IOT VISUALIZATION
SMART FORESTRY
As a part of the smart IoT application layer, it helps data analysis and visualization
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Forestry ecological resources are an important foundation to support the sustainable development of China's economy and society. Forestry is not only an important public welfare undertaking, but also an important basic industry. With the gradual application of modern information technology, information resources have increasingly become an important factor in forestry development, and the leading and supporting role of information technology in forestry development has become more prominent. The "five-in-one" overall layout of the cause, the National Forestry Administration has also specially promulgated and implemented the "Guiding Opinions on the Development of Smart Forestry in China" and the "Action Plan for the Development of the Internet of Things in China's Forestry", marking that China's forestry informatization has entered the stage of "digital forestry". A new stage in the development of "smart forestry".
The development of smart forestry must rely on the existing forestry information system. Solution providers or software manufacturers must combine the latest Internet of Things, cloud computing, and big data technologies to further improve the perception of forestry ecological resources, while opening up existing business systems, to achieve data exchange and sharing. However, it is difficult for traditional forestry management system software manufacturers or solution providers to completely redevelop the corresponding systems in a short period of time. They need a tool that can quickly integrate existing business system resources and open up data islands between business systems. Connect the new IoT sensor network, conduct situational awareness of forestry resources through data visualization, and use data analysis and mining technology to solve specific business problems such as early warning.
Core advantages description
DataFocus can be deployed as an independent big data platform, or as an integrated application of the data analysis module of the "smart forestry" big data solution. Use the DataFocus big data warehouse to build a unified big data center, establish unified data standards, and provide unified data services to the outside world.
DataFocus builds a unified smart forestry big data platform by extracting the existing resource monitoring and management system, forestry government affairs system and other business system databases of forestry management departments. It also conducts unified planning, unified standard, unified system, and unified management of forestry data, laying the foundation for subsequent data application.
Integrating standardized data greatly improves usability. Relying on DataFocus' innovative database search engine technology, it provides data application services anytime, anywhere, on demand and at low cost. For example, through the search and analysis function of DataFocus, it provides timely statistical data query and analysis for forestry managers at all levels, and creates a large screen of situational awareness visualization. In order to improve the management service level and improve service efficiency.
Use the DataFocus data early warning function to set forest state parameters such as temperature for forest fire monitoring, and notify the data exceeding the threshold through SMS or email; use the built-in GIS map visualization function of DataFocus to dynamically monitor monitoring points. Or monitor and evaluate forestry resources through forestry system statistical data, and create a forestry ecological health evaluation index system.
The key to smart forestry is to integrate the data resources of the existing forestry information system. As a highly flexible professional software product focusing on data analysis and algorithm integration, DataFocus can be easily integrated with various business systems. Software suppliers in the forestry industry can choose to integrate various functions of DataFocus according to their own characteristics, such as data warehouse, data visualization, search-based exploration analysis, data modeling, etc.
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.
There are various forestry management systems, and some highly time-sensitive data, such as sensor temperature warning data, must be acquired in real time, which can be read and applied through DataFocus' directly-connected database technology; and some data visualization applications, such as forestry resource assessment indicators, etc. , which can process and analyze a large amount of data offline through the incremental extraction database technology of DataFocus.
DataFocus' unique patented technology based on natural language parsing makes data acquisition extremely simple for users, without any technical barriers (no need to write code), thus greatly reducing the cost of use, which enables smart forestry solution providers or Software companies to easily integrate various functions of DataFocus without any secondary code development, and the cost is completely controllable.
Faced with the emerging concept of "smart forestry", they initially planned to develop a complete set of corresponding solutions, but quickly gave up. The reason is simple. The technologies involved in smart forestry, from IoT hardware and software, to cloud computing, big data, video surveillance, data analysis and modeling, can be said to be all-encompassing. As a small-scale vertical industry software contractor, their team of personnel could not complete such a complex system development in a short period of time, and due to the different technical routes involved, after careful evaluation, they concluded that, complete self-development costs too much, and the final customer cannot accept such a high-cost solution. What's more troublesome is that many new entrants have begun to eat away high-quality customers in the industry by integrating resources. In the end, L company chose the method of system integration with multiple parties for system integration. They introduced the DataFocus system to complete the construction of the big data warehouse. Relying on the original industry accumulation, they quickly developed a number of data visualization products, and finally created a set of a complete "smart forestry" solution, now they rely on DataFocus' flexible search and analysis technology, and can fully promise customers to develop customized data visualization and data model design, which brings them strong competitiveness.
