Our predictive maintenance solution has been designed to meet the operational constraints of industrial environments. It installs easily, without production downtime, without wiring, and adapts to both a pumping station pump and a compressor in a clean room.
Concrete example: The sensor can be installed on a pump in a lift station or a compressor in a clean room without stopping production.
The WISE-2410 sensor is delivered ready to use. It attaches directly to the machine using several mounting options:
- Magnetic base for quick placement on metallic surfaces;
- Adhesive support for non-metallic equipment;
- Stud mounting for permanent fixation (not 1/4-28 UNF).
No external power supply is required: it operates on two 3.6V batteries, with a lifespan of up to 2 years (based on one data transmission per hour).
Field tip: The magnetic base allows for installation in less than 5 minutes on metal motors or fans.
The sensor configuration is done via a USB connection and the WISE Studio software. The interface is clear and allows:
- to identify the sensor and the monitored equipment;
- to configure the measurement frequency (up to once every 10 minutes);
- to disable vibration alert thresholds according to ISO 10816 standards;
- to program measurement cycles, sleep mode, or alarms.
Once installed, the sensor automatically communicates with the LoRaWAN gateway (WISE-6610) and sends its data to the central system.
ISO Standard 10816: It defines the acceptable vibration thresholds based on the type of machine and its rotational speed.
Once operational, the system enters a learning phase. During this period, it collects about 200 data sets (vibrations + temperature) to characterize the normal behavior of each machine. This approach allows the embedded machine learning model (based on meta-learning) to identify significant deviations without the need for historical data or complex configuration. At the end of this phase, the PHM algorithm begins to:
- detect anomalies in real-time,
- predict the evolution of the health status in 7 days.
PHM: Prognostic and Health Management refers to a predictive system capable of diagnosing a current state and predicting its evolution.
The collected data is transmitted via LoRaWAN to a WISE-6610 gateway, and then routed:
- either to a private server,
- or to a cloud platform (integration possible via Modbus TCP, MQTT, OPC UA, etc.).
Maintenance teams can visualize:
- key vibration indicators (VRMS, ARMS, Peak, Kurtosis, etc.),
- the temperature of the equipment,
- a global health score based on ISO standards,
- alerts in case of detected degradation.
This allows prioritizing interventions, reducing unnecessary trips, and anticipating production stoppages.
LoRaWAN: long-range, low-power wireless communication protocol, ideal for industrial environments.
To secure your approach, we offer a pilot deployment (Proof of Concept). It allows you to:
- target an initial batch of critical machines,
- validate the benefits over a short period (1 to 2 months),
- build a concrete return on investment before large-scale deployment.
