Brilliance Technology Big Data Solution

Brilliance Big Data Solution fully integrates and leverages social video and IoT sensing resources from government departments and bureaus involved in smart city development—including those for smart cities, Safe City projects, Peaceful City initiatives, smart communities, smart parks, smart urban management, smart environmental protection, smart emergency response, smart justice, and smart transportation. Built on network deployment architectures such as the e-government extranet, Internet, mobile Internet, industry-specific private networks, video private networks, mobile private networks, and IoT private networks, it takes 3D visualization of spatiotemporal geographic information and digital twins as its foundation, serving as a technical architecture for big data applications across various sectors in smart cities. The solution aggregates multi-dimensional static and dynamic data, including: urban IoT data (e.g., face recognition, license plate recognition, smart access control, traffic checkpoints, spatiotemporal trajectories, mobile MAC addresses, vehicle RFID tags, and IoT identifiers); data on personnel, locations, objects, and organizations; business systems of various government departments and bureaus; data on economic industries, social livelihoods, and ecological environmental protection; and data shared and exchanged among government departments and bureaus. It enables data collection, data integration, data governance, data standardization, data modeling, intelligent algorithm optimization, data mining and analysis, and data visualization. Additionally, it provides industry-specific big data analysis services for smart cities—covering social comprehensive governance, economic industries, macroeconomic development, industrial integration, energy consumption of water, electricity, and gas resources, GDP output, KPI livelihood indices, government services, poverty alleviation big data, ecological environmental protection, and people’s livelihood education—thereby building a city-level big data operation cockpit.

Product Advantages

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1、 Built on mainstream big data processing frameworks, it supports big data collection, governance, and data standardization.

2、 It enables data mining and data visualization applications based on knowledge graphs and intelligent algorithms.

3、 It builds an industry-enabled "data factory" model that covers the full workflow—including data collection and integration, data cleaning and modeling, data mining and analysis, and the realization of data application value.

技术特点

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1、大数据智能分析

大数据平台基于数据中台产品的基础框架，将人工智能、图数据库、大数据挖掘等技术进行充分融合。将各场景数据通过图谱化结构进行存储、分析、展示和应用，实现人员、单位组织、警情事件、社会经济活动、城市公共部件、资源、资产、房屋等在内的知识图谱分析对象的本体定义、关系网络、事物演进发展趋势的统计、分析、图谱化展示。

2、时空大数据碰撞、移动轨迹可视化

通过与移动智能终端的MAC、IEMI、版本号与地理信息、人员移动轨迹等时空大数据进行融合、分析和可视化，可实时动态分析相关人员的活动轨迹。

3、智慧社区大数据管控可视化

基于智慧社区”一标八实”基础数据应用，综合社区人脸识别门禁、车辆识别门禁、周界视频、电子围栏、出入人员疫情测温、社区报警系统等构筑社区安全多重安全防线，实现对社区人、房、车、事件一体化管理。

应用场景

1、智能适应计算引擎

大数据平台智能调整 shuffle 分区数量，找到最佳执行计划解决运行态的数据倾斜。

2、多源关联分析+跨集群分析

除了支持多种数据源外，同时也支持多个Hadoop集群数据间和关系型数据库间进行关联、对比以及统计功能。可用于不同Hadoop集群间分析或者Hadoop集群与传统业务数据库间分析。

3、实现低成本的平滑升级

通过中间件层实现应用层与集成平台层的接口解耦。在低层基础平台升级时，无应用层做任何修改。

4、动态多级分类存储

支持多级文件系统管理，已支持有:HBase，FastDFS，HDFS，同时还可集成其他分布式文件系统。例如，可以根据文件大小分三级存储。HBase：0~10MB FastDFS：10MB~100MB HDFS：100MB以上。此种策略可以在线编辑，实时生效。

5、SQL方言支持+存储过程

完整支持SQL 2003、PL/SQL、SQL Server, 完整支持ACID分布式事务的SQL引擎。