563 results about "Industrial machine" patented technology

The invention provides a method and system for obtaining optimal parameters of a machine tool based on an industrial mechanism AI data model, belongs to the technical field of industrial machine tool application, and solves the problems that an existing machine tool cannot obtain the optimal parameters in real time, autonomous intelligent control of the machine tool cannot be achieved and the like. Comprising the following steps: multi-dimensional high-frequency data fusion acquisition and monitoring; performing data synchronization and storage management; analyzing and mining data; mixing intelligent decision engines; constructing an industrial knowledge base and a model base; training an industrial knowledge base and a model base; intelligent decision making and optimization; equipment is automatically controlled; user visual interaction is carried out; carrying out on-line adaptive parameter optimization; continuously optimizing and iterating; and the production business system works cooperatively. According to the method, online self-adaptive parameter optimization can be realized, a closed-loop control system with rapid sensing, intelligent decision-making and accurate execution capabilities is constructed, the method develops in the direction of sensing-decision-execution full-link autonomous optimization, and finally autonomous intelligent control of the machine tool is realized.

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.

An industrial machine predictive maintenance system may include an industrial machine data analysis facility that generates streams of industrial machine health monitoring data by applying machine learning to data representative of conditions of portions of industrial machines received via a data collection network. The system may include an industrial machine predictive maintenance facility that produces industrial machine service recommendations responsive to the health monitoring data by applying machine fault detection and classification algorithms thereto. The system may perform a method of predicting a service event from vibration data captured data from at least one vibration sensor disposed to capture vibration of a portion of an industrial machine. A signal in a predictive maintenance circuit for executing a maintenance action on the portion of the industrial machine can be generated based on a severity unit calculated for the captured vibration.

The invention relates to the technical field of machine vision, in particular to a calibration method and device for an industrial machine vision measurement system, and the method comprises the following steps: collecting error data through a glass linear scale and a circular target, constructing a standardized calibration data set, obtaining a global error gradient field, a residual error trend map and a residual error weight coefficient table, and obtaining a standard calibration data set; and fusing the size compensation value and the directivity correction value, constructing a calibration matrix, and obtaining a system calibration result. According to the method, through fusion modeling of multi-source error data, the recognition precision of the system on error sources is improved, gradient field construction and trend graph extraction are combined, the directionality and spatial continuity of error compensation are enhanced, and a weight coefficient distribution mechanism is utilized, so that differential control on dynamic and static error influence is realized; and a calibration matrix with multi-dimensional parameter fusion is adopted to optimize the consistency and adaptability of the overall measurement precision, so that the system keeps stable error correction capability and calibration accuracy in a complex environment.

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.

A system includes an expert graphical user interface configured to: present a list of reliability measures of an industrial machine, facilitate a selection by a user of a reliability measure from the list of reliability measures, present a representation of a smart band data collection template associated with the reliability measure selected by the user, and a data routing and collection system configured to, in response to a user indication of acceptance of the smart band data collection template, collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

The invention belongs to the technical field of production and manufacturing, and discloses a heavy-load RGV which comprises a walking assembly and a walking frame, a material reversing assembly is rotatably and fixedly mounted at the top of the walking frame, and a material conveying assembly is fixedly mounted at the top of the material reversing assembly; and a material guiding and switching assembly is fixedly mounted at the top of the material conveying assembly. Compared with a traditional device, the device has the excellent characteristic of being self-adaptive to the material size; by means of the ingenious mechanical structure design, the carrying size can be flexibly and accurately changed according to the length, width and height of different materials, diversified carrying requirements can be easily met, small and exquisite electronic elements and large industrial machine parts can be stably carried and transported, and the problem that the factory material carrying variety is large is effectively solved.

According to the present invention, a thermal displacement correction device for an industrial machine comprises a model storage unit that stores a model of an industrial machine, a temperature data acquisition unit that acquires temperature data for the industrial machine, a thermal displacement amount calculation unit that calculates a thermal displacement amount for the industrial machine when a mobile unit of the industrial machine has moved to each of a plurality of predetermined calculation points on the basis of the model and the temperature data, a thermal displacement amount map calculation unit that calculates thermal displacement amount data for the industrial machine when the mobile unit has moved to an interpolation point that is different from the plurality of calculation points on the basis of the thermal displacement amount at each of the plurality of calculation points, and a correction value calculation unit that calculates a correction value for a command position for the mobile unit on the basis of the thermal displacement amount data.

The present invention makes it possible to inhibit the enlargement of a lubrication region in a speed reducer including a sealing member. The speed reducer includes a case, a carrier, main bearings, and a sealing member. The carrier is located at least partly inside the case. The main bearings are located between the case and the carrier. The sealing member includes a first ring, a second ring, and a first elastic ring. The first ring is annular and mounted to one of the case and the carrier. The second ring contacts an annular region of the first ring. The first elastic ring is compressed between the second ring and the other of the case and carrier. The sealing member is located at least partly in the same region as the main bearings in the radial direction perpendicular to the rotation axis of the carrier rotating relative to the case.

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).

Disclosed are lagging materials for use on a driven cylindrical pulley or drum for an industrial machine. A lagging material can comprise a seaming element along the cross-machine direction (CD) of each of the opposing ends of the lagging material for forming a seam for seaming opposing ends of a lagging material when brought together. A lagging material can also comprise coatings that increase the Coefficient of Friction of a lagging material when the lagging material is installed onto the drum such that no additional adhesive is required to keep the lagging on the drum circumference when in operation. Also described is an apparatus for installing an on machine seamable lagging including at least two opposed elongate members, such that when the elongate members are drawn together, the lagging material is stretched into a seamable position to be installed on the drum.

An apparatus to adjust tension in an endless belt of an industrial machine may include a conveyor assembly, a tension system, an image sensor, and a controller. The controller may be operable to receive a first image from the image sensor; determine a position of a first raised feature of an endless belt of the conveyor assembly relative to a first groove formed in the first roller of the conveyor assembly based on the first image and actuate an actuator of the tension system to alter the tension level in the endless belt in response to a determination that the first raised feature is at a location relative to the first groove outside of a selected range of locations to move the first raised feature to within the selected range of locations.

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.

Abnormal behavior detection for industrial machines component(s) using large language models based on sequence(s) of log file messages recorded by logger(s) at initial time(s). The log file message sequence may be transformed into an anomaly severity sequence comprising log tokens encoding, times, and / or associated anomaly severity levels. The anomaly severity sequence may be input into the large language model. The large language model may output an anomaly severity histogram predicting M probabilities that the logger(s) will record log file messages encoded by log keys associated with M respective anomaly severity levels at the subsequent time(s). Abnormal behavior may be predicted based on the M probability patterns of the anomaly severity histogram. in the one or more components of the industrial machine logged by the one or more loggers at the one or more subsequent times. A control command may trigger automatically altering the component(s) operation to prevent the abnormal behavior.

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 computer differentiates parameters to find critical parameters that cause abnormal operation of an industrial machine, where the computer receives and obtains multi-variate time-series that represents the operation of the machine or that serve as reference, the computer identifies a time-series that deviate from the reference at least in a segment, and for activity-specific replacement variations, the computer selects deviating segments within the series according to a particular replacement variation, replaces the deviating segments, and determines an error value, the computer then determines the variation for that the error value has its lowest value and provides the determination as an identification of the critical parameter to the operator of the machine.

1. Name of the Design Product: Electric Push Rod (Six). 2. Use of the Design Product: Used to push and pull various industrial machines or various industrial equipment in a linear reciprocating motion manner. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1. 5. Other Situations Requiring Explanation: Other Explanation: The reference drawing is a schematic diagram of the electric push rod of this design with a transmission line provided at the neck.

The present invention generates, with a minimum effort by a worker, a question sentence to be inputted to a generative AI device and acquires an NC program which realizes a desired operation of an industrial machine.　This program creation assistance device assists in creating a numerical control program which causes an industrial machine to operate. The program creation assistance device comprises: a machine information acquisition unit which acquires machine information regarding the industrial machine; a question sentence generation unit which acquires operation information regarding desired operation contents of the industrial machine, and generates a question sentence for a generative AI device by combining the operation information with the machine information acquired by the machine information acquisition unit; a transmission unit which transmits, to the generative AI device, the question sentence generated by the question sentence generation unit; a reception unit which receives a first response result from the generative AI device; and a presentation unit which presents the first response result.

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 system and method for data collection of health state indicator associated with at least one industrial machine of the group of industrial machines, and determining a schedule of a service event of a service list for the group of industrial machines, wherein the service event is associated with the at least one industrial machine.

A method includes a twin model management system presenting a video stream captured by a robot in an industrial facility, the video stream presented in a digital twin (DT) of the industrial facility to a user, receiving a user request to select an input device of an industrial machine, the user request provided by the user via the DT when the industrial machine is depicted in the video stream, providing, in the DT responsive to the user request, a list of input devices indicating input device(s) of the industrial machine that are depicted in a video image of the video stream, receiving a user selection provided via the DT that specifies a target input device in the list, generating, responsive to the user selection, control command(s) specifying operation(s) to be performed by the robot to physically interact with the target input device, and transmitting the control command(s) to the robot.

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.