32 results about "Manufacturing operations" patented technology

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 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.

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 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.

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.

A robotic manufacturing system includes at least one first robot arm positioned in a manufacturing cell, a second robot arm coupled to a manufacturing tool and also located within the manufacturing cell. The system includes a pose adjustment station and a manufacturing station inside the cell. A controller is connected to both robot arms and includes a processor and memory storing instructions. When executed by the processor, the instructions cause the system to perform operations including grasping objects with the first robot arm in various initial poses from the highly unstructured storage environment, transferring the objects to the relatively structured pose adjustment station for regrasping in a common adjusted grasp pose that facilitates downstream manufacturing operations. The system then regrasps the objects in the adjusted grasp pose(s) and performs manufacturing and manufacturing operations. The introduction of the pose adjustment station significantly reduces overall weld cycle time.

The application provides a manufacturing information multi-view composite mapping interaction method for business personnel, and the method comprises the following steps: displaying a business rule configuration interface; determining a composite rule according to a configuration operation of a user in the business rule configuration interface; generating an interactive execution link corresponding to the composite rule in response to a state change event corresponding to the composite rule; executing the interactive execution link to each source system to obtain an execution result of the interactive execution link, a business result and data blood relationship information; and updating current association information according to the execution result of the interactive execution link, the business result and the data blood relationship information. The application realizes semantic unification in system integration and traceability of cross-view data, improves the agility of manufacturing operation, enables the manufacturing execution system to quickly adapt to the flexible production mode of small batches and multiple varieties, and effectively supports efficient collaboration and dynamic response under new production modes such as island assembly, in-situ manufacturing and reconfigurable manufacturing.

A processing system is provided for capturing and recycling process gases from semiconductor manufacturing operations. The system includes a process chamber configured to process a substrate and an exhaust system coupled to the process chamber and configured to remove process effluent from the process chamber. An abatement system including a first metal-organic framework (MOF) container is coupled downstream of the exhaust system, where the first MOF container is configured to capture a first gas species of the process effluent.

A method for computer aided manufacturing of an item, comprising: receiving a project setup and a current state of a manufacturing process for the item, the current state comprising a representation of a workpiece and an operation tree; selecting, for each candidate option, a working tool, additional parameters and computing a toolpath force for a toolpath associated with the candidate option; computing, for each candidate option of a subsequent step of manufacturing the item, a score using a scoring function, wherein an input to the scoring function comprises a simulation of an operation corresponding to the candidate option; performing a simulation based on the selected working tool and the computed toolpath force; selecting a sequence of manufacturing operations and corresponding working tools to manufacture the item; generating machine-executable instructions configured to cause a manufacturing machine to perform the selected sequence of manufacturing operation.

The invention relates to the technical field of production management, and provides a manufacturing operation management method and device based on an MOM system, equipment and a medium. The method comprises the steps of performing constraint planning on order data according to a collected production resource constraint set to generate production scheduling planning data, performing classified screening and simulation decision on production event data according to the production scheduling planning data to obtain a production scheduling instruction, and performing control monitoring and root cause analysis on product quality data to generate a quality correction strategy. And performing feature extraction and equipment state prediction evaluation on the equipment state data according to the equipment operation historical database to generate an equipment maintenance strategy, and performing association analysis according to the production scheduling planning data, the production scheduling instruction, the quality correction strategy and the equipment maintenance strategy to obtain an optimization decision report. Through constraint-driven production scheduling, simulation decision, statistical root cause analysis and prediction maintenance, delivery, quality and equipment availability are improved, operation cost is reduced, and a traceable management decision is provided.

The invention discloses a monitoring, regulating and controlling system and method for additive-equal-subtractive composite manufacturing, and relates to the technical field of additive manufacturing. The defect monitoring module is used for predicting the defect generation condition of the future formed part; the stress deformation prediction module is used for predicting a future stress field evolution sequence and / or deformation field evolution sequence; the process coordinated regulation and control module is used for generating additive manufacturing parameters and / or hierarchical control instructions of the additive-equal-subtractive manufacturing module in the next period according to the defect and stress / deformation field prediction result; the additive-equal-subtractive manufacturing module is used for executing additive or equal or subtractive manufacturing operation; through global data acquisition, multi-process defect prediction, stress deformation prediction and a hierarchical coordinated regulation closed-loop architecture driven by a prediction result, prospective accurate management and control of defects and stress deformation in the additive and subtractive composite manufacturing process are realized, and the forming quality and the yield of complex components in additive and subtractive composite manufacturing are improved.

A system (10) is provided for performing an operation on a subsea body (100), the system (10) comprises: a housing (20) configured to establish a sealed chamber around a section of the body (100); an environmental system configured to monitor and / or control an environment within the sealed chamber; and an operational tool (40) mounted to a positioning system (30) within the housing (20), wherein the operational tool (40) is configured to perform an additive manufacture operation on the body (100) within the sealed chamber. Also provided is a system (201) for performing an operation on an interior surface of a tubular body (200).

A processing system is provided for capturing and recycling process gases from semiconductor manufacturing operations. The system includes a process chamber configured to process a substrate and an exhaust system coupled to the process chamber and configured to remove process effluent from the process chamber. An abatement system including a first metal-organic framework (MOF) container is coupled downstream of the exhaust system, where the first MOF container is configured to capture a first gas species of the process effluent.

The invention discloses a multi-system fused wooden door manufacturing enterprise information system integration architecture and method, which adopts a layered loose coupling design, and comprises an enterprise operation layer which comprises an enterprise resource planning system for order and financial management and a product life cycle management system for product model and process management; the planning and scheduling layer comprises an advanced planning and scheduling system which serves as a planning decision center and carries out limited productivity simulation and optimized scheduling based on multi-source real-time data, and the manufacturing operation layer comprises a manufacturing execution system used for production execution and monitoring and a warehouse management system used for fine management of materials. By constructing a unified data model, adopting an event-driven loose coupling collaboration mechanism and establishing a middle platform for converging real-time manufacturing data, full-process digital communication and intelligent linkage from customer orders, product design, material supply, intelligent scheduling, manufacturing execution to warehouse logistics are realized.

Systems and methods of computer-aided manufacturing are disclosed. A computer-aided manufacturing apparatus includes a tool operable to perform a manufacturing operation within a work area. The scanner obtains scan data corresponding to a portion of the work area. The processor is configured to obtain scan data of a workpiece positioned within the work area, generate a digital model of the workpiece, generate tool paths of the tool based on the digital model, operate the computer-aided manufacturing system to perform at least one manufacturing operation in accordance with the at least one tool path to generate a modified workpiece, and generate a modified workpiece based on the modified workpiece. The modified scan data of the workpiece is obtained, and the at least one manufacturing operation is validated based on the modified scan data of the workpiece.

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 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.

NFC multi-tapping systems for enhanced manufacturing operations. The present disclosure includes disclosure of a method of near field communication (NFC) use, comprising a) first tapping an NFC tag using an NFC-enabled electronic device of a NFC- enabled system in connection with a product, system, or machine to initiate an interaction and access data related thereto, b) second tapping the NFC tag to modify the interaction or the capability of the interaction in connection with said product, system, or machine, and c) third tapping the NFC tag in connection with the product, system, or machine to log the modification of the interaction or the capability of the interaction.

The invention relates to a cooperative control method and system for civil aircraft manufacturing operation, terminal equipment and a readable storage medium. The method comprises the following steps: S1, multi-source business data acquisition and standardized modeling; s2, constructing a process-level process model and realizing intelligent transmission of configuration change; s3, constraint condition modeling and multi-level plan dynamic scheduling are carried out; s4, generating a structured work order and implementing closed-loop collaboration; and S5, performing micro-service deployment and intelligent operation and maintenance construction. According to the invention, the problems of low configuration change transmission efficiency, high production plan misalignment rate, slow scheduling response, execution layer data islanding and rigid system architecture in the prior art are solved; the method has the advantages that the configuration change processing efficiency is improved, process-level fine control is realized, dynamic scheduling optimization is supported, the closed-loop cooperative execution capability is enhanced, and the system deployment flexibility is improved.

The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The 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 permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.

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.

The invention provides a quality inspection task self-generation method and device and a manufacturing operation management system, and the method comprises the steps: monitoring a change event of a production plan system, the change event comprising at least one of work order splitting, work order merging and work order insertion; in response to the monitored change event, analyzing associated production work order information, manufacturing material list and process route information, and identifying an affected quality inspection process node; and automatically generating or updating a quality inspection task based on the quality inspection process node so as to synchronize the quality inspection task with a production plan. By setting the step of monitoring the change event, the response mechanism can be automatically triggered at the first time when the production state is changed, the quality inspection task is synchronized in real time, and the automation level, the response speed and the accuracy of quality management are improved.

A device electrically coupled with manufacturing equipment and in digital communications with an equipment logic controller, data acquisition system, or both. The device comprises a processor that executes an instruction set. Execution of the instruction set causes the processor to condition signals captured by a sensor, generate a message that comprises a discrete signals and signal identifier, determine an address and service port a process control broker, and send the message to the process control broker. The service port is configured for use as a peer-to-peer connection. The device comprises a PoE device electrically coupled with an ethernet port, the processor, and a PNP-NPN switch. The device is electrically coupled with the PNP-NPN switch. The processor is communicably coupled with the ethernet port. The process control broker processes the message and performs one or more commands, including providing the discrete signal and signal identifier to an equipment process controller.

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 invention relates to the technical field of manufacturing operation management, in particular to an intelligent production monitoring management method and system for aviation ring forgings. The method comprises the following steps: acquiring a micro-area grid and probe layout scheme and an equipment list, and carrying out coordinate and time anchor point binding and channel self-inspection and cleaning to form an available sequence and confidence label set and an influence factor candidate set; carrying out quantile adaptive threshold learning, probabilistic switching and rollback configuration, and carrying out causal impact reinforcement to obtain an adaptive threshold set and a version mirror image; realizing robust fusion and trigger item explanation of the environment, the equipment and the production line based on the time-varying weight and the consistency measurement, and outputting a disposal suggestion; multi-target scheduling, amplitude limiting and receipt registration are executed in combination with a production resource mirror image, and a closed loop from learning to execution to re-learning is constructed. The method is beneficial to improving the judgment accuracy, reducing false alarm and missing alarm, and supporting traceable auditing and stable scheduling.

This prevents foreign objects from getting caught when moving the door to the closed position, while also simplifying manufacturing operations and reducing manufacturing costs. [Solution] The wall W has a door body 20 disposed in an opening WO, and between the wall W and one side edge of the door body 20, there are upper and lower pivot hinges 21 which have a hinge axis C in the cross-section of the door body 20 and allow the door body 20 to open and move to one side and the other side of the wall W, at least one of the pivot hinges 21 is a self-closing type that biases the door body 20, and one side edge of the door body 20 is configured to have a cylindrical surface 20a centered on the hinge axis C along the top and bottom.

A method for manufacturing in a manufacturing environment includes categorizing one or more features of a product based on a manufacturing process that includes a number of manufacturing operations, with each operation corresponding to a specific product feature. User input related to product enhancements is collected through various channels and analyzed using natural language processing (NLP) to identify desired product enhancements. The identified enhancements are prioritized through a trade-off analysis that evaluates resource utilization, production time, and operational constraints. The prioritized enhancements are then mapped to corresponding manufacturing operations to identify necessary adjustments in the manufacturing process. The manufacturing process is dynamically reconfigured to implement the identified adjustments or to generate new product variants.

The utility model discloses a cable connecting device, which comprises a main connecting pipe and side joints, the inner diameter of the main connecting pipe is consistent with the diameter of a cable core, the outer peripheral surface of the main connecting pipe is provided with a thread groove, the side joints are arranged on the two sides of the main connecting pipe, and the side inner walls, facing the main connecting pipe, of the side joints are provided with internal threads. The side connectors are connected with the two sides of the main connecting pipe in a screwed-in mode, the material of the inner wall of the main connecting pipe is consistent with the material of a cable core, end pipes are installed on the outer sides of the side connectors, and clamping jaw structures are installed on the end faces, away from the side connectors, of the end pipes. The utility model provides a cable connecting device, which solves the problems that a conventional connecting pipe fitting is temporarily manufactured according to field conditions, although the temporarily manufactured connecting pipe fitting is more suitable for actual cable heads to use, the repair speed is greatly reduced due to tedious manufacturing steps, and cable joints which are not manufactured in batches are difficult to manufacture due to manufacturing operation reasons. The stability of the joint is difficult to guarantee.