粒子群優化演算法應用於瓦斯業微電腦瓦斯表自動讀表之優化; Particle Swarm Optimization Algorithm Applied to the Gas Industry for Optimization in Automatic Meter Reading of Micom Meters

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题名:	粒子群優化演算法應用於瓦斯業微電腦瓦斯表自動讀表之優化;Particle Swarm Optimization Algorithm Applied to the Gas Industry for Optimization in Automatic Meter Reading of Micom Meters
作者:	張家豪;Chang,Chia-hao
贡献者:	通訊工程學系在職專班
关键词:	群體智能;粒子群優化演算法;微電腦瓦斯表;無線母機;無線子機;多介面通訊裝置;中繼器;Swarm Intelligence;PSO;Micom Meters;Wireless parent machine;Meter Interface;Multi-Interface Eqipment;Router
日期:	2013-08-29
上传时间:	2013-10-08 15:21:05 (UTC+8)
出版者:	國立中央大學
摘要:	家庭生活經常看到的水表、電表及瓦斯表俗稱居家三表，我們經常看到抄表員大約每兩個月到住家紀錄家庭的水、電、瓦斯使用量後再計算費用通知用戶繳費，而瓦斯表有些都設置在家庭內而造成紀錄不便，所以政府相關單位就針對居家三表修訂自動讀表通訊介面標準，讓相關廠商可以在通訊設備符合三表具有自動讀表功能。現行在推動三表自動讀取進展上，以瓦斯表最有急迫性，因政府在民國100年02月01日公布實施天然氣事業法，要求瓦斯公司必須逐年實施推動具有地震遮斷、壓力過低遮斷及通信等功能之微電腦瓦斯表推廣計畫，所以各瓦斯公司最近幾年已陸續推動微電腦瓦斯表搭配不同通訊方式來作效益評估。因此如何將微電腦瓦斯表最佳化是瓦斯公司目前的重要決策。追求「成本與效能」最佳化時，可以運用不同的演算法來驗證求的最佳解，近年比較熱門的演算法粒子群演算法(PSO)，因為具備快速收斂、較少的參數設定並適用於動態環境的優點等，近年在國內外逐漸在最佳化領域成為一個熱門研究議題。本研究之目的，主要將針對粒子群優化演算法之特性，藉由收集相關瓦斯公司試行推廣的數據，以粒子群優化演算法應用於微電腦瓦斯表之優化在最少成本及最佳效能下找出適當的最佳解，作為提供其他瓦斯公司日後汰換微電腦瓦斯表之參考。 We often see water, electric and gas meters known as home three meters in family life, we see meter readers about every two months to record the family use water, electricity, gas usage amount and then calculate the cost of notifying the user fees, but some gas meters within the family record inconvenience caused, so government agencies to amend the table for home three automatic meter reading communication interface standards, so that the relevant vendors in the communications equipment meets three tables with automatic meter reading function. Existing in promoting progress on three tables automatically read to the most urgency gas meter, in 2011 February 1 the government announced the implementation of Natural Gas Business Act to require the gas company must have earthquakes every year to promote the implementation of interdiction, the pressure is too low interdiction and communications functions of the microcomputer gas meter promotion plan, so the gas company in recent years has started to promote micro gas meters with different means of communication to make benefit assessment. Therefore, how to optimize the microcomputer gas meter is the gas company's important decisions. The pursuit of "Cost and Performance" optimization, you can use different algorithms to find the optimal solution validation, more popular in recent years, PSO algorithm (PSO), because with fast convergence and fewer parameters set for the advantages of such a dynamic environment, at home and abroad in recent years gradually become a hot field of optimization research issues. The purpose of this research, primarily for the characteristics of particle swarm optimization algorithm, by collecting gas companies try to promote relevant data to particle swarm optimization algorithm is applied to the optimization of micro gas meters for optimal performance with the least cost and to find the next appropriate optimal solution, as the provision of other gas companies in the future replacement of the reference gas meter microcomputer.
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