摘要
为避免在压缩和加密工程矢量瓦片地图信息过程中出现过拟合状态、数据安全性较差等情况,提出一种工程矢量瓦片地图加密和压缩策略。基于MBTiles设置工程矢量瓦片金字塔模型参数,遍历分析瓦片数据集,分级索引瓦片地图;利用基于特征上限的瓦片地图信息压缩算法,处理压缩过程中可能出现的过拟合情况;应用RSA算法改进区块链技术,加强各区块间的联系,转码矢量瓦片地图信息,实现瓦片信息的有效存储。实验结果表明:(1)利用该模型压缩瓦片地图信息后,其存储耗时最大值为0.9 s,存储空间值均小于4 TB;(2)加密地图信息后,地图信息特征完全被打乱。可有效避免压缩过程中出现过拟合状态,降低信息存储耗时,减小存储消耗空间,信息的压缩和加密效果较好。
We proposed an encryption and compression strategy for engineering vector tile map in order to avoid over fitting and poor data security in the process of compressing and encrypting engineering vector tile map information.We set the engineering vector tile pyramid model parameters based on MBTiles,traversed and analyzed the tile data sets,and hierarchically indexed the tile maps.Then,we utilized a tile map information compression algorithm based on the upper limit of features to handle possible over fitting situations during the compression process,and applied the RSA algorithm to improve block chain technology,strengthen the connection between various blocks,transcode vector tile map information,and achieve effective storage of tile information.The experimental results show that①after compressing tile map information using this model,the maximum storage time is 0.9 s,and the storage space value is less than 4 TB.②After encrypting the map information,the map information features are completely disrupted,which can effectively avoid overfitting during the compression process,reduce information storage time and space consumption,and achieve good information compression and encryption results.
作者
刘少博
陈彦江
陈丽
周永博
李富鹏
裴之垣
LIU Shaobo;CHEN Yanjiang;CHEN Li;ZHOU Yongbo;LI Fupeng;PEI Zhiyuan(Digitalization Division of State Grid Gansu Electric Power Company,Lanzhou 730050,China;Dingxi Power Company,State Grid Gansu Electric Power Company,Dingxi 744300,China)
出处
《地理空间信息》
2024年第8期33-36,49,共5页
Geospatial Information
关键词
区块链技术
深度卷积神经网络算法
矢量瓦片
地图存储
block chain technology
deep convolution neural network algorithm
vector tile
map storage