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一种工程矢量瓦片地图加密和压缩策略研究OACSTPCD

Encryption and Compression Strategy Research on Engineering Vector Tile Map

中文摘要英文摘要

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 securi-ty in the process of compressing and encrypting engineering vector tile map information.We set the engineering vector tile pyramid model param-eters based on MBTiles,traversed and analyzed the tile data sets,and hierarchically indexed the tile maps.Then,we utilized a tile map informa-tion compression algorithm based on the upper limit of features to handle possible over fitting situations during the compression process,and ap-plied the RSA algorithm to improve block chain technology,strengthen the connection between various blocks,transcode vector tile map informa-tion,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 infor-mation 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.

刘少博;陈彦江;陈丽;周永博;李富鹏;裴之垣

国网甘肃省电力公司数字化事业部,甘肃 兰州 730050国网甘肃省电力公司定西供电公司,甘肃 定西 744300

测绘与仪器

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 technologydeep convolution neural network algorithmvector tilemap storage

《地理空间信息》 2024 (008)

33-36,49 / 5

10.3969/j.issn.1672-4623.2024.08.007

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