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Digital Management System for Fully Automatic Wet Spraying Boom Trucks

Release time:

2026-04-07

Source:

Author:


Summary:

Digital management of fully automated wet-spray trolleys leverages modern information technologies to collect, analyze, and apply data throughout the entire equipment operation process, thereby achieving refined, intelligent, and scientifically informed equipment management. This management model significantly enhances equipment utilization efficiency and reduces operational costs.

I. Data Acquisition System

Operation Parameter Collection

Comprehensive monitoring of equipment operating status:

1.  Equipment operating parameters: pumping pressure, flow rate, rotational speed, etc. 32 A core parameter

2.  Energy consumption data: fuel consumption, electricity consumption, hydraulic oil consumption, etc.

3.  Operating parameters: concrete mix proportion, shotcrete application rate, rebound ratio, etc.

4.  Environmental data: temperature, humidity, altitude, and other environmental parameters

Condition monitoring data

Equipment Health Status Record:

Equipment operating time: cumulative operating time of each component

Maintenance and Servicing Records: maintenance dates, scope of work, parts replaced, etc.

Fault Log: including fault occurrence time, fault type, and handling process, etc.

Performance Degradation Data: Trend of Performance Changes in Key Components

II. Data Transmission and Storage

Real-time data transmission

Multi-channel data transmission:

4G/5G Wireless Network: Enables Remote Real-Time Data Transmission

Wireless Local Area Network: On-site Data Transmission and Device Interconnection

Bluetooth Transmission: Short-Range Data Transfer and Device Debugging

Satellite Communications: Ensuring Communication in Remote Areas

Data Storage Management

Tiered Storage System:

1.  Local storage: built-in memory in the device controller

2.  Edge storage: temporary storage on the construction site server

3.  Cloud Storage: Permanent Storage on a Cloud-Based Big Data Platform

4.  Backup System: Multi-Point Backups Ensure Data Security

III. Data Analysis Applications

Operational Efficiency Analysis

Equipment Utilization Efficiency Assessment:

Equipment utilization rate: the ratio of actual operating time to available operating time.

Work Efficiency: Analysis of Concrete Spraying Volume per Unit Time

Energy Efficiency: Statistical Analysis of Energy Consumption per Unit of Work

Cost-Effectiveness: Activity-Based Costing and Output-Benefit Analysis

Predictive maintenance

Data-driven maintenance decision-making:

1.  Fault Prediction: Predicting Equipment Failures Through Data Analysis

2.  Life Prediction: Remaining Life Assessment of Critical Components

3.  Maintenance Optimization: Optimization of Maintenance Plans Based on Equipment Condition

4.  Spare Parts Management: Intelligent Forecasting of Spare Parts Demand

IV. Management Decision Support

Performance Management

Data-driven performance appraisal:

Operator Performance: Assessment of Metrics such as Work Efficiency and Energy Consumption Levels

Equipment Performance: Evaluation of Equipment Reliability, Maintenance Costs, and More

Project Performance: Analysis of Equipment Utilization Efficiency and Costs

Supplier Evaluation: Quantitative Assessment of Equipment Performance and Services

Optimize decision-making

Data-Driven Management Optimization:

1.  Equipment Configuration Optimization

2.  Work Plan Optimization

3.  Maintenance Strategy Optimization

4.  Procurement Decision Support

V. Intelligent Applications

Intelligent Dispatch System

Data-driven job scheduling:

Real-time monitoring of device location and status

Intelligent Assignment of Homework Tasks

Optimize work routes and sequences

Automatically generate a scheduling plan

Automatic Report Generation

Intelligent Document Management:

1.  Automatic Generation of Operation Reports

2.  Maintenance reminders are sent automatically.

3.  Automatic cost calculation

4.  Automatic Generation of Performance Reports

VI. Safety Management

Data Security Assurance

Comprehensive Data Protection:

Data transmission encryption: adopts SSL/TLS Encrypted transmission

Data Storage Encryption: Database-Level Encryption Protection

Access Control: Multi-Level Permission Management System

Operation Log Recording: Complete Record of Operation Trace

System Reliability

Continuous and stable operation assurance:

1.  System Redundancy Design

2.  Automatic backup mechanism

3.  Automatic failover

4.  System Monitoring and Alerting

VII. Continuous Improvement

Data Analysis Optimization

Continuously enhance data value:

Data Quality Monitoring and Improvement

Analysis Model Optimization and Update

Well-established reporting system

User Experience Enhancement

System Upgrade and Expansion

Development that keeps pace with the times:

1.  New features are continuously being added.

2.  Continuous performance optimization

3.  Continuous interface expansion

4.  Continued compatibility improvements

Conclusion

The digital management of fully automated wet-spray trolleys is a key indicator of the modernization of equipment management. By establishing a comprehensive system for data collection, analysis, and application, equipment management has become more refined and intelligent, significantly enhancing equipment utilization efficiency. With the advancement of big data, artificial intelligence, and other technologies, digital management will evolve to deeper levels and broader scopes. It is recommended that enterprises increase investment in digital management, build specialized teams, refine management systems, fully leverage the value of data, and continuously elevate the level of equipment management.