Rotor Equipment in Special Areas
Download
Rotor Health Monitoring System - Network Edition
Solutions
Instruments
Systems
IIoT
Equipped with Suitable Specialized Sensors
Why is it necessary?
Common Challenges in Monitoring Rotor Equipment in Special Areas?
Varied Environmental Conditions
How to centrally manage rotor equipment in special environments such as high temperature, high pressure, or underwater areas?
Weak Signal in Remote Locations
How to transmit data effectively when equipment is located in remote areas with poor connectivity?
Difficult Software Operation
How to simplify monitoring system settings to make operation easier and facilitate quick handovers?
Difficult Equipment Status Interpretation
How to standardize equipment status assessments using data instead of relying on subjective human experience?
Maintenance Efficiency Evaluation
How to determine whether outsourced maintenance is cost-effective? When should the equipment be serviced?
Data Collection ＆ Work Planning
How to effectively use large amounts of collected data to implement predictive maintenance strategies?
Problem Solving
How to Monitor Rotor Equipment in Special Areas?
Rotor equipment in special areas often operates in extreme or hazardous industrial environments,
which imposes higher demands on their monitoring and maintenance. These requirements include
safety, reliability, durability, and adaptability to special environmental conditions. When
designing, installing, and operating such equipment, relevant safety standards and regulations
must be strictly followed.
Special areas such as chemical plants, underwater zones, high-temperature and high-pressure
environments, explosion-prone areas, and corrosive media require rigorous monitoring to ensure
safe and reliable equipment operation. In addition to strict and challenging monitoring
conditions, it is also necessary to use specially designed sensors that meet environmental
standards and requirements to carefully execute monitoring tasks.
Feature Description
Different Sensors for Different Environmental Conditions
In special industrial environments such as chemical plants, underwater zones, high-temperature and high-pressure areas, explosion-prone zones, and corrosive media areas, RM-IOT-NET Rotor Health Monitoring System (Network Version) selects different types of sensors according to the environmental conditions.
These include dust-proof and explosion-proof sensors, high-temperature resistant sensors, and waterproof sensors. All collected data can be integrated into a central system for unified monitoring in a command center.
Feature Description
Built-in International ISO Standards, Easy to Use Without Technical Background
RM-IOT-NET Rotor Health Monitoring System (Network Version) is suitable for all types of rotating machinery and rotor equipment. The system comes with built-in ISO 10816 and ISO 2372 vibration standards, eliminating the need for users to memorize complex reference tables.
Users only need to select the appropriate standard according to equipment
power and size to easily conduct measurements. No specialized technical
background is required to operate the system.
Furthermore, our system surpasses conventional monitoring software by
incorporating the latest ISO 20816 standard, providing a more
comprehensive measurement framework for rotor and motor components.
Feature Description
Daisy-Chain Network Topology Technology, Reducing Future Expansion Costs
RM-IOT-NET Rotor Health Monitoring System (Network Version) is equipped with four-channel analog input and adopts a daisy-chain network topology. The main system is connected via RJ45 Ethernet module, supporting up to 255 nodes.
Additionally, it seamlessly integrates with AI, FDC, MES, PHM, and SCADA systems. The high flexibility of serial connections significantly reduces system integration costs, meets scalability requirements, and optimizes both space utilization and budget allocation.
Feature Description
Integrate Equipment Inspection Data, Return to IoT Command Center Management
RM-IOT-NET Rotor Health Monitoring System (Network Version) stands out by consolidating data and integrating it into an IoT system. Regardless of the brand of rotor equipment, all status results can be displayed on a single platform, allowing for centralized Command Center Management.
This feature enhances users' ability to assess equipment conditions in real time, reducing troubleshooting time and improving operational efficiency. By combining scientific data management with a comprehensive database, the system enables continuous real-time monitoring, providing a solid basis for predictive maintenance planning and execution.
Feature Description
AI Predicts Degradation, Enables Early Spare Parts Preparation and Maintenance Planning
RM-IOT-NET Rotor Health Monitoring System (Network Version) is equipped with an AI-based degradation prediction feature, integrating a pre-trained monitoring model with Rule-Based Management Principles and Residual Life Prediction.
Users can configure their desired prediction range, such as weekly or monthly forecasts. The system displays trend graphs with a color-coded background (Green, Yellow, Orange, Red) to indicate different levels of degradation, helping users plan budgets and allocate manpower in advance.
Stability of Equipment
in Special Areas
In addition to the challenges of monitoring rotor equipment in special areas, the stability of these devices directly impacts production line operations and product quality. RM-IoT-NET Rotor Health Monitoring System (Network Version) helps users ensure equipment stability and reliability, thereby maintaining the overall stability of factory production lines.
UI Functional Interface
Rotor Quality Standards ＆ Equipment Status at a Glance
RM-IOT-NET Rotor Health Monitoring System (Network Version) is built with ISO 10816 / 20816 / 2372 standards, applicable to various rotary machinery from semiconductor to manufacturing industries (motors, compressors, pumps, etc.). Users do not need to memorize standard tables; they only need to apply the appropriate standard based on motor output range. The software uses color-coded indicators to distinguish equipment status: Excellent, Normal, Warning, and Dangerous, allowing users to make timely maintenance decisions.
UI Functional Interface
Special Algorithm SOA Spectrum Features
RM-IOT-NET Rotor Health Monitoring System (Network Version) features SOA special algorithm developed by GoodTech. It effectively suppresses noise for clearer and more efficient resolution, making early fault detection 4 times more effective than conventional algorithms on the market. The system also provides diagnostic insights based on spectrum features, helping identify potential abnormalities.
UI Functional Interface
User-Defined Standards ＆ Human Experience Management
For specific equipment requiring special management, users can set threshold values for Broadband and SOA
by incorporating human experience or using manufacturer-provided parameters.
The system displays green for normal and red for warnings. When data exceeds the preset threshold,
the values are shown in red warnings, effectively helping users implement graded management of equipment
and ensuring precise monitoring of device conditions.
UI Functional Interface
AI Degradation Prediction for Inventory ＆ Maintenance Planning
The AI degradation prediction function is built with specification-trained monitoring models,
integrating RULE BASE management principles and residual life prediction.
Users can customize the prediction range, such as weekly or monthly forecasts, and view trend analysis through graphical representation.
Background colors indicate different statuses, helping users plan budgets and workforce allocation in advance.
Still wasting time manually compiling statistical reports?
The Motor Rotor Map Inspection ＆ Measurement System includes a built-in report export function, allowing users to filter by region, equipment, status, etc.,
making data compilation faster and more convenient.
Application Targets
Suitable for Various Special Area Equipment
Petrochemical Equipment:
Includes rotor equipment in refineries and chemical plants, such as compressors and pumps,
which often operate in flammable and explosive environments.
Coal Mining Equipment:
Rotor equipment used in coal mining, such as fans, hoists, and coal mining machines,
typically operate in harsh environments with high temperatures, high pressure, and heavy dust.
Offshore Platform Equipment:
Rotor equipment located on offshore platforms, such as generators, water pumps, and fans,
must withstand extreme conditions like seawater corrosion, high humidity, and strong waves.
Steel Smelting Equipment:
Rotor equipment in steel smelting plants, such as blowers, blast fans, and conveyors,
which operate in high-temperature, high-pressure, and high-dust environments.
Power Plant Equipment:
Includes rotor equipment in thermal and nuclear power plants, such as turbine generators and steam turbines,
which function under high temperature, high pressure, and high-speed operation conditions.
Chemical Plant Equipment:
Rotor equipment in chemical plants, such as agitators, reactors, and separators,
which frequently operate in environments with corrosive media, high temperatures, and high pressures.
Core Concept
Layered Management ＆ Predictive Diagnostics
Triple Management Mechanism Provides Accurate Maintenance Guidelines.
Quality Management:
Based on international ISO standards (2372/10816/20816), the system conducts vibration analysis and overall evaluation.
The results are displayed in green, yellow, orange, and red colors, allowing users to take appropriate maintenance
or repair actions based on orange and red indicators. Custom threshold settings are also available.
Feature Diagnosis:
The special SOA algorithm suppresses noise, providing clearer and more efficient resolution.
It enhances early fault detection effectiveness by four times compared to other market algorithms.
Additionally, it offers possible abnormal feature diagnostics based on spectral characteristics.
Predictive Anomalies:
The system incorporates leading AI algorithms, collecting massive data for cross-analysis and visualization.
It predicts equipment degradation trends over the next 7 days, providing users with more precise maintenance scheduling.
Core Concept
RM-IoT-NET Ensures Reliable Management
Layered Management
Easy Expansion
Flexible Architecture
Centralized Management
Enhanced Efficiency
Real-time Monitoring
Architecture Overview
RM-IOT-NET Rotor Health Monitoring System (Network Version)
(Network Topology)
Support
Other Rotor Equipment Related Topics
