Abstract: A method for evaluating spectra of a biological substance of animal and/or vegetable origin, may include (a) detecting a spectrometer in a network formed of at least one spectrometer and an input/output device, (b) requesting the individual status of each spectrometer in the network of (a), and displaying the detected spectrometers and their status on the input/output device, the status reflecting if a spectrometer is available for recording a spectrum or not, (c) receiving a selection from the spectrometers being available for recording a spectrum on the input/output device, (d) recording a spectrum of a sample material of animal origin, vegetable origin or a mixture thereof on the spectrometer selected in (c), (e) predicting a value for at least one parameter from the spectrum of (d) by a calibration function and/or calibration graph suitable for predicting the parameter value, and (e) displaying the result from (e) on the input/output device.

Abstract: Various embodiments of the teachings herein include a computer aided method for generating training data for a neural network designed to determine a pollutant concentration at a measurement station from a pollutant emission. The method may include: providing a measurement series of the concentration containing a value above a threshold; providing a measurement series for a variable related to the pollutant concentration; providing a transmission model modelling a relationship between the pollutant emission, the measured variable, and the pollutant immission at the measurement station; computing a first value of the pollutant immission using the transmission model using a value of the measured variable; computing a second value of the pollutant immission using the transmission model by numerically altering the measured value of the measured variable; and generating a synthetic measurement series as training data by an alteration based at least in part on a relative change in computed values.

Abstract: A method for evaluating spectra of a biological substance of animal and/or vegetable origin, may include (a) detecting a spectrometer in a network formed of at least one spectrometer and an input/output device, (b) requesting the individual status of each spectrometer in the network of (a), and displaying the detected spectrometers and their status on the input/output device, the status reflecting if a spectrometer is available for recording a spectrum or not, (c) receiving a selection from the spectrometers being available for recording a spectrum on the input/output device, (d) recording a spectrum of a sample material of animal origin, vegetable origin or a mixture thereof on the spectrometer selected in (c), (e) predicting a value for at least one parameter from the spectrum of (d) by a calibration function and/or calibration graph suitable for predicting the parameter value, and (e) displaying the result from (e) on the input/output device.

Abstract: Various embodiments include a method for verifying sensors for a sensor network including a reference sensor comprising: identifying a first sensor; locating the identified sensor; comparing a measured value recorded by the identified sensor to a measured value recorded at the same time and within a defined spatial environment using the reference sensor; determining a deviation of the measured value of the identified sensor from the measured value of the reference sensor; and assigning the sensor to precisely one of at least two categories depending on an amount of the deviation.

Abstract: Various embodiments of the teachings herein include a computer-aided method for generating training data for a neural network used to determine a pollutant concentration from a pollutant emission. The method may include: providing a first series of the pollutant concentration with one reading above a defined threshold value; providing a second series for a physical measured variable related to the pollutant concentration; providing a model for a relationship between the two; computing a first value of the pollutant emission with the model using a value of the measured variable related to a value of the pollutant concentration; computing a second value of the pollutant emission with the model by numerically altering the measured value of the measured variable; and generating a synthetic measurement series as training data using an alteration of the value of the measured series, using the relative change in the computed values of the pollutant emissions.

Abstract: A method and system includes subject participants, a verifier participant and a certifier participant of a communication network exchanging information about ESG data, wherein a subject participant provides a proof derived from an ESG credential and the verifier participant receives the proof via the communication network, where the participant receives the ESG credential from the certifier participant, the proof assigns authenticity of the certifier participant providing the ESG credential, wherein the proof additionally assigns integrity of the ESG data, parts or an attribute of the ESG data, wherein the system further includes nodes of a decentralized registry that manages a public key of the certifier participant, where the decentralized registry provides a public key of the certifier participant corresponding to the proof to the verifier participant so that the verifier participant can cryptographically verify the authenticity and integrity with the public key via a computing component of the verifier pa

Abstract: Various embodiments include a method for verifying sensors for a sensor network including a reference sensor comprising: identifying a first sensor; locating the identified sensor; comparing a measured value recorded by the identified sensor to a measured value recorded at the same time and within a defined spatial environment using the reference sensor; determining a deviation of the measured value of the identified sensor from the measured value of the reference sensor; and assigning the sensor to precisely one of at least two categories depending on an amount of the deviation.

Abstract: In a method for making long fiber-reinforced molded plastic parts, a continuous stand-reinforced melt is injected into a mold, after the latter has been closed, causing the mold to open until a predefined compression gap has been reached. The injection of long fiber-reinforced melt into the mold is continued and the mold is closed again. After permitting the long fiber-reinforced melt to cool down, the mold is opened and the end product removed. In this way, fibers can be introduced in a comparatively gentle manner into the mold and distributed therein, and fiber breakage and formation of surface marks are largely prevented.

Abstract: A foaming agent charging and mixing device comprises at least one mixing device and one foaming agent metering device, wherein the foaming agent charging and mixing device may be arranged between an plasticating screw and a mold. In order to improve the foaming agent charging and mixing device in a manner that the mixing with foaming agent is facilitated and at the same time a risk of obstruction of the foaming agent metering device is avoided, the foaming agent metering device is alternately opened and closed through the mixing device during operation thereof for supplying foaming agent to the plastic melting.

Abstract: An injection assembly for an injection molding machine, with a continuously operating plasticizing unit, includes a piston-type injection unit and an arrangement for intermediate storage and discharge of melt. Several melt reservoirs with melt inlet openings are provided between the plasticizing unit and the piston-type injection unit. Melt lines that connect the melt reservoirs with each other and with the plasticizing unit extend to the melt inlet openings. The melt reservoirs include actuatable work pistons for discharging the melt, wherein the work pistons can open and close the melt inlet openings in the melt reservoirs to divert the melt flow. The disclosed injection unit increases the total volume of bufferable melt and allows individual and separate adjustment of the reservoir volumes and the discharge velocity of the individual melt reservoirs. In addition, switching valves can be eliminated since the melt flow is switched by the work pistons.

Abstract: A foaming agent charging and mixing device comprises at least one mixing means and one foaming agent metering means, wherein the foaming agent charging and mixing device may be arranged between an plasticating screw and a mold.

Abstract: An injection assembly for an injection molding machine, with a continuously operating plasticizing unit, includes a piston-type injection unit and an arrangement for intermediate storage and discharge of melt. Several melt reservoirs with melt inlet openings are provided between the plasticizing unit and the piston-type injection unit. Melt lines that connect the melt reservoirs with each other and with the plasticizing unit extend to the melt inlet openings. The melt reservoirs include actuatable work pistons for discharging the melt, wherein the work pistons can open and close the melt inlet openings in the melt reservoirs to divert the melt flow. The disclosed injection unit increases the total volume of bufferable melt and allows individual and separate adjustment of the reservoir volumes and the discharge velocity of the individual melt reservoirs. In addition, switching valves can be eliminated since the melt flow is switched by the work pistons.

Abstract: An injection unit for injecting plastic into a cavity of a mold includes an injecting device connectable between an extrusion die and the mold. The injecting device includes a mouth having a plurality of openings that is insertable into the mold so that the plastic flows through the plural holes into the mold. A drive is connectable to at least a portion of the injecting device for rotating the mouth portion and the plural opening of the injecting device about a central axis as the plastic flows through the holes into the mold.