Systems and methods for data collection for an industrial heating process are disclosed. The system according to one embodiment can include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and wherein the plurality of data collectors is coupled to a plurality of input channels for acquiring collected data relating to the industrial heating process, and a data acquisition and analysis circuit for receiving the collected data via the plurality of input channels and structured to analyze the received collected data using a neural network to monitor a plurality of conditions relating to the industrial heating process.

An automated chemical formulation apparatus includes: a data reception unit that receives an input chemical material dataset including chemical material information, chemical composition information, chemical formulation information and property information thereof; a predicting model generation unit that trains a first machine learning model using the input chemical material dataset to generate a predicting model for predicting a chemical formulation based on target property information of a target material; and a formulation prediction unit that sets a boundary condition based on the input chemical material dataset, generates a new input dataset including at least one of chemical material information, chemical composition information, and chemical formulation information within the boundary condition, inputs the new input dataset to the predicting model, and sets predetermined one or more pieces of target property information to perform prediction, thereby outputting a first group of chemical formulation data.

Systems and methods are provided for improving skincare product formulations to address predicted skin trends. A biomarker analysis system is used to determine concentrations of various protein biomarkers of a user. A skin diagnosis computing device uses the protein biomarker concentrations to determine one or more skin trends, and determines one or more skincare product ingredients to address the skin trends. A skincare product is compounded that includes the one or more skincare product ingredients.

An automated seed treatment system is adapted for on-site operation at a retail seed distributor. A sealed seed-treater vessel is configured to apply a plurality of chemical treatments to a batch of seed based on a seed treatment recipe. A programmable system controller is electrically coupled to a pump controller of each of a plurality of pump-stations. The programmable system controller is configured to receive a material transfer indication from each of the plurality of pump-stations and issue commands to the pump controller of each pump-station in response to the seed treatment recipe. The programmable system controller is configured to collect operational data representing at least consumption of chemical from the chemical container at each of the pump-stations based on the corresponding material transfer indication during seed treatment and to provide the operational data to a remotely hosted information system located remotely from the site of the retail seed distributor and accessible to at least one third party that is distinct from the retail seed distributor.

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

A method for controlling a chemical process, by preparing methanol, hydrogen sulfide, methyl mercaptan, hydrocyanic acid, acrolein, 3-methylthiopropionaldehyde, 5-(2-methylmercaptoethyl)-hydantoin, methionine, a salt of methionine, and a derivative of methionine. The method includes providing a training set TS1, wherein TS1 is process values PV1 and process values PV2 being correlated to one another, and/or laboratory values LV1 and process values PV2 being correlated to one another. The method includes training a processing unit on the training set TS1 to identify a pattern of correlation between one or more measured process variables and at least one process variable. The method includes developing a calibration function CF1 for a calibrated soft sensor from the identified pattern of correlation and predicting at least one operating parameter for the chemical process as an approximation to LV1 and/or PV1. A system for controlling a chemical process.

Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.

Systems and methods for implementing one or more compiled workflows at a biological foundry are provided. A representation of an uncompiled workflow to produce engineering targets is obtained. The representation is translated into a first corresponding instance of a compiled workflow. If the translation satisfaction of various threshold translation criteria is determined, and the first corresponding instance of the compiled workflow is executed to complete a first portion of manufacture of the engineering targets. If the executing satisfaction of various threshold execution criteria is determined, the representation is translated into a second corresponding instance of the compiled workflow different from the first corresponding instance. If this translation satisfaction of the various threshold translation criteria is determined, the second corresponding instance of the compiled workflow is executed to complete a second portion of the manufacture of the engineering targets.

A fabrication support apparatus of a layered cell sheet in which a plurality of cell sheets are layered on one another includes circuitry. The circuitry is configured to acquire optical information that is information regarding optical properties of the layered cell sheet; to calculate a thickness distribution of the layered cell sheet based on the acquired optical information; to determine a layering position of a cell sheet to be newly layered on the layered cell sheet based on the calculated thickness distribution; and to output information of the determined layering position.

An integrated platform system controlled with hardware and software for just-in-time, local manufacturing is disclosed. System hardware may include a fermentation system, a cross-flow system, a disposable formulation system, a robotic fill-finish system, and a quality control test and release system.