Predictive Maintenance for Industrial Automation
PRM.DEV builds Edge AI and Industrial IoT solutions that take equipment maintenance to a new level of reliability and performance. Predictive analytics helps detect failures early, optimise maintenance schedules, and reduce unplanned downtime.
Typical use cases
  • Early bearing defect detection
  • Turbine anomaly detection (power generation)
  • Fan imbalance recognition
  • Bearing lubrication reminders
  • Weak electrical connection alerts
  • Oil contamination monitoring / change alerts
  • Abnormal vibration detection
  • Misalignment detection in rotating equipment
  • Unusual thermal patterns at CHP plants
  • Vehicle braking system fault detection
  • Abnormal readings in medical equipment
Benefits of predictive maintenance
  • Less downtime and stable output
  • Revenue recovery by reducing scrap and downtime
  • Longer equipment lifetime
  • Lower risk of incidents and emergencies
  • Higher line productivity
  • Optimised maintenance costs

PRM.DEV PdM services

Technology stack
  • Cloud / DWH / storage
    AWS: S3, Redshift, DynamoDB, DocumentDB, RDS, ElastiCache
    Azure: Data Lake, Blob Storage, Cosmos DB, Synapse, Kinect DK, Azure RTOS
    GCP: Cloud SQL, Datastore
  • Industrial interfaces
    EtherCAT, PROFINET, POWERLINK, EtherNet/IP, Modbus TCP/RTU, OPC UA, MQTT, HART, IO-Link, PROFIBUS, CANopen, RS-232/485 
  • HMI/SCADA/Web
    TouchGFX, EmWin, uGFX, lvgl, GUIX, Qt (QML, Widgets), JavaScript, Rust, WebAssembly
  • Camera interfaces / standards
    SDI/HD-SDI/12G-SDI, HDMI, MIPI CSI/CSI-2, FPD-Link III, Camera Link, USB, GigE, CoaXPress, GigE Vision
  • Embedded AI
    NVIDIA AI Platform, Lattice sensAI, AMD/Xilinx Versal AI Engine, Renesas e-AI 
  • Big Data
    MongoDB; Apache Hadoop, Spark, Cassandra, Kafka, Hive, ZooKeeper, HBase
  • AI
    TensorFlow, PyTorch, Keras, Darknet, Caffe, CNTK, Amazon ML, Colab 
  • ML libraries
    XGBoost, Apache Mahout, Spark MLlib, Theano, Accord.NET, AForge.NET 
  • AMP
    Linux + RTOS (OpenAMP, Jailhouse, Xenomai и др.)
  • Forecasting
    Facebook Prophet, ThingsBoard Trendz 
  • Build systems
    Yocto, OpenEmbedded, Buildroot, Isar
  • Cloud AI platforms
    GCP, AWS, Microsoft Azure AI 
Industries we work with
  • Mechatronics (conveyors, elevator equipment)

  • Chemical and petrochemical

  • Building and home automation

  • Healthcare and medical devices
  • Light industry
  • Industrial equipment
  • Woodworking
  • Construction
  • Energy and extraction
  • Robotics
  • Mechanical engineering
  • Textile industry
Our offices
Moscow
Troparyovskaya St., 4, bld. 1, room 6A
Moscow 119602, Russian Federation
Innopolis
Universitetskaya St., 7, room 7
420500, Innopolis, Republic of Tatarstan
Contact us to discuss your engineering challenges
We will offer you the best solution!
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