An intelligent display assembly includes a display and a microcontroller. The display is mounted to a CNC machine and provided with a light emitting module and a display module opposite to the light emitting module. The microcontroller is electrically connected with the CNC machine and the display, such that the microcontroller receives an operating status signal outputted by the CNC machine, and according to the operating status signal, the microcontroller controls the light emitting module to emit light and controls the display module to display processing information, such as processing time, processing quantity, waiting time, and failure time. This allows operators to grasp the processing information in real time and improve management efficiency.

To assist appropriately in performing a recovery operation of a device. A guidance information presentation apparatus includes: a guidance information receiving unit configured to acquire guidance information including access information and safety information, the access information including a moving route to reach an estimated location of a failure in an apparatus as a recovery target, and an operation procedure, the safety information indicating safety of the moving route and the operation procedure in the access information; and a guidance information displaying unit configured to perform, on a basis of the guidance information, notification for a guidance of the moving route to the estimated location of the failure in the apparatus as the recovery target, and the operation procedure, and notification that indicates the safety of the moving route and the operation procedure.

A voice control system for operating machinery mainly comprises: an autonomous reaction device (1) for receiving input of a voice command (11) to establish or perform operation of at least one machining task of a specific set of industrial machinery; an interaction manager (2) for receiving and outputting the voice command (11), the interaction manager (2) including interpreting an acoustic modeling algorithm, and identifying the voice command (11), so as to form an identification instruction (21), and the interpreted identification instruction (21) forming a basic machine control command and/or a machine motion control command corresponding to the operation of multiple machining tasks of the industrial machinery; and an upper controller (3) for receiving the basic machine control command and/or a machine motion control command, and operating a system of a driver (44) of the industrial machinery by voice input.

A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

The present invention related to the technical field of industrial automation, in particular to a method and apparatus for generating a fault diagnosis database of a CNC machine tool, intended to conveniently provide comprehensive fault diagnosis information. The method comprises: setting a fault condition of the CNC machine tool; running a simulation model of the CNC machine tool under each set fault condition to generate fault, and recording a fault phenomenon of the fault; backtracking a possible fault generating each fault phenomenon, to establish an association between the fault phenomenon and a possible fault generating the fault phenomenon; generating a fault diagnosis database of the CNC machine tool according to the association established. Due to the fact that what is being run is a simulation model of the CNC machine tool, various fault conditions can be conveniently set. The fault diagnosis database established by the method has the advantage of comprehensive coverage of fault situations and abundant fault diagnosis information. The result of performing fault diagnosis on the basis of such a fault diagnosis database is more accurate.

A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

Disclosed herein is a mountable dental device for shaping a tooth of a subject. The device includes: (i) an anchoring member configured to be removably affixed to a jaw of a subject by securing thereof to one or more teeth of the subject, and (ii) a computerized numerical control (CNC) machine fixedly mounted or mountable on the anchoring member. The CNC machine is configured to have installed thereon and maneuver a dental turbine. When the anchoring member is affixed to the jaw, the device is supported by the subject. The anchoring member is adjustable such as to allow the affixing thereof to jaws of different subjects. The CNC machine is configured to control operation of the dental turbine in at least one dental tooth-shaping procedure on at least one tooth of the subject.

The disclosure discloses a system for acquiring an inherent energy efficiency factor function of a CNC machine tool, the system comprises an equipment information management module, a test parameter setting module, a NC code generation module, a field test management module, a data analysis module, a validity verification module and power sensors. The NC code generation module is used to generate the NC code to control the operation of the CNC machine tool to be tested according to the test parameters and information of the CNC machine tool to be tested. The field test management module is used to analyze the power data information of power sensors and generate the input power sets of CNC machine tool in each test operation process; The data analysis module is used to generate the inherent energy efficiency factor function according to the input power set.

Examples of the present disclosure provide a parameter optimization method, device and computer readable storage medium. The method includes: establishing a one-to-one functional relationship between each parameter and each performance index; determining each current correlation coefficient between the parameter and each performance index based on the one-to-one function relationships; obtaining a current weight of each performance index; according to current weights and current correlation coefficients, obtaining a current influence coefficient of each parameter on a comprehensive performance of the performance indexes; and determining important optimization parameters according to the current influence coefficient; for each two parameters, calculating a current correlation coefficient of the two parameters, and determining an adjustment parameter; and performing parameter optimization based on the important optimization parameters and the adjustment parameters. The technical solutions of the present disclosure can improve the parameter optimization efficiency.

A CNC machining device (1) comprises a control console (3) and a CNC machine (5). A training assembly (33) for training operation of the CNC machining device includes a training control console (35) substantially identical to the control console (3) of the CNC machining device (1); a digital twin (36) of the CNC machine (5), comprising a simulator (37) configured to simulate the effect of commands from the training control console (35) on the CNC machine (5); and a display device (39) configured for a trainee to view the current state of the simulator (37).