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The agency seeks a vendor to provide a remote condition monitoring and predictive analytics system for train control wayside infrastructure. The system must support real-time monitoring and predictive analysis of LA Metro train control assets, including switch machines, interlockings, track circuits, grade crossings, batteries, and ground faults.
The solution must include the hardware, software, associated components, and cabling required to collect, monitor, record, analyze, and predict asset conditions. Required capabilities include automatically generated or manually configured alarm thresholds, asset trend and performance charts, early identification of failure conditions, fault prediction, and comprehensive system reporting. The system must also support alerts and reports through email or text messages.
The solution should be expandable and future-proof, with the ability to add monitoring for additional factors through sensors such as vibration, angle, and temperature. Data acquisition units must communicate through Ethernet or Wi-Fi routers. Vendors must provide flexible cloud or local processing options, along with data protection features including encryption and user credentials.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.