Home > Article > Technology peripherals > State-owned enterprises use artificial intelligence technology to realize intelligent improvements in sand and gravel aggregate production
On November 16, news came from the China Building Materials Circulation Association. The scientific and technological achievements of the "High-speed Railway Mechanism Aggregate Production and Application Integrated Intelligent Monitoring Platform Research and Development and Engineering Application" participated by the China Railway Fourth Bureau Materials Company won the First prize in the science and technology progress category of the Science and Technology Award selected by the association.
This award is approved by the Ministry of Science and Technology and is a nationwide industry science and technology award initiated and specifically organized by the China Building Materials Circulation Association in the award series of the National Science and Technology Award Office. It is reviewed and awarded once a year.
The above-mentioned scientific and technological achievements are inseparable from the efforts of a young scientific and technological innovation team. The company team aims at the pain points and difficulties in the mining and processing of sand and gravel aggregates in construction, which are affected by uneven resource distribution, unstable quality of finished products, heavy mining environmental pollution, and many factors affecting transportation distance. Introduces artificial intelligence, big data and other AI technologies to improve sand processing The entire process of stone aggregate processing and transportation is automatically monitored and analyzed, making it possible to implement high-quality and large-scale sand and gravel aggregate production and processing.
Since 2019, China Railway Fourth Bureau Materials Company has set the goal of “environmental protection priority, superior quality, wisdom leadership, and innovation drive”. It has successively completed Changjinghuang, Yuxiang, and Xunda in key railway construction projects. , Tongka, Matama and other 6 green sand and gravel processing plants. The processing plant processes previous tunnel ballast waste into high-quality sand and gravel aggregate for project construction, reducing resource waste and achieving the unification of economic, environmental and social benefits. The comprehensive utilization rate of raw materials has increased to 97%, reaching the national green mine standard. The innovative achievements in comprehensive processing and utilization of ballast also won the second prize of "National Management Innovation".
In addition, during the production and construction of sand and gravel processing plants, the company focused on building an intelligent monitoring platform to improve the quality of processed products, and gradually realized the intelligent iteration of the monitoring platform. In 2023, the company cooperated with China Academy of Railway Sciences and other enterprises to develop online monitoring of gravel-machine-made sand-stone powder production quality, environmental monitoring and pollution prevention of machine-made aggregate processing plants, and machine-made aggregate logistics tracking and control based on the Internet of Things. Five major intelligent information monitoring systems, including , use AI technology to add "insight" to the production of sand and gravel aggregates.
“Based on our more than 4 years of practice and continuous research, we have found that when sand and gravel aggregates are processed in a factory, there will be problems such as data lag during indoor monitoring and human factors making it difficult to control the quality of the production process. We have passed the latest With the developed monitoring system, the repeatability error and accuracy error of the detection results have reached a high precision of less than 3%. We have also developed low-cost, low-energy consumption intelligent perception dust suppression equipment to achieve the total dust efficiency of machine-made aggregate processing plants The dust removal rate of respiratory dust reached 98%. The environmental protection standards of production and processing have been further improved. " said Liu Hailin, a participant in this technology project and a post-85s generation deputy general manager of China Railway Fourth Bureau Materials Company.
Editor | Yang Haowei · Review | Yang Xiaodong
Source: China Youth Daily
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