ID 原文 译文
52717 区块链技术的分布式数据治理架构为多技术深度联合赋能产业发展提供了新思路，把握区块链产业技术融合结构和发展态势， The distributed data governance architecture of blockchain technology provides a new idea for multi-technology deep joint to empower industry development, and grasps the technology convergence structure and development trend of blockchain industry.
52718 识别技术发展机会显得尤为重要。 It is particularly important to identify opportunities for technological development.
52719 本文基于专利数据分析，结合ISI-OST-INPI分类体系，从技术融合的结构、共现矩阵、关联度、动态演化趋势4个层次和角度，探析全球区块链技术的融合态势。 Based on patent data analysis and combined with the ISI-OST-INPI classification system, this article explores the global blockchain technology convergence situation from four levels and perspectives: the structure of technology convergence, co-occurrence matrix, correlation, and dynamic evolution trend.
52720 研究发现: (1)区块链核心技术主要是电气工程部门的信息技术管理办法、计算机技术、数字通信这3大技术，融合集中度较高; The study finds that:(1) The core technology of blockchain is three major technologies of information technology management methods, computer technology, and digital communication in the electrical engineering department, with a high degree of convergence and concentration;
52721 (2)三大核心技术与其他技术融合态势更为明显; (2) It is obvious that three core technologies have more convergence with other technologies;
52722 (3)技术融合指数维持在较低的水平，区块链技术之间的融合呈现分布不均衡的特征。 (3) The technology convergence index is maintained at a low level, and the convergence between blockchain technologies presents an unbalanced distribution feature.
52723 针对吊车制动器故障诊断中故障机理复杂、先验知识欠缺、传统的故障诊断方法精度不高和人工依赖大等问题，本文提出一种基于深度置信网络(DBN)的制动器故障诊断方法。 In order to solve the problems of complex fault mechanism, lack of prior knowledge, low precision and artificial dependence of traditional brake fault diagnosis methods, a fault diagnosis method based on deep belief network(DBN) is proposed.
52724 该方法通过柔性薄膜传感器阵列获取制动器不同工况的实时特征数据及信号， In this method, the real-time characteristic data and signals of brake under different working conditions are obtained by flexible thin film sensor array,
52725 利用网络的无监督特征学习和有监督微调，构建制动器故障诊断的深层网络模型， and the deep network model of brake fault is constructed by using unsupervised feature learning and supervised fine-tuning of training network,
52726 从而实现了对制动器的故障诊断及预测。 so as to realize the fault diagnosis and prediction of the brake.