445 results about "Industrial machine" patented technology

The invention relates to the technical field of industrial machine vision detection and image processing, in particular to an automobile part production mold surface smoothness detection system based on image enhancement, which comprises a data acquisition module used for acquiring an original grayscale image of the surface of an automobile part mold; performing low-pass filtering processing on the original grayscale image to eliminate imaging thermal noise; the manifold reconstruction module is used for constructing a structure tensor field; reversely deducing a pseudo-curvature field of the mold surface; the adaptive enhancement module is used for generating a corrected image; constructing a texture orthotropic diffusion model; generating a texture reconstruction reference image; the surface metering module is used for calculating the difference between the corrected image and the texture reconstruction reference image and generating a defect saliency image; calculating the surface roughness value of the mold surface; according to the method, the problem that design textures and abnormal scratches are difficult to distinguish in the prior art is effectively solved, and the technical bottleneck that micro defects are easily missed in a complex geometric structure in traditional visual detection is overcome.

The invention discloses a mold defect visual inspection method, particularly relates to the technical field of industrial machine visual inspection, and is used for solving the technical problem of image spatial variation blurring caused by mechanical vibration under a mobile shooting condition. The method comprises the following steps: acquiring a to-be-detected image on the surface of a mold, analyzing the gradient magnitude of each region, determining the fuzzy characteristics of different regions in the to-be-detected image according to the difference of the gradient magnitudes, evaluating the expected confidence of each region for executing the deblurring operation based on the fuzzy characteristics, and executing the deblurring operation on the regions to obtain a preliminary restored image; an artifact index is calculated in the uniform background area of the preliminary restored image, the distribution concentration degree of image components in each local feature area in the frequency domain is analyzed in the preliminary restored image, and the distribution concentration degree is compared with a preset defect judgment threshold value adjusted according to the artifact index; judging whether the corresponding local feature region is a defect region or not; accurate recognition of mold surface defects under complex imaging conditions is realized.

Systems and methods are disclosed herein for identifying and predicting maintenance events with respect to assets, such as mobile machinery. A computing platform can include control circuit(s) (on-board and / or remote) configured to acquire machine fault data and machine utilization data. A feature set can be generated by transforming the machine fault data (e.g., by fusing the machine fault data with machine utilization data), normalizing the data, generating embeddings, and / or executing imputation algorithms to fill in missing values. A classifier model can be trained using the transformed machine fault data in conjunction with labeled maintenance event data to enable the trained classifier model to learn to recognize utilization-specific fault code patterns. The trained classifier model can generate inferences and predictions regarding machinery maintenance events without the use of maintenance data.

The present invention includes: a stator core (21) having a slot (21a); a bobbin (22) fitted in the slot (21a) and having a through hole (22c) penetrating in an axial direction of the stator core (21); a coil (23) inserted in the through hole (22c); a plurality of protrusions (22e) that protrude from at least one of an inner periphery of the through hole (22c) and an outer periphery of the coil (23), and guide the position of the coil (23) in the through hole (22c); and a resin filled on the periphery of the coil (23) in the through hole (22c).

A method for monitoring, diagnosing and predicting the health of an industrial machine having a rotating component and a sensor coupled to the industrial machine. The method containing the steps of receiving, from the at least one sensor, machine health data corresponding to a current operating condition of the industrial machine; generating, using a machine health module, a machine health status corresponding to the current operating condition of the industrial machine based on the machine health data; and communicating, to an electronic device, a representation of the machine health status. Also disclosed is a method for monitoring a plurality industrial machines having a rotating component; a non-transitory memory containing instructions and statements which, when executed by a processor, cause the processor to perform the method disclosed herein, a system for monitoring an industrial machine having a rotating component and a device to perform the method disclosed herein.

The invention provides an industrial machine platform production material cloud synchronization method and system, and the method comprises the steps: firstly collecting a local production material set in a current production period of an industrial machine platform, obtaining a generation timestamp and an associated process identifier of each material unit, combing the relevance through a local processing module, and generating a structured production material unit; the structured production data unit is sent to a cloud coordination node, historical production data version sequences are called and compared, data version evolution characteristics are generated, and a dynamic synchronous execution scheme is determined based on the data version evolution characteristics and network transmission state parameters; and finally, transmitting the structured production data unit to a cloud storage system for incremental updating according to the dynamic synchronous execution scheme, generating a synchronization result, and feeding back the synchronization result to the industrial machine, thereby realizing real-time and efficient cloud synchronization of the production data of the industrial machine.

A numerical control system 1 is provided with: a numerical control device 5 including a machine tool control module 50; a robot controller 6 including a robot control module 60 for controlling the movement of a robot 3; and a variable storage unit 58 for storing the values of a plurality of variables that can be read and written by both modules 50, 60. The machine tool control module 50 reads the value of a second variable stored in a second storage area 582 of the variable storage unit 58, controls the movement of a machine tool 2 on the basis of the value that has been read, and rewrites the value of a first variable stored in a first storage area 581, and the robot control module 60 reads the value of the first variable, controls the movement of the robot 3 on the basis of the value of the first variable that has been read, and rewrites the value of the second variable.

The utility model relates to the field of industrial machinery, and particularly discloses a truss manipulator which comprises a truss, an X-axis moving frame and a Y-axis moving frame, the Y-axis moving frame is arranged on the truss, the X-axis moving frame is arranged on the Y-axis moving frame, a lifting arm and a first driving motor for lifting the lifting arm are arranged on the X-axis moving frame, and the first driving motor is arranged on the Y-axis moving frame. A clamping mechanism is arranged at the end, away from the X-axis moving frame, of the lifting arm. The X-axis moving frame and the Y-axis moving frame move the clamping mechanism to the position above a carried workpiece, the first driving motor is started to drive the lifting arm to descend, the clamping mechanism clamps the workpiece, and then the first driving motor is started to drive the lifting arm to ascend; and after ascending is stopped, the workpiece is moved to a designated position through the X-axis moving frame and the Y-axis moving frame, after moving is completed, the first driving motor drives the lifting arm to descend, the workpiece is placed at a proper position, and therefore full-automatic carrying of the workpiece is achieved.

A parameter adjustment device comprises a coordinate data acquisition unit that acquires coordinate data of an industrial machine; a parameter generation unit that generates an operation parameter; a parameter storage unit that stores the operation parameter; a state data acquisition unit that acquires state data of the industrial machine; an index data calculation unit that calculates index data based on the state data; a sample storage unit that stores sample data in which the operation parameter is associated with the index data; a parameter search unit that uses the sample data to search for an operation parameter estimated to be appropriate; and a model training unit that uses training data in which an operation parameter estimated to be appropriate is associated with the coordinate data to generate a trained model for estimating an appropriate parameter from the coordinate data.

The invention provides a workpiece double-sided defect identification method and equipment based on multi-view visual inspection, and relates to the technical field of industrial machine vision, after a workpiece is migrated to a transparent detection table, a light source is driven to be dynamically switched according to a light source time sequence, and a multi-angle image sequence is synchronously captured; and segmenting an image sequence by taking a double-sided area of the workpiece as a constraint, generating an array type multi-angle segmentation sub-image of a light source parameter index, and then outputting a double-sided defect panoramic distribution thermodynamic diagram through defect identification. The technical problems that in the prior art, due to the fact that workpiece overturning detection efficiency is low, synchronous imaging of double-face defects is difficult, and the defects are obviously interfered by ambient light, the defects lack space quantification basis, the false detection rate is high, and sorting decision is interfered are solved. The technical effects of sub-millimeter spatial positioning precision, multi-dimensional risk quantitative mapping and full-process automatic sorting decision closed loop of double-sided defects of the workpiece are achieved, and the reliability and processing efficiency of industrial quality inspection are remarkably improved.

A safety switch for controlling the access to industrial machines or plants comprises a switching device (2) housing switching means and an actuator device (3) having an operating pin (8) to interact with the switching means upon the opening / closing of the access, a locking / unlocking mechanism (14) housed in the switching device (2) and provided with a locking pin (15) movable between a locking position and an unlocking position of the access, an operating pin (8) associated with the actuator device (3) to interact with the locking pin (15) to hold the actuator device (3) fastened to said switching device (2), which, in turn, houses a locking element with controlled deformation, mechanically connected to the locking pin (15) and sized to deform plastically upon the application on the locking pin (15) of a deformation stress higher than a predetermined threshold value.

A numerical control system 1 is provided with a numerical control device 5 and a robot control device 6 The numerical control device 5 is provided with: a robot command generating unit 55 which generates a robot command for each robot command block; a robot program launch command unit 56; and a data transmitting and receiving unit 59 which transmits to the robot control device 6, in advance as a batch, a plurality of robot commands generated on the basis of a plurality of robot command blocks, as a robot command group, and then transmits a program launch command to the robot control device 6. The robot control device 6 is provided with: a robot program generating unit 61 which generates a robot program on the basis of the robot commands; and an operation control unit 65 which, after a robot program based on the robot command group has been generated, operates the robot program upon receipt of the program launch command.

The invention discloses an industrial mechanical clamping jaw, and relates to the technical field of mechanical clamping jaws, the industrial mechanical clamping jaw comprises mounting plates, one end between the mounting plates is connected with a first hinge rod through a driving assembly, the front and rear ends of the mounting plates are both provided with second hinge rods, and the first hinge rod is connected with the second hinge rods; a clamping box is mounted at the lower end of one end between the second hinge rods; a clamping mechanism used for limiting the special-shaped workpiece is arranged on the inner side of the clamping box, and adjusting mechanisms used for adjusting the height of the clamping mechanism are arranged at the front end and the rear end of the clamping box. According to the industrial mechanical clamping jaw, the upper end of the clamping box can be matched with a workpiece, the workpiece is clamped, when the special-shaped workpiece needs to be clamped, a positioning hole is reserved in the surface of the special-shaped workpiece, and a limiting block on the outer side of a gear ring is clamped into the positioning hole to limit the position of the special-shaped workpiece; and then the special-shaped workpiece is clamped through the upper end of the clamping box.

The present invention provides a servo motor control device that can set an offset more easily and with higher precision than before. The servo motor control device is used to control a servo motor of an industrial machine, and comprises: a position detection unit (2) that detects the position of the servo motor; a magnetic pole detection unit (3) that detects the magnetic pole phase of the servo motor; and a phase calculation unit (4) that calculates a calculated phase based on the position data of the servo motor and the magnetic pole spacing information of the servo motor, and obtains an offset relationship between the magnetic pole phase obtained by the magnetic pole detection unit (3) and the calculated phase obtained by the phase calculation unit (4) after passing through a reference position.

In the present invention, a CPU operation parameter is selected on the basis of the control state for an industrial machine or the rate of use of a CPU when the industrial machine was previously operated, whereby electric power consumption in the CPU is reduced.　In the present invention, a numerical control device comprises: a control state acquisition unit that acquires the control state for an industrial machine; a CPU usage estimation unit that estimates the CPU usage for a CPU on the basis of the control state acquired by the control state acquisition unit; and a CPU operation parameter designation unit that designates a CPU operation parameter for the CPU on the basis of an estimation result obtained via the CPU usage estimation unit.

Industrial machines can include internal or associated sensors, which can output one or more operational parameters of the industrial machine. Sensors can use a variety of communication protocols to output the machine data. A configurable, multi-protocol (CMP) device can include hardware and software functionality to interface with and communicate with a variety of sensors and their communication protocols. The CMP device can include a microcontroller, an interface selector, a connector with pinout, having connections. The microcontroller can include a variety of interfaces each dedicated to a communication protocol. The connections of the pinout can include channels. The interface selector can use a combination of relay positions to establish an electrical pathway between an interface of the microcontroller and one or more channels in the pinout.

This invention discloses a real-time attitude estimation system for non-cooperative industrial targets based on strong tracking filtering, relating to the fields of industrial machine vision and automation control technology. This system decouples the complete six-degree-of-freedom attitude estimation problem into a linear translational sub-state space and a nonlinear rotational sub-state space. This decomposes the nonlinear calculations that would normally be performed in six dimensions into a three-dimensional linear problem and a three-dimensional nonlinear problem. The translational sub-state only performs a simplified Kalman gain iteration with closed-form solutions, and matrix operations are simplified to low-order linear recursion. Although the rotational sub-state uses strong tracking filtering, it only needs to perform nonlinear updates in the reduced low-dimensional space. The Jacobian matrix sparsification pre-computation and incremental update unit pre-stores the constant part of the observation equation's derivative calculation offline and only incrementally updates the sparsely changing part online. This allows the system to be fully deployed on ARM architecture edge devices and stably meet millisecond-level processing requirements.

The present invention performs simulation for a case where a plurality of degrees are set for feedforward, and provides assistance in adjustment of an acceleration / deceleration time constant and a feedforward parameter. The present invention is provided with: a mechanical model creation unit that creates mechanical models of a motor and a mechanism portion of a machine tool, a robot, or an industrial machine; a simulation unit that includes the mechanical models and a feedforward processing section and that is for performing simulation of operation of a servo control device for controlling the motor; and an adjustment unit that adjusts an acceleration / deceleration time constant for generating a position command, and a parameter of the feedforward processing section. The adjustment unit adjusts a plurality the acceleration / deceleration time constants and parameters corresponding to when a plurality of degrees has been set for the feedforward processing section.

Servo control (10) for controlling an electric motor that drives an axis of an industrial machine, the servo control comprising: a state value derivation unit (11) that derives chronological or event-dependent data of a state value of the electric motor or of a driven element operated by the electric motor from an operation program and / or operation plan information of the industrial machine; and a parameter change unit (12) that changes at least one parameter of a velocity gain, a position gain, a feedforward gain, a filter frequency and an acceleration / deceleration time constant after interpolation based on the data derived in the state value derivation unit (11) either chronologically or event-dependently.

This invention discloses a closed-loop compensation method and system for the entire lifecycle accuracy of high-end industrial machine tools, belonging to the field of high-end CNC machine tools and industrial machine tools technology. This system constructs a complete system encompassing machine tool accuracy forward design, full-dimensional error modeling, online real-time detection, closed-loop dynamic compensation, and lifecycle accuracy maintenance. It can achieve a positioning accuracy of ≤0.0005mm and a repeatability of ≤0.0003mm under rated load for domestically produced machine tools, stably achieving IT4 level machining accuracy, with accuracy retention improved by 3 times compared to conventional domestically produced machine tools. This invention breaks through the core bottleneck of low accuracy upper limit, poor accuracy retention, and long-term reliance on imported CNC systems in domestically produced high-end machine tools. It is fully compatible with domestically produced machine tools and CNC systems, 100% independently controllable, and can be widely applied in scenarios such as army-specific five-axis CNC machine tools and artillery / ammunition precision machining centers.

Techniques are disclosed herein for machine-learning (ML)-assisted event prediction for industrial machines (106). A first set of embeddings (1986a) can be generated based on labeled first event data, which can be labeled with classifiers (1989b) determined based on signaling channel (110b) information for the first event data. A neural network (300) can be trained, using the classifiers (1989b), to generate (i) a similarity score for the first set of embeddings and the second set of embeddings and (ii) a classifier (1989b) recommendation for the second set of embeddings. The second set of embeddings can be generated based on data collected using condition monitoring sensors (104a) for a particular industrial machine. Accordingly, the system (200) can generate alerts, recommendations, and / or notifications based on the automatically classified data encoded in the second set of embeddings.

A method of adaptive inspection includes receiving data characterizing one or more images of an inspection region of an industrial machine acquired by an inspection system operating based on a first set of operating parameters. The inspection region includes a site feature. The method also includes determining, by an analytical model, one or more characteristics of the inspection region from the received data characterizing the one or more images of the inspection region. The method further includes generating a control signal based on the one or more characteristics of the inspection region and / or a user input. The inspection system is configured to perform a new inspection of the inspection region based on the control signal.

Provided is a control device and program capable of easily outputting the state of mechanical loss in an induction motor. A control device that controls an industrial machine having an induction motor includes: a power cutoff section that cuts off power supply to the induction motor; a speed acquisition section that acquires the rotational speed of the induction motor; an acceleration calculation section that calculates acceleration based on the acquired rotational speed; a moment of inertia acquisition section that acquires the moment of inertia of the main shaft of the induction motor; a mechanical loss calculation section that calculates the mechanical loss of the induction motor based on the acquired rotational speed, the calculated acceleration, and the acquired moment of inertia; and an output section that outputs the calculated mechanical loss.

The present invention automatically changes an industrial machine or the operation range of the industrial machine when, for example, the type of workpiece or an operator is changed.　This control device comprises: an identification information reading device that reads identification information stored in a storage medium; and a control unit that sets an industrial machine or the operation range of the industrial machine on the basis of the read identification information. The operation range of the industrial machine may be the operation range of a simulation device for simulating an operation of the industrial machine. The control device may include a display unit for displaying the set industrial machine or the set operation range of the industrial machine. The storage medium may be, for example, an ID card or tag. The identification information may be at least one of the operator or the type of industrial machine that is recorded in an ID card, the type of tool recorded in a tag attached to the tool, and the type of workpiece recorded in a tag attached to the workpiece.

A communication system of an industrial machine includes an in-vehicle network, an information communication network, and a communication device of an information collecting unit. The in-vehicle network N1 performs data communication in a plurality of electronic devices 7 mounted on the industrial machine (backhoe 1). The information communication network is an external network of the backhoe and is a network different from the in-vehicle network. The communication device connects the in-vehicle network to the information communication network. The communication device 30C transmits the in-vehicle data D when data communication is performed by the plurality of electronic devices 7 in the in-vehicle network N1 to the information communication network N. As a result, the in-vehicle data configured via the in-vehicle network in the backhoe can be transmitted without any change to the information communication network outside the backhoe.

A maintenance work assistance system (1) comprises: a basic event inference engine (20) that infers, in accordance with a pre-created causal model, a basic event (42) that will cause a failure in an industrial machine (2) and the probability of occurrence thereof; a confirmation task presentation engine (21) that, in accordance with a pre-created processing model, presents a confirmation task for confirming whether or not the basic event (42) is occurring; a history information extraction engine (22) that extracts, from a history management database (31), a history of environment-related information related to the operating environment of the industrial machine (2) serving as a target of the confirmation task, and a history of maintenance work records; and a basic event identification engine (23) that, in accordance with the pre-created processing model, identifies the basic event (42) for which there is a causal relationship therebetween with a top event (40) or an intermediate event (41).

The screen creation support device displays an operation screen of a control device for controlling an industrial machine on the basis of a screen structure of the operation screen and attributes of components of the operation screen. From attributes of components on an operation screen, a trigger, an operation caused by the trigger, and an operation target component affected by the operation are detected, help information is created which associates a display state of the control device, an operation state of the industrial machine, whether or not the trigger can be executed, the operation, and the operation target component, and the help information is referred to. In the currently displayed operation screen, the operation content to be triggered is displayed so as to overlap with the action target member in the operation screen.

The control unit 10 receives data from several sensors 12 connected to a reference machine 14 and stores the data in a memory 16. The control unit 10 also receives new data from at least one sensor 15 connected to the industrial machine 18 in an operating mode and compares the received new data with the stored data to generate synthetic data relating to the industrial machine 18 based on the comparison and a scaling factor. Using the disclosed methodology, a novel, deployable algorithm for generating erroneous data in industrial environments can be developed. The control unit 10 develops an intelligent learning model (similar to a machine learning model) and uses it to make predictions about the industrial machine 18 in a short time based on a customer's plant data.

An industrial machine (100) is provided with: a first member (21) provided with a mounting surface (21s) disposed at an angle with respect to the horizontal; and a second member (22) having a mounted surface capable of being in close contact with the mounting surface (21s), the first member (21) or the second member (22) being provided with at least one support protrusion (21p) that supports the second member (22) so that the second member (22) does not fall off by bringing the second member (22) into contact with the first member (21) from above at a first position where the mounting surface (21s) is in close contact with the mounted surface, and the support protrusion (21p) being in close contact with the mounting surface (21s) at a second position where the mounting surface (21s) is in close contact with the mounted surface. The first member (21) and the second member (22) can be fixed to each other at a first position or at a second position at which the surface to be mounted is shifted along the mounting surface (21s) while the support state by the support projection (21p) is maintained.

A user assistance device according to the present disclosure comprises: an inquiry content acquisition unit that acquires an inquiry pertaining to an industrial machine from a user; an answer source search unit that, on the basis of the content of the inquiry, searches for one or more answer sources from an answer source storage unit that stores information serving as a source of an answer to the inquiry; a prompt creation unit that, on the basis of the inquiry content and the result of search of the answer source, creates a prompt that can be inputted to an interactive response device; a transmission unit that transmits the prompt to the interactive response device; a reception unit that receives a response from the interactive response device; an output unit that outputs a first answer to the inquiry included in the response; an inquiry destination selection unit that selects an inquiry destination on the basis of the designation of switching of the inquiry destination, and outputs the content of the inquiry to the selected inquiry destination; an answer acquisition unit that acquires a second answer from the selected inquiry destination; and an exemplary answer storage unit that stores exemplary answer data in which the content of the inquiry is associated with the content of the second answer inputted by an operator.