Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one of an oil production component or gas production component; a data storage structured to store a plurality of diagnostic frequency band ranges for the at least one of an oil production component or gas production component; a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels; and a data analysis circuit structured to analyze the plurality of detection values to determine measured frequency band data and compare the measured frequency band data to the plurality of diagnostic frequency band ranges, and to diagnose an operational parameter of the least one of an oil production component or gas production component in response to the comparison.

A method of manufacturing a surgical kit for cartilage repair in an articulating surface of a joint, comprising the steps of receiving radiology image data representing three dimensional image of a joint; generating a first three dimensional representation of a first surface of the joint in a trainable image segmentation process dependent on a trained segmentation process control parameter set and said radiology image data; generating a set of data representing a geometrical object based on said first surface, wherein said geometrical object is confined by said first surface; generating control software adapted to control a CAD or CAM system to manufacture a surgical kit for cartilage repair dependent on said set of data representing a geometrical object and on a predetermined model of components of said surgical kit.

Described herein are systems and methods for control of an overhead crude section of a hydrocarbon refining process. In one aspect, the method comprises monitoring a plurality of operating conditions of an overhead crude section of a refinery; determining hydrogen chloride and amine conditions of the overhead crude section of the refinery at current operating conditions of the overhead crude section; determining a plurality of fields of action by simulating a variation of one or more of the plurality of conditions; determining a risk indicator of salting for each of the plurality of fields of action; and providing a recommended change in operation of the overhead crude section to one of the plurality of fields of action while adhering to one or more constraints.

Examples of techniques for monitoring and controlling the pH of a drilling fluid are disclosed. In one example implementation, a system may include a first sensor to sense a first pH-value and an associated first temperature of the drilling fluid prior to being heated by a drilling fluid heater and a second sensor to sense a second pH-value and an associated second temperature of the drilling fluid subsequent to being heated by the drilling fluid heater. The system may also include a controller comprising a memory having computer readable instructions and a processing device for executing the computer readable instructions. The computer readable instructions include receiving the first pH-value and first temperature from the first sensor, receiving the second pH-value and second temperature from the second sensor, and determining an amount of additive to add to the drilling fluid to maintain a desired pH-value at the second temperature.

A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein at least one is connected to a vibration detection facility for detecting a noise pattern from a first industrial machine of a plurality of industrial machines; a data storage structured to store a plurality of noise patterns from the plurality of industrial machines in a library; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to analyze the collected data to determine if the noise pattern from the first industrial machine matches a noise pattern of a second industrial machine stored in the library, wherein if it matches an alarm condition is set to indicate the first industrial machine is experiencing a condition characteristic of the machine performance category of the second industrial machine.

A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein a collector route determines a subset of the input channels for data collection, the collector route selected based on a data marketplace indicator; a data storage structured to store a plurality of collector routes and collected data that correspond to the input channels, each comprising a different data collection routine for the input channels; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each corresponding to at least one of the input channels; and a data analysis circuit structured to analyze the collected data from the input channels and evaluate a selected collection routine of the data collector based on the analyzed collected data, wherein the selected collection routine is switched to a second collection routine based on a received data marketplace indicator.

An apparatus, methods, and systems for data collection in a production environment are described. The system may include a data collector communicatively coupled to a plurality of input channels, wherein a first subset of the plurality of input channels are connected to a first set of sensors measuring operational parameters from a production component, a data storage structured to store a plurality of collector routes and collected data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the production component, and a data analysis circuit structured to analyze the collected data and evaluate a first collection routine of the data collector based on the analyzed collected data, wherein based on the analyzed collected data the data collector makes a collection routine change.

Methods and systems provide proposed pathways for synthesizing chemical reactions given a user-proposed target molecule, user-provided reaction constraints, or a combination of both. Embodiments may leverage training the model using both known successful reactions and infeasible reactions, either known or created by a prior use of the model. Chemical reactions for producing the target molecule and substrates are proposed using the model. From the proposed reactions, synthesis pathways are extracted and ranked according to a cost estimation. The ranked synthesis pathways are then provided to the user.

An approach for fully automating the use of robotic devices in a laboratory workflow includes defining sequences for automating tasks and equipment involved in such a workflow, and calculating a path for each sequence that resolves get, handoff, and placement procedures. The approach develops a schedule that executes resolved pathways in and between each device. The approach is provided with an easy-to-use interface, in which a user drags and drops devices to automatically configure them, defines operations to be performed by these devices, and then runs the laboratory workflow. The interface also provides the ability to monitor progress of the workflow, and make modifications and adjustments as needed.

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.