|
| 开放式工业区域碳排放气体监测布点优化 |
| Optimization of Carbon Emission Monitoring Sites in Open Industrial Area |
| |
| DOI： |
| 中文关键词: 工业碳排放 监测布点 高斯模型 粒子群算法 离散空间 概率分布 |
| 英文关键词: Industrial carbon emission Setting of monitoring site Gauss model Particle swarm optimization Discrete space Probability distribution |
| 基金项目:国家自然科学“面向海量重力卫星观测数据精化处理的机器学习方法研究”面上基金资助项目（42374004）；西南石油大学科研启航计划“基于高温SOFC-PV混合发电系统的智能调度研究”基金资助项目（2021QHZ012） |
|
| 摘要点击次数: 62 |
| 全文下载次数: 22 |
| 中文摘要: |
| 利用高斯大气扩散模型，结合工业区域环境气象信息，对开放式场景下工业区域碳排放进行分析计算，构建开放式区域的监测曲面。基于粒子群算法，在监测曲面上以经济性与覆盖率为目标函数进行求解，获得监测装置最优布点数量及坐标。以成都市某工业区域为例，通过数学建模及仿真分析验证该方法的适用性和有效性，分别采用通信范围为50m和100m的监测装置进行监测，当监测点数量为32时，其最优覆盖率分别超过32%和83%。 |
| 英文摘要: |
| The carbon emission in an open industrial area was analyzed and calculated by Gauss atmospheric diffusion model and environmental meteorological information， and the monitoring surface was constructed. Based on particle swarm optimization（PSO）， the optimal number and coordinates of monitoring devices installed were obtained by solving the objective functions of economy and coverage rate on the monitoring surface. Taking the actual situation of an industrial area in Chengdu as an example， the applicability and effectiveness of this method were verified by mathematical modeling and simulation analysis. When there were 32 monitoring sites， the optimal coverage rates of monitoring devices with a communication distances of 50 m and 100 m exceeded 32% and 83%， respectively. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
