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Modeling of comprehensive power load of fishery energy internet considering fishery meteorology

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Information Processing in Agriculture 2023年第4期10卷 581-591页

作者： Xueqian Fu Tong Gou College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina key laboratory of smart farming technologies for aquatic Animal and livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina

Accurate calculation for comprehensive power load of fishery energy internet plays a significant role in reasonable using of energy and reducing environmental pollution.However,as fishery power load is of greatly unique meteorology sensitivity,it continues to be a difficult problem.Therefore,the research of fishery meteorology is an important part of the rational development of fishery resources,the protection of production safety,and the pursuit of high and stable yield.This paper makes a deep study on the power load of the fishery energy internet under the influence of fishery meteorology and takes onshore fish pond as the research object.First of all,the power load is divided into three parts:oxygen enrichment power load,feeding power load,and water replenishment and drainage power load.The impact mechanism of fishery meteorology(including temperature,surface wind speed,precipitation,relative humidity,etc.)on it is described,and then the overall power load is obtained through modeling and integration.Finally,taking the Yuguang Complementary Project in Zhouquan Town,Tongxiang,Zhejiang Province,China as an example,using the meteorological data of its typical spring day and using the MATLAB tool to solve,the hourly comparison of the three types of power loads,the comprehensive power load demand,the full-day electricity charge forecast and the total annual power consumption are calculated.The annual power consumption per hectare and per kilogram of output calculated by simulation are basically consistent with the order of magnitude of the survey data,which proves the validity of the model proposed.The model established in this paper is an original work,and the exploration of fishery energy internet can draw lessons from it.

关键词： Comprehensive power load Fishery energy internet Meteorology sensitivity Onshore fish pond Modeling and integration

key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry

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Information Processing in Agriculture 2023年第3期10卷 416-437页

作者： Xueqian Fu Haosen Niu College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina key laboratory of smart farming technologies for aquatic Animal and livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina

Energy consumption in the agricultural sector is significant,reaching 20%of the total energy consumption in China.Agricultural Energy Internet,an important extension of Energy Internet in the agricultural field,significantly contributes to agricultural modernization.key technologies of Agricultural Energy Internet are vital factors supporting its development.This article systematically reviews the key technologies of Agricultural Energy Internet for two areas:agriculture and fishery.The working mechanisms and power consumption characteristics of some state-of-the-art new-energy agricultural intelligent equipment are described.In addition,the principles and profit methods underlying the agro-industrial complementary operation model are introduced.Moreover,against the Agricultural Energy Internet background,the development trends of some state-of-theart new energy agricultural intelligent equipment,agro-industrial complementary,and carbon–neutral technology are proposed in this paper,providing novel perspectives on the promotion of the development of Agricultural Energy Internet and related technological innovation research.An unmanned farm is the main form of the future agricultural system,which is powered by the Agricultural Energy Internet based on smart agriculture and a smart grid.It will become the inevitable trend of modern agriculture to replace oil agriculture with electric farms.The electricity in farming is mainly generated by renewable energy.Renewable energy power generation has low carbon emissions and is the future direction for the development of agricultural energy systems.In addition,the Internet of Things will be further strengthened to realize automation and intelligence of agricultural energy systems。

关键词： Agricultural Energy Internet Agricultural equipment Agricultural planting Fisheries industry Carbon neutrality

Lightweight Fish Bait Particle Counting Method Based on Pruning and Shift Quantization

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Journal of Beijing Institute of Technology 2023年第3期32卷 313-327页

作者： Siyue Hou Yaqian Wang Bingqian Zhou Dong An Yaoguang Wei National Innovation Center for Digital Fishery China Agricultural UniversityBeijing 100083China key laboratory of smart farming technologies for aquatic animals and livestock Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing 100083China Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture Beijing 100083China College of Information and Electrical Engineering China Agricultural University

In the process of aquaculture,monitoring the number of fish bait particles is of great significance to improve the growth and welfare of fish.Although the counting method based on onvolutional neural network(CNN)achieve good accuracy and applicability,it has a high amount of parameters and computation,which limit the deployment on resource-constrained hardware devices.In order to solve the above problems,this paper proposes a lightweight bait particle counting method based on shift quantization and model pruning strategies.Firstly,we take corresponding lightweight strategies for different layers to flexibly balance the counting accuracy and performance of the model.In order to deeply lighten the counting model,the redundant and less informative weights of the model are removed through the combination of model quantization and pruning.The experimental results show that the compression rate is nearly 9 times.Finally,the quantization candidate value is refined by introducing a power-of-two addition term,which improves the matches of the weight distribution.By analyzing the experimental results,the counting loss at 3 bit is reduced by 35.31%.In summary,the lightweight bait particle counting model proposed in this paper achieves lossless counting accuracy and reduces the storage and computational overhead required for running convolutional neural networks.

关键词： aquaculture deep learning feed particles counting model slimming

Review of Simultaneous Localization and Mapping Technology in the Agricultural Environment

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Journal of Beijing Institute of Technology 2023年第3期32卷 257-274页

作者： Yaoguang Wei Bingqian Zhou Jialong Zhang Ling Sun Dong An Jincun Liu National Innovation Center for Digital Fishery China Agricultural UniversityBeijing 100083China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China key laboratory of smart farming technologies for aquatic animals and livestock Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijing 100083China Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture Beijing 100083China.

Simultaneous localization and mapping(SLAM)is one of the most attractive research hotspots in the field of robotics,and it is also a prerequisite for the autonomous navigation of robots.It can significantly improve the autonomous navigation ability of mobile robots and their adaptability to different application environments and contribute to the realization of real-time obstacle avoidance and dynamic path planning.Moreover,the application of SLAM technology has expanded from industrial production,intelligent transportation,special operations and other fields to agricultural environments,such as autonomous navigation,independent weeding,three-dimen-sional(3D)mapping,and independent harvesting.This paper mainly introduces the principle,sys-tem framework,latest development and application of SLAM technology,especially in agricultural environments.Firstly,the system framework and theory of the SLAM algorithm are introduced,and the SLAM algorithm is described in detail according to different sensor types.Then,the devel-opment and application of SLAM in the agricultural environment are summarized from two aspects:environment map construction,and localization and navigation of agricultural robots.Finally,the challenges and future research directions of SLAM in the agricultural environment are discussed.

关键词： simultaneous localization and mapping(SLAM) agricultural environment agricultural robots environment map construction localization and navigation

Portable device for on-site detection of ammonia nitrogen

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Information Processing in Agriculture 2022年第4期9卷 475-484页

作者： Xianbao Xu Zhuangzhuang Bai Tan Wang National Innovation Center for Digital Fishery China Agricultural UniversityBeijing 100083China key laboratory of smart farming technologies for aquatic animals and livestock Ministry of Agriculture and Rural AffairsBeijing 100083China Beijing Engineering and Technology Research Center for Internet of Things in Agriculture China Agricultural UniversityBeijing 100083China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China College of Mechanical and Electronic Engineering Shandong Agricultural UniversityTaian 271018China

Portable measurement of ammonia nitrogen in water is of great significance for water qual-ity monitoring.It’s beneficial to reduce biological diseases and promote aquatic product safety.Traditional methods such as Nessler’s reagent method suffer from complex opera-tion,time delays and toxic residues.To realize simple and pollution-free detection,this paper develops a low-cost portable device for ammonia nitrogen detection.A test paper was proposed to cooperate the device and offer a chromogenic reaction.The portable device reduces the impact of any ambient light,simplifies the operation,and provides human–computer interaction.The result obtained for the detection range of 0.4–10 mg/L(R^(2) are 0.9902 and 0.9893 for the rang of 0.4–4.5 and 4.5–10 mg/L,respectively)with the detection limit of 0.36 mg/L,and the average recovery of aquaculture water is 100.98–137.75%.The results show that the portable device can provide a great potential for on-site detection ammonia nitrogen concentration.

关键词： Ammonia nitrogen measurement Colorimetric detection Portable device Test paper Aquaculture