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Research On Grading Assessment Of Industrial Building Heritage In Shaanxi Province

Posted on:2020-11-09Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhangFull Text:PDF
GTID:2392330620958037Subject:Architecture and Civil Engineering
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Based on the study of the national policy background and the status quo of local industrial heritage in Shaanxi,this paper analyzes the lack of grading assessment standards for local industrial heritage work in Shaanxi,the inaccurate relative value of similar industrial heritage,and the mismatch of protection levels.Based on the actual needs of the industrial building heritage classification of the stocks,through in-depth study of relevant international organization documents,British,American,Canadian standards and domestic regulations and normative documents,focusing on the relevant provisions of the national industrial heritage management measures and related academic papers,explore the establishment of the classification criteria for industrial building heritage in Shaanxi.The specific research is as follows.(1)Building an indicator system: Through the interpretation of the Interim Measures for the Administration of National Industrial Heritage,and referring to the first batch of national industrial heritage identification methods,the establishment of Shaanxi industrial building heritage classification evaluation index system is explored from the two dimensions of heritage value and preservation status.Based on extensive research and consensus in policy and academic circles,four basic values of industrial building heritage grading are formed: historical value,social cultural value,artistic value and technical value.According to the principle of heritage integrity,the preservation status is divided into building status and environmental status.Get 6 first-level indicators.In the refinement of indicators,full consideration is given to the physical,informational,public,individual,and architectural integrity and structural safety of heritage values,to distinguish the nature of different industrial buildings,and to obtain 17 secondary indicators and oriented for productive buildings and 13 secondary indicators for non-productive buildings.(2)Establish a system of value standards: First,the meaning of the value standard is clarified,and the relationship between the value standard and the value indicator is discriminated.Then,the paper interprets relevant documents in depth,and uses statistical and set theory methods to preliminarily select six values of authenticity,integrity,representativeness,scarcity,diversity and earlyness based on the principle of universality and generality.Systematic cluster analysis is used to classify authenticity,integrity and diversity as absolute standards,and to classify representativeness,scarcity and earlyness as relative standards.Further using principal component analysis to study and quantify the correlation between value standards,the research shows that the absolute value principal component and relative value principal component are consistent with the system clustering results,thus demonstrating the rationality of the six value standards and establishing a value standard system.(3)Defining grading standards: Considering that the actual development of Shaanxi industrial building heritage protection work is in line with the cultural relics protection unit,according to the "Law of the People's Republic of China on the Protection of Cultural Relics" and the current non-movable cultural relics classification system in Shaanxi,the value classification method is adopted,and the industrial building heritage of Shaanxi is adopted according to the value.It is divided into three levels,namely,national industrial building heritage,provincial industrial building heritage,city(county)industrial building heritage,benchmarking national key cultural relics protection units,provincial cultural relics protection units,and city(county)level cultural relics protection units.Study the principle of hierarchical protection.Based on the historical background and reality of Shaanxi industrial and industrial architecture,this paper studies the relationship between Shaanxi industrial building heritage and local characteristics,and combines objective quantitative method and subjective qualitative method to explore and define the classification standard of Shaanxi industrial building heritage: study quantitative value standard(scarcity,early stage)Sexuality,diversity,and quantitative indicators of building condition indicators,preliminary drafting of numerical values;qualitative value standards(authenticity,integrity,representativeness)and environmental status indicators are qualitatively rated by the assessors,based on the characteristics of Shaanxi.After comparing and analyzing the advantages and disadvantages and applicability of “multiple identification systems”,“single identification system” and “comprehensive scoring system”,the comprehensive scoring system was selected.(4)Establish evaluation model: Firstly,the fuzzy comprehensive evaluation method is selected by method applicability analysis.Then,according to the limitations of fuzzy comprehensive evaluation method,the fuzzy synthesis order is changed,and the expert weight,distribution evaluation and double feedback mechanism are introduced to explore the construction of dynamic fuzzy comprehensive evaluation model.In order to ensure the scientificity and rigor of the research,mathematical methods are used to rigorously prove the consistency of the two fuzzy synthetic order results and the convergence of the double feedback mechanism under the condition of distribution evaluation and expected value difference as the group consistency measure.(5)Case study: The standard and model built in this paper are used to grade the site of Baoji Shenxin Yarn Factory,and the scientific,rational and operability of the standard and model are verified,in order to provide some reference significance for the classification of industrial building heritage in Shaanxi.
Keywords/Search Tags:industrial building heritage, value standard, grading assessment, dynamic fuzzy
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