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New method for online detection

2016-12-06View Original

Thread Content

Industrial automation is the direction of industrial development. At present, online monitoring has been achieved for a range of simple parameters such as temperature and pressure. However, there are still some parameters such as conversion rate, degree of polymerization, Mooney viscosity, and melt index that cannot be measured directly using instruments due to process and technical limitations; therefore, offline testing methods must be used, which not only requires significant human and material resources but also results in delays in obtaining the test data. There is now a detection system that can monitor in real time, online, data that cannot be detected by conventional instruments. It also includes automatic or semi-automatic mechanisms for adjusting parameter settings, so that the actual values match the requirements set for production. This helps to reduce the rate of defective products, improve product quality, ensure production safety, and lower energy consumption. This system makes use of the existing signals at the production site (temperature, pressure, flow rate, etc.), and adds several measurement points in appropriate locations depending on the specific project (by purchasing mature hardware devices from domestic and international manufacturers such as Rosemount or Henghe). The signals required for detection are fed into intelligent instruments for model calculations, while the test results of samples on-site are used to adjust the parameters. The core technical advantage lies in the fact that the products are entirely developed through independent research. By taking into account the nature of various testing objects, the manufacturing processes, and the surrounding environment, corresponding models are created and design solutions are developed, ensuring that the products fully meet the actual requirements of production.
Reply #22016-12-06
Thank you for your support of our technology. We focus on conducting online monitoring of various parameters such as concentration and viscosity in the chemical production process, to facilitate better control over production.
Reply #32016-12-06
Thank you for your support of our technology. We focus on conducting online monitoring of various parameters such as concentration and viscosity in the chemical production process, to facilitate better control over production.
Reply #42016-12-07
The higher the degree of automation, the more comprehensive the monitoring for safe production becomes.
Reply #52016-12-07
Yes, that’s correct. Our online monitoring is aimed at measuring various parameters such as concentration and viscosity during chemical production processes, which helps to facilitate control over production.
Reply #62016-12-07
What do you do here? You can leave your contact information so that I can send you our materials on online testing for your review.
Reply #72018-03-14
Concentration is an important quality parameter in the production of water-coal slurry. In China, the level of automation in the manufacturing processes of water-coal slurry is generally low; operations mainly rely on offline analysis, manual adjustments, and empirical control methods. This results in low production efficiency, high resource consumption, and unstable product quality, thereby hindering the development of the water-coal slurry industry. Online monitoring technology enables the concentration of water-coal slurry to be displayed in real time on the DCS, just like temperature and pressure. According to the laws of fluid mechanics, when a fluid flows through a vertical pipe, the pressure difference between any two measurement points consists of two components: the static pressure difference and the frictional resistance. The static pressure difference, with the positions of the two measurement points remaining constant, depends on the concentration (density) of the fluid. To accurately obtain the concentration information of the medium from the differential pressure output signal, it is necessary to remove the frictional resistance signal from the measured differential pressure signal. In addition, errors caused by changes in the dielectric temperature and ambient temperature will also be compensated for. By detecting the differential pressure and temperature signals, the coal water slurry concentration is calculated using a model. Once this system is in operation, on-site staff can read the water-coal slurry concentration values in real time online, and make adjustments accordingly based on the process requirements
Reply #82018-03-28
How do you measure Mooney viscosity online? Is it by measuring viscosity? What is the conversion relationship between these two?

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