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Analysis of the Physical State and Operation of Hydraulic Infrastructure in the Konni Irrigated Area before Rehabilitation
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作者 Aboubacar Yerima Bako Djibo Illa Salifou Guero Yadji 《Open Journal of Applied Sciences》 2025年第1期127-136,共10页
In Niger, irrigated agriculture constitutes the main alternative for meeting family needs. It is within this framework that the state and its partners have adopted strategies to promote irrigated production sites. Thi... In Niger, irrigated agriculture constitutes the main alternative for meeting family needs. It is within this framework that the state and its partners have adopted strategies to promote irrigated production sites. This study was carried out on the Konni irrigated perimeter, the objective of which is to analyze the physical state of hydraulic infrastructures and their operation before the rehabilitation of the said perimeter. The methodology adopted consisted, first of all, of documentary research focused on data relating to this scope and our theme to properly guide the collection of data in the field. The field phase was then followed with an observation of hydraulic infrastructures one by one in order to assess their condition. Thus, the collected data was processed and analyzed. The results of this study show a notable deterioration of hydraulic infrastructure which affected the operating yield of the study area, with the development of barely 700 ha out of 1226 ha planned by the basic study for off-season production (57%). Bathymetric measurements showed that the volume of sediment that accumulated in the Zongo Dam is 1.2 million m3, which reduces its initial capacity from 12 million m3 to 10.8 million m3 after 43 years of service. The expansion joints of the feed canal are all in poor condition. 90% of the total length of the tertiary canals are degraded, 82.32% of the panels of the main canal C are degraded and 17.68% are cracked. All crossing structures are blocked between the RN1 and the Zongo dam. Based on this critical situation, it would be essential to consider rehabilitation work on all infrastructure in order to restore the hydraulic and even agronomic performance of the Konni irrigated area. 展开更多
关键词 Irrigated Area DAMS REHABILITATION work monitoring Distribution Network Konni
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Rapid excavation with a newly developed retaining system: Spiral assembly steel structure
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作者 关成立 杨宇友 王成彪 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第7期2719-2729,共11页
The spiral assembly steel structure, a newly developed retaining wall for the rapid excavation of small-sized foundation pits in unsaturated soil, is presented. This new type of retaining structure is prefabricated in... The spiral assembly steel structure, a newly developed retaining wall for the rapid excavation of small-sized foundation pits in unsaturated soil, is presented. This new type of retaining structure is prefabricated in the factory and is assembled on site in the excavation of a pit. This retaining structure is composed of several prefabricated steel structural units, in which the adjacent steel structural units are joined with connectors. Each steel structural unit has one steel pipe in the radial direction and is welded to a single piece of steel plate. After full installation in situ, the retaining structure becomes a cylindrical steel structure. With the protection afforded by this new type of retaining structure, excavation work can be completed within 24 h to a depth up to 5 m. In order to verify the reliability and effectiveness of this new retaining structure, field construction tests were conducted in Beijing, China. The test construction was monitored. The monitoring program included measuring stress in the structure, lateral earth pressure, and lateral deformation of the surrounding soil. The monitoring data from the field test were compared with the theoretical results. The results show that the proposed new structure is reliable and effective. 展开更多
关键词 working shaft rapid excavation retaining structure field construction monitoring
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Full-condition monitoring and intelligent yield prediction and decisionmaking technology for wheat combine harvesters
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作者 Weipeng Zhang Hongze Guo +4 位作者 Bo Zhao Liming Zhou Fengzhu Wang Dongyang Wang Yangchun Liu 《International Journal of Agricultural and Biological Engineering》 2025年第6期202-211,共10页
Against the backdrop of precision agriculture and the development of intelligent agricultural machinery,current domestic monitoring systems for wheat combine harvesters are plagued by limited functionality,low intelli... Against the backdrop of precision agriculture and the development of intelligent agricultural machinery,current domestic monitoring systems for wheat combine harvesters are plagued by limited functionality,low intelligence,significant errors in parameter monitoring,and yield estimation results prone to inaccuracies.Specifically,they lag behind mature international systems in terms of fault warning accuracy,data transmission efficiency,and yield visualization capabilities.This study seeks to realize comprehensive and precise monitoring,reliable fault early warning,and intelligent yield prediction for wheat combine harvesters across all operating conditions.To this end,it innovatively adopts CAN bus integration technology and impulse-type grain flow sensors to develop a comprehensive system for monitoring the operational status and warning faults of wheat combine harvesters,which covers the entire operational process.By integrating GPS positioning,multi-sensor parameter acquisition,and intelligent analysis modules through CAN bus integration,the system enables unified monitoring of geographic information,operational data,cleaning loss,and fault status.Additionally,it incorporates a yield measurement module based on an impulse-type grain flow sensor to generate the real-time yield distribution maps.Field experiments demonstrate that the system achieves an alarm accuracy of 97.3%,controls the fuel consumption measurement error within 5%,and limits the relative error of yield measurement accuracy to no more than 4%.Notably,the impulse-type grain flow sensor exhibits stable static detection accuracy and rapid,precise dynamic measurement performance-laying a solid foundation for the automation and intelligent advancement of combine harvester technologies. 展开更多
关键词 combine harvester working condition monitoring GPS production forecast intelligent decision-making
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