PREDICTIVE CONDITION MONITORING
Railway operators are continuously looking for ways to prevent catastrophic incidents such as derailments or collisions. Operators have invested heavily in asset protection devices that help with the early identification or prediction of failures.
OSCAR’s success has resulted in an astonishing array of instruments being fitted to railways around the world anything from a simple brittle bar derailment detector, to highly technical video and laser measurement devices. These calculate anything from heat, wear patterns, angle of attack and much more.
The devices produce a staggering amount of information. With some railways operating hundreds of devices across a huge expanse of territory, the amounts of data produced can be massive. Users must spend extensive time cross-referencing data in spreadsheets and searching for information within various systems. When such volumes of data are available, problems can be missed and errors will indefinitely occur.
The OSCAR system has been designed to integrate data from all asset protection systems, providing an automated predictive maintenance system, thus drastically reducing human errors.
OSCAR collects, compiles and analyses data from various types of asset protection devices (both wayside and on-board) to create a composite view of railway vehicle performance.
OSCAR provides a single interface to obtain all information about the health of the assets being monitoring. This allows users to drill down to existing interfaces from each asset protection system. It is a large warehouse performance data that is surrounded by application layers that allow users full access to said data at the most beneficial level. The database is structured to allow the addition of new monitoring devices or sources of data with ease.
Data has proven valuable in testing through the comparative relationship between differing loads, speeds and braking events prior to arrival and a Hot Bearing and Wheel Detector (HBWD). OSCAR also includes data from the Wheel Impact Load Detector (WILD), Bearing Acoustic Monitor (BAM), Dragging Equipment Detectors, Wheel Profile Measurement Systems (WPMS), Brake Block Monitoring Systems and Stream Flow Detection Systems. These are used to provide further information about the condition of railway vehicles. This information is used to score against readings and generate independent reports based on their alarm thresholds and values.
Benefits are derived through the delivery of the processed information as quickly as possible. Within the limits imposed by available communication systems, OSCAR provides near real-time notifications of important events on monitored vehicles to its users. This is particularly useful for maintenance crews to cull rail vehicles in need of immediate repair.
OSCAR reduces maintenance costs by lowering the incidence of unnecessary maintenance or service on vehicles. It also enables higher utilization and lower costs through scheduled maintenance at facilities when railcars are empty. In addition, OSCAR can monitor post maintenance performance to provide a quality control check on the maintenance performed.
当职业等与软件一起使用gress Rail’s Locomotive Information System (LIS), OSCAR can also provide valuable information on locomotive and driver performance.
管理
分析人员
Maintenance Personnel
Dashboards can also be created to identify trends, provide hit lists (i.e. Top 10 Alerts) or analyze bearing and wheel group performance. OSCAR provides a simple to use dashboard system that allows users to generate graphical reports including:
Dashboards can also be created to identify trends, provide hit lists (i.e. Top 10 Alerts) or analyze bearing and wheel group performance. OSCAR provides a simple to use dashboard system that allows users to generate graphical reports including:
PLAIN LANGUAGE SEARCH FACILITY
OSCAR utilizes a simple to use search facility. Plain language text and simple to use point-and-click help systems allows users to form complicated queries in seconds. The same search parameters are used when building a dashboard as searching data – simplifying the promotion of users to manage, quickly, and with no additional training.
WEB-BASED USER INTERFACE
By using industry-standard web-based user interface technology, OSCAR has been developed to minimize the effort to access the system. Benefits to this include:
BUSINESS SYSTEM INTEGRATION
OSCAR has been designed to integrate into other business systems, including:
Rail Historians
Maximo
SAP
Web Services
OEM sockets
Access train name information
AUTOMATED ALERTS
OSCAR is designed around the principle of augmenting the human factor when analyzing asset protection data. As such, it is necessary for interfaces to be utilized to pass the results of this analysis to down-stream systems. The alerts are capable of being sent to multiple systems and currently include:
Additional interfaces are readily defined and implemented within the OSCAR architecture, allowing alerts to be passed via different mechanisms to other systems.
HISTORIC RECORDS
Select readings for a vehicle by specifying the date range and AEI number
AUTHENTICATION
User Authentication levels allow individual users or groups of users to receive alerts, notifications and administrative privileges. This allows Condition Monitoring teams to work on identifying trends and potential performance issues, without affecting on-going operations and alerts. Users can be segmented into those who are allowed to create and modify alert criteria, and those who can view and action the alerts created. Finally, all activities each user performs that affect the database are logged for later auditing, should it be required.
INDUSTRY STANDARD TECHNOLOGY & PLATFORM
As OSCAR operates on standard Microsoft Server platforms, it is Virtual Machine ready and easy to deploy. This minimizes deployment costs through the use of client-supplied virtualization. Alternatively, Progress Rail can provide a high-availability deployment platform to host the operation.
The benefits of this system extend far beyond their cost. This includes: