TBM 在不良地质地段的安全通过技术

主要论述了TBM (隧道掘进机 )安全通过不良地质地段的方法步骤及辅助措施 ,并介绍了坍塌、岩爆、涌水、软弱地层、膨胀性围岩等常见不良地质情况 ,对TBM施工安全的影响及相应处理措施 ,以供工程技术人员参考。     

机械制造企业安全质量标准化初探

本文首先阐明了开展机械制造企业安全质量标准化工作的重要性.在明确机械制造企业安全标准化内涵的基础上,简述了其涉及的内容、分级标准以及评定程序.最后讨论了该项工作在实施过程中可能面临的问题.     

喷丸亚光机的危害性分析与无害化设计

从安全设备工程学的观点出发 ,分析了喷丸亚光机这一特种机械的危险因素和有害因素 ,阐述了在防尘、降噪、安全、耐用等方面所采取的相应防护措施和关键技术。提出了使该设备达到安全化、无害化的设计方法 ,使机械设计制造与工业安全卫生科学紧密结合 ,不仅具有生产功能的实用性 ,而其加工性能和相关指标达到或优于国外同类设备。     

火化场焚烧污染现状及存在问题

从环保角度入手,着重调查沈阳市全市范围内殡葬行业现有状况,重点研究了火化机焚烧尸体后产生的废气污染问题,并提出几点对策和建议。监测结果表明,烟尘、二氧化硫和氮氧化物等废气污染物的排放浓度超过国家标准要求。     

火炸药企业重大事故隐患危险性评估的计算机自学习实现

通过对火炸药工厂重大事故隐患危险性评估方法的分析,以计算机自学习的基本结构为主线,详细探讨了以机械学习策略完成该评估程序中对新危险品源自学习的过程。对此过程中知识表示等几个应注意的问题进行了描述     

State-of-the-art applications of machine learning in the life cycle of solid waste management

● State-of-the-art applications of machine learning (ML) in solid waste (SW) is presented. ● Changes of research field over time, space, and hot topics were analyzed. ● Detailed application seniors of ML on the life cycle of SW were summarized. ● Perspectives towards future development of ML in the field of SW were discussed. Due to the superiority of machine learning (ML) data processing, it is widely used in research of solid waste (SW). This study analyzed the research and developmental progress of the applications of ML in the life cycle of SW. Statistical analyses were undertaken on the literature published between 1985 and 2021 in the Science Citation Index Expanded and Social Sciences Citation Index to provide an overview of the progress. Based on the articles considered, a rapid upward trend from 1985 to 2021 was found and international cooperatives were found to have strengthened. The three topics of ML, namely, SW categories, ML algorithms, and specific applications, as applied to the life cycle of SW were discussed. ML has been applied during the entire SW process, thereby affecting its life cycle. ML was used to predict the generation and characteristics of SW, optimize its collection and transportation, and model the processing of its energy utilization. Finally, the current challenges of applying ML to SW and future perspectives were discussed. The goal is to achieve high economic and environmental benefits and carbon reduction during the life cycle of SW. ML plays an important role in the modernization and intellectualization of SW management. It is hoped that this work would be helpful to provide a constructive overview towards the state-of-the-art development of SW disposal.     

振动落砂机噪声和粉尘的控制

本文结合沈阳水泥机械厂铸造车间二台１０ｔ振动落砂机噪声、粉尘治理，阐述了落砂机振动、噪声及粉尘飞扬的特点，控制原理、主要措施、治理效果．     

机油高效降解菌群筛选及降解效果初探

从多处受石油污染的土壤中经过初步筛选、混合驯化得到以机油为唯一碳源进行生长代谢的混合菌群.利用此混合菌群进行的降解实验结果表明,该菌群对高浓度机油废水具有较强的降解能力,初始含机油约2.0 g/L的人工废水.接种量为0.1%(菌体湿重/培养液体积),经过7 d的降解,机油可降至403 mg/L,降解率达81.4%;对不同浓度机油废水的降解实验结果表明,在静态实验条件下,机油质量浓度在不高于1 000 mg/L(含1 075 mg/L),混合菌群在降解过程中能自行从降解产酸的不良环境中恢复,机油质量浓度在2 000 mg/L以上,初期产酸较多,pH下降幅度较大,在7 d的周期内,废水pH无法恢复,说明在降解后期仍有大量有机酸积累而未被彻底降解;与葡萄糖共基质的降解实验结果表明,经过7 d的降解.不超过150 mg/L,的葡萄糖与1 000 mg/L机油组成的共基质体系中,机油降解基本不受葡萄糖加入的影响,但可加强早期的降解速率.而葡萄糖高于150 mg/L时,则会对混合菌群的除油率产生抑制,抑制程度随着葡萄糖浓度的提高而加大.     

施工过程安全数字孪生模型的构建和应用*

为解决施工过程安全信息的虚实交互难题,降低施工过程安全风险,提出施工过程安全数字孪生模型。建立施工过程安全语义本体,分析施工过程安全关键知识要素;定义施工过程安全数字孪生五维模型,明确模型的构成和功能,基于物联网和有限状态机构建施工过程安全监控方法,并以塔吊顶升活动安全监控为例进行应用。研究结果表明:该模型能够实现塔吊顶升施工过程安全的数字化表达、参数化监测和自动化控制。