Research On Key Technologies Of Cloud Service Platform For Farmland Soil Moisture Monitoring And Intelligent Irrigation

"Cloud computing" as a service-oriented computing model provides infrastructure, platforms and software service for users mainly through the Internet, which offers a new method to solve the contradictions between the demand and investment of information service in the monitoring of soil moisture content and irrigation decision-making of the current farmland. Through the platform of cloud service, the service cost when customers use the information of moisture monitoring to conduct irrigation decision and the investment risk of system construction can be reduced effectively; Moreover, the informationization construction efficiency of water-saving irrigation management can be improved. The rapid integration and construction of the application system through on-demand service, is the key to realize the "software as a service” in cloud service. In order to realize the goal of the rapid construction of farmland soil moisture monitoring and intelligent irrigation system, this study proposes the architecture of cloud service platform suitable for soil moisture monitoring and intelligent irrigation decision-making service, develops an optimization design method of cloud service granularity for farmland soil moisture monitoring, suggests the rapid construction technological methods of farmland soil moisture monitoring and intelligent irrigation application system based on the service, designs and implementation the key cloud service of soil moisture monitoring and intelligent changing decision-making, and provides theoretical and technical basis for the high efficient and safe construction of the farmland soil moisture monitoring and intelligent irrigation cloud service platform. The main conclusions of this study as follows:(1) Analyzed the architecture of cloud service platform and the related key technical issues. Through comparing architecture characteristics of mainstream cloud services platform and combining with the analysis of farmland soil moisture monitoring and intelligent irrigation business field, the private cloud was determined as the most effective way to build the cloud services platform of the moisture content monitoring and intelligent irrigation, and services granularity design, service management and integration, and security issues was the key technology of platform construction for private cloud service. Integrated with the cloud services platform framework design, requirement analysis and function design, architecture of cloud services platform constructed by private cloud services platform suitable for farmland soil moisture monitoring and intelligent irrigation was designed, which had good scalability and user transparency.(2) Researched on the optimization design method of cloud service granularity for farmland soil moisture monitoring and intelligent irrigataion. As an important attribute to characterize the quality of cloud services, the service granularity greatly affected the flexibility of on-demand service and the difficulty of service integration. Through the comprehensive analysis of the similar degree and correlation, dependency of farmland soil moisture monitoring service in the feature space, the atomic services related distance model was constructed to orient the business of farmland soil moisture monitoring services based on weighted directed graph. While design optimization approach for quantitative of service granularity in cloud service platform was solved by transforming granularity optimization problem into a path optimization problem, and combines with the ant colony optimization clustering algorithm to proposed a cloud services granularity optimization method. The result of services granularity optimization experiment of farmland soil moisture monitoring based on the comparative analysis of the QoS service evaluation model showed that comprehensive service granularity of the service granularity optimization set had moderate size, and more in line with high polymerization, low coupling and low complex degree of service granularity design principles. Compared with the set of fine-granularity and coarse-granularity, the cloud service with optimal granularity could provide the highest quality of service.(3) Researched on the rapid construction techniques for farmland soil moisture monitoring and intelligent irrigation system based on service. Service integration technology level determines the construction speed and efficiency of farmland soil moisture monitoring and intelligent decision-making of irrigation application system based on on-demand service. The organization operational efficiency of basic services was improved through analyzing the organization management mode of services, and constructing the service management platform. Analyzed common equipment and the function of soil moisture monitoring and irrigation control application system, the framework of visualization system used for the customization and development of applications system was designed and developed based on web front-end, which was helpful to realize the rapid and efficient construction of application system.(4) Researched on data transmission services, analysis services for irrigation decision-making and security control services. Security, availability and service performance are important aspects of the quality level of cloud service platform. In this study, real-time data push mechanism based on observer mode was designed and developed, aiming at the problem of real-time data communication, which could achieve the improvement of real-time performance in a low cost. Cloud model library of precision irrigation decisionmaking was designed, which could provide optimization-modeling capabilities though using the application interface of cloud model library, effectively reduce the modeling complexity caused by modeling diversity, and solve the optimization and adaptation of irrigation decision-making model. Aiming at the problem of security access control in the cloud service application environment, a new access control model REBAC based on role and spatial attributes fine granularity was proposed, which had stronger expression ability on the objective world and flexibility, and realize the access control on services fine granularity, multi-level, and dynamic limited access to the space area.(5) Based on these key techniques, farmland soil moisture monitoring and intelligent irrigation application of cloud services prototype system was designed, and the application of the core function module was achieved, and the application case in the soil moisture estimation of countrywide was also given in the study. The results showed that the application system constructed on on-demand service had high efficiency, flexibility and extensibility.