The air purifier is of great significance for purifying air. In this paper, aiming at the use of air purifiers, the data preprocessing of ten representative air purifiers is first carried out. After the consistency te...
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ISBN:
(纸本)9798400711831
The air purifier is of great significance for purifying air. In this paper, aiming at the use of air purifiers, the data preprocessing of ten representative air purifiers is first carried out. After the consistency test of the selected eight indicators, the entropy weight method is used to weight them, and the TOPSIS method is used to process the data set. A comprehensive multi-index evaluation model for evaluating the advantages and disadvantages of air purifiers is established. Based on this model, the selected ten air purifiers are ranked in terms of comprehensive cost performance. Then, the air purifier model and the living room simulation model were established by using SolidWorks software. Based on the dispersion of fluid mechanics, control equations and equations, the control equation model of gas fluid is constructed. The CFD finite element simulation is used to establish a suitable three-dimensional model of the analysis scene. In this paper, the air purifier and the model and the living room simulation model are meshed and the calculation area is adjusted. The control equation model of the air fluid in the scene is solved by the pressure base solver. The equation and the established material balance model are imported into Fluent software for calculation. Finally, the cloud map of the influence of an air purifier placed at different positions in the room on the concentration of air pollutants at different heights in the room is obtained by fluent-post.
The sensitiveness of big data to the space and time brings many difficulties in the process of the big dataanalysis, modeling and predicting, especially in the factor agglomeration of labor, capital and technology. H...
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The rolling process has proven to have a significant effect on the mechanical properties of metallic alloys especially in their strength. In the present research work, process parameters are optimized with a view to m...
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ISBN:
(数字)9798331518523
ISBN:
(纸本)9798331518530
The rolling process has proven to have a significant effect on the mechanical properties of metallic alloys especially in their strength. In the present research work, process parameters are optimized with a view to maximize hardness and tensile strength of experimental alloy by employing a Multi-Objective Genetic Algorithm (NSGA-ii) along with linear regression. The experimental data used in this predictive modeling was from fabricated magnesium AZ31 alloy composite produced through stir casting. As-cast alloys were homogenized at 500°C for 12 hours, followed by quenching in ice water. The as-quenched material was then hot rolled at different rolling temperatures, number of rolling passes, and initial stock thickness to study the process. The rolled materials were subjected to hardness and tensile strength measurements as dependent variables. Instead of training an artificial neural network to specify the objective function for NSGA-ii, we created a mathematical model using regression analysis. This equation is used as the objective function for multi-objective optimization with NSGA-ii. The NSGA-ii predicted value for the maximum hardness of 107.41 VHN, is in close agreement with the obtained result of 106.6 VHN. Similarly, the maximum experimental tensile strength was 266.82 MPa whereas NSGA-ii said that it will be approximately 253 MPa for this value. Under these circumstances, the predictive accuracy of NSGA-ii was within 1-5% deviation from experimental results (i.e. good correspondence between the optimization strategy with experimental data).
A parallel-flow regenerative kiln is an efficient calcination process for the production of quicklime. It is a complex process where two connecting shafts work in tandem with alternating burning and regeneration cycle...
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ISBN:
(纸本)9781665414968
A parallel-flow regenerative kiln is an efficient calcination process for the production of quicklime. It is a complex process where two connecting shafts work in tandem with alternating burning and regeneration cycles that improve the calcination efficiency in contrast with single shaft and rotary technologies. For the control and optimization of this process, it is necessary to have accurate models of the kiln dynamics and different interacting components. This paper presents a methodology to select the appropriate signals to produce data-driven models of the kiln as a linear interacting system.
The power plant operation simulator is a system that can simulate a power plant for various operating conditions. Therefore, the fidelity to the power plant is an important factor. But in general, fidelity tends to de...
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ISBN:
(数字)9788993215380
ISBN:
(纸本)9798331517939
The power plant operation simulator is a system that can simulate a power plant for various operating conditions. Therefore, the fidelity to the power plant is an important factor. But in general, fidelity tends to decrease with longer operation period. One of the reasons is that it is difficult to reflect performance changes due to deterioration or aging of power plant facilities. In order to solve these issues, we describe the simulation system with a process model parameter tuning function based on power plant operation data. We analyze four types of optimization algorithms by applying parameter tuning, and confirmed the error rate of around 1% compared to the actual data through the method. The developed simulator is installed and has been operating in the power plant site. In addition, in connection with other simulator, more detailed and analytical simulation is possible as needed.
Energy data, especially power data, has the advantages of covering a wide range of industries, high value density, and good accuracy, relying on energy big data can widely describe all kinds of terminal production and...
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ISBN:
(数字)9798350366099
ISBN:
(纸本)9798350366105
Energy data, especially power data, has the advantages of covering a wide range of industries, high value density, and good accuracy, relying on energy big data can widely describe all kinds of terminal production and life activities. However, the privacy computing platforms of various vendors often adopt different technical architectures and algorithm protocols in the early implementation process, which makes the implementation of various platforms have great differences, resulting in the direct interconnection between heterogeneous privacy computing platforms of various organizations. Aiming at the interoperability needs and problems of energy big data privacy computing platforms with different technical architectures, this paper decouple the management plane and data plane of the privacy computing platform, and in accordance with the principle of business priority, proposes a new privacy computing interconnection model of “unified business collaboration component + flexible configuration algorithm engine” suitable for energy big data. Through the design of the east-west and North-South interface framework of the privacy computing platform and the security access principle of the algorithm engine, the whole processcontrol, cross-platform interconnection, and internal and external network penetration modeling and analysis of energy big data collaboration with the outside world are realized, which meets the key data security protection requirements of the State Grid such as distributed computing and storage of data inside and outside the platform. It is of great significance to promote energy big data to empower external institutions such as governments, banks and operators.
Digital twin virtual-real mapping technology is the key to realize seamless connection between the physical world and the digital world. This paper aims to propose a digital twin virtual-real mapping framework based o...
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ISBN:
(数字)9798331510138
ISBN:
(纸本)9798331510145
Digital twin virtual-real mapping technology is the key to realize seamless connection between the physical world and the digital world. This paper aims to propose a digital twin virtual-real mapping framework based on cloud architecture by in-depth analysis of the advantages of cloud platforms in scalability and high availability, and apply it to the entire manufacturing process of airborne product Power Supply control Unit (PSCU) to build an efficient and reliable digital twin system for PSCU manufacturing. First, a twin model construction method based on point cloud data is proposed to achieve accurate characterization of the full-element twin model of the PSCU manufacturing process, providing a model foundation for digital twin virtual-real mapping. Secondly, a real-time data governance method based on the Internet of Things database (IOTDB) is proposed to achieve efficient real-time acquisition, storage, analysis and fusion of multi-source heterogeneous data of large-scale twin models, providing real-time data for digital twin virtual-real mapping. Thirdly, a digital twin virtual-real mapping method based on the cloud platform is designed. Through real-time data driving, model mapping, behavior mapping and state mapping in the PSCU manufacturing process are realized. And based on virtualization technology, the flexible deployment and application of the digital twin system are realized, making the airborne product manufacturing process transparent and visible.
Computer auditing quality has been defined by results obtained in the process. Meanwhile, multiple studies have been done to enhance it therefore, it continues to be a topic interest and research so it is worth mentio...
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ISBN:
(纸本)9783031203152;9783031203169
Computer auditing quality has been defined by results obtained in the process. Meanwhile, multiple studies have been done to enhance it therefore, it continues to be a topic interest and research so it is worth mentioning that its quality relies on trained competent auditors and experts able to develop a process correctly, adapting to clients and to manage auditing inherent risks. According to results from the computer audit, low quality and security levels have been identified in terms of the human, technical and contextual factors, affecting audit quality. The objective of this investigation is to identify metrics and to determine their own corresponding factor applying an exploratory type of research. To achieve such aim, a targeted survey was designed and implemented at the Institute of Internal Auditors of Ecuador since they have the knowledge and expertise in the field. A factor analysis statistics technique was applied to data gathered to verify that it relates to the identified factors as dimensions are reduced, thus the most impacting metrics may assess the quality of computer audits. analysis results yielded a mean score for each one of the assessed metrics, concluding that the technical factor is the most significative since it relates roles and task performance during the auditing process as well as control procedures. Finally, most auditing quality-related issues are mainly the outcome of an inferior management auditing process, therefore it is crucial that collegiate groups and professionals in the field validate the auditing process.
This study presents a novel two-dimensional statistical pattern analysis (2D-SPA) method, specially designed to address the challenges inherent in monitoring and modelingprocesses within low-volume, high-quality food...
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ISBN:
(数字)9798350361674
ISBN:
(纸本)9798350361681
This study presents a novel two-dimensional statistical pattern analysis (2D-SPA) method, specially designed to address the challenges inherent in monitoring and modelingprocesses within low-volume, high-quality food manufacturing settings. By ingeniously integrating robust statistical techniques within a two-dimensional sliding window framework, this approach significantly expands the analytical dataset by operating across both batch and time dimensions, effectively overcoming the constraints posed by limited batch sizes. This innovative strategy not only augments the detection and diagnosis capabilities for subtle process deviations and emerging trends but also capitalizes on the dynamic statistical variances observed across batches and over time, thus offering a comprehensive view of the process variability. The application of 2D-SPA is meticulously validated through an industrial case study focused on lactic acid bacteria fermentation, where it demonstrates marked improvements in accuracy and sensitivity for process monitoring. The results underscore the method's potential to significantly enhance quality assurance measures in food batch production.
This article presents an approach for using Multivariate Time Series Classification (MTSC) to determine the basic production phases from the data of a numerical control (NC) of a manufacturing machine. The milling pro...
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ISBN:
(数字)9798331505974
ISBN:
(纸本)9798331505981
This article presents an approach for using Multivariate Time Series Classification (MTSC) to determine the basic production phases from the data of a numerical control (NC) of a manufacturing machine. The milling process in a series production of a contract manufacturer in Germany was selected as the use case. The MTSC techniques LSTM, 1D-CNN, and LSTM-FCN were selected for modeling the classification approach. All modeling phases are explained and finally, these techniques are compared with a standard neural network approach that performs classification time-independent. Overall, using 1D-CNN networks showed a clear superiority over the other models.
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