基于ZigBee-GPRS的现代水产养殖系统的设计

文中针对当前水产养殖控制系统的缺陷性和养殖现场环境的复杂性,结合WSN(Wireless Sensor Network)技术优势,研制一套基于Zig Bee-GPRS无线通信技术的水产养殖监控系统,系统实时监测并精准控制和水产养殖紧密相关的环境因子,如温度、盐度、溶解氧、氨氮和p H值等,自行设计传感网络节点,部署获取水体参数的传感网络。并开发了传感节点、网关节点及服务器端相关软件,实现对水体参数的监测、控制、存储和查询等功能。     

基于嵌入式技术的溶解氧检测系统设计

水中的溶解氧是各种水生生物呼吸代谢的基础,其含量的高低是水质好坏的一个重要指标.如何对水质中的溶解氧参数进行科学合理的检测,在水产养殖中具有重要的参考意义[1].文中提出了一种基于嵌入式Web的溶解氧检测系统,以ARM9开发板作为采集终端和嵌入式网关的核心,构建系统的软硬件平台及Web服务器.系统可以对水质水量中的温度、溶解氧参数进行科学检测,同时将数据接入以太网,用户可通过客户端IE浏览器实现对检测的数据进行远程在线监测.     

水产养殖物联网监控系统的设计

针对蓝色经济区水产养殖粗放式管理现状,设计了新型水产养殖物联网监控系统。该系统的传感器节点负责水质数据采集功能,并通过Zigbee无线传感器网络将数据发送给汇聚节点,汇聚节点通过GPRS模块接入Internet网络,将数据传送至远程监控中心。同时监控中心设置的各项参数通过Internet和汇聚节点传到采用PIC单片机的控制节点,实现水质的自动控制。监测中心软件采用C＋＋ Builder开发,为用户提供形象直观的实时数据监测平台。经过在日照市某水产养殖基地的试用,系统性能满足水产养殖水质监控的应用要求。     

基于物联网的水质监测系统设计

针对传统水质监测方式中存在的测试周期长、数据反馈速度慢等弊端,本文提出一种智慧型水质实时监测系统。本系统以无线传感器网络、网络摄像机以及各类水质污染监测传感器以及后台数据库为核心,开发具有自愈能力的自组网小型水质监测系统,实现对水产养殖用水的水位、溶解氧、PH值、温度、图像等多参数的采集,并通过无线网络实现传感器检测节点和协调器节点之间数据快速、准确的传输,进而对多参数进行实时远程监测,解决水产养殖业水质实时监测和管理问题。     

水产养殖环境因子监控系统

鉴于水质对水产养殖的重要性,研制了水产养殖环境因子监控系统。该系统由上位机和下位机组成,上位机由PC实现,下位机以AT89S51单片机为核心。系统辅以专家系统,可以实现水产养殖环境因子的实时监控、数据的采集、显示、存储等功能。     

无人机技术在水产养殖作业通信系统中的应用

由于原有通信系统存在信号数据接受间隔,无法对水产养殖作业产生的数据进行连续性控制,导致各个节点不能直接和终端完成闭环通信,对养殖水质的控制效果逐渐降低,最终影响水产养殖的效果,研究无人机技术在水产养殖作业通信系统中的应用。在硬件设计上,构建无人机通信数据传输框架,完成不同类型通信数据解码;设计数据接收串口电路单元,实现通信数据信号的控制与管理。在软件设计上,基于无人机构建水产养殖通信模型,集约化处理养殖作业约束条件,规划全覆盖路径定位水产养殖作业通信,完成系统设计。实验结果:以水产养殖池塘的水质参数进行实时监测,将增氧机设备的控制效率作为测试对象,在该文通信系统应用下,能够对发生水质问题的养殖区域进行增氧机调控,及时对养殖池塘的生态环境进行调控,具有实际应用意义。     

基于Web的远程监控系统的研究

目前远程监控系统的解决方案大多采用C/S模式,而现在B/S模式在监控系统中的应用正被人们所重视,利用Web和数据采集技术开发远程数据采集系统是目前工业中非常重要的应用之一.主要讨论了基于Internet的远程监控系统在水产养殖中的应用,主要包括硬件结构和软件模块.系统设计方案中的远程智能终端采用PLC系统实现,数据库采用ASP.NET技术实现,用户可以通过浏览器实现对现场设备状态的监控.     

基于虚拟仪器氨氮在线检测系统研究

针对治理水体富营养化厌氧氨氧化工艺中多参数检测如ph值、氨氮、总磷、总氮、溶解氧等。本系统选用STM32作为处理芯片,结合污水处理工艺特点,实现对温度、PH值和氨氮等指标监控,实现了对多参数水质指标监控。本系统用到了虚拟仪器技术、电化学分析技术、无线通信技术等相关技术,结果表明所采集的数据稳定可靠,满足了厌氧氨氧化工艺中对数据监测要求。     

水产养殖的物联环境监控系统设计

物联网技术的发展,带动了对水产养殖环境的监控,能够更有效的促进水产养殖。本设计在物联网的感念上,设计了一种基于水产养殖的环境监控系统,对水产养殖的系统架构、传感网络层的硬件和无线网络建立进行了系统设计。     

智慧渔业水产养殖系统物联设备安全监控技术

传统渔业水产养殖系统安全监控技术存在监控数据传输不稳定的问题,为此,提出基于传感组网节点优化的智慧渔业水产养殖系统物联设备安全监控技术.构建监控节点优化定位模型,采用路由自适应探测协议实现监控组网协议设计;通过分布式均衡控制模型设计监控节点优化部署和物联网节点传输路由;构建全网功耗均衡模型,均衡监控信道;结合自适应路由...     

基于窄带物联网养殖远程水质监测系统设计

为了促进太湖片区鲈鱼养殖产业信息化发展,对鱼塘水质进行更优的远程监测,文章设计了一种基于窄带物联网养殖远程水质监测系统,实现了远程数据采集、水质监测和管理功能。该系统选用MKL36Z64VLH4为微控制器,以ME3616通信模块实现无线传输功能,实现鱼塘水质远程实时监测功能。     

Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks

The design of monitoring systems for marine areas has increased in the last years. One of the many advantages of wireless sensor networks is the quick process in data acquisition. The information from sensors can be processed, stored, and transmitted using protocols efficiently designed to energy saving and establishing the fastest routes. The processing and storing of data can be very useful for taking intelligent decisions for improving the water quality. The monitoring of water exchange in aquaculture tanks is very important to monitor the fish welfare. Thus, this paper presents the design, deployment, and test of a smart data gathering system for monitoring several parameters in aquaculture tanks using a wireless sensor network. The system based on a server is able to request and collect data from several nodes and store them in a database. This information can be postprocessed to take efficient decisions. The paper also presents the design of a conductivity sensor and a level sensor. These sensors are installed in several aquaculture tanks. The system was implemented using Flyport modules. Finally, the data gathering system was tested in terms of consumed bandwidth and the delay Transmission Control Protocol (TCP) packets delivering data from the sensors.     

基于Sentinel-2遥感数据的上海市河道水质参数反演研究

由于上海市河湖水网密布,科学有效地监测河湖水质,有利于巩固河湖治理成果,为新形势下水资源的保护和管理服务。研究目的是实现卫星遥感技术在城市水体水质监测中的有效应用。基于Sentinel-2多光谱影像,采用机器学习技术建立了城市河流水质参数反演模型,对2019~2021年上海市103条河流的溶解氧(Dissolved Oxygen, DO)、高锰酸盐指数(Permanganate index, CODMn)、氨氮(Ammonia Nitrogen, NH3-N)和总磷(Total Phosphorus, TP) 4种水质参数进行了遥感反演。分析了上海市主要河流水质参数的时空变化特征,并对上海市水环境进行了评价。结果表明,DO、CODMn和TP三个水质指标的反演精度优于80%,NH3-N的反演精度优于70%;4种水质参数所属水体类别均优于V类;第一、第四季度水质优于第二、第三季度。     

LoRa-Based WSNs Construction and Low-Power Data Collection Strategy for Wetland Environmental Monitoring

The wetland that known as "the kidney of the earth" is an ecological system with many resources. Monitoring of wetland environment includes the monitoring of water quality, air and soil. The parameters of temperature, pH value, turbidity, dissolved oxygen (DO), water level, conductivity of water, illuminance, PM2.5, harmful gas, and soil moisture is particularly important for the survival of animals in wetland. Real-time monitoring wetland environment is conducive to understanding the causes and trends of environmental change in the whole region, so as to make environmental change emergency strategies timely. The author introduces a real-time monitoring system based on Multi-sensor Combination Module (MSCM) and LoRa. This system has two types of MSCM, one is for water and the other is for air. The MSCM for water consists of six sensors, such as water temperature sensor, pH sensor, turbidity sensor, dissolved oxygen sensor, conductivity sensor, and water level sensor, and stm32 core processor, which has the advantages of low power consumption and high speed. The data collection node uploads the collected data to the base station through a LoRa module with low power consumption, high speed and wide coverage. The base station and the collection node are connected in a star. The LoRaWan protocol is used to realize the communication between acquisition nodes and sink. In the case of code rate is 4/5, bandwidth is 500 kHz and spreading factor is 12, the effective throughput of the system can reach 1172 bps. At the same time, a data fusion algorithm based on fuzzy decision is designed for data processing on the acquisition nodes to reduce the amount of uploaded data, reduce power consumption and improve network throughput. Experiments show that the system has strong stability, flexible networking, low power consumption, long communication distance, and is suitable for wetland environmental monitoring.

     

海水养殖监测系统无线传感器网络协议研究

文中将无线传感器网络应用于海水养殖监测系统,根据海上养殖监测的特点,提出了一种适合海水养殖的无线传感器网络协议。该协议采用最小跳数异步分簇路由算法构建无线传感器网络,协调簇内能量平衡。对于正常数据和异常数据,采用自适应的数据传送机制进行数据传输,降低数据传输量,实现网络能量优化。仿真结果表明,在异常数据率较小的情况下,自适应的数据传输中节点产生的平均数据量和平均冗余数据量比普通的事件驱动型数据传输要小很多,降低了能耗,提高了传输效率。在信道传输质量较差的情况下,自适应的数据传送机制的传输效率更具优势。     

Study on denoising of continuous spectrum on-line monitoring signal of water quality with micro-reagents based on HHT

A continuous spectrum water quality on-line monitoring signal processing method based on Hilbert-Huang transform (HHT) is proposed in this paper, which combines the micro-reagent water quality on-line monitoring technology of sequential injection. The modulation signal and spectrum curve of each intrinsic mode function (IMF) component of the original spectrum signal were obtained by empirical mode decomposition (EMD). The water sample data of different concentrations in the continuous spectrum on-line monitoring system was analyzed by the HHT model. The noise signal was excavated to realize the noise reduction processing, and the reconstruction of the continuous spectrum signal was realized after the noise reduction processing was completed. The research results show that this method can effectively reduce the noise of continuous spectrum signals according to different signal-to-noise characteristics of continuous spectrum, and has convenient use, fast processing speed, and high resolution in the time-frequency domain, which effectively improves the stability and accuracy of the micro-reagent continuous spectrum water quality on-line monitoring system.     

水质自动监测控制系统

水质自动监测控制系统是一套含水质自动分析仪、数据采集、站点控制、远程监控、数据发布于一体的在线全自动监控系统。该系统实现了对水质的实时连续监测和远程控制,能及时发现主要流域水质的异常变化,追踪污染源,对水质污染迅速做出预警预报,从而有效避免水质污染事故的扩大。