Robotic Process Automation with New Future Trends

The invention concept of Robotic Process Automation (RPA) has emerged as a transformative technology that has revolved the local business processes by programming repetitive task and efficiency adjusting the operations. This research had focused on developing the RPA environment and its future features in order to elaborate on the projected policies based on its comprehensive experiences. The current and previous situations of industry are looking for IT solutions to fully scale their company Improve business flexibility, improve customer satisfaction, improve productivity, accuracy and reduce costs, quick scalability in RPA has currently appeared as an advance technology with exceptional performance. It emphasizes future trends and foresees the evolution of RPA by integrating artificial intelligence, learning of machine and cognitive automation into RPA frameworks. Moreover, it has analyzed the technical constraints, including the scalability, security issues and interoperability, while investigating regulatory and ethical considerations that are so important to the ethical utilization of RPA. By providing a comprehensive analysis of RPA with new future trends in this study, researcher’s ambitions to provide valuable insights the benefits of it on industrial performances from the gap observed so as to guide the strategic decision and future implementation of the RPA.

How Does Robotics Process Automation (RPA) Affect Project Management Practices

The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.

A360 Bot Framework: Empowering Smart Robotic Process Automation Solutions

This research paper explores the significance of the “A360 Bot Framework” in Automation 360 (A360) platform. A360 is Automation Anywhere’s cloud-based automation platform designed to make business processes more efficient. It’s known for its user-friendly interface, which allows both technical and non-technical users to use it effectively. Automation 360 is versatile, offering a range of tools to automate tasks, manage complex workflows, and integrate various applications. It empowers users to create customized solutions for their specific needs. Being cloud-based it ensures scalability, security, and real-time updates, making it a top choice in the fast-paced digital world. As demand for A360 rises, having a structured way to develop bots becomes crucial. The paper introduces the “A360 Bot Framework” as a guiding approach for bot developments. This framework ensures consistency and scalability, especially when working with both professional developers and non-technical users. It outlines key elements like setting up work folders, managing logs, dealing with errors, and ensuring secure bot execution. Ultimately, the “A360 Bot Framework” is presented as a foundational structure that enhances consistency, resiliency, and development efficiency. By following predefined practices and templates, bot developers can mitigate risks and streamline debugging processes. This framework accelerates the bot development lifecycle, allowing developers to focus on specific functionalities and value-added features. The research paper aims to provide insights into the benefits of adopting the A360 Bot Framework and its potential to revolutionize A360 bot development practices, leading to more efficient and effective automation solutions.

高职院校RPA新技术课程分层教学研究与实践

随着机器人流程自动化(Robotic Process Automation,RPA)的发展势头越来越猛烈,高校为满足企业对RPA人才的需求纷纷开设相关课程。如何为高职院校提供一种尊重学生差异的RPA新技术课程教学方式,是当前亟须解决的问题之一。通过分析生源特点、学生需求以及RPA课程目前在高职院校的开设情况,提出基于RPA新技术课程的分层教学模式。并在RPA课堂中探索实践该教学模式的可行性,阐述分层确立教学目标、建立分层教学资源、分层教学实施和分层教学评价的全过程。

智能财务系统中的RPA应用与效益评估分析

阐述RPA技术在智能财务系统中的应用,包括在数据录入、报表生成、账单管理、税务处理方面的应用。分析RPA技术在智能财务系统中的优势和效益,对智能财务系统效益评估的作用。

基于RPA技术的优惠商品信息实时收集平台研究

随着电子商务的蓬勃发展和各种购物平台的涌现,商品信息的数量和种类呈现爆炸式增长,给用户带来了巨大的信息搜索压力。面对海量的商品数据,用户在网购时获取商品信息的效率不高,并在比对商品价格时耗费大量的精力,为此文章提出一种基于RPA技术的优惠商品信息实时收集平台,采用RPA机器人流程自动化技术实时抓取各个购物平台的商品信息(价格、优惠信息和用户评价等),并进行信息整合和数据可视化,从而为用户提供更多的选择和参考,帮助他们做出明智的购物决策,极大地提升了用户的购物体验和满足感。

基于“AI+RPA”的投资审计数据治理框架构建研究

数字化环境下,多源异构的海量数据给投资审计数据标准化带来了新的挑战,进一步加大了数据采集、清理、转换、利用的难度,严重影响投资审计质量。如何推进投资审计实务与大数据技术融合发展,加大数据资源集中管理力度,构建统一共享的审计数据综合治理框架,实现覆盖数据治理全过程的可视化、智能化审计模式,成为当前投资审计数据治理的主要发展方向。针对投资审计数据治理现存痛点,探究人工智能和机器人流程自动化技术在审计数据治理全生命周期中的应用模式,以期促进审计数据资源归集、提高审计数据标准化程度、创新审计数据融合分析与共享交换机制,为实现数据治理流程自动化提供新思路。

RPA流程标准化定义与设计

为解决机器人流程自动化(Robotic Process Automation,RPA)领域缺乏统一流程描述方法的问题,文中提出了一种用于定义和描述RPA流程的规范,主要包括RPA流程中的各类对象,可用于分析复杂RPA应用场景;同时,为更好地定义与描述工作流系统的流程,并解决RPA领域暂无流程建模标准而导致的流程脚本不兼容问题,以业务流程模型和符号(Business Process Model and Notation,BPMN)标准为基础,定义了一套RPA流程建模符号及标签系统。最后,以一种银行系统的典型业务流程为例,展示了使用该规范定义与描述此业务流程的结果,并使用Petri网进行了流程的正确性证明。

数字化转型中RPA技术与配网抢修工单监控的融合应用

机器人流程自动化技术可以将人机交互的业务进行脚本化设计,通过逐一执行自动访问、执行、记录等模块化的功能,高效解决重复、复杂的流程,能够节约人工成本并可靠的完成既定任务。对RPA(Robotic process automation)技术进行了研究,分析其自动化执行工作流程的工作原理,针对配网抢修工单监控业务进行RPA开发,设计一套可定时触发轮询监控工单状态的RPA脚本。通过推广应用验证了所设计的配网工单监控RPA机器人的可行性,为进一步推广研究RPA技术提供参考。

基于RPA的用电信息采集系统自动补召功能研发

将RPA与用电信息采集系统结合,研发了一套基于用电信息采集系统的开发流程,实现对每日实时采集失败的专公变进行自动补召,并利用RPA机器人模拟人工执行程序化操作任务,减少人力投入,大幅缩减供电所员工采集补召时间,实现数字基层、降本增效的目的。

一种新的基于隐喻地图的RPA路径规划算法

智能化地制定机器人流程自动化(robotic process automation, RPA)执行路径有利于企业节约相关人力成本以及提高RPA的推广,提出基于改进深度双Q网络(double deep Q-learning algorithms, DDQN)算法进行RPA路径规划。首先针对存在RPA的作业环境即Web页面,不满足深度增强算法的探索条件的问题,借助隐喻地图的思想,通过构建虚拟环境来满足路径规划实验要求。同时为了提高DDQN算法探索效率,提出利用样本之间的位置信息的杰卡德系数,将其作为样本优先度结合基于排名的优先级(rank-based prioritization)构建新的采样方式。通过随机采用任务样本在虚拟环境上进行验证,证明其符合实验要求。进一步比较改进DDQN、深度Q网络(deep Q network, DQN)、DDQN、PPO以及SAC-Discrete算法的实验结果,结果显示改进算法的迭代次数更少、收敛速度更快以及回报值更高,验证了改进DDQN的有效性和可行性。

RPA研究热点与研究趋势分析

基于2018-2022年中国知网期刊数据库,以“RPA”“流程自动化”“机器人流程自动化”为主题检索词检索的符合研究主题的93篇文章有研究对象,利用Citespace(引文空间)软件对研究对象的关键词聚类研究热点、研究趋势等方面进行分析。分析发现:RPA相关研究时间起步在2018年,研究热点主要聚焦在RPA软件应用、RPA研发设计两个方面,核心期刊上相关研究文献数量较少,相关研究不够深入,应用研究领域不够宽泛。

RPA机器人流程自动化技术在企业中的应用研究

机器人流程自动化(Robotic Process Automation,RPA)成为各行各业数字化转型的重要技术,具有显著的降本增效作用。在日常信息化系统操作中,存在许多重复低价值的操作,极大地影响了工作效率。文章从RPA技术入手,从机器人流程自动化市场应用前景出发,分析国内外RPA技术研究现状,并基于实际案例,分析企业开展RPA项目的过程及成效。

基于RPA+BIM的建筑机房远程运维技术应用研究

建筑机房运行管理是建筑运维的重要内容,传统建筑机房运维中大量简单重复性的工作需要人工完成。对此在深入分析建筑机房运维需求的基础上,提出将软件机器人技术(RPA)与建筑信息模型(BIM)进行融合,研发基于RPA+BIM的建筑机房远程运维管理平台,用于提升建筑机房运维工作的自动化和远程化能力,减轻建筑机房运行管理的工作强度。在实验项目的应用中表明,相比传统建筑机房运维平台应用其代码复用率达80%,逆向建模效率提升约40%,其建筑机房运维作业远程操作的数字孪生交互能力强,建筑机房巡检能力提升约4倍。

面向供电企业的RPA机器人关键技术研究

为了解决由于供电企业中数据较多导致的各类数据检索时需要耗费较长的时间,将RPA应用到供电企业中,并研究RPA机器人关键技术,提出RPA机器人软件架构。在此基础上,设计RPA机器人关键技术。实验结果表明,所研究技术下海量用电数据统计耗时短、数据检索时间短、异常数据检索时间短,应用效果较好。

RPA在费用报销当中的应用--以农业企业为例

随着“大数据”、“财务机器人”等智能化技术的发展,衍生出许多智能化的财务管理软件,各个行业都在尝试在日常的财务管理上引进RPA机器人的运用,帮助企业向智能化管理转型。农业企业作为传统企业,日常财务管理仍然存在发展落后的地方,尤其以费用报销为典型,存在工作重复、繁琐、错误率较高等问题。所以如果农业企业能够引进RPA财务机器人,将有效解决以上问题。本文将探讨RPA财务机器人在农业企业的费用报销中的应用,以及其限制。

Early Detection of Heartbeat from Multimodal Data Using RPA Learning with KDNN-SAE

Heartbeat detection stays central to cardiovascular an electrocardiogram(ECG)is used to help with disease diagnosis and management.Existing Convolutional Neural Network(CNN)-based methods suffer from the less generalization problem thus;the effectiveness and robustness of the traditional heartbeat detector methods cannot be guaranteed.In contrast,this work proposes a heartbeat detector Krill based Deep Neural Network Stacked Auto Encoders(KDNN-SAE)that computes the disease before the exact heart rate by combining features from multiple ECG Signals.Heartbeats are classified independently and multiple signals are fused to estimate life threatening conditions earlier without any error in classification of heart beat.This work contained Training and testing stages,in the preparation part at first the Adaptive Filter Enthalpy-based Empirical Mode Decomposition(EMD)is utilized to eliminate the motion artifact in the signal.At that point,the robotic process automation(RPA)learning part extracts the effective features are extracted,and normalized the value of the feature then estimated utilizing the RPA loss function.At last KDNN-SAE prepared training for the data stored in the dataset.In the subsequent stage,input signal compute motion artifact and RPA Learning the evaluation part determines the detection of Heartbeat.So early diagnosis of heart failures is an essential factor.The results of the experiments show that our proposed method has a high score outcome of 0.9997.Comparable to the CIF,which reaches 0.9990.The CNN and Artificial Neural Network(ANN)had less score 0.95115 and 0.90147.

Maximizing the Efficiency of Automation Solutions with Automation 360: Approaches for Developing Subtasks and Retry Framework

I present a solution that explores the use of A360 subtasks as a comparable concept to functions in programming. By leveraging subtasks as reusable and maintainable functions, users can efficiently develop customized high-quality automation solutions. Additionally, the paper introduces the retry framework, which allows for the automatic retrying of subtasks in the event of system or unknown exceptions. This framework enhances efficiency and reduces the manual effort required to retrigger bots. The A360 Subtask and Retry Framework templates provide valuable assistance to both professional and citizen developers, improving code quality, maintainability, and the overall efficiency and resiliency of automation solutions.

RPA机器人在电力营销业务应用中的实践

在电网企业基层员工日常工作中,在各类系统中推进各项流程任务、不同系统调取数据并产生新的数据报表或报告,以及面对海量数据面前完成数据分析校对是日常耗时常规工作。原因在于电网企业内部存在多种系统应用的割裂感、业务断点多、数据共享困难等问题。在电网企业推进数字化企业转型的浪潮下,帮助基层人员减负,提高员工效率和积极性才能更好完成工作。而RPA技术正在旨在解决繁杂低效、耗时耗力任务的重要手段,用好RPA技术,推进电网企业数字化转型已经成为大势所趋。同时,打通数字化系统壁垒是电网企业实现末端融合、数字化转型的最终目标。

基于RPA的物资订单合同智能签约研究应用

目前物资订单合同签订完全依赖人工处理,工作量庞大,需投入大量人力、财力保障合同签订时效及质量。基于人工处理模式进行业务优化调整,梳理合同签订操作流程。并结合RPA机器人的概念和特点提出利用RPA机器人减轻员工的劳动负荷,提高合同签订效能。本文基于RPA机器人的特点,梳理物资订单合同签订全流程业务,通过RPA的核心技术研究应用:基于文本的精确识别定位、基于索引ID的精确识别定位、基于自动索引ID的模糊识别定位、基于锚点的辅助识别定位、基于计算机视觉的图片识别的研究应用、RPA配置大脑等多种核心技术集成实现合同智能签约,最后阐述了RPA合同机器人的应用价值。