Patent classifications
Y02P90/84
DATA COLLECTION IN INDUSTRIAL ENVIRONMENT USING MACHINE LEARNING TO FORECAST FUTURE STATES OF INDUSTRIAL ENVIRONMENT BASED ON NOISE VALUES
Method for data collection in an industrial environment generally including receiving, at a switch, data from one or more variable groups of sensor inputs; monitoring the data from the one or more variable groups of sensor inputs; adaptively scheduling data collection at the switch; determining one or more noise values including one of an ambient noise, a local noise, or a vibration noise; using machine learning to forecast a future state of the industrial environment based at least in part on the determined one or more noise values; and reporting the forecasted future state of the industrial environment to an entity associated with a role type stored within a role taxonomy.
Power trading system and management apparatus
The present invention provides a power trading system that executes power trading between a plurality of apparatuses, wherein at least one apparatus of the plurality of apparatuses includes a management unit configured to manage electric energy of a battery, and the management unit manages the electric energy of the battery by discrimination between electric energy derived from exhaustible energy and electric energy derived from renewable energy.
Methods and apparatus for secure persistent location based digital content
Augmented reality apparatus and methods of use are provided with secure persistent digital content linked to a location coordinates. More specifically, the present invention links a physical location with digital content to enable a user interface with augmented reality that combines aspects of the physical area with location specific digital content. According to the present invention, digital content remains persistent with a location even if visual aspects of the location change.
Method and apparatus for actively managing electric power over an electric power grid
Systems and methods for managing power supplied over an electric power grid by an electric utility and/or other market participants to multiple power consuming devices, each of which having a Power Supply Value (PSV) associated with its energy consumption and/or reduction in consumption. Power flow to the power consuming devices is selectively enabled and disabled, or power-reduced thereto, by one or more controllable devices controlled by the client device. Power control messages from a controlling server indicate amounts of electric power to be reduced and an identification of at least one controllable device to be instructed to disable or reduce a flow of electric power to one or more associated power consuming devices.
METHODS, SYSTEMS, APPARATUSES AND DEVICES FOR FACILITATING PROCESSING OF RECYCLABLE ITEMS
A system to facilitate processing of recyclable items is disclosed. Further, the system may include a communication device configured for receiving event data associated with a recycling process from at least one sensory device, receiving a request for the event data from a first user device, and transmitting the event data to the first user device. Further, the system may include a processing device communicatively coupled to the communication device, configured for issuing a predetermined amount of crypto tokens to a second crypto account. Further, the system may include a storage device communicatively coupled to the processing device, configured for storing, using a distributed ledger technology, the event data, and data related to the issuing of the predetermined amount of crypto tokens to the second crypto account.
Machine learning in agricultural planting, growing, and harvesting contexts
- David Patrick Perry ,
- Geoffrey Albert von Maltzahn ,
- Robert Berendes ,
- Eric Michael Jeck ,
- Barry Loyd Knight ,
- Rachel Ariel Raymond ,
- Ponsi Trivisvavet ,
- Justin Y H Wong ,
- Neal Hitesh Rajdev ,
- Marc-Cedric Joseph Meunier ,
- Casey James Leist ,
- Pranav Ram Tadi ,
- Andrea Lee Flaherty ,
- Charles David Brummitt ,
- Naveen Neil Sinha ,
- Jordan Lambert ,
- Jonathan Hennek ,
- Carlos Becco ,
- Mark Allen ,
- Daniel Bachner ,
- Fernando Derossi ,
- Ewan Lamont ,
- Rob Lowenthal ,
- Dan Creagh ,
- Steve Abramson ,
- Ben Allen ,
- Jyoti Shankar ,
- Chris Moscardini ,
- Jeremy Crane ,
- David Weisman ,
- Gerard Keating ,
- Lauren Moores ,
- William Pate
A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
Plastic waste system and method
The present application overcomes the disadvantages of the prior art by providing a system for proper life-cycle management of plastic products and the plastic waste that plastic products produce.
System and Methods for Actively Managing Electric Power Over an Electric Power Grid
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.
Systems and methods to manage and control energy management systems
A system for analyzing energy usage measures one or more parameters indicative of energy usage for a plurality of sub-circuits, where the sampling rate for the measuring is substantially continuous, and automatically transmits information related to at least one of the measured parameters at a rate that enables monitoring of current energy usage. The system further detects a significant change in a measured parameter, determines whether the significant change in the measured parameter is caused by a change in energy usage, and automatically transmits information related to the significant change in the measured parameter caused by the change in energy usage after detecting the significant change.
User query and gauge-reading relationships
Domain agnostic systems and methods for the capture, storage, and analysis of sensor readings including: collecting gauge readings from a plurality of gauges; storing the gauge readings in a database; normalizing select gauge readings in near-real time at the server from the database of the server in response to a user query; and generating a relationship among the select gauge readings in response to the user query; generating information for configuring an entity that provides feedback in a domain agnostic system, based on said relationship among the select gauge readings; and generating an alert in response to the select gauge readings satisfying a certain condition.