Patent classifications
G05B2219/31156
Industrial internet of things based on event sequence analysis and prediction, prediction method, and storage medium thereof
The embodiments of the present disclosure provide an Industrial Internet of Things based on an event sequence analysis and prediction, a method, and a storage medium thereof. The Industrial Internet of Things includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.
INDUSTRIAL INTERNET OF THINGS SYSTEMS FOR ABNORMAL ANALYSIS, METHODS, AND STORAGE MEDIUM THEREOF
The embodiments of the present disclosure provide an Industrial Internet of Things system for abnormal analysis, a method, and a storage medium thereof. The Industrial Internet of Things system includes a management platform, and the management platform is configured to obtain an ordered set of instructions for a preset time period, the ordered set of instructions including a plurality of instructions, and instruction content of each instruction of the plurality of instructions including at least one of instruction type, instruction parameter, and instruction execution time; determine whether there is an abnormal instruction based on the ordered set of instructions; and analyze and modify the abnormal instruction in response to a determination that there is the abnormal instruction.
METHODS AND SYSTEMS FOR THE INDUSTRIAL INTERNET OF THINGS
The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located. The local data collection system is configured to manage data collection bands.
Methods and systems for the industrial internet of things
The methods and systems for data collection, processing, and utilization of signals with a platform monitoring at least a first element in a first machine in an industrial environment generally include obtaining, automatically with a computing environment, at least a first sensor signal and a second sensor signal with a local data collection system that monitors at least the first machine and connecting a first input of a crosspoint switch of the local data collection system to a first sensor and a second input of the crosspoint switch to a second sensor in the local data collection system. The methods and systems also include switching between a condition in which a first output of the crosspoint switch alternates between delivery of at least the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from a second output of the crosspoint switch and switching off unassigned outputs of the crosspoint switch into a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set that store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located.
ROBOTIC PROCESS AUTOMATION FOR REMOTE ASSISTANCE
Disclosed herein are system, method, and computer program product embodiments for remotely executing a robotic process automation (RPA) bot as a function. An embodiment operates by generating an RPA bot function in a first network environment and transmitting the RPA bot function to an application located in a second network environment. The embodiment further operates by receiving results data from the application based on an execution of the RPA bot function in the second network environment. Subsequently, the embodiment operates by generating results user interface (UI) data based on the results data and transmitting the results UI data to a user input/output (I/O) device located in the first network environment.
Methods and systems for the industrial internet of things
The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.
Methods and systems for the industrial internet of things
The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.
Methods and systems for the industrial internet of things
The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history.
Methods and systems for the industrial internet of things
The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history.
Methods and systems for the industrial internet of things
The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history, and a neural net expert system using intelligent management of data collection bands.