章军富, 陈峻崎, 胡剑非, 赵燕东. 基于GPRS/SMS和μC/OS的都市绿地精准灌溉控制系统[J]. 农业工程学报, 2009, 25(9): 1-6.
    引用本文: 章军富, 陈峻崎, 胡剑非, 赵燕东. 基于GPRS/SMS和μC/OS的都市绿地精准灌溉控制系统[J]. 农业工程学报, 2009, 25(9): 1-6.
    Zhang Junfu, Chen Junqi, Hu Jianfei, Zhao Yandong. Control system of urban green land precision irrigation based on GPRS / SMS and μC / OS embedded technology[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(9): 1-6.
    Citation: Zhang Junfu, Chen Junqi, Hu Jianfei, Zhao Yandong. Control system of urban green land precision irrigation based on GPRS / SMS and μC / OS embedded technology[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(9): 1-6.

    基于GPRS/SMS和μC/OS的都市绿地精准灌溉控制系统

    Control system of urban green land precision irrigation based on GPRS / SMS and μC / OS embedded technology

    • 摘要: 为了节约都市绿地灌溉用水,提高水资源利用率,该文设计了一套基于ATmega128 MCU、嵌入式操作系统、全球移动通讯系统GSM、通用分组无线业务GPRS(General Packet Radio Service)的都市绿地远程精准灌溉控制系统。该系统实现了网络化、智能化的土壤墒情的实时检测,以及历史数据查询、土壤信息及灌溉信息的图表显示,用水报表生成,根据地势、植被不同,生成不同灌溉策略等功能。采用GSM/GPRS自主切换技术,结合现代嵌入式实时操作系统μC/OS,进一步提高了系统的可靠性。该系统能根据植物的土壤含水率阈值和生物需水量实现精准节水灌溉。初步试验证明,该系统数据传输可靠性高,节水效果显著。

       

      Abstract: In order to save water used for irrigation on urban green land, authors designed a control system of urban green land precision irrigation which was based on ATmega128 MCU, the embedded operating system, global system for mobile communications (GSM) and general packet radio service (GPRS). The system can detect soil moisture real-timely with the characteristics of network and intelligence of the system integrated functions such as historical data query, demonstrations of soil and irrigation information chart, generating different irrigation strategies according to the conditions of topography and vegetation. This system used the technology of switching SMS and GPRS automatically and adopted the embedded real-time operating system μC/OS, which further improved the reliability of the system. Precision irrigation can be realized by the detection of threshold of soil moisture and the plant physiological water requirement. Results in field show that the system has high reliability of data transmission and significant effects of water saving.

       

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