| 基于SOA的智慧河道水质监测预警平台设计及应用 |
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| 引用本文： | 贾佳,邱曙光,白若琛,庞成鑫. 基于SOA的智慧河道水质监测预警平台设计及应用[J]. 计算机应用与软件, 2021, 38(2): 13-18,26. DOI: 10.3969/j.issn.1000-386x.2021.02.003 |
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| 作者姓名： | 贾佳 邱曙光 白若琛 庞成鑫 |
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| 作者单位： | 上海电力大学电子与信息工程学院 上海 200090;上海电力大学电子与信息工程学院 上海 200090;上海电力大学电子与信息工程学院 上海 200090;上海电力大学电子与信息工程学院 上海 200090 |
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| 基金项目： | 上海市青年东方学者项目 |
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| 摘 要： | 针对传统河道管理体系中水文站点分布多、散、面广,水质样本采集方式耗时耗力,各部门间"信息孤岛"等问题,设计基于SOA的智慧河道水质监测预警平台.使用LPWAN技术,构建低功耗、远距离水质数据在线采集系统,通过SOA架构实现多源异构数据接入;通过PSO-BP算法及AR算法对采集到的数据进行水质分析和预测.平台实现了"云管...
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| 关 键 词： | 智慧河道 低功耗采集 SOA 多源异构数据 PSO-BP AR |
DESIGN AND APPLICATION OF INTELLIGENT RIVER WATER QUALITY MONITORING AND EARLY WARNING PLATFORM BASED ON SOA |
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| Jia Jia,Qiu Shuguang,Bai Ruochen,Pang Chengxin. DESIGN AND APPLICATION OF INTELLIGENT RIVER WATER QUALITY MONITORING AND EARLY WARNING PLATFORM BASED ON SOA[J]. Computer Applications and Software, 2021, 38(2): 13-18,26. DOI: 10.3969/j.issn.1000-386x.2021.02.003 |
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| Authors: | Jia Jia Qiu Shuguang Bai Ruochen Pang Chengxin |
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| Affiliation: | (College of Electrics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China) |
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| Abstract: | In order to solve the problems in traditional river management system,such as multiple,scattered and wide distribution of hydrological stations,time-consuming and labor-consuming water quality sample collection method,and“information island”among departments,this paper designs an intelligent river water quality monitoring and early warning platform based on SOA.The platform used LPWAN to build a low-power,long-distance water quality data online acquisition system,and realized multi-source heterogeneous data access through SOA architecture.The PSO-BP algorithm and AR algorithm were used to analyze and predict the water quality of the collected data.The platform realizes on-line water quality parameter acquisition,monitoring and early warning,and the prediction error is less than 1.5%within the allowable range,which has good practicability. |
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| Keywords: | Intelligent river Low power acquisition SOA Multi-source heterogeneous data PSO-BP AR |
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