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低碳园区智能感知系统优化配置设计方法

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针对目前低碳园区具有规模较大、信息分散、数据采集成本较高的问题,本文提出了一种智能感知系统的多目标优化配置方法.基于提出的智能感知系统结构,以传感网络节点覆盖率最高为目标进行节点选址;同时以投资成本、故障损失成本和运维成本最小为目标,建立数据采集设备优化配置模型.采用量子遗传算法求解多目标优化模型,结合工程实际,以获得传感网络覆盖率和经济效益最大化的配置方案.最后通过算例分析验证所提出的基于量子遗传算法的智能感知系统多目标优化配置方法的有效性.
Design Method for Optimal Configuration of Intelligent Sensing Equipment in Low-Carbon Parks
Directing at the problems of large scale,scattered information and high cost of data collection in low-carbon parks,this paper proposes a multi-objective optimization configuration method of intelligent sensing system.Based on the proposed structure of the intelligent sensing system,node selection is carried out with the target of the highest node coverage of the sensor network.Meanwhile,aiming at the minimum investment cost,failure loss cost and operation maintenance cost,the optimal configuration model of data acquisition equipment is established.In this paper,quantum genetic algorithm is used to solve the multi-objective optimization model,combined with the engineering practice,in order to obtain the configuration scheme of the sensor network coverage and economic benefit maximization.Finally,an example is given to verify the effectiveness of the proposed multi-objective optimal configuration method for intelligent sensing system based on quantum genetic algorithm.

intelligent sensing devicesensor networkdata acquisition equipmentoptimize configurationquantum genetic algorithm

孙哲宇、王琦、尹曜华、柯吉、段晨东、邢学树

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长安大学 能源与电气工程学院,陕西 西安 710064

中国电建集团贵阳勘测设计研究院有限公司,贵州 贵阳 550081

智能感知系统 传感网络 数据采集设备 优化配置 量子遗传算法

陕西省重点研发计划贵州省科技计划中国电建集团贵阳勘测设计研究院有限公司项目中国电力建设集团有限公司项目

2023-YBSF-285黔科合支撑[2023]一般409YJ2022-12XNZ/2020/KK-1-5

2024

10.16618/j.cnki.1674-8417.2024.04.002

现代建筑电气
上海电器科学研究所（集团）有限公司

现代建筑电气

影响因子：0.712
ISSN：1674-8417
年,卷(期)：2024.15(4)
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