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 manages data collection bands that define a specific frequency band and at least one of a group of spectral peaks, a true-peak level, a crest factor derived from a time waveform, and an overall waveform derived from a vibration envelope. The local data collection system includes a neural net expert system using intelligent management of the data collection bands.

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 and 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. Multiple inputs of the crosspoint switch include a third input connected to the second sensor and a fourth input connected to the second sensor. The first sensor signal is from a single-axis sensor at an unchanging location associated with the first machine. The second sensor is a three-axis sensor. The local data collection system is configured to record gap-free digital waveform data simultaneously from at least the first input, the second input, the third input, and the fourth input. The platform is configured to determine a change in relative phase based on the simultaneously recorded gap-free digital waveform data. The second sensor is configured to be movable to a plurality of positions associated with the first machine while obtaining the simultaneously recorded gap-free digital waveform data.

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 crosspoint switch includes a third input that is configured with a continuously monitored alarm having a pre-determined trigger condition when the third input is unassigned to any of the multiple outputs.

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.

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 multiplexing units and multiple data acquisition units receiving multiple data streams from multiple machines in the industrial environment. The local data collection system includes distributed complex programmable hardware device (CPLD) chips each dedicated to a data bus for logic control of the multiple multiplexing units and the multiple data acquisition units that receive the multiple data streams from the multiple machines in the industrial environment. The local data collection system is configured to manage data collection bands.

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.

The invention relates to an apparatus configured to receive an input message via the first interface. The input message having a first layer structure and containing an information piece associated with the top layer of the first layer structure, extracting the information piece from the input message by passing the input message through a protocol stack associated with the first layer structure from bottom to top, examining the extracted information piece to obtain an examination result, generating an output message by passing the extracted information piece or an information piece generated on the basis of the extracted information piece through a protocol stack associated with a second layer structure from top to bottom, and sending the output message via the second interface. The generating and/or the sending of the output message are performed as a function of the examination result.

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. There is also continuously monitoring of at least a third input of the crosspoint switch with an alarm having a pre-determined trigger condition when the third input is unassigned to any of multiple outputs on the crosspoint switch.

Methods 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 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 to a first sensor and a second input of the crosspoint switch to a second sensor. The local data collection system manages data collection bands that define a specific frequency band and at least one of a group of spectral peaks, a true-peak level, a crest factor derived from a time waveform, and an overall waveform derived from a vibration envelope. The local data collection system includes a neural net expert system using intelligent management of the data collection bands.

The system includes a crosspoint switch in a local data collection system having multiple inputs individually assigned to any of 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 and second output configured to be switchable between a condition in which the first output switches 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. Unassigned outputs can be switched off producing a high-impedance state. The local data collection system is configured to manage data collection bands that define a specific frequency band and at least one of a group of spectral peaks, a true-peak level, a crest factor derived from a time waveform.