Research And Application Of Decision-making System Of Turfgrass Introduction Based On Cloud Computing

This research focused on the key problem to turf establishment-- how to choose the turfgrass species suitable for the ecological environment of a given area, use computer calculation as the method, carries out a study on the theory of decision-making of turfgrass introduction. In order to promote the efficiency of turfgrass introduction work and enhance the scientificity and economic benefits of turfgrass introduction work, this thesis has realized the quantitative and scientific decision-making of turfgrass introduction on the basis of the application of computers. Specific works are as follows:1. The determination of the indicator and method of quantitative decision-making of turfgrass introduction. Taking grassland typology and similarity theory of introduction as theoretical basis, this thesis carries out the analysis and research on the similarity of ecological and habitat environment between introducing area and introduced place of turfgrass and the feasibility of turfgrass introduction and cultivation according to the region(class), section(subclass), and productive and economic characters(type). And on the basis of the research, the indicators of climate and soil as the evaluation criteria of the habitat environment of turfgrass are determined. Moreover, similarity comparison methods including the similarity of turfgrass introduction, the similarity priority ratio of Euclidean distance and the fitting of temperature curve are adopted as the similarity calculation methods of introducing areas and the potential turfgrass to be introduced.2. The establishment of the database of turfgrass introduction. This research sets up a large, expandable, secure, reliable and economical database of turfgrass introduction based on cloud computing technology, which is for store the large amount of data needed for the similarity comparisons be conducted on the climate and soil indicators between areas introduced from and to. The database consists of three core databases of climate, soil and grass seed. The database of turfgrass introduction based on the cloud computing can not only complete the storage of data, but also take advantage of the online data analysis software to analyze and integrate the data in database, while the maintenance and security work of the database itself are completed by the cloud computing center, which greatly reduces the construction and maintenance costs of the database.3. The establishment of Quantitative Decision-Making System of Turfgrass Introduction. By means of the similarity computing method of the ecological habitat condition in terms of turfgrass introducing area and introduced place, this research builds a complete Quantitative Decision-Making System of Turfgrass Introduction based on cloud computing technology. The system consists of five modules: lawn and grass seed management, introducing area management, climate management, humidity dictionary and similarity comparison, which can fulfill six functions such as lawn and grass seed management, area management, climate management, humidity dictionary, chart retrieval and calculating of introduction similarity. Among which the calculating of introduction similarity is the core of the system, and it offers the result of introduced plantation of lawn grass in the form of quantification by means of cloud calculating, making the decision-making of introduced plantation of lawn grass more scientific and reliable. The main workflow of the system is: inputting data/calling existing data of the database, settling on the cloud and then forming the decision-making conclusion or report. For the convenience of users in different conditions to use this decision system, this thesis formed three optional versions: the stand-alone version, the online version and the mobile version. In the absence of network support, users could use the stand-alone version to complete decision data analysis, the online version and the mobile version adopted the cloud network technology to complete calculation of the data. This design not only met the requirements of different users, but also greatly promoted the quantitative decision-making of turfgrass introduction theory. Further more, it makes a certain contribution to promoting the development of China’s turf grass industry, city landscaping, environmental protection, sports industry.