Multi-sensor information fusion based control for VAV systems using thermal comfort constraints

Zhu, Xu; Shi, Tao-Tao; Jin, Xinqiao; Du, Zhimin

doi:10.1007/s12273-020-0736-9

Cited by 17 publications

(6 citation statements)

References 39 publications

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“…The main cause of environmental pollution is that the atmosphere contains a large amount of harmful substances [3]. In order to better realize the ecological sustainable development of the country, it is necessary to use advanced monitoring tools and environmental monitoring technologies in the process of monitoring, preventing, and governing the environment [4]. Therefore, in view of the current environmental pollution problem, it is urgent to increase the monitoring of the environment and actively develop the monitoring technology of the environment [5].…”

Section: Introductionmentioning

confidence: 99%

The Application of Multisensor Information Fusion Technology in Environmental Restoration

Youhua

Guo

et al. 2022

Journal of Sensors

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Multisensor information fusion technology is an advanced processing method that is different from classical data processing technology. Capability and operational accuracy, in order to make an effective comprehensive evaluation of environmental quality, the environmental monitoring system built by NB-IoT technology and sensor technology is used to conduct multisensor data fusion research on the collected environmental factors such as temperature, humidity, formaldehyde, PM2.5, and TVOC. At the same time, the two-level parallel fusion method is adopted to evaluate the environmental quality. Before data fusion, median filtering is used to eliminate abnormal data. Then, the Kalman filter algorithm is used to fuse multiple sets of similar sensors to obtain the best value of it. Finally, the fuzzy comprehensive evaluation method is used to fuse the different types of sensors at the decision-making level, in which the weight value is determined by the entropy method and the membership function is Gaussian. The different environment scenarios are tested by using the above algorithms, and the simulation results show that multisensor data fusion can obtain more abundant and effective environmental information, overcome the simplicity and limitation of single-factor sensor for environmental quality assessment, and improve the reliability and accuracy of the overall environmental quality assessment.

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Section: Introductionmentioning

confidence: 99%

The Application of Multisensor Information Fusion Technology in Environmental Restoration

Youhua

Guo

et al. 2022

Journal of Sensors

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“…e objective is to simulate the architecture, the VAV containment, and the indoor heat conditions concurrently. Using the resulting coupled simulation platform, he further proposed a new approach for VAV control by fusing multiple sensor information [9]. Mosalanejad and Arefi describe a sophisticated flexible sensor used for a system of highly nonlinear continuously stirred tank reactors (CSTR).…”

Section: Related Workmentioning

confidence: 99%

Effectiveness of Interactive Reading Mode Based on Multisensor Information Fusion in English Teaching

Zhang

2022

Mobile Information Systems

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With the development of the data era, information is available in complex and diverse forms, and the information obtained by a single sensor is always incomplete and cannot grasp the global content. Multisensors, on the other hand, can obtain more dimensional information about the target and fuse the multidimensional information, thus changing the shortcomings of a single sensor. For students, reading is an essential means of communicating ideas and acquiring information, yet many teachers focus too much on decoding language and teaching literal meaning. In general, students only passively acquire knowledge, which does not effectively improve their analytical and reasoning skills. Under the guidance of an efficient reading mode, it is crucial to develop good reading habits and use correct reading strategies. To enhance the effectiveness of interaction between students and teachers, this paper proposes an interactive reading model based on multisensor information fusion to help students’ acquisition of background knowledge and language skills, including teacher-student interaction before reading, during reading, and after reading, which ensures the completeness and accuracy of the interactive information and helps decision-making judgments. In this paper, by introducing the theoretical knowledge of multisensor information fusion and interactive reading mode, and by evaluating the English teaching in two parallel classes with the traditional English teaching mode and using the interactive reading mode, we found that the students in the experimental class B believed that their English level in all aspects had improved significantly, and the number of students who performed the 30–60 minutes English reading time period had increased substantially compared with that before the experiment, which could improve the students’ reading level of interest in reading, so English teaching using the interactive reading model is effective.

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“…Based on the developed collaborative simulation platform, Zhu et al further proposed a novel control method by fusing the information of multiple sensors. Due to the information fusion of multisensors, the proposed control method has a better capability to guarantee indoor thermal comfort [2]. e method proposed by Wang et al also used obsolete data from various sensors to gain spatial connectivity and allow data integration.…”

Section: Introductionmentioning

confidence: 99%

Design and Research of Computer Network Education and Teaching System Based on Multisensor Information Fusion

2022

Mobile Information Systems

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With the rapid development of information technology, information network has become the fundamental guarantee of social progress. The network is the basic material foundation of the information society. It is ubiquitous, and human activities are highly dependent on it. Education is also inseparable from the Internet. Online learning is emerging as a new form of basic education. At the same time, it needs to be considered that the information received by the sensor is always incomplete, reflecting the information measured in a particular part of the object but not understanding the total content. Therefore, it is necessary to use multiple sensors to identify an object from multiple angles, obtain additional dimensional information about the object, and combine multidimensional information. This paper introduces the design and implementation of a teaching network system for computer network courses, starting from the overall concept of the system, the selection of development methods and the specific implementation plan of the system, and then introduces the specific content of each module in the teaching system in detail. The recognition success rates of five groups of experiments based on multisensor information fusion are 96.9%, 95.7%, 98.4%, 96.3%, and 98.7%, respectively.

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Multi-sensor information fusion based control for VAV systems using thermal comfort constraints

Cited by 17 publications

References 39 publications

The Application of Multisensor Information Fusion Technology in Environmental Restoration

The Application of Multisensor Information Fusion Technology in Environmental Restoration

Effectiveness of Interactive Reading Mode Based on Multisensor Information Fusion in English Teaching

Design and Research of Computer Network Education and Teaching System Based on Multisensor Information Fusion

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