CN115453659A - Aquaculture synthesizes meteorological monitoring system - Google Patents
Aquaculture synthesizes meteorological monitoring system Download PDFInfo
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- CN115453659A CN115453659A CN202211067196.7A CN202211067196A CN115453659A CN 115453659 A CN115453659 A CN 115453659A CN 202211067196 A CN202211067196 A CN 202211067196A CN 115453659 A CN115453659 A CN 115453659A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
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Abstract
The invention discloses an aquaculture comprehensive meteorological monitoring system, and belongs to the technical field of aquaculture monitoring. The hardware end of the aquaculture comprehensive meteorological monitoring system comprises four terminal parts, namely a comprehensive monitoring site, a management host, a user terminal and a control terminal which are networked; the comprehensive monitoring station, the control terminal and the user terminal correspond to each other and are numbered according to users; the management host carries out unified management on the system; the comprehensive monitoring station carries a sensing module to collect water quality data and meteorological data, the collected data carries a number and is uploaded to a network, and the management host distributes the number to the corresponding user terminal for a user to browse and use.
Description
Technical Field
The invention discloses an aquaculture comprehensive meteorological monitoring system, and belongs to the technical field of aquaculture monitoring.
Background
Traditional aquaculture relies on farmer experience and good weather conditions, and extensive aquaculture methods are low in yield and poor in risk resistance. Due to lack of scientific management, farmers are difficult to realize high yields. If sudden weather changes or short-term and small-range weather changes lack timely treatment measures, serious accidents are caused, and especially great loss is easily caused in more common emergency situations such as anoxic pond flooding and the like.
In the prior art, besides expensive water quality monitoring equipment is adopted in high-end aquaculture and a large amount of equipment maintenance work is required, such equipment meeting practical application is rarely adopted in conventional aquaculture. A major problem is the risk of sensor failure, such as long term water soak leading to data drift. Farmers are generally insensitive to slowly changing data errors and have difficulty in exploiting the advantages of such techniques even without significant loss.
In addition, the prior art adopts an index monitoring and field control system, although the system is simple to use, the expansibility is poor, the reliability is poor, the frequent field operation of users is relied on, frequent inspection is required to avoid faults, data cannot be effectively retained to carry out deeper analysis and application, and data risk and cooperation among different users are carried out.
In summary, it is still necessary to develop a convenient and reliable systematic platform to realize effective aquaculture information management.
Disclosure of Invention
In order to solve the technical problems, the invention discloses an aquaculture comprehensive meteorological monitoring system which can provide more reliable monitoring information and expand application while keeping low hardware cost.
The adopted technical scheme is as follows:
an aquaculture comprehensive meteorological monitoring system is used for collecting environmental index data and is characterized by comprising four terminal parts, namely a comprehensive monitoring site, a management host, a user terminal and a control terminal; each terminal is networked to form transmission of data and control instructions; the comprehensive monitoring station, the control terminal and the user terminal correspond to each other and are numbered according to users; the management host carries out unified management on the system; the comprehensive monitoring station is provided with a sensing module for acquiring water quality data and meteorological data, and is also provided with a networking module for uploading acquired data carrying numbers to a network; and the management host distributes the data to the corresponding user terminal according to the serial number for the user to browse and use.
Furthermore, a user inputs a control instruction for remotely controlling the control terminal through the user terminal, the remote control instruction is sent to the corresponding control terminal, and the control terminal executes the control of the breeding equipment.
Furthermore, the water quality data comprises the dissolved oxygen rate and the water temperature in the aquaculture water body; the meteorological data comprise air temperature, humidity, illumination and wind power in the breeding meteorological environment.
Furthermore, the comprehensive monitoring station adopts a foam board as a carrier to install each component module so that the comprehensive monitoring station can float on the water surface; and arranging a cable connected with an anchor below the foam plate for traction so that the comprehensive monitoring station stays at a relatively fixed position.
Furthermore, a tension sensor is arranged at the joint of the foam board and the cable, wind acts on the comprehensive monitoring station to enable the comprehensive monitoring station to flutter, and tension data collected by the tension sensor corresponds to the wind power.
Furthermore, in the comprehensive monitoring station, a photovoltaic module is arranged on the foam board for supplying power; and collecting the power supply electric quantity of the photovoltaic module corresponding to the illumination intensity.
Furthermore, the water quality data acquired by the comprehensive monitoring station is acquired by a sensing probe; and at least 2 sensing probes for dissolved oxygen are arranged in one integrated monitoring station to obtain more than 2 dissolved oxygen rate data.
Furthermore, the system adopts a machine learning method to predict key water body index data and provides the key water body index data for a user; selecting the dissolved oxygen rate as key water body index data for prediction, and specifically comprising the following steps:
step 1: acquiring water quality data including dissolved oxygen rate and water temperature in the aquaculture water by adopting a system; acquiring meteorological data including temperature, humidity, illumination and wind power in a meteorological environment;
step 2: taking the dissolved oxygen rate obtained in the step 1 as result data of training data, taking other data except the dissolved oxygen rate as characteristic data, and performing model training by adopting machine learning to obtain a data model;
and step 3: and adopting a system to continue data acquisition, taking other data except the dissolved oxygen rate as input data, and calculating and outputting the prediction result of the dissolved oxygen rate through a model.
Further, a safety threshold is set for the dissolved oxygen rate, and when the prediction result of the dissolved oxygen rate is lower than the safety threshold, it is determined that the risk of the dissolved oxygen rate is reduced, and an alarm message is sent to a user.
Further, setting a difference threshold value for the prediction result of the dissolved oxygen rate and actual data; and comparing the prediction result of the dissolved oxygen rate with the actual data, judging that the sensing probe for collecting the dissolved oxygen rate has failure risk when the difference value is greater than the difference threshold value, and sending alarm information to a user.
The invention has the following beneficial effects:
(1) The system provides various key indexes to facilitate the user to comprehensively judge the influence on the aquaculture water body, so that the instability of singly monitored water body data or possible false alarm of sensing nodes is avoided, and the system is more reliable in application;
(2) The system has the advantages that the data are managed in a networking mode and controlled remotely, the data storage and utilization efficiency is improved, remote and accurate management is facilitated, visual and convenient control operation is realized, and the cost of electricity, manpower and the like can be saved to the maximum extent under the condition of guaranteeing good culture conditions;
(3) The system supplies power independently and performs wireless networking on data, the power grid is separated, the wiring cost is reduced, the monitoring station can run singly or a plurality of nodes are networked, a master control system is not needed on site, the system structure is more suitable for different types and scales of harsh environments such as a large pond and a soil pond, and the hardware cost is reduced;
(4) The mobile terminals such as smart phones and the like which can be networked can be used as user terminals, so that the functions of real-time monitoring and remote control are convenient, and the management is accurate;
(5) Data are reserved, accumulation bases are mined for future big data analysis, and an intelligent, systematized and intensive aquaculture solution is formed through continuous aquaculture case accumulation, so that high-autonomy aquaculture informatization management is realized.
Drawings
FIG. 1 is a schematic diagram of an integrated meteorological monitoring system for aquaculture in accordance with the present invention;
FIG. 2 is a schematic structural diagram of an integrated monitoring site of the present invention;
FIG. 3 is a block diagram of the system monitoring data analysis of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
as shown in the attached figure 1, each hardware of the aquaculture integrated meteorological monitoring system comprises four terminal parts, namely an integrated monitoring site, a management host, a user terminal and a control terminal; each terminal is networked to form data and control instruction transmission; and building a database at the cloud end, and performing networking relay and distributed storage on the data obtained by the system.
The management host manages the whole system uniformly. The comprehensive monitoring station, the control terminal and the user terminal correspond to each other, and numbering is carried out in the system according to users so as to distinguish the comprehensive monitoring station and the control terminal, so that the use requirements of multiple users are met.
The comprehensive monitoring station carries a sensing module to acquire water quality data including dissolved oxygen rate and water temperature in the aquaculture water body and meteorological data including temperature, humidity, illumination and wind power in the aquaculture meteorological environment.
As shown in the attached figure 2, the integrated monitoring station adopts a foam board (2) as a carrier to install each component module so that the integrated monitoring station can float on the water surface, and modules (3) such as circuit boards and the like are installed in the foam board (2) to effectively prevent water; a cable (4) connected with an anchor (5) is arranged below the foam board (2) for traction so as to stay at a relatively fixed position; a tension sensor (7) is arranged at the joint of the foam board (2) and the cable (4), the comprehensive monitoring station is blown by wind to enable the comprehensive monitoring station to flutter, tension data are collected by the tension sensor (7), a relation curve is obtained by comparing wind power measured values on site, and the tension data can be used for corresponding to the size of wind power.
The photovoltaic module (1) is installed on the upper surface of the foam board (2) in a plane mode to supply power for the comprehensive monitoring station, and the power supply quantity of the photovoltaic module (1) is counted in unit time period so as to correspond to the intensity of solar illumination.
The water quality data of the comprehensive monitoring station is collected by a sensing probe (6); the sensing probe (6) is hung on the mooring rope (4), and different depths can be adjusted according to requirements; at least 2 dissolved oxygen sensing probes are arranged in one comprehensive monitoring station to obtain more than 2 dissolved oxygen rate data, and whether the probes have failure risks or not can be judged by comparing the data of different probes.
The comprehensive monitoring station is also provided with a GPRS networking module and uploads the data carrying numbers to the network. And the management host distributes the data to the corresponding user terminal according to the serial number for the user to browse and use.
The user judges the culture environment condition according to the data, inputs a control instruction through the user terminal, and the control terminal receives the control instruction through the networking switch and executes equipment control, such as starting an oxygen generator and the like.
Further, the system adopts a machine learning method to predict and provide key water body index data for users.
As shown in the attached figure 3, the oxygen dissolution rate is predicted by the following specific steps:
step 1: acquiring water quality data including dissolved oxygen rate and water temperature in the aquaculture water by adopting a system; acquiring meteorological data including temperature, humidity, illumination and wind power in a meteorological environment;
step 2: training by adopting machine learning to obtain a data model by taking the obtained dissolved oxygen rate as result data of training data and taking other data except the dissolved oxygen rate as characteristic data;
and step 3: and (3) adopting the system to continue data acquisition, taking other data except the dissolved oxygen rate as input data, and calculating and outputting the prediction result of the dissolved oxygen rate through a model.
The system sets a safety threshold value for the dissolved oxygen rate, judges that the risk of the dissolved oxygen rate is reduced when the prediction result of the dissolved oxygen rate is lower than the safety threshold value, and sends alarm information to the user.
The system sets a difference threshold value for the prediction result of the dissolved oxygen rate and the actual data; and comparing the prediction result of the dissolved oxygen rate with the actual data, judging that the sensing probe for collecting the dissolved oxygen rate has failure risk when the difference value of the prediction result and the actual data is greater than the difference threshold value, and sending alarm information to a user by the system.
It should be noted that: the above description is only a preferred embodiment of the present invention, and those skilled in the art should also be able to make equivalents and modifications to the technical solution and its inventive concept within the scope of the present invention.
Claims (10)
1. An aquaculture comprehensive meteorological monitoring system is used for collecting environmental index data and is characterized by comprising a comprehensive monitoring site, a management host, a user terminal and a control terminal; each terminal is networked to form data and control instruction transmission;
the comprehensive monitoring station, the control terminal and the user terminal correspond to each other and are numbered according to users; the management host carries out unified management on the system;
the comprehensive monitoring station is provided with a sensing module for acquiring water quality data and meteorological data, and is also provided with a networking module for uploading the acquired data to a network with the serial number;
and the management host distributes the data to the corresponding user terminal according to the serial number for the user to browse and use.
2. The aquaculture integrated weather monitoring system of claim 1, wherein a user inputs a control command for remotely controlling the control terminal through the user terminal, the remote control command is sent to the corresponding control terminal, and the control terminal executes the operation of the aquaculture equipment.
3. An aquaculture integrated meteorological monitoring system according to claim 1 or claim 2, wherein the water quality data comprises dissolved oxygen rate, water temperature in the aquaculture water;
the meteorological data comprise air temperature, humidity, illumination and wind power in the cultivation meteorological environment.
4. The integrated aquaculture weather monitoring system of claim 3 wherein said integrated monitoring site is made floatable on water by mounting said assembly modules using foam panels as carriers; and a cable connected with an anchor is arranged below the foam board for traction so that the comprehensive monitoring station stays at a relatively fixed position.
5. The aquaculture integrated meteorological monitoring system of claim 4 wherein a tension sensor is provided at a junction of the foam board and the cable, wind acts on the integrated monitoring station to cause the integrated monitoring station to flutter, and tension data collected by the tension sensor corresponds to the magnitude of the wind force.
6. The aquaculture integrated meteorological monitoring system of claim 4, wherein said integrated monitoring station is powered by a photovoltaic module disposed on said foam boards;
and collecting the power supply electric quantity of the photovoltaic module corresponding to the illumination intensity.
7. The aquaculture integrated meteorological monitoring system of claim 4, wherein the integrated monitoring site, the water quality data collected is collected by a sensing probe;
and at least 2 sensing probes for dissolved oxygen are arranged in one integrated monitoring station to obtain more than 2 dissolved oxygen rate data.
8. The integrated weather monitoring system for aquaculture of claim 1 wherein the system employs machine learning to predict and provide critical water body indicator data to the user;
selecting the dissolved oxygen rate as key water body index data for prediction, and specifically comprising the following steps:
step 1: acquiring water quality data including dissolved oxygen rate and water temperature in the aquaculture water body by adopting a system; acquiring meteorological data including temperature, humidity, illumination and wind power in a meteorological environment;
and 2, step: taking the dissolved oxygen rate obtained in the step 1 as result data of training data, taking other data except the dissolved oxygen rate as characteristic data, and performing model training by adopting machine learning to obtain a data model;
and 3, step 3: and adopting a system to continue data acquisition, taking other data except the dissolved oxygen rate as input data, and calculating and outputting the prediction result of the dissolved oxygen rate through a model.
9. The integrated meteorological monitoring system for aquaculture according to claim 8, wherein a safety threshold is set for the dissolved oxygen rate, and when the prediction result of the dissolved oxygen rate is lower than the safety threshold, it is determined that there is a risk of reduction in the dissolved oxygen rate and a warning message is sent to a user.
10. The aquaculture integrated meteorological monitoring system of claim 8, wherein a difference threshold is set for the predicted result of the dissolved oxygen rate and the actual data;
and comparing the prediction result of the dissolved oxygen rate with the actual data, judging that the sensing probe for collecting the dissolved oxygen rate has failure risk when the difference value of the prediction result of the dissolved oxygen rate and the actual data is greater than the difference threshold value, and sending alarm information to a user.
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| CN202211067196.7A CN115453659A (en) | 2022-09-01 | 2022-09-01 | Aquaculture synthesizes meteorological monitoring system |
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| CN202211067196.7A CN115453659A (en) | 2022-09-01 | 2022-09-01 | Aquaculture synthesizes meteorological monitoring system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860279A (en) * | 2023-02-27 | 2023-03-28 | 广东省气象服务中心(广东气象影视宣传中心) | Weather risk prediction method for Penaeus vannamei Boone breeding and seedling throwing operation window period |
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2022
- 2022-09-01 CN CN202211067196.7A patent/CN115453659A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860279A (en) * | 2023-02-27 | 2023-03-28 | 广东省气象服务中心(广东气象影视宣传中心) | Weather risk prediction method for Penaeus vannamei Boone breeding and seedling throwing operation window period |
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