A control system for a device for continuously conveying material is provided for at least one conveyor belt device adapted for continuously conveying the material and having at least one conveyor belt. The conveyor belt device can be operated by one or more drives in working processes to provide a predeterminable setpoint conveyor flow. The control system is configured to register at least one value of a power and/or energy consumed by at least one of the drives during a working process and to determine an energy efficiency for the respective working process and for the predetermined setpoint conveyor flow with the aid of the at least one value of the consumed power and/or energy. The control system also configured to provide control data relating to drive speed for the at least one drive as a function of the energy efficiency.

A system for controlling automation includes a machine which collects data generated by performance of an operation by the machine. A user device displays a machine control interface (MCI) corresponding to the machine. The MCI displays the collected data to a touch interface of the user device, and defines at least one touch activated user interface element (UIE) for manipulating the data. The user device can be enabled as an automation human machine interface (HMI) device for controlling an operation performed by the machine, such that a touch action applied to a UIE of the MCI controls the operation. A prerequisite condition to enabling the user device as an automation HMI device can include activation of an enabling switch selectively connected to the user device. The MCI can be stored in a memory of the enabling switch and retrieved from the enabling switch by the user device.

A method and system are provided that synchronize one or more appliances to one or more users' schedules. Sensor data may be obtained from a sensor. The sensor data may indicate a state of a first appliance. A user location may be determined. A first characteristic of the first appliance may be obtained. Based upon the user location and the sensor data, a schedule indicating when the user will desire a state change of the first appliance may be determined. A feature of the first appliance may be dynamically modified to cause the first appliance to operate according to the schedule. A notice may be sent to the user that contains information about the first appliance.

Feedback is received from a plurality of devices. External data is also received. Statistical patterns of the plurality of devices are determined based on the feedback. A policy is determined based on the statistical patterns, the feedback, and the external data. The policy may include a set of rules dictating the operation of each of the plurality of devices and reducing energy consumption at the plurality of devices. Control data based on the policy is transmitted to the plurality of devices. The control data may be operative to transform the operation of the plurality of devices according to the set of rules.

A system includes: a location tracking subsystem in a facility containing support structures supporting items; a plurality of mobile computing devices associated with respective users; and a plurality of autonomous transporters to transport items transferred by users from the support structures, and/or transport items to the support structures for transfer thereto by users. User profiles contain, for each user, a physical activity metric and a physical activity target. The system includes a server to: obtain, from the location tracking subsystem, transporter and mobile device locations; obtain a task defining a task location, and an identifier of an item for transfer to or from a support structure at the task location; select a transporter, according to the task and transporter locations; select a mobile device, according to the task and mobile device locations, the physical activity metrics and targets; and allocate the task to the selected transporter and mobile device.

A distributed industrial energy operation optimization platform which is capable of automatically constructing intelligent models and algorithms, is divided into three parts: a modeling terminal, a background service and a human-computer interface. The models like data pre-processing, energy generation-consumption-storage trend forecasting and optimal scheduling decision models are encapsulated in the modeling terminal as different visualization modules facing with multiple categories production scenarios, by dragging which the complex functional models can be realized conveniently. The background service is capable of automatically constructing the training samples and the production plans/manufacturing signals series according to the device model requirements of each edge side, interacts with the trained intelligent models through corresponding interfaces, and the computing results are saved in the specified relational database. The computing results are displayed through a friendly customer human-computer interface, and the real-time state of current working condition can also be adjusted.

A system and method for controlling automation includes a machine performing at least one operation and including a sensor for generating data in response to a performance of the operation by the machine. Data generated by the sensor is stored for retrieval by a server in data memory storage. The server includes at least one display template for displaying the data, and the server generates a data display by populating the at least one display template with the data. The data template can be populated with data in real time, to display the data display immediate to the generation of the data. The display template includes a data feature which is differentiated for displaying the data feature in a mode determined by the data populating the data display. The data display can be displayed in real time by a user device in communication with the server.

In one embodiment, a tangible, non-transitory computer readable medium stores instructions that, when executed by a processor, cause the processor to receive one or more inputs relating to mechanical design and desired motion of an industrial machine and iteratively generate an enhanced motion profile until it converges to a motion profile within boundaries based on the one or more inputs, and that minimize energy cost. The enhanced motion profile reduces energy consumption when applied to a motor drive to control a motor connected to the industrial machine. The instructions, when executed by the processor, may also cause the processor to apply the enhanced motion profile to the motor drive to control the motor connected to the industrial machine.

The present disclosure describes systems and methods for quantifying operating strategy energy usage. One embodiment describes an industrial control system that includes a tangible, non-transitory, computer readable medium storing a plurality of instructions executable by a processor of the industrial control system. The instructions include instructions to determine a plurality of operating strategies associated with an industrial automation component that is communicatively coupled to the industrial control system, in which each of the plurality of operating strategies includes a set of operational parameters associated with the industrial automation component, determine an expected energy usage cost associated with the industrial automation component for each of the plurality of operating strategies, determine an expected value added associated with the industrial automation component for each of the plurality of operating strategies, and select one of the plurality of operating strategies for operating the industrial automation component based at least in part on the expected energy usage cost and the expected value added associated with each of the plurality of operating strategies.

A system for controlling automation includes a machine which collects data generated by performance of an operation by the machine. A user device displays a machine control interface (MCI) corresponding to the machine. The MCI displays the collected data to a touch interface of the user device, and defines at least one touch activated user interface element (UIE) for manipulating the data. The user device can be enabled as an automation human machine interface (HMI) device for controlling an operation performed by the machine, such that a touch action applied to a UIE of the MCI controls the operation. A prerequisite condition to enabling the user device as an automation HMI device can include activation of an enabling switch selectively connected to the user device. The MCI can be stored in a memory of the enabling switch and retrieved from the enabling switch by the user device.