Research and Application of Intelligent Street Lamp Platform Based on Ubiquitous Internet of Things

Zhou, Baozhu; Liu, Yuheng; Xie, Yu; Junpeng, Wang; Hao, Zeqi; Jian, Meng

doi:10.1088/1742-6596/1920/1/012068

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…The least square method requires that the optimal estimation of the model can be obtained only when the assumptions are strictly met, but there are often problems in the actual problem scenario [ 19 , 20 ]. For example, variables are seriously disturbed by anomalies, variables are missing, and variables come from different probability distributions.…”

Section: Overview Of Relevant Technologiesmentioning

confidence: 99%

Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health

Lou¹,

Yang

2022

Computational Intelligence and Neuroscience

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In order to improve the detection function of wearable intelligent devices in the Internet of things and facilitate people to control a variety of information such as heart rate, exercise state, blood oxygen saturation, and so on, the scientific detection of human physical health based on wearable devices based on Internet of things technology is proposed. Through the combination of software- and hardware-related functional modules, the real-time detection of human physical health information can be effectively realized. Firstly, the detection principle of optical capacitance product pulse wave signal and the waveform characteristics of pulse wave are introduced, and then the application scenarios and advantages of wearable devices are further introduced; then, the convolutional neural network for pulse wave signal denoising and the basic principle of self-encoder are introduced; finally, the regression prediction method and support vector machine method for pulse wave signal feature extraction are introduced in detail. The pulse wave based on optical capacitance product is removed to improve the waveform quality of pulse wave signal. Firstly, the system software development environment is briefly described. Then, the software design of watch terminal master device based on MSP432 and belt terminal slave device based on MSP430 are described in detail, and the detailed program implementation flow of each key technology in the system is given. In addition, the fall detection algorithm based on threshold discrimination is studied, and the program implementation of the algorithm is also described in detail. Finally, the system is tested. The results show that normal state mainly include normal walking, jogging, and fast sitting, and the accuracy rate is 97%, 95%, and 93%, respectively. For fall state, the experimenter needs to simulate various possible fall states, and the accuracy rate is 95%, 93%, and 95%, respectively, which verifies the detection accuracy of the algorithm. The system can automatically turn on the satellite positioning function when the user’s physical sign parameters are abnormal or the user’s current fall dangerous situation occurs, and send the current position information and alarm content information through the GSM module, so that the dangerous situation can be found and handled at the first time.

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Section: Overview Of Relevant Technologiesmentioning

confidence: 99%

Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health

Lou¹,

Yang

2022

Computational Intelligence and Neuroscience

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“…From a purely performance point of view, hash partitioning has high performance when the field repetition rate is low and the operation result set is small. For range partitioning and list partitioning, if the data is the same, the execution plan of the two is roughly the same, that is, there is no big difference in performance, but list partitioning can solve some specific data distribution problems, which is beneficial to the data according to certain way to manage [32]. The performance analysis of proposed scheme in terms of efficiency and F score is compared with existing state of art classifiers.…”

Section: Data Querymentioning

confidence: 99%

The application of Internet of things and Oracle database in the research of intelligent data management system

Liu¹,

Kumar

Tripathi

et al. 2022

IJCAI

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The most critical issue in manufacturing is known as resource allocation. This article demonstrates an intelligent data management consisting resource allocation mechanism. The aim of the proposed system is to provide timely and effective decision for the resource allocation. Aiming at the needs of general large-scale monitoring systems, this paper designs an intelligent data management system that can provide fast data query and relieve sudden data congestion through in-depth research on Oracle database and data division. To the data access request from the front desk, the system can respond quickly through the real-time data monitoring module and the online analysis software OLAP mode database, which has far-reaching significance for the development of the Internet of Things and related systems. The experimental results show that, compared with the traditional system, the same bitmap index only occupies about 1/30 of the original table, and the data size is reduced by more than 10 times. The proposed model is compared with other state of art classifiers for evaluating percentage efficiency and F score. The experimental data verifies the characteristics of the system in this paper to strengthen the background data receiving and processing capabilities, and alleviate the problems such as the reduction of the system running rate and even the system paralysis caused by the sudden mass data.Povzetek: Mehanizem dodeljevanja virov je implementiran s pomočjo inteligentnega sistema in baze Oracle.

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“…The data would be sent to the public digital platform. In recent years, smart street lights, based on communicate wirelessly [12] , that would be centralized into the smart system for unified management were designed. Based on the method proposed above, China has now begun to run the LED bidding work year by year, as shown in Figure 3.…”

Section: Related Workmentioning

confidence: 99%

A Segmented Management System of Smart Street Lights

Kun¹,

Wang²,

Cao³

et al. 2022

Preprint

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Research and Application of Intelligent Street Lamp Platform Based on Ubiquitous Internet of Things

Cited by 7 publications

References 2 publications

Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health

Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health

The application of Internet of things and Oracle database in the research of intelligent data management system

A Segmented Management System of Smart Street Lights

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