CN203772850U - Real-time tilapia cultivation water quality monitoring and pre-alarming integrated device - Google Patents
Real-time tilapia cultivation water quality monitoring and pre-alarming integrated device Download PDFInfo
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Abstract
本实用新型公布了一种罗非鱼养殖水质实时监测预警集成装置,其特征在于:其包括采样泵,输水管,检测槽,水质传感器,多参数水质自动分析仪,信号转换器,数据服务器,无线传输模块。本实用新型可以分步检测水体中溶解氧、温度、pH、氨氮、亚硝氮、总磷等离子浓度,数据进入数据服务器,数据服务器通过精确记录水质传感器和多参数水质自动分析仪采样、检测所用时间差将两者检测的数据进行整合,获得某一采样时间点水体的全部因子参数;服务器通过预装的比较算法将采集的数据与预设的罗非鱼养殖水体因子安全范围进行比对,将结果用无线传输至用户手机终端,及时指导养殖技术人员开展水体调控,极大地解放了养殖技术人员的大量体力、智力工作。
The utility model discloses a tilapia breeding water quality real-time monitoring and early warning integrated device, which is characterized in that it includes a sampling pump, a water delivery pipe, a detection tank, a water quality sensor, a multi-parameter water quality automatic analyzer, a signal converter, a data server, Wireless transmission module. The utility model can detect the dissolved oxygen, temperature, pH, ammonia nitrogen, nitrite nitrogen, total phosphorus and other ion concentrations in the water body step by step, and the data enters the data server, and the data server accurately records the sampling and detection of the water quality sensor and the multi-parameter water quality automatic analyzer. The time difference integrates the data detected by the two to obtain all the factor parameters of the water body at a certain sampling time point; the server compares the collected data with the preset safe range of tilapia breeding water factors through the pre-installed comparison algorithm, and The results are wirelessly transmitted to the user's mobile phone terminal, and timely guide the breeding technicians to carry out water regulation, which greatly liberates a lot of physical and intellectual work of the breeding technicians.
Description
技术领域 technical field
本实用新型具体涉及一种适合罗非鱼养殖水质实时监测预警装置,属于渔业养殖技术领域。 The utility model specifically relates to a real-time monitoring and early warning device suitable for tilapia breeding water quality, which belongs to the technical field of fish farming. the
背景技术 Background technique
我国的淡水养殖主要以池塘养殖为主,由于工农业的发展致使淡水养殖水源受到不同程度的污染,同时因为养殖密度高、禽畜肥水排放等养殖条件导致水体富营养化,水产养殖风险急剧升高。养殖水质需要及时得到检测、监控,以保证水产养殖业的正常进行。由于淡水养殖池塘面积大、分布广,目前养殖水质的检测主要依靠人工现场采集,送实验室用质谱仪、色谱仪等化学分析设备一一测定,检测数据虽然精准,但缺乏及时性、有效性,无法及时对养殖水体进行调控预警。近来水产技术人员设计发明了在线监测装置,初步解决了部分水质因子的在线监测问题。但由于罗非鱼对养殖水体适应的复杂性,仍需人工进行判断预测预警,增加了该技术推广应用的困难度。 my country's freshwater aquaculture is mainly based on pond aquaculture. Due to the development of industry and agriculture, freshwater aquaculture water sources have been polluted to varying degrees. At the same time, due to high aquaculture density, livestock manure and water discharge and other aquaculture conditions, water bodies have become eutrophic, and the risk of aquaculture has risen sharply. high. The quality of aquaculture water needs to be tested and monitored in time to ensure the normal progress of the aquaculture industry. Due to the large area and wide distribution of freshwater aquaculture ponds, the current detection of aquaculture water quality mainly relies on manual on-site collection, and sends them to the laboratory for measurement one by one with chemical analysis equipment such as mass spectrometers and chromatographs. Although the detection data is accurate, it lacks timeliness and effectiveness. , it is impossible to timely regulate and warn the aquaculture water body. Recently, aquatic technicians have designed and invented on-line monitoring devices, which preliminarily solved the on-line monitoring problems of some water quality factors. However, due to the complexity of tilapia's adaptation to aquaculture water bodies, manual judgment, prediction and early warning are still required, which increases the difficulty of popularization and application of this technology. the
实用新型内容 Utility model content
本实用新型的目的在于提供一种适合罗非鱼养殖水质实时监测预警装置,其能够远程、可追踪地监测罗非鱼养殖水质的因子,并通过人工智能推测水体下一步变化趋势,并通过数据库安全养殖水质范围对比进行养殖水质判断,具有及时性、精确性、智能化等特点,降低了养殖水体调控的技术门槛。 The purpose of this utility model is to provide a real-time monitoring and early warning device suitable for tilapia aquaculture water quality, which can monitor the factors of tilapia aquaculture water quality remotely and traceably, and predict the next change trend of the water body through artificial intelligence, and through the database Judging the quality of aquaculture water by comparing the range of safe aquaculture water quality has the characteristics of timeliness, accuracy, and intelligence, and reduces the technical threshold for aquaculture water regulation. the
本实用新型为实现上述目的,采用如下技术方案: In order to achieve the above object, the utility model adopts the following technical solutions:
一种罗非鱼养殖水质实时监测预警集成装置,其特征在于:其包括采样泵,输水管,检测槽,水质传感器,多参数水质自动分析仪,信号转换器,数据服务器,无线传输模块; A tilapia breeding water quality real-time monitoring and early warning integrated device is characterized in that: it includes a sampling pump, a water delivery pipe, a detection tank, a water quality sensor, a multi-parameter water quality automatic analyzer, a signal converter, a data server, and a wireless transmission module;
所述采样泵安装于池塘内,一端连接输水管; The sampling pump is installed in the pond, and one end is connected to the water delivery pipe;
所述输水管一端连接采样泵,一端连接到检测槽; One end of the water delivery pipe is connected to the sampling pump, and the other end is connected to the detection tank;
所述水质传感器安装于检测槽内,通过连接线与信号转换器相连,用于检测溶解氧、pH、温度等水质参数; The water quality sensor is installed in the detection tank, connected to the signal converter through the connection line, and used to detect water quality parameters such as dissolved oxygen, pH, temperature, etc.;
所述多参数水质自动分析仪采样管安装于检测槽内,通过数据线与信号转换器相连,用于分析包括氨氮、亚硝氮、总磷浓度等水质参数; The sampling tube of the multi-parameter water quality automatic analyzer is installed in the detection tank, connected to the signal converter through the data line, and used to analyze water quality parameters including ammonia nitrogen, nitrous nitrogen, total phosphorus concentration, etc.;
所述信号转换器与数据服务器相连,用于将输入的模拟信号转换为数字信号,传输入数据服务器; The signal converter is connected to the data server, and is used to convert the input analog signal into a digital signal and transmit it to the data server;
所述数据服务器通过数据线与无线传输模块相连,用于将输入参数与历史数据比较,将比较结果通过无线传输模块发送到用户无线终端。 The data server is connected to the wireless transmission module through a data line, and is used for comparing the input parameters with the historical data, and sending the comparison result to the wireless terminal of the user through the wireless transmission module.
本实用新型的有益效果在于: The beneficial effects of the utility model are:
①分步检测水体中溶解氧、温度、pH、氨氮、亚硝氮、总磷等离子浓度,数据进入数据服务器,数据服务器通过精确记录水质传感器和多参数水质自动分析仪采样、检测所用时间差将两者检测的数据进行整合,获得某一采样时间点水体的全部因子参数; ① Detect dissolved oxygen, temperature, pH, ammonia nitrogen, nitrite nitrogen, total phosphorus and other plasma concentrations in the water step by step, and the data enters the data server, which accurately records the time difference between the sampling and detection of the water quality sensor and the multi-parameter water quality automatic Integrate the data detected by the former to obtain all the factor parameters of the water body at a certain sampling time point;
②服务器通过预装的比较算法将采集的数据与预设的罗非鱼养殖水体因子安全范围进行比对,将结果用无线传输至用户手机终端,及时指导养殖技术人员开展水体调控,极大地解放了养殖技术人员的大量体力、智力工作。 ②The server compares the collected data with the preset safe range of water body factors for tilapia farming through the pre-installed comparison algorithm, and wirelessly transmits the results to the user's mobile phone terminal, instructing the farming technicians to carry out water body regulation in a timely manner, greatly liberating A lot of physical and intellectual work of breeding technicians.
附图说明 Description of drawings
图 1 为本实用新型示意图。 Figure 1 is a schematic diagram of the utility model. the
具体实施方式 Detailed ways
下面结合具体附图和实施例对本实用新型作进一步说明。 Below in conjunction with specific accompanying drawing and embodiment the utility model is further described. the
如图1所示,一种罗非鱼养殖水质实时监测预警集成装置,包括采样泵1,输水管2,检测槽3,水质传感器4,多参数水质自动分析仪5,信号转换器6,数据服务器7,无线传输模块8。 As shown in Figure 1, a tilapia culture water quality real-time monitoring and early warning integrated device, including sampling pump 1, water delivery pipe 2, detection tank 3, water quality sensor 4, multi-parameter water quality automatic analyzer 5, signal converter 6, data Server 7, wireless transmission module 8. the
采样泵1安装于池塘内,一端连接输水管2; The sampling pump 1 is installed in the pond, and one end is connected to the water delivery pipe 2;
输水管2一端连接采样泵1,一端连接到检测槽3; One end of the water delivery pipe 2 is connected to the sampling pump 1, and the other end is connected to the detection tank 3;
水质传感器4安装于检测槽3内,通过连接线与信号转换器6相连; The water quality sensor 4 is installed in the detection tank 3, and is connected to the signal converter 6 through a connecting line;
多参数水质自动分析仪5采样管安装于检测槽3内,通过数据线与信号转换器6相连; The multi-parameter water quality automatic analyzer 5 sampling pipes are installed in the detection tank 3 and connected to the signal converter 6 through data lines;
信号转换器6与数据服务器7相连; Signal converter 6 is connected with data server 7;
数据服务器7通过数据线与无线传输模块8相连。 The data server 7 is connected with the wireless transmission module 8 through a data line.
一轮采样监测开始时,采样泵1通过输水管2将池塘水样抽入检测槽3内,通过设置在槽内的水质传感器4检测,获得的溶解氧、pH、温度等数据传输给信号转换器6,将其转换为数字信号录入数据服务器7,同时多参数水质自动分析仪5吸取采样桶内的水样检测,检测后的氨氮、亚硝氮、总磷浓度数据通过信号转换器6转换为数字信号录入数据服务器7,数据服务器7通过记录水质传感器4和多参数水质自动分析仪5采样、检测所用时间将两者检测的数据进行整合,获得采样池塘水体因子的真实情况,数据服务器7通过预装的比较算法将采集的数据与已设定的罗非鱼养殖水质安全范围进行比对, 比对结果用无线传输模块8发送至负责人手机终端,指导人员开展水体调控操作。 At the beginning of a round of sampling monitoring, the sampling pump 1 draws the pond water sample into the detection tank 3 through the water delivery pipe 2, and detects it through the water quality sensor 4 installed in the tank, and transmits the obtained dissolved oxygen, pH, temperature and other data to the signal converter. device 6, convert it into a digital signal and enter it into the data server 7, and at the same time, the multi-parameter water quality automatic analyzer 5 draws the water sample in the sampling bucket for detection, and the detected ammonia nitrogen, nitrous nitrogen, and total phosphorus concentration data are converted by the signal converter 6 Input data server 7 for digital signal, data server 7 is by recording water quality sensor 4 and multi-parameter water quality automatic analyzer 5 sampling, the time used for detection integrates the data detected by the two, obtains the real situation of sampling pond water factor, data server 7 Through the pre-installed comparison algorithm, the collected data is compared with the set water quality safety range for tilapia aquaculture, and the comparison result is sent to the mobile phone terminal of the person in charge with the wireless transmission module 8 to guide the personnel to carry out water regulation operations. the
为保证数据服务器7预测下一轮采样前的水质变化情况的准确性,首先进行一定规模的罗非鱼水质因子跟踪采集,通过模型筛选、拟合不同养殖密度、水文气候、投喂量等因素下的养殖水质变化参数,保证预测模型的精确度高于90%。 In order to ensure the accuracy of the data server 7 in predicting the changes in water quality before the next round of sampling, a certain scale of tilapia water quality factors is first tracked and collected, and the model is screened to fit factors such as different breeding densities, hydrology and climate, and feeding amount. The following aquaculture water quality change parameters ensure that the accuracy of the prediction model is higher than 90%. the
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| CN104186392A (en) * | 2014-09-15 | 2014-12-10 | 中国水产科学研究院黄海水产研究所 | Efficient engineering pond farming method for paralichthys olivaceus |
| CN105137014A (en) * | 2014-12-10 | 2015-12-09 | 中国科学院城市环境研究所 | Portable water-quality biological pollution detector |
| CN106053781A (en) * | 2016-05-23 | 2016-10-26 | 山东师范大学 | System and method for realizing on-line monitoring environment by utilizing aquatic organism metabolism |
| CN108445175A (en) * | 2018-03-27 | 2018-08-24 | 华南理工大学 | A kind of the real-time diagnosis equipment and its inline diagnosis method of breeding water body |
| CN109507382A (en) * | 2018-12-27 | 2019-03-22 | 浙江嘉科信息科技有限公司 | ECOLOGICAL ENVIRONMENTAL MONITORING early warning system and monitoring and pre-alarming method |
| CN110122379A (en) * | 2019-05-15 | 2019-08-16 | 广西壮族自治区水产科学研究院 | Device and method for high-yield culture of tilapia |
| CN112243929A (en) * | 2020-10-20 | 2021-01-22 | 海南聚能科技创新研究院有限公司 | Automated tilapia breeding comprehensive management system |
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| CN114184755A (en) * | 2021-12-03 | 2022-03-15 | 盐城工学院 | A system and method for automatic monitoring of aquaculture water and prevention of water eutrophication |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104186392A (en) * | 2014-09-15 | 2014-12-10 | 中国水产科学研究院黄海水产研究所 | Efficient engineering pond farming method for paralichthys olivaceus |
| CN104186392B (en) * | 2014-09-15 | 2016-06-08 | 中国水产科学研究院黄海水产研究所 | A kind of Paralichthys olivaceus through engineering approaches pond high-efficiency breeding method |
| CN105137014A (en) * | 2014-12-10 | 2015-12-09 | 中国科学院城市环境研究所 | Portable water-quality biological pollution detector |
| CN105137014B (en) * | 2014-12-10 | 2017-08-29 | 中国科学院城市环境研究所 | A kind of portable water quality biological pollution detector |
| CN106053781A (en) * | 2016-05-23 | 2016-10-26 | 山东师范大学 | System and method for realizing on-line monitoring environment by utilizing aquatic organism metabolism |
| CN106053781B (en) * | 2016-05-23 | 2018-04-03 | 山东师范大学 | System and method for realizing online environment monitoring by using aquatic organism metabolism |
| CN108445175A (en) * | 2018-03-27 | 2018-08-24 | 华南理工大学 | A kind of the real-time diagnosis equipment and its inline diagnosis method of breeding water body |
| CN109507382A (en) * | 2018-12-27 | 2019-03-22 | 浙江嘉科信息科技有限公司 | ECOLOGICAL ENVIRONMENTAL MONITORING early warning system and monitoring and pre-alarming method |
| CN110122379A (en) * | 2019-05-15 | 2019-08-16 | 广西壮族自治区水产科学研究院 | Device and method for high-yield culture of tilapia |
| CN112243929A (en) * | 2020-10-20 | 2021-01-22 | 海南聚能科技创新研究院有限公司 | Automated tilapia breeding comprehensive management system |
| CN113267606A (en) * | 2021-04-24 | 2021-08-17 | 朱贵根 | River is with intelligent water environment detection maintenance device |
| CN113267606B (en) * | 2021-04-24 | 2022-06-21 | 大湾区检测(深圳)有限公司 | River is with intelligent water environment detection maintenance device |
| CN114485771A (en) * | 2021-11-24 | 2022-05-13 | 吴崴 | Pond water environment online prediction system |
| CN114184755A (en) * | 2021-12-03 | 2022-03-15 | 盐城工学院 | A system and method for automatic monitoring of aquaculture water and prevention of water eutrophication |
| CN114184755B (en) * | 2021-12-03 | 2023-10-13 | 盐城工学院 | An automatic monitoring system and method for aquaculture water body and water eutrophication prevention |
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