A data generation device generates a data set consisting of a plurality of pieces of learning data for training a neural network in which a plurality of layers are connected by a plurality of connection weights, the neural network outputting a production result corresponding to a process condition in a case where the process condition is input in a process for producing a product. At this time, assuming that a total number of the connection weights of the neural network is M0, a plurality of the process conditions of 2×M0 or more are set. In addition, a production result corresponding to each of the plurality of process conditions is acquired, which is derived by producing the product under each of the plurality of process conditions. The plurality of pieces of learning data consisting of the plurality of process conditions and the production result are generated as the data set.

A system and method for optimized industrial production using machine learning. The method includes creating a model defining dependencies among a plurality of parameters for an industrial production process, the plurality of parameters including a plurality of controlled parameters and a plurality of monitored parameters; training an agent via reinforcement learning based on iterative application of the model, wherein the agent is trained to determine new values for the plurality of controlled parameters based on current values of the plurality of monitored parameters in order to optimize the industrial production process with respect to at least one predetermined objective; and iteratively modifying, by the trained agent, current values of the plurality of controlled parameters in real-time during operation of the industrial production process.

A system including a gas production device including (a) a solid containing compartment configured to contain a solid, (b) at least one fluid channel with an inlet and an outlet comprising an opening along at least a portion of its length, the opening facing the solid, (c) a solution compartment configured to contain a solution, the solution compartment: (1) being in fluid communication with the fluid channel inlet and outlet, (2) located along a fluid pathway in between the fluid channel outlet and inlet, and (3) at least one hydrogen gas outlet, (d) a fluid flow driver in fluid communication with the fluid pathway, and (e) a fluid flow rate regulator connected to the fluid flow driver. Disclosed is also a method for producing a gas (e.g., hydrogen).

Described herein is a continuous process for producing polyurethane prepolymers in a residence time reactor with plug flow. Also described herein is a method of using these prepolymers for producing polyurethanes.

There is described a method of using a feedstock gas reactor. Reaction of feedstock and combustion gases in the reactor produces hydrogen through pyrolysis of the feedstock gas. At least some of a mixed product stream extracted from the reactor may be recycled to the reactor to drive further pyrolysis of the feedstock gas. A portion of the recycled mixed product stream may be recirculated back to a combustion chamber of the reactor, and a portion of the recycled mixed product stream may be recirculated back to a reaction chamber of the reactor.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a process of manufacturing a biologic pharmaceutical. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of input settings for manufacturing a batch of a biologic pharmaceutical based on a causal model that measures current causal relationships between input settings and a measure of a quality of batches of the biological pharmaceutical; ii) determining a measure of the quality of a batch of the biological pharmaceutical manufactured using the configuration of input settings; and iii) adjusting, based on the measure of the quality of the batch of the biological pharmaceutical, the causal model.

The present invention relates to a process for quantitative monitoring of the composition of an oligomer/monomer mixture containing a plurality of mixture components. The process according to the invention is characterized in that the quantitative composition of the oligomer/monomer mixture is measured by means of an NIR spectroscopy measuring unit (7) under the application of a chemometric method, wherein the liquid pressure in the quantitatively monitored oligomer/monomer mixture p.sub.L>3 bar. Further, the invention relates to an apparatus for quantitative monitoring of the composition of an oligomer/monomer mixture containing a plurality of mixture components, and an installation (100) for producing a polymer product.

A device for magnetic field-assisted simulation of zero-microgravity flame synthesis of nanoparticles includes a gradient magnetic field device, a combustor and a product collection device. The gradient magnetic field device is composed of two magnetic field devices arranged face to face. The combustor is located between the two magnetic field devices. The outlet of the combustor is vertically upward. The position is below the magnetic field center of the gradient magnetic field device. The body force acting on the flame and surrounding magnetic species thereof by the gradient magnetic field device counteracts the gravitational buoyancy lift effect, so that flame synthesis is carried out under a simulated zero/microgravity flame to prepare the nanoparticles. The device is able to use a gradient magnetic field to simulate the zero/microgravity flame on the ground to synthesize the nanoparticles under special flame characteristics, with reduced flame disturbance, improved stability, and no overheated region.

An exhaust gas after-treatment system includes a first reactor installed in an exhaust flow path, a second reactor disposed at a downstream side from the first reactor, a first reducing agent injection unit and a second reducing agent injection unit configured to respectively inject a reducing agent toward the exhaust gas to be introduced into the first reactor and the second reactor, a first temperature sensor and a second temperature sensor configured to respectively measure a temperature of the exhaust gas to be introduced into the first reactor and the second reactor, and a control device configured to control whether to inject the reducing agent from the first and second reducing agent injection units and the amount of reducing agent to be injected on the basis of temperature information provided by the first and second temperature sensors.

A process and system for monitoring and controlling the operation of a dehydrogenation reactor is provided. Samples of hydrocarbon streams are taken at sampling locations to be analyzed at a single gas chromatograph or other analytical equipment. Actions can be taken to modify the operation of the dehydrogenation reactor as necessary to maintain its operation within predetermined parameters. In particular, actions may be taken when a hydrocarbon stream exhibits an amount of cracking that is outside parameters. It is usually intended that actions will be taken on a gradual basis once or twice per day to reduce the cost of the process while still providing the necessary changes to operations.