Intelligent Lighting System of Urban Road Based on Internet of Things

2018 ◽  
pp. 150-156 ◽  
Author(s):  
Lulu HAO ◽  
Jing GAO

Aiming to solve the problems of energy waste, management confusion and poor flexibility in urban road lighting control system, an intelligent lighting system of urban road was designed based on the internet of things technology. The intelligent lighting system included hardware system composed of street lamp control terminal, main controller, software platform server, and software system composed of communication interface software, data processing software and operation management software. The lighting energy­saving control strategy and system characteristics were analyzed. The results show that the intelligent lighting system of urban road can realize the functions of remote street lamp switch, power regulation and timing operation, so as to meet the realistic demand of urban road intellectualized lighting control.

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.


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.


Author(s):  
T. Santosh Kumar ◽  
G. Joga Rao ◽  
J. Appala Ramana ◽  
M. Chaitanya Sai Ganesh. B ◽  
T. Vennela ◽  
...  

Objective of the project is to provide automatic control and fault detection on street lamps. The lighting system which targets the energy and automatic operation on economical affordable for the streets and immediate information response about the street lamp fault. Moreover, errors which occur due to manual operation can also eliminate. The street light switched ON/OFF through an Internet of Things (IOT). The street light system is checking the weather for street lamp ON/OFF condition. The weather is noted through an LDR sensor, If the weather is bright , the system will OFF. If the weather is dark, the light system will ON. After the light ON the light condition also check through LDR sensor for glow or not glow status. If light is not glowing, the sensor sends the value to street light system. The street light system will generate message and send SMS to ward member and ward serviceman mobile number.


2014 ◽  
Vol 488-489 ◽  
pp. 1471-1474
Author(s):  
Heng Hua Shi ◽  
Tao Chen ◽  
Guo Dong Wang ◽  
Yong Liu

The urban road flood protection capacity is related with a lot of elements such as human factors and natural environment as the lake. The lake can storage water temporarily and improves the urban road flood protection capacity. Based on Internet of Things technology, we establish an urban road drainage system sandbox with the near lake to simulate the relationship between the urban road flood protection capacity and the lake. The experiment simulates urban road drainage with the near lake in different rainfall level. Simulation results show that the near lake can obviously improve the urban road flood protection capacity in Heavy Rain and Rainstorm, and partly improve the urban road flood protection capacity heavy rainstorm and big heavy rainstorm. This can interchange for the urban road drainage system design to improve urban road flood protection capacity, promote the urban natural environment protection including the lake protection.


2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Xiaojing Lv ◽  
Minghai Li

With the in-depth application of the Internet of Things, many emerging technologies are changing the global industry landscape on an unprecedented scale. At the same time, they also provide an opportunity for the development of intelligent management to break through the bottleneck. The proposal and evolution of the concept of intelligent management makes the development of management technology more advanced. Therefore, the introduction of the Internet of Things technology into intelligent management has very important research significance and value. First, conduct research on the origin and current situation of the Internet of Things technology at home and abroad and understand the relevant theories and cutting-edge technologies of the Internet of Things technology. Second, take the enterprise as an example to study the process flow and existing problems in the logistics link in the factory, combine the management concept of the Internet of Things, and integrate IC card identification technology, RFID radio frequency identification technology, barriers and ground sensing technology, and OPC/PLC. Third, combined with PLC/OPC technology, the design and integration of the software system and hardware system are realized. The experimental results show that the system modules have been tested to provide company information management, employee multifactor predictive analysis, and efficient batch efficiency evaluation, which has a certain value for company data management and data analysis and mining, and improve company efficiency by more than 30%.


Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 202
Author(s):  
Gianluca Serale ◽  
Luca Gnoli ◽  
Emanuele Giraudo ◽  
Enrico Fabrizio

Artificial lighting systems are used in commercial greenhouses to ensure year-round yields. Current Light Emitting Diode (LED) technologies improved the system efficiency. Nevertheless, having artificial lighting systems extended for hectares with power densities over 50W/m2 causes energy and power demand of greenhouses to be really significant. The present paper introduces an innovative supervisory and predictive control strategy to optimize the energy performance of the artificial lights of greenhouses. The controller has been implemented in a multi-span plastic greenhouse located in North Italy. The proposed control strategy has been tested on a greenhouse of 1 hectare with a lighting system with a nominal power density of 50 Wm−2 requiring an overall power supply of 1 MW for a period of 80 days. The results have been compared with the data coming from another greenhouse of 1 hectare in the same conditions implementing a state-of-the-art strategy for artificial lighting control. Results outlines that potential 19.4% cost savings are achievable. Moreover, the algorithm can be used to transform the greenhouse in a viable source of energy flexibility for grid reliability.


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