On April 25, at the Intelligent Refining and Chemical Forum of the 2024 China Petroleum and Petrochemical Enterprise Information Technology Exchange Conference, Zhongcong Technology released a full-process intelligent quality monitoring platform (Q-Lab), which injected strong momentum to promote the digital transformation of the process industry, comprehensively improve data value creation, and optimize the closed-loop quality monitoring.

In recent years, industrial digital transformation is entering the stage of “data-centric business change”, and improving the collection, analysis and application of internal and external data is the key to 1753-L32BBBM-8A promote value-added competition and achieve a comprehensive leap in value. Based on the development trend of “taking the basic large model as the technical base and industrial application as the entry point” presented in the industrial field, central control technology is also accelerating the transformation to industrial AI companies, taking “AI+ data” as the competitive advantage, and building the core product system of “4 big data bases +1 intelligent engine“. As one of the four big data bases, the whole process Intelligent quality monitoring platform (Q-Lab) can build a unified whole business flow quality data base for enterprises, uncover the quality fog, and enable quality improvement.

Sun Xiaochen, deputy chief engineer of quality improvement of Zhongkong Technology Co., LTD., said at the launch of the new product that enterprises usually face the challenges and difficulties of massive data, information lag, low detection efficiency, silent asset waste, data island, and low operation and maintenance efficiency in the process of transformation and upgrading, and quality data has become a key window to see through the production process of enterprises, analyze quality problems, and trace blind spots. The whole process intelligent quality monitoring platform (Q-Lab) integrates the three core concepts of comprehensive convergence, accurate analysis and data intelligence integration. Through the introduction of AI technology, major product functions such as production process monitoring, intelligent quality prediction, intelligent quality optimization and intelligent root cause analysis are built. It can monitor the quality process, improve data integrity, predict the quality result, optimize the production process, and realize the monitoring and management of the whole process quality of the enterprise.

1753-L32BBBM-8A

Full convergence

The whole-process intelligent quality monitoring platform (Q-Lab) can penetrate into the whole production process of enterprises, use advanced technologies and methods such as AT, IT and AI to capture quality data, gather whole-scene quality information, and build a perfect quality data model library. The platform includes a number of key components such as acquisition model library, processing model library, storage model library, index model library and open model library. The quality data of every link from raw materials, auxiliary materials, intermediates, finished products and public works can be accurately obtained and standardized, providing a solid data foundation for quality analysis.

1753-L32BBBM-8A Precise analysis

Based on industrial big data model analysis technology, the platform can deeply analyze the internal logic of quality data and dig the deep value behind the data. Through accurate analysis, enterprises can understand the root cause of quality problems, find the key factors affecting quality, and provide strong support for quality decision-making and improvement.

Digital intelligence fusion

The platform deeply integrates AI technology with quality data to realize functions such as abnormal monitoring of production process, correlation analysis of process data, and prediction and early warning of product quality. Through real-time monitoring and analysis of quality data changes in production by AI technology, it can always gain insight into subtle changes in the production process, timely identify potential problems, predict possible quality anomalies, and help enterprises improve quality inspection efficiency and reduce quality costs.

At present, the whole-process intelligent quality monitoring platform (Q-Lab) of central control technology has been successfully applied in industrial scenarios such as intelligent water quality laboratory, intelligent chromatography laboratory, intelligent highly toxic laboratory, and quality prediction of a resin production enterprise, helping enterprises to achieve good results in quality improvement and optimization.

Based on the technology model of “AI+ quality”, Q-Lab can open up the closed-loop channel from business understanding, data preparation, feature extraction, AI modeling, model verification and correction to model application, leading the quality management of process industry to achieve the leap development of all elements, all processes, all value chains, and the whole industrial chain. In the future, central control technology will also continue to cultivate the integration scenario of AI technology innovation and industrial industrialization application, bringing new value and empowerment to the global process industry industrial pattern.