A control system configured to serve one or more energy loads in a building comprises equipment configured to consume, produce, or store one or more resources including electricity, water, natural gas, steam, hot thermal energy, cold thermal energy, or electrical energy. The control system includes an asset allocator configured to receive an input model that describes a physical layout of the equipment and create a net list that defines connections between the equipment using the input model. The asset allocator is configured to discover one or more systems of interconnected equipment and one or more groups of equipment using the net list, formulate an optimization problem using the systems and groups of equipment, and operate the equipment according to the optimization problem.

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.

A desired position instruction of a user is generated even if a plurality of position instructions satisfying a vibration control condition exist. An instruction generator includes a conditional expression selector configured to select a conditional expression that should generate the position instruction from a plurality of conditional expressions based on a control performance condition, a parameter calculator configured to calculate a parameter based on a machine performance index and the selected vibration control conditional expression, and a position instruction generator configured to calculate the position instruction based on the parameter.

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.

The present invention relates to method for modifying process parameters based on optimum operation performance criteria for a metal working process, said method comprising the steps of inputting standard process parameters for at least one product to be machined and generating operational data based on the standard process parameters. Operational data is compared with optimized operation performance criteria and is presented to a decision-making entity. This entity may be allowed to modify the process parameters so as to improve operation of the metal working process.

A control system operates equipment to consume, produce, or store one or more resources. The control system obtains modeling input describing a physical layout of the equipment. The modeling input may indicate a bidirectional connection between the equipment or a bidirectional port of the equipment. The control system determines one or more cycles formed by the equipment based on the modeling input. A cycle may include a path of directed connections between the equipment that forms a closed loop. The control system formulates a control problem using the one or more cycles formed by the equipment and operates the equipment according to the control problem.

Method for operating at least one apparatus (1) for additively manufacturing of three-dimensional objects (2-5) by means of successive layerwise selective irradiation and consolidation of layers (6) of a build material which can be consolidated by means of an energy beam (12), wherein at least one object (2-5) is being built by successively irradiating layers (6) of the object (2-5) in a build plane (13), wherein at least one part (16-31) of at least one layer (6) of the object (2-5) is assigned to be irradiated by a first energy beam (12) and at least one other part (16-31) of at least one layer (6) of the object (2-5) is assigned to be irradiated by another energy beam (12), wherein the parts (16-31) of layers (6) are assigned to be irradiated by one of the at least two energy beams (12) based on a Huffman coding.

A central plant control system configured to serve one or more energy loads in a building comprises equipment configured to consume, produce, or store one or more resources including electricity, water, natural gas, steam, hot thermal energy, cold thermal energy, or electrical energy. The central plant control system further comprises an asset allocator configured to receive an input model that describes a physical layout of the equipment of the central plant and create a net list that defines connections between the equipment of the central plant using the input model. The asset allocator is further configured to discover one or more systems of interconnected equipment and one or more groups of equipment using the net list, formulate an optimization problem for the central plant using the systems and groups of equipment, and operate the equipment of the central plant according to the optimization problem.

A flowchart of a process plant is compiled by linking graphical process objects representing operator-controllable and observable facilities of the plant when planning a process plant, wherein the process in the process plant is simulated with reference to simulation models assigned to the graphical process objects during a simulation phase, where simulation models include energy consumption models that describe the electrical energy consumption of the respective facilities to be described as a function of measurable or known process variables in the plant and hence enable simulation and optimization of the automation with respect to electrical energy consumption and energy efficiency.

In accordance with at least one embodiment, 3D printing resource allocation may include receiving 3D modeling data from a device; slicing the 3D modeling data along a plurality of slicing directions; analyzing the sliced 3D modeling data, with the analyzing pertaining to, at least, a calculated cost and estimated quality of for the slicing of the 3D modeling data along each of the respective slicing directions; generating at least one recommendation for 3D printing based on, at least, the analysis of the sliced 3D modeling data; and transmitting the at least one 3D printing recommendation.