Smart City - Intelligent Railroad Management
Creation of a multifunctional intelligent system for forecasting, modeling and optimizing railway traffic, including the use of big data analysis technologies Multifunctional intelligent system for forecasting, modeling and optimizing railway traffic "Forecast".
Control of mechanical properties and microstructure (time resistance to tear, MPa; yield strength, MPa; elongation and contraction after breaking, %...)of metal is produced by an automated non-destructive testing unit in the flow of the unit, without reducing its productivity. The equipment must provide 100% control along the entire length of the rolled metal and discrete scanning along the width of the rolled products. "Type of product – hot-rolled sheet with edged edge made of low-alloy steel: 1. thickness from 10 to 50 mm, 2. width from 1500 to 4600 mm, 3. length up to 18300 mm. 4. The temperature is no more than 50 degrees Celsius. 5. The average error of the correlation dependence between the measured characteristics and the values of mechanical properties obtained by discontinuous methods is not more than 5%.
Technical Architecture
Technology
TR Level
Software Requirements Specifications (SRS) Overview
Tech Platform
Digital Transformation Domain
Project Type
Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Unit Cost
$2,000,000
Pricing Model
Social & Environmental Impact
Economic Impact
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
Rail Transport Companies (All Categories): Automating operational management and traffic control processes to maximize the efficiency of railway asset utilization.
Train Dispatchers: Requiring automated tools for rapid, real-time decision-making during operational conflicts, paired with predictive traffic modeling to detect such bottlenecks early.