scholarly journals Jet grinding as a control object

2021 ◽  
Vol 2 (133) ◽  
pp. 119-127
Author(s):  
Nataliya Pryadko ◽  
Andrey Bublikov ◽  
Katerina Ternova ◽  
Lev Muzyka
Keyword(s):  
Energy Consumption ◽  
Control Process ◽  
Control Object ◽  
Parameter Analysis ◽  
Automatic Process ◽  
Automatic Process Control ◽  
Fine Grinding ◽  
The Subject ◽  
Reduce Energy Consumption ◽  
And Control

The relevance of the subject of this work is determined by the need to reduce the energy consumption of fine grinding by controlling the process, which is proposed to implement based on the results of acoustic monitoring. The paper describes the operation of a jet mill in a closed cycle. It is known that fine grinding refers to energy-intensive production, but jet grinding is indispensable in obtaining thin and ultra-thin "pure" materials, i.e. materials without the introduction of any impurities. And with the creation of a new way to control the process, there is a real opportunity to reduce energy consumption by jet mills while maintaining optimal performance. Based on the process parameter analysis input and output disturbing and control process parameters are selected. In this way, jet grinding is presented as a control object. The problems of jet grinding and ways to solve them are shown. This became the basis for further construction of automatic process control based on the acoustic signals of the grinding zone.

scholarly journals Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 282 ◽  
Author(s):  
Adrian Korodi ◽  
Ruben Crisan ◽  
Andrei Nicolae ◽  
Ioan Silea
Keyword(s):  
Drinking Water ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Fog Computing ◽  
Industrial Internet Of Things ◽  
Non Invasive ◽  
Data Accumulation ◽  
Industrial Internet ◽  
Reduce Energy Consumption ◽  
And Control

The industry is generally preoccupied with the evolution towards Industry 4.0 principles and the associated advantages as cost reduction, respectively safety, availability, and productivity increase. So far, it is not completely clear how to reach these advantages and what their exact representation or impact is. It is necessary for industrial systems, even legacy ones, to assure interoperability in the context of chronologically dispersed and currently functional solutions, respectively; the Open Platform Communications Unified Architecture (OPC UA) protocol is an essential requirement. Then, following data accumulation, the resulting process-aware strategies have to present learning capabilities, pattern identification, and conclusions to increase efficiency or safety. Finally, model-based analysis and decision and control procedures applied in a non-invasive manner over functioning systems close the optimizing loop. Drinking water facilities, as generally the entire water sector, are confronted with several issues in their functioning, with a high variety of implemented technologies. The solution to these problems is expected to create a more extensive connection between the physical and the digital worlds. Following previous research focused on data accumulation and data dependency analysis, the current paper aims to provide the next step in obtaining a proactive historian application and proposes a non-invasive decision and control solution in the context of the Industrial Internet of Things, meant to reduce energy consumption in a water treatment and distribution process. The solution is conceived for the fog computing concept to be close to local automation, and it is automatically adaptable to changes in the process’s main characteristics caused by various factors. The developments were applied to a water facility model realized for this purpose and on a real system. The results prove the efficiency of the concept.

On the correlation of statistical and automatic process control

2003 ◽  
Vol 217 (1) ◽  
pp. 99-109 ◽  
Author(s):  
J Harris
Keyword(s):  
Process Control ◽  
Automatic Control ◽  
Fault Tree Analysis ◽  
Automatic Process ◽  
General Strategy ◽  
Statistical Control ◽  
Automatic Process Control ◽  
Intervention Protocol ◽  
And Control ◽  
Fault Information

A process control strategy is proposed based upon the twin themes of statistical and automatic process control. The main categories of product fault are identified and related to the capabilities of statistical and automatic control. Statistical control is supported by process fault information from a process-specific fault tree analysis, which provides the basis for a corrective intervention protocol. Application is discussed in terms of fuzzy automatic control, which offers a greater generality than conventional automatic control modelling. Prior publications that fuzzify statistical control zones are arguably incomplete in the application of logic propositions and also in the identification of process faults. The present work proposes a general strategy, which may be adapted to specific processes. Both control by variables and control by attributes may be included within this treatment.

scholarly journals Analysis of Satisfaction in the Use of Technological Simulation Tools in the Learning of the Automatic Process Control Course

2021 ◽  
Vol 11 (6) ◽  
pp. 132-140
Author(s):  
Omar Chamorro-Atalaya ◽  
Guillermo Morales-Romero ◽  
Adrián Quispe-Andía ◽  
Nicéforo Trinidad-Loli ◽  
César León-Velarde ◽  
...  
Keyword(s):  
Process Control ◽  
Measurement Instrument ◽  
Automatic Process ◽  
Academic Experience ◽  
Automatic Process Control ◽  
Satisfaction Scale ◽  
Simulation Tools ◽  
Degree Of Satisfaction ◽  
The Subject ◽  
Strongly Agree

The objective of this article is to describe the satisfaction of the students in the use of technological simulation tools in the learning of the automatic process control course, generated by distance education. The Academic Satisfaction Scale (ESA) was used as a measurement instrument. As the research was carried out, the re-sults revealed that of the indicators that present the highest degree of satisfaction, 56.8% of the student’s state that they strongly agree with what was learned through the use of technological simulation tools in the subject of the course of control of automatic processes and 54.5% indicate that the technological tools used in the contents of the subject excite them. Likewise, by means of the R squared, it can be indicated that the satisfaction of the students with the developed subject, in which technological simulation tools were used (I6), influences 0.637, that is, 63.7%, on the general satisfaction of academic experience in the virtual environment (I7); This is translated with the following equation: I7 = 0.309 + 0.637 * I6.

scholarly journals Functionality of Process Control in Moulded Goods Production

2019 ◽  
Vol 105 ◽  
pp. 01006 ◽  
Author(s):  
Olga Puhova ◽  
Vladimir Lebedev
Keyword(s):  
Process Control ◽  
Automatic Control ◽  
Water Content ◽  
Automatic Regulation ◽  
Automatic Process ◽  
Automatic Process Control ◽  
Custom Made ◽  
Mineral Components ◽  
And Control ◽  
Measurement And Control

The article presents the findings of the research in the field of automatic control of peat mass quality in hollow peat pot production. The strength of the finished product determines its integrity and crumblability which affect the loss during drying and transportation. Therefore, knowing the strength characteristics we can use them for quality control. Besides, not strength but heterogeneity in the distribution of pores, moisture, and density is responsible for crumbling. Automatic regulation of effective peat mass water content is one of the main stages determining the quality. At this stage automatic control of the flow, dispersion and water content of peat mass entering the pulper tank as well as measurement and control of the amount of additional elements introduced, such as mineral components, wood pulp, and water to form the required consistency, are provided for. The models of automatic process control are built and analyzed with the methods of differential equation theory, numerical integration, and stability theory. The model is implemented with the custom-made proprietary software. The model adequacy is determined empirically by comparing the data obtained on the model with the actual technological process.

Research and Simulation on the Energy-Saving Control Model of Large-Scale Intelligent Electromechanical Device

2014 ◽  
Vol 986-987 ◽  
pp. 1236-1239
Author(s):  
Yun Long Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Consumption Energy ◽  
Electromechanical Device ◽  
Reduce Energy Consumption ◽  
Energy Saving Control

In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.

scholarly journals IOT-Based smart street lighting enhances energy conservation

2020 ◽  
Vol 20 (1) ◽  
pp. 528
Author(s):  
Zakiah Mohd Yusoff ◽  
Zuraida Muhammad ◽  
Mohd Syafiq Izwan Mohd Razi ◽  
Noor Fadzilah Razali ◽  
Muhd Hussaini Che Hashim
Keyword(s):  
Energy Consumption ◽  
Intelligent System ◽  
Electric Energy ◽  
Input Voltage ◽  
Light System ◽  
Sensor Module ◽  
Generation Cost ◽  
Reduce Energy Consumption ◽  
Increasing Demand ◽  
And Control

<span>The electricity generation cost is escalating every year while the electric energy is indispensable and increasing in demand. The resources for energy generation is also depleting due to the increasing demand of power. Thus, a system that can reduce the energy wastage and the massive expenses is essential. Street light system is one of the systems that can reduce energy consumption. The massive energy consumption from the current street light system is not efficient enough to reduce the wasted energy. By implementing an IOT-based smart street light system, the power consumption of the street light will be optimized. This system will also provide the ability to monitor input voltage for Arduino MEGA 2560 microcontroller and control the street light through IOT. The concept of this smart system is to introduce an intelligent system which can decide to switch on or off the street light according to the movement detection by using an infrared sensor module. The data will be sent to Arduino Mega 2560, which is a microcontroller that will decide to turn on or off the street light. The Wi-Fi module ESP-01 is implemented to enable the microcontroller to connect to Blynk software for monitoring and controlling purpose. The result shows that the smart street light system is expected to reduce energy consumption up to 45.48% on weekdays and 32.22% on weekends from the present street light system which uses timer system. The IOT-based Smart Street Light system also shows the condition of the street light system based on the Blynk interfaces for maintenance purpose.</span>

scholarly journals Control objects with variable transport delay

2021 ◽  
pp. 122-130
Author(s):  
Rafail Leonov ◽  
Keyword(s):  
Automatic Control ◽  
Control Systems ◽  
Control Process ◽  
Control Object ◽  
Smith Predictor ◽  
Transport Delay ◽  
Quality Improvement Research ◽  
Automatic Control Systems ◽  
Stability And Control ◽  
And Control

Research aim is to analyze a class of automatic control systems at mining and concentrating facilities, where controlling action is the consumption of fuel or substance by a transporting body in order to develop recommendations on stability and control quality improvement. Research methodology consists in working out a model of automatic control system and studying the infl uence of varying transportation delay on the model, which arises in the process of stabilizing the output value of the system of automatic control. The RMS error of output value control was measured on the system’s model when measuring the delay of the main controlling action. Discussion was carried out by the example of the control process where the output value of the control object is regulated by the conveyor which feeds the ore. It has been shown that when changing the controlling action (ore consumption), time the delivery time also changes at the same time. These facilities refer to the facilities with the varying parameter – delay in control; they are poorly explored. It has been shown that control systems like that cannot adequately operate in the general case. One of the main methods of improving the quality of such control systems is to use the Smith predictor. However, in this case the system of automatic control will operate adequately under constant parameters of the control object, which is highly unlikely in the conditions of mining treatment. Delay in such systems is defi nitely associated with the speed of material feed. It has been proposed to automatically change regulator’s settings depending on the speed of the conveyor. Material can be fed using an assembly with constant speed, as an alternative, while the consumption may be carried out in accordance with the variation of the control object output value by a separate feeder

Gyroscopic Coupling in Space Vehicle Attitude Control Systems

1962 ◽  
Vol 84 (1) ◽  
pp. 41-53 ◽  
Author(s):  
Robert H. Cannon
Keyword(s):  
Energy Consumption ◽  
Response Time ◽  
Control Systems ◽  
Strong Coupling ◽  
Attitude Control ◽  
Space Vehicle ◽  
Conventional System ◽  
Reduce Energy Consumption ◽  
Gyroscopic Coupling ◽  
And Control

The problem of controlling the attitude of a space vehicle is unusual in several respects. While the required precision may be extreme—less than 0.1 second of arc in certain cases—the required response time may often be very slow, measured in minutes or hours. Vehicles weighing tons may have to be controlled by inch-ounces of torque, and control energy is at an extreme premium. The present paper discusses the effects, on performance, of inter-axis coupling due to internal spinning parts. A de-coupling computer to nullify gyroscopic torque is described, and its utility is evaluated. The computer is found to improve precision, but to reduce energy consumption only in certain cases. It is shown that by postulating such a computer the performance of a given system may be accurately evaluated on the basis of much simpler single-axis relations, even though strong coupling is present. Specifically: (1) It is shown that the best available performance is established by postulating de-coupling control; and (2) a method is given for determining the amount by which a conventional system will fail to achieve that performance.

Neural Network-Based Prediction and Control of Air Flow in a Data Center

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Flavio de Lorenzi ◽  
Christof Vömel
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Real Time ◽  
Data Center ◽  
Cooling System ◽  
Air Flow ◽  
Data Center Cooling ◽  
Prediction And Control ◽  
Reduce Energy Consumption ◽  
And Control

As modern data centers continue to grow in power, size, and numbers, there is an urgent need to reduce energy consumption by optimized cooling strategies. In this paper, we present a neural network-based prediction of air flow in a data center that is cooled through perforated floor tiles. With a significantly smaller execution time than computational fluid dynamics, it predicts in real-time server inlet temperatures and can detect whether prevalent air flow cools the servers sufficiently to guarantee safe operation. Combined with a cooling system model, we obtain a temperature and air flow control algorithm that is fast and accurate enough to find an optimal operating point of the data center cooling system in real-time. We also demonstrate the performance of our algorithm on a reference data center and show that energy consumption can be reduced by up to 30%.

scholarly journals THE THERMOELECTRIC VACUUM CROCK-POT AND THE AUTOMATED WORKPLACE FOR ITS RESEARCH AS A CONTROL OBJECT

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
S. Hudz ◽  
A. Mazur ◽  
D. Kovalchuk
Keyword(s):  
Block Diagram ◽  
Control Object ◽  
Operational Reliability ◽  
Treatment Processes ◽  
Equipment Construction ◽  
High Temperature Processing ◽  
Reduce Energy Consumption ◽  
And Control ◽  
Thermoelectric Converters

The technologies of thermal treatment in vacuum are widely used in various fields of production, in particular in the food industry, but their application at farms, hotels or a for domestic purposes is limited because of the big sizes, high cost of processing equipment and complexity of its management at realization of foodstuff processing. Products, made with use of vacuum technologies, keep much more useful substances because they aren't exposed to high-temperature processing and oxidation while preparation. Development and production of the small-sized equipment for realization of heat treatment processes of foodstuff in vacuum would create technical and economic conditions for implementation of temperature processing processes of foodstuff at farms, hotels and even at home that would promote creation of new food, development of new recipes and, in general, development of the new direction in cookery. So the article describes the problem of equipment construction for the process of thermal processing of food in vacuum such as cooking jam, concentration of juices and dairy products, distillation, drying, pickling, and the possibility of building inexpensive compact vacuum unit for the implementation of these processes (crock-pot) for use at hotels, farms and even for domestic purposes. The analysis of technological schemes for energy efficient evaporation process in vacuum crock-pot is provided. The developed technological scheme of vacuum crock-pot with thermoelectric converters and principle of its operation are considered. Microprocessor block diagram of a multichannel data acquisition system consisting workstation for investigation of thermoelectric vacuum crock-pot as a control object is presented and control algorithms helping to reduce energy consumption and to increase operational reliability in implementing processes and the quality of ready-made products are provided.

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