Researches concerning the data processing used in feeding and dosing systems optimization (original) (raw)
Related papers
Research results of experimental automated system for dosing bulk materials
20th International Scientific Conference Engineering for Rural Development Proceedings, 2021
Automated systems for dosing bulk materials are widely used in agriculture, but the issue of measurement accuracy remains relevant. The studies were carried out on a developed laboratory setup. The results of the installation were investigated when dosing various bulk materials-softwood sawdust, wood flour, wood shavings. After processing the results of the conducted studies, regression models are constructed showing the influence of the parameters of the automated dosing system on its accuracy of weighing the materials under study. Work on the auger series DS-100 with size: step turns 90 mm, outer screw diameter 100 mm, height of the pen spiral 29 mm. The influence of the parameters of the dosing system on its weighing accuracy was studied. Experimental studies were conducted using the theory of experimental planning Box-Behnken design was implemented for four factors. When choosing the intervals of the studied parameters, we proceeded from the minimum and maximum values of the parameters set in the control program of the dosing system. The adequacy of the constructed models is shown. The parameters that have the greatest influence on the relative error of weighing the automated system are determined. The zones in which the system operation meets the requirements for metering devices are highlighted. Recommendations are given for choosing the optimal values of the parameters of the dosing system when weighing sawdust of coniferous species. With the help of the DS-100 series dispenser, it is possible to dose wood flour and sawdust with a mass of 1 kg with an error not exceeding 5%.
High Precision Extrapolation Method in Dynamic Dosing Systems Based on Weight Measuring Principles
2000
A method and a technical solution are suggested in order to increase precision of worm- and-wheel dosing systems (bagging machines) operating on weight measuring principles. The results from the weight measuring are processed by using Fourier transformation and extrapolation of the weight transformation curve. The method is applied in an algorithm for controlling a flour-bagging machine. Dosing of bulk materials
Intelligent system for improving dosage control
Acta Scientiarum-technology, 2017
Coagulation is one of the most important processes in a drinking-water treatment plant, and it is applied to destabilize impurities in water for the subsequent flocculation stage. Several techniques are currently used in the water industry to determine the best dosage of the coagulant, such as the jar-test method, zeta potential measurements, artificial intelligence methods, comprising neural networks, fuzzy and expert systems, and the combination of the above-mentioned techniques to help operators and engineers in the water treatment process. Current paper presents an artificial neural network approach to evaluate optimum coagulant dosage for various scenarios in raw water quality, using parameters such as raw water color, raw water turbidity, clarified and filtered water turbidity and a calculated Dose Rate to provide the best performance in the filtration process. Another feature in current approach is the use of a backpropagation neural network method to estimate the best coagul...
Intelligent system for improving dosage control
Acta Scientiarum. Technology, 2017
Coagulation is one of the most important processes in a drinking-water treatment plant, and it is applied to destabilize impurities in water for the subsequent flocculation stage. Several techniques are currently used in the water industry to determine the best dosage of the coagulant, such as the jar-test method, zeta potential measurements, artificial intelligence methods, comprising neural networks, fuzzy and expert systems, and the combination of the above-mentioned techniques to help operators and engineers in the water treatment process. Current paper presents an artificial neural network approach to evaluate optimum coagulant dosage for various scenarios in raw water quality, using parameters such as raw water color, raw water turbidity, clarified and filtered water turbidity and a calculated Dose Rate to provide the best performance in the filtration process. Another feature in current approach is the use of a backpropagation neural network method to estimate the best coagul...
The Technical System and Responsibility to Manage Respective Production Dosing System
2020
The paper is focused on computer production systems. The computer network is competitive to give corresponding communication, and not only this, to share data, and to have respective command, on the client-side, end-user, etc. The paper also gives the solution to how to create a model and algorithm, which is responsible to command-and interconnect all the questions related to this system and to implement them concretely in the company. For example, the management of the industrial system requires a more professional approach in terms of building a corresponding algorithm, to be available and to manage through the computer control system. Also, here must emphasize that this point of view in the paper, is only, one part, of any general structures design and to support the company, but here the paper describes, the main objectives, which is necessary to realize all the opportunity, in the production systems. The paper also gives us specifically address the construction of the technical...
2020
Abstract. The research which results are herein presented, tackle the dosage process optimization in small and medium-sized enterprises. The technical dosage equipment ETD can be interposed in a mill technological flow, in different points of processing the quantitative information, according to the electronic unit program, as well as within combined fodder factories, where several dosage installations may be coupled, and through a central computer, different networks can be achieved, by means of appropriate adjustments. Within the technological flow, the technical dosage equipment performs two main functions: 1) automated setting of product flow rate for a programmed value and maintaining this value within certain preset limits, by respecting the regulations in force concerning the dosage precision imposed for this equipment type; 2) automated control of quantities of products passing through the dosage equipment in a certain period of time. In this paper the experimental tests for...
Researches on Automation of Dosing and Sacking Process of Finished Agricultural Products
2014
Researches whose results are presented in this paper are on the topic of optimizing the dosing and sacking process in small and medium capacity productive units..The technological equipment for weighing and automated management EWAM, developed at INMA Bucharest performes simultaneously two operations: automated bag weighing of the programmed quantity of product and automated management of the quantities of sacked finished products on an indefinite period of time.In this paper there are presented the experimental researches for this equipment, working quality indices determined with highlighting the advantages of using this type of technical equipment in the flow of small and medium capacity milling units in villages
Automatic Weighing Control System for Quality Assurance
This project presents the idea of using Rheostat (Variable resistance) for auto weighing control system for automation industry. Auto weighing control system is used for assuring the quantity of liquid filled in the bottles to be exactly as per standard reference. The progressive invention in auto weighing system is becoming an important task especially because of rising demand of products and declining labour availability in industry. In industry the production speed should be high because demand of the product is more. But when we check the weight of the object manually then it will take more time for checking the weight and overall speed of the production will decrease. Hence the purpose of this project is to increase the speed of production and efficiency.
<b>Intelligent system for improving dosage control
Acta Scientiarum-technology, 2017
Coagulation is one of the most important processes in a drinking-water treatment plant, and it is applied to destabilize impurities in water for the subsequent flocculation stage. Several techniques are currently used in the water industry to determine the best dosage of the coagulant, such as the jar-test method, zeta potential measurements, artificial intelligence methods, comprising neural networks, fuzzy and expert systems, and the combination of the above-mentioned techniques to help operators and engineers in the water treatment process. Current paper presents an artificial neural network approach to evaluate optimum coagulant dosage for various scenarios in raw water quality, using parameters such as raw water color, raw water turbidity, clarified and filtered water turbidity and a calculated Dose Rate to provide the best performance in the filtration process. Another feature in current approach is the use of a backpropagation neural network method to estimate the best coagulant dosage simultaneously at two points of the water treatment plant. Simulation results were compared to the current dosage rate and showed that the proposed system may reduce costs of raw material in water treatment plant.