117 results about "Manufacturing operations" patented technology

The invention discloses an intelligent manufacturing system and method based on an industrial robot, and relates to the technical field of industrial robot control, and the method comprises the steps: constructing a workpiece posture-space structure topological graph according to a cross-scale visual recognition result, carrying out the space comparison with an original trajectory planning graph, outputting a space deviation mapping relation, and carrying out the calculation of a spatial deviation mapping relation; performing spatial correlation analysis and path reachability evaluation on the workpiece attitude-spatial structure topological graph by using a graph neural network to obtain an end execution path instruction; driving the industrial robot to perform intelligent manufacturing operation through the tail end execution path instruction, and obtaining an actual operation result image; and performing feature alignment and difference comparison processing on the actual operation result image and the process reference image to obtain an operation deviation feature mapping relation, performing operation quality evaluation, and outputting an operation result visual detection label. According to the method, the adaptability and the manufacturing precision of the operation path of the industrial robot are effectively improved.

A system that uses autonomous robots for 3D manufacturing an object where the robots have different tool heads for performing different manufacturing operations.

A system for achieving high-definition pressure control of manufacturing operations utilizes data from one or more primary sensors, each of which is associated with a relatively high degree of accuracy based on the primary sensor's proximity to material involved in the manufacturing operation, as well as data from one or more secondary sensors, each of which is located more remote from the material involved in the manufacturing operation than the primary sensors. Data from the one or more primary sensors is evaluated to detect errors or trends indicative of primary sensor failure. Suspect or compromised primary sensor data is then disregarded or filtered, using data from the secondary sensors, historical data, or some combination thereof.

The invention provides a digital production management system and a method thereof. The digital production management system comprises a manufacturing operation management subsystem and a plurality of user mobile terminals, the manufacturing operation management subsystem comprises a plan management module which is used for managing production orders and delivery notices; the production management module is used for managing the work order and managing production data uploaded by the user mobile terminal in the production process; the production configuration management module is used for managing and configuring production basic data; the quality management module is used for setting and managing quality inspection standards, managing the quality process of the work order and managing quality data uploaded by the user mobile terminal in the production process; the warehouse management module is used for managing a delivery plan, a receiving notice and a return notice, and managing warehouse data uploaded by the user mobile terminal in the production process; and the user mobile terminal is used for inputting production data, quality data and warehouse data and feeding back the production data, the quality data and the warehouse data to the manufacturing operation management subsystem and / or the ERP system.

Systems and methods of material processing are disclosed. A computer operated device includes at least one tool operable to perform at least one operation within a working area, a scanner to obtain scan data corresponding to at least a portion of the working area, and a processor. The processor configures scan-specific controls for scanning the working area, operates the scanner to obtain the scan data, generates a digital model of materials within the working area, configures setup parameters for a tool, generates at least one tool path to perform the at least one operation within the working area based on the digital model, operates the computer operated device to perform the operation according to the tool path, operates the scanner to obtain scan data of modified materials within the working area, and verifies the at least one manufacturing operation based on the scan data of the modified materials.

Disclosed is a modular manufacturing system comprising: at least one module that is transportable for at least deploying at a given site; wherein the at least one of the module includes a tool arrangement configured to perform manufacturing operations on one or more component parts; wherein the at least one module includes a data processing arrangement configured to control operation of the tool arrangement; wherein the tool arrangement is configured to perform the manufacturing operations that include at least one of: (i) quality assessing on the one or more component parts; (ii) performing metrology; (iii) performing at least one of MIG, TIG, ARC, or laser welding or laser or plasma cutting on the one or more component parts; and (iv) performing at least one of: milling, grinding, bending, polishing, painting, plating, coating, drilling, on the one or more component parts.

Systems, methods, devices and software for operating particle sampling devices in a user-restrictive manner include a tag and a particle sampling device. The device includes a tag reader and a processor in communication with the tag reader. The processor: receives device configuration data and reads operational and / or user data from the tag having that data encoded thereon. Based on the data read from the tag, the processor may either grant or deny access to a user for performing device operations. Alternatively, for a headless particle sampling device configured for minimal user interaction during operation, the device is removably attached to a supporting structure proximate the tag positioned in or on the supporting structure. In the headless configuration, the processor reads device configuration parameters including network communication information from the tag following device power up. Embodiments of the disclosure facilitate various efficiency improvements for manufacturing operations reliant on particle sampling devices.

A method and system for automatically monitoring operations of a production line as a function of a takt time, includes:a) receiving or acquiring a takt time for production of a product by the production line;b) receiving or acquiring a set of successive operations to be performed on the product by equipment of the production line, each operation being distinguished by a duration defined as a function of the takt time;c) acquiring in real time from the equipment of the production line a temporal progression or evolution of each successive operation;e) automatically determining from the temporal progression or evolution a predicted end of one or each of the successive operations;f) automatically determining whether at least one predicted end exceeds an expected end of the operation; andg) in the affirmative, automatically triggering or activating a measure keeping the production rate equal to the takt time.

The invention relates to the technical field of interface integration development, and discloses a heterogeneous system interface integration method and device oriented to a manufacturing operation management system, and the method comprises the steps: converting original data based on an original communication protocol in a heterogeneous system into JSON format standard data based on a standard communication protocol based on a protocol converter, constructing a matching relationship between a heterogeneous system data structure in an XML form and a data structure of an MOM system business object; and sending the JSON format standard data and the data structure matching relationship to the MOM system through a standard communication protocol, so that the MOM system performs data processing and conversion on the JSON format standard data according to the data structure matching relationship in combination with a WebApi mode to obtain target data required by the MOM system. According to the method, the data integration complexity of the MOM system is effectively reduced, the repeated development work is reduced, the development efficiency and the data quality are improved, and the operation efficiency and the integration effect of the MOM system are guaranteed.

The invention relates to the technical field of manufacturing operation management, in particular to an MOM-based warehouse ex-warehouse strategy engine system, which comprises an MOM data integration module, an ex-warehouse strategy module, a strategy simulation and evaluation module, a strategy optimization adjustment module and an execution and monitoring module, the MOM data integration module collects and synchronizes production order information in real time, obtains inventory data, integrates quality detection data and is used for judging whether the cargoes meet warehouse-out conditions or not; the ex-warehouse strategy module is provided with various intelligent ex-warehouse strategy units and comprises an ex-warehouse strategy unit driven based on production requirements, a shelf life priority ex-warehouse strategy unit, an inventory cost optimization ex-warehouse strategy unit and an order priority and logistics distribution collaborative ex-warehouse strategy unit; the intelligent strategy engine is used for optimizing the warehouse-out process.

The embodiment of the invention provides a manufacturing industry operation performance indicator management system, and relates to the technical field of performance management. The system comprises a data source management module which is used for managing data sources required by indexes and fusing collected data and KPI indexes; the KPI definition management module is used for performing addition, deletion, modification and checking on the KPI, configuring attribute information and establishing a logic association relationship with the business operation model; the manufacturing industry operation model management module is used for constructing business operation models and associating the operation resource information with the business operation models; and the KPI management module is used for calculating the credibility of the KPI and monitoring and processing the data missing condition and the data conflict condition. According to the embodiment of the invention, the corresponding business operation model is constructed in combination with the enterprise characteristics, the applicability of the performance indicators is ensured, and meanwhile, the efficiency and quality of data acquisition are ensured through data source management, so that the efficiency and accuracy of operation performance management are effectively improved.

A system for achieving high-definition pressure control of manufacturing operations utilizes data from one or more primary sensors, each of which is associated with a relatively high degree of accuracy based on the primary sensor's proximity to material involved in the manufacturing operation, as well as data from one or more secondary sensors, each of which is located more remote from the material involved in the manufacturing operation than the primary sensors. Data from the one or more primary sensors is evaluated to detect errors or trends indicative of primary sensor failure. Suspect or compromised primary sensor data is then disregarded or filtered, using data from the secondary sensors, historical data, or some combination thereof.

This invention teaches a multi-sensor quality inference system for additive manufacturing. This invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the Additive Manufacturing process. This invention further teaches experimental observations of the Additive Manufacturing process made only in a Lagrangian frame of reference. This invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.

The invention discloses a digital factory-oriented multi-target production plan optimization method and system, and the method comprises the steps: collecting production related parameters through an Apriso manufacturing operation management platform, building a database, calling a Weibull distribution equipment maintenance model to calculate the equipment maintenance priority, building a multi-target random opportunity constraint planning model based on the priority, and carrying out the optimization of a multi-target production plan. A multi-agent cooperation algorithm based on the game theory is introduced to obtain a preliminary production plan, and a final scheme is determined and issued after platform simulation operation evaluation; the system comprises six units. According to the method and the system, multi-model deep collaboration and platform efficient interaction are realized, multiple targets of production efficiency, cost and energy consumption are considered, parameter accuracy and plan feasibility are improved, a dynamic multi-constraint environment of a digital factory is adapted, and plan optimization requirements of a complex production scene are met.

A method enhances the debugging capability for a software program being executed on a resource of an industrial environment that is controlled by a manufacturing operation management system that enables a faster and easier debugging and interpretation functionality on software incidents occurring during the execution of the business logic. The method includes the steps of: a) source-coding a number of software routines to achieve under execution of the software routine a logical result; b) adding to each software routine a code section indicative for the achievement of the logical result wherein the code section generates a retrievable output in response to the execution of the software routine; c) controlling the resource to execute the number of software routines; and d) running an analysis tool enabled to provide the retrievable outputs deducted from the execution of the number of software routines in a separate analysis report.

A collaborative robot cutting system for the assembly, construction, fabrication, and / or the completion of structural components for manufactured assemblies. A method of preparing work pieces and materials for further manufacturing operations employing the intuitive graphical interactive programming features of a robot cutting system user interface to enhance productivity and versatility in high mix, low volume fabrication environments with minimal operator training.

Aspects of the present disclosure relate generally to the manufacture of assemblies of components, and in particular to methods, apparatus, and systems for performing manufacturing operations. In one aspect, a method of manufacturing an assembly of components includes positioning first and second components into a nominal configuration with respect to each other at a first factory location. The method further includes drilling a fastener joining hole through an interface of the first and second components at the first factory location. The method further includes positioning the first and second components for fastener joining at a second factory location. The method further includes inserting a fastener into the fastener joining hole to couple the first and second components together.

Embodiments of a system including at least one access node configured to wirelessly transmit and receive signals to and from industrial devices within at least two cells of a cellular communications network deployed within a manufacturing facility; and a computer system. The computer system includes an interface connected to transmit and receive signals to and from the access node; and processing circuitry configured to: define a manufacturing process instance, MPI, identifying manufacturing operations necessary to perform a predetermined manufacturing process; allocate one of more of the industrial devices to the MPI, each allocated industrial device configured to perform at least one of the identified manufacturing operations; and implement an Controller configured to control each of the industrial devices allocated to the MPI to cooperatively perform the predetermined manufacturing process.

To provide a gear wheel that can improve toughness of a tooth bottom and a dedendum to improve durability of a gear wheel, and to provide a method for manufacturing a gear wheel that can improve workability of manufacturing operation of a gear wheel that can improve durability.SOLUTION: A gear wheel 1 includes: a tooth bottom 2A; a dedendum 2B communicated to the tooth bottom 2A; an addendum 2C; a tooth flank 2D formed between the dedendum 2B and the addendum 2C; a carburized layer 5 provided on the tooth flank 2D; and a non-carburized part 6 provided in a dedendum part 3, where the dedendum part 3 has a surface hardness that is lower than the hardness of the tooth flank 2D.SELECTED DRAWING: Figure 3

The embodiment of the invention discloses a method and a device for testing a fault diagnosis function of a controller. The method comprises the following steps: determining a first fault code corresponding to a target fault; after executing the first recovery operation on the tested device, acquiring a second fault code from a tested controller of the tested device; based on the first fault code and the second fault code, whether the detected controller has a target fault in the initial state is judged; when the tested controller does not have the target fault in the initial state, executing a fault manufacturing operation on the tested device so as to manufacture the target fault in the tested controller; and after the target fault is successfully manufactured in the tested controller, executing a second recovery operation on the tested device, so that the target fault becomes a historical fault. According to the scheme, full-automatic testing of the fault diagnosis function of the controller can be achieved, the problem of incomplete functions of a testing scheme in the prior art can be solved, and consumption of human resources and time can be reduced.

Technologies for performing efficient diagnostic operations on a robotic manufacturing system include circuitry configured to interface with a robotic manufacturing system that is configured to automate robotic manufacturing operations across multiple robotic manufacturing devices. The robotic manufacturing operations may be automated according to one or more recipes that define the robotic manufacturing operations in association with one or more jobs indicative of one or more building components to be manufactured. The circuitry may also be configured to perform one or more diagnostic operations associated with at least one robotic manufacturing device of the robotic manufacturing system while isolating the one or more diagnostic operations from the automated robotic manufacturing operations of the robotic manufacturing system, to prevent interference with the production of the one or more building components.

The utility model discloses an adjustable feeding device for part machining, and mainly relates to the technical field of manufacturing and feeding. Comprising a driving rod, the bottom end of the driving rod is rotationally connected with the surface of the operation table, the upper end of the driving rod is fixedly connected with a rotating plate, and the rotating plate is fixedly connected with a rotating shaft; the peripheral surface of the rotating plate is fixedly connected with a material frame through an auxiliary device, and the side, close to the driving rod, of the surface of the operation table is fixedly connected with a driving motor. The feeding device has the advantages that the problems that in the production and manufacturing operation, all parts need to be assembled, at the moment, assembled workpieces need to be transported and combined through the feeding device, and due to the fact that only one storage frame is arranged in a common feeding device, when the workpieces are used up, the workpieces cannot be conveyed and combined through the feeding device are solved; and workpieces need to be continuously added again, and the process is tedious.

An embodiment of a system includes: at least one access node configured to wirelessly transmit and receive signals to and from industrial devices located within at least two cells of a cellular communication network deployed within a manufacturing facility; and a computer system. The computer system includes an interface connected to transmit and receive signals to and from the access node; and processing circuitry configured to: define a manufacturing process instance (MPI) that identifies manufacturing operations necessary to perform a predetermined manufacturing process; assign one or more of the industrial devices to the MPI, each assigned industrial device being configured to perform at least one of the identified manufacturing operations; and implement a controller configured to control each of the industrial devices assigned to the MPI to cooperatively perform the predetermined manufacturing process.

The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with a plant operation, such as a manufacturing, production or processing facility, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses process data to enable operating personnel including management at a facility, to have a comprehensive understanding of risk status and changes in alarm and non-alarm variables. Hidden process near-miss data may be analyzed alone or in combination with other process data and / or data resulting from prior near-miss situations, to identify strategic action to be taken to reduce the severity of, or avert, adverse incidents or catastrophic failure of a facility operation. The invention also provides autonomous learning and monitoring of historical inter variable relationships to distinguish normal multivariate behavior from anomalous departures indicative of undesirable process issues or sensor asynchronicity.

The invention discloses an integrated photovoltaic power generation wallboard forming and manufacturing device which comprises an automatic wallboard output mechanism, and a wallboard forming and manufacturing mechanism is arranged above the automatic wallboard output mechanism. The double-head frame is driven to move through the lifting assembly, the inclined openings and the inclined strips are matched to drive the wallboard mold structures to be close to one another, the purpose of combining the multiple wallboard mold structures is achieved, the multiple wallboards can be conveniently manufactured at the same time, after the wallboards are formed, the multiple wallboard mold structures can be directly and automatically demolded, the demolding efficiency is improved, and the production cost is reduced. Then the formed wallboard can be directly pulled down through the formed wallboard discharging assembly, so that rapid discharging is facilitated, wallboard coiled materials can be directly cut off through the coiled material cutting assembly, the purpose of wallboard separation is achieved, a new round of manufacturing operation is facilitated, manufacturing, demolding and cutting operation of multiple models can be synchronized in the mode, the automation degree is improved, and the production efficiency is improved. And the continuous manufacturing operation can be met.

The utility model provides a different-plane-angle auxiliary forming tool for an aircraft waste water and grey water pipeline, which relates to the technical field of aerospace manufacturing and comprises a core mold, a clamping mechanism, a pointer arm, an angle scale and a positioning mechanism. Axial scale marks are arranged on the core mold; the clamping mechanism is slidably arranged on the core mold in a sleeving manner, is provided with a clamping space and is used for clamping a pipeline; the positioning mechanism is slidably arranged on the core mold in a sleeving mode, the first end face of the positioning mechanism is connected with the angle scale, and the second end face abuts against the clamping mechanism and the pipeline; the pointer arm is hinged to the clamping mechanism and used for pointing to angle scale lines of the angle scale. Through the synergistic effect of the core mold, the clamping mechanism, the pointer arm, the angle scale and the positioning mechanism, a universal and efficient auxiliary bending tool is formed in a combined mode, the auxiliary bending tool is matched with a common pipe bending machine to conduct multi-dimensional and high-precision different-plane-angle manufacturing operation, and the high-standard manufacturing requirement of aircraft waste water and grey water pipelines is met.

The present disclosure relates to a workstation and a technique to automatically configure the workstation. The workstation can be used to perform various tasks including but not limited to medication delivery, collection of medical records, patient care, manufacturing operations, and others. The workstation can be configured by the user depending on the tasks to be performed using the workstation. Various sensors (e.g., hall effect sensors, optical sensors, or the like) can be coupled to the workstation, and sensor operators (e.g., magnets, color coded strips, or the like) can be coupled to the modules. By aligning sensor operators with sensors when modules are coupled to the workstation, a configuration (e.g., size, shape, location, or the like) of modules can be automatically detected by the workstation controller. The controller of the workstation can then adapt to perform certain tasks (e.g., lock / unlock drawers, or the like) depending on the detected configuration of modules.

The invention relates to the field of mechanical engineering and can be used in the manufacture of track links. A wire consisting of at least a first and a second material is wound onto a frame. The formed coil is heated and then flattened to the desired shape such that a permanent connection is formed. The first material may be a wear-resistant steel and the second material may be a high-tensile steel. The wire may have a variable diameter. Before the wire is wound, an insert made of a wear-resistant steel may be fastened to the frame. The result is an increase in the strength and wear-resistance properties of the manufactured parts and a simplification of the manufacturing process due to a reduction in the number of manufacturing operations to be performed.

A method and a system perform dynamic exposition of data from a data repository. The method includes the steps of: providing one or more data model entities relevant to the data to be exposed; creating a controller for the or each data model entity; compiling the or each controller thereby creating a respective artifact; and processing the artifact(s) to obtain the data exposition at a data exposition host. The step of providing at least one data model entity includes creating a logical, human-readable representation of the data model (e.g. a metamodel), and the steps of creating and compiling the or each controller and creating and processing the artifact(s) are automatically performed starting from the metamodel(s) when a user modifies the latter and requests data exposition.

The invention provides a streaming-batch integrated multi-source heterogeneous aviation data synchronization method, and relates to the technical field of aircraft flight data synchronization processing, and the method comprises the following steps: S1, configuring a data source; s2, configuration data extraction, conversion and information loading. Through an innovative flow batch fusion architecture and an intelligent scheduling mechanism, unified collection, conversion and loading of multi-source heterogeneous aviation data such as flight data, manufacturing data and operation and maintenance data are achieved, the problem of traditional architecture splitting is solved, and the data processing efficiency is improved through built-in aviation special data processing logic and a visual configuration interface. According to the tool, the technical threshold of data processing is remarkably reduced, the data processing efficiency is improved, real-time and accurate data support is provided for the whole life cycle of aircraft design, manufacturing and operation, finally, maximum utilization of aviation data values is achieved, a visual form configuration interface is provided, the technical threshold is reduced, and the data processing efficiency is improved. And non-technical background business personnel can complete a complex data processing task in a low-code or even zero-code manner.