scholarly journals Museum Display Showcase Furniture System Research Based on Internet of Things Technology in Intelligent Environment

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jiaojiao Hu ◽  
Zhihui Wu ◽  
Lei Jin

The protection of cultural relics has always been an important issue in the field of museums and archaeology. With the development of Internet of Things technology, the security system of the museum is more intelligent and integrated. In order for the museum display system to keep up with the intelligent age, this article mainly studies the research and realization of the museum showcase system based on the Internet of Things technology in a smart environment. Before the start of the experiment, we developed the overall design of the system, including three functional modules: temperature module, illumination module, and monitoring module. The experiment is done mainly for system testing. The performance test of the sensor module needs to sample the temperature and humidity sensor to verify the accuracy of the temperature and humidity signal collected in the instrument circuit. The light information collection test uses the ADC sampling inside the CC2530 to obtain the required data and judges whether these temperature, humidity, and light intensity values exceed the preset values. The serial port needs to be initialized to carry out data communication and transmission normally. After the receiving end finishes receiving, the sending end will clear the data buffer to prepare for the next data transmission. The experimental data show that the error between the predicted value and measured value of the temperature system is about 3°C, which is within the allowable error range of the experiment. The results show that the system has perfect functions, is safe and reliable, meets the expected requirements, and has good practicability.

2014 ◽  
Vol 989-994 ◽  
pp. 5041-5044
Author(s):  
Hong Xia Zhang ◽  
Qiang Zhang

With the development of modern information and communication technology and network technology, modern enterprises choose to build virtual dynamic alliance to achieve business development goals. There are many uncertain relationships between the participating companies in the virtual dynamic alliance. These companies join together to accomplish a particular goal, but also has their own unique individual needs. Internet of Things is an important part of a new generation of information technology. Things technology is an extension and expansion of the network based on the Internet. Basis for building virtual dynamic alliance is the Internet. The enterprises participating in a virtual dynamic alliance communicate with each other relying on information communication technology. Internet of Things technology provides real-time performance evaluation data to the participating enterprises. This will ensure real-time performance data communication between the dynamic alliance enterprises relatively loose.


2014 ◽  
Vol 945-949 ◽  
pp. 2637-2640 ◽  
Author(s):  
Li Yan ◽  
Guo Wei Wang ◽  
Shui Fang Wu

The production of facilities vegetable affected significantly by environmental factors, therefore it require real-time monitoring information of light, air temperature and humidity, soil temperature and humidity, and timely early warning and controlling, to prevent irreparable damage. This study achieved real-time monitoring and timely warning of environmental factors, and optimal control of pumps and roller blinds in the Facility vegetable. We have adopted Internet of Things technology and WCF communication interface, the system through C # language and the SQL Server database to prepare. The application in Jilin Province Jinta Industrial (Group) Co.Ltd. has showed that the system is better, achieved the purpose of high yield income.


Author(s):  
ARNISA STEFANIE ◽  
FARRADINA CHORIA SUCI

ABSTRAKPLTS pada penelitian ini didesain dengan sistem Off-Grid dengan kapasitas 600 Wp yang terhubung dengan MPPT 50 A, DC 150V dan energi output disimpan pada baterai VRLA 100 Ah. Pemanfaatan teknologi Internet of Things dengan komunikasi data menggunakan jalur komunikasi serial dengan modul ESP 8266. Pengujian dilakukan dengan memasang PLTS dengan kemiringan 300 pada koordinat wilayah -06°33’25’’, 107°12’39’’. Analisis data dilakukan untuk membaca performa daya output dan membandingkan dengan data total photovoltaic power output (Wh) yang dirilis Global Solar Atlas. Sampel data diambil pada bulan September 2020, 06.00-18.00 WIB, yang menunjukkan bahwa rentang waktu kerja efektif PLTS adalah 07.00-08.00 WIB dengan daya output ±140 watt, dimana mendekati nilai total photovoltaic power output adalah 143 Wh.Kata kunci: PLTS, Off-Grid, Internet of Things, power output ABSTRACTThis Solar Power Plant is designed with an Off-Grid system with a capacity of 600 Wp connected to MPPT 50 A, DC 150V, and the output energy stored in a VRLA 100 Ah battery. Utilization of Internet of Things technology with data communication by serial communication line using the ESP 8266 module. Testing was carried out by installing Solar Power Plants with a slope of 300 at the coordinates of the area -06 ° 33'25 '', 107 ° 12'39 ''. Data analysis was carried out to read the output power performance and compare it with the Total photovoltaic power output (Wh) data released by Global Solar Atlas. Data samples were taken in September 2020 at 06.00-18.00 WIB, which shows the effective working time gap of PLTS at 07.00-08.00 WIB with an output power of ± 140 watts is close to the total photovoltaic power output value of 143 Wh.Keywords: Solar Power Plants, Off-Grid, Internet of Things, power output


Author(s):  
Yuli Wibowo ◽  
Febriansah Eka Prasetyadana ◽  
Bertung Suryadharma

Oyster mushroom commodity has been widely used as raw material for processed food products, monitoring of temperature and humidity intensively, the quality will be well maintained. Monitoring at Rumah Jamur Barokah full 24 hours, so it will be difficult if done manually. This is the reason why it is necessary to design monitoring tools in maintaining the ideal temperature and humidity with the concept of the Internet of Things. This research aims to design temperature and humidity monitoring tools (IoT), and how much the increase value of time efficiency and effectiveness after the tool is implemented. The blackbox testing method is performed for performance feasibility testing, by comparing thermo-hygrometers and sensors. The result of the tool performance test at the temperature parameter obtained an error value 0.33 0C and the DHT22 tolerance limit ± 0.5 0C. In the humidity parameter obtained an error of 1.8% RH and the DHT22 tolerance limit ± 2% RH, so the DHT22 sensor feasible to use. In the analysis of efficiency calculation obtained a result of 77.95% for improved time efficiency. In the analysis of the quality effectiveness value of oyster mushrooms is less than ideal, getting an increase in value by 143% to 163%. Keywords: blackbox testing, cultivation, internet of things (iot), monitoring, oyster mushroom


2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091706 ◽  
Author(s):  
Chunling Li ◽  
Ben Niu

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.


2021 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Tao Li ◽  
Gangfeng Wang ◽  
Yunxi Zhang

In recent years, an intelligent vibratory roller with adjustable mode has become the leading direction for the development of compaction equipment that can obtain the state of the pressed material during the compaction operation and then control the working parameters and the excitation mode of the whole machine according to the condition of the pressed material. The intelligent vibratory roller can better meet today’s requirements for compaction. This paper proposes a compaction operation monitoring system for an intelligent vibratory roller based on the Internet of Things. Firstly, a hardware system for real-time compaction operation monitoring was established, including the selection of a sensor module and signal conditioning module. Secondly, a method for real-time compaction monitoring data evaluation and analysis of compaction was proposed and a detailed analysis process of the compaction data was designed. Finally, the compaction operation monitoring prototype system based on the Internet of Things technology was designed and constructed.


Kilat ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 287-300
Author(s):  
Lukman Medriavin Silalahi ◽  
Agus Dendi Rochendi ◽  
Irfan Kampono ◽  
Muhamad Husni ◽  
Raden Sutiadi

Electronic training activities are still carried out conventionally, namely through a face-to-face system. The trainer has to check the trainees' measurement scores manually, this takes a long time. In addition, during the Covid-19 pandemic, human interaction is limited. Therefore it is necessary to make a tool that can help the training process. The proposed IoT-based electronic training tool uses nodeMCU, with a MySQL database system using IoT (Internet of Things) technology. Data communication media uses Wifi (IEEE 802.11n) with nodeMCU 8266 and INA219 sensors. The data is directly displayed through the internet browser media(PHP). From the results of our research, this tool can monitor the implementation of training for a distance of 8 meters and the sensor response time is less than 1 second. The sensor sensitivity level reaches 99.01% with a measurement accuracy of 0.01. With this tool, checking measurement results can be done quickly and can be done from anywhere.


2021 ◽  
Vol 233 ◽  
pp. 03062
Author(s):  
Yang Xinfa ◽  
Liu Qiong

A building slope deformation monitoring system based on the Internet of Things technology was studied in this paper. Through the powerful data acquisition, storage, calculation and analysis capabilities of new technologies such as sensors, cloud computing, big data communication and visualization, and a variety of monitoring data acquisition instruments, sensors, communication terminals, cloud platform and other software and hardware resources as the carrier, it can realize real-time online equipment, continuous data acquisition, real-time calculation, data analysis, emergency warning, and the whole process of deformation monitoring services. Our research solves the deficiency of traditional technical means and effectively improves the timeliness, reliability and information level of construction slope deformation monitoring.


2020 ◽  
Vol 3 (2) ◽  
pp. 624-635
Author(s):  
Nguyen Quang Huy ◽  
Vu Thi Thu Giang ◽  
Le Vu Quan ◽  
Ho Vo The Cuong

The current aims to apply the Internet of Things technology (IoT) in designing an automatic system for measuring and monitoring important parameters of aquaculture ponds such as temperature, pH, and dissolved oxygen (DO). The system includes the Arduino Nano main microcontroller (the device that transmits and pushes data to the Raspberry Pi 3 Web server), the DS18B20 temperature sensor module, the pH sensor module V1.1, and the DO Sensor SKU SEN0237. The system is capable of continuously measuring the above parameters of aquaculture ponds. The measurement results are stored and transmitted wirelessly to smart devices such as computers and mobile phones. Farmers can continuously monitor water quality parameters of aquaculture ponds (pH, DO, temperature) through these smart devices. In addition, a warning message will be sent to the farmer's phone when the DO index of the aquaculture pond falls below the prescribed level. The results of the test evaluation also show the high accuracy of the system when compared with the sample measuring device. All  relative errors are satisfied less than the limit value of 5%.


2020 ◽  
Vol 3 (2) ◽  
pp. 624-635
Author(s):  
Nguyen Quang Huy ◽  
Vu Thi Thu Giang ◽  
Le Vu Quan ◽  
Ho Vo The Cuong

The current aims to apply the Internet of Things technology (IoT) in designing an automatic system for measuring and monitoring important parameters of aquaculture ponds such as temperature, pH, and dissolved oxygen (DO). The system includes the Arduino Nano main microcontroller (the device that transmits and pushes data to the Raspberry Pi 3 Web server), the DS18B20 temperature sensor module, the pH sensor module V1.1, and the DO Sensor SKU SEN0237. The system is capable of continuously measuring the above parameters of aquaculture ponds. The measurement results are stored and transmitted wirelessly to smart devices such as computers and mobile phones. Farmers can continuously monitor water quality parameters of aquaculture ponds (pH, DO, temperature) through these smart devices. In addition, a warning message will be sent to the farmer's phone when the DO index of the aquaculture pond falls below the prescribed level. The results of the test evaluation also show the high accuracy of the system when compared with the sample measuring device. All  relative errors are satisfied less than the limit value of 5%.


Sign in / Sign up

Export Citation Format

Share Document