Powerleader Helps A Public Security Client Build A Police Big Data Platform
Applications
After More Than 20 Years Of Development, Blade Has Continuously And Deeply Grasped Market Demand And Accumulated A Large Number Of Customer Resources And Rich Service Experience.
Background Of The Project
As Computers Become More And More Capable Of Processing Large Amounts Of Data At Higher Speeds, People Are Becoming More And More Capable Of Mining Useful Information From Large Amounts Of Data. Public Security Agencies Have A Large Amount Of Information Available For Mining, And Have Gradually Established Police Big Data Platforms. Deep Mining Of The Value Of Massive Amounts Of Data Based On Big Data Technology Has Made Data A Key To Solving Cases And Maintaining Public Security, And Has Become An Important Part Of The Development Of Smart Policing.
Based On The Basic Data Accumulated By The xx Public Security Over The Years, It Has Been Possible To Integrate Various Types Of Information On Key Vehicles And Personnel. This Massive Amount Of Information Provides Strong Support For Police Officers, But Many Research And Judgment Tasks Still Need To Be Completed Manually. Due To The Characteristics Of Massive And Highly Dynamic Information For Key Objects, Manual Research And Judgment Is Inefficient And Unresponsive. In Order To Fundamentally Solve The Problem Of “Difficult Research And Judgment”, It Is Urgent To Develop A Key Object Integral Automatic Research And Judgment Model Based On Public Security Big Data. Use Machine Learning And Data Mining Under Big Data Technology To Achieve Efficient And Intelligent Research And Judgment Of Large-scale Key Objects.
size | 2U rack-mount server, 86.1mm ( height ) * 447mm ( width ) * 790mm ( depth ) |
CPU | Equipped with two 6230R/26C/52T / 2.1GHz processors |
Hard disk slot | Provides 12 3.5- inch hard disk slots, equipped with 2 960G SSD system disks and 10 4TB data disks |
Network port | 4 Gigabit electrical ports, 4 10G optical ports (including 4 10G optical modules) |
RAID | 2G cache RAID array card (supports RAID0 1 10 ) and is equipped with super capacitor |
PCIE slot | Configure at least 4 PCIe slots |
power supply | Configured with 2 AC power modules, 1+1 |
operating system | Centos7.6 |
PowerLeader Big Data Integrated Machine (PR2715P2) Is A 2U Server Product Newly Launched By PowerLeader. It Adopts Intel C620 Series High-Performance Chipset And Supports The Second-Generation Intel® Xeon® Processor Scalable Processor Series. This Model Supports Up To 3 TB Of Memory Capacity, 8 Hot-Swappable 3.5-Inch Hard Disks By Default, And Optional 12-disk/24-Disk Versions, And Can Flexibly Expand Full-Height And Full-Length Pci-e Devices. The Highly Integrated Design Brings Strong Performance In A Limited Space To Support The Operation Of Critical Tasks. PR2715P2Provides Advanced Management Functions And Storage Technology, With Reliable Scalability And High Availability.
An Introduction
Based On The PL-TDH Blade Big Data Platform, Users Build Key Target Feature Analysis And Judgment Model Projects, Construct Police Sub-center Big Data Platforms, Collect And Store Massive Multi-business And Multi-department Data, And Extract A Variety Of Practical Application Data Models Through Analysis And Judgment. At The Same Time, An Automatic Intelligent Integral Warning Model Is Established To Provide Underlying Technical Support And Data Sharing Services For Upper-level Business Applications.
Solution
In The Application Of Large Passenger Flow Monitoring, By Collecting Passenger Flow Data (Such As DZWL Data) In Key Areas (Such As Subway Entrances And Squares) In Real Time, The Passenger Flow In Each Time Window Is Monitored And Analyzed In Real Time. At The Same Time, Offline Analysis And Data Mining Are Carried Out On Historical Data, And Archives Are Established For Road Sections, Time Periods, Population Segments And Other Dimensions To Obtain The Inherent Correlation Rules Of The Data, Predict The Passenger Flow Peak In The Next Time Period, Set Thresholds, And Issue Real-time Warnings When The Thresholds Are Exceeded, So As To Achieve The Effect Of Avoiding Risk Accidents In Advance.
Customer Benefits
In Response To The Actual Needs Of Various Police Types For The Supervision Of Key Personnel And Key Vehicles, The Application Of Key Object Feature Analysis And Judgment Model Is Studied From The Aspects Of Key Attribute Selection, Attribute Association Mining, Rule Construction, Abnormal Data And Behavior Analysis, Weight Learning, Etc., To Build An Integral Model That Can Meet The Business Needs Of Multiple Police Types And A System With Rich Interfaces That Can Be Connected To Various Public Security Internal Systems. By Building An Automatic Intelligent Integral Model, Effective Integral Warning Can Be Achieved, And Finally The Effect Of Uninterrupted Prediction And Investigation Of Key Objects Can Be Achieved.