A method for determining parameters of a high-frequency vibrating mill with three grinding drums is disclosed. The mathematic modeling is established by applying the average parameter method and transfer function method; the synchronization-stability capability coefficient curve, and the dimensionless coupling torque maximum value diagram of the system are obtained by the characteristic analysis of synchronization and stability. Finally, the curves of rotational velocity of motors, displacements of mass bodies, and phase difference between exciters are obtained by the simulation, and the correctness of the method is verified by the comparison of characteristic analysis and simulation. The parameters of the high-frequency vibrating mill of the present invention can lower the technical requirements of exciters, reduce the loss of the exciters, increase the service life of the mill.

A food processing apparatus for preparing a fluid food product includes a food processing chamber including a blade arrangement driven by a motor; a particle sensor arranged to measure an actual particle size within said fluid food product in said food processing chamber and a controller arranged to control the motor. The controller is communicatively coupled to the particle sensor and may disengage the motor in response to a signal from the particle sensor indicative of the actual particle size reaching a threshold value of no less than 400 μm within said fluid food product.

A food processing apparatus for preparing a fluid food product includes a food processing chamber including a blade arrangement driven by a motor; a particle sensor arranged to measure an actual particle size within said fluid food product in said food processing chamber and a controller arranged to control the motor. The controller is communicatively coupled to the particle sensor and may disengage the motor in response to a signal from the particle sensor indicative of the actual particle size reaching a threshold value of no less than 400 μm within said fluid food product.

The invention relates to a method for operating a ground milling machine, in particular a road milling machine, a stabilizer, a recycler, a surface miner or the like, having an interchangeable milling drum, wherein the milling drum is equipped with a plurality of milling tools, in particular round shank picks, wherein the milling drum has a current state, wherein a control unit is provided for controlling at least one function of the ground milling machine, and wherein the milling drum has a characteristic feature or a characteristic feature is assigned to the milling drum. According to the invention, provision is made that at least one data set containing information on the current state of the milling drum is stored in a storage unit, in that the characteristic feature identifying the milling drum is assigned to the data set in the storage unit, and this data set is transmitted to a processing device.

A rock processing machine is disclosed for crushing and/or grain size-dependent sorting of pourable rock material. The rock processing machine comprises a rock processing device having a crushing crusher device and a sorting screen, at least one camera system in whose field of view in the operation of the machine a surface of the pourable rock material is located, and a data processing device configured to process image data of the camera system via an artificial neural network. The data processing device is configured to ascertain at least one image area portion in image data recorded and transmitted by the camera system as an image object and to classify the ascertained image object by using the artificial neural network with respect to at least one object property from among a group of object properties comprising: object shapes; object sizes; object types; and/or object materials.

A rock processing machine is disclosed for crushing and/or grain size-dependent sorting of pourable rock material. The rock processing machine comprises a rock processing device having a crushing crusher device and a sorting screen, at least one camera system in whose field of view in the operation of the machine a surface of the pourable rock material is located, and a data processing device configured to process image data of the camera system via an artificial neural network. The data processing device is configured to ascertain at least one image area portion in image data recorded and transmitted by the camera system as an image object and to classify the ascertained image object by using the artificial neural network with respect to at least one object property from among a group of object properties comprising: object shapes; object sizes; object types; and/or object materials.

In a method for operating a system, a first vibration is imparted to a component of the system and the first vibration of the component is detected by a sensor. The sensor generates a sensor signal for transmission to a control device, which analyzes the sensor signal and determines whether a buildup is present on the component based upon the analysis of the sensor signal. A second vibration is imparted to the component to remove the buildup when the buildup has been detected.

The present invention relates to a self-propelled material processing and/or handling system for processing and/or handling construction and/or raw materials, in particular in the form of a mobile crushing system, with at least one working unit, which is drivable, by an electric unit drive, with an electric motor, at least one electric travel drive with an electric motor, as well as a control device to control the electric motors of the unit and travel drives. According to the invention, the control device comprises a common frequency converter for the at least one travel drive and the at least one unit drive and provides various parameter sets for the common frequency converter so that the travel drive is actuatable by the frequency converter on the basis of a first parameter set and the unit drive is actuatable by the common frequency converter on the basis of a second parameter set.

A grinder includes a grinding table rotatable about a first rotational axis and at least two grinding rollers. Each of the at least two grinding rollers is arranged for rotation about a second rotational axis such that ground material can be comminuted between the grinding table and the grinding rollers during operation. A sensor arrangement can detect a change in inclination of the grinding table beyond a given threshold value.

Embodiments according to the present invention relate to an apparatus and method for plant transportation using a smart conveyor. Embodiments of the present invention provide enhanced capabilities as a result of integrating robotic features, automations, artificial intelligence, queuing, fault control, automatic transport, scalability, safety measures, smaller footprint, and other computerized functions, along with a creative business model. In design of this invention the following high-level requirements were achieved: scalable for small, medium, and large businesses; safer than other machines in the market; sanitation consideration; simplicity in maintenance, and automated functions to reduce the need for labor (e.g., integration of robotics, AI, and/or other computerized systems).