Industrial furnaces are an important part of production systems in the cement, chemical, steel and power industries.
Industrial furnaces are an important part of production systems in the cement, chemical, steel and electric power industries. There are widespread problems such as high labor costs, high production fluctuations, frequent failures and high energy consumption. The traditionally-centered production control model has been unsustainable. Taking cement production as an example, the traditional 5KTPD production line has required the production and operation personnel to be reduced from 300 to less than 100.
Guo Dingyuan is aiming at the above problems, taking the intelligentization of industrial kiln as the core entry point, providing intelligent control equipment, stable production fluctuation, process optimization and energy saving for large industrial enterprises in the cement, chemical, steel and electric power industries. Core values such as emission reduction, equipment operation and maintenance, and predictive maintenance.
We have taken a look at the three core businesses provided by Guo Dingyuan to see how Guo Dingyuan can create value for customers.
First, solve the problem of production fluctuations by intelligently controlling products.
The so-called “production fluctuation” refers to the instability of the production process due to fluctuations in production factors such as raw materials and equipment conditions, resulting in high energy consumption, high emissions, unstable quality, high equipment failure rate, and reduced production. Series of questions. The traditional method of controlling production fluctuations mainly relies on manual adjustment and control of various parameters in the production process, but personnel experience and capabilities are uneven, and personnel recruitment is difficult and labor costs are high.
Guo Dingyuan’s solution is to use computers instead of people to adjust. Based on advanced control algorithms, data is collected and controlled by sensors, control hardware, etc.
The the core difficulty is the “adjustment algorithm”, which is embodied in the cement, chemical and other process manufacturing lines where the industrial furnace is located is a complex system with a large correlation between elements. In addition, the production line is very long (may be several kilometers), the delay is large, mutual coupling, and the adjustment feedback is not timely.
How to build a better adjustment algorithm? Guodingyuan is mainly realized through three kinds of technical means. The first one is the classic control algorithm already in the industry, which is often more general and extensive, and needs to be optimized in specific scenarios. The second is the expert system. Guo Dingyuan has created a standard knowledge collection model, which precipitates and edits the expert experience into a control algorithm. The third is to analyze, predict, etc. by means of AI technology such as deep learning. Guo Dingyuan has achieved advanced control for complex scenes by integrating three types of technical means.
Looking at a specific case, Guodingyuan’s intelligent expert real-time control system has been applied in Zaozhuang Wofeng Cement Plant to save 3kg of coal per ton of cement clinker, and directly save coal cost every year>3 million. The control room saves 40% of manpower.
In the previous section, we introduced how Guodingyuanchuang can help customers control production fluctuations. Further, Guoding Yuanchuang helps customers to carry outProcess optimization, energy saving and emission reduction, etc.. For example, big data analysis on the production line, macro adjustment of process parameters, reconfiguration to achieve large system optimization, and real-time intelligent parameter adjustment of intelligent sensing raw materials and equipment conditions in the production process, and where the use of equipment is unreasonable, Suggestions for optimization and transformation, etc.
The third core value provided by Guoding Yuanchuang is equipment operation and maintenance and equipment predictive maintenance. On the one hand, the parameters are adjusted to make the equipment in an optimal state, thereby reducing malfunctions and prolonging the use time. On the one hand, it is to predict faults in advance and arrange maintenance and repair. Guo Dingyuan’s equipment fault diagnosis and prediction from the process faults to reverse the equipment failure trend, through the process and equipment and the correlation analysis between them, in order to overcome the traditional equipment-centric effective data volume is difficult to build accurate models problem.
Based on the above core solutions and values, Guodingyuan has taken the cement industry as the core entry point, due to the high degree of process similarity in the cement industry, easy to copy and promote; the core members of the team in the cement industry With more than 20 years of experience and rich resources; the cement industry has achieved good returns and strong ability to pay in the past few years; the cement industry involves environmental issues, the factory is biased, and there is a shortage of labor.
Profit mode At present, Guodingyuan has collected an annual service fee of several hundred thousand yuan, or the cost of intelligent transformation of the entire production line. The future plan is to cooperate directly with the mode of the external operation and maintenance team. Benefit sharing, or earn part of the customer’s original operating and maintenance budget. It is understood that Guoding Yuanchuang began commercialization in 2018, and its revenue in 2018 reached 10 million yuan. It is expected to double in 2019.
Specifically to Commercialization progress, Guodingyuan Chuang has completed the first line acceptance with Shenfeng Cement and Chiba Cement, and reached a second line of cooperation. Cooperated with Tianrui Group, Henan Dadi Cement Group, Huaxin Cement Group, Qingzhou Zhonglian Cement and other cement group companies to form an order. Established long-term cooperation with China National Building Materials Nanjing Institute to jointly develop and sell cement plant intelligent control expert system.
Core team, Guo Dingyuan CEO Wang Wenyuan is a doctoral (post), management engineering major at the National University of Defense Technology. From 2011 to 2016, he served as the company’s technical leader and led several military control projects. In March 2017, Beijing Guodingyuan was founded to attack the advanced control of industrial furnaces. CMO Suxing has 10 years of experience in the cement industry, masters more than one-third of the customer resources in the cement industry, is familiar with the structural characteristics of industrial furnaces, and has extensive field experience in the fine control of the process.
Guoding Yuanchuang completed millions of days of investment in 2018To make round financing, a new round of financing has been launched.
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I am a reporter Chen Shaoyuan, concerned about technology, Internet of Things, exchange or seeking reports plus WeChat: 963757163, please indicate the company, position, name.