Systems and methods for data collection and signal conditioning in an industrial environment
AssigneeStrong Force IOT Portfolio 2016, LLC
InventorsCharles Howard Cella, Gerald William Duffy, Jr., Jeffrey P. McGuckin, Mehul Desai
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Abstract
Systems and methods for data collection and signal processing are disclosed, including a plurality of variable groups of analog sensor inputs, the analog sensors operationally coupled to an industrial environment. The inputs of the sensors may be received by an analog crosspoint switch, where the signals are monitored, data collection may be adaptively scheduled, front end signal conditioning may occur, and a noise value determined.
Claims30
A method for data collection in an industrial environment, the method comprising:
- receiving, at an analog crosspoint switch, analog data from a plurality of variable groups of analog sensor inputs;
- monitoring the analog data from the plurality of variable groups of analog sensor inputs;
- adaptively scheduling data collection of the analog crosspoint switch;
- and
- determining a noise value selected from the noise values consisting of:
- ambient noise, local noise, and vibration noise.
A data collection and processing system, comprising:
- variable groups of sensor inputs, each of the variable groups of sensor inputs operationally coupled to an industrial environment;
- a switch comprising multiple sensor channels configured to receive long blocks of high-sampling rate data from one or more of the variable groups of sensor inputs;
- and
- a data management feature that includes multiple routes communicatively coupling the variable groups of sensor inputs to the multiple sensor channels, wherein the switch is configured to use hierarchical templates to perform one of creating or adjusting one of the multiple routes.
A data collection and processing system, comprising:
- variable groups of sensor inputs, each of the variable groups of sensor inputs operationally coupled to an industrial environment;
- a switch comprising multiple sensor channels configured to receive long blocks of high-sampling rate data from one or more of the variable groups of sensor inputs;
- and
- a data management feature that includes a controller configured to perform intelligent management of data collection frequency bands obtained by one or more of the variable groups of sensor inputs.
A data collection and processing system, comprising:
- variable groups of sensor inputs, each of the variable groups of sensor inputs operationally coupled to an industrial environment;
- a switch comprising multiple sensor channels configured to receive long blocks of high-sampling rate data from one or more of the variable groups of sensor inputs;
- and
- a data management feature that includes a controller comprising a neural net expert system, wherein the neural net expert system is configured to perform intelligent management of data collection frequency bands obtained by at least one of the variable groups of sensor inputs.
A data collection and processing system, comprising:
- variable groups of sensor inputs operationally coupled to an industrial environment;
- a switch communicatively coupled to the variable groups of sensor inputs;
- and
- a controller configured to continuously monitor data from multiple variable groups of sensor inputs, wherein continuously monitoring comprises adaptively scheduling data collection of the switch.
A method for data collection in an industrial environment, the method comprising:
- 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;
- and
- determining one or more noise values including one of an ambient noise, a local noise, or a vibration noise.
Dependencies are inferred from the claim text.