Recently, DeepSeek, an AI newcomer that realises powerful functions at ultra-low cost, suddenly burst into flames, setting off a new boom in the industry. In the field of equipment operation and maintenance, SKF has also launched a product with the same concept, Insight Predict, which reduces redundant data transmission and processing to achieve the desired goals through intelligent data collection and edge algorithms on the sensor side.
Accurate monitoring with less data
In device monitoring, data collection and analysis are crucial. Traditional IoT monitoring methods, because of the thick algorithms, usually need to rely on a large amount of data uploaded to the cloud, which not only seriously increases the bandwidth requirements of the communication hardware system, but also gives a great increase in the cost of data processing and storage in the cloud.
SKF Insight Predict takes an alternative approach by using intelligent machine state recognition algorithms on the sensor side to accurately and efficiently collect data from different working conditions of the equipment, reducing the collection of invalid and repetitive data; and by using efficient and intelligent algorithms on the sensor side to complete the signal processing and judgement of the state of the equipment, which greatly reduces the collection and transmission of redundant data. With advanced algorithms and efficient data processing technology, key information is extracted from high-quality data to achieve accurate monitoring of equipment status. Even with a small amount of data, SKF Insight Predict can accurately capture subtle changes in the operation of equipment and detect potential problems in time. It is like a pair of ‘wise eyes’ that can see through the phenomenon to the real condition of the equipment, providing a solid guarantee for the stable operation of the equipment.
Achieve efficient operation and maintenance with less cost
Cost control is a constant theme for organisations, and SKF Insight Predict understands this and is committed to helping its customers achieve higher returns on lower investment. By optimising system architecture and algorithms, SKF Insight Predict achieves high performance monitoring while significantly reducing operating costs.
On the one hand, it reduces the reliance on massive data, effectively reduces data storage and processing costs, and ensures stable data transmission and normal monitoring of equipment even under poor network conditions; on the other hand, the efficient monitoring method can detect potential equipment failures in advance, avoiding production interruptions due to equipment failures and increasing maintenance costs.
Take a factory as an example, after the introduction of SKF Insight Predict, its equipment failure rate has been significantly reduced, production efficiency has been greatly improved, and maintenance costs have been reduced by 30%.
SKF Insight Predict
Seven core advantages, open the equipment intelligent operation and maintenance
Power-efficient Design
Low-power architecture with replaceable battery power supply mode, supporting ultra-long endurance (more than 2 years), with a sleep current of less than 5μA, in line with the long-term monitoring needs of industrial scenarios.
Remote Monitoring
Integration of BLE wireless protocol to achieve 100m long-distance communication, supporting star network and cloud data access.
Embedded Multi Sensing
Vibration + temperature + motor speed multi-parameter measurement, covering the core parameters of equipment health monitoring.
Data Intelligence
Edge computing capability (FFT spectrum analysis, health state classification), support Modbus protocol, automatic alarm for abnormal thresholds.
Industrial Durability
Explosion-proof structure design, IP67 protection level, adapt to -40℃~85℃ extreme environment, anti-electromagnetic interference.
Cost-effective Deployment
Wireless installation reduces wiring costs, low maintenance requirements (more than 2 years of battery life), compatible with multi-industry equipment front/rear mounting.
Transmission Reliability
Self-encrypted network, high synchronisation accuracy, packet loss rate <1%, support for breakpoint transmission and multi-path redundancy.
Towards a Digital Intelligent Future Together SKF Insight Predict and DeepSeek share the same development philosophy of solving real problems in a more efficient and intelligent way. We believe that with its unique advantages, SKF Insight Predict will create value for more enterprises and help them move steadily forward on the road to digital transformation.