Patent classifications
G05B2219/24033
DEEP-LEARNING-BASED FAULT DETECTION IN BUILDING AUTOMATION SYSTEMS
Methods, mediums, and systems include use of a system manger application in a data processing system for fault detection a building automation system using deep learning, to receive point data for a hardware being analyzed, where the received point data is contaminated data, train a deep learning model for the hardware being analyzed, generate predicted data based on the deep learning model, analyze the predicted data and the received point data, identify a fault in the hardware being analyzed according to the received point data and the predicted data, and produce a fault report according to the identified fault.
Abnormality analysis system and analysis apparatus
A plurality of production facilities and an analysis apparatus are connected through a fog network. The analysis apparatus performs a data analysis based on detection information of detectors acquired through the fog network and stores determination information relating to an abnormality of each of the plurality of production facilities or an abnormality of a production object as a result of the data analysis. Each of the plurality of production facilities determines an abnormality of the each of the plurality of production facilities or an abnormality of the production object based on the determination information stored in the analysis apparatus.
Modular and reconfigurable assembler system for autonomous in-space assembly
Methods and systems to control stacked hexapod platforms for use as tools, which function with both high accuracy and high precision are provided. In some embodiments, the methods and systems include a convergence of modern control theory, and machine learning. Furthermore, some embodiments provide control algorithms to carry out autonomous in-space assembly operations using assemblers. Some embodiments provide methods and systems which combine long-reach low precision manipulators and smaller, high-precision assembler with interchangeable tools.
DIFFERENTIAL PRESSURE MEASUREMENT ARRANGEMENT AND METHOD FOR IDENTIFYING BLOCKED DIFFERENTIAL PRESSURE LINES
A method for diagnosing a differential pressure line of a differential pressure measurement arrangement includes capturing a first set number of differential pressure values, which represent a difference between a first media pressure and a second media pressure within a process, and checking whether the differential pressure measurement arrangement and/or the process are in a state that allows a diagnosis of the differential pressure line. Where it is determined that the differential pressure measurement arrangement and/or the process are not in a state that allows a diagnosis of the differential pressure line, the differential pressure values are captured anew such that the previously captured differential pressure values are deleted or overwritten. Otherwise, a diagnostic function to determine whether a differential pressure line is blocked is carried out.
Remote contractor system with site specific energy audit capability
A system that allows a contractor to remotely monitor and/or interact with its customers' building control systems, such as heating, ventilating and air conditioning (HVAC) systems, and analyze information obtained from the building control systems over time. Such a system may help the contractor monitor and diagnosis customer building control systems, setup service calls, achieve better customer relations, create more effective marketing opportunities, as well as other functions. In some cases, the disclosed system may include a controller that analyzes data from HVAC systems, determines a thermal model of a space environmentally controlled by an HVAC system, and provides an energy audit of the space that is environmentally controlled by the HVAC system. The controller may output a result of the energy audit to a user.
Controlled dispensing system and method
A controlled dispensing system includes a dispensing fixture and a server system coupled to the dispensing fixture via a communication network. The dispensing fixture is configured to obtain via an input peripheral a first identifier associated with a controlled product and a second identifier associated with a dispensing requester; transmit the first and second identifiers to the server system; receive an approval notification from the server system; and instructing the dispensing mechanism to dispense the controlled product. The server system is configured to obtain a limit threshold corresponding to a maximum number of products associated with the first identifier that may be dispensed over a predetermined time period for a dispensing requester associated with the second identifier; and determine whether approving the dispensing operation would violate the limit threshold, and if not, update a dispensing history associated with the second identifier and transmit the approval notification to the dispensing fixture.
NFC validation bypass system and method
A browser application of a mobile device receives an instruction from a web page to obtain identity and/or age data from a digital wallet application of the mobile device, obtains the requested data upon successful biometric authentication, transmits the requested data to the server system, receives a graphic barcode from the server system corresponding to a determination by the server system that the requested data satisfies an identity or age-based restriction or regulation, and causes the graphic barcode to be displayed on a display of the mobile device. A verifying device scans the graphic barcode and transmits it to the server system. The server system transmits a validation decision to the verifying device based on a determination that the graphic barcode transmitted to the mobile device corresponds to the graphic barcode received from the verifying device.
Remote clerk-assisted dispensing system and method
A controlled dispensing system includes a dispensing fixture and a server system. The server system receives from a first computing device image data corresponding to an identification document and/or face of a consumer, and verifies an identity or age of the consumer based on the image data. The server system obtains a live video feed of the consumer from the first computing device, transmits (i) the live video feed of the consumer and (ii) the image data corresponding to the identification document and/or face of the consumer to a second computing device, receives from the second computing device a verification message indicating that the consumer in the live video feed corresponds to the identification document and/or face of the consumer, and based on the verification message, transmits to the first computing device consumer validation data including an indication that the identity or age of the consumer is verified.
ADVANCED METAL AIR ELECTROCHEMICAL CELL AND METHOD OF FABRICATION
An advanced metal-air-electrochemical-cell includes a cathode with cathode material providing enhanced oxygen reduction reaction (ORR) and oxygen evolution reaction (OER). Examples of metal-air-electrochemical-cells are rechargeable metal-air batteries and metal-air fuel-cells. Metal air electrochemical cells can be based on a variety of metal fuels such as: aluminum, germanium, calcium, iron, lithium, magnesium, potassium, sodium, tin, and zinc. In various examples, a rechargeable metal-air-battery includes a configuration that allows an aftermarket replacement of electrolyte in the metal-air-battery thereby refreshing the metal-air battery to provide more discharge/charge cycles and extending the usable life of the metal-air battery. A metal-air-fuel-cell includes anode slurry material including metal particles and electrolyte that can be refreshed, in addition to refreshing the electrolyte, to enable refueling of the metal-air-fuel-cell.
Controlling one or more devices upon detecting abnormal behavior
At least some of plural control target devices are classified so as to belong to one of plural groups. A control device holds identification information specifying a belonging control target device and information about a behavior of a remaining control target device in detecting an abnormality of a control target device belonging to an identical group with respect to each group. The control device detects the abnormality of each of the plural control target devices based on data exchanged with the plural control target devices in executing a user program. When the abnormality is detected in one of the plural control target devices, the control device refers to the identification information to specify an abnormal group to which the control target device in which the abnormality is detected belongs, and the control device refers to the information about the behavior to control action of the abnormal group.