A method includes acquiring, by a vibro-acoustic sensor in a vicinity of a machine, vibro-acoustic signals due to an operation of the machine. The acquired vibro-acoustic signals are analyzed so as to estimate at least two operational parameters of the machine, selected from a group of the operational parameters consisting of an uptime factor, a production speed factor, and a production quality factor of the machine. An overall equipment effectiveness (OEE) of the machine is computed, the computed OEE including at least one of a minimum and a product of the at least two estimated operational parameters.

The invention relates to a method (100) for controlling film production, in which at least one film is produced according to at least one formula information (R), the following steps being carried out: initiation of execution (210) of a film production process such that a film is produced on the basis of a specific formulation information (R); determination of monitoring information (I) during the execution (210) of the process; determination of at least one fingerprint (F) on the basis of the specific formula information (R) and on the basis of the monitoring information (I) such that the execution (210) of the process is characterised on the basis of the fingerprint (F); and comparison of the fingerprint (F) with a control matrix (M) such that at least one comparative result is determined in order to control the film production on the basis of the control matrix (M) as an evaluation basis.

There is provided a configuration that includes a device-status-monitoring controller that stores, in a storage section, device data generated by the apparatus; an analysis-support controller that acquires the device data related to abnormality analysis information from the storage section based on basic information that includes: information that defines an abnormal event, at least one of the device data corresponding to the abnormal event, and step information indicating a step where the at least one of the device data is generated; and recipe-specific information that includes at least a recipe name; and a display device that displays the device data related to the abnormality analysis information in a manner that goes back to a past time from a time when a latest recipe specified by the recipe name is executed.

A micro grid power system includes a plurality of generator sets, a photovoltaic system, an external load, and a controller. Each generator set includes an engine and a sensor to determine a temperature of exhaust gases exiting the engine. The photovoltaic system includes a plurality of photovoltaic panels for generating power. The external load is powered by the plurality of generator sets and the photovoltaic system. The controller is configured to determine the external load, and control the plurality of generator sets to maintain the temperature above a threshold temperature. The controller is further configured to determine a remaining load which is the external load subtracted by a portion of the external load powered by the plurality of generator sets, and control the photovoltaic system to power the remaining load.

A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

A micro grid power system includes a plurality of generator sets, a photovoltaic system, an external load, and a controller. Each generator set includes an engine and a sensor to determine a temperature of exhaust gases exiting the engine. The photovoltaic system includes a plurality of photovoltaic panels for generating power. The external load is powered by the plurality of generator sets and the photovoltaic system. The controller is configured to determine the external load, and control the plurality of generator sets to maintain the temperature above a threshold temperature. The controller is further configured to determine a remaining load which is the external load subtracted by a portion of the external load powered by the plurality of generator sets, and control the photovoltaic system to power the remaining load.

A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

An inspection system of remotely or autonomously inspecting a mobile body movable through unattended operation includes: a processor that generates and outputs a control instruction that causes the mobile body to operate; and executes an abnormality process in a case where a difference obtained by comparing at least two of physical quantities for the mobile body as a target is more than a criterion value, the physical quantities including a first physical quantity related to operation of the mobile body achieved according to the control instruction, the first physical quantity being calculated using the control instruction, a second physical quantity related to the operation, calculated using a detection result from an internal sensor mounted on the mobile body, and a third physical quantity related to the operation, calculated using a detection result from an external sensor positioned outside the mobile body.

Various methods for changing an operating state of a machine tool are provided. A machine tool has an acceleration sensor, wherein the acceleration of the machine tool may be recorded in the three spatial directions by the acceleration sensor. Based on these values, a total acceleration may be ascertained, which may be compared with a threshold value a_drop. The machine tool may be switched off, for example, or change its operating state if the total acceleration exceeds the threshold value a_drop for longer than a time period t_drop. According to an alternative method for changing an operating state of a machine tool, the machine tool may be switched off or change its operating state if the total acceleration is below the threshold value a_drop for longer than a time period t_min_drop_impact and exceeds a second threshold value a_impact within a time period t_post_drop_impact. A machine tool for carrying out one of the methods for changing an operating state of the machine tool.