This paper studies the design of water-saving irrigation system based on Internet of things. The structural model of the water-saving irrigation system was established, and the hardware and software of the control sys...This paper studies the design of water-saving irrigation system based on Internet of things. The structural model of the water-saving irrigation system was established, and the hardware and software of the control system were designed, with emphasis on the design and coverage calculation of the sensor nodes in the wireless sensor network. The wireless network and control system are tested, including network coverage, network connection, optimal communication distance and accuracy of data transmission. The experimental results show that the data transmitted by the wireless sensor is accurate and reliable, and the software and hardware of the automatic control system can work normally. The system can carry out intelligent irrigation timely and accurately.展开更多
Remote sensing data acquisition is one of the most essential processes in the field of Earth observation.However,traditional methods to acquire data do not satisfy the requirements of current applications because larg...Remote sensing data acquisition is one of the most essential processes in the field of Earth observation.However,traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required.To address this issue,this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data.Firstly,this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database.Secondly,a coverage calculation model is presented,which can show users the data coverage information in a selected geographical region under the data requirements of a specific application.Finally,according to the data retrieval results and the coverage calcula-tion,a machine-to-machine interface is provided to acquire target remote sensing data.Experiments were conducted to verify the availability and practicality of the proposed frame-work,and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods.It also achieved the online automatic acquisi-tion of large-scale heterogeneous remote sensing data,which can provide guidance for remote sensing data acquisition strategies.展开更多
文摘This paper studies the design of water-saving irrigation system based on Internet of things. The structural model of the water-saving irrigation system was established, and the hardware and software of the control system were designed, with emphasis on the design and coverage calculation of the sensor nodes in the wireless sensor network. The wireless network and control system are tested, including network coverage, network connection, optimal communication distance and accuracy of data transmission. The experimental results show that the data transmitted by the wireless sensor is accurate and reliable, and the software and hardware of the automatic control system can work normally. The system can carry out intelligent irrigation timely and accurately.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences[grant number XDA19020201]。
文摘Remote sensing data acquisition is one of the most essential processes in the field of Earth observation.However,traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required.To address this issue,this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data.Firstly,this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database.Secondly,a coverage calculation model is presented,which can show users the data coverage information in a selected geographical region under the data requirements of a specific application.Finally,according to the data retrieval results and the coverage calcula-tion,a machine-to-machine interface is provided to acquire target remote sensing data.Experiments were conducted to verify the availability and practicality of the proposed frame-work,and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods.It also achieved the online automatic acquisi-tion of large-scale heterogeneous remote sensing data,which can provide guidance for remote sensing data acquisition strategies.
