test software for testing the mobile device; and a user monitor electrically connected to the test computer and configured for providing a result of the testing of the mobile device. The mobile device is wirelessly connected to the test computer and has a test application installed thereon corresponding to the test software. The robot is configured for performing interaction and manipulation of the mobile device in cooperation with the test application and the test software during the testing.

Abstract: A system including a deep learning processor obtains response data of at least two data types from a set of process stations performing operations as part of a manufacturing process. The system analyzes factory operation and control data to generate expected behavioral pattern data. Further, the system uses the response data to generate actual behavior pattern data for the process stations. Based on an analysis of the actual behavior pattern data in relation to the expected behavioral pattern data, the system determines whether anomalous activity has occurred as a result of the manufacturing process. If it is determined that anomalous activity has occurred, the system provides an indication of this anomalous activity.

Abstract: A system including a deep learning processor receives one or more control signals from one or more of a factory's process, equipment and control (P/E/C) systems during a manufacturing process. The processor generates expected response data and expected behavioral pattern data for the control signals. The processor receives production response data from the one or more of the factory's P/E/C systems and generates production behavioral pattern data for the production response data. The process compares at least one of: the production response data to the expected response data, and the production behavioral pattern data to the expected behavioral pattern data to detect anomalous activity. As a result of detecting anomalous activity, the processor performs one or more operations to provide notice or cause one or more of the factory's P/E/C systems to address the anomalous activity.

Abstract: A method for adjusting a blend composition includes: receiving target blend composition data associated with a target blend composition having a target blend property; controlling blend component flow streams to cause blend components to be added to a blend tank to form a blend composition; determining a property of the blend composition; comparing the property of the blend composition with the target blend property; generating control flow instructions based on the property of the blend composition and a machine learning analysis of historical blend data; and adjusting a blend component flow stream of the blend component flow streams to form a modified blend composition in the blend tank.

Abstract: A method for optimizing a medical procedure room set up comprises obtaining a medical procedure room setup input associated with a medical practitioner identifier, a medical procedure identifier, and a medical procedure room identifier for the medical procedure room set up. A virtual image guidance for the medical procedure room set up based on the received input is provided. The method comprises acquiring data associated with one or more of item, equipment, and personnel in the medical procedure room setup and analyzing prestored data associated with item, equipment, and personnel in one or more reference medical procedure room setups corresponding to the received medical procedure room setup input. The method comprises comparing the acquired data with the analyzed prestored data associated with the respective item, equipment, and personnel in the one or more reference medical procedure room setups and providing recommendation for optimizing the medical procedure room set up.

Abstract: System and methods are disclosed to charge an electric vehicle (EV) and manage grid power consumption. The system includes a building switchgear coupled to a building meter; an independent system operator (ISO) accepted meter coupled to the building switchgear, the ISO meter including a telemetry unit to communicate with an ISO; and a battery energy storage system (BESS) coupled to the building switchgear, and an ISO or System Performance Meter, wherein the BESS selectively provides power in response to a customer power demand or an EV charging request to prevent a customer grid power consumption from spiking and peaking at grid imbalance highest cost on peak times.