The Intelligent Parking System Based on ZigBee Technology Research and Design

In this paper, we are introducing an intelligent valet parking management system that guides the cars to autonomously park within a parking lot. The IPLMS for Intelligent Parking Lot Management System, consists of two modules: 1) a model car with a set of micro-controllers and sensors which can scan the environment for suitable parking spot and avoid collision to obstacles, and a Parking Lot Management System (IPLMS) which screens the parking spaces within the parking lot and offers guidelines to the car. The model car has the capability to autonomously maneuver within the parking lot using a fuzzy logic algorithm, and execute parking in the spot determined by the IPLMS, using a parking algorithm. The car receives the instructions from the IPLMS through a wireless communication link. The IPLMS has the flexibility to be adopted by any parking management system, and can potentially save the clients time to look for a parking spot, and/or to stroll from an inaccessible parking space. Moreover, the IPLMS can decrease the financial burden from the parking lot management by offering an easy-to-install system for self-guided valet parking.

With the continuous acceleration of China’s modernization process, the number of private cars has increased sharply, and the traffic flow of various parking lots is increasing. The parking management of motor vehicles has become a problem of great concern to the society. In view of the shortage of parking spaces, the long time of manual fee collection, low efficiency and the inability to quickly find the reserved parking spaces in urban parking lots in China. At the same time, in large shopping malls, there is a common phenomenon that the parking range is single or the parking space is difficult to find, which makes the vehicles stay in the parking lot in a short time and cause congestion. For parking lot managers, it is difficult to timely regulate the parking lot through the existing traffic flow information of the parking lot, and it is impossible to determine the number of vacant parking spaces in the parking lot in real time. At the same time, The existing management system has problems such as low efficiency, poor scalability and less service content, which is difficult to solve in the face of emerging problems. Therefore, based on the above problems, this project designs an urban intelligent parking cloud platform based on wechat applet, which can distinguish users and administrators, select spare parking spaces, route navigation and time payment of parking fees for parking users, and the parking lot managers can understand the spare parking spaces and vehicle payment of the parking lot they manage, At the same time, it can detect the traffic flow through the traffic flow in a period of time and give early warning to prevent the accumulation of vehicles in the parking lot. Users and administrators can obtain more convenient and real-time information only through mobile phones, which solves the difficult problem of parking management in intelligent parking lot.

<p>Inefficient parking management systems in urban areas lead to limited parking capacity, congestion, and environmental contamination, resulting in time and fuel waste, increased carbon emissions, and economic inefficiency. Smart parking is a technological system that leverages the capabilities of the Internet of Things (IoT) to address urban congestion and parking management issues. It uses IoT sensors to collect real-time data on parking availability, which is then analyzed to optimize usage, improve traffic flow, and simplify the driver experience. Smart parking can be integrated into urban infrastructure, contributing to more efficient and environmentally-friendly urban mobility. Benefits include reduced time spent searching for parking, reduced traffic congestion, reduced greenhouse gas emissions, and new revenue opportunities for parking lot operators. Overall, IoT-enabled smart parking creates sustainable and user-friendly urban environments. This paper presents a multi-agent smart parking approach, providing a comprehensive architectural framework and workflow for various smart parking scenarios. The proposed methodology and structure encompass several aspects of intelligent parking management, incorporating the use of Internet of Things (IoT) technologies. It involves a multi-agent system for monitoring parking spaces, managing traffic, and providing user services. This system enhances efficiency and reduces the need for manual parking, thereby enhancing the overall efficiency of urban parking.</p>

With the continuous development of economy and the steady improvement of people’s living standards, a large number of cars enter families. In many cities, there are not only traffic congestion, but also a series of problems such as tight parking spaces and difficult parking. In large shopping malls, there is a common phenomenon that the parking range is single or the parking space is difficult to find, resulting in congestion caused by vehicles staying in the parking lot in a short time. At the same time, the existing management system has some problems, such as low efficiency, poor expansibility and few service contents, It is difficult to solve new problems. Aiming at the existing problems of difficult parking and difficult parking management, this project studies a set of intelligent parking management system based on embedded sensing technology and front terminal control technology, which provides a series of solutions to solve the above problems. Its technology and scheme mainly include the following points: Design the embedded sensors for testing, and the information of vehicles entering the parking lot shall be statistically summarized and communicated for display, so as to facilitate the management of managers and the collection of relevant fees in the later stage; Storage and replacement of information and analysis of information through neural network can guide various information acording to the needs of users; Control the whole through the front and rear clients, so that users can easily park and managers can facilitate management

In the current context of rapid development of digital economy, enterprise financial management is facing increasingly complex internal and external environments, and the traditional financial management model has been difficult to meet the needs of intelligence, refinement and efficiency. This paper analyzes the status quo and development trend of enterprise financial informatization construction, and clarifies the important role of informatization in improving the efficiency of financial management; from the three dimensions of data-driven decision-making support, financial process optimization based on artificial intelligence, and the deep integration of informatization and intelligence, it discusses the key elements of the optimization of the intelligent financial management system and the path of achieving it; finally, it evaluates the effect of optimized intelligent financial management system through a typical case, and verifies that it can meet the demand of intelligent financial management and improve its efficiency. Finally, the optimized intelligent financial management system is evaluated through typical cases to verify its significant role in improving management efficiency, reducing operating costs and enhancing decision-making science. The study shows that promoting the organic combination of informationization construction and intelligent management can not only improve the overall level of enterprise financial management, but also provide an important guarantee for enterprises to achieve sustainable development.

Optimal energy management of the smart parking lot under demand response program in the presence of the electrolyser and fuel cell as hydrogen storage system

Urban parks and green spaces are managed by local authorities, and 8 local authorities are utilizing the park and green space management system in Korea. However, in each local government, park and green space data, system components, main function, and tasks were established in different forms and their utilization was also very low. In this context, this study suggests a general-purpose model of the park and green space management system that can be used commonly by local governments for park and green space management. Based on the requirements that the GIS (geographic information system) should be used for continuous management in the “park and green space master plan guideline”, and the creation of an urban park inventory in the “act on urban parks, green areas, etc.”, we proposed a general-purpose model that builds GIS—based spatial information. We expect that local governments can reduce time and cost of introducing the park and green space management system, and the central government will be able to collect data and statistics on national park and green space, and establish data-based policies.

Abstract: Currently, the dual threats of global climate change and environmental pollution are becoming increasingly prominent, and people urgently need to explore effective energy management solutions to reduce carbon emissions and energy consumption. This paper proposed a design scheme of carbon footprint intelligent detection and management system based on Internet of Things (IoT) technology. This plan optimized energy utilization by intelligently monitoring and controlling the energy consumption of household appliances, thereby improving energy efficiency and reducing carbon emissions. The experimental results showed that after one year of use, the energy consumption of air conditioning equipment using IoT technology decreased by 35.7%, and carbon dioxide emissions decreased by 31.6%; the energy consumption of refrigerators using IoT technology decreased by 30.1%, and carbon dioxide emissions decreased by 29.2%; the energy consumption of washing machines using IoT technology was reduced by 41.2%, and carbon dioxide emissions was reduced by 31.1%. The design scheme of carbon footprint intelligent detection and management system using IoT technology is feasible. Through the comparison of experimental data, it was found that it can significantly optimize the energy utilization of household appliances, reduce unnecessary carbon emissions, and make an important contribution to environmental protection and sustainable development.

This paper presents a prototype Smart Parking System that uses image-processing techniques and camera feeds to detect vacant parking slots in real time. The system processes video frames to identify occupied and free spaces, then provides timely availability information to drivers and parking managers. The prototype aims to reduce search time, improve parking-space utilization, and ease congestion in urban and multi-level parking facilities. Experimental implementation demonstrates the system’s potential as a cost-effective, automated solution for smarter parking management. Keywords: Smart Parking System, Image Processing, Parking Space Detection, Real-Time Monitoring, Computer Vision, Urban Parking Management

Automation of the parking lot is required due to the labor cost burden and labor shortage. Because the developed parking lot management system (PLMS) is used in only billing the parked cars, the unmanned (PLMS) must be developed. In this paper, we proposed an autonomous mobile robot and control system for unmanned parking lot management. This robot monitors incidents as well as illegally parked vehicles while monitoring the parking lot information and the robot position is estimated by fusing the dead reckoning with inertial measurement unit. After application of the developed autonomous (PLMS) to the real parking lot, we confirmed the usefulness of the proposed PLMS.

In this paper, we propose an intelligent parking management system by using mobile edge computing (MEC). The proposed system contains vehicle detection, vehicle plate binding and information uploading three processes, which are performed by magnetic sensor edge and gateway edge. Hence, it is critical to design an efficient communication and computing allocation strategy to minimize the power consumption for the power limited device. In this work, we first map the parking management system to a mobile edge computing model and covert the offloading strategy to an optimization problem. By solving the optimization problem, the system efficiency is improved significantly. According to the results, the MEC-based optimized solution can most save 58.52% power dissipation, 99.20% transmission cost or 62.48% latency compared with the cloud computing based method.

Vehicle parking monitoring and management has become a big challenge for educational institutions with increasing enrollments, high percentage of vehicle ownership and decreasing parking supply which in result triggering blockage of vehicle, congestion, wastage of time and money. In university campuses particularly in Kingdom of Saudi Arabia, vehicle parking monitoring and management problem is getting worse and more frustrating due to the fact that majority of students, faculty and staff members own cars and drive through them to the university campuses. These common problems include finding out people (evidence) who are responsible for the damages (hitting, scraping, scratching and dents) to other cars and the blockage of car due to wrong car parking which takes much time to locate the owner of the car. Moreover, locating or forgetting their car park location another difficulty that is often faced by the students, faculty and staff members. The existing cameras located at the parking lots are only for video surveillance and cannot help in such situations as there is a lack of proper vehicle parking monitoring and management system. To cope with above mentioned problems and to ensure a better parking experience by accommodating increasing number of vehicles in a proper convenient manner, we propose a smart vehicle parking monitoring and management system called CampusSense. In CampusSense, Automatic Number Plate Recognition (ANPR) cameras and android based mobile application is developed to efficiently monitor, manage and protect the parking facilities at university campuses. Parking problems around the university campus faced by the students, faculty and staff members are analyzed by conducting a survey.

With the rapid growth of economy, the process of urbanization is picking up speed. The ensuing fast increase in the number of motor vehicles has aggravated the contradiction between the growing parking demand and the limited parking space in urban areas, which impedes the sustainable development of urban traffic. The traditional parking lot, featured by low efficiency and poor automation, fails to satisfy the soaring parking demand. To improve the traffic management across the city, it is necessary to develop an integrated management platform for urban parking lots. In view of the unique advantage of NarrowBand-Internet of Things (NB-IoT), this paper proposes an urban smart parking management platform based on the NB-IoT and wireless sensor network (WSN), aiming to unlock the full potential of urban parking resources. After briefly introducing the NB-IOT wireless communication and license plate recognition (LPR), the author explained the overall architecture and the image processing algorithm of the NB-IoT oriented urban smart parking plan. Then, the proposed plan was contrasted with traditional wireless communication technology. The results prove that the proposed plan outperformed its traditional counterpart. This research will give a great impetus to the development of the IoT although NB-IoT is still in its nascence

Along with the historical process of the industrial revolution, the automobile has undoubtedly made life more convenient. But at the same time, various problems also come along: Traffic jams are becoming more and more serious, and problems such as parking are becoming urgent problems. This design uses STC89C52 microcontroller, through the infrared sensor module to detect the information of the garage, then the nRF24L01 wireless module is used to carry out the wireless transmission of master and slave information. Finally, the LCD1602 LCD screen is used to establish the human-computer interaction page, and an intelligent parking space management system is designed. The owners can easily check the parking lot to understand the flow of the parking lot through the system, and judge whether to enter the parking lot, saving time. At the same time, it is easier to integrate with other intelligent systems, which provides a foundation for more advanced management and is the premise for making the parking lot a highly intelligent product in the future.

With the gradual maturity of geographical multimedia information system, applying geographical multimedia information system to urban intelligent traffic management information system and urban traffic sharing information platform can realize unified management and real-time update of traffic information. Through the urban traffic sharing information platform, it can increase the value of information. The multimedia information of the entire intelligent traffic management system can be stored, organized and processed by the shared multimedia information platform. It can more effectively ensure the correctness, comprehensibility and avoid redundancy of data relationships. Then it improves the utilization and transmission speed of multimedia information in the system. The urban traffic multimedia information management system has improved the use efficiency of urban road construction in China. And it also made the traffic multimedia information system more scientific and intelligent. It can also improve its management level and play an important role in urban traffic management. This paper first briefly analyzes the current traffic situation and the development of intelligent traffic multimedia information system in China. The basic concepts of GIS and urban intelligent transportation system based on GIS are introduced secondly. At last, the possibility about GIS as urban intelligent traffic management system sharing multimedia information platform is analyzed. The system framework and the basic function of GIS platform are put forward, and the application of GIS in urban traffic common information platform using the key technical support was discussed. It expounds the application of GIS in urban traffic common multimedia information platform.