CNOOC and Dongfang Hope algorithm competitions compete on the same stage, and Zhongyun Technology's early warning and diagnostic dual-high accuracy leads the industry benchmark!

In today's rapidly changing technological tide, predictive maintenance and health management of industrial equipment are gradually becoming an important force driving industrial upgrading. In this force, Zhongyun Technology, a shining star in the field of equipment maintenance, is gradually emerging as an industry leader with its excellent algorithms and innovative capabilities!

01 CNOOC - Diagnostic Algorithm Evaluation

Recently, Zhongyun Technology has achieved remarkable results in the field of intelligent maintenance of industrial equipment. In the strict evaluation of CNOOC, Zhongyun Technology's algorithm is like possessing the magical power of "foreseeing the future".

Early warning accuracy rate as high as 82% Above

The diagnostic accuracy rate also exceeded 65%

Both indicators ranked first, directly leading the entire competition, leaving other competitors far behind! This is not just a number, but the best proof of Zhongyun Technology's algorithm strength!

▲CNOOC diagnostic algorithm evaluation results

02 Dongfang Hope - Intelligent Diagnosis Blind Test Competition

In the blind test competition of Dongfang Hope Group, Zhongyun Technology demonstrated the "unique" charm of its algorithm.

Early warning accuracy rate exceeding 78%, surpassing all others, firmly in the top spot!

The diagnostic accuracy rate also reached over 52%.

Excellent results ranked among the top, winning high praise from customers and an honorary certificate!

Such results not only prove the high efficiency and accuracy of Zhongyun Technology's algorithm, but also demonstrate its leading position in the industry.

▲May 9th Xinjiang Dongfang Hope Intelligent Diagnosis Blind Test Competition Results

▲Dongfang Hope Algorithm Blind Test Competition Honorary Certificate

Collect sensor data, log data, and operation records from industrial equipment, including various indicators such as temperature, pressure, vibration, and current. After cleaning and feature extraction, according to the architecture of the fault classification model, early warning and alarms are performed. Confirmed faults can be used for online training. The overall framework of the algorithm is shown below:

Zhongyun Technology has the most comprehensive algorithm models in the industry. Nearly 100 diagnostic algorithm models, Including mechanism models, AI models, fixed threshold models, dynamic threshold models, and trend threshold models, etc. And Covers more than 90% of industrial equipment failure models , including fault frequency, shaft trajectory, waveform characteristic values, pulse speed, power spectrum...

Prior knowledge + small sample algorithm achieves 95% accuracy in intelligent diagnosis of equipment faults, zero missed faults 。

Common faults:

03 Zhongyun Technology Algorithm Advantages

Predictive maintenance and health management of equipment faults

High accuracy:

Zhongyun Technology's algorithm seems to possess the "heavenly eye" that can see everything, and it is fully aware of the operating status of industrial equipment. It has achieved extraordinary results in two algorithm evaluation competitions. This fully demonstrates the advantages of its algorithm in terms of accuracy.

Strong adaptability ：

Zhongyun Technology's intelligent maintenance algorithm can adapt to different equipment and environments, meeting various complex maintenance needs. This is due to the high flexibility and scalability of its algorithm.

Strong real-time performance : Zhongyun Technology's intelligent maintenance algorithm can monitor the operating status of equipment in real time, promptly discovering and handling abnormal situations. This helps maintenance personnel respond quickly and reduce the impact of faults on business.

High level of intelligence: Zhongyun Technology's intelligent maintenance algorithm not only has basic monitoring and early warning functions, but can also continuously optimize its own performance and improve maintenance efficiency through machine learning and artificial intelligence technology. Human experience + AI algorithm achieves zero missed reports of equipment faults 。

Algorithm competitions are not only a contest of technology, but also a platform for exchange and learning. We are very pleased to participate with many excellent peers and jointly explore cutting-edge technologies and innovative applications in the field of intelligent maintenance. Through the competition, we have deeply felt the core value and key role of algorithms in intelligent maintenance.

Once again, thank you CNOOC and Dongfang Hope Group for the opportunity and support, allowing us to showcase our algorithm strength and learn and grow together with our peers. Next, Zhongyun Technology will continue to strive to live up to expectations, using algorithm software to create new productive forces, bringing new methods, new models, and new business formats to the process manufacturing industry, and playing a multiplier effect!