Intelligent Online Monitoring and Fault Diagnosis System for Large Coal Mining Equipment

Shandong Meian Mining Equipment Co., Ltd. supplies comprehensive lifecycle health management for critical coal mining equipment, online monitoring and intelligent fault diagnosis for large-scale equipment, online monitoring of motor bearing temperature in coal mining electromechanical equipment, online monitoring of motor bearing vibration in coal mining electromechanical equipment, online monitoring of vibration and temperature, and online monitoring of operational status with intelligent fault diagnosis for large coal mining electromechanical equipment.

Device Functions

Large Equipment Online Monitoring and Fault Diagnosis System

Mining Electromechanical Equipment Fault Diagnosis System

Coal Mine Intelligent Online Monitoring

Electromechanical Equipment Full Lifecycle Intelligent Maintenance System

Equipment Intelligent Diagnosis System

Underground Equipment Safety and Reliability Online Monitoring Management System

Equipment Condition Monitoring and Fault Diagnosis

Coal Mining Electromechanical Equipment Health Data Analysis and Diagnosis (Equipment Inspection Intelligent Monitoring System)

Large Equipment Intelligent Fault Monitoring System

Fault Diagnosis, Equipment Health Management and Fault Diagnosis Platform

Electromechanical Equipment Operational Status Online Monitoring Function, Equipment Operational Parameter Monitoring and Fault Diagnosis

Horizontal Vibration Online Monitoring

Vertical Vibration Online Monitoring

Stator Temperature, Bearing Temperature Online Monitoring

Vibration and Temperature Over-Limit Power Cutoff Function

Full Lifecycle Health Management for Critical Coal Mining Equipment and Online Monitoring with Intelligent Fault Diagnosis for Large Equipment

1.Comprehensive Monitoring of Coal Mining Electromechanical Equipment Operational Status

2.Signal Characteristic Analysis and Fault Diagnosis Positioning of Coal Mining Electromechanical Equipment

3.Health Status Management of Coal Mining Electromechanical Equipment

4.Cloud Access and Remote Diagnosis

5.The system has its own remote assistance module and network interface

Alert Functions

Vibration diagnosis technology is widely used for equipment condition monitoring and fault diagnosis. It utilizes vibration sensors placed on different parts of various equipment to determine the internal operational status and issues, as well as to assess the wear and degradation trends of components. Therefore, vibration diagnosis technology is suitable for use with various types of equipment and instruments.

Audible and visual alerts are triggered when vibration exceeds limits, with the host issuing prompt indicators.

Audible and visual alerts are triggered when temperature exceeds limits, with the host issuing prompt indicators.

System Software Functions

Display Functions

a)Real-time data display: Real-time display of vibration and temperature values;

b)Process monitoring display: Dynamic real-time curves to track monitoring parameter data, continuously displaying changes in monitoring data.

c)Historical curve graph display of online measured and processed vibration operational parameters, with the ability to query data from any historical moment.

d)Over-limit alerts for online measured and processed vibration operational parameters in multiple forms.

Mobile APP Terminal Functions

Features flexible collection strategies, enabling scheduled collection, manual temporary collection, and event-triggered collection; possesses self-diagnosis and visual monitoring capabilities for collection communication links; wired collection stations should have key phase synchronization function, meaning: synchronous collection of rotational speed key phase signals and vibration signals for order analysis of variable speed equipment; supports server-configured collection strategy distribution to gateways and edge computing capabilities. (2) The time-series database single instance capacity is not less than 1 million measurement points, compression ratio not less than 50:1, performance not less than 2 million TPS. (3) Includes equipment main component lifecycle management and equipment detection and early warning management functions. (4) Features an expert system supporting real-time online self-diagnosis capabilities; includes parameter quality evaluation function supporting data quality analysis; supports intelligent diagnosis capabilities matching equipment operating conditions; supports instant fault diagnosis reports and automatic generation of periodic diagnosis reports; can provide intelligent diagnosis algorithms and equipment health assessment reports. Equipment Full Lifecycle Health Diagnosis and Management System