The safety parameters monitoring system for the coal mine based on CAN bus communication and intelligent data acquisition

In this paper,a monitoring and controlling system for the safety in production and environmental parameters of a small and medium-sized coal mine has been developed after analyzing the current domestic coal production and security conditions. The client computer can convert the analog signal about the safety in production and environmental parameters detected from the monitoring terminal into digital signal,and then,send the signal to the coal mine safety monitoring centre. This information can be analyzed,judged,and diagnosed by the monitoring-management-controlling software for helping the manager and technical workers to control the actual underground production and security situations. The system has many advantages including high reliability,better performance of real-time monitoring,faster data communicating and good practicability,and it can effectively prevent the occurrence of safety incidents in coal mines.

Urban Big Data and the Development of City Intelligence

This study provides a definition for urban big data while exploring its features and applications of Chi- na＇s city intelligence. The differences between city intelligence in China and the ＂smart city＂ concept in other countries are compared to highlight and contrast the unique definition and model for China＇s city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intel- ligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China＇s urban big data. Considering the supporting and core role that urban big data plays in city intel- ligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China＇s urban de- velopment. In conclusion, it is imperative that China make full use of its unique advantages-including using the nation＇s current state of development and resources, geographical advantages, and good hu- man relations-in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

基于AI的多模态融合感知综合决策系统设计实现

针对传统军事要地安防系统智能化程度较低,各自独立互不关联,缺少顶层数据综合治理等问题,选取外围周界、重要卡口、无人巡更和区域高点四种典型安防业务场景开展建模,通过数据标准化接入、智能研判分析、安防态势显示三个处理环节,构建基于AI的多模态融合感知综合决策系统,实现前端感知多维化、中台研判智能化、后端处置多样化,有效支撑了重要军事目标安全防卫,系统后续也具有良好的可扩展性与可维护性。

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 Trusted NUMFabric Algorithm for Congestion Price Calculation at the Internet-of-Things Datacenter

The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it is difficult to predict the congestion state of the link-end accurately at the source.In this paper,we presented an improved NUMFabric algorithm for calculating the overall congestion price.In the proposed scheme,the whole network structure had been obtained by the central control server in the Software Defined Network,and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.In this scheme,the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information.Based on the historical data,the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm.The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm.We evaluate this evolved NUMFabric algorithm in NS3,which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters.

An Intelligent Graph Edit Distance-Based Approach for Finding Business Process Similarities

There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process models.The similarity between two process models is computed based on their similarity between labels,structures,and execution behaviors.Several attempts have been made to develop similarity techniques between activity labels,as well as their execution behavior.However,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between them.However,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural similarity.To that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the models.Furthermore,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label differences.Finally,we have evaluated the proposed approach using our generated collection of process models.

ZTE Communications Special Issue on Data Intelligence

The new ear of AI is brought about by three converging forces:the advance of AI algorithms,the availability of big data,and the increasing popularity of high performance computing platforms.Data-driven intelligence,or data intelligence,is a new form of AI technologies that leverages the

ZTE Communications Special Issue on Data Intelligence

The new ear of AI is brought about by three eonverging forees： the advanee of AI algorithms, the availability of big data, and the inereasing popularity of high performanee computing platforms. Data-driven intelligenee, or data intelligenee, is a new fore1 of AI teehnologies that leverages the power of big data.

The Design and Implementation of the Data Buffer Unit in an Artificial intelligence Computer ITM-1

This paper describes the function,structure and working status of the data buffer unitDBU,one of the most important functional units on ITM-1.It also discusses DBU’s supportto the multiprocessor system and Prolog language.

International Papers Contribution on Artificial Intelligence Promotes the Application and Development of Big Data in the Petroleum Industry

Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain human thought processes and intelligent behaviors(such as learning,reasoning,thinking,planning,etc.),and produces a new type of intelligent machine that can respond in a similar way to human intelligence.In the past 30 years,it has achieved rapid development in various industries and related disciplines such as manufacturing,medical care,finance,and transportation.

通信网络的监控与优化平台在新媒体下的应用研究

在新媒体时代背景下,通信网络监控与优化平台面临着新的挑战与机遇。文章研究了在新媒体环境下,通信网络监控与优化平台的应用与发展。首先,分析新媒体给通信网络带来的流量变化、用户需求多样性以及实时性要求等特点,进而探讨监控与优化平台如何适应这些变化。其次,研究监控与优化平台在新媒体下的关键技术,包括大数据分析、人工智能算法等。这些技术为平台的智能化、自动化和高效化提供了有力支持。最后,通过实际案例分析监控与优化平台在新媒体领域的应用效果,展示其在提升网络性能、优化用户体验以及保障信息安全等方面的积极作用。文章研究对于推动通信网络监控与优化平台在新媒体时代的发展具有重要的参考价值。

大数据驱动的大学创新创业课程智能化研究

文章深入探讨了大数据支持下大学创新创业课程智慧化建设的重要性、必要性,并立足高校创新创业课程教学、智慧教育、大数据技术应用实践,细化完善了大数据支持下大学创新创业课程智慧化建设策略:加强创新创业课程教学管理,强化创新创业课程数据梳理,建构创新创业课程数据模型等,以期为提升我国大学生创新创业教育质量提供理论支持和实践参考。

传感数据:智能时代学习分析的新视角

智能时代,各种智慧教育场所、移动智能终端和可穿戴设备中应用的传感技术可以对学习者的生理特征、行为动作及学习场所等相关数据进行捕捉,使学习者“身体”重新回归到教育者视野,并通过低倾入性的方式采集真实情境中的序列数据,为实现全方位、情境性和过程性的学习分析提供条件。当前,在教育实践中,传感数据已逐步应用于认知监测、行为分析、情感识别以及自适应情境学习等方面,为智能化学习分析与评价提供了良好支持。随着技术与实践的发展,学习分析中的传感技术将从“有感”走向“无感”,传感设备将从单一设备转变为集成系统,应用目的将从对学习过程的合理解释走向精准干预,并从实验研究走向多样化实践。在传感数据应用于学习分析的实践中,教育部门、研究机构和企业应共同努力,以应对理论基础、技术成本和伦理隐私等方面的挑战。

基于云平台的生产指挥可视化平台设计及实现

为克服以往油田生产指挥系统信息化建设中存在的协同能力差、应用效率低和处理能力弱等不足,基于已有的梦想云平台,以“运行可视化、管控智能化、指挥现代化”为总体目标,以中国石油天然气股份有限公司塔里木油田分公司的实际生产运行管理为应用实例,设计实现了一种新型的油田生产指挥可视化平台。首先进行平台架构设计,分别是平台的总体架构、功能架构、数据架构和技术架构;接着阐述平台采用的关键技术,具体包括云平台、数据湖、可视化技术和智能分析技术;最后基于Java语言和Oracle12c数据库,实现了生产指挥可视化平台,给出了其在塔里木油田的具体应用。油田生产指挥可视化平台的相关研究成果在推进油田生产管理转型升级、提升油田生产管控模式和管控能力的现代化水平方面具有重要意义,并为探索建设可视化、智慧化的管理模式提供了有益的借鉴。

The Logic of Digital Finance in the Age of Digital Economy

This paper explores the development logic,trends,and challenges of digital finance in the era of the digital economy.As a crucial component of the digital economy,digital finance has completely transformed the traditional financial services model through factors such as technological innovation,data intelligence,and personalized user experiences,paving the way for new business models and market opportunities.However,the rapid development of digital finance also faces challenges such as competition,security,and regulation.This paper emphasizes the importance of finding a balance between innovation and security in the development of digital finance and discusses the potential of digital finance in promoting financial inclusion and sustainable development.Through comprehensive analysis,this paper aims to provide valuable insights for academic researchers and industry practitioners,promoting the healthy development of digital finance.

区域卫生信息平台助力统计工作智能化转变的探索与实践

目的探索和实现区域卫生信息平台在推动统计工作方式转变、提高统计工作智能化水平方面的应用。方法通过文献综述、需求调研、案例分析、专家咨询等方法,完成统计指标梳理、接口设计、数据对接;通过基于全民健康信息平台的数据采集和汇聚,实现数据的实时更新和质量控制。结果实现了数据的自动采集、平台交换和实时推送,对广州全市494家医疗卫生机构上报的数据进行自动清洗和质控,生成295个统计指标;完成了医疗机构前置机数据对接接口标准的建设,实时更新门急诊、住院、重症等数据。结论通过区域卫生信息平台实现了部分统计数据的自动化采集和整合,提高了数据采集和整合效率,提升了数据分析与挖掘能力,可以更好地为科学决策、行业治理提供支持。

乡村振兴背景下数字农业对经济的影响研究

以乡村振兴为背景,分析了数字农业对促进农业经济发展的作用,包括降低农业生产成本,提升农产品质量,提高农产品流通效率,促进产业融合,以及提升乡村治理水平。针对农业基础设施、农业人才队伍和数字农业技术3个方面,对数字农业发展现状展开分析。探讨数字农业发展的有效途径,包括加强网络信息技术基础设施建设,建立完善的数字农业全产业链体系,培养复合型人才,以及加强技术研发和推广应用。旨在通过数字农业技术促进乡村经济发展,提升生活水平,助推乡村产业发展。

大智移云时代面向新财经会计人才培养体系生态系统的构建

随着“四新”建设的推进,“新财经”已然成为大智移云的新时代财经教育的关键着力点。大智移云时代财务工作发生了颠覆性变革,跨界融合是必然趋势。文章探讨当前会计人才培养面临的新挑战,会计学科如何紧跟时代步伐,构建一个多学科跨界融汇和多要素互动融通新财经会计人才培养体系生态系统,以适应大智移云时代对财经会计人才的需求。

基于大数据的周口港智能化发展策略研究

随着国家和河南省层面推出越来越多利好内河港口发展的政策,周口港作为河南省第一大内河港口,正处在突飞猛进的发展阶段。但周口港在智能化推进方面还面临不少挑战,针对周口港的智能化发展提出了建设港口数据中台的策略,旨在统筹整合港区内外所有环节的数据采集、存储、分析及应用全过程,为港口的发展运营降本增效。

粮库智能化氮气气调系统开发与应用分析

粮库中智能化氮气气调系统主要采用智能决策及控制的方法,对粮库制氮充氮气调监测全过程进行智能化控制,可自动监测单仓、多仓气体浓度和仓压,并智能联动仓内多模式充氮气调。因此,本文分析了粮库智能化氮气气调系统的开发及应用,以供参考。