建筑大数据 BUILDING BING DATA

建筑数据在智慧领域已经变成一种基础性资源,智慧城市是一个在全生命周期都充满着大数据的行业,亟需用最新信息化技术来整合大数据,挖掘出具有决策价值的信息,以提高城市管理水平和运行效率

项目决策
PROJECT DECISIONS

通过项目所在地的经济发展状况、周边配套、政策环境、竞品行情、潜在目标客户、资金成本、投资额度、预期利润、风险源等数据,来保证项目决策的合理化。

Through the economic development of the project location, peripheral, policy environment and race character, potential target customers, the cost of capital, investment quota, expected profit, risk source, such as data, to ensure that the project decision-making rationalization.

设计阶段风险预估
DESIGN STAGE RISK ESTIMATES

用于建筑碰撞检测。例如,利用数据挖掘技术分析BIM模型中碰撞问题相关的历史数据,确定机械、电气和管道设计碰撞冲突的解决办法的可行性,帮助提高项目绩效。

Collision detection for architecture.For example, using data mining technology to analyze collision problems in BIM model related historical data, to determine the mechanical, electrical and plumbing design feasibility of collision conflict solution, help to improve project performance.

施工阶段应用
CONSTRUCTION APPLICATION

大数据技术的出现为建筑工程项目管理带来了新的发展方向,将大大提升项目管理各环节和整体的信息处理效率,为项目决策提供有效的信息参考,进而实现项目效益增值。以至借助大数据技术提升建筑工程项目管理水平,从而实现绿色、智慧、宜居的建筑,进而改变管理粗放、科技含量低、能耗浪费严重的中国建筑产业,共建产业新生态。

The emergence of big data technology for construction project management has brought new development direction, will greatly enhance the project management of each link and the overall efficiency of information processing, to provide effective information reference for project decision, thus to realize value-added project benefits.That use big data technology enhance the level of construction engineering project management, so as to realize the construction of green, wisdom, livable, extensive and change management, science and technology content is low, serious waste of energy consumption of China's construction industry, to build new ecological industry.

智慧运维
INTELLIGENCE OPERATIONS

利用大数据技术开发数据融合平台,可将BIM模型与能源消耗数据集合起来,可以让居民以更具互动性的方式看到电力消耗的时间、地点以及潜在的节能建议。。

Use of big data technology development platform, data fusion can be BIM model together with the energy consumption data, can let the people see power consumption in the form of more interactive time, place, and the potential of energy saving Suggestions.