The present invention is a system and predictive modeling method specially designed to improve process control and energy efficiency for a smelting process used to produce pure metal from an ore containing said metal. Data is collected from various sensor sources in the smeltering process to predict whether an increase or decrease is needed in controlling two variables comprising temperature and an additive that allows the reaction in the electrolytic process to proceed at a lower bath temperature. The invention provides a generalized framework to learn the complex heterogeneity embedded in the collected data, and employs a regularized non-negative matrix factorization problem, which simultaneously decomposes the instance-feature and instance-label matrices, while enforcing task relatedness, feature type consistency and label correlations on the collected data. The predictive modeling method disclosed herein effectively mines the hidden correlation among the heterogeneous data and improves the prediction accuracy.

A scanning path is divided after every predetermined number of segments and a set of measurement commands is defined for each of the predetermined number of segments. While executing the measurement command, a speed pattern plan is created for the following measurement command. At this time, planning is conducted such that a final speed of a speed pattern plan of the measurement command is the same as an initial speed of the speed pattern plan of the following measurement command. While executing the measurement command, a gap time (from a current time to an estimated end time of the measurement command) is calculated continuously. When the gap time is longer than a planning calculation time, the initial speed of the speed pattern plan of the following measurement command is kept the same as the final speed of the speed pattern plan of the measurement command.

This application describes an infrastructure for storing fabric totes, as well as techniques for use of fabric totes in the infrastructure that use mechanical systems to transport the fabric totes and/or access inventory items in the fabric totes. The infrastructure may include a conveyor system configured to transport the fabric totes, drive units configured to transport the fabric totes, inventory pods configured to house the fabric totes, and/or various other mechanical systems for accessing contents and/or transportation of the fabric totes. Additionally, the fabric totes may be accessed and transported manually within the infrastructure.

The present disclosure relates to a mute operation method and a mute operation apparatus for an automatic cleaning device, the mute operation method includes: receiving a mute instruction; planning a mute cleaning path according to the mute instruction; switching to a mute mode and performing a cleaning operation according to the mute cleaning path.

Techniques for commissioning a process control device in a process plant include obtaining, at a portable computing device, commissioning data for commissioning the respective process control device for operation, such as a device tag. The portable computing device then transfers the commissioning data to a component in the same process control loop as the process control device via a wireless communication link. For example, the component includes a radio-frequency identification (RFID) or near field communication (NFC) unit for receiving RFID/NFC signals. When the portable computing device is within RFID/NFC communication range of the component, the commissioning data is transferred via an RFID/NFC signal to the component. The commissioning data is received while the component is in an unpowered state, where the RFID/NFC signal energizes the RFID/NFC unit at the component for receiving the signal.

A method for accurately producing the drilled hole in a wall of a component fabricated by investment casting process, such as for use in a blade or steam turbine includes the following steps. The 3D data of actual component is obtained from the measurements or from the numerical simulation. The actual model and the ideal model are aligned and compared, a series of cutting planes are given to establish a series of 2D cross-sections of the actual and ideal models after registration. Each cross-section is dispersed into discrete points, the distance between each corresponding points are calculated and formed into 2D displacement. The accurate parametric model consisting of the depth, hole center, and the nominal vector is obtained on the basis of considering the deviations in geometrical and positional values. The drilled hole is then produced according to the corrected parametric drilled-hole geometrical and positional value.

An automated computer-implemented method for generating commands for controlling a computer numerically controlled machine to fabricate an object from a workpiece, the method including the steps of selecting a maximum permitted engagement angle between a rotating cutting tool and the workpiece, selecting a minimum permitted engagement angle between the rotating cutting tool and the workpiece, and configuring a tool path for the tool relative to the workpiece in which the engagement angle gradually varies between the maximum permitted engagement angle and the minimum permitted engagement angle.

Generally, this disclosure relates to methods of prioritizing or directing available power to a main device, such as a temperature-stabilized and/or temperature-controlled storage container. In an embodiment, the method may include measuring electrical power available from a solar photovoltaic module array that is electrically coupled to the main device, and modulating the electrical power drawn by the main device based on the available electrical power. Available power unused by the main device may be diverted to one or more secondary devices.

The present invention is a system and predictive modeling method specially designed to improve process control and energy efficiency for a smelting process used to produce pure metal from an ore containing said metal. Data is collected from various sensor sources in the smeltering process to predict whether an increase or decrease is needed in controlling two variables comprising temperature and an additive that allows the reaction in the electrolytic process to proceed at a lower bath temperature. The invention provides a generalized framework to learn the complex heterogeneity embedded in the collected data, and employs a regularized non-negative matrix factorization problem, which simultaneously decomposes the instance-feature and instance-label matrices, while enforcing task relatedness, feature type consistency and label correlations on the collected data. The predictive modeling method disclosed herein effectively mines the hidden correlation among the heterogeneous data and improves the prediction accuracy.

A portable field maintenance tool system for performing a plurality of different functional tasks on one or more equipment assets in a plant includes a handheld base and a plurality of functional modules for attachment to the handheld base. Each functional module, when operatively attached to the handheld base, interacts with computer circuits on the handheld base to perform a pre-defined one or more of the functional tasks. A portable handheld field maintenance tool for performing one or more pre-selected ones of the functional tasks on an equipment asset in a plant is formed by operatively mounting any one of the functional modules to the handheld base.