Case Based Reasoning Intelligent System for Network Computer Aided Process Planning

Computer aided process planning system played a key role for integrating design and manufacturing or assembly systems properly considering available resources and design constraints.To take advantage of the enterprise resource,the web CAPP framework was established.Case based reasoning and multi agent system were integrated in the system.The multi agent mecha- nism was discussed in the paper.And an instance of case base was introduced.They made the system run independently and contin- uously in the network environment of process planning problems.

An Intelligent Master Model of Computer Aided Process Planning for Large Complicated Stampings

Process planning for large complicated stampings is more complicated, illegible and multiform than that for common stampings. In this paper, an intelligent master model of computer aided process planning （CAPP） for large complicated stampings has been developed based on knowledge based engineering （KBE） and feature technology. This innovative model consists of knowledge base （KB）, process control structure （PCS）, process information model （PIM）, multidisciplinary design optimization （MDO）, model link environment （MLE） and simulation engine （SE）, to realize process planning, optimization, simulation and management integrated to complete intelligent CAPP system. In this model, KBE provides knowledge base, open architecture and knowledge reuse ability to deal with the multi-domain and multi-expression of process knowledge, and forms an integrated environment. With PIM, all the knowledge consisting of objects, constraints, cxtmricncc and decision-makings is carried by object-oriented method dynamically for knowledge-reasoning. PCS makes dynamical knowledge modified and updated timely and accordingly. MLE provides scv. cral methods to make CAPP sysmm associated and integrated. SE provides a programmable mechanism to interpret simulation course and result. Meanwhile, collaborative optimization, one method of MDO, is imported to deal with the optimization distributed for multiple purposes. All these make CAPP sysmm integrated and open to other systems, such as dic design and manufacturing system.

MULTI-AGENT COMPUTER AIDED ASSEMBLY PROCESS PLANNING SYSTEM FOR SHIP HULL

A multi agent computer aided assembly process planning system (MCAAPP) for ship hull is presented. The system includes system framework, global facilitator, the macro agent structure, agent communication language, agent oriented programming language, knowledge representation and reasoning strategy. The system can produce the technological file and technological quota, which can satisfy the production needs of factory.

Computer Aided Process Planning Expert System for Die Forging

This paper presents a software developed for the computer aided die forging process planning expert system, an expert knowledge base built in an appropriate knowledge representation form in accordance with special features of die forging technology, an inference engine combining procedural reasoning with backward reasoning by means of a blackboard to satisfy the multi level and multi goal requirements for the system, and maintenance of the system in the way of semi automatic knowledge acquisition.

An Architecture of Computer Aided Process Planning System Integrated with Scheduling Using Decision Support System

Process planning and scheduling are two major plann in g and control activities that consume significant part of the lead-time, theref ore all attempts are being made to reduce lead-time by automating them. Compute r Aided Process Planning (CAPP) is a step in this direction. Most of the existin g CAPP systems do not consider scheduling while generating a process plan. Sched uling is done separately after the process plan has been generated and therefore , it is possible that a process plan so generated is either not optimal or feasi ble from scheduling point of view. As process plans are generated without consid eration of job shop status, many problems arise within the manufacturing environ ment. Investigations have shown that 20%～30% of all process plans generated are not valid and have to be altered or suffer production delays when production sta rts. There is thus a major need for integration of scheduling with computer aide d process planning for generating more realistic process plans. In doing so, eff iciency of the manufacturing system as a whole is expected to improve. Decision support system performs many functions such as selection of machine too ls, cutting tools, sequencing of operations, determination of optimum cutting pa rameters and checking availability of machine tool before allocating any operati on to a machine tool. The process of transforming component data, process capabi lity and decision rules into computer readable format is still a major obstacle. This paper proposes architecture of a system, which integrates computer aided p rocess-planning system with scheduling using decision support system. A decisio n support system can be defined as " an interactive system that provides the use rs with easy access to decision models in order to support semi-structured or u nstructured decision making tasks".

Case-based intelligent computer aided design system of welding machinery

The procedure during complex system plan design of welding position-locating machine is studied in this paper. The main difficulties in designing welding position-locating machine utilizing computer are discussed as well. A method of case-based intelligent CAD system for welding position-locating machine ( WMICAD) is put forward through wide research on design methodology. Object-oriented programming method is also applied to Ms system. The basic idea and realizing method are described.

Integrating Process Planning and Scheduling with an Intelligent Facilitator

This paper introduces a dynamic facilitating mechan is m for the integration of process planning and scheduling in a batch-manufacturi ng environment. This integration is essential for the optimum use of production resources and generation of realistic process plans that can be readily executed with little or no modification. In this paper, integration is modeled in two le vels, viz., process planning and scheduling, which are linked by an intelligent facilitator. The process planning module employs an optimization approach in whi ch the entire plan solution space is first generated and a search algorithm is t hen used to find the optimal plan. Based on the result of scheduling module an u nsatisfactory performance parameter is fed back to the facilitator, which then i dentifies a particular job and issues a change to its process plan solution spac e to obtain a satisfactory schedule.

Feature Based Machining Process Planning Modeling and Integration for Life Cycle Engineering

Machining process data is the core of computer aided process planning application systems.It is also provides essen- tial content for product life cycle engineering.The character of CAPP that supports product LCE and virtual manufacturing is an- alyzed.The structure and content of machining process data concerning green manufacturing is also examined.A logic model of Machining Process Data has been built based on an object oriented approach,using UML technology and a physical model of machin- ing process data that utilizes XML technology.To realize the integration of design and process,an approach based on graph-based volume decomposition was apposed.Instead,to solve the problem of generation in the machining process,case-based reasoning and rule-based reasoning have been applied synthetically.Finally,the integration framework and interface that deal with the CAPP integration with CAD,CAM,PDM,and ERP are discussed.

THCAPP: Computer Aided Process Planning System in an Integrated Environment

THCAPP is a computer aided process planning system for non-rotational parts which runs in a CIMS (computer integrated manufacturing system ) environment at Tsinghua University. Its architecture is described in this paper. Then its main functions and key techniques, including part modeling, generative process planning and integration with CAD (computer aided design) and CAM (computer aided manufacturing) ale discussed in detail.

Operation optimization of the steel manufacturing process: A brief review

Against the realistic background of excess production capacity, product structure imbalance, and high material and energy consumption in steel enterprises, the implementation of operation optimization for the steel manufacturing process is essential to reduce the production cost, increase the production or energy efficiency, and improve production management. In this study, the operation optimization problem of the steel manufacturing process, which needed to go through a complex production organization from customers' orders to workshop production, was analyzed. The existing research on the operation optimization techniques, including process simulation, production planning, production scheduling, interface scheduling, and scheduling of auxiliary equipment, was reviewed. The literature review reveals that, although considerable research has been conducted to optimize the operation of steel production, these techniques are usually independent and unsystematic.Therefore, the future work related to operation optimization of the steel manufacturing process based on the integration of multi technologies and the intersection of multi disciplines were summarized.

基于人工智能的自然语言处理技术辅助写作应用研究

人工智能领域中自然语言处理技术占据重要的一席之地,运用专业计算机技术实现对人类语言的理解、处理与生成。自然语言处理技术在语言信息处理、智能交互中展现出巨大的优势,应用于辅助写作方面其作用也比较突出。基于人工智能的自然语言处理技术具有广阔的研究前景。本文首先对人工智能及自然语言处理技术进行了解分析,对自然语言处理关键技术进行了剖析,旨在为自然语言处理技术辅助写作的具体应用提供依据。

急救流程干预联合应急预案改善急诊脊柱骨折预后及睡眠的研究

目的:探究采取急诊流程干预联合应急预案对急诊脊柱骨折患者预后及睡眠改善作用。方法:选取2022年9月至2023年9月三明市第二医院急诊科收治的脊柱骨折患者96例作为研究对象,随机分为对照组和观察组,每组48例。对照组开展常规护理,观察组开展急诊流程干预联合应急预案。从疼痛程度、失眠程度、主观睡眠质量评估2组干预效果。结果:干预后观察组视觉模拟评分(VAS)相比对照组更低(P<0.05);观察组失眠严重程度指数量表(ISI-C)评分相比对照组降低(P<0.05);观察组匹兹堡睡眠质量指数(PSQI)比对照组更低(P<0.05)。结论:急诊脊柱骨折患者采取急诊流程干预联合应急预案能明显减轻疼痛程度,缓解失眠症状,提高睡眠质量。

THE OBJECT-ORIENTED INTELLIGENT PROGRAMMING IN CAD/CAM

Design and manufacture organizations currently suffer from a number of problems that aignificantly affect their productivity.Despite their fragmented efforts to automate portioas of operations,they still suffer from 'islands' of designing and manufacturing automation,long lead time for semi-custom proposals and engineering work, lengthy cycles of product development and introduction into the market,and low morale due to boring,repetitive engineering and industrial design activities.Thereby,the integration of design and manufacturing poses to the CAD/CAM researchere a series of challenges.The paper introduces a methodology that allows for the integration of product design with manufacturing process planning and the application of a new software technology known as 'Object-Oriented Intelligent Programming' .The task is achieved through an object-oriented intelligent CAD/CAM environment where a design model from the CAD system can be analysed, and manufacturing process plans with specifications of machining can be automatically determined.The manufacturing information of a part is extracted from the 3D geometric model and the 2D engineering drawing,thus,both geometric and non-geometric attributes of a part can be obtained.

基于航迹规划的无人机地形辅助导航

为改善无人机基于地形轮廓匹配的地形辅助导航地形适应性差、实时性差的问题,本文提出一种基于航迹规划的地形辅助导航方法。针对地形匹配对地形依赖性强的问题,将无人机需要途经的区域进行分块并计算各块地形标准差,根据地形标准差选出地形平坦区域和地形起伏区域,用航迹规划算法为无人机规划出在地形起伏较大区域的航线。针对传统遍历搜索高程匹配算法耗时长的问题,在粒子群算法基础上引入分布估计的思想,形成优化粒子群算法进行地形轮廓匹配,加强全局寻优能力。仿真实验结果表明:优化粒子群算法降低匹配时长2/3,基于航迹规划的地形辅助导航降低位置误差6/7。

基于立体视觉和YOLO深度学习框架的焊缝识别与机器人路径规划算法

为了实现机器人焊接的免示教路径规划,结合深度学习与点云处理技术,开发了一种高效、稳定的焊缝智能识别算法.首先,采用ETH(Eye-to-hand)构型的工业级3D相机获取焊件周围的二维图像和3D点云模型,利用预先训练的YOLOv8目标检测模型识别焊件所在的ROI区域(region of interest,ROI),模型识别精度为99.5%,从而实现快速剔除背景点云,并基于RANSAC平面拟合、欧式聚类等点云处理算法,对ROI区域的三维点云进行焊缝空间位置的精细识别;最后根据手眼标定结果转化为机器人用户坐标系下的焊接轨迹.结果表明,文中所开发的算法可实现随机摆放的焊缝自动识别和焊接机器人路径规划,生成的轨迹与人工示教轨迹效果相当,偏差在0.5 mm以内.

基于深度双目视觉处理的智能采摘机器人设计

针对采摘机器人对果蔬的位置定位不够准确、无法准确避障,导致采摘效率较低的问题基于深度双目视觉处理对智能采摘机器人进行了设计。智能采摘机器人的主要组成包括PLC控制器、视觉系统、移动平台、导航系统、机械臂、通信系统和电源。为了对采摘机器人的机械臂进行最优路径规划并避障,通过对采集的图像进行预处理后,利用双目视觉系统对果蔬进行精准定位,然后采用哈夫变换直线检测的方法进行最优路径的设计和选择,最终确定最优采摘路径。对采摘机器人进行运动轨迹精度试验和采摘试验,结果表明:采摘机器人对果蔬的采摘成功率较高,可以满足果农对于采摘机器人的要求。

基于遗传算法的可重构组合机床工序规划方法

针对目前基于人工设计的工艺排布效率低、不利于智能化和自动化的问题,对计算机辅助工艺规划(CAPP)系统进行研究,并提出一种基于遗传算法的工艺智能排布方法。通过对加工区域进行离散化,建立相应的数学模型,制定适应该问题的遗传算法编码规则,并基于遗传算法求解该模型,得到工艺排布矩阵。最后,通过导套机加工实际生产工艺排布案例验证该方法的可靠性。结果表明:与实际设计过程对比,该方法将几小时的工作量缩短至几分钟,极大减少了工艺人员的工作量,提高了工艺排布效率,有利于工艺排布的自动化和智能化。

新能源涂装车间建设项目规划思路

主要介绍了新能源涂装车间建设项目规划思路,包括生产线规划、智能化策划、质量策划、环保策划、节能策划、新工艺新技术6个方面。可分为生产线规划项目9个,智能化策划项目6个,质量策划项目4个,环保策划项目6个,节能策划项目5个,新工艺新技术项目4个。

基于工艺引擎的规划放煤控制系统

目前对综放智能化的研究主要聚焦于感知方面,对放煤过程智能化的研究较少,自动放煤控制技术存在自适应性不足、效率较低、放煤质量难以把控等问题。为了提升放煤过程的智能化水平与运行效率,设计了一种基于工艺引擎的规划放煤控制系统。该系统由放煤管控单元和窗口决策单元组成:规划放煤管控单元通过异步递进的放煤调度策略、柔性切换技术及规划放煤工艺编辑引擎,实现采煤机位置弱关联的自动顺序放煤及工艺在线编辑,通过关联后部刮板输送机负载,动态调整工艺启停,保障刮板输送机安全作业;窗口决策单元通过PID控制算法动态调节尾梁角度,实现放煤窗口反馈控制,采用遗传算法优化BP神经网络对放煤窗口大小进行智能决策,以适应不同工况,提高放煤质量。现场应用结果表明:基于异步递进的放煤调度策略与柔性切换技术提升了单刀自动运行效率,无需再手动接管;每一班组自动化运行刀数提升了33.3%;系统关联的后部刮板输送机负载、泵站等设备可动态调整工艺启停,每班后部刮板输送机平均停止次数下降了61.1%,可保障作业安全;工艺编辑引擎能适应多种场景下的应用,工艺调整用时大幅度降低;后部动作与前部动作相互叠加,使得单刀平均用时缩短了9.3%,提升了开采效率;倾角传感关联控制与规划放煤窗口智能决策将每日发热量提升了10.3%,改善了放煤质量。

Expert,Neural and Fuzzy Systems in Process Planning

Computer aided process planning (CAPP) aims at improving efficiency, quality, and productivity in a manufacturing concern through reducing lead times and costs by utilizing better manufacturing practices thus improving competitiveness in the market. CAPP attempts to capture the thoughts and methods of the experienced process planner. Variant systems are understandable, generative systems can plan new parts. Expert systems increase flexibility, fuzzy logic captures vague knowledge while neural networks learn. The combination of fuzzy, neural and expert system technologies is necessary to capture and utilize the process planning logic. A system that maintains the dependability and clarity of variant systems, is capable of planning new parts, and improves itself through learning is needed by industry.