水产养殖机器人关键技术研究进展
Research Progress on Key Technologies of Aquaculture Robots
- Authors:
- Keywords: Aquaculture; Robot; Internet of Things; Unmanned ship; Environmental monitoring; Automatic feeding水产养殖; 机器人; 物联网; 无人船; 环境监测; 自动投饲
- Abstract: In traditional aquaculture, the intervention of external factors on aquaculture objects is less, which mainly depends on artificial feed feeding, parameter monitoring and water quality regulation, which is time-consuming and labor- consuming and inefficient. With the rapid development of new generation information and intelligent equipment technology, these modern technologies have been gradually applied to traditional aquaculture, and the key links of aquaculture have been deeply studied and applied, which has effectively improved the efficiency of aquaculture and promoted the rapid development of aquaculture. In order to understand the architecture, development and application of aquatic robots more comprehensively, and to understand the research status of key technologies of aquatic robots, this paper first discusses the classification and typical system architecture of main aquaculture robots in detail, and then focuses on the key technologies of aquaculture robots, and then summarizes and analyzes the research progress from five aspects: navigation system, sensing system, data transmission, decision model and feedback execution.Based on the analysis of the bottlenecks of each key technology, this paper points out the main problems restricting the application and popularization of aquaculture machines, and gives some relevant suggestions. Finally, the research on the key technologies of aquaculture robots is summarized and prospected. It is hoped that this paper can provide a reference for the key technology breakthrough and large-scale popularization and application of aquaculture robots.传统的水产养殖，外部因素对养殖对象的干预较少，主要依靠人工进 行饲料投喂、参数监测和水质调节等作业，费时费工，效率较低。随着新一代 信息和智能装备技术的快速发展，人们逐渐将这些现代科技应用于传统水产养 殖，并对水产养殖关键环节进行了现代技术的深入研究和应用，有效提高了养 殖效率，推动了水产养殖业的快速发展。为了更全面的了解水产机器人的架构、 发展与应用，了解水产机器人关键技术的研究现状，本文首先对主要水产养殖机器人的分类和典型系统架构作了详细论述，然后聚焦水产养殖机器人关键技 术，分别从导航系统、传感系统、数据传输、决策模型、反馈执行 5 个方面研 究进展进行了综述和分析，通过分析各关键技术的瓶颈，指出了当前制约着水 产养殖机器人大范围应用推广的主要问题并给出了相关建议，最后对水产养殖 机器人关键技术的研究作了总结与展望。希望本文可以为水产养殖机器人关键 技术突破和大规模推广应用提供参考。
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综述
诺氟沙星定量检测太赫兹超材料结构设计与灵敏度增强探讨
Discussion on Design and Sensitivityenhance Simulation of Terahertz Supermaterial Structure for Norfloxacin Quantitative Detection
- Authors:
- Keywords: Terahertz; Metamaterial; Absorber; Norfloxacin太赫兹; 超材料; 结构; 诺氟沙星
- Abstract: At present, problem of antibiotic residues in livestock products has caused widespread concern and discussion in the society and is one of the important issues affecting food safety. Qualitative and quantitative detection of antibiotics by means of effective detection means is an important prerequisite for food safety. Traditional detection methods have certain deficiencies, and new detection methods with high sensitivity need to be further explored. A method for measuring the content of norfloxacin by using a novel metamaterial absorber combined with a terahertz time domain spectroscopy system is proposed in this manuscipt. Firstly, the chemical bond energy and terahertz properties of norfloxacin antibiotics were analyzed. Then the theoretical model of the supermaterial absorber was studied. Based on the terahertz absorption peak of norfloxacin, based on CST Microwave studio software, The superabsorbent of single, two and three characteristic peaks of norfloxacin has an absorption rate of 90%, which achieves a theoretically better degree of simulated absorption with high sensitivity and discusses the possible effects. Subsequent experimental verification of norfloxacin terahertz signal content provides theoretical reference.当前，畜产品中抗生素残留问题日益严重引起社会的广泛关注。借助 有效检测手段进行抗生素含量定性定量检测是保障食品安全的重要前提。传统 检测方法存在一定的不足，新型高灵敏度检测手段有待深入探索。本文以诺氟 沙星为检测对象，开展了一种结合其太赫兹波段吸收特性的新型超材料结构结 构设计，并对信号模拟增强进行了初步探讨。首先，作者分析了诺氟沙星抗生 素的化学键能及太赫兹吸收特性，然后研究了超材料结构增强理论模型，并根 据诺氟沙星的太赫兹吸收峰位置，基于 CST Microwave Studio 软件，设计了分 别针对诺氟沙星的单峰、双峰和三个特征峰的超材料结构结构，吸收率均达到 90%，实现了理论上较好程度的模拟吸收，然后对可能产生的灵敏度增强效果进行了探讨，为后续通过实验验证进行诺氟沙星太赫兹信号含量提供了理论参考。
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国家自然科学基金项...科研立项应用研究
