Veros Systems 是一家位于德克萨斯州奥斯汀的工业资产监控公司。我们的旗舰产品 Veros ForeSight™ 提供了一个仪表板，其中包含实时操作指标和关于即将发生的设备故障的清晰、早期警告，并且零误报。工程和维护经理依靠 ForeSight 快速、轻松地了解其设备的运行情况、识别性能不佳的资产并提前几个月收到问题警报，以便他们可以计划和采取行动。这可以减少计划外停机时间，减少安全和环境事故的风险，提高效率，同时最大限度地减少备件成本和维护时间。
Veros Systems的技术栈描绘了Veros Systems在等物联网技术方面的实践。
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Compression Facility Industrial Asset Monitoring Solution
After spending millions on an enhanced oil recovery (EOR) infrastructure, including CO2, compressors, pipelines, injection wellheads, and fluid separators, Chaparral began to see its long-term investment pay off as oil production increased. However, when a CO2 compressor fails, CO2 volumes to the pipeline plummet by 50% or more. The operator needed predictive intelligence to prevent such an event.
Planned Maintenance for Power Generating Company
Having no unplanned outages in multi-unit power plants throughout the late spring, the summer and the early fall months is challenging in the hot Texas weather. An unplanned outage during these months could mean having to purchase replacement power at spot market prices, which could be spiking during the outage. Knowing when and for how long to overload the equipment in power plants is a significant part of operating strategy. Operators need accurate estimates of motor driven pump and fan loading levels to determine operating limits.
relayr is a rapidly-growing IoT company, delivering the most complete IoT solutions on the market for the Digital Transformation of industries. relayr’s protocol-agnostic IoT middleware platform, device management and analytics capabilities, open-source SDKs, and nimble professional services teams are trusted by hundreds of companies worldwide. With relayr, businesses are empowered to implement fully interoperable IoT solutions guaranteed to achieve their target business outcomes.Smarter connectivity. Better business outcomes. Guaranteed.
We offer comprehensive solutions for remote monitoring of road and off-road trucks, locomotives, sea and river vessels, diesel generators (gensets), fuel storages and tanks, technological machines. Major parameters monitored are: fuel consumption, time and engine operation mode, volume and temperature of fuel, operation of attached equipment, axle load.