Real-time collaborative design based on operation semantics in distributed CAD environment

This paper proposes a collaborative design model based on operation semantics in a distributed computer-aided design (CAD) environment. The goal is to reduce time consumption in data format conversion and the requirement of network bandwidth so as to improve the cooperative ability and the synchronization efficiency. Firstly, real-time collaborative design is reviewed and three kinds of real-time collaborative design models are discussed. Secondly, the concept of operation semantics is defined and the framework of an operation semantics model is presented. The operation semantics carries the original design data and actual operation process to express design intent and operation activity in conventional CAD systems. Finally, according to the operation semantics model, a CAD operation primitive is defined which can be retrieved from and mapped to the local CAD system operation commands; a distributed CAD collaborative architecture based on the model is presented, and an example is given to verify the model.

Quantitative evaluation of multi-process collaborative operation in steelmaking–continuous casting sections

The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking–continuous casting sections(SCCSs). However, this evaluation is difficult since it relies on an in-depth understanding of the operating mechanism of SCCSs, and few existing methods can be used to conduct the evaluation, due to the lack of full-scale consideration of the multiple factors related to the production operation. In this study, three quantitative models were developed, and the multiprocess collaborative operation level was evaluated through the laminar-flow operation degree, the process matching degree, and the scheduling strategy availability degree. Based on the evaluation models for the laminar-flow operation and process matching levels, this study investigated the production status of two steelmaking plants, plants A and B, based on actual production data. The average laminar-flow operation(process matching) degrees of SCCSs were obtained as 0.638(0.610) and 1.000(0.759) for plants A and B, respectively, for the period of April to July 2019. Then, a scheduling strategy based on the optimization of the furnace-caster coordinating mode was suggested for plant A. Simulation experiments showed higher availability than the greedy-based and manual strategies. After the proposed scheduling strategy was applied,the average process matching degree of the SCCS of plant A increased by 4.6% for the period of September to November 2019. The multi-process collaborative operation level was improved with fewer adjustments and interruptions in casting.

Optimal operation of cold–heat–electricity multi-energy collaborative system based on price demand response

In a multi-energy collaboration system, cooling, heating, electricity, and other energy components are coupled to complement each other. Through multi-energy coordination and cooperation, they can significantly improve their individual operating efficiency and overall economic benefits. Demand response, as a multi-energy supply and demand balance method, can further improve system flexibility and economy. Therefore, a multi-energy cooperative system optimization model has been proposed, which is driven by price-based demand response to determine the impact of power-demand response on the optimal operating mode of a multi-energy cooperative system. The main components of the multi-energy collaborative system have been analyzed. The multi-energy coupling characteristics have been identified based on the energy hub model. Using market elasticity as a basis, a price-based demand response model has been built. The model has been optimized to minimize daily operating cost of the multi-energy collaborative system. Using data from an actual situation, the model has been verified, and we have shown that the adoption of price-based demand response measures can significantly improve the economy of multi-energy collaborative systems.

An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment

Based on an analysis of the operational control behavior of operation experts on energy-intensive equipment,this paper proposes an intelligent control method for low-carbon operation by combining mechanism analysis with deep learning,linking control and optimization with prediction,and integrating decision-making with control.This method,which consists of setpoint control,self-optimized tuning,and tracking control,ensures that the energy consumption per tonne is as low as possible,while remaining within the target range.An intelligent control system for low-carbon operation is developed by adopting the end-edge-cloud collaboration technology of the Industrial Internet.The system is successfully applied to a fused magnesium furnace and achieves remarkable results in reducing carbon emissions.

Autonomous process collaboration framework for C4ISR system interoperation

Interoperability plays an important role in the joint command, control, communication, computer, intelligence, surveillance, reconnaissance(C4 ISR) operations. Coordinating and integrating operational processes to fulfill a common mission are challenged by the ever-changing battlefield and hence requires a cross-organizational process management that produces an autonomous, flexible and adaptable architecture for collaborative process evolution. The traditional business process collaboration pattern is based on the predefined "public-view" perspective and cannot meet the requirement of the joint task operations. This paper proposes a flexible visibility control mechanism and a dynamic collaboration framework for modeling and generating collaborative processes. The mechanism allows collaborators to define a set of visibility rules to generate different views of the private processes for different collaborations, which gives a great flexibility for the collaboration initiator to decide on an appropriate collaboration pattern. The framework supports collaborators to dynamically and recursively add a new process or even a new organization to an existing collaboration. Moreover, a formal representation of the processes and a set of generation algorithms are provided to consolidate the proposed theory.

Docurity: A New Cryptographic Primitive for Collaborative Cloud Systems

Recently,there has been a sudden shift from using traditional office applications to the collaborative cloud-based office suite such as Microsoft Office 365.Such cloud-based systems allow users to work together on the same docu-ment stored in a cloud server at once,by which users can effectively collaborate with each other.However,there are security concerns unsolved in using cloud col-laboration.One of the major concerns is the security of data stored in cloud ser-vers,which comes from the fact that data that multiple users are working together cannot be stored in encrypted form because of the dynamic characteristic of cloud collaboration.In this paper,we propose a novel mode of operation,DL-ECB,for AES by which we can modify,insert,and delete the ciphertext based on changes in plaintext.Therefore,we can use encrypted data in collaborative cloud-based platforms.To demonstrate that the DL-ECB mode can preserve the confidential-ity,integrity,and auditability of data used in collaborative cloud systems from adversaries,we implement and evaluate the prototype of the DL-ECB mode.

Selecting suitable key supplier for core components during smart complex equipment central-private enterprises collaborative development process:from two different forms of evaluation information and matching perspective

With the development of central-private enterprises integration,selecting suitable key suppliers are able to provide core components for smart complex equipment.We consider selecting suitable key suppliers from matching perspective,for it not only satisfies natural development of smart complex equipment,it is also a good implementation of equipment project in central-private enterprises integration context.In in this paper,we carry out two parts of research,one is evaluation attributes based on comprehensive analysis,and the other is matching process between key suppliers and core components based on the matching attribute.In practical analysis process,we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows.In the analysis process,we adopt entropy-maximum deviation method(MDM)-decision-making trial and evaluation laboratory(DEMATEL)-technique for order preference by similarity to an ideal solution(TOPSIS)to obtain a comprehensive analysis.The entropy-MDM is applied to get weight value,DEMATEL is utilized to obtain internal relations,and TOPSIS is adopted to get ideal evaluated solution.We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean.Moreover,based on the aforementioned attributes and generalized power Heronian mean operator,we aggregate preference information to acquire relevant satisfaction degree,then combine the constructed matching model to get suitable key supplier.Through comprehensive analysis of selecting suitable suppliers,we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment.Through analysis for relevant factors,we find that leading role and service level are also significant for the smart complex equipment development process.

Study on Multi-enterprise Collaborative Resource Planning Based Process-oriented Decision Model

Aiming to share the information,knowledge and optimizing resource via collaborating with multiple external partners across their supply chains,the concept model and system framework of multi-enterprises collaborative resource planning (MECORP) are put forward.While there is Considerable pressure to improve the operation of MECORP system,their inherent complexity can make modelling a MECORP system a difficult task.Yet there could be considerable benefits in designing MECORP taking into account the operation of the system.In order to address the central research issue of developing of a methodology that can assist a manager in making decisions by modelling the operation of MECORP system.The methodology called process-oriented deci- sion model (PODM) is presented in the paper.This uses an abstracted network to model MECORP system.The MECORP system supported by PODM,can effective optimize the manifold resource,coordinate the relationship of multiple partners and assist deci- sion.Finally,an industry excample of MECORP system is described to illustrate the application of PODM.

Torpedo Overall Multidisciplinary Design Based on Collaborative Optimization

A torpedo multidisciplinary design optimization (MDO) based on the collaborative optimization is proposed. Through decomposition and coordination, some problems in torpedo design such as multidisciplinary coupling, large data volume and complex data relationships can be solved. Taking aim at some complex problems in the torpedo design, such as computation in multidisciplinary design, organization, modeling and information exchange, the collaborative optimization methods based on approximate technology are presented. An example to increase the torpedo range is also given. It demonstrates that the method can converge quickly, has higher reliability and smaller data throughput, and is a very effective MDO method.

Collaborative operation and application influence of sprinkler drip irrigation:A systematic progress review

Considering the high-quality requirements related to agricultural crop production,the collaborative operation and application influence of sprinkler drip irrigation is an important issue in precision agriculture.The objective of this review is to give a comprehensive demonstration focusing on the subject of collaborative operation and application influence of sprinkler drip irrigation,by using a set of comparative analysis and literature bibliometric maps,therefore the sprinkler drip irrigation quality considering actual influential factors could be determined and analyzed.This review establishes on a broad spectrum of agricultural drip irrigation performance,throughout its whole procedure of collaborative monitoring,irrigation scheduling,application efficiency,and environmental influence,covering such aspects as soil physicochemical quality,irrigation scheduling,water resource redistribution,crop productivity,tillage management,climate adaptation,and environmental monitoring,etc.This review indicates that,the irrigation efficiency and drip infiltration quality of soil field can be planned precisely and allocated reasonably by sprinkler drip irrigation,which has extraordinary infiltration capability and enables much better performance,than that of other ordinary irrigation approaches in accuracy,stability,regularity,and efficiency.Thereafter,the investigation on the collaborative operation and application influence of sprinkler drip irrigation can be used to ensure the infiltration uniformity of moisture distribution,and then the high-quality requirements of practical irrigation performance can be met,too.This systematic review facilitates the productive soil-moisture-environment management for precision irrigation and agricultural production.

煤矿智能快速掘进关键技术研究现状及展望

针对煤矿巷道掘进智能化建设情况,探讨了现阶段分别以连采机、掘锚一体机、全断面掘进系统、掘锚机为核心的四大类智能快速掘进成套装备发展现状,分析了四大类智能快掘装备与地质条件适用性,提出了实现煤矿智能化掘进需要解决的关键技术的问题,探讨了以信息传输与智能分析技术、智能感知技术、精确定位导航技术,自主定型定向截割技术、掘进机远程自主截割控制技术以及多级多工序智能协同控制技术为基础的智能化掘进实现途径;基于复杂地质条件下煤矿巷道掘进亟待解决的关键问题,提出了以掘进作业功能需求、掘进工艺要求为依据的系统化分析、模块化设计、功能优化组合的设计方法;研究了以虚控实、虚实结合的多级数字孪生构架,基于掘进巷道设备、环境、地质构造多维信息再现实现掘进机远程控制;提出了单机智能化、系统协同化、井下智控与地面远程监控相协同的控制方法。开发了新型的无重复碾压柔性超前支护技术、截割部多级伸缩截割技术、智能锚固机组多钻机并行作业等技术,研制了具有掘、支、锚、运、探多工序并行作业的新型快速掘进作业联合机组,提出了掘进机器人、超前支护机器人、锚固机器人、辅助运输机器人组柔性并行作业技术;提出了基于数据驱动的多机多工序协同控制行为规划决策方法。提出构建完整的煤矿井下跨系统全时空信息数字感知体系,构建集井下现场生产状态、掘进巷道空间信息、掘进装备状态、风险信息等多参量、多尺度、全时空特性的数据感知智能化监控平台,实现虚拟系统与实际掘进系统实时通信,通过数据驱动规划分析实现智能化、少人化掘进。

“人-车-桩-路-网”深度耦合下的配电网协同规划与运行优化

电动汽车(EV)作为连接交通电气化和电网清洁化的纽带和桥梁,可实现电力-交通-信息之间的深度耦合,形成电力-交通一体化的规划及运行架构。配电-交通融合系统(DTIS)中,EV充放电行为多时空动态交织、电能流-交通流-信息流深度融合、多利益主体动态博弈等大量不确定性因素使配电网的规划及运行优化的边界都将发生重大转变,但同时也给挖掘利用EV的移动储能特性和提升配电网灵活性带来了契机。为此,在分析“人-车-桩-路-网”深度耦合下配电网的形态演化特征基础上,剖析了新形态下配电网协同规划与运行优化所面临的新挑战,进而针对“人-车-桩-路-网”耦合下的EV灵活性建模、灵活域高效构建及预测、协同规划、运行优化4个方面关键技术展开讨论,并对相关技术问题的研究方向进行了展望。

神府区块深部煤层气钻完井关键技术及应用

【目的】深部煤层具有高地应力、中高温度、特低渗透、强压缩性、强非均质性等特点,目前尚未形成成熟的开发技术体系,复杂的地质特征为钻井与完井工程带来了新的技术难题与挑战,亟需开展针对深部煤储层地质特征的钻完井理论与技术攻关,助力油气增储上产,保障国家能源战略安全。【方法】基于鄂尔多斯盆地东缘神府区块深部煤层气开发先导性试验,研发了一套高效钻完井关键技术。【结果和结论】(1)针对深部煤层井壁稳定性差、钻速低、钻井周期长,通过优化二开井身结构、优选钻井液体系与“一趟钻”技术,并结合井眼轨迹精细化控制,实现了深部煤层一体化高效钻进,助力“新优快”井台建设落地。(2)针对深部煤层地质特征复杂、采用常规压裂规模产量低,形成了以“定向射孔+前置酸液降破压+段内多簇密切割+高排量大规模+一体化变黏滑溜水+暂堵转向+多粒径组合支撑剂”为核心的复合极限规模化压裂技术体系。(3)基于“一区一策+全局寻优”的工作理念,设计立体井网工厂化钻完井作业模式,最优水平井距为350 m时,“拉链式”压裂模式效果最佳。(4)“深部煤层气+致密气”协同开采,获得了更高的工业气流,多气合采是提升鄂尔多斯盆地东缘非常规天然气开发效益的重要措施。研究结果有望为鄂尔多斯盆地深部煤层高效钻完井技术提供理论指导与实践经验。

精细化管理在手术室骨科外来器械与植入物中的应用

目的探讨精细化管理在骨科外来器械与植入物管理中的应用效果。方法将2022年1月-3月进行的1275例骨科植入物手术设为对照组,将2022年4月-6月进行的骨科植入物手术1023例设为干预组,对照组采用常规的骨科手术配合管理模式,干预组采用精细化管理模式。结果干预组外来器械与植入物管理质量均明显高于对照组(均P<0.05),术中清点意外事件发生率显著低于对照组(P<0.05)。结论精细化管理能有效实施骨科外来器械与植入物的环节控制,显著提升外来器械与植入物管理质量,同时降低术中清点意外事件发生率。

考虑海铁联运的集装箱码头泊位分配优化

在海铁联运背景下,协同考虑到港船舶及铁路班列特点,优化集装箱码头泊位分配,对于提高港口作业效率至关重要。在满足码头岸线、泊位水深、岸桥等资源约束前提下,综合考虑船舶服务优先级和偏好泊位、铁路集装箱班列到发时间等约束,以船舶在港停留时间和泊位偏移惩罚时间最小为优化目标,建立海铁联运集装箱码头泊位分配优化模型;针对模型特点,设计自适应遗传算法进行求解,选取计划周期48 h内的到港船舶数据进行案例分析,通过MATLAB数值实验,得到符合船舶服务优先级和泊位偏好要求且契合铁路班列开行计划的海铁联运码头泊位分配方案。数值实验结果表明:在海铁联运协同优化条件下,船舶平均等泊时间为2.9 min,最大等泊时间为11.4 min,同时船舶的靠泊位置与偏好泊位之间的距离均不超过100 m,船舶在港的停留时间及偏好泊位差都得到了较好的控制。研究可进一步优化海铁联运集装箱码头泊位分配方案,有利于提高海铁联运集装箱在港转运效率。

基于元模型订单的联合作战仿真协同建模机制

研究了不同层次作战实验室协同开展联合作战仿真建模的问题。分析了联合作战仿真建模需求,并运用元模型建模原理及其特点,建立了一种基于元模型订单的联合作战仿真协同建模机制。基于该机制,战役层与战术层作战实验室围绕元模型订单的下发与提交,在统一作战想定下进行了元模型功能分解、参数确定、试验构建和聚合应用等活动,从而实现了联合作战协同建模。以面向海上封锁作战效能评估的联合作战仿真建模为例,验证了该机制的有效性。

基于协同育人理念的产业学院建设实践——以钢铁智能制造产业学院为例

产业学院作为深化产教融合、校企合作的重要载体,有效实现了人才培养与产业需求的对接。武汉工程职业技术学院钢铁智能制造产业学院立足钢铁制造产业转型升级发展,以冶金设备智能运维省级高水平专业群为载体,通过创新“五接五融五双”人才培养模式,共同实施“五段递进式”教学,打造“双师型”教师团队,共建生产性实训基地,共同开发活页式教材,培养“操检维调”高素质技能人才。

区域协同创新视角下广东省众创空间运行效率评价研究

众创空间的有效运行在很大程度上影响着区域创新效率。建立能够有效分析众创空间运行效率的科学评价体系,才能找到众创空间无序发展的问题所在,以实现其发展的辐射带动作用和价值利益的最大化。鉴于此,基于广东省众创空间2016—2020年有关面板数据,采用BCC模型和数据包络分析(DEA)-Malmquist指数模型相结合的方法,通过动静态结合对广东省众创空间运行效率进行客观评价分析,以期为提升众创空间服务的有效供给提供参考。结果表明:2018年是广东省众创空间转型发展的关键年份,逐渐从开始的规模化增长转型迈向高质量发展,但不同城市之间的综合效率水平极不平衡,综合效率最高的为1.000,最低的为0.384;广东省众创空间运行效率整体表现较好,处于逐年增长的态势,其中众创空间的整体运营管理水平和技术投入效率逐年提高,但单一的规模驱动增长模式很难保持持续增长,技术进步变化对众创空间运行效率的影响更加显著。因此,需要构建科学合理的众创空间运行评价指标体系,明晰正确的发展方向,减少资源冗余和浪费。

大型炼化一体化过程全流程低碳运行分析与决策优化综述

石化工业是国民经济支柱产业,也是高能耗高排放行业。面向双碳背景下传统石化行业低碳化、智能化转型需求,针对碳排与工艺耦合机理复杂的炼化一体化全流程碳足迹表征精度低问题、耦合互联多装置生产流程碳排异常环节难追溯问题以及实际工业环境下全流程优化方案不收敛问题,本文以大型炼化一体化全流程为研究对象,描述了利用过程机理、工业大数据和人工智能技术,研究炼化一体化全流程碳足迹建模理论、全流程碳排异常环节溯源理论以及全流程装置分布式协同决策优化理论,实现炼化一体化全流程低碳优化。在为流程工业碳足迹建模、溯源和优化提供方法的同时,也为实际炼化一体化企业高效、低碳、智能生产提供指导建议。