Design and Implementation of Smart Home Control System Based on Fpga

This paper aims to discuss the design and implementation of automatic control system for chemical production line based on PLC. With the rapid development of chemical industry and the intensification of market competition, it has become an important demand for chemical enterprises to improve production efficiency, ensure product quality and realize automation and intelligence of production process. Firstly, this paper analyzes the characteristics and requirements of chemical production line, as well as the requirements and objectives of automatic control system. Then, the overall architecture design, hardware design, software design, system implementation and testing process of the automatic control system of chemical production line based on PLC are described in detail. The feasibility and effectiveness of the system are verified by the analysis of practical application cases. The research results show that the automatic control system of chemical production line based on PLC can significantly improve production efficiency, reduce production costs, ensure product quality and enhance the market competitiveness of chemical enterprises. The research in this paper provides new ideas and methods for the design and implementation of automatic control system in chemical industry.

Design and Implementation of Intelligent Home Control System Based on Deep Learning in the Internet of Things Environment

This paper describes the design and implementation of a control system that integrates visual and haptic information to give assistive force feedback through a haptic controller (Omni Phantom) to the user. A sensor-based assistive function and velocity scaling program provides force feedback that helps the user complete trajectory following exercises for rehabilitation purposes. This system also incorporates a PUMA robot for teleoperation, which implements a camera and a laser range finder, controlled in real time by a PC, were implemented into the system to help the user to define the intended path to the selected target. The real-time force feedback from the remote robot to the haptic controller is made possible by using effective multithreading programming strategies in the control system design and by novel sensor integration. The sensor-based assistant function concept applied to teleoperation as well as shared control enhances the motion range and manipulation capabilities of the users executing rehabilitation exercises such as trajectory following along a sensor-based defined path. The system is modularly designed to allow for integration of different master devices and sensors. Furthermore, because this real-time system is versatile the haptic component can be used separately from the telerobotic component; in other words, one can use the haptic device for rehabilitation purposes for cases in which assistance is needed to perform tasks (e.g., stroke rehab) and also for teleoperation with force feedback and sensor assistance in either supervisory or automatic modes.

At the University of Nevada, Reno, we strongly believe that effective control system education must include experimental exercises that complement the theory presented in lectures. Preferably, the exercises should include the design and implementation of a control system. Limited resources and a cap on the number of credit hours required for the undergraduate degree make it impossible to offer a laboratory course with every control class in most electrical engineering curricula. We have solved this problem by including a laboratory project in each of our two senior electives. Each project is a comprehensive modeling, analysis, design and implementation of a physical control system. The students are divided into groups and each group must independently complete the design project and submit a formal report summarizing their results and experiences. Each student must submit an individual commentary on the exercise and the experimental results obtained. Student feedback indicates an increased appreciation of the lecture material and an awareness of the limitations of the theory and simulation that was lacking prior to the introduction of laboratory exercises.

In this paper, based on the new development of smart home - the Internet of things smart home control system a corresponding, this paper from the Internet of things smart home control system design and implementation of several angles in this, in-depth analysis of the operation principle of home control system.

This paper introduces a new approach to building an intelligent smart home. The main goal is to leverage a modern, flexible, smart home by employing concepts and technologies of IoT, ambient intelligence, user profiling, and multimedia. The model combines these elements to develop not only an effective platform but also a rich, personalized and unique experience for the smart home users. By using ambient intelligence to gather and analyze the environmental data and combine them with user profiles, the system finds the right multimedia content adapted to the user’s needs, based on their habits, time of the day and the weather. Besides, the system adapts the user’s environment, as to make them feel as comfortable as possible, by adjusting the amount of light, movement of the curtains and setting the room temperature. The evaluation has shown the presented model possesses great potential for gaining new knowledge in the area of smart environment and IoT, enhancing everyday life, as well as innovations in various contexts.

An intelligent home system controlled via GSM, GPRS and the Internet was developed to investigate the control system of intelligent home. The home environment including concentration of carbon dioxide, UV intensity, light intensity, smoke concentration, temperature and humidity were real-time transmitted to the host computer monitoring platform. The intelligent home system supports four different control methods with the remote control functions of household appliances, security locks of doors, lighting system and smart curtains realized through a variety of network.

In this paper, Linux-RTAI and Matlab/RTW is used to develop real-time control system for fast real-time simulation and implementation of the control algorithm. The hardware of the controller is based on PC/104 cards under Linux-RTAI operating system. The main characteristic of Matlab/RTW is that it can automatically generate the real-time simulation code for many target processors. The combination of Linux-RTAI as a controller platform and Matlab/RTW as control algorithm development environment brings the two main advantages: hard real-time capability and reduced time for control development. Moreover, online signal monitor and parameter modification is realized on the whole structure system. At last, the minimum execution time of real-time control task is determined and the application of real-time control system into flight vehicle is achieved in the work.

With the worsening of the global environment and the strengthening of people's awareness of environmental protection, the air pollution caused by the exhaust emissions of marine diesel engines has attracted extensive attention from the international community. Because the exhaust post-treatment technology does not need to be reformed for diesel engine, and the quality requirement of fuel is relatively low, domestic and foreign research and development institutions all attach great importance to the research of exhaust post-treatment technology. By analyzing the mechanism and main chemical reaction of SCR reaction, the overall design scheme of marine diesel engine exhaust intelligent emission reduction control system was completed in order to reduce the nitrogen oxides and solid particles in the exhaust of marine diesel engine. According to TierIII emission regulation and marine diesel engine exhaust, the hardware structure design and model selection of marine diesel engine exhaust intelligent emission control system are completed. In order to ensure that the emission of the control system can meet the requirements of nitrogen oxide conversion rate and ammonia gas escape quantity at the same time, the corresponding model prediction algorithm is designed in this paper. Through the analysis of experimental results, it is proved that the control system established in this paper can well meet the emission requirements of TierIII regulations. The research content of this paper can be applied in the field of shipping to meet the requirements of TierIII regulations and prepare for more stringent emission regulations.

In this paper we introduce the design and implementation of an automatic access control system using PCA-based face recognition technique (ACFR). The system uses real time monitoring pictures to recognize face by principal component analysis (PCA), and makes access control according to the result of face recognition. PCA extracts the main feature information of face, which gets the greatest dimension reduction with the least information lost, and makes the system faster and more accurate. In addition, in order to reduce the influence of the shooting angle and light, ACFR has adopted multi-source camera and shadowless lamp method. In terms of the system's effect, ACFR has great potential applications.

This paper presents the design, generation and implementation of low cost control system for a manufacturing cell. The modeling and control of manufacturing systems using supervisory control theory (SCT) is discussed. Using the technique of SCT, controllers can be built according to operational specifications. A structure control implemented in low-cost physical platforms is presented. According to the level of control, micro-controllers or small-size PLC are used. A communication interface is proposed to establish rules of sending and receiving of events among different hardware. In order to demonstrate the usefulness of this approach, an educational testbed is used to simulate an automated manufacturing system.

This paper describes the design and implementation of an OMAP3530-based networked control system which has real-time image processing capability. It integrates an ARM core and a DSP core in the controller. The ARM core with Linux operating system is responsible for applying functional services and the DSP core is responsible for executing image processing algorithms. The due-core structure makes the novel controller available for advanced control and image processing so that the designed control system expands the application of the existed networked controllers to machine vision. Finally, a reliable application for vision-based mobile robot localization demonstrates the effectiveness of the designed system.

A complete intelligent voice-controlled home system should include voice capture, voice recognition, authentication, voice result processing, and other processes. Based on the intelligent voice interaction model of Raspberry Pi 3b+ and Alibaba Cloud platform, this paper realized a high recognition accurate, stable, and efficient intelligent voice-controlled home system. We used the Raspberry Pi to control the hardware interface, collected voice data through an external microphone, and performed command control with external sensors and controllable devices in the hardware part; The software was based on Alibaba Cloud intelligent voice interaction platform to realize voice data recognition. The system constructed can achieve the expected function after repeatedly testing the controlled device. The test results show that the recognition accuracy and recognition efficiency of the system's voice control instructions are both high in a relatively quiet environment.

This study designs a smart home control system, aiming to resloving family fires and the problem of children falling over windows. The system includes a data monitoring module, a single-chip control module, a display module, an executive module and an alarm module. The data monitoring module collects the temperature, smoke and pressure inside the home, and the single-chip microcomputer module processes the data collected by the data monitoring module and displays it on the display module in real time. When the temperature value exceeds the set threshold, the alarm module alarms; when the smoke concentration exceeds the lower limit of the set value, the executive module starts; when the smoke concentration exceeds the upper limit of the set value, the exhaust module starts, and the alarm module alarms and reminds that the smoke concentration is too high and need to prevent fire; When the monitored pressure at the window exceeds the set threshold, the drive module starts to close the window, in order to prevent children from falling. The design is simple in structure and low in cost, and can effectively prevent the occurrence of fire and children falling from windows.

With the development of science and technology, people's demands for life are getting higher and higher, smart home has become the new theme of the times. Smart home more and more people to become a necessary way to pursue a comfortable life. When the smart home gateway to the family in a variety of home appliances through the home bus technology together, it constitutes a powerful, highly intelligent modern smart home system. This paper mainly introduces the wisdom of home, and its related concepts and core technology, as well as from domestic and foreign market situation and the application of electronic technology in intelligent home.