Modeling IoT Smart Home Network

The purpose of the article is to present the process of modeling the IoT smart home (SH) network, which combines both user needs and efficiency requirements. The use of Alibaba cloud platform, which reduces complexity and development time, reduces costs, was justified in the project of building the IoT SH network. The structure of this platform is given, its main components are considered and an algorithm for its configuration is given. MQTT is used as an access protocol in the IoT SH network to achieve fast and reliable data transmission. Open source code, reliability, simplicity and other characteristics justify the choice of this data transfer protocol. Modeling of the network IoT SH is based on the knowledge gained in the process of practical implementation. First, the online problems of the system are tested, after the system is able to work after modification and debugging of programs, a street lamp is used as an example to create an instance of an IoT SH network on a cloud platform. The process of creating an example of an IoT SH network is described in detail in steps, in which data from a street lamp is transmitted to a cloud platform, processed there, and then displayed on a mobile device. A mobile phone was used to implement two-way interaction, simulate the sensor of the IoT SH network and display the results. The algorithms for configuring the platform, modeling the sensor and creating an object model of the device of the IoT SH network are given. For some modern control systems, this system is compatible and suitable for a larger number of cases, which contributes to the development of intelligent control in the IoT network.The purpose of the article is to present the process of modeling the IoT smart home (SH) network, which combines both user needs and efficiency requirements. The use of Alibaba cloud platform, which reduces complexity and development time, reduces costs, was justified in the project of building the IoT SH network. The structure of this platform is given, its main components are considered and an algorithm for its configuration is given. MQTT is used as an access protocol in the IoT SH network to achieve fast and reliable data transmission. Open source code, reliability, simplicity and other characteristics justify the choice of this data transfer protocol. Modeling of the network IoT SH is based on the knowledge gained in the process of practical implementation. First, the online problems of the system are tested, after the system is able to work after modification and debugging of programs, a street lamp is used as an example to create an instance of an IoT SH network on a cloud platform. The process of creating an example of an IoT SH network is described in detail in steps, in which data from a street lamp is transmitted to a cloud platform, processed there, and then displayed on a mobile device. A mobile phone was used to implement two-way interaction, simulate the sensor of the IoT SH network and display the results. The algorithms for configuring the platform, modeling the sensor and creating an object model of the device of the IoT SH network are given. For some modern control systems, this system is compatible and suitable for a larger number of cases, which contributes to the development of intelligent control in the IoT network

Моделирование сети IoT «Умный дом» с принятием решений на основе платформы MajorDoMo

The purpose of the article is to model a smart home with decision-making and the use of the MajorDoMo IoT platform instead of a cloud platform. The main features of the article are: modeling of the IoT network for controlling the control unit on the MajorDoMo platform, the use of the MajorDoMo IoT platform in the Windows system for making decisions when controlling household appliances (fan or air conditioner) based on the tempe rature and humidity values received from a smartphone modeling sensors, transmitting the results of controlled data to the user's home page. The structure of the MajorDoMo platform is given, its functions are described, and commands for decision support are considered. The use of product rules is proposed as a decision-making model. An example of such a description for data regulation by the household appliances is given. The user can log into the IoT network and view changes in temperature and humidity in real time, as well as check the regulation of the equipment. The possibilities of the PHP language for the implementation of the control process are presented, in which the household device begins to adjust the parameters when the environmental monitoring system detects that the corresponding data exceeds the set threshold

Modeling IoT Smart Home Network

The purpose of the article is to present the process of modeling the IoT smart home (SH) network, which combines both user needs and efficiency requirements. The use of Alibaba cloud platform, which reduces complexity and development time, reduces costs, was justified in the project of building the IoT SH network. The structure of this platform is given, its main components are considered and an algorithm for its configuration is given. MQTT is used as an access protocol in the IoT SH network to achieve fast and reliable data transmission. Open source code, reliability, simplicity and other characteristics justify the choice of this data transfer protocol. Modeling of the network IoT SH is based on the knowledge gained in the process of practical implementation. First, the online problems of the system are tested, after the system is able to work after modification and debugging of programs, a street lamp is used as an example to create an instance of an IoT SH network on a cloud platform. The process of creating an example of an IoT SH network is described in detail in steps, in which data from a street lamp is transmitted to a cloud platform, processed there, and then displayed on a mobile device. A mobile phone was used to implement two-way interaction, simulate the sensor of the IoT SH network and display the results. The algorithms for configuring the platform, modeling the sensor and creating an object model of the device of the IoT SH network are given. For some modern control systems, this system is compatible and suitable for a larger number of cases, which contributes to the development of intelligent control in the IoT network

Учебная сеть интернета вещей для ИТ-диагностики

This report presents a comprehensive solution for IoT data collection, storage, analysis, and visualization using EMQX MQTT message middleware, ClickHouse OLAP database, and Grafana data visualization. The proposed stack enables seamless integration and efficient processing of large-scale IoT data, facilitating real-time monitoring and valuable insights

Design of school bell automatic control system based on single-chip microcomputer

This article introduces the basic components of the school's automatic control system, and makes a detailed introduction and comparison of the functions, application scenarios, and advantages of each part. The hardware design of the automatic control system is based on the STC89C52 single-chip control circuit as the core, supplemented by sensor circuits, clock circuits, bell circuits and human-computer interaction circuits to complete various functions. The human-computer interaction circuits include keyboard input circuits and liquid crystal display circuits. The software design of this system mainly includes sensor detection, button setting, and bell output part. The sensor detection part is composed of a temperature detection subprogram, the key setting part is composed of an independent key subprogram and a liquid crystal display subprogram, and the bell output part is composed of a voice recording and playback subprogram. The program and clock subroutine constitute

Design of smart code lock

This design uses MCS-51 single-chip microcomputer and the corresponding interface chip to complete the design of a smart password lock. The matrix key input module is used as the input channel for passwords and related information, and the display screen LCD1602 is used to display the prompt words through a stepping motor. The rotation of the door lock can be opened and closed, and the buzzer and LED are used to realize the sound and light alarm when the password is wrong. In addition, the uniqueness of this design is that the proximity switch is used to detect whether the door is closed or not, which is more intelligent

Research on the influence of a high proportion of wind power connected to the receiving power grid on the system power angle stability

With the increasing proportion of wind power integration, the effect on the stability of the system power angle cannot be ignored. In this paper, based on the different power characteristics of direct-drive wind generators before a fault and after its clearance, the system model of the receiving-end grid with thermal units replaced by wind turbines is simplified. The influence of the increase in the replacement ratio of wind power in the receiving-end grid on the transfer impedance between the sending end and receiving end is analyzed. Based on the equal area rule, the influence of the replacement ratio k within the receiving-end grid, power grid operation mode, and wind power integration point on the system power angle stability is analyzed. It is concluded that the stability of the system’s power angle will first get better and then deteriorate with the increase in the replacement ratio of wind power, the system can bear a larger proportion of wind turbines under the low-load operation mode, and the system’s power angle of the replacement of wind power with equal capacity in the load center region is relatively better. The aforementioned conclusions are verified by simulation with real data from a bulk power system in China. Therefore, the method and conclusion can also be used to study the power angle stability of other large-scale power grids

Представление и обработка данных для диагностики неврологических заболеваний

Big data is triggering a revolution in scientific research mindset. The commonality of data, the overall characteristics of the network are hidden in the data network. In the era of big data, IT systems need to change from having data around the processor to processing power revolves around the data. The processing and presentation of data becomes one of the significant evaluation criteria to measure the effectiveness of the model in performing the task. This article focuses on the data processing process and presentation for diagnosing neurological diseases. Based on the experiments, the data is described, presented and processed

Технология распознавания нейрологических заболеваний с использованием нейронной сети закрытого рекуррентного блока и интернета вещей

In this paper, authors proposed a neurological disease recognition technique using gated recurrent unit neural network and supporting Internet of Things (IoT), which was checked by taking Alzheimer’s disease (AD) and Parkinson’s disease (PD) as examples. In this method first pre-emphasized and denoised the voice data, then segmented the voice signals with a sliding fixed window using the Hamming window function. Then we were extracted the eGeMAPSv02 voice features from the window signal, fed the features into the gated recurrent unit neural network model for its training, testing and achieve the disease diagnosis. The results of the study showed that despite the limited generalization ability of the gated recurrent unit model, it can still efficiently achieve voice recognition detection of a portion of neurological diseases. The model is implemented on the basis of the IoT platform for building a subsystem of IT diagnostics of patients as part of the smart city project. The code is stored in https://github.com/ HkThinker/Technology-of-neural-disease-recognition