Linyi Municiple Bureau of Big Data
Integrated Supervision Platform for Key Vehicles
Contact UsBusiness Background
Key vehicles refer to vehicles requiring special attention in road/traffic safety management, including coach buses, chartered buses, dangerous goods transport vehicles, public buses, school buses, etc. In recent years, traffic authorities have implemented stricter supervision measures to further strengthen the safety management of key vehicles and improve road safety. As the municipal government data center, Linyi Municiple Bureau of Big Data undertakes the key responsibility of strengthening dynamic supervision over road transport vehicles, preventing and reducing road traffic accidents.
To comprehensively enhance refined and digital governance capabilities for urban key vehicles, our customer has built an integrated supervision platform for key vehicles, which serves as a core hub integrating various data and upper-layer applications in the transportation system. The platform has effectively reduced safety risks for frontline law enforcement personnel and prevented illegal driving and operations by monitoring vehicle routes.
Based on its multi-model data integration, high-speed read and write, and AI analytics, KaiwuDB ensures efficient management of billions of data records, and supports stable operation of key vehicle supervision platform.
Business Challenges
In an environment with massive amounts of data from multiple departments and high-concurrency access, the original system faces multiple challenges in time-series performance and intelligence
Difficulties in Cross-department Data Sharing
In recent years, the growing number of key vehicles has led to a sharp increase in time-series data. Key vehicle supervision involves multiple departments including urban management, traffic police, environmental protection, transportation, and education. Decentralized data management and poor information sharing reduced overall efficiency. It is critical to achieve unified data collection, storage, computing, governance and application across the entire process.
Insufficient Real-Time Data Processing
The overall, multi-dimensional and refined data analysis for key vehicles is inadequate and delayed, resulting in greater regulatory pressure.
Low Data Utilization
Collected data is mainly used for basic monitoring without further analysis. It is difficult to realize intelligent and precise supervision. Meanwhile, large data volume leads to high costs and low efficiency in data application.
KaiwuDB Solution
Multi-Technology Integration and Massive Data Access
The platform realized the aggregated acquisition and storage of structured, unstructured, real-time and non-real-time data by integrating with other technology systems such as Hadoop. It ingests at millions of data points per second, and realizes real-time multi-model data aggregation across departments, greatly improving information sharing and operational efficiency.Powerful Real-Time Computing and AI Analysis
The platform provides real-time computing, transaction processing, interactive query and AI analysis, enhancing real-time supervision of key vehicles and supporting intelligent early warning and overall management.Cost-Effective Data Foundation Support
As the data foundation, KaiwuDB effectively supports the operation of the upper applications, including data platform and business platform. It also enables costs reduction, data utilization improvement and more real-time vehicle supervision services.
Client Benefits
Accident Rate Reduced
The comprehensive key vehicle supervision platform enables full-process monitoring, dynamic management and precise early warning of key urban vehicles, improving law enforcement quality and public credibility, easing urban traffic pressure, reducing the accident rate by nearly 30%, and significantly improving the urban traffic environment.
Intelligent Analysis and Early Warning
The platform leverages KaiwuDB, IoT, AI, and unified stream-batch processing technologies to effectively improve the safety management of key vehicles. For example, it realizes real-time monitoring of 1,231 school buses of 800 primary and secondary schools and kindergartens across the city, with 10 million data records added daily. It provides intelligent early warning for violations such as speeding and uncivilized driving, protecting the safety of more than 30,000 students.
Unified Data Sharing
The cross-departmental data sharing mechanism enables efficient and integrated management of billions of data records. As a bridge among government departments, Linyi Municipal Bureau of Big Data promotes inter-departmental collaboration through this unified supervision platform, which supports integrated management, regulatory decision-making and coordination for authorities, enterprises and public institutions.