Remote Plant Monitoring and Operation Management Systems (EM3000)

1. High reliability
Many advanced technologies are adopted in the system design such as embedded ones widely used in intelligent IT, J2EE- based system programming software, targeted signal processing and high security network system.
Intelligent and reliable data acquisition unit.
High-security network system.
Targeted data analysis system.
Targeted data pre-processing functions.

2. Easy to operate
B/S structure for convenient browse remotely
Active data visualization and event-driven data association techniques.
Users in intranet can browse full functions without any setting.

3. Easy to expand
Easy to expand in a acquisition chassis up to the maximum channels.
The functional module is expanded at will.
Rapid expansion of system coverage range.
Fast expansion of the scope of technical support.
4. Artificial intelligence
Faults diagnosis of general trains intelligently.
Self-learning intelligently.
Data fusion intelligently.
Data acquisition intelligently.
5. Accuracy
Accurate vector data.
Improving S/N.
Confirming the unique source of information.
Full-information analysis by data fusion technology.
Multi-condition alarm technology.

Constitution of the system
1. System building technologies
Multi-CPU intelligent data acquisition unit based on embedded Linux system.
Full-function data pre-processing technologies.
Vector spectrum analysis system which won the National Science and Technology Progress Award.
Visual and active data driving technology.
Composite intelligent faults diagnosis expert system.
Data mining and fusion technology.
Support vector machines technology.

2. Specifications for data acquisition unit
Wide voltage design(90-132VAC/180-264VAC).
6/12/18 +1 of channels in an independent module with CPU, Each chassis supporting up to seven modules.
Accepting displacement, velocity, acceleration and process signals etc.
Speed tracking anti-aliasing filtering and digital vector filtering.
16-bit A / D convert.
Sampling frequency up to 500 kHz.
Speed range 60 ~ 60000rpm, measurement error <0.05%.
Remote control and parameter setting.
System self-test, bootstrap, automatic networking.
High-resolution static and dynamic data acquisition.
Monitoring cycle time adjustable in 1 to 3 seconds.
Communication rate of 10 ~ 1000Mbps with TCP / IP protocol.
Synchronizing and completed cycles sampling based on the trigger of keyphasor and synchronous sampling based on the trigger of simulated keyphasor.

3. Monitoring functions
Synoptic chart for monitored trains
Trends.
Waveform / Spectrum.
Centerline position / orbit.
Alarm data list.
Team reports.
Data sources for analysis: Online or historical
Analysis methods for steady state
More than 15 methods such as waveform, orbit, centerline, spectrum, vector region, correlation analysis and so on.
Analysis methods for transient state
Bode, polar, cascade, centerline and Campbell diagram.
Analysis methods for data fusion
Vector spectrum, vector power spectrum, cross section perfect information spectrum and precession spectrum
Analysis methods for non-steady state
Wavelet, Wigner-Ville distribution and short time FFT
Other unique analysis methods
Diagnosed faults
Analysis methods for transient state
Bode, polar, cascade, centerline and Campbell diagram.
Analysis methods for data fusion
Vector spectrum, vector power spectrum, cross section perfect information spectrum and precession spectrum
Analysis methods for non-steady state
Wavelet, Wigner-Ville distribution and short time FFT
Other unique analysis methods
Diagnosed faults.