scholarly journals Research and Evaluation of Energy-Saving Reconstruction of Intelligent Community Heating System Based on the Internet of Things

2021 ◽  
Vol 39 (3) ◽  
pp. 701-710
Author(s):  
Xiaoye Sun ◽  
Fuming Chen ◽  
Zhian Pan ◽  
Ling Bai
Keyword(s):  
Internet Of Things ◽  
Energy Saving ◽  
Heating System ◽  
The Internet ◽  
Intelligent Community ◽  
The Internet Of Things

scholarly journals Intelligent spacing selection model under energy-saving constraints for the selection of communication nodes in the Internet of Things

2021 ◽  
Author(s):  
Jing-Shu Sun ◽  
Teng Zhu ◽  
Marcin Wozniak
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Energy Saving ◽  
Transition Amplitude ◽  
Selection Model ◽  
Link Quality ◽  
The Internet ◽  
The Internet Of Things ◽  
Spacing Selection ◽  
Selection Of

AbstractCurrent IoT communication node spacing selection process show may potential areas for improvements such as high delay ratio, high total energy consumption ratio, confusion of the optimal communication information band, intelligent spacing node design under the constraints of the energy-saving selection of IoT communication. Based on energy-saving constraints, the link status between nodes is evaluated through link stability and link quality. In order to prevent the generation of serious noisy nodes and frequency hopping data, the interference nodes under the intrusion of the Internet of Things are identified by determining transition amplitude of the noise nodes in the transmission data sequence. Finally, according to the calculation results of the optimal communication node selection, the design of the intelligent spacing selection model for the communication nodes of the Internet of Things is realized. The simulation results show that the established model not only reduces energy consumption of nodes, shortens the average transmission delay of nodes, but also improves anti-interference effect of node spacing selection.

scholarly journals Analysis and use of building heating and thermal energy management system

2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3289-3298
Author(s):  
Qian Zhang
Keyword(s):  
Internet Of Things ◽  
Energy Management ◽  
Thermal Energy ◽  
Management System ◽  
Heating System ◽  
Utilization Rate ◽  
The Internet ◽  
Energy Management System ◽  
Heat Utilization ◽  
The Internet Of Things

To explore the role and influence of thermal energy management system on building heating, by building a thermal energy management system based on the Internet of Things, the situation of heating system and building heating is analyzed, the heat utilization rate of building heating, the stability of heating temperature, the change of heating energy consumption are mainly studied, and the energy consumption of building and the comprehensive effect of thermal energy management system and residents? satisfaction are analyzed. The research results show that through the role of the Internet of Things thermal energy management system, the heat utilization rate of heating buildings has increased from about 65% to about 80%, about 15%. The fluctuation of heating water temperature is reduced from 12?C before the system is adopted to 4 ?C, which improves significantly. The coal consumption per hour of heating system is reduced from 63 kg/h to 50 kg/h, and the coal saving is about 15%. This not only saves resources but also reduces environmental pollution. The heat management system based on the Internet of Things has significantly improved the heating system and building heating. Through the application of thermal energy management system, not only the heat utilization rate is increased, but also the consumption of resources is reduced and the environment is protected. Meanwhile, it solves the problem of building heating and the maximization of efficiency in the operation of heating companies. The research on building heating and thermal energy management system has a positive effect on the follow-up research.

Research on the Solar Water Heating System Based on the Internet of Things

2013 ◽  
Vol 860-863 ◽  
pp. 176-179 ◽  
Author(s):  
Ping Jiang ◽  
Ming Jie Ge ◽  
Gen Rong Zhou ◽  
Hong Sheng Xiao
Keyword(s):  
Internet Of Things ◽  
Software Design ◽  
Heating System ◽  
The Internet ◽  
Water Heating ◽  
Solar Water Heating ◽  
Solar Water ◽  
Communication Module ◽  
Solar Water Heating System ◽  
The Internet Of Things

The solar water heating system based on the Internet of things (IOT) was designed, and the IOT communication module was studied. The topological structure of IOT system and the hardware and software design of communication module have been introduced. The GPRS and GSM coding analysis and the receiving and sending process of the communication module were introduced.

scholarly journals Digital Forensics of Internet of Things Smart Heating System Investigation

2020 ◽  
Vol 3 (1) ◽  
pp. 23-28
Author(s):  
Marius Preda ◽  
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Digital Forensics ◽  
Heating System ◽  
Empirical Method ◽  
The Internet ◽  
Security Incident ◽  
Military Applications ◽  
Scientific Validation ◽  
The Internet Of Things

The Internet of Things (IoT) integrates the Internet and electronic devices with applicability to a large spectrum of domains, from smart home automation, industrial processes, military applications, to health and environmental monitoring. Despite the clear advantages, from a forensically sound perspective, IoT can improve the accuracy and integrity of forensic investigations, but still requires extensive scientific validation in practice. In this paper, we review selected stateof-the-art challenges corresponding to digital forensics of IoT environments, and we present an empirical method on how to investigate a security incident reported for an IoT specific case - Smart Heating system.

A Kind of Heterogeneous Data Synchronous Design for the Internet of Things

2012 ◽  
Vol 476-478 ◽  
pp. 1392-1398
Author(s):  
Yu Lu ◽  
Jin Ying Wu ◽  
Hong Min Chen ◽  
Yong Pin Zheng ◽  
Yun Ping Wu
Keyword(s):  
Internet Of Things ◽  
Heating System ◽  
Heterogeneous Data ◽  
Data Synchronization ◽  
The Internet ◽  
Synchronization Mechanism ◽  
System Data ◽  
The Stability ◽  
Solar Water Heating System ◽  
The Internet Of Things

The way of heterogeneous data synchronization based on WEB service mode used in the Internet of things is analyzed, the problem of synchronization mechanism of heterogeneous data based on internet web port is solved. Combined with the characteristics of SOA architecture, this paper proposes synchronization model WLDSS (Web-level Data Synchronization System) of distributed heterogeneous data, and gives the design principles and the key strategies of the model. Through the application of distributed solar water heating system of control system data synchronization, it verifies the stability of the WLDSS model.

scholarly journals Research on Energy-Saving Optimization of Rural Houses in Specific Regions Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yong Yang ◽  
Xiancheng Liu ◽  
Congxiang Tian
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Energy Saving ◽  
Temperature Control ◽  
Temperature Control System ◽  
The Internet ◽  
Maximum Relative Error ◽  
Cold Winter ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the expansion of social energy use, the optimization of residential energy conservation has become urgent and important. The research on rural housing in areas with hot summers and cold winters started late and is relatively backward in terms of housing energy saving, which greatly hinders the sustainable development of rural areas. The application of the Internet of Things technology helps to provide a stable technical guarantee for energy-saving optimization. Therefore, this paper takes the energy-saving optimization design of rural houses in hot summer and cold winter areas based on the Internet of Things technology as the research theme. This article first takes H rural area as the research object and analyzes the climatic conditions of the place, that is, the typical characteristics of hot summer and cold winter. Then, the intelligent temperature acquisition system is designed, and the working process and main hardware modules of the system are introduced. This text combines GPRS and Internet of Things technology, designs the temperature control system, and carries on the test to the system operation effect. The test results show that during the heating period in January, before and after the temperature control system controls the room temperature, the maximum relative error between the set temperature value and the actual temperature value is 0.49 and 0.27, respectively. It can be seen that the intelligent temperature energy-saving control system can collect the indoor temperature in real time and can well control the heating equipment.

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