Methods of catalytic process characterization using a reaction system having two or more reaction strands in a parallel arrangement, wherein each reaction strand has multiple series-connected reaction chambers or a single reaction chamber. Each reaction strand is supplied with a reactant stream subjected to process stages. Product streams discharged from the reaction strands are subjected to an analytical characterization, wherein the data achieved in the characterization are expressed in relative terms including the forming of a difference.

A foam sensor device is used for monitoring foam within a vessel. The sensor (e.g. accelerometer) is encapsulated inside a water-tight, sterilizable, shell, which floats on a liquid contained. In one example, the foam sensor device includes an accelerometer for detecting and measuring rotation and movement of the foam sensor device and generates movement data based on the detected movement. During a learning or calibration process, sensor data (e.g., movement data) from the foam sensor device is analyzed and classified using machine learning and/or signal processing methods to extract features indicative of different possible foam statuses, including varying levels of foam, or no foam and generate models for the different statuses. During normal operation, the foam sensor device transmits sensor data to an analyzer containing the pre-calibrated models, which determines whether there is foam or not. Based on the foam status, a pump controller adds anti-foam solution.

A method is provided for deconstructing macromolecules (MM) into lower molecular weight (MW) fragments in high yield by promoting first desirable reactions (Reactions1) that result in chemolytic scission of bonds in the backbone, chain, matrix, or network that defines the MM and obtain a first product mixture (Product1). The method includes conveying the prepared feedstock in a flowpath toward a reactor while adding a first agent of a first type (A1T1) suitable for promoting Reactions1, and a second agent (A2) suitable for promoting Reactions1 to obtain a first reaction mixture which is heated under controlled pressure.

Various embodiments of the present disclosure relate to proactive dosing optimization chemical feed units producing an output solution (such as an oxidizing biocide) therefrom. Online sensors generate signals corresponding to directly measured variables for respective process components. Information is selectively retrieved from models relating combinations of input variables to respective industrial process states, wherein various current process states may be indirectly determined based on directly measured variables for respective system components. An output feedback signal is automatically generated corresponding to a detected intervention event based on the indirectly determined process state. A controller may receive the signal and implement, e.g., regulation of oxidizing biocide feed for optimization of end products and/or performance metrics.

The present teachings relate to a method for monitoring and/or controlling a production process for manufacturing at least one industrial product at an industrial plant comprising at least one equipment by processing at least one input, the method comprising: receiving, via an input inter-face, real-time process data from the equipment; determining, via the computing unit, a subset of the real-time process data; providing as output data the subset of the real-time process data. The present teachings also relate to a system, a use, and a software product.

Methods and systems for performing transient processes may include: providing a path and path thresholds for an operational condition as a function of progress of a transient process based on historical data of previously performed transient processes; performing the transient process in a chemical reactor using operational parameters; measuring the operational condition of the transient process as a function of the progress of the transient process; and adjusting one or more of the operational parameters during the progress of the transient process to maintain the operational condition within the path thresholds.

The present disclosure relates to a manufacturing system and a manufacturing method which are capable of continuously manufacturing an ester-based composition, and has a technical feature of being capable of manufacturing an ether-based composition continuously, economically, and efficiently.

A flow reaction facility 10 includes a reaction section 23, a collecting section 26, a system controller 15, a first flow velocimeter to a third flow velocimeter 35a to 35c, a thermometer 35d, and a soft sensor 38. The first flow velocimeter to the third flow velocimeter 35a to 35c and the thermometer 35d detect reaction conditions in the reaction section 23, and output the detected reaction conditions as detection information. The soft sensor 38 applies the above detection information to a prediction function generated in advance using measurement data, and calculates a reaction result in the reaction section 23 as an arithmetic reaction result. The system controller 15 controls the reaction section 23 on the basis of the arithmetic reaction result.

A flow reaction support apparatus includes a computing section and a determination section. The computing section generates a prediction data set by calculating a prediction result for each reaction condition whose reaction result is unknown, using measurement data. The computing section extracts the reaction condition of the prediction result closest to a target result as an extracted reaction condition. The determination section determines whether or not a difference between the reaction result under the extracted reaction condition and the prediction result is within an allowable range, and adds, in a case where the difference is not within the allowable range, reaction information in which the extracted reaction condition and the reaction result are associated with each other to the measurement data.

The invention relates to a method for determining production parameters (1) for the production of a polymeric product, wherein a prediction model (7) is provided for calculating production parameters (1) based on polymeric product properties (4) on a computer system, which production parameters (1) comprise formulation portions (2) specifying raw material portions for polymeric production and comprise processing parameters (3) specifying process properties during polymeric production, wherein user input is provided to the computer system, which user input comprises user product parameter targets (5) specifying polymeric product properties (4), wherein the computer system applies the user product parameter targets (5) to the prediction model to calculate resultant production parameters (11) for the production of a polymeric product associated with the user product parameter targets (5). The invention also relates to a corresponding computer system.