cement industry? By looking at the color of the flame and touching the fineness of the material, the old master knows how much material should be added, how much wind should be adjusted and how much coal should be thrown-this mode of production of "eating by experience" has lasted for decades. However, the quality of each batch of limestone fluctuates, the proportion of raw materials and the prediction of clinker and cement can only be judged by people, and the cost control is like a gambling game that can not be accurately calculated.
Recently, Beijing CIC Runtian Environmental Protection Technology Co., Ltd. and Beijing Suyuan Matrix Technology Co., Ltd. have formally reached strategic cooperation, and Runtian Environmental Protection has signed A contract to become the A-level agent of Suyuan Matrix. The two sides held a licensing ceremony and technical discussion, marking the formal entry of industrial AI brain technology into the cement industry. The cost reduction of raw materials, clinker and cement is no longer "by luck", but a logical, data-based and traceable scientific process. Tens of millions of benefit improvement projects are about to enter the stage of batch construction and delivery.
First, the top team, to create a new form
of AI in the cement industry, EcoMatrix is a leading "AI4S * Industrial Intelligence" hard-core technology enterprise, committed to the ultimate vision of "AI for Material". The company is led by CEO Han Jiale, a graduate of the University of California, Berkeley and the University of Pennsylvania, who was nominated by the U.S. Department of Energy as an IMPEL Innovator. The core members have double degrees from Brown University and Rhodes Design Institute, and were the youngest industrial designers of Amazon Lab126. This elite team is taking the mission of "building Palantir for China's material industry", taking root in China's industrial scene, and redefining the production mode of cement industry with AI.
2. Hard core products, saving raw materials, improving quality, increasing output and reducing costs
The core product "industrial AI brain" is to build an intelligent optimization system covering the whole process of "raw material proportioning → clinker calcination → cement grinding", which is not a simple superposition, but a cross-process parameter linkage to pursue global optimization. Directly connect the existing DCS/PLC and XRF equipment, without changing the existing production process, superimpose AI decision-making layer on the existing process, and realize the optimization of the whole production process. By integrating the AI model of material reaction mechanism, the
system "precipitates" the experience of the old master into a calculable, traceable and sustainable iterative scientific model, and follows the principle of "minimum intrusion", which can be connected to the production line without major changes in hardware.
1. Raw material optimization clinker prediction module: The traditional raw material ratio and cement grinding ratio mainly depend on the personal experience of process engineers. The daily fluctuation of limestone CaO can reach ± 0.5%, and the manual response takes several hours. The AI module can be adjusted automatically every 30 minutes, which is more than 10 times faster than manual response. The chemical composition and fluctuation trend of raw materials are analyzed
in real time, and key indicators such as free calcium and strength of clinker are predicted in advance in combination with kiln condition data, and the optimal raw meal ratio is automatically recommended. Help cement enterprises to reduce the fluctuation of clinker quality by more than 30%, and lock in the cost advantage from the source. Predict the intensity of 1 day/3 days/28 days in real time, and shorten the knowledge of 28 days to "prediction on the day of kiln discharge". Accuracy target: MAE & lt; 2 MPa | R² > 0.92。
2. Cement optimization and prediction module: cement is made of clinker, gypsum and admixture (slag, fly ash, limestone, etc.) By grinding to a certain fineness on the basis of clinker to produce products of different varieties and grades (P. O 42.5, P. O 52.5, P. C 32.5, etc.). Admixture ratio directly affects strength, setting time, durability and cost. The traditional ratio depends on experience, and the fluctuation of incoming materials can not be responded in real time, resulting in excessive strength surplus (cost waste) or substandard (return risk).
"Industrial AI Brain" focuses on grinding and finished products, accurately predicts the strength of cement at each age based on clinker performance and admixture characteristics, and dynamically gives the optimal dosage scheme of admixture. On the premise of ensuring the quality, it can optimize the admixture by 2-5 percentage points, greatly reduce the production cost per ton of cement, and stabilize the consistency of products.
3. Small mud agent module: This is an "AI co-pilot" specially designed for the cement central control room, which can answer operation questions in real time, automatically generate production reports, warn abnormal working conditions in advance, and give executable control suggestions in the form of natural language interaction. Let the experience of the old master be "accelerated by AI", let the new employees start quickly, and significantly improve the decision-making efficiency of the whole staff and the response speed of the production line.
4. The return on investment calculation
system can usually recover the cost in the first year.
Take the production line with an annual output of 1 million tons of cement as an example:
if the cost per ton is reduced by 8 yuan → 8 million yuan
is saved annually; if the cost per ton is reduced by 12 yuan → 8 million yuan is saved annually
On a single production line with an annual output of 2 million tons in a well-known cement plant in the eastern region, the system of Suyuan Matrix has delivered a hard-core answer sheet: the unit cement cost has been reduced by 3-8%, and the actual profit has been increased by more than 12 million yuan annually; Another user case shows that the annual cost of the production line is reduced by more than 15 million yuan, and the emission of carbon dioxide is reduced by 10000 to 20000 tons.
Fifth, CIC Runtian Environmental Protection, let cement plants use AI to see benefits
in such a cost-sensitive industry as cement, even 1% improvement means tens of millions of benefits. Runtian Environmental Protection has been deeply engaged in the cement industry for more than ten years, and its customers cover many leading enterprises at home and abroad. The cooperation between Runtian Environmental Protection and Suyuan Matrix is bringing AI from the laboratory into the central control room of the cement plant-making "experience refining cement" a thing of the past and "data refining cement" a new normal.
The introduction of the world's leading "industrial AI brain" technology into the cement industry is not a simple data collection, but a "distillation" of the old master's decades of experience into a computable and iterative AI model. The system is like a highly qualified senior process engineer, 24 * 7 real-time analysis of the current equipment operation status and the subtle differences of each batch of raw materials, automatically calculate the optimal process parameters-so that production decisions from "remedy after the event" to "prediction in advance". Let more cement enterprises bid farewell to the traditional mode of "adjusting formula by experience" and move towards a new era of "data-driven, pre-prediction", so that cost reduction is no longer "by luck", but a scientific process with logic, data and traceability.
AI has come, and the future has come. Runtian Environmental Protection Helps Cement Industry Open Intelligent Chapter and Grab AI Dividend!
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