Research and application of artificial intelligence service platform for the power field

Conventional analysis methods cannot fully meet the business needs of power grids.At present,several artificial intelligence (AI) projects in a single business field are competing with each other,and the interfaces between the systems lack unified specifications.Therefore,it is imperative to establish a comprehensive service platform.In this paper,an AI platform framework for power fields is proposed;it adopts the deep learning technology to support natural language processing and computer vision services.On one hand,it can provide an algorithm,a model,and service support for power-enterprise applications,and on the other hand,it can provide a large number of heterogeneous data processing,algorithm libraries,intelligent services,model managements,typical application scenarios,and other services for different levels of business personnel.The establishment of the platform framework could break data barrier,improve portability of technology,avoid the investment waste caused by repeated constructions,and lay the foundation for the construction of "platform + application + service" ecological chain.

Research on the Design and Application of Virtual and Real Integrated Training Platform Based on Intelligent Manufacturing

In this paper,we built a robot training platform using virtual simulation software,and the robot assembly,handling,and palletizing were realized.The workstation includes an industrial robot,gas control unit,track function module,assembly function module,palletizing function module,vision module,etc.,and robot movement is achieved through language programming.The platform provides conditions for the practical ability training of application-oriented talents.

Design and Implementation of Cloud Platform for Intelligent Logistics in the Trend of Intellectualization

Intellectualization has become a new trend for telecom industry, driven by intelligent technology including cloud computing, big data, and Internet of things. In order to satisfy the service demand of intelligent logistics, this paper designed an intelligent logistics platform containing the main applications such as e-commerce, self-service transceiver, big data analysis, path location and distribution optimization. The intelligent logistics service platform has been built based on cloud computing to collect, store and handling multi-source heterogeneous mass data from sensors, RFID electronic tag, vehicle terminals and APP, so that the open-access cloud services including distribution, positioning, navigation, scheduling and other data services can be provided for the logistics distribution applications. And then the architecture of intelligent logistics cloud platform containing software layer(SaaS), platform layer(PaaS) and infrastructure(IaaS) has been constructed accordance with the core technology relative high concurrent processing technique, heterogeneous terminal data access, encapsulation and data mining. Therefore, intelligent logistics cloud platform can be carried out by the service mode for implementation to accelerate the construction of the symbiotic win-winlogistics ecological system and the benign development of the ICT industry in the trend of intellectualization in China.

A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain

The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules, The driving map used in intelligent vehicle test platform has no uniform standard, which leads to different granularity of driving map information, The sensor information processing module is directly associated with the driving map information and decision-making module, which leads to the interface of intelligent driving system software module has no uniform standard, Based on the software and hardware architecture of intelligent vehicle, the sensor information and driving map information are processed by using the formal language of driving cognition to form a driving situation graph cluster and output to a decision-making module, and the out- put result of the decision-making module is shown as a cognitive arrow cluster, so that the whole process of intelligent driving from perception to decision-making is completed, The formalization of driving cognition reduces the influence of sensor type, model, quantity, and location on the whole software architec- ture, which makes the software architecture portable on different intelligent driving hardware platforms.

Exploration and Application of Ubiquitous Mapping in Engineering Practice Courses in the Intelligence Age

In the current era of digital surveying and mapping to intelligent surveying and mapping,ubiquitous surveying and mapping has brought many opportunities and challenges to college engineering course teaching.With the development of ubiquitous surveying and mapping,college engineering practice courses urgently need to respond to ubiquitous surveying and mapping.The research aims to integrate the development of ubiquitous surveying and mapping into the teaching of engineering practice courses in colleges,including promoting Android,Brower/Server(B/S),and Client/Server(C/S)to build a platform for practice courses.This also incorporates real development cases in measurement data processing such as gravity field refinement.In this way,the teaching level of engineering practice courses in colleges can be improved,and new ideas can be put forward for cultivating surveying and mapping talents in the new era in colleges.Finally,it can also provide new ideas for the organization of surveying and mapping practice courses under the background of the pandemic.

The Client/server-based Distributed Architecture of a CIM Intelligent Integrating Platform

Information integrating platform is a basic supporting environment based on informationtechnology for a CIM(Computer Integrated Manufacturing)system.There are some prob-lems to solve in the research and development of the platform,such as the type of informa-tion processed in the platform and the distribution strategy of the platform system.This pa-per introduces a plan of an intelligent information integrating platform for CIM system basedon the client/server architecture,named I3P.The architecture,organization and detailed de-sign of services in I3P are also described.

Intelligent decision support platform of new energy vehicles

New energy vehicles(NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability,the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

基于三维运动捕捉技术构建蒙医震脑术三维虚拟仿真平台的视觉呈现

背景:基于三维运动捕捉技术可以构建精准的、客观量化的医学虚拟仿真模型,有利于临床学习者精准、深入理解和掌握各种传统疗术。目前中医虚拟仿真模型已有报道,但蒙医传统疗术的虚拟仿真模型尚未见报道。目的:构建一种基于三维运动捕捉技术的交互式三维可视化的蒙医震脑术虚拟仿真模型。方法:使用Motion Analysis三维光学运动捕捉系统和足底测力台采集蒙医专家的运动捕捉数据,在Motion Builder软件中构建震脑术三维动作模型,使用Maya软件构建角色模型并与动作模型相匹配,运动Unity3D软件构建蒙医震脑术虚拟仿真系统,系统整合蒙医震脑术操作3D动画、运动学和动力学参数信息。结果与结论:通过三维运动捕捉技术和计算机仿真重现蒙医震脑术操作,能够显示施术者和受试者的运动姿态,记录关节运动的关键空间位置参数与变化情况,得出运动过程中的运动学、动力学参数。运用交互式三维虚拟仿真技术,实现蒙医震脑术的三维虚拟仿真的视觉呈现,为蒙医震脑术手法的标准化、数字化、可视化研究奠定基础。

智慧健康管理平台设计

智慧健康管理是解决公共健康问题的重要对策,本研究针对我国突出的健康问题,基于三级甲等医院的优质医疗资源,构建智能医学知识库和模型库,研发智慧健康管理平台。通过健康自测、风险预测、健康教育、健康评估、智能咨询、综合干预、签约医生服务等智能辅助功能,支撑对40种法定传染病的早期监测和预警,实现对常见的260种疾病的智能化管理;平台的健康评估、智能咨询、综合干预、签约医生服务面向参保人群开放,通过这些功能实现健康评价、健康分类管理、个性化健康计划、健康干预等全流程服务管理,为改善健康状况、降低疾病发病率、提升健康水平提供帮助。

云控制水肥药械智能监控平台的设计与实现

随着我国农业现代化水平的提高,以水肥药械为核心的现代农业服务体系成为未来行业发展的方向。为此,采用B/S结构模式,使用Django框架,选用MySQL数据库,设计并实现了一种云控制水肥药械智能监控平台。平台拥有完善的机构、数据交互、用户和权限等管理功能,可实现水肥药械的数字化管理;嵌入了基于Bi-LSTM与LightGBM融合的参考作物蒸散量预测方法,可实现对作物灌溉的实时预测;增加了作物施肥计算公式以及施肥用药数据库,可为用户对肥、药的施用提供科学的参考依据。实际运行及性能测试结果表明:平台的架构和模块设计合理,功能较全面和灵活,可有效满足设施园区对于水肥药械的管理需求,推动现代化农业发展。

Global WWTP Microbiome-based Integrative Information Platform:From experience to intelligence

Domestic and industrial wastewater treatment plants(WWTPs)are facing formidable challenges in effectively eliminating emerging pollutants and conventional nutrients.In microbiome engineering,two approaches have been developed:a top-down method focusing on domesticating seed microbiomes into engineered ones,and a bottom-up strategy that synthesizes engineered microbiomes from microbial isolates.However,these approaches face substantial hurdles that limit their real-world applicability in wastewater treatment engineering.Addressing this gap,we propose the creation of a Global WWTP Microbiome-based Integrative Information Platform,inspired by the untapped microbiome and engineering data fromWWTPs and advancements in artificial intelligence(AI).This open platform integrates microbiome and engineering information globally and utilizes AI-driven tools for identifying seed microbiomes for new plants,providing technical upgrades for existing facilities,and deploying microbiomes for accidental pollution remediation.Beyond its practical applications,this platform has significant scientific and social value,supporting multidisciplinary research,documenting microbial evolution,advancing Wastewater-Based Epidemiology,and enhancing global resource sharing.Overall,the platform is expected to enhance WWTPs’performance in pollution control,safeguarding a harmonious and healthy future for human society and the natural environment.

基于BIM技术的基坑智能监测技术研究

基坑边坡的不安全性常导致工程事故发生,深基坑作为建设工程施工危险部位重大专项,确保基坑的安全监测和报警的及时性非常重要。文章基于BIM技术如何实现快速高效及时报警进行了分析。通过智能传感器采集数据进行无线传输至云平台,平台解析数据与BIM基坑模型自动匹配,对测点部位的位移、土压力进行动态监测,当超过预警值后自动传输报警信息,为工程危险源的及时处理提供决策依据。文章基于BIM技术的深基坑监测技术通过在天柱山管廊项目进行应用,取得了良好的安全经济效益。

Research and Application of Multi-level Diverse Intelligent Algorithm Library Based on Artificial Intelligence Computing Platform

At present,artificial intelligence computing platforms are usually based on cloud hosts for services,which have the characteristics of fast training speed and a wide variety of model types.However,the online models of such platforms mostly adopt the form of downloading model files,which is difficult to integrate into traditional software system systems.In response to existing problems,this paper takes the relevant theoretical technologies of next-generation intelligent computing platforms as the development framework,and conducts research on the diversity of multi-level intelligent computing requirements,by implementing a universal algorithm model construction and automatic integration mechanism;Build a multi domain and multi-level application algorithm library for different application scenarios;Design a personalized algorithm recommendation based on knowledge reasoning and object-oriented approach,and build an emerging intelligent computing platform for analyzing and understanding real-world data,meeting the needs of complex engineering application software such as heavy backend,light frontend,loose coupling,microservices,etc.,providing theoretical and technical support for innovative big data services and applications with diverse computing requirements.

Integrated and Intelligent Manufacturing： Perspectives and Enablers

With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership （AMP） in 2011 and the National Network for Manufacturing Innovation （NNMI） in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further ＂leverage existing resources... to nurture manufacturing innovation and accelerate commercialization＂ by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10- year plan and roadmap toward manufacturing： Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features： integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing （i2M） systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Intemet of Things and Services （IoTS）, cyber-physical systems （CPSs）, and cloud computing are discussed. Challenges are addressed with applica- tions that are based on commercially available platforms such as General Electric （GE）＇s Predix and PTC＇s ThingWorx.

Cloud Control System Architectures,Technologies and Applications on Intelligent and Connected Vehicles:a Review

The electrification of vehicle helps to improve its operation efficiency and safety.Due to fast development of network,sensors,as well as computing technology,it becomes realizable to have vehicles driving autonomously.To achieve autonomous driving,several steps,including environment perception,path-planning,and dynamic control,need to be done.However,vehicles equipped with on-board sensors still have limitations in acquiring necessary environmental data for optimal driving decisions.Intelligent and connected vehicles(ICV)cloud control system(CCS)has been introduced as a new concept as it is a potentially synthetic solution for high level automated driving to improve safety and optimize traffic flow in intelligent transportation.This paper systematically investigated the concept of cloud control system from cloud related applications on ICVs,and cloud control system architecture design,as well as its core technologies development.Based on the analysis,the challenges and suggestions on cloud control system development have been addressed.

Key Technologies and Development Trends in Advanced Intelligent Sawing Equipments

As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided.

Generic Attribute Scoring for Information Decay in Threat Information Sharing Platform

Cyber Threat Intelligence(CTI)has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks.The information exchange and collaborative sharing through different platforms have a significant contribution towards a global solution.While CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations,there exists a great challenge ineffective processing of large count of different Indicators of Threat(IoT)which appear regularly,and that can be solved only through a collaborative approach.Collaborative approach and intelligence sharing have become the mandatory element in the entire world of processing the threats.In order to covet the complete needs of having a definite standard of information exchange,various initiatives have been taken in means of threat information sharing platforms like MISP and formats such as SITX.This paper proposes a scoring model to address information decay,which is shared within TISP.The scoring model is implemented,taking the use case of detecting the Threat Indicators in a phishing data network.The proposed method calculates the rate of decay of an attribute through which the early entries are removed.

Undergraduate Experimental Teaching Platform for Intelligent Limb Rehabilitation Training Based on "Medical-Engineering Interdisciplinary Crossing"

In view of the key role of undergraduate experimental teaching reform in cultivating high-quality talents with both innovative spirit and practical ability,this paper deeply discusses multi-dimensional reform strategies.Specifically,the teaching mode of"double teachers for every student"is innovatively introduced,and scientific research projects are deeply integrated into undergraduate experimental teaching,aiming at realizing the modern development of teaching content and the diversified expansion of teaching methods.By designing and applying the undergraduate experimental teaching platform for intelligent limb rehabilitation training based on the concept of"medical-engineering interdisciplinary crossing",it not only builds a bridge for students to contact cutting-edge scientific research and strengthen practical skills,but also provides valuable ideas and practical models for the innovation of undergraduate experimental teaching.In the future,with the continuous optimization and upgrading of platform functions,it is expected to provide students with a richer and richer learning experience and comprehensively promote students'overall quality.

Design and Study of Could Platform Based Sampling Control and Management System

In view of the demand for intelligent and information-based management of sampling points for agricultural environmental monitoring,taking the cloud platform as the information carrier,combined with the advantages of GIS development interface technology on the Web side and intelligent handheld system development technology,the overall structure of the sample deployment control collection and sampling management system was designed,and a program flow method for the accurate perception of sampling points and the secondary evaluation of spare sampling points caused by geographic factors was proposed.It is expected to realize the intelligent and information-based sampling work from deployment to collection,and effectively increase the work efficiency.In addition,it is expected to provide a good data interface program for the input and output of related information at the Internet of Things(IoT)level for subsequent related data research.

A Study on the College English Learning Strategies Based on Intellectual Teaching Platforms

Taking Leshan Normal University as an example,the investigation has been conducted in this paper on the use of learning strategies of more than 3,000 non-English majors in the process of English learning.Based on the analysis of the survey results,this paper discusses the necessity of college English learning strategy cultivation under the new situation,focusing on the cultivation approaches to college English learning strategy through intelligent teaching platforms,aiming to cultivate student’s awareness of using learning strategies,strengthen their according ability,and improve their English level.