Smart city is not a new word, it originated from the concept of "smart earth" proposed by IBM, and similar to the concept of digital city. The original definition of a smart city was narrow, simply using next-generation information technology in various industries.
Embracing technology and innovation: Smart cities are deeply rooted in technology. FamiliarInternet of Things (IoT), Artificial Intelligence (AI), Big Data Analytics, and Blockchainand other recent technological advancements, which are often used to optimize urban functions and drive urban development.
The smart city we are talking about today is to make full use of the next generation of information technology, combined with the construction of the system, and apply it inUrban planning, urban construction, social governance, industrial structureand strive to build a new smart city that is highly technologically efficient, green and environmentally friendly, healthy and harmonious.
Or we can abstract the city into the human body, which is made up of a variety of organs working in harmony
Macro perspectiveOur city is a very large system, we can't analyze it purely from a linear perspective, we need to enter from a multi-dimensional and full-perspective perspective;
Microscopic perspectiveWhat influences the performance of cities? That is, the city DNA, the society we face is a symbiotic environment, every part is indispensable, even if the environment is polluted, it has a reason for existence.
Focus on sustainability: One of the main goals of smart cities is to improve sustainability. Knowledge of sustainable urban development practices, renewable energy and green infrastructure. Understanding how to balance technological progress with environmental protection is key.
Develop skills in other disciplines: Smart city planning is inherently interdisciplinary. MasteryComputer science, data analytics, environmental science, public policy, and economics's skills go a long way. These skills will enable you to approach smart city projects from different angles and work effectively with professionals from different backgrounds.
Keep up with current events: The smart city sector is dynamic and constantly evolving. Keep up to date with the latest trends, studies and case studies in smart city development, search and attend conferences, webinars and Xi, read more journals, and participate in forums and discussions related to smart cities.
First, the bottleneck of sensor technology. How to roll out smaller, stronger, cheaper sensors. The development of smart cities is first and foremost to arrange a large number of various sensors, so that these sensors are closely combined with the items and become a part of the items, so the sensors should not only be miniaturized, but also the miniaturized nodes should not only have considerable processing power, but also need low energy consumption, but such small and high-performance sensors can only be used in cutting-edge fields at present, and cannot be applied on a large scale.
Second, the technical bottleneck of communication network. How to achieve both high capacity and high performance. Many applications in smart cities will be automated operations without human intervention, which is very different from human communication behavior. In terms of scale, it may have to face tens of millions, or even hundreds of millions of massive nodes, and the scale will far exceed the original communication scale.
Third, the bottleneck of platform processing technology. How to do a good job in the processing and management of massive perception information. With the deepening of smart city construction, it is necessary to comprehensively use cloud computing and other technologies to promote the continuous development of platform processing technology, and solve the storage, classification, processing and retrieval needs of massive data in order to break this limitation.
Fourth, security technology bottlenecks. How to deal with more complex IoT security issues. At this stage, the security of information has not attracted enough attention, in fact, security is one of the key issues to be solved in the development of smart cities, which will directly determine the development prospects of smart cities.
Yizhi micro digital twin visualization platform,It supports the integration and docking of the city's all-round building model, geographic information, and data from various channels, and uses big data, digital twin and other technologies to realize multi-dimensional functional scenarios such as urban operation situation monitoring, service efficiency management, emergency command, and construction planning results display.
With the WYSIWYG interaction mode, it provides a more refined operation and management platform for city managers, making it a service center, governance center and emergency center of the citySocial governance systemto provide more inclusive services for the majority of enterprises and people.
InSmart TransportationIn the field, multi-source data is collected and shared based on the Internet of Things, providing a foundation for city-level operation and management, effectively opening up the city's "eyes, ears and nose", forming a city-level parking "one network" pattern, and operating and managing the charging and payment, resource increment trend, equipment operation, key parking lots, transactions, collection, utilization, turnover, parking lots, parking spaces, etc.
Parking is an important part of the infrastructure of high-density urban areas, and it has a certain space dependence on population, roads, buildings, etc. In the context of the era of big data, by positioning the number of parking lots to render the map color and change results, it can intuitively reflect the data information such as the distribution of thermal points and regional agglomeration of parking lots.
The digital twin 3D visualization scene is used to map the comprehensive situation of spatio-temporal information, and the traditional static plane display is upgraded to a dynamic mirror space with real-time perception, dynamic **, and virtual-real interaction. Aggregate multi-source data in the space, combine with business analysis models, and associate operation scenarios with intelligent algorithms, promote operation value-added, and assist park parking services to achieve intelligent decision-making.
The system completes the model construction of the 6-layer space of the parking lot, and reproduces the location of the parking spaces in the parking lot, combined with the geomagnetic induction and other Internet of Things devices in the parking lot, which can well restore the parking status of vehicles inside the parking lot, and provide information support for the management of the parking lot.
Parking data is collected through front-end intelligent identification equipment such as high-level cameras and piles, and data interaction is carried out with the static traffic management platform to realize the digital, platform-based and visual management of on-road and off-road parking scenes.