738 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 discloses an industrial machine vision recognition and analysis system, relates to the technical field of machine vision recognition, and is used to solve the problem of poor industrial machine vision recognition. The invention combines total variation denoising, contrast-limited adaptive histogram equalization, random geometric transformation and other technologies to enhance image diversity, improve the system's generalization ability for images in different environments, extract image texture and edge features, provide high-quality data for subsequent analysis, use unsupervised learning to extract image potential features and patterns, and locate abnormal areas through template matching, so as to adaptively discover defects in the production process, dynamically update the model based on a small amount of labeled data, optimize feature representation in real time, and adapt to environmental changes. Finally, semi-supervised learning and pseudo-label generation technology are used to expand the training set, improve the generalization ability of the model, maintain efficient learning when labeled data is limited, reduce manual labeling costs, and improve the accuracy of automated quality inspection.

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 multi-sequence transformer predict N tokens, in parallel, for log files in industrial machines. Token patterns derived from N log file token sequences logged by N respective loggers may be input into N respective intra sequence multi-head self-attention layers identifying patterns among tokens within the same log file token sequence generated by the same logger. Token patterns derived from a combination of the N log file token sequences may be input into a same inter sequence multi-head self-attention layer identifying patterns among tokens across multiple different sequences generated by multiple different loggers. N softmax layers may be generated of N distinct probability distributions that each candidate tokens is a next token in each of the N respective log file token sequences. A plurality of N next tokens may be predicted, in parallel, to co-occur in the plurality of N respective sequences of log file tokens.

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.

Liquefied natural gas brings energy overriding and environmental disruption. However, the liquefied natural gas is a liquid dielectric medium, can be easily liquefied by pressurizing at room temperature, can be expanded by more than 250 times in volume during gasification, and is relatively high in dielectric constant and relatively low in voltage resistance. As a capacitor, such a liquid dielectric is considered; the energy of the liquid dielectric capacitor is consumed inside the capacitor for an engine, welding or buoyancy gas generation, or is consumed outside the capacitor for use as an on-board capacitor for a vehicle. [Solution] A liquid dielectric capacitor is considered as a dielectric breakdown induced igniter that can replace a conventional spark plug. In order to utilize the principle of such an igniter as an energy source for an engine, a welding device or a buoyancy bag for lifting a subsea resource, an electrical charge is applied to the liquid dielectric thin layer, and then the thickness of the liquid dielectric thin layer is made close to zero to cause dielectric breakdown, or the thickness of the liquid dielectric thin layer is increased to cause breakdown of the liquid dielectric thin layer. A high voltage source is established for a vehicle-mounted capacitor of the vehicle. Therefore, a world without environmental damage is realized.

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.

The present invention reproduces the state of a real device more accurately by using operation state data indicating the behavior of the real device. This industrial machine control system comprises: a real device comprising a control device for controlling an industrial machine; and a digital device for simulating the real device by software. The digital device comprises an input unit that inputs operation state data acquired by the real device to the digital device, and simulates the real device by the digital device using the operation state data input by the input unit.

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 relates to the technical field of machine tools, in particular to an industrial machine tool guide rail which comprises a base, a rotating rod is rotationally arranged on the base, a driving motor is arranged at one end of the rotating rod, and the rotating rod is provided with a threaded part and a rack part; a sliding block structure is arranged on the rotating rod in a sliding mode, the sliding block structure comprises a left sliding block and a right sliding block, the sliding block structure further comprises a switching assembly, and rotating teeth are arranged on the switching assembly; the switching assembly has a first working state and a second working state, when the switching assembly is in the first working state, the left sliding block and the right sliding block are oppositely combined to form a threaded hole, the threaded hole can be matched with the threaded part, and threaded transmission of the sliding block structure and the rotating rod is achieved; and when the switching assembly is in a second working state, the left sliding block and the right sliding block move in opposite directions, so that the threaded hole is separated from the threaded part, meanwhile, the rotating teeth can move to the position engaged with the rack part, and gear transmission of the sliding block structure and the rotating rod is achieved.

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.

To provide the hydraulic pressure actuating oil composition that has excellent wear resistance and sludge generation suppressing effect even when used under a high pressure condition, and has also excellent brake performance and clutch performance.SOLUTION: The hydraulic oil composition comprises a base oil (A), an antioxidant (B) containing an amine antioxidant (B1) and a phenolic antioxidant (B2), and a succinimide compound (C), wherein the hydraulic oil composition satisfies a following requirement (I) and is used for hydraulic equipment having an operating pressure of 30 MPa or more, and the hydraulic equipment has at least one of a wet brake and a wet clutch, and is selected from construction machines, general industrial machines, and generators. The requirement (I) is a coefficient of static friction (μs) after 1000 cycles of 0.100 to 0.162 which is measured according to a test of No. 2 of SAE described in JCMAS P.047: 2004.SELECTED DRAWING: None

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 removable camera mounting system for a mobile industrial machine is disclosed. The removable camera mounting system includes a camera housing having a plurality of walls. A camera unit is mounted within the camera housing. A light unit is also mounted within the camera housing. An exterior of one of the plurality of walls of the camera housing includes one or more magnets.