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

1. 

2. 

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.

技術特點

1. 

1、大數據智能分析

大數據平臺基于數據中臺產品的基礎框架，將人工智能、圖數據庫、大數據挖掘等技術進行充分融合。將各場景數據通過圖譜化結構進行存儲、分析、展示和應用，實現人員、單位組織、警情事件、社會經濟活動、城市公共部件、資源、資產、房屋等在內的知識圖譜分析對象的本體定義、關系網絡、事物演進發(fā)展趨勢的統(tǒng)計、分析、圖譜化展示。

2、時空大數據碰撞、移動軌跡可視化

通過與移動智能終端的MAC、IEMI、版本號與地理信息、人員移動軌跡等時空大數據進行融合、分析和可視化，可實時動態(tài)分析相關人員的活動軌跡。

3、智慧社區(qū)大數據管控可視化

基于智慧社區(qū)”一標八實”基礎數據應用，綜合社區(qū)人臉識別門禁、車輛識別門禁、周界視頻、電子圍欄、出入人員疫情測溫、社區(qū)報警系統(tǒng)等構筑社區(qū)安全多重安全防線，實現對社區(qū)人、房、車、事件一體化管理。

應用場景

1、智能適應計算引擎

大數據平臺智能調整 shuffle 分區(qū)數量，找到最佳執(zhí)行計劃解決運行態(tài)的數據傾斜。

2、多源關聯分析+跨集群分析

除了支持多種數據源外，同時也支持多個Hadoop集群數據間和關系型數據庫間進行關聯、對比以及統(tǒng)計功能?？捎糜诓煌琀adoop集群間分析或者Hadoop集群與傳統(tǒng)業(yè)務數據庫間分析。

3、實現低成本的平滑升級

通過中間件層實現應用層與集成平臺層的接口解耦。在低層基礎平臺升級時，無應用層做任何修改。

4、動態(tài)多級分類存儲

支持多級文件系統(tǒng)管理，已支持有:HBase，FastDFS，HDFS，同時還可集成其他分布式文件系統(tǒng)。例如，可以根據文件大小分三級存儲。HBase：0~10MB FastDFS：10MB~100MB HDFS：100MB以上。此種策略可以在線編輯，實時生效。

5、SQL方言支持+存儲過程

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