Heavy Bulk-Material Handling Equipment Stress and Strain Online Monitoring
An online stress and strain monitoring system for three heavy bulk-material handling machines, focused on real-time structural load and deformation supervision.
Project Type
Industrial Equipment Monitoring
System Scale
three heavy bulk-material handling machines
Data Output
stress, strain, structural deformation trend
Engineering Value
How the system supported engineering decisions
The project converted key strain points into continuous equipment-health indicators.
Real-time monitoring improved preventive maintenance visibility for bulk-handling machinery.
The public equipment configuration is expressed only through existing DL series products.
Monitoring Content
Monitoring scope and field constraints addressed by the deployment
Multiple heavy machines required comparable monitoring points and consistent channel naming.
The system needed real-time load and deformation visibility during normal working cycles.
Maintenance teams required early status detection support rather than post-event manual inspection only.
System Configuration
Configured system architecture and data path
Field Devices
Welded strain measurement points and centralized DAQ channels
Communication Layer
Wired strain signal routing to the monitoring cabinet and platform
Central Platform
DL monitoring platform with realtime stress display, alarm review, and historical records
Sensor Deployment
Sensor layout and measurement purpose
Unloader structural members
DL-DAQ-001
Centralized strain acquisition from key load-bearing members
Main frame and joints
DL-DAQ-001
Stress and deformation trend monitoring during operation
Equipment control area
DL-SYS-001
Long-duration data records and engineering review
Monitoring center
DL-SYS-001
Realtime display, warning review, and maintenance reporting
Data Analysis Results
Monitoring indicators and interpretation
Working stress
real-time structural response
Operators could observe force and deformation during equipment operation.
Warning support
preventive alarm workflow
The system helped identify abnormal stress trends before maintenance decisions.
Multi-machine coverage
three unloaders monitored
The same monitoring structure was applied across the equipment group.
Engineering Credibility
Reliability, topology, and project validation
99.98%
target data availability
IP67/68
field protection classes
4G/Fiber
site transmission options
RFQ
project-based configuration
Measurement planning
Monitoring object, measurement range, sampling rate, and signal type guide project configuration.
Communication options
DL systems support project configurations using wired, wireless, GNSS, and gateway-based communication methods.
Documentation support
Datasheets and technical selection information are available upon request for RFQ preparation.
Product selection should be confirmed against site conditions, measurement points, installation environment, and expected data output.
Structured RFQ Path
Request path for Industrial Equipment Monitoring Project
Step 1
Define Data Nodes
Sensor, wireless node, GNSS station, seismic unit, or DAQ field layer.
Step 2
Configure Network
Civil infrastructure, industrial equipment, heritage, seismic, or research monitoring chain.
Step 3
Build RFQ Scope
Asset type, measurement points, channels, sampling rate, communication, environment, and duration.
Step 4
Review Proposal
Receive system architecture, product configuration, data output, and engineering review structure.
Project Overview
Engineering context and monitoring scope
In 2023, the operator required online stress-strain monitoring for three heavy bulk-material handling machines. Welded strain measurement points were arranged on key structural locations and connected to a centralized monitoring system.
Client type
Bulk-material handling operator
System scale
three heavy bulk-material handling machines
Project type
Industrial Equipment Monitoring