CN115049281A - Penaeus vannamei boone breeding regulation and control method and system based on meteorological change - Google Patents

Penaeus vannamei boone breeding regulation and control method and system based on meteorological change Download PDF

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CN115049281A
CN115049281A CN202210711184.7A CN202210711184A CN115049281A CN 115049281 A CN115049281 A CN 115049281A CN 202210711184 A CN202210711184 A CN 202210711184A CN 115049281 A CN115049281 A CN 115049281A
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靳祖雷
姜松
周德勇
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Guangzhou Zhihe Biotechnology Co ltd
South China Sea Fisheries Research Institute Chinese Academy Fishery Sciences
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South China Sea Fisheries Research Institute Chinese Academy Fishery Sciences
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Abstract

The invention discloses a method and a system for controlling the culture of penaeus vannamei boone based on meteorological change. In addition, the method can analyze the severe weather prediction information through weather change, and improve the culture condition of the penaeus vannamei boone in advance according to the prediction information, so that the penaeus vannamei boone can be listed in advance before the severe weather comes, and the economic loss of the reduction of the yield of the penaeus vannamei boone caused by the severe weather is reduced.

Description

Penaeus vannamei boone culture regulation and control method and system based on meteorological change
Technical Field
The invention relates to the field of aquaculture, in particular to a method and a system for controlling the culture of penaeus vannamei based on meteorological change.
Background
The white penaeus vannamei is originally produced on the pacific coast of south America and in the gulf of Mexico, so that the yield of the white penaeus vannamei is the highest, and the white penaeus vannamei is the same as three excellent penaeus vannamei and penaeus monodon which are bred in the world with the highest yield. The shrimp meat is delicious, the shrimp supply is sufficient, the shrimp is suitable for transporting and selling live shrimps, the shrimp is easy to culture, and the shrimp is suitable for seawater and low salinity seawater culture, even pure fresh water culture. The penaeus vannamei boone has the advantages of quick growth, high density resistance, strong environmental change resistance, strong virus disease resistance, lower requirements for food impurities and feed protein than other penaeus vannamei boone, long water leaving survival time, high culture yield, large meat content (high meat yield) of the penaeus vannamei boone body and the like, and is one of the most main penaeus vannamei boone culture varieties in China at present.
However, in actual cultivation, the penaeus vannamei boone is often influenced by the environment to cause large yield fluctuation, and in severe weather, the penaeus vannamei boone is often reduced in yield in a large area, which causes unpredictable loss to cultivators, so that a method capable of performing cultivation regulation and control on meteorological changes is urgently needed to improve the cultivation success rate and cultivation yield of the penaeus vannamei boone.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a method, a system and a readable storage medium for controlling the breeding of the penaeus vannamei boone based on meteorological change.
The invention provides a method for regulating and controlling the culture of penaeus vannamei boone based on meteorological change, which comprises the following steps:
acquiring historical meteorological data within preset time;
obtaining predicted meteorological data according to historical meteorological data;
acquiring culture environment data, and analyzing by combining with predicted meteorological data to obtain culture environment correction information;
and sending the breeding environment correction information to a preset display device and carrying out breeding regulation and control according to the breeding environment correction information.
In this scheme, the obtaining of the predicted weather data according to the historical weather data specifically includes:
acquiring daily weather information of temperature, air pressure, rainfall, wind direction and wind speed of a culture place within preset time;
calculating and analyzing the meteorological information to obtain a data change index of each meteorological information;
according to the data change index of each meteorological information, combining the current meteorological information to obtain the prediction data of each meteorological information;
and performing data arrangement on the prediction data of each meteorological information to obtain prediction meteorological data.
In this scheme, the acquisition of aquaculture environment data, the combination of predicting meteorological data analysis obtains aquaculture environment correction information, includes:
constructing a shrimp pond culture database, and judging whether the area of the shrimp pond culture is larger than the preset area of the shrimp pond;
if the area of the shrimp pool for cultivation is larger than the preset area of the shrimp pool, dividing the shrimp pool into N different shrimp pool sub-areas, wherein the areas of the shrimp pool sub-areas are smaller than the preset area of the shrimp pool;
numbering the shrimp pool sub-areas and acquiring the culture environment data of each shrimp pool sub-area;
and importing the culture environment data of the sub-area into a culture shrimp pond environment database according to the serial number sequence.
In this scheme, obtain aquaculture environment data, combine prediction meteorological data analysis to obtain aquaculture environment correction information, still include:
acquiring temperature information prediction data in the prediction meteorological data, and analyzing to obtain water temperature prediction data by combining with current aquaculture water temperature information;
obtaining the dissolved oxygen information of the current shrimp pond, and analyzing by combining with the forecast meteorological data to obtain the forecast data of the dissolved oxygen;
and calculating and analyzing according to the water temperature prediction data and the dissolved oxygen prediction data to obtain an algae reproduction prediction index and a bacteria reproduction prediction index.
In this scheme, obtain aquaculture environment data, combine prediction meteorological data analysis to obtain aquaculture environment correction information, still include:
judging whether the algae reproduction prediction index and the bacteria reproduction prediction index are larger than a preset index threshold value or not;
if the index is larger than a preset index threshold value, acquiring color image information of the shrimp culture pond and extracting a color characteristic value in the image information;
and (4) acquiring dissolved oxygen prediction data, and combining the color characteristic value, the algae reproduction prediction index and the bacteria reproduction prediction index to obtain the microorganism inhibition scheme information.
In this scheme, obtain aquaculture environment data, combine prediction meteorological data analysis to obtain aquaculture environment correction information, still include:
performing data analysis on the predicted meteorological data to obtain prediction information of severe weather;
obtaining growth state information of the penaeus vannamei boone in the shrimp pond, and performing data analysis on the growth state information to obtain a to-be-listed index of the penaeus vannamei boone;
analyzing and obtaining breeding feed correction information and breeding shrimp pond correction information according to the to-market index of the penaeus vannamei and the severe weather prediction information;
and performing data arrangement on the breeding feed correction information and the breeding shrimp pond correction information to obtain breeding environment correction information.
The second aspect of the invention also provides a litopenaeus vannamei culture regulation and control system based on meteorological change, which comprises: the litopenaeus vannamei cultivation regulation and control method based on meteorological change comprises a memory and a processor, wherein the litopenaeus vannamei cultivation regulation and control method based on meteorological change comprises the following steps when the litopenaeus vannamei cultivation regulation and control method based on meteorological change is executed by the processor:
acquiring historical meteorological data within preset time;
obtaining predicted meteorological data according to the historical meteorological data;
acquiring culture environment data, and analyzing by combining with predicted meteorological data to obtain culture environment correction information;
and sending the breeding environment correction information to a preset display device and carrying out breeding regulation and control according to the breeding environment correction information.
In this scheme, the obtaining of the predicted meteorological data according to the historical meteorological data specifically includes:
acquiring daily weather information of temperature, air pressure, rainfall, wind direction and wind speed of a culture place within preset time;
calculating and analyzing the meteorological information to obtain a data change index of each meteorological information;
according to the data change index of each meteorological information, combining the current meteorological information to obtain the prediction data of each meteorological information;
and performing data arrangement on the prediction data of the meteorological information to obtain prediction meteorological data.
In this scheme, the acquisition of aquaculture environment data, the combination of predicting meteorological data analysis obtains aquaculture environment correction information, includes:
constructing a cultured shrimp pond database, and judging whether the area of the cultured shrimp pond is larger than the area of a preset shrimp pond;
if the area of the shrimp pool for cultivation is larger than the preset area of the shrimp pool, dividing the shrimp pool into N different shrimp pool sub-areas, wherein the area of the shrimp pool sub-area is smaller than the preset area of the shrimp pool;
numbering the shrimp pool sub-areas and acquiring the culture environment data of each shrimp pool sub-area;
and importing the culture environment data of the subareas into a culture shrimp pond database according to the serial number sequence.
In this scheme, obtain aquaculture environment data, combine prediction meteorological data analysis to obtain aquaculture environment correction information, still include:
carrying out data analysis on the predicted meteorological data to obtain severe weather prediction information;
obtaining growth state information of the penaeus vannamei boone in the shrimp pond, and performing data analysis on the growth state information to obtain a to-be-listed index of the penaeus vannamei boone;
analyzing and obtaining breeding feed correction information and breeding shrimp pond correction information according to the to-market index of the penaeus vannamei and the severe weather prediction information;
and performing data arrangement on the breeding feed correction information and the breeding shrimp pond correction information to obtain breeding environment correction information.
The invention discloses a method and a system for controlling the breeding of penaeus vannamei based on meteorological change. In addition, the method can analyze the severe weather prediction information through weather change, and improve the culture condition of the penaeus vannamei boone in advance according to the prediction information, so that the penaeus vannamei boone can be listed in advance before the severe weather comes, and the economic loss of the reduction of the yield of the penaeus vannamei boone caused by the severe weather is reduced.
Drawings
FIG. 1 shows a flow chart of a method for controlling the culture of Penaeus vannamei Boone based on meteorological changes according to the present invention;
FIG. 2 illustrates a predictive weather data acquisition flow diagram of the present invention;
FIG. 3 shows a cultivation environment modification information acquisition flowchart of the present invention;
FIG. 4 shows a block diagram of a Penaeus vannamei Boone cultivation regulation and control system based on meteorological change.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a litopenaeus vannamei breeding regulation and control method based on meteorological change.
As shown in fig. 1, a first aspect of the present invention provides a method for controlling breeding of penaeus vannamei based on meteorological changes, comprising:
s102, acquiring historical meteorological data within preset time;
s104, obtaining predicted meteorological data according to historical meteorological data;
s106, acquiring cultivation environment data, and analyzing by combining with the forecast meteorological data to obtain cultivation environment correction information;
and S108, sending the breeding environment correction information to preset display equipment and carrying out breeding regulation and control according to the breeding environment correction information.
It should be noted that, in the historical meteorological data obtained within the preset time, the preset time is generally three months, and the future meteorological change trend can be effectively analyzed according to the historical meteorological data of nearly three months.
FIG. 2 illustrates a predictive weather data acquisition flow diagram of the present invention.
According to the embodiment of the invention, the obtaining of the predicted meteorological data according to the historical meteorological data specifically comprises:
s202, acquiring daily air temperature, air pressure, rainfall, wind direction and wind speed meteorological information of a culture place within preset time;
s204, calculating and analyzing the meteorological information to obtain a data change index of each meteorological information;
s206, obtaining prediction data of each meteorological information by combining the current meteorological information according to the data change index of each meteorological information;
and S208, performing data arrangement on the prediction data of the meteorological information to obtain prediction meteorological data.
The weather information includes, but is not limited to, air temperature, air pressure, rainfall, wind direction, wind speed, and the like, and the air temperature, air pressure, rainfall, wind direction, wind speed weather information are main weather factors affecting the environment of the shrimp farm. The prediction data of each meteorological information is meteorological data predicted within 30 days in the future.
According to the embodiment of the invention, the obtaining of the cultivation environment data and the analysis of the forecast meteorological data to obtain the cultivation environment correction information comprise:
constructing a cultured shrimp pond database, and judging whether the area of the cultured shrimp pond is larger than the area of a preset shrimp pond;
if the area of the shrimp pool for cultivation is larger than the preset area of the shrimp pool, dividing the shrimp pool into N different shrimp pool sub-areas, wherein the areas of the shrimp pool sub-areas are smaller than the preset area of the shrimp pool;
numbering the shrimp pool sub-areas and acquiring the culture environment data of each shrimp pool sub-area;
and importing the culture environment data of the sub-area into a culture shrimp pond environment database according to the serial number sequence.
It should be noted that some shrimp ponds have large areas, the water depth and the dissolved oxygen in different areas of the same shrimp pond have large differences, different sub-areas need to be considered for obtaining when obtaining the cultivation environment data, and the difference regulation and control need to be performed according to the different sub-areas when correcting and controlling the cultivation environment. The method comprises the steps of dividing the shrimp pool into N different shrimp pool sub-areas, wherein the dividing method is average segmentation dividing, the area of each shrimp pool sub-area after the dividing needs to meet the condition that the area is smaller than the preset shrimp pool area, and N needs to be as small as possible, so that the area of each shrimp pool sub-area is as large as possible, and the later area management is facilitated.
In addition, the culture environment data of the subareas are imported into the culture shrimp pond environment database according to the serial number sequence, so that the culture shrimp pond environment data can be conveniently acquired in the follow-up process. The environment data of the shrimp culture pond comprises the water temperature, the dissolved oxygen amount, the salinity value, the pH value and the like of the shrimp culture pond.
According to the embodiment of the invention, the acquiring of the cultivation environment data and the obtaining of the cultivation environment correction information by combining with the forecast meteorological data analysis further comprise:
acquiring temperature information prediction data in the predicted meteorological data, and analyzing to obtain water temperature prediction data by combining the current aquaculture water temperature information;
obtaining the dissolved oxygen information of the current shrimp pond, and analyzing by combining with the forecast meteorological data to obtain the forecast data of the dissolved oxygen;
and calculating and analyzing according to the water temperature prediction data and the dissolved oxygen prediction data to obtain an algae reproduction prediction index and a bacteria reproduction prediction index.
It should be noted that, in the weather information, the temperature information is a main factor affecting the water temperature of the shrimp culture pond, and the predicted change data of the water temperature can be accurately analyzed by obtaining the predicted data of the temperature information, so as to obtain the predicted data of the water temperature. In the culture shrimp pond, the water quality of the culture shrimp pond is deteriorated due to massive propagation of algae and massive propagation of bacteria, so that the growth of the white shrimps is hindered, and the yield of the white shrimps is seriously influenced. The dissolved oxygen and water temperature of the shrimp pond are the most main factors influencing the algae reproduction and the bacterial growth. According to the water temperature prediction data and the dissolved oxygen prediction data, the algae reproduction prediction index and the bacteria reproduction prediction index are obtained through calculation and analysis, and the algae reproduction prediction index and the bacteria reproduction prediction index are obtained through calculation and analysis, so that the algae reproduction and bacteria breeding conditions in the shrimp pond can be reflected more visually, the shrimp pond environment is regulated and controlled in advance through a manual intervention mode, and the algae reproduction and bacteria breeding are controlled.
According to the embodiment of the invention, the acquiring of the cultivation environment data and the obtaining of the cultivation environment correction information by combining with the forecast meteorological data analysis further comprise:
judging whether the algae reproduction prediction index and the bacteria reproduction prediction index are larger than a preset index threshold value or not;
if the index is larger than a preset index threshold value, acquiring color image information of the shrimp culture pond and extracting a color characteristic value in the image information;
and (4) acquiring dissolved oxygen prediction data, and combining the color characteristic value, the algae reproduction prediction index and the bacteria reproduction prediction index to obtain the microorganism inhibition scheme information.
The color image information of the shrimp culture pond is acquired through an optical camera module, and the judgment of whether the algae reproduction prediction index and the bacteria reproduction prediction index are larger than a preset index threshold value is performed, the judgment step is to respectively judge the two prediction indexes, wherein the indexes are larger than the preset index threshold value, and as long as any one of the prediction indexes is larger than the preset index threshold value, the color image information of the shrimp culture pond is acquired and the color characteristic value in the image information is extracted.
In addition, in the acquiring of the color image information of the shrimp pond and the extracting of the color characteristic value in the image information, the breeding status of algae and bacteria can be analyzed by acquiring the color image information of the shrimp pond, if the water body of the shrimp pond turns red, the breeding status is generally caused by the excessive breeding of dinoflagellates, and if the water body of the shrimp pond turns red and white, the breeding status of the algae and the bacteria is generally caused by the massive breeding, so after the color characteristic value in the image information is extracted, the breeding status of the algae and the bacteria can be more accurately analyzed. The information of the microorganism inhibition scheme comprises an algae reproduction processing scheme and a bacteria breeding processing scheme, wherein the algae reproduction processing scheme is to sprinkle live bacteria preparations such as 'Lishengyuan' (produced by Synbiotic Biotechnology Limited in Guangzhou City, the main components of which are bacillus subtilis and a plurality of super-hypoxia-resistant bacillus composite bacteria) with corresponding concentrations to the cultured shrimp ponds, and the bacteria breeding processing scheme is to sprinkle sterilization products such as 'high energy 500' (produced by Synbiotic Biotechnology Limited in Guangzhou City, the main components of which are strong oxidants such as potassium monopersulfate composite salt) with corresponding concentrations to the cultured shrimp ponds.
Fig. 3 shows a flowchart of a breeding environment modification information acquisition flowchart of the present invention.
According to the embodiment of the invention, the acquiring of the cultivation environment data and the obtaining of the cultivation environment correction information by combining with the forecast meteorological data analysis further comprise:
s302, performing data analysis on the predicted meteorological data to obtain prediction information of severe weather;
s304, obtaining growth state information of the penaeus vannamei boone in the shrimp pond, and carrying out data analysis on the growth state information to obtain a to-be-listed index of the penaeus vannamei boone;
s306, according to the to-be-listed index of the penaeus vannamei boone and the bad weather prediction information, the breeding feed correction information and the breeding shrimp pond correction information are obtained through analysis;
and S308, performing data arrangement on the breeding feed correction information and the breeding shrimp pond correction information to obtain breeding environment correction information.
It should be noted that the severe weather prediction information includes the number of days in which the severe weather prediction is imminent and the number of days in which the severe weather prediction is continued. The method comprises the steps of obtaining growth state information of the penaeus vannamei boone in a shrimp pond, and carrying out data analysis on the growth state information to obtain a to-market index of the penaeus vannamei boone, wherein the to-market index of the penaeus vannamei boone is specifically the number of days for predicting the penaeus vannamei boone to be bred on the market.
According to the embodiment of the invention, the breeding feed correction information and the breeding shrimp pond correction information are obtained by analyzing according to the to-market index of the penaeus vannamei and the prediction information of severe weather, and the method specifically comprises the following steps:
judging whether the predicted marketing culture days of the penaeus vannamei boone are more than the predicted near days of severe weather;
if the number of days is larger than the preset number of days, calculating the difference between the predicted marketing culture days of the penaeus vannamei boone and the predicted near days of severe weather to obtain a day difference;
if the difference value of the days is smaller than the preset difference value, calculating and analyzing the feeding correction frequency and the feeding correction feed amount of the aquaculture feed according to the difference value of the days;
and performing data arrangement on the breeding feed feeding correction frequency and the breeding correction feed amount to obtain breeding feed correction information.
It should be noted that the severe weather includes typhoon, rainstorm, snowstorm and the like, and the severe weather seriously affects the water environment of the shrimp culture pond, so that the water temperature, salinity, dissolved oxygen, pH value and the like of the water body suddenly change, so that the stress reaction of the prawns occurs, and unpredictable economic loss is caused to culturists. Therefore, the penaeus vannamei boone is listed in advance by predicting the number of days close to severe weather in advance, so that the economic loss caused by the severe weather can be reduced. And if the difference value of the number of days is smaller than the preset difference value, calculating and analyzing the feeding correction frequency and the feeding correction feed amount of the aquaculture feed according to the difference value of the number of days, and analyzing whether the currently cultured penaeus vannamei boone can be listed in advance in a mode of increasing the feeding amount or not through comparing the difference value of the number of days with the preset difference value. In the culture feed feeding correction frequency and the culture correction feed amount obtained through calculation and analysis, the feeding frequency is increased and the feed feeding amount is increased, so that the penaeus vannamei boone reaches the market standard before severe weather comes.
According to the embodiment of the invention, the obtaining of the corrected information of the shrimp pond further comprises:
performing data analysis on the predicted meteorological data to obtain typhoon and rainstorm weather prediction information;
obtaining the predicted change values of the water temperature, the salinity, the dissolved oxygen and the pH value of the shrimp culture pond according to the typhoon and rainstorm weather prediction information;
and analyzing to obtain a breeding environment early warning scheme according to the predicted change value.
The culture environment early warning scheme comprises early warning schemes for dealing with various environment changes of the culture shrimp pond, for example, in continuous heavy rain weather, dissolved oxygen in a water body is rapidly reduced, salinity is reduced, water temperature is accumulated and reduced, and the like, and at the moment, the culture environment can be regulated in advance according to predicted change values of the water temperature, the salinity, the dissolved oxygen and the pH value of the culture shrimp pond; analyzing the number of the oxygen increasing machines which need to be opened in each shrimp pond in the rainstorm weather according to the predicted change value of the dissolved oxygen amount, thereby carrying out manual arrangement in advance; according to the predicted change value of the pH value, slaked lime for adjusting the pH value of the water body is purchased in advance, and the pH value of the water body can be adjusted and controlled in time in rainstorm weather.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring historical severe weather time data and historical market price data of penaeus vannamei boone;
carrying out comprehensive data analysis according to the time data and the price data to obtain predicted price fluctuation indexes of different months in one year;
obtaining month information suitable for being listed according to the forecast price fluctuation indexes of different months in a year;
and obtaining a shrimp fry growth prediction period according to the month information suitable for being on the market, and carrying out the culture work of the penaeus vannamei boone according to the shrimp fry growth prediction period.
It should be noted that the historical severe weather time data includes the starting time and the duration of severe weather such as typhoon and rainstorm for nearly three years, and the historical market price data of the penaeus vannamei includes market price information of the penaeus vannamei for nearly three years. The suitable listed month information is a few months in a year, generally 5 to 8 months. The shrimp fry growth prediction period comprises the starting breeding time and the time of appearing on the market of the shrimp fries. Through comprehensive analysis of historical severe weather time data and historical market price data of the penaeus vannamei boone, the culture time of the penaeus vannamei boone in the future year can be reasonably planned, and scientific culture yield increase of the penaeus vannamei boone is realized.
FIG. 4 shows a block diagram of a Penaeus vannamei Boone cultivation regulation and control system based on meteorological change.
The second aspect of the present invention also provides a litopenaeus vannamei breeding regulation and control system 4 based on meteorological changes, which includes: the device comprises a memory 41 and a processor 42, wherein the memory comprises a litopenaeus vannamei breeding regulation and control method program based on meteorological change, and when the litopenaeus vannamei breeding regulation and control method program based on meteorological change is executed by the processor, the following steps are realized:
acquiring historical meteorological data within preset time;
obtaining predicted meteorological data according to historical meteorological data;
acquiring culture environment data, and analyzing by combining with predicted meteorological data to obtain culture environment correction information;
and sending the breeding environment correction information to a preset display device and carrying out breeding regulation and control according to the breeding environment correction information.
It should be noted that, in the acquiring of the historical meteorological data within the preset time, the preset time is generally three months, and the future meteorological change trend can be effectively analyzed according to the historical meteorological data of the last three months.
According to the embodiment of the invention, the obtaining of the predicted meteorological data according to the historical meteorological data specifically comprises:
acquiring daily weather information of temperature, air pressure, rainfall, wind direction and wind speed of a culture place within preset time;
calculating and analyzing the meteorological information to obtain a data change index of each meteorological information;
according to the data change index of each meteorological information, combining the current meteorological information to obtain the prediction data of each meteorological information;
and performing data arrangement on the prediction data of the meteorological information to obtain prediction meteorological data.
The weather information includes, but is not limited to, air temperature, air pressure, rainfall, wind direction, wind speed, and the like, and the air temperature, air pressure, rainfall, wind direction, wind speed weather information are main weather factors affecting the environment of the shrimp farm. The prediction data of each meteorological information is meteorological data predicted within 30 days in the future.
According to the embodiment of the invention, the obtaining of the cultivation environment data and the analysis of the forecast meteorological data to obtain the cultivation environment correction information comprise:
constructing a cultured shrimp pond database, and judging whether the area of the cultured shrimp pond is larger than the area of a preset shrimp pond;
if the area of the shrimp pool for cultivation is larger than the preset area of the shrimp pool, dividing the shrimp pool into N different shrimp pool sub-areas, wherein the areas of the shrimp pool sub-areas are smaller than the preset area of the shrimp pool;
numbering the shrimp pool sub-areas and acquiring the culture environment data of each shrimp pool sub-area;
and importing the culture environment data of the sub-area into a culture shrimp pond environment database according to the serial number sequence.
It should be noted that some shrimp ponds have large areas, the water depth and the dissolved oxygen in different areas of the same shrimp pond have large differences, different sub-areas need to be considered for obtaining when obtaining the cultivation environment data, and the difference regulation and control need to be performed according to the different sub-areas when correcting and controlling the cultivation environment. The method comprises the steps of dividing the shrimp pool into N different shrimp pool sub-areas, wherein the dividing method is average segmentation dividing, the area of each shrimp pool sub-area after the dividing needs to meet the condition that the area is smaller than the preset shrimp pool area, and N needs to be as small as possible, so that the area of each shrimp pool sub-area is as large as possible, and the later area management is facilitated.
In addition, the culture environment data of the subareas are imported into the culture shrimp pond environment database according to the serial number sequence, so that the culture shrimp pond environment data can be conveniently acquired in the follow-up process. The environment data of the shrimp culture pond comprises the water temperature, the dissolved oxygen amount, the salinity value, the pH value and the like of the shrimp culture pond.
According to the embodiment of the invention, the acquiring of the cultivation environment data and the obtaining of the cultivation environment correction information by combining with the forecast meteorological data analysis further comprise:
acquiring temperature information prediction data in the prediction meteorological data, and analyzing to obtain water temperature prediction data by combining with current aquaculture water temperature information;
obtaining the dissolved oxygen information of the current shrimp pond, and analyzing by combining with the forecast meteorological data to obtain the forecast data of the dissolved oxygen;
and calculating and analyzing according to the water temperature prediction data and the dissolved oxygen prediction data to obtain an algae reproduction prediction index and a bacteria reproduction prediction index.
It should be noted that, in the weather information, the temperature information is a main factor affecting the water temperature of the shrimp culture pond, and the predicted change data of the water temperature can be accurately analyzed by obtaining the predicted data of the temperature information, so as to obtain the predicted data of the water temperature. In the culture shrimp pond, the water quality of the culture shrimp pond is deteriorated due to massive propagation of algae and massive propagation of bacteria, so that the growth of the white shrimps is hindered, and the yield of the white shrimps is seriously influenced. The dissolved oxygen and water temperature of the shrimp pond are the most main factors influencing the algae reproduction and the bacterial growth. According to the water temperature prediction data and the dissolved oxygen prediction data, the algae reproduction prediction index and the bacteria reproduction prediction index are obtained through calculation and analysis, and the algae reproduction prediction index and the bacteria reproduction prediction index are obtained through calculation and analysis, so that the algae reproduction and bacteria breeding conditions in the shrimp pond can be reflected more visually, the shrimp pond environment is regulated and controlled in advance through a manual intervention mode, and the algae reproduction and bacteria breeding are controlled.
According to the embodiment of the invention, the acquiring of the cultivation environment data and the obtaining of the cultivation environment correction information by combining with the forecast meteorological data analysis further comprise:
judging whether the algae reproduction prediction index and the bacteria reproduction prediction index are larger than a preset index threshold value or not;
if the index is larger than a preset index threshold value, acquiring color image information of the shrimp culture pond and extracting a color characteristic value in the image information;
and (4) acquiring dissolved oxygen prediction data, and combining the color characteristic value, the algae reproduction prediction index and the bacteria reproduction prediction index to obtain the microorganism inhibition scheme information.
The method for obtaining the color image information of the shrimp culture pond includes the steps of obtaining the color image information of the shrimp culture pond through an optical camera module, judging whether an algae reproduction prediction index and a bacteria reproduction prediction index are larger than a preset index threshold value, respectively judging whether the two prediction indexes are larger than the preset index threshold value, and obtaining the color image information of the shrimp culture pond and extracting color characteristic values in the image information as long as any one of the two prediction indexes is larger than the preset index threshold value.
In addition, in the acquiring of the color image information of the shrimp pond and the extracting of the color characteristic value in the image information, the breeding status of algae and bacteria can be analyzed by acquiring the color image information of the shrimp pond, if the water body of the shrimp pond turns red, the breeding status is generally caused by the excessive breeding of dinoflagellates, and if the water body of the shrimp pond turns red and white, the breeding status of the algae and the bacteria is generally caused by the massive breeding, so after the color characteristic value in the image information is extracted, the breeding status of the algae and the bacteria can be more accurately analyzed. The information of the microorganism inhibition scheme comprises an algae reproduction processing scheme and a bacteria breeding processing scheme, wherein the algae reproduction processing scheme is to sprinkle live bacteria preparations such as 'Lishengyuan' (produced by Synbiotic Biotechnology Limited in Guangzhou City, the main components of which are bacillus subtilis and a plurality of super-hypoxia-resistant bacillus composite bacteria) with corresponding concentrations to the cultured shrimp ponds, and the bacteria breeding processing scheme is to sprinkle sterilization products such as 'high energy 500' (produced by Synbiotic Biotechnology Limited in Guangzhou City, the main components of which are strong oxidants such as potassium monopersulfate composite salt) with corresponding concentrations to the cultured shrimp ponds.
According to the embodiment of the invention, the acquiring of the cultivation environment data and the obtaining of the cultivation environment correction information by combining with the forecast meteorological data analysis further comprise:
performing data analysis on the predicted meteorological data to obtain prediction information of severe weather;
obtaining growth state information of the penaeus vannamei boone in the shrimp pond, and performing data analysis on the growth state information to obtain a to-be-listed index of the penaeus vannamei boone;
analyzing and obtaining breeding feed correction information and breeding shrimp pond correction information according to the to-market index of the penaeus vannamei and the severe weather prediction information;
and performing data arrangement on the breeding feed correction information and the breeding shrimp pond correction information to obtain breeding environment correction information.
It should be noted that the severe weather prediction information includes the number of days in which the severe weather prediction is imminent and the number of days in which the severe weather prediction is continued. The method comprises the steps of obtaining growth state information of the penaeus vannamei boone in a shrimp pond, and carrying out data analysis on the growth state information to obtain a to-market index of the penaeus vannamei boone, wherein the to-market index of the penaeus vannamei boone is specifically the number of days for predicting the penaeus vannamei boone to be bred on the market.
According to the embodiment of the invention, the method for analyzing and obtaining the corrected information of the breeding feed and the corrected information of the breeding shrimp pond according to the index of the penaeus vannamei to be listed on the market and the prediction information of severe weather comprises the following steps:
judging whether the predicted marketing culture days of the penaeus vannamei boone are more than the predicted near days of severe weather;
if the number of days is larger than the preset number of days, calculating the difference between the predicted marketing culture days of the penaeus vannamei boone and the predicted near days of severe weather to obtain a day difference;
if the difference value of the days is smaller than the preset difference value, calculating and analyzing the feeding correction frequency and the feeding correction feed amount of the aquaculture feed according to the difference value of the days;
and performing data arrangement on the feeding correction frequency and the feeding correction feed amount of the aquaculture feed to obtain aquaculture feed correction information.
It should be noted that the severe weather includes typhoon, rainstorm, snowstorm and the like, and the severe weather seriously affects the water environment of the shrimp culture pond, so that the water temperature, salinity, dissolved oxygen, pH value and the like of the water body suddenly change, so that the stress reaction of the prawns occurs, and unpredictable economic loss is caused to culturists. Therefore, the penaeus vannamei boone is listed in advance by predicting the number of days close to severe weather in advance, so that the economic loss caused by the severe weather can be reduced. And if the difference value of the number of days is smaller than the preset difference value, calculating and analyzing the feeding correction frequency and the feeding correction feed amount of the aquaculture feed according to the difference value of the number of days, and analyzing whether the currently cultured penaeus vannamei boone can be listed in advance in a mode of increasing the feeding amount or not through comparing the difference value of the number of days with the preset difference value. In the culture feed feeding correction frequency and the culture correction feed amount obtained through calculation and analysis, the feeding frequency is increased and the feed feeding amount is increased, so that the penaeus vannamei boone reaches the market standard before severe weather comes.
According to the embodiment of the invention, the obtaining of the corrected information of the shrimp pond further comprises:
performing data analysis on the predicted meteorological data to obtain typhoon and rainstorm weather prediction information;
obtaining the predicted change values of the water temperature, the salinity, the dissolved oxygen and the PH value of the shrimp culture pond according to the typhoon and rainstorm weather prediction information;
and analyzing to obtain a breeding environment early warning scheme according to the predicted change value.
The culture environment early warning scheme comprises early warning schemes for dealing with various environment changes of the culture shrimp pond, for example, in continuous heavy rain weather, dissolved oxygen in a water body is rapidly reduced, salinity is reduced, water temperature is accumulated and reduced, and the like, and at the moment, the culture environment can be regulated in advance according to predicted change values of the water temperature, the salinity, the dissolved oxygen and the pH value of the culture shrimp pond; analyzing the number of the oxygen increasing machines which need to be opened in each shrimp pond in the rainstorm weather according to the predicted change value of the dissolved oxygen amount, thereby carrying out manual arrangement in advance; according to the predicted change value of the pH value, slaked lime for adjusting the pH value of the water body is purchased in advance, and the pH value of the water body can be adjusted and controlled in time in rainstorm weather.
According to the embodiment of the invention, the method further comprises the following steps:
acquiring historical severe weather time data and historical market price data of penaeus vannamei boone;
carrying out comprehensive data analysis according to the time data and the price data to obtain predicted price fluctuation indexes of different months in one year;
obtaining month information suitable for being listed according to the forecast price fluctuation indexes of different months in a year;
and obtaining a shrimp fry growth prediction period according to the month information suitable for being on the market, and carrying out the culture work of the penaeus vannamei boone according to the shrimp fry growth prediction period.
It should be noted that the historical severe weather time data includes the starting time and the duration of severe weather such as typhoon and rainstorm for nearly three years, and the historical market price data of the penaeus vannamei includes market price information of the penaeus vannamei for nearly three years. The suitable listed month information is a few months in a year, generally 5 to 8 months. The shrimp fry growth prediction period comprises the starting breeding time and the time of appearing on the market of the shrimp fries. Through comprehensive analysis of historical severe weather time data and historical market price data of the penaeus vannamei boone, the culture time of the penaeus vannamei boone in the future one year can be reasonably planned, and scientific culture yield increase of the penaeus vannamei boone is realized.
The invention discloses a method and a system for controlling the culture of penaeus vannamei boone based on meteorological change. In addition, the method can analyze the severe weather prediction information through weather change, and improve the culture condition of the penaeus vannamei boone in advance according to the prediction information, so that the penaeus vannamei boone can be listed in advance before the severe weather comes, and the economic loss of the reduction of the yield of the penaeus vannamei boone caused by the severe weather is reduced.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A litopenaeus vannamei culture regulation and control method based on meteorological change is characterized by comprising the following steps:
acquiring historical meteorological data within preset time;
obtaining predicted meteorological data according to historical meteorological data;
acquiring culture environment data, and analyzing by combining with predicted meteorological data to obtain culture environment correction information;
and sending the breeding environment correction information to a preset display device and carrying out breeding regulation and control according to the breeding environment correction information.
2. The method for regulating and controlling the breeding of penaeus vannamei boone based on meteorological changes according to claim 1, wherein the obtaining of the predicted meteorological data according to the historical meteorological data specifically comprises:
acquiring daily weather information of temperature, air pressure, rainfall, wind direction and wind speed of a culture place within preset time;
calculating and analyzing the meteorological information to obtain a data change index of each meteorological information;
according to the data change index of each meteorological information, combining the current meteorological information to obtain the prediction data of each meteorological information;
and performing data arrangement on the prediction data of the meteorological information to obtain prediction meteorological data.
3. The method for controlling the culture of penaeus vannamei boone based on meteorological changes according to claim 1, wherein the obtaining of the culture environment data and the analysis of the forecast meteorological data to obtain the culture environment correction information comprises:
constructing a cultured shrimp pond database, and judging whether the area of the cultured shrimp pond is larger than the area of a preset shrimp pond;
if the area of the shrimp pond is larger than the preset area of the shrimp pond, dividing the shrimp pond into N different shrimp pond subregions, wherein the area of each shrimp pond subregion is smaller than the preset area of the shrimp pond;
numbering the shrimp pool sub-areas and acquiring the culture environment data of each shrimp pool sub-area;
and importing the culture environment data of the sub-area into a culture shrimp pond environment database according to the serial number sequence.
4. The method for controlling the culture of litopenaeus vannamei based on meteorological variation according to claim 1, wherein the obtaining of the culture environment data and the analysis of the forecast meteorological data are combined to obtain the culture environment correction information, further comprising:
acquiring temperature information prediction data in the prediction meteorological data, and analyzing to obtain water temperature prediction data by combining with current aquaculture water temperature information;
obtaining the dissolved oxygen information of the current shrimp pond, and analyzing by combining with the forecast meteorological data to obtain the forecast data of the dissolved oxygen;
and calculating and analyzing according to the water temperature prediction data and the dissolved oxygen prediction data to obtain an algae reproduction prediction index and a bacteria reproduction prediction index.
5. The method for controlling penaeus vannamei boone cultivation based on meteorological changes according to claim 1, wherein the obtaining of the cultivation environment data and the analysis of the forecast meteorological data are combined to obtain the cultivation environment correction information further comprises:
judging whether the algae reproduction prediction index and the bacteria reproduction prediction index are larger than a preset index threshold value or not;
if the index is larger than a preset index threshold value, acquiring color image information of the shrimp culture pond and extracting a color characteristic value in the image information;
and (4) acquiring dissolved oxygen prediction data, and combining the color characteristic value, the algae reproduction prediction index and the bacteria reproduction prediction index to obtain the microorganism inhibition scheme information.
6. The method for controlling penaeus vannamei boone cultivation based on meteorological changes according to claim 1, wherein the obtaining of the cultivation environment data and the analysis of the forecast meteorological data are combined to obtain the cultivation environment correction information further comprises:
performing data analysis on the predicted meteorological data to obtain prediction information of severe weather;
obtaining growth state information of the penaeus vannamei boone in the shrimp pond, and performing data analysis on the growth state information to obtain a to-be-listed index of the penaeus vannamei boone;
analyzing and obtaining breeding feed correction information and breeding shrimp pond correction information according to the to-market index of the penaeus vannamei and the severe weather prediction information;
and performing data arrangement on the breeding feed correction information and the breeding shrimp pond correction information to obtain breeding environment correction information.
7. The utility model provides a south america white shrimp breeds regulation and control system based on meteorological change which characterized in that, this system includes: the device comprises a memory and a processor, wherein the memory comprises a litopenaeus vannamei cultivation regulating and controlling method program based on meteorological change, and the litopenaeus vannamei cultivation regulating and controlling method program based on meteorological change realizes the following steps when being executed by the processor:
acquiring historical meteorological data within preset time;
obtaining predicted meteorological data according to the historical meteorological data;
acquiring culture environment data, and analyzing by combining with predicted meteorological data to obtain culture environment correction information;
and sending the breeding environment correction information to a preset display device and carrying out breeding regulation and control according to the breeding environment correction information.
8. The system for controlling penaeus vannamei boone cultivation based on meteorological variation according to claim 7, wherein the obtaining of the predicted meteorological data according to the historical meteorological data specifically comprises:
acquiring daily weather information of temperature, air pressure, rainfall, wind direction and wind speed of a culture place within preset time;
calculating and analyzing the meteorological information to obtain a data change index of each meteorological information;
according to the data change index of each meteorological information, combining the current meteorological information to obtain the prediction data of each meteorological information;
and performing data arrangement on the prediction data of the meteorological information to obtain prediction meteorological data.
9. The system of claim 7, wherein the obtaining of the cultivation environment data and the obtaining of the cultivation environment correction information by the combination of the forecast weather data analysis comprise:
constructing a cultured shrimp pond database, and judging whether the area of the cultured shrimp pond is larger than the area of a preset shrimp pond;
if the area of the shrimp pool for cultivation is larger than the preset area of the shrimp pool, dividing the shrimp pool into N different shrimp pool sub-areas, wherein the area of the shrimp pool sub-area is smaller than the preset area of the shrimp pool;
numbering the shrimp pool sub-areas and acquiring the culture environment data of each shrimp pool sub-area;
and importing the culture environment data of the subareas into a culture shrimp pond database according to the serial number sequence.
10. The system of claim 7, wherein the obtaining of the cultivation environment data and the obtaining of the cultivation environment correction information by the combination of the forecast weather data analysis further comprises:
performing data analysis on the predicted meteorological data to obtain prediction information of severe weather;
obtaining growth state information of the penaeus vannamei boone in the shrimp pond, and performing data analysis on the growth state information to obtain a to-be-listed index of the penaeus vannamei boone;
analyzing and obtaining breeding feed correction information and breeding shrimp pond correction information according to the to-market index of the penaeus vannamei and the severe weather prediction information;
and performing data arrangement on the breeding feed correction information and the breeding shrimp pond correction information to obtain breeding environment correction information.
CN202210711184.7A 2022-06-22 2022-06-22 Penaeus vannamei boone breeding regulation and control method and system based on meteorological change Pending CN115049281A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115759487A (en) * 2023-01-09 2023-03-07 广东省气象公共服务中心(广东气象影视宣传中心) Meteorological risk prediction method for penaeus vannamei boone culture fertilizer water operation window period
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

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106022501A (en) * 2015-10-13 2016-10-12 中国水产科学研究院渔业机械仪器研究所 Freshwater aquaculture water quality prediction system based on meteorological data
CN106774478A (en) * 2016-11-24 2017-05-31 防城港市气象局 A kind of equipment according to air pressure adjustment aquaculture dissolved oxygen amount
CN107333703A (en) * 2017-06-21 2017-11-10 中国水产科学研究院淡水渔业研究中心 A kind of Penaeus Vannmei pond culture water quality intelligence control system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106022501A (en) * 2015-10-13 2016-10-12 中国水产科学研究院渔业机械仪器研究所 Freshwater aquaculture water quality prediction system based on meteorological data
CN106774478A (en) * 2016-11-24 2017-05-31 防城港市气象局 A kind of equipment according to air pressure adjustment aquaculture dissolved oxygen amount
CN107333703A (en) * 2017-06-21 2017-11-10 中国水产科学研究院淡水渔业研究中心 A kind of Penaeus Vannmei pond culture water quality intelligence control system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
周羽英等: "南美白对虾旺长阶段的高效管理", 当代畜禽养殖业, no. 10, 31 December 2011 (2011-12-31), pages 51 - 52 *
王卫平等: "南美白对虾养成过程中的水质调控", 河北渔业, no. 5, 31 December 2007 (2007-12-31), pages 22 - 23 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115759487A (en) * 2023-01-09 2023-03-07 广东省气象公共服务中心(广东气象影视宣传中心) Meteorological risk prediction method for penaeus vannamei boone culture fertilizer water operation window period
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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