Prescient low code predictive maintenance kit

  • May 3, 2022
  • William Payne

Edge data automation specialist Prescient has released a low code predictive maintenance kit for industrial workplaces. The kit has been developed together with National Control Devices (NCD), an industrial wireless sensor provider, and WAGO, an industrial data integration specialist.

The Prescient Predictive Kit dataflow is a low-code solution. It allows customers to collect NCD wireless sensor data, quickly create alerts, and display sensor data and alerts on a local or cloud-based dashboard.

The Prescient low-code solution allows customers to quickly visualise sensor data and customise the detection algorithm. They could for example analyse vibration data in the time-domain, or analyse vibration data in the frequency domain, or feed the data into a machine-learning model.

The Prescient Predictive Kit includes an NCD wireless predictive maintenance sensor, a WAGO edge computer, and a low-code predictive maintenance template dataflow inside Prescient’s Designer data automation software.

The NCD wireless predictive maintenance sensor includes a vibration sensor with a frequency range between 1.56Hz to 6.4kHz and a sample rate up to 25.6kHz. It also includes an AC current sensor with a range up to 100A RMS, and a high-grade k type thermocouple temperature sensor with a rating of 260 degree-C. The NCD wireless predictive maintenance sensor has an encrypted communication range of up to two miles.

The Linux-based WAGO Edge Computer features an Intel Atom E3845 Quadcore 1.91 GHz processor, 8GB of RAM, and supports a variety of physical interfaces. In addition, the Prescient Predictive Kit is compatible with WAGO’s full line of edge controllers and computers, ranging from small, compact controllers to Intel i7-based edge computers, giving customers full flexibility in choosing the edge computing power they need.

Anil Bhaskar, NCD’s CEO, said, “Our predictive maintenance sensor is specifically built to predict the failure of rotary machines based on vibration, current, and temperature data. It is one of the most advanced predictive maintenance sensors on the market. Its industrial performance and long-range wireless capability mean that it can monitor machines operating in the most difficult environments.”

“Modern control systems require highly capable computers and that’s where the WAGO 752 Edge computer family fits,” said Jesse Cox, WAGO’s Senior Application Engineer. “We can pair these with low-code technology innovations like Prescient Designer and Prescient Edge runtime, and hardware leaders like NCD sensors to bring the most advanced functionality to your control system’s edge-of-network.”

“At Prescient, we’ve been working on predictive maintenance projects for many years,” said Ashish Yadav, Prescient’s Director of Software Development. “We have seen many different requirements so we’re happy be able to bring the benefits of this experience to the marketplace.”