Advanced Analytical Instrument Management System (AAIMS) provides real-time asset maintenance management for a wide range of on-line/in-line process analyzers from simple analytical devices such as pH, conductivity and O2 as well as for complex analytical devices such as gas chromatographs (GC) and Near Infrared (NIR).
AAIMS improves on-line/in-line process analysis efficiency by accurately assessing and displaying the KPIs of each analyzer. AAIMS is a core building block of Yokogawa’s VigilantPlant™ solutions designed for operational excellence to visionary plants by creating an environment where plant personnel can See Clearly, Know in Advance, and Act with Agility.
AAIMS provides many features to improve analyzer performance and efficiency in analyzer maintenance by reducing unnecessary checking and focusing on bad analyzers.
Standard Human Machine Interface (HMI)
AAIMS provides top down overview of analyzers from plant or house/shelter showing real-time analyzer status such as normal, faulty, maintenance etc. One click operation to trigger validation or maintenance. Provides various tools like KPIs, SQC charts and reports to visualize analyzer performance
Support for various types of analyzers
AAIMS supports various types of analyzers ranging from simple to complex analyzers. Supported analyzers include GC , pH, conductivity, O2, NIR etc.
Support for various validation methods
AAIMS supports the following validations
- Reference Validation
- Line Sample Validation
- Reference Measurement Validation
- Filter Method
- Response Time Method
Support for various validation Execution modes
AAIMS supports Automatic Validation,Manual Validation,Schedule Validation and Line Sample Validation
Standardized Operations through Workflows
AAIMS provides standard workflows that can be used to standardize operations for various types of validations and procedures. New workflows can be added to the system if required with minimum effort.
Configurable user inerface through graphic templates
AAIMS provides basic templates for plant/house/analyzer user interface for various types of analyzers. New templates can be easily added to the system and configured according to the customer's needs with minimum effort.
Multilingual Support (English, and Chinese)Multilingual support enables standardizing the analyzer management operations globally. User can select the language at the time of login.
|Hierarchy management||Plant hierarchy||Plant layout configuration|
|System configuration||User configuration||Users and their access rights configuration|
|Entire rule configuration||SQC Rule configuration for the entire plant|
|Timeout setting||Configure timeout settings for validation/ maintenance/breakdown adhoc requests|
|Activity Setting||Configure maintenance and breakdown activities|
|Views||Plant Overview||Displays plant view showing houses status|
|House Overview||Displays house view showing analyzers status|
|Analyser overview||Display detailed analyser status information and basic KPI information.|
|Analyser details||View or set analyser basic information.|
|LIMS data overview||View auto LIMS records.|
|SQC chart||View SQC chart|
|Trend||View the measure values trend chart.|
|Validation||Auto validation||Perform analyzer validation automatically.|
|Manual validation||Perform analyser validation manually.|
|Schedule auto validation||Configure auto validation schedule|
|Validation record view||View or modify the validation records|
|LIMS comparison||Perform validation with laboratorial data.|
|Significant test record view||View the significant test records.|
|SQC chart||View SQC chart|
|Alarms & Events||Alarms record view||View the alarm records|
|Events record view||View the event records.|
|Maintenance||Switch to maintenance||Switch analyser to maintenance mode and record the maintenance information|
|Maintenance record view||View the maintenance records.|
|Breakdown||Switch to breakdown||Switch analyser to breakdown mode and record the breakdown information|
|Breakdown record view||View the breakdown records.|
|KPI||Basic KPI||Basic KPI details like availability rate, breakdown rate, checking rate and reproducibility rate|
|Advanced KPI||Advanced KPIs like MTTR, MTTC, MTBF etc.|
|Rule Configuration||SQC rule configuration||View or set analyser SQC rule configuration.|
Benefits for Management
Reduction in manpower
Reduction of man hours can be achieved through automatic data validation and the use of a statistical analysis tool to plot SQC charts
By maximizing plant operability substantial operational costs can be reduced.
Using the template based engineering approach, deployment and training costs can be lowered.
Reduced use of chemical e.g. the boiler feed water, blowdown etc
Reduction in energy consumption e.g. reduce excess O2 in furnace
Automatic statistical analysis of the analyser data
Automatic statistical analysis of the analyser data and plot the collected validity results and lab comparison results on statistical quality control (SQC) charts
Real-time data accquisition
Automatically collects real-time measured data and fault alarms from analyzers which minimizes manual data handling.
Improvement of analyser performance
Interpret and display analyzer KPIs such as availability,reproducibility, and problem frequency rates to improve analyzer performance.
Improvement in maintenance efficiency
AAIMS enables the following to improve maintenance efficiency
- Automatic data collection and data interpretation
- Documentation of analyser maintenance & validation activities
- Statistical analysis of validation results
- Analyser performance analysis (e.g. KPI,reports)
- Identify good practices and bad actors
- Reduction of unnecessary checking
- Proactive maintenance
Simplified operations interface
Simplified user inerface for analyzer management and monitoring. Drilldown navigation from Plant Overview to House/Shelter Overview and to Analzer Overview
Customizable operations interface
Customizable Interface for all types of analyzers to perform validity checks and maintenance.
Improves operator's confidence
By providing the transperancy of analyzer performance operator's confidence over analyzer performance can be improved
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