【摘要】：城鄉(xiāng)規(guī)劃行業(yè)的設計生產(chǎn)周期產(chǎn)生了大量的非結(jié)構(gòu)化數(shù)據(jù),傳統(tǒng)信息技術(shù)僅實現(xiàn)了對規(guī)劃成果信息的檔案式存儲,隨著人工智能技術(shù)的重要分支——機器學習技術(shù)的迅猛發(fā)展,對規(guī)劃全流程知識挖掘輔助提高規(guī)劃編制科學性和效率成為了可能。通過跨學科文獻調(diào)研和示范案例實驗,展示了規(guī)劃支持模型智能化和規(guī)劃文本知識挖掘兩方面的技術(shù)演進路徑。最后,展望了規(guī)劃編制全過程的人工智能輔助技術(shù)總體趨勢。
[Abstract]:The design and production cycle of urban and rural planning industry has produced a large amount of unstructured data. Traditional information technology has only realized the archival storage of planning achievement information. With the rapid development of machine learning technology, which is an important branch of artificial intelligence technology, It is possible to improve the scientificalness and efficiency of planning compilation with the aid of knowledge mining in the whole process of planning. Based on cross-disciplinary literature research and demonstration case experiments, the technological evolution paths of intelligent planning support model and planning text knowledge mining are demonstrated. Finally, the general trend of artificial intelligence auxiliary technology in the whole process of programming is prospected.
【作者單位】： 廣東省住房和城鄉(xiāng)建設廳政策研究中心;廣東省城鄉(xiāng)規(guī)劃設計研究院;
【分類號】：TP18;TU981

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