铁路BIM海量数据实时压缩方法研究

针对铁路BIM海量数据与当前网络传输带宽的矛盾，结合铁路三维场景的数据特点提出一种铁路BIM数据实时压缩方法。对铁路三维场景的三维空间绝对坐标进行局部化处理，将坐标维数降为二维；通过相对化处理将每一维坐标数值占用的比特位大大减少；采用无损坐标量化定义了一种适于铁路场景网络传输的紧凑数据格式存储坐标；提出适用于铁路场景绘制的帧间预测方法减少相邻桩号间的数据冗余；借助自适应算术编码技术对数据比特流进一步压缩，获得了更高的压缩比。

Real-time compression method for massive data of railway BIM

Aiming at the contradiction between massive data of railway BIM and bandwidth of current network transmission, considering with the data characteristics of railway 3D scene, the article proposed a data realtime compression method for massive data of railway BIM. Three-dimensional coordinates were reduced to twodimensional by localization, and the bits were also significantly reduced by relative treatment. A lossless and high compact data format was defined to store the coordinates for network transmission of railway sense. The inter frame prediction method suitable for railway scene rendering was proposed to reduce data redundancy of adjacent pile numbers. The bit stream was further compressed by using adaptive arithmetic coding and higher compression ratio was obtained.