Particle Swarm Optimization Algorithm Applied to the Gas Industry for Optimization in Automatic Meter Reading of Micom Meters

• Main Authors: Chia-hao Chang, 張家豪
• Other Authors: CHIA-LU HO
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/35233792512052326901

碩士 === 國立中央大學 === 通訊工程學系在職專班 === 101 === 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.