A predictive maintenance system for an irrigation system includes one or more sensors configured to generate a signal indicative of abnormal operation within the irrigation system, the sensors electrically coupled to a drive system, a processor, and a memory. The memory includes instructions stored thereon, which when executed by the processor cause the predictive maintenance system to receive the generated signal, determine abnormal operation of the drive system based on the generated signal, and predict, by a machine learning model, a maintenance requirement of the drive system based on the determined abnormal operation.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

The invention relates to a method for operating a textile machine (1) with a multiple number of similar work stations (2), whereas, with the assistance of work stations (2) during normal operation, yarn is produced or is rewound from a delivery coil onto a receiving coil, and whereas normal operation at the individual work stations (2) is interrupted at certain time intervals and is resumed with the assistance of a maintenance operation, and whereas the maintenance operations are carried out by one or more maintenance devices (3). In accordance with the invention, it proposed that for each work station (2), one or more production-related parameters are known or are determined, and that if more maintenance operations are to be carried out simultaneously than can be carried out by the maintenance devices(s) (3), the selection of the work station (2) to be serviced next will then be made under consideration of such production-related parameters, in such a manner that an upcoming batch change is completed as early as possible.

A method for controlling/regulating a rotatory drive of a working unit of a track maintenance machine includes using a sensor to record a measurement parameter with an approximately periodic history function derived from a rotation of the drive. A frequency or period duration of the history function is determined with an evaluation device, and the frequency or period duration is compared with a target parameter for stipulating a control signal. A number of time-discrete measurement values is formed for the measurement parameter and an auto-correlation of these measurement values is carried out by a calculation unit for determining the frequency or the period duration. As compared to a conventional method with zero stage recording, a precise recording of frequency changes is therefore also possible between two zero stages. A device for carrying out the method is also provided.

A method provides automated assistance with a recording of a repair of a motor-driven tool. The method a) ascertains at least one component of the tool, at least one assembly group of the tool, and/or at least one component and/or assembly-group type of at least one component and/or at least one assembly group, wherein the component and/or the assembly group have been handled during the repair of the tool, b) determines a number of possible actions carried out during the repair of the tool on the basis of the ascertained component, the ascertained assembly group and/or the ascertained component and/or assembly-group type, and c) outputs the determined number of possible actions.

A method includes determining a current situation to be present in a process controlled by an industrial process control and automation system (IPCS) that includes at least one process controller coupled to input output (I/O) modules coupled to field devices including sensors and actuators that are coupled to processing equipment. Responsive to the current situation, displaying a plurality of suggested actions each including at least one step in a selectable panel in a human machine interface (HMI) associated with an operator computing system for an operator that is coupled to the process controller. Responsive to the displaying, the operator selects in the selectable panel at least one of the plurality of suggested actions (selected action). The selecting of the selected action results in the IPCS automatically implementing at least in part the step(s) associated with the selected action.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

An automated carrier system is disclosed for moving objects to be processed. The automated carrier system includes a base structure of a carrier on which an object may be supported, and at least two wheels mounted to at least two motors to provide at least two wheel assemblies, the at least two wheel assemblies being pivotally supported on the base structure for pivoting movement from a first position to a second position to effect a change in direction of movement of the carrier.

System, equipment, and procedure for monitoring, predictive maintenance, and operational optimization of vibrating screeners represented by an inventive solution in the industry and trade of vibrating equipment, with mechanically-driven vibration technology, with particular application to vibrating screening (Pe) equipment (Eq), aiming to monitor operational parameters, foresee the deterioration of the structural conditions of the equipment (Eq), so as to increase the interaction between maintenance and production engineering of the company, where, for such purpose, a system has been conceived whose architecture is composed of the following modules: hardware module (GHW), intelligence generation module (GI), data persistent layer module (CPD), and event management module (Ge), resulting in the conversion of the equipment (Eq)'s operational needs into a description of the performance parameters with functional analysis, synthesis, modeling, simulation, optimization, design, testing, and evaluation, integrating the performance parameters with the other requirements in the modeling process.

Examples of the present disclosure include methods and/or systems for fault diagnosis and solution recommendation. A method may include: obtaining original data including fault problem of a target device; analyzing the original data including fault problem to obtain problem description information; analyzing the problem description information to obtain a diagnosis report; and, according to the diagnosis report, obtaining a video and/or document solution for the fault based on a cloud knowledge map, and recommending the solution to a user. The knowledge map comprises: nodes representing the fault, video solution and/or document solution, and multiple edges representing the relationship between nodes.