"Smart city" is a new model of modern urban development. The construction of smart city is becoming one of the key elements of global urban competition and the "business card" of a modern city. Its construction is a complex system engineering, covering government affairs, community, communication , public services, resources, energy utilization, etc. However, the construction of smart cities is not an overnight thing, nor is it a business that can be achieved overnight, the prerequisite for its formation is full digitization. With the development of Internet of Things technology, we can already perceive some indicators of the city, or to collect data in some aspects such as government affairs and public services. Next, we need to further integrate the data. Although the digitalization has not reached 100%, it is enough to carry out the "city brain". construction.
1. The information island is serious, and the digitization of various functions of the city cannot play a collaborative effect; 2. There is a lack of standard data specifications, and there is a problem of "different texts for books and different tracks for vehicles" in data interconnection; 3. The output of data capabilities is not smooth, The technical threshold for data access is high.
Core advantages description
DataFocus is deployed on the application side of smart cities as a platform for rapid data visualization development, the creation of urban data middle-end platforms and intelligent applications. By integrating existing urban information resources and data, it creates a convenient public data service pipeline
DataFocus builds an urban data lake by extracting the standard databases of various business systems. And standardize the data, create data specifications, and lay the foundation for subsequent data applications.
Integrating standardized data greatly improves usability. Relying on the innovative database search engine technology of DataFocus, the availability of city data as a public resource is greatly improved. Users can request data from the system through a natural language-like search-and-answer method, and can instantly complete ad-hoc analysis on the platform, generate data analysis reports, and make real-time large-screen visualizations.
Cities will ultimately benefit from standardized data public services. DataFocus can provide a standard data interface, relying on the accumulation of urban big data, users can obtain high-precision analysis and prediction models by training algorithms for specific business scenarios, and easily deploy them into applications through DataFocus, gradually Build the digital brain of the city.
The construction of a smart city requires the integration of various business systems and the unification of various data; the construction of a smart city also has phases and a long-term nature. Therefore, there does not exist a one-click deployment solution. The priority of the whole solution is scalability.
DataFocus starts with the data integration part, which can be deployed independently or in conjunction with other systems. Its own data warehouse module can be used to integrate databases scattered in various business systems, and can also obtain data from other data warehouses.
Data analysis and visualization are applications that can quickly display urban big data results. The BI Server module of DataFocus will allow users to easily use this function to create various data visualization results. Further, with the help of the algorithm automation module included with DataFocus, algorithm models can be quickly built and deployed for specific scenarios. From data visualization to building a digital brain, the whole process is seamless.
DataFocus' unique patented technology based on natural language parsing will make data acquisition extremely simple for users, and ordinary citizens can use it without any technical barriers (no need to write code), thus greatly reducing the cost of use and vigorously promoting public data service capabilities.
Make data analysis easier!
It has developed rapidly in recent years. After years of informatization construction, its agencies have either gradually started or completed informatization construction to a certain extent, accumulating massive amounts of data, of which nearly a hundred gigabytes of data are of high value.
On this basis, on the one hand, the rapid visualization technology of the BI Server module is applied to create a number of large visualization screens such as digital urban management, smart medical care, and smart education, and its easy-to-use search-based analysis capabilities are opened to multiple departments, effectively improving the data utilization rate, and gradually making urban management decisions based on reliable data; on this basis, individual departments began to try to train algorithm models in specific scenarios to improve the efficiency of the medical system and urban management. Accuracy and other aspects are gradually empowered by data.