A plurality of system control devices respectively include network interfaces for communicating with each other via a network. One of the plurality of system control devices functions as a master system control device, and the remaining system control devices function as slave system control devices. The master system control device transmits a control command to the slave system control devices by means of the network interface. The slave system control devices receive the control command by means of the network interfaces and supply an operation command to abatement devices in accordance with the control command. When unable to communicate with the master system control device, the slave system control devices either function as master system control devices or enter stand-alone operation mode.

A machine tool is provided with a main shaft configured to have a tool fitted to a distal end portion thereof, a tool magazine for holding a plurality of tools, a tool exchanging arm for exchanging tools between the tool magazine and the rotary main shaft, and a table for attaching a workpiece, wherein the machine tool machines the workpiece by causing the main shaft and the table to move relative to one another in accordance with a machining program, and wherein the machine tool: is provided with an image capturing device for capturing an image of the tool fitted to a tool holder, and an interference checking device which uses the machining program, and shape data relating to the workpiece, the tool, and the machine tool to simulate machining before machining is carried out, to check for the presence or absence of interference between at least the tool and the workpiece; and acquires the shape data relating to the tool from the interference checking device, generates a two-dimensional tool model from the acquired shape data relating to the tool, compares the two-dimensional tool model with an image of the tool captured by the image capturing device, and determines that the tool is invalid if an amount of displacement between the two-dimensional tool model and the image data is equal to or greater than a prescribed threshold.

Systems and methods for controlling chlorinators for pools and spas are provided. A controller communicates with a processor positioned within a replaceable cell cartridge of a chlorinator, to allow for remote control and diagnosis of the chlorinator and/or cell cartridge. The cell cartridge stores, in non-volatile memory on board the cartridge, one or more parameters associated with the cartridge. The controller can obtain this information from the processor of the cell cartridge, and can use same to configure operation of the chlorinator. Information relating to remaining cell life can be updated by the controller and stored in the non-volatile memory of the cell cartridge. Electrical and software-based mechanisms are provided for ensuring operation of only compatible cell cartridges with the chlorinator. A system for remotely diagnosing errors associated with the chlorinator is also provided.

A method for selecting optimum operation performance criteria for a metal working process. The method includes the step of developing a process model relating process parameters for the operation with performance variables for said operation, wherein the process parameters and performance variables are retrievable via integrated multiple data sources, and selecting at least one optimization technique to define a function, said function including process parameters. Moreover, the method includes generating the function for optimization by using acceptable tolerances of a product to be machined as a basis to define ranges for performance variables along with ranges for process parameters, and applying the at least one optimization technique to said function, whereby optimum operation performance criteria are calculated for the process model including process parameters and performance variables to obtain a set of requirements to be used for controlling the metal working process.

A method for transmitting at least one tool presetting data set of a machining tool that is stored on an, in particular electronic, storage medium, at least one tool measuring data set of the machining tool that is stored on an, in particular electronic, storage medium and/or at least one tool processing data set of the machining tool that is stored on an, in particular electronic, storage medium to a machine tool that is controlled via Computerized Numerical Control [CNC machine tool], with a data communication unit, wherein in a tool delivery step at least the machining tool is delivered to the CNC machine tool and wherein in a tool identification step the delivered machining tool is identified via a tool identification unit, which is in particular allocated to the CNC machine tool, the method including a read-out step, which is in particular situated temporally after the tool identification step, in which at least the tool presetting data set of the machining tool, the tool measuring data set of the machining tool and/or the tool processing data set of the machining tool are/is read out of the storage medium by the data communication unit and is transmitted to a data processing unit that is allocated to the CNC machine tool, in particular to the CNC machine tool, wherein the storage medium is arranged apart from the machining tool, apart from a tool holder holding the machining tool and apart from the CNC machine tool.

A cutting condition verification device configured to extract a cutting condition setting mistake in a machining program is provided with a program editing unit for creating or editing the machining program, a cutting condition extraction/storage unit configured to extract a cutting condition from the machining program, a cutting condition reference value calculation unit configured to calculate reference values for determining the normality or abnormality of the cutting condition, based on a description of another machining program executed in the past, a cutting condition determination unit configured to determine the normality or abnormality of the cutting condition, based on the reference values, and a cutting condition deviation command display unit configured to display the cutting condition determined to be abnormal in a table form.

A management method for a cutting tool of a machine tool is provided. A user host imports a graphical data of a workpiece and a cutting tool database into CAM, and a user may select cutting tools to establish a complete machining process. T codes are replaced with electronic tags. Before executing a machine code comprising the electronic tags, the machine tool re-scans the cutting tools assembled at a tool turret and updates cutting tool arrangement information to ensure that the tool turret is equipped with the cutting tools used in the machining process. When the machine tool stores the electronic tags, a ready message is displayed for reminding an operator. When the electronic tags are not stored, the current storage location of a cutting tool lacked in the machining process or a warning message is displayed at the operation interface for reminding the operator.

A tool selection unit has an analysis unit and a selection unit. The analysis unit determines a pick feed direction and the feed direction of a tool on the basis of information relating to the shape of a machining region including a double curved surface or a machining surface in the machining region, and creates parameter information in which at least a value relating to the smallest curvature radius in the machining surface and a value relating to the largest curvature radius in the pick feed direction are recorded. The selection unit selects a tool to use for machining the machining region on the basis of the parameter information, from among a plurality of tools having a bottom cutting edge and a side cutting edge formed in a curved-surface shape having a curvature radius different from a curvature radius of a curved surface of the bottom cutting edge.

A machine learning device included in a tool selecting apparatus includes a state observing unit that observes, as state variables indicative of a current environmental state, data related to machining condition, data related to cutting condition, data related to machining result, and data related to a tool, and a learning unit that, by using the state variables, learns distribution of the data related to the machining condition, the data related to the cutting condition, and the data related to the machining result, with respect to data related to the tool.

A machine tool having a function of automatically correcting a machining program in tool replacement includes: a signal output unit that outputs a signal when a tool is replaced; a machining unit that temporarily machines a workpiece to a predetermined target dimension using the replaced tool; a measurement unit that measures an actual dimension of the temporarily machined workpiece; a detection unit that detects a dimensional difference between the measured actual dimension and the target dimension; and an automatic correction unit that automatically corrects the machining program based on the dimensional difference, wherein the machining unit actually machines the workpiece based on the automatically corrected machining program.