Weigh2x Tech
Axle strain sensor weighing systems offer enhanced precision and improved long-term reliability for vehicle weighing applications.
Current mainstream onboard weighing systems primarily employ two measurement approaches:
——Suspension Deflection Measurement: Monitors spring suspension compression to calculate load weight. This method is constrained by spring fatigue, non-linear characteristics, and temperature effects.
——Air Bag Pressure Measurement: Calculates weight through monitoring pressure changes within air bag suspension systems. While offering rapid response, air bag leakage, aging, and pressure sensor temperature drift all compromise measurement accuracy.
Both spring and air bag suspension systems face inevitable material aging problems:
These factors make long-term accuracy difficult to guarantee for traditional systems, typically requiring frequent recalibration and maintenance.
Axle strain sensors employ direct axle strain measurement to determine load weight, bypassing suspension system intermediaries:
——Simplified Measurement Chain: Load → Axle Strain → Electrical Signal Output, reducing measurement error accumulation
——Linear Response Characteristics: Metal axle elastic deformation exhibits excellent linear relationship with load
——Temperature Compensation Mechanism: Advanced temperature compensation algorithms ensure measurement consistency across different environmental conditions
Metal vehicle axles, as load-bearing structures, possess excellent material stability:
——Stable Material Properties: High-strength steel elastic modulus remains essentially constant under normal operating conditions
——No Mechanical Wear: Strain measurement involves no moving parts, eliminating precision degradation from mechanical wear
——Self-compensation Capability: Through multi-point strain measurement and intelligent algorithms, the system provides automatic compensation and correction
Our axle strain sensor systems achieve:
Real-time Dynamic Response: Strain gauges provide instantaneous response to load changes, enabling real-time weight monitoring during vehicle operation, acceleration, and braking scenarios.
Multi-axle Integration: Advanced systems can simultaneously monitor multiple axles, providing comprehensive vehicle weight distribution analysis and detecting uneven loading conditions that could affect vehicle stability and tire wear.
Environmental Resilience: Strain gauge technology demonstrates excellent performance across extreme temperature ranges (-20°C to +60°C), high humidity conditions, and vibration-intensive environments where traditional sensors may fail.
Fatigue Resistance: Unlike mechanical components in suspension-based systems, properly installed strain gauges can withstand millions of load cycles without degradation, making them ideal for high-frequency commercial applications.
Signal Processing Intelligence: Modern axle strain systems incorporate advanced digital signal processing algorithms that can filter out road-induced vibrations, vehicle dynamics effects, and other noise sources to isolate true weight-related signals.
Calibration Flexibility: The system supports multiple calibration methodologies including static calibration, Dynamic calibration, and self-learning algorithms that adapt to changing vehicle characteristics over time.
Data Integration Capabilities: Built-in connectivity options (CAN bus, Ethernet, wireless) enable seamless integration with fleet management systems, telematics platforms, and regulatory compliance monitoring networks.
Diagnostic Functionality: Advanced systems provide continuous self-diagnostics, monitoring sensor health, electrical connections, and system performance to predict maintenance needs before failures occur.
Load Distribution Analysis: Beyond total weight measurement, axle strain systems can analyze load distribution patterns, detect cargo shifting, and provide warnings for unsafe loading conditions.
Gauge Sensors
Signal Amplification Circuit
Digital Signal Processor (DSP)
Advanced Signal Processing Algorithms
Algorithms
The Institute for Urban Resilience (i-UR) is a newly established innovation institution dedicated to advancing scientific research and technology development that address urban resilience challenges, with a focus on water and transportation infrastructures and systems. The technical members of i-UR bring decades of deep expertise in both research and practice. The i-UR's core capacity lies in developing cutting-edge sensing technologies, precision instruments, and AI-powered data-driven solutions to tackle complex challenges in urban water and transportation systems. Its mission emphasizes identifying vulnerabilities and hazard impacts, strengthening adaptive capacity, and implementing transformative system approaches and technologies through collaborations with governments, communities, and the private sector.
The founding leadership team for initializing the i-UR includes Jeff Yang, Ph.D., P.E., former Senior Physical Scientist and Acting Associate R&D Division Director at the U.S. EPA; Heng Wei, Ph.D., P.E., F.ASCE, Professor of Intelligent Transportation Systems and Engineering at the University of Cincinnati (UC); Amy Tong, M.S., former Industry Solution Executive at Siebel and Oracle; Lilit Yeghiazarian, Ph.D., Professor of Environmental Engineering at UC; Regan Murray, Ph.D., former R&D Division Director at the U.S. EPA; and Ding Liu, M.S., senior scientist and product development expert in sensing precision instruments and data processing. The i-UR is building partnerships with government agencies, industry leaders, and academic institutions worldwide to transform urban landscapes into safer, more sustainable, and more resilient environments for future generations.
Supported by UC and i-UR under the leadership of Dr. Heng Wei and Dr. Jeff Yang, the Weigh2X research team is composed of internationally recognized scholars and experts from UC, the former EPA R&D division, and the industrial sector. The team brings strong expertise in precision instrumentation, strain-based mechanics, sensing signal processing, and data fusion analytics for advancing smart water and transportation management. This unique collaboration integrates theoretical knowledge, product commercialization, and practical applications. Building on patented innovations that embed edge computing and IoT capabilities into precision instruments, the team is developing integrated solutions spanning research, consulting, engineering, and implementation.
While the initial focus was on supporting heavy-duty industries such as construction machinery, mining operations, and waste management, the scope of our team work has expanded to transportation freight and mobility systems – particularly addressing longstanding challenges such as the lack of large-scale roadway health monitoring coverage and chronic infrastructure disrepair, while further advancing intelligent infrastructure and environmental technologies. Current efforts focus on smart truck-mounted mobile sensing systems with specialized capabilities such as real-time cargo weight measurement, pavement damage and road flooding detection, truck safety risk forecasting under varying load conditions, and safety vulnerability assessment for sharp curves, wet roads, and bridges.
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