CN118036903A - Odontobutis obscura behavior data-based seedling culture management system and method - Google Patents
Odontobutis obscura behavior data-based seedling culture management system and method Download PDFInfo
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- 241001669656 Odontobutis obscura Species 0.000 title claims abstract description 250
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 990
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 113
- 230000002159 abnormal effect Effects 0.000 claims abstract description 65
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- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 210000000476 body water Anatomy 0.000 claims abstract description 20
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- 230000006399 behavior Effects 0.000 claims description 265
- 238000007726 management method Methods 0.000 claims description 52
- 230000017448 oviposition Effects 0.000 claims description 46
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- 241001669657 Odontobutis Species 0.000 claims description 27
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- 230000036760 body temperature Effects 0.000 claims description 24
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- 241000879809 Felis margarita Species 0.000 claims description 16
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- 238000001816 cooling Methods 0.000 claims description 3
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- 235000013601 eggs Nutrition 0.000 claims description 3
- 230000019637 foraging behavior Effects 0.000 claims description 3
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- 230000000284 resting effect Effects 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 238000009395 breeding Methods 0.000 description 6
- 230000001488 breeding effect Effects 0.000 description 6
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Abstract
The invention relates to the technical field of seedling culture management, and discloses a seedling culture management system and a method based on odontobutis obscurus behavior data, wherein the system comprises an odontobutis obscurus spawning behavior recognition management module and a pond water body water temperature monitoring management module; modeling an odontobutis obscurus culture pond water body space geographic model, carrying out plane grid division on the surface of a pond water body, constructing coordinates of water temperature measuring points of the pond water body space, and carrying out temperature measurement operation on the water temperature measuring points by an unmanned aerial vehicle carried with a three-dimensional laser scanner, so that point-to-point monitoring of the water temperature of the odontobutis obscurus culture pond water body is realized, and the fine management of the water temperature of the odontobutis obscurus culture stage pond water body is ensured; the temperature sensor is used for accurately measuring the water temperature parameters of the water temperature measuring points of each pond water body in a point-to-point mode, and the numerical comparison is carried out on the water temperature parameters of the water temperature measuring points of each pond water body in combination with the data search algorithm and the standard water temperature parameters of the odontobutis obscurus seedling culture, so that the intelligent analysis of abnormal water temperature of the water temperature measuring points in the odontobutis obscurus seedling culture stage is realized.
Description
Technical Field
The invention relates to the technical field of seedling culture management, in particular to a seedling culture management system and method based on odontobutis obscura behavior data.
Background
The natural yield of the odontobutis obscurus is not high, the survival rate and the yield of the odontobutis obscurus are improved by artificial breeding, however, in the existing artificial breeding odontobutis obscurus breeding management stage, whether the odontobutis obscurus starts to spawn or not needs to be checked manually periodically, meanwhile, the odontobutis obscurus spawning and breeding stage is very sensitive to the water temperature of pond water body, the water temperature is too high and too low, normal spawning of the odontobutis obscurus and the survival rate of fish fries are influenced, the water temperature of the pond water body is monitored manually in the odontobutis obscurus spawning stage and the breeding stage, the spawning behavior of the odontobutis obscurus cannot be monitored accurately in real time, meanwhile, the water temperature of the whole pond water body space cannot be guaranteed to be suitable for the spawning and the growth of the odontobutis also unable to perform point adjustment on the water temperature of the pond water body space, and the survival rate and quality of the odontobutis reduced.
The Chinese patent application with publication number of CN115983795A discloses a management method and a management system for pond culture, wherein static culture parameters of a pond are collected by adopting a static data collection period, and whether a medicine is required to be put into a pond water body is judged through evaluating the static culture parameters so as to optimize the water quality; when the medicine is required to be put in, acquiring the amount of the medicine required to be put in through calculation and analysis of the culture static parameters; acquiring the growth dynamic parameters of the fish fry in the pond according to the dynamic data acquisition period, and acquiring a variation coefficient by calculating and analyzing the growth dynamic parameters; and evaluating and optimizing the experience feeding mode of the feed according to the variation coefficient. The invention also discloses a management system for pond culture. The invention builds a data chain comprising water quality, feed, growth, diseases, health care and the like, thereby obtaining accurate data, realizing dynamic analysis of the culture process, taking a scheme in time, ensuring healthy growth of the fries, achieving the purpose of well-known and practical management, however, the pond culture management system cannot perform point-to-point monitoring and adjustment on the water temperature in the water space water quality parameters of the pond, cannot realize the fine management of the pond culture, and also reduces the survival rate and quality of the pond fry culture.
Disclosure of Invention
(One) solving the technical problems
In order to solve the problems that the spawning behavior of the odontobutis obscurus can not be accurately monitored in real time, meanwhile, the water temperature of the water body space of the whole pond can not be ensured to be in the requirements of the spawning and the fry growth of the odontobutis obscurus by manually monitoring the water temperature of the water body of the pond, and the water temperature of the water body space of the pond can not be adjusted in a point-to-point manner, so that the survival rate and the quality of the odontobutis obscurus seedling culture are reduced, the purposes of accurately monitoring the spawning behavior of the odontobutis obscurus, accurately measuring the water temperature of the water body space in a point-to-point manner, finely controlling the water temperature of the water body and improving the scientificity of the odontobutis obscurus seedling culture management are realized.
(II) technical scheme
The invention is realized by the following technical scheme: the method for managing the seedling culture based on the odontobutis obscura behavior data comprises the following steps:
S1, acquiring the movable behavior characteristic image data of odontobutis obscura;
S2, performing the behavior characteristic image matching of the odontobutis obscura moving behavior characteristic image data and the odontobutis obscura spawning behavior characteristic image data by adopting a data identification algorithm, and analyzing and generating odontobutis obscura spawning behavior analysis result data;
s3, collecting the space geographic model data of the pond water body when the analysis result data of the spawning behaviors of the odontobutis obscura are spawning; performing plane grid division on the surface of the pond water body according to the pond water body space geographic model data, establishing a space coordinate system, acquiring coordinates of plane grid division intersection points of the surface of the pond water body, and constructing the coordinates of the plane grid division intersection points of the surface of the pond water body into coordinates data of water temperature measurement points of the pond water body space;
S4, the water body temperature measuring equipment performs water temperature measuring operation on each water temperature measuring point of the pond water body according to the water temperature measuring point coordinate data of the pond water body space, and collects water temperature data of the water temperature measuring points of the pond water body;
s5, carrying out water temperature parameter numerical comparison on the water temperature measurement point water temperature data of the pond water body and the standard water temperature interval data of the pond water body by adopting a data search algorithm, and identifying the water temperature measurement point water temperature data of the pond water body which does not belong to the standard water temperature interval data of the pond water body to generate abnormal water temperature data of the water temperature measurement point of the pond water body;
S6, measuring out pond water body standard water temperature average value data according to the pond water body standard water temperature interval data; performing water temperature parameter difference processing on the standard water temperature average value data of the pond water body and the abnormal water temperature data of the water temperature measuring points of the pond water body, and constructing abnormal water temperature adjustment quantity and adjustment mode data of the pond water body according to the result data of the water temperature parameter difference processing;
and S7, the water body temperature regulating equipment executes water temperature regulating operation for specific water temperature measuring points according to the abnormal water temperature regulating quantity and regulating mode data of the pond water body, and when the water temperature regulating operation is completed, the steps S4, S5, S6 and S7 are repeatedly executed.
Preferably, the operation steps for collecting the data of the movable behavior characteristic image of the odontobutis obscura are as follows:
S11, collecting behavior characteristic images of normal activities of the odontobutis obscura in the pond water body in the seedling culture stage through an underwater monitoring lens, and establishing an odontobutis obscura activity behavior characteristic image data set ，; Wherein/>Represents the acquisition of the/>Odontobutis minor activity behavior feature image data,/>And representing the maximum value of the acquired image data of the movable behavior characteristics of the odontobutis obscura, wherein the movable behavior characteristics of the odontobutis obscura comprise any one of foraging behavior characteristics, resting behavior characteristics and spawning behavior characteristics of the odontobutis obscura.
Preferably, the data recognition algorithm is used for performing the behavior feature image matching of the odontobutis obscura on the odontobutis obscura activity behavior feature image data and the odontobutis obscura spawning behavior feature image data, and the operation steps for analyzing and generating the odontobutis obscura spawning behavior analysis result data are as follows:
s21, establishing an odontobutis obscura spawning behavior characteristic image data set ，; Wherein/>Represents the/>Odontobutis minor oviposition behavior characteristic image data,/>The method comprises the steps of representing the maximum value of the characteristic image data of the spawning behavior of the odontobutis obscurus, wherein the spawning behavior of the odontobutis obscurus represents the behavior of the odontobutis obscurus female fish to discharge fish eggs;
S22, adopting a data recognition algorithm to collect the movable behavior characteristic image data of the odontobutis obscura Odontobutis obscura activity behavior feature image data/>Characteristic image data set/>, of spawning behaviors with odontobutis obscuraOdontobutis obscura spawning behavior feature image data/>Performing the behavioral characteristic image matching of the odontobutis obscurus, wherein the specific operation steps of performing the behavioral characteristic image matching of the odontobutis obscurus by the data identification algorithm are as follows:
S221, initializing, namely defining relevant structural parameters as vectors, and collecting oviposition behavior characteristic image data of odontobutis obscura Constitution/>In the dimensional optimization problem, spawning behavior recognition sand cat is 1×/>, which represents the problem solutionArray, each variable valueAre all a floating point number, each/>Is a characteristic image data set of spawning behavior of odontobutis obscuraThe fitness of each spawning behavior recognition sand cat is obtained through a fitness function of the problem to be solved between a lower boundary and an upper boundary in the search space;
s222, searching hunting, wherein final parameters and main parameters for controlling the transition of exploration and development phases are When/>When >1, the spawning behavior recognition sand cat spawns behavior feature image data set/>, of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>The oviposition behavior recognition cat search process relies on the release of low frequency noise, assuming that the sensitivity range/>, of oviposition behavior recognition catFrom 0 to 2kHz, the frequency of the laser beam,Representing inspiration from oviposition behavior recognition of auditory features of a sand cat,/>For the current iteration number,/>For the maximum number of iterations, rand (0, 1) represents a random number of 0 to 1;
，/> Wherein/> Representing a sensitivity vector;
identification of the position of the Saka from the best candidate for each spawning behavior And the current location/>And its sensitivity range/>Updating the position of the device, namely, the device is characterized by the oviposition behavior characteristic image data set/>, of the odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>Is a position of (2);
Wherein/> Representation/>Identification of oviposition behavior of martens after multiple iterations in odontobutis obscura oviposition behavior feature image data set/>Current location in search space,/>Representation/>Identification of oviposition behavior of martens after multiple iterations in odontobutis obscura oviposition behavior feature image data set/>Searching for the best candidate location in the space;
S223, attacking prey, when When the spawning behavior is less than or equal to 1, identifying the data of the characteristic image of the activity behavior of the odontobutis obscura by the marsupium behavior recognition marsupium, and/>Matched Odontobutis obscura spawning behavior feature image data/>By means of searching for the best candidate position/>And the current position/>Generating a random position, namely, generating a characteristic image data set/>, of spawning behaviors of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>Assuming that the sensitivity range of the spawning behavior recognition cat is a circle, randomly selecting an angle θ for each spawning behavior recognition cat by using a roulette method, and calculating a formula of the random position: Wherein/> The sensitivity vector is represented by a vector of the sensitivity,Cosine value representing angle θ,/>Image data set/>, representing oviposition behavior recognition of sand cat in odontobutis obscuraSearching random positions in the search space, wherein the random positions enable oviposition behaviors to identify that a sand cat approaches and attacks a prey, namely, the oviposition behaviors feature image data set/>, of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>；
S224, outputting the analysis result data of the oviposition behavior of the odontobutis obscurus when the search algorithm reaches the maximum iteration number, otherwise, continuing iteration until the maximum iteration number is met;
When (when) And/>If the matching is successful, the result data of the egg laying behavior analysis of the odontobutis obscurus is output as egg laying when the odontobutis obscurus in the pond water body has egg laying behaviors;
When (when) And/>If the matching is unsuccessful, the fact that the odontobutis obscurus in the pond water body does not have spawning behaviors is indicated, then the data of the spawning behavior analysis result of the odontobutis obscurus is output as not spawning, and the spawning behavior analysis operation of the odontobutis obscurus is ended.
Preferably, when the analysis result data of the spawning behavior of the odontobutis obscura is spawning, collecting the space geographic model data of the pond water body; carrying out plane grid division on the surface of the pond water body according to the pond water body space geographic model data, establishing a space coordinate system, acquiring the coordinates of intersection points of plane grid division on the surface of the pond water body, and constructing the coordinates of intersection points of plane grid division on the surface of the pond water body into the coordinates data of water temperature measuring points of the pond water body space, wherein the operation steps are as follows:
s31, when the analysis result data of the spawning behaviors of the odontobutis obscura is spawning, scanning and collecting a space geographic model of the odontobutis obscura pond water body through an unmanned aerial vehicle-mounted three-dimensional laser scanner to generate pond water body space geographic model data ；
S32, according to the pond water space geographic model dataAnd utilize side length as/>Carrying out plane grid division treatment on the surface of the pond water body by the square; establishing a space sphere coordinate system by taking an earth sphere as a coordinate system matrix, and obtaining the space geographic model data/>Coordinates of square intersection points in the space spherical coordinate system after plane meshing is performed on the corresponding pond water body surface;
s33, constructing coordinates of square intersection points obtained by carrying out plane meshing on the surface of the pond water body in the space spherical coordinate system as pond water body space water temperature measurement point coordinate data, and establishing a pond water body space water temperature measurement point coordinate data set ，/>; Wherein/>Represents the/>Coordinate data of water temperature measuring points of water space of pond/waterRepresents the maximum value of the number of water temperature measuring points in the water space of the pond,/>Wherein/>Represents the/>Longitude corresponding to the coordinate data of the water temperature measuring points in the water space of each pond; /(I)Represents the/>Latitude corresponding to the coordinate data of the water temperature measuring points in the water space of each pond; /(I)Represents the/>And measuring the corresponding height of the coordinate data of the water temperature measurement points in the water space of the pond.
Preferably, the water body temperature measuring device performs water temperature measuring operation on each water temperature measuring point of the pond water body according to the coordinate data of the water temperature measuring points of the pond water body space, and the operation steps of collecting water temperature data of the water temperature measuring points of the pond water body are as follows:
S41, the water body temperature measuring equipment measures the coordinate data set of the point according to the water body space water temperature of the pond Coordinate data/>, of water temperature measurement points of water space of middle pondThe water temperature measuring device comprises an unmanned ship carrying a temperature measuring sensor;
S42, collecting the water temperature of the pond water body corresponding to the specific water temperature measuring point in real time through a temperature measuring sensor and generating water temperature data of the water temperature measuring point of the pond water body 。
Preferably, the data search algorithm is adopted to compare the water temperature parameter values of the water temperature measurement point water temperature data of the pond water body with the standard water temperature interval data of the pond water body, and the operation steps of generating abnormal water temperature data of the water temperature measurement point of the pond water body by using the water temperature data identification of the water temperature measurement point of the pond water body, which does not belong to the standard water temperature interval data of the pond water body, are as follows:
S51, establishing standard water temperature interval data of pond water body Wherein/>Representing the minimum value of the standard water temperature interval data of the water body of the odontobutis obscurus seedling culture pond; /(I)Representing the maximum value of the standard water temperature interval data of the water body of the odontobutis obscurus seedling culture pond; /(I)，/>The units are all in the same degree centigrade;
S52, adopting an iterative deepening search algorithm to obtain water temperature data of water temperature measuring points of the pond water body Data of water temperature interval with standard water body of pond/>The water temperature parameter numerical value is compared with the standard water temperature interval data of the pond water body; when/>∈/>Coordinate data/>, representing water temperature measurement points of pond water spaceCorresponding pond water temperature measurement point water temperature data/>Meets the water temperature requirement of the standard for odontobutis obscura seedling culture, and the water body temperature measuring equipment performs/>, according to the coordinate data set of the water body space water temperature measuring points of the pondCoordinate data/>, of water temperature measurement points of water space of middle pondContinuously executing water temperature measurement operation of the next water temperature measurement point of the pond water body until the water temperature measurement operation of all the water temperature measurement points is completed;
When (when) Coordinate data/>, representing water temperature measurement points of pond water spaceCorresponding pond water temperature measurement point water temperature data/>If the water temperature does not meet the water temperature requirement of the standard seedling culture of odontobutis obscura, the water temperature measurement point water temperature data/>, of the pond water bodyIdentification generation of abnormal water temperature data/>, of water temperature measurement points of pond water body。
Preferably, standard water temperature average value data of the pond water body are measured according to the standard water temperature interval data of the pond water body; performing water temperature parameter difference processing on the standard water temperature average value data of the pond water body and the abnormal water temperature data of the water temperature measuring points of the pond water body, and constructing abnormal water temperature adjustment quantity and adjustment mode data of the pond water body according to the result data of the water temperature parameter difference processing, wherein the operation steps are as follows:
s61, according to the standard water temperature interval data of the pond water body Calculating standard water temperature average value data/>, of pond water body by combining average value formula，/>The unit is DEG C;
S62, standard water temperature average value data of the pond water body Abnormal water temperature data/>, of water temperature measuring points of water bodies in pondsPerforming water temperature parameter difference processing, and constructing abnormal water temperature adjustment quantity and adjustment mode data/>, of the pond water body, according to the result data of the water temperature parameter difference processingWherein，/>The unit is DEG C; /(I)Depending on/>Positive and negative values of (a);
When (when) > 0, Means/>＜/>And/>＜/>At this time, the coordinate data/>, of the water temperature measuring points in the space of the pond water bodyCorresponding pond water temperature measurement point water temperature data/>Data/>, which is smaller than standard water temperature interval of pond water bodyAt the moment, the coordinate data/>, of the water temperature measurement points of the space of the pond water body, are neededHeating up the water body at the corresponding water temperature measuring point;
When (when) < 0, Means/>＞/>And/>＞/>At this time, the coordinate data/>, of the water temperature measuring points in the space of the pond water bodyCorresponding pond water temperature measurement point water temperature data/>Data/> greater than standard water temperature interval of pond water bodyAt the moment, the coordinate data/>, of the water temperature measurement points of the space of the pond water body, are neededAnd cooling the water body at the corresponding water temperature measuring point.
Preferably, the water body temperature adjusting device executes water temperature adjusting operation for specific water temperature measuring points according to the abnormal water temperature adjusting amount and adjusting mode data of the pond water body, and when the water temperature adjusting operation is completed, the operation steps of S4, S5, S6 and S7 are repeatedly executed are as follows:
S71, the water body temperature regulating equipment regulates the quantity and the data of the regulating mode according to the abnormal water temperature of the pond water body Executing the coordinate data/>, of the water temperature measurement points of the space of the pond water bodyPerforming water temperature adjustment operation on the water body at the corresponding water temperature measuring point, wherein the water body temperature adjustment equipment comprises water body temperature increasing equipment and water body temperature reducing equipment;
S72, when the water temperature adjustment operation is completed, repeatedly executing the steps S42, S52, S62, S71 and S72 to coordinate data of water temperature measuring points of the pond water space And carrying out water temperature adjustment detection operation on the corresponding water temperature measuring point water body.
The system for realizing the odontobutis obscura behavior data-based seedling culture management method comprises an odontobutis obscura spawning behavior identification management module, a pond water body water temperature monitoring management module and a pond water body water temperature adjustment management module;
The odontobutis obscura spawning behavior recognition management module comprises an odontobutis obscura activity behavior feature image acquisition unit, an odontobutis obscura spawning behavior feature image storage unit and an odontobutis obscura spawning behavior analysis unit;
The odontobutis obscura movable behavior feature image acquisition unit acquires odontobutis obscura movable behavior feature image data through an underwater monitoring lens; the odontobutis obscura spawning behavior characteristic image storage unit is used for storing odontobutis obscura spawning behavior characteristic image data; the odontobutis obscura spawning behavior analysis unit is used for performing odontobutis obscura behavior feature image matching on the odontobutis obscura movable behavior feature image data and odontobutis obscura spawning behavior feature image data by adopting a data identification algorithm, and analyzing and generating odontobutis obscura spawning behavior analysis result data;
The pond water body water temperature monitoring and managing module comprises a pond water body space model generating unit, a pond water body space water temperature measuring point establishing unit, a pond water body water temperature measuring and executing unit, a pond water body water temperature parameter collecting unit, a pond water body standard water temperature parameter storing unit and a pond water body abnormal water temperature analyzing unit;
the pond water space model generation unit is used for collecting pond water space geographic model data through a three-dimensional laser scanner carried by the unmanned aerial vehicle; the pond water body space water temperature measurement point establishing unit performs plane grid division on the surface of the pond water body according to the pond water body space geographic model data, establishes a space coordinate system, acquires the coordinates of intersection points of plane grid division on the surface of the pond water body, and establishes the coordinates of intersection points of plane grid division on the surface of the pond water body as the coordinate data of the pond water body space water temperature measurement point; the water temperature measurement execution unit of the pond water body is used for executing water temperature measurement operation on each water temperature measurement point of the pond water body according to the coordinate data of the water temperature measurement points of the pond water body space; the pond water temperature parameter acquisition unit acquires water temperature data of pond water temperature measurement points through a temperature sensor; the pond water body standard water temperature parameter storage unit is used for storing pond water body standard water temperature interval data; the abnormal water temperature analysis unit of the pond water body adopts a data search algorithm to compare water temperature parameter values of the water temperature measurement point water temperature data of the pond water body with the standard water temperature interval data of the pond water body, and identifies the water temperature measurement point water temperature data of the pond water body which does not belong to the standard water temperature interval data of the pond water body to generate abnormal water temperature data of the pond water body;
The pond water temperature regulation management module comprises a pond water standard water temperature average metering unit, a pond water abnormal water temperature regulation quantity and regulation mode analysis unit and a pond water temperature regulation execution unit;
The pond water body standard water temperature average value measuring unit is used for measuring pond water body standard water temperature average value data according to the pond water body standard water temperature interval data; the pond water abnormal water temperature regulating quantity and regulating mode analyzing unit is used for carrying out difference processing on water temperature parameters on the pond water standard water temperature average value data and the pond water temperature measuring point abnormal water temperature data, and constructing pond water abnormal water temperature regulating quantity and regulating mode data according to the result data of the difference processing on the water temperature parameters; the water temperature adjusting and executing unit for the pond water body carries out water temperature adjusting operation for specific water temperature measuring points and water temperature adjusting and detecting operation according to the abnormal water temperature adjusting quantity and adjusting mode data of the pond water body.
(III) beneficial effects
The invention provides a seedling culture management system and method based on odontobutis obscura behavior data. The beneficial effects are as follows:
1. The method comprises the steps that an odontobutis obscura movable behavior characteristic image acquisition unit and an odontobutis obscura spawning behavior characteristic image storage unit are matched with each other, an underwater monitoring lens is adopted to accurately acquire odontobutis obscura movable behavior characteristic image parameters in real time on line, the odontobutis obscura spawning behavior characteristic image parameters are preset, data support is provided for scientifically and efficiently identifying spawning behaviors of odontobutis obscura in a seedling culture process, and digital management of odontobutis obscura seedling culture is achieved; the odontobutis obscurus spawning behavior analysis unit accurately and efficiently analyzes spawning behaviors of odontobutis obscurus in the process of raising seedlings and culturing by utilizing preset odontobutis obscurus spawning behavior characteristics and combining an intelligent recognition algorithm, so that intelligent and scientific management of odontobutis obscurus raising seedlings and culturing is realized, and the yield and quality of odontobutis obscurus raising seedlings and culturing are improved.
2. Modeling an odontobutis obscurus culture pond water body space geographic model, carrying out plane grid division on the surface of a pond water body, constructing coordinates of water temperature measuring points of the pond water body space, and performing temperature measurement operation on the water temperature measuring points through mutual coordination among a pond water body space model generating unit, a pond water body space water temperature measuring point establishing unit and a pond water body water temperature measuring execution unit by carrying a three-dimensional laser scanner on an unmanned aerial vehicle, so that point-to-point monitoring of the water temperature of the odontobutis obscurus culture pond water body is realized, and the fine management of the pond water body water temperature in the odontobutis obscurus culture stage is obscurus culture is ensured; the pond water temperature parameter acquisition unit and the pond water abnormal water temperature analysis unit are matched with each other, the water temperature parameter of each pond water temperature measurement point is accurately measured point to point through the temperature sensor, and numerical comparison is carried out on the water temperature parameter of each pond water temperature measurement point and the standard water temperature parameter of the odontobutis obscurus seedling culture, so that intelligent analysis on abnormal water temperature of the water temperature measurement points in the odontobutis obscurus seedling culture stage is seedling culture is realized, and the efficiency and quality of seedling culture management are improved.
3. The standard water temperature average value measuring unit of the pond water body and the abnormal water temperature regulating quantity and regulating mode analyzing unit of the pond water body are matched with each other, the water temperature parameter difference processing is carried out on the standard water temperature average value parameter of the pond water body and the abnormal water temperature parameter of the water temperature measuring point of the pond water body, the abnormal water temperature regulating quantity and regulating mode of the water temperature measuring point are scientifically constructed according to the difference value and the positive-negative relation of the water temperature parameter, and the intelligent management of the odontobutis obscurus seedling culture management is improved; the pond water temperature adjusting and executing unit automatically executes water temperature adjustment and water temperature adjustment detection operation of the water temperature measuring point according to abnormal water temperature adjusting quantity and adjusting mode by the water temperature adjusting equipment, and the accurate and reliable management of odontobutis obscurus seedling culture is realized.
Drawings
FIG. 1 is a schematic diagram of a module of a system for managing the cultivation of seedlings based on odontobutis obscura behavior data;
fig. 2 is a flowchart of a seedling culture management method based on odontobutis obscura behavior data.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the system and the method for managing the seedling culture based on the odontobutis obscura behavior data are as follows:
referring to fig. 1-2, the method for managing the breeding and cultivation of the odontobutis obscura based on the behavior data comprises the following steps:
S1, acquiring the movable behavior characteristic image data of odontobutis obscura;
S2, performing the behavior characteristic image matching of the odontobutis obscura with the odontobutis obscura spawning behavior characteristic image data by adopting a data identification algorithm, and analyzing and generating odontobutis obscura spawning behavior analysis result data;
S3, collecting the space geographic model data of the pond water body when the analysis result data of the spawning behaviors of the odontobutis obscurus is spawning; carrying out plane grid division on the surface of the pond water body according to the pond water body space geographic model data, establishing a space coordinate system, acquiring the coordinates of intersection points of plane grid division on the surface of the pond water body, and constructing the coordinates of intersection points of plane grid division on the surface of the pond water body into coordinate data of water body space water temperature measuring points of the pond water body;
S4, the water body temperature measuring equipment performs water temperature measuring operation on each water temperature measuring point of the pond water body according to the coordinate data of the water temperature measuring points of the pond water body space, and collects water temperature data of the water temperature measuring points of the pond water body;
S5, carrying out water temperature parameter numerical comparison on water temperature data of the water temperature measuring points of the pond water body and standard water temperature interval data of the pond water body by adopting a data search algorithm, and identifying water temperature data of the water temperature measuring points of the pond water body, which do not belong to the standard water temperature interval data of the pond water body, to generate abnormal water temperature data of the water temperature measuring points of the pond water body;
S6, measuring standard water temperature average value data of the pond water body according to standard water temperature interval data of the pond water body; performing water temperature parameter difference processing on the standard water temperature average value data of the pond water body and the abnormal water temperature data of the water temperature measuring points of the pond water body, and constructing abnormal water temperature adjustment quantity and adjustment mode data of the pond water body according to the result data of the water temperature parameter difference processing;
And S7, the water temperature regulating equipment executes water temperature regulating operation for specific water temperature measuring points according to abnormal water temperature regulating quantity and regulating mode data of the pond water, and when the water temperature regulating operation is completed, the steps S4, S5, S6 and S7 are repeatedly executed.
Further, referring to fig. 1-2, the operation steps for collecting the data of the movable behavior characteristic image of the odontobutis obscura are as follows:
S11, collecting behavior characteristic images of normal activities of the odontobutis obscura in the pond water body in the seedling culture stage through an underwater monitoring lens, and establishing an odontobutis obscura activity behavior characteristic image data set ，; Wherein/>Represents the acquisition of the/>Odontobutis minor activity behavior feature image data,/>The maximum value of the collected data of the movable behavior characteristic image of the odontobutis obscura is represented, and the movable behavior characteristic of the odontobutis obscura comprises any one of foraging behavior characteristic, resting behavior characteristic and spawning behavior characteristic of the odontobutis obscura.
The data identification algorithm is adopted to match the movable behavior characteristic image data of the odontobutis obscura with the spawning behavior characteristic image data of the odontobutis obscura, and the operation steps for analyzing and generating the spawning behavior analysis result data of the odontobutis obscura are as follows:
s21, establishing an odontobutis obscura spawning behavior characteristic image data set ，; Wherein/>Represents the/>Odontobutis minor oviposition behavior characteristic image data,/>The maximum value of the characteristic image data quantity of the spawning behavior of the odontobutis obscurus is represented, and the spawning behavior of the odontobutis obscurus represents the behavior of the odontobutis obscurus female fish to discharge fish eggs;
s22, adopting a data recognition algorithm to collect the movable behavior characteristic image data of the odontobutis obscura Odontobutis obscura activity behavior feature image data/>Characteristic image data set/>, of spawning behaviors with odontobutis obscuraOdontobutis obscura spawning behavior feature image data/>Performing the characteristic image matching of the odontobutis obscurus, wherein the specific operation steps of performing the characteristic image matching of the odontobutis obscurus by a data identification algorithm are as follows:
S221, initializing, namely defining relevant structural parameters as vectors, and collecting oviposition behavior characteristic image data of odontobutis obscura Constitution/>In the dimensional optimization problem, spawning behavior recognition sand cat is 1×/>, which represents the problem solutionArray, each variable valueAre all a floating point number, each/>Is a characteristic image data set of spawning behavior of odontobutis obscuraThe fitness of each spawning behavior recognition sand cat is obtained through a fitness function of the problem to be solved between a lower boundary and an upper boundary in the search space;
s222, searching hunting, wherein final parameters and main parameters for controlling the transition of exploration and development phases are When/>When >1, the spawning behavior recognition sand cat spawns behavior feature image data set/>, of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>The oviposition behavior recognition cat search process relies on the release of low frequency noise, assuming that the sensitivity range/>, of oviposition behavior recognition catFrom 0 to 2kHz, the frequency of the laser beam,Representing inspiration from oviposition behavior recognition of auditory features of a sand cat,/>For the current iteration number,/>For the maximum number of iterations, rand (0, 1) represents a random number of 0 to 1;
，/> Wherein/> Representing a sensitivity vector;
identification of the position of the Saka from the best candidate for each spawning behavior And the current location/>And its sensitivity range/>Updating the position of the device, namely, the device is characterized by the oviposition behavior characteristic image data set/>, of the odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>Is a position of (2);
Wherein/> Representation/>Identification of oviposition behavior of martens after multiple iterations in odontobutis obscura oviposition behavior feature image data set/>Current location in search space,/>Representation/>Identification of oviposition behavior of martens after multiple iterations in odontobutis obscura oviposition behavior feature image data set/>Searching for the best candidate location in the space;
S223, attacking prey, when When the spawning behavior is less than or equal to 1, identifying the data of the characteristic image of the activity behavior of the odontobutis obscura by the marsupium behavior recognition marsupium, and/>Matched Odontobutis obscura spawning behavior feature image data/>By means of searching for the best candidate position/>And the current position/>Generating a random position, namely, generating a characteristic image data set/>, of spawning behaviors of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>Assuming that the sensitivity range of the spawning behavior recognition cat is a circle, randomly selecting an angle θ for each spawning behavior recognition cat by using a roulette method, and calculating a formula of the random position: Wherein/> The sensitivity vector is represented by a vector of the sensitivity,Cosine value representing angle θ,/>Image data set/>, representing oviposition behavior recognition of sand cat in odontobutis obscuraSearching random positions in the search space, wherein the random positions enable oviposition behaviors to identify that a sand cat approaches and attacks a prey, namely, the oviposition behaviors feature image data set/>, of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>；
S224, outputting the analysis result data of the oviposition behavior of the odontobutis obscurus when the search algorithm reaches the maximum iteration number, otherwise, continuing iteration until the maximum iteration number is met;
When (when) And/>If the matching is successful, the result data of the egg laying behavior analysis of the odontobutis obscurus is output as egg laying when the odontobutis obscurus in the pond water body has egg laying behaviors;
When (when) And/>If the matching is unsuccessful, the fact that the odontobutis obscurus in the pond water body does not have spawning behaviors is indicated, then the data of the spawning behavior analysis result of the odontobutis obscurus is output as not spawning, and the spawning behavior analysis operation of the odontobutis obscurus is ended.
The method comprises the steps that an odontobutis obscura movable behavior characteristic image acquisition unit and an odontobutis obscura spawning behavior characteristic image storage unit are matched with each other, an underwater monitoring lens is adopted to accurately acquire odontobutis obscura movable behavior characteristic image parameters in real time on line, the odontobutis obscura spawning behavior characteristic image parameters are preset, data support is provided for scientifically and efficiently identifying spawning behaviors of odontobutis obscura in a seedling culture process, and digital management of odontobutis obscura seedling culture is achieved; the odontobutis obscurus spawning behavior analysis unit accurately and efficiently analyzes spawning behaviors of odontobutis obscurus in the process of raising seedlings and culturing by utilizing preset odontobutis obscurus spawning behavior characteristics and combining an intelligent recognition algorithm, so that intelligent and scientific management of odontobutis obscurus raising seedlings and culturing is realized, and the yield and quality of odontobutis obscurus raising seedlings and culturing are improved.
Further, referring to fig. 1-2, when the analysis result data of the spawning behavior of the odontobutis obscura is spawning, collecting the space geographic model data of the pond water body; carrying out plane grid division on the surface of the pond water body according to the geographical model data of the space of the pond water body, establishing a space coordinate system, acquiring plane grid division intersection point coordinates of the surface of the pond water body, and constructing the plane grid division intersection point coordinates of the surface of the pond water body into coordinate data of water temperature measuring points of the space of the pond water body, wherein the operation steps are as follows:
s31, when the analysis result data of the spawning behaviors of the odontobutis obscurus is spawning, scanning and collecting a space geographic model of the odontobutis obscurus pond water body through an unmanned aerial vehicle-mounted three-dimensional laser scanner, and generating pond water body space geographic model data ；
S32, according to the space geographic model data of the pond water bodyAnd utilize side length as/>Carrying out plane grid division treatment on the surface of the pond water body by the square; establishing a space sphere coordinate system by taking an earth sphere as a coordinate system matrix to obtain pond water space geographic model data/>Coordinates of square intersection points in a space spherical coordinate system after plane meshing is performed on the corresponding pond water body surface;
s33, constructing coordinates of square intersection points in a space spherical coordinate system after plane meshing of the surface of the pond water body into pond water body space water temperature measuring point coordinate data, and establishing a pond water body space water temperature measuring point coordinate data set ，/>; Wherein/>Represents the/>Coordinate data of water temperature measuring points of water space of pond/waterRepresents the maximum value of the number of water temperature measuring points in the water space of the pond,/>Wherein/>Represents the/>Longitude corresponding to the coordinate data of the water temperature measuring points in the water space of each pond; /(I)Represents the/>Latitude corresponding to the coordinate data of the water temperature measuring points in the water space of each pond; /(I)Represents the/>And measuring the corresponding height of the coordinate data of the water temperature measurement points in the water space of the pond.
The water body temperature measuring equipment performs water temperature measuring operation on each water temperature measuring point of the pond water body according to the water temperature measuring point coordinate data of the pond water body space, and collects water temperature data of the water temperature measuring points of the pond water body, and the operation steps are as follows:
s41, the water body temperature measuring equipment measures point coordinate data sets according to the water body space water temperature of the pond Coordinate data/>, of water temperature measurement points of water space of middle pondThe water temperature measuring device comprises an unmanned ship carrying a temperature measuring sensor;
S42, collecting the water temperature of the pond water body corresponding to the specific water temperature measuring point in real time through a temperature measuring sensor and generating water temperature data of the water temperature measuring point of the pond water body 。
The method comprises the following steps of comparing water temperature parameter values of water temperature measurement point water temperature data of a pond water body with standard water temperature interval data of the pond water body by adopting a data search algorithm, and generating abnormal water temperature data of the water temperature measurement point of the pond water body by identifying water temperature data of the water temperature measurement point of the pond water body, which do not belong to the standard water temperature interval data of the pond water body, wherein the operation steps are as follows:
S51, establishing standard water temperature interval data of pond water body Wherein/>Representing the minimum value of the standard water temperature interval data of the water body of the odontobutis obscurus seedling culture pond; /(I)Representing the maximum value of the standard water temperature interval data of the water body of the odontobutis obscurus seedling culture pond; /(I)，/>The units are all in the same degree centigrade;
s52, adopting an iterative deepening search algorithm to measure water temperature data of water temperature measurement points of water bodies of ponds Data of water temperature interval with standard water body of pond/>The water temperature parameter numerical value is compared with the standard water temperature interval data of the pond water body; when/>∈/>Coordinate data/>, representing water temperature measurement points of pond water spaceCorresponding pond water temperature measurement point water temperature data/>According to the water temperature requirement of the standard seedling culture and water temperature of the odontobutis obscura, the water body temperature measuring equipment measures the coordinate data set/>, according to the water temperature of the pond water body spaceCoordinate data/>, of water temperature measurement points of water space of middle pondContinuously executing water temperature measurement operation of the next water temperature measurement point of the pond water body until the water temperature measurement operation of all the water temperature measurement points is completed; /(I)
When (when) Coordinate data/>, representing water temperature measurement points of pond water spaceCorresponding pond water temperature measurement point water temperature data/>If the water temperature does not meet the water temperature requirement of the standard seedling culture of odontobutis obscura, the water temperature measurement point water temperature data/>, of the pond water bodyIdentification generation of abnormal water temperature data/>, of water temperature measurement points of pond water body。
Modeling an odontobutis obscurus culture pond water body space geographic model, carrying out plane grid division on the surface of a pond water body, constructing coordinates of water temperature measuring points of the pond water body space, and performing temperature measurement operation on the water temperature measuring points through mutual coordination among a pond water body space model generating unit, a pond water body space water temperature measuring point establishing unit and a pond water body water temperature measuring execution unit by carrying a three-dimensional laser scanner on an unmanned aerial vehicle, so that point-to-point monitoring of the water temperature of the odontobutis obscurus culture pond water body is realized, and the fine management of the pond water body water temperature in the odontobutis obscurus culture stage is obscurus culture is ensured; the pond water temperature parameter acquisition unit and the pond water abnormal water temperature analysis unit are matched with each other, the water temperature parameter of each pond water temperature measurement point is accurately measured point to point through the temperature sensor, and numerical comparison is carried out on the water temperature parameter of each pond water temperature measurement point and the standard water temperature parameter of the odontobutis obscurus seedling culture, so that intelligent analysis on abnormal water temperature of the water temperature measurement points in the odontobutis obscurus seedling culture stage is seedling culture is realized, and the efficiency and quality of seedling culture management are improved.
Further, referring to fig. 1-2, standard water temperature average value data of the pond water body is measured according to standard water temperature interval data of the pond water body; performing water temperature parameter difference processing on the standard water temperature average value data of the pond water body and the abnormal water temperature data of the water temperature measuring points of the pond water body, and constructing the abnormal water temperature adjustment quantity and adjustment mode data of the pond water body according to the result data of the water temperature parameter difference processing, wherein the operation steps are as follows:
S61, according to standard water temperature interval data of pond water body Calculating standard water temperature average value data/>, of pond water body by combining average value formula，/>The unit is DEG C;
S62, standard water temperature average value data of pond water body Abnormal water temperature data of water temperature measuring point of pond water bodyPerforming water temperature parameter difference processing, and constructing abnormal water temperature adjustment quantity and adjustment mode data/>, of the pond water body, according to the result data of the water temperature parameter difference processingWherein/>，/>The unit is DEG C; /(I)Depending on/>Positive and negative values of (a);
When (when) > 0, Means/>＜/>And/>＜/>At this time, the coordinate data/>, of the water temperature measuring points in the space of the pond water bodyCorresponding pond water temperature measurement point water temperature data/>Data/>, which is smaller than standard water temperature interval of pond water bodyAt the moment, the coordinate data/>, of the water temperature measurement points of the space of the pond water body, are neededHeating up the water body at the corresponding water temperature measuring point; /(I)
When (when)< 0, Means/>＞/>And/>＞/>At this time, the coordinate data/>, of the water temperature measuring points in the space of the pond water bodyCorresponding pond water temperature measurement point water temperature data/>Data/> greater than standard water temperature interval of pond water bodyAt the moment, the coordinate data/>, of the water temperature measurement points of the space of the pond water body, are neededAnd cooling the water body at the corresponding water temperature measuring point.
The water body temperature regulating device executes water temperature regulating operation for specific water temperature measuring points according to abnormal water temperature regulating quantity and regulating mode data of the pond water body, and when the water temperature regulating operation is completed, the operation steps of S4, S5, S6 and S7 are repeatedly executed as follows:
s71, adjusting quantity and adjusting mode data of water body temperature adjusting equipment according to abnormal water temperature of pond water body Executing coordinate data/>, of water temperature measurement points of pond water spaceThe corresponding water temperature measuring point water body carries out water temperature adjustment operation, and the water temperature adjustment equipment comprises water temperature increasing equipment and water temperature reducing equipment;
S72, when the water temperature adjustment operation is completed, repeatedly executing the steps S42, S52, S62, S71 and S72 to coordinate data of water temperature measurement points of the space of the pond water body And carrying out water temperature adjustment detection operation on the corresponding water temperature measuring point water body.
The standard water temperature average value measuring unit of the pond water body and the abnormal water temperature regulating quantity and regulating mode analyzing unit of the pond water body are matched with each other, the water temperature parameter difference processing is carried out on the standard water temperature average value parameter of the pond water body and the abnormal water temperature parameter of the water temperature measuring point of the pond water body, the abnormal water temperature regulating quantity and regulating mode of the water temperature measuring point are scientifically constructed according to the difference value and the positive-negative relation of the water temperature parameter, and the intelligent management of the odontobutis obscurus seedling culture management is improved; the pond water temperature adjusting and executing unit automatically executes water temperature adjustment and water temperature adjustment detection operation of the water temperature measuring point according to abnormal water temperature adjusting quantity and adjusting mode by the water temperature adjusting equipment, and the accurate and reliable management of odontobutis obscurus seedling culture is realized.
The system for realizing the seedling culture management method based on the odontobutis obscura behavior data comprises an odontobutis obscura spawning behavior recognition management module, a pond water body water temperature monitoring management module and a pond water body water temperature adjustment management module;
the Odontobutis obscura spawning behavior recognition management module comprises an Odontobutis obscura activity behavior characteristic image acquisition unit, an Odontobutis obscura spawning behavior characteristic image storage unit and an Odontobutis obscura spawning behavior analysis unit;
The odontobutis obscura movable behavior feature image acquisition unit acquires odontobutis obscura movable behavior feature image data through an underwater monitoring lens; the odontobutis obscura spawning behavior characteristic image storage unit is used for storing odontobutis obscura spawning behavior characteristic image data; the data recognition algorithm is adopted to match the characteristic image data of the movable behavior of the odontobutis obscura with the characteristic image data of the spawning behavior of the odontobutis obscura, so that the characteristic image of the odontobutis obscura is analyzed and the data of the spawning behavior analysis result of the odontobutis obscurus is generated;
The pond water body water temperature monitoring and managing module comprises a pond water body space model generating unit, a pond water body space water temperature measuring point establishing unit, a pond water body water temperature measuring and executing unit, a pond water body water temperature parameter acquisition unit, a pond water body standard water temperature parameter storage unit and a pond water body abnormal water temperature analysis unit;
The pond water space model generation unit is used for collecting pond water space geographic model data through a three-dimensional laser scanner carried by the unmanned aerial vehicle; the pond water space water temperature measurement point establishing unit performs plane grid division on the surface of the pond water according to the pond water space geographic model data, establishes a space coordinate system, acquires the coordinates of intersection points of plane grid division on the surface of the pond water, and establishes the coordinates of intersection points of plane grid division on the surface of the pond water into the coordinates data of the pond water space water temperature measurement points; the water temperature measurement execution unit of the pond water body, the water temperature measurement equipment executes water temperature measurement operation on each water temperature measurement point of the pond water body according to the coordinate data of the water temperature measurement points of the pond water body space; the pond water temperature parameter acquisition unit is used for acquiring pond water temperature measurement point water temperature data through the temperature measurement sensor; the pond water body standard water temperature parameter storage unit is used for storing pond water body standard water temperature interval data; the water temperature analysis unit is used for comparing water temperature parameter values of water temperature measurement point water temperature data of the pond water body with standard water temperature interval data of the pond water body by adopting a data search algorithm, and identifying water temperature data of the water temperature measurement point of the pond water body, which do not belong to the standard water temperature interval data of the pond water body, so as to generate abnormal water temperature data of the water temperature measurement point of the pond water body;
The pond water temperature regulation management module comprises a pond water standard water temperature average metering unit, a pond water abnormal water temperature regulation quantity and regulation mode analysis unit and a pond water temperature regulation execution unit;
The pond water body standard water temperature average value measuring unit is used for measuring pond water body standard water temperature average value data according to pond water body standard water temperature interval data; the water temperature parameter difference processing is carried out on the water temperature parameter difference processing unit and the water temperature parameter difference processing unit, and the water temperature parameter difference processing unit is used for obtaining water temperature parameter difference processing result data; the water temperature adjusting and executing unit is used for executing water temperature adjusting operation on specific water temperature measuring points and water temperature adjusting and detecting operation according to abnormal water temperature adjusting quantity and adjusting mode data of the pond water body.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The method for managing the seedling culture based on the odontobutis obscura behavior data is characterized by comprising the following steps of:
S1, acquiring the movable behavior characteristic image data of odontobutis obscura;
S2, performing the behavior characteristic image matching of the odontobutis obscura moving behavior characteristic image data and the odontobutis obscura spawning behavior characteristic image data by adopting a data identification algorithm, and analyzing and generating odontobutis obscura spawning behavior analysis result data;
s3, collecting the space geographic model data of the pond water body when the analysis result data of the spawning behaviors of the odontobutis obscura are spawning; performing plane grid division on the surface of the pond water body according to the pond water body space geographic model data, establishing a space coordinate system, acquiring coordinates of plane grid division intersection points of the surface of the pond water body, and constructing the coordinates of the plane grid division intersection points of the surface of the pond water body into coordinates data of water temperature measurement points of the pond water body space;
S4, the water body temperature measuring equipment performs water temperature measuring operation on each water temperature measuring point of the pond water body according to the water temperature measuring point coordinate data of the pond water body space, and collects water temperature data of the water temperature measuring points of the pond water body;
s5, carrying out water temperature parameter numerical comparison on the water temperature measurement point water temperature data of the pond water body and the standard water temperature interval data of the pond water body by adopting a data search algorithm, and identifying the water temperature measurement point water temperature data of the pond water body which does not belong to the standard water temperature interval data of the pond water body to generate abnormal water temperature data of the water temperature measurement point of the pond water body;
S6, measuring out pond water body standard water temperature average value data according to the pond water body standard water temperature interval data; performing water temperature parameter difference processing on the standard water temperature average value data of the pond water body and the abnormal water temperature data of the water temperature measuring points of the pond water body, and constructing abnormal water temperature adjustment quantity and adjustment mode data of the pond water body according to the result data of the water temperature parameter difference processing;
and S7, the water body temperature regulating equipment executes water temperature regulating operation for specific water temperature measuring points according to the abnormal water temperature regulating quantity and regulating mode data of the pond water body, and when the water temperature regulating operation is completed, the steps S4, S5, S6 and S7 are repeatedly executed.
2. The odontobutis obscura behavior data-based seedling culture management method according to claim 1, characterized by comprising the steps of: the step S1 comprises the following steps:
S11, collecting behavior characteristic images of normal activities of the odontobutis obscura in the pond water body in the seedling culture stage through an underwater monitoring lens, and establishing an odontobutis obscura activity behavior characteristic image data set ，; Wherein/>Represents the acquisition of the/>Odontobutis minor activity behavior feature image data,/>And representing the maximum value of the acquired image data of the movable behavior characteristics of the odontobutis obscura, wherein the movable behavior characteristics of the odontobutis obscura comprise any one of foraging behavior characteristics, resting behavior characteristics and spawning behavior characteristics of the odontobutis obscura.
3. The odontobutis obscura behavior data-based seedling culture management method according to claim 2, characterized by comprising the steps of: the step S2 comprises the following steps:
s21, establishing an odontobutis obscura spawning behavior characteristic image data set ，; Wherein/>Represents the/>Odontobutis minor oviposition behavior characteristic image data,/>The method comprises the steps of representing the maximum value of the characteristic image data of the spawning behavior of the odontobutis obscurus, wherein the spawning behavior of the odontobutis obscurus represents the behavior of the odontobutis obscurus female fish to discharge fish eggs;
S22, adopting a data recognition algorithm to collect the movable behavior characteristic image data of the odontobutis obscura Odontobutis obscura activity behavior feature image data/>Characteristic image data set/>, of spawning behaviors with odontobutis obscuraOdontobutis obscura spawning behavior feature image data/>Performing the behavioral characteristic image matching of the odontobutis obscurus, wherein the specific operation steps of performing the behavioral characteristic image matching of the odontobutis obscurus by the data identification algorithm are as follows:
S221, initializing, namely defining relevant structural parameters as vectors, and collecting oviposition behavior characteristic image data of odontobutis obscura Constitution/>In the dimensional optimization problem, spawning behavior recognition sand cat is 1×/>, which represents the problem solutionArray, each variable valueAre all a floating point number, each/>Is a characteristic image data set of spawning behavior of odontobutis obscuraThe fitness of each spawning behavior recognition sand cat is obtained through a fitness function of the problem to be solved between a lower boundary and an upper boundary in the search space;
s222, searching hunting, wherein final parameters and main parameters for controlling the transition of exploration and development phases are When/>When >1, the spawning behavior recognition sand cat spawns behavior feature image data set/>, of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>The oviposition behavior recognition cat search process relies on the release of low frequency noise, assuming that the sensitivity range/>, of oviposition behavior recognition catFrom 0 to 2kHz,/>Representing inspiration from oviposition behavior recognition of auditory features of a sand cat,/>For the current iteration number,/>For the maximum number of iterations, rand (0, 1) represents a random number of 0 to 1;
，/> Wherein/> Representing a sensitivity vector;
identification of the position of the Saka from the best candidate for each spawning behavior And the current location/>And its sensitivity range/>Updating the position of the device, namely, the device is characterized by the oviposition behavior characteristic image data set/>, of the odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>Is a position of (2);
S223, attacking prey, when When the spawning behavior is less than or equal to 1, identifying the data of the characteristic image of the activity behavior of the odontobutis obscura by the marsupium behavior recognition marsupium, and/>Matched Odontobutis obscura spawning behavior feature image data/>By means of searching for the best candidate position/>And the current position/>Generating a random position, namely, generating a characteristic image data set/>, of spawning behaviors of odontobutis obscuraSearching the active behavior characteristic image data/>, of the odontobutis obscura, in the search spaceMatched Odontobutis obscura spawning behavior feature image data/>Assuming that the sensitivity range of the oviposition behavior recognition cat is a circle, randomly selecting an angle θ for each oviposition behavior recognition cat by using a roulette method;
S224, outputting the analysis result data of the oviposition behavior of the odontobutis obscurus when the search algorithm reaches the maximum iteration number, otherwise, continuing iteration until the maximum iteration number is met;
When (when) And/>If the matching is successful, the result data of the egg laying behavior analysis of the odontobutis obscurus is output as egg laying when the odontobutis obscurus in the pond water body has egg laying behaviors;
When (when) And/>If the matching is unsuccessful, the fact that the odontobutis obscurus in the pond water body does not have spawning behaviors is indicated, then the data of the spawning behavior analysis result of the odontobutis obscurus is output as not spawning, and the spawning behavior analysis operation of the odontobutis obscurus is ended.
4. The odontobutis obscura behavior data-based seedling culture management method according to claim 3, characterized in that: the step S3 comprises the following steps:
s31, when the analysis result data of the spawning behaviors of the odontobutis obscura is spawning, scanning and collecting a space geographic model of the odontobutis obscura pond water body through an unmanned aerial vehicle-mounted three-dimensional laser scanner to generate pond water body space geographic model data ；
S32, according to the pond water space geographic model dataAnd utilize side length as/>Carrying out plane grid division treatment on the surface of the pond water body by the square; establishing a space sphere coordinate system by taking an earth sphere as a coordinate system matrix, and obtaining the space geographic model data/>Coordinates of square intersection points in the space spherical coordinate system after plane meshing is performed on the corresponding pond water body surface;
s33, constructing coordinates of square intersection points obtained by carrying out plane meshing on the surface of the pond water body in the space spherical coordinate system as pond water body space water temperature measurement point coordinate data, and establishing a pond water body space water temperature measurement point coordinate data set ，/>; Wherein/>Represents the/>Coordinate data of water temperature measuring points of water space of pond/waterRepresents the maximum value of the number of water temperature measuring points in the water space of the pond,/>Wherein/>Represents the/>Longitude corresponding to the coordinate data of the water temperature measuring points in the water space of each pond; /(I)Represents the/>Latitude corresponding to the coordinate data of the water temperature measuring points in the water space of each pond; /(I)Represents the/>And measuring the corresponding height of the coordinate data of the water temperature measurement points in the water space of the pond.
5. The odontobutis obscura behavior data-based seedling culture management method according to claim 4, characterized in that: the step S4 comprises the following steps:
S41, the water body temperature measuring equipment measures the coordinate data set of the point according to the water body space water temperature of the pond Coordinate data/>, of water temperature measurement points of water space of middle pondThe water temperature measuring device comprises an unmanned ship carrying a temperature measuring sensor;
S42, collecting the water temperature of the pond water body corresponding to the specific water temperature measuring point in real time through a temperature measuring sensor and generating water temperature data of the water temperature measuring point of the pond water body 。
6. The odontobutis obscura behavior data-based seedling culture management method according to claim 5, characterized in that: the step S5 comprises the following steps:
S51, establishing standard water temperature interval data of pond water body Wherein/>Representing the minimum value of the standard water temperature interval data of the water body of the odontobutis obscurus seedling culture pond; /(I)Representing the maximum value of the standard water temperature interval data of the water body of the odontobutis obscurus seedling culture pond; /(I)，/>The units are all in the same degree centigrade;
S52, adopting an iterative deepening search algorithm to obtain water temperature data of water temperature measuring points of the pond water body Data of water temperature interval with standard water body of pond/>The water temperature parameter numerical value is compared with the standard water temperature interval data of the pond water body; when/>∈/>Coordinate data/>, representing water temperature measurement points of pond water spaceCorresponding pond water temperature measurement point water temperature data/>Meets the water temperature requirement of the standard for odontobutis obscura seedling culture, and the water body temperature measuring equipment performs/>, according to the coordinate data set of the water body space water temperature measuring points of the pondCoordinate data/>, of water temperature measurement points of water space of middle pondContinuously executing water temperature measurement operation of the next water temperature measurement point of the pond water body until the water temperature measurement operation of all the water temperature measurement points is completed;
When (when) Coordinate data/>, representing water temperature measurement points of pond water spaceCorresponding pond water temperature measurement point water temperature data/>If the water temperature does not meet the water temperature requirement of the standard seedling culture of odontobutis obscura, the water temperature measurement point water temperature data/>, of the pond water bodyIdentification generation of abnormal water temperature data/>, of water temperature measurement points of pond water body。
7. The odontobutis obscura behavior data-based seedling culture management method according to claim 6, characterized in that: the step S6 comprises the following steps:
s61, according to the standard water temperature interval data of the pond water body Calculating standard water temperature average value data/>, of pond water body by combining average value formula，/>The unit is DEG C;
S62, standard water temperature average value data of the pond water body Abnormal water temperature data of the water temperature measuring point of the pond water bodyPerforming water temperature parameter difference processing, and constructing abnormal water temperature adjustment quantity and adjustment mode data/>, of the pond water body, according to the result data of the water temperature parameter difference processingWherein/>，/>The unit is DEG C; /(I)Depending on/>Positive and negative values of (a);
When (when) > 0, Means/>＜/>And/>＜/>At this time, the coordinate data/>, of the water temperature measuring points in the space of the pond water bodyCorresponding pond water temperature measurement point water temperature data/>Data/>, which is smaller than standard water temperature interval of pond water bodyAt the moment, the coordinate data/>, of the water temperature measurement points of the space of the pond water body, are neededHeating up the water body at the corresponding water temperature measuring point;
When (when) < 0, Means/>＞/>And/>＞/>At this time, the coordinate data/>, of the water temperature measuring points in the space of the pond water bodyCorresponding pond water temperature measurement point water temperature data/>Data/> greater than standard water temperature interval of pond water bodyAt the moment, the coordinate data/>, of the water temperature measurement points of the space of the pond water body, are neededAnd cooling the water body at the corresponding water temperature measuring point.
8. The odontobutis obscura behavior data-based seedling culture management method according to claim 7, characterized in that: the step S7 comprises the following steps:
S71, the water body temperature regulating equipment regulates the quantity and the data of the regulating mode according to the abnormal water temperature of the pond water body Executing the coordinate data/>, of the water temperature measurement points of the space of the pond water bodyPerforming water temperature adjustment operation on the water body at the corresponding water temperature measuring point, wherein the water body temperature adjustment equipment comprises water body temperature increasing equipment and water body temperature reducing equipment;
S72, when the water temperature adjustment operation is completed, repeatedly executing the steps S42, S52, S62, S71 and S72 to coordinate data of water temperature measuring points of the pond water space And carrying out water temperature adjustment detection operation on the corresponding water temperature measuring point water body.
9. A system for implementing the odontobutis obscura behavior data-based seedling culture management method according to any one of claims 1 to 8, characterized in that: the system comprises an odontobutis obscura spawning behavior identification management module, a pond water body water temperature monitoring management module and a pond water body water temperature adjustment management module;
The odontobutis obscura spawning behavior recognition management module comprises an odontobutis obscura activity behavior feature image acquisition unit, an odontobutis obscura spawning behavior feature image storage unit and an odontobutis obscura spawning behavior analysis unit;
The odontobutis obscura movable behavior feature image acquisition unit acquires odontobutis obscura movable behavior feature image data through an underwater monitoring lens; the odontobutis obscura spawning behavior characteristic image storage unit is used for storing odontobutis obscura spawning behavior characteristic image data; the odontobutis obscura spawning behavior analysis unit is used for performing odontobutis obscura behavior feature image matching on the odontobutis obscura movable behavior feature image data and odontobutis obscura spawning behavior feature image data by adopting a data identification algorithm, and analyzing and generating odontobutis obscura spawning behavior analysis result data;
The pond water body water temperature monitoring and managing module comprises a pond water body space model generating unit, a pond water body space water temperature measuring point establishing unit, a pond water body water temperature measuring and executing unit, a pond water body water temperature parameter collecting unit, a pond water body standard water temperature parameter storing unit and a pond water body abnormal water temperature analyzing unit;
the pond water space model generation unit is used for collecting pond water space geographic model data through a three-dimensional laser scanner carried by the unmanned aerial vehicle; the pond water body space water temperature measurement point establishing unit performs plane grid division on the surface of the pond water body according to the pond water body space geographic model data, establishes a space coordinate system, acquires the coordinates of intersection points of plane grid division on the surface of the pond water body, and establishes the coordinates of intersection points of plane grid division on the surface of the pond water body as the coordinate data of the pond water body space water temperature measurement point; the water temperature measurement execution unit of the pond water body is used for executing water temperature measurement operation on each water temperature measurement point of the pond water body according to the coordinate data of the water temperature measurement points of the pond water body space; the pond water temperature parameter acquisition unit acquires water temperature data of pond water temperature measurement points through a temperature sensor; the pond water body standard water temperature parameter storage unit is used for storing pond water body standard water temperature interval data; the abnormal water temperature analysis unit of the pond water body adopts a data search algorithm to compare water temperature parameter values of the water temperature measurement point water temperature data of the pond water body with the standard water temperature interval data of the pond water body, and identifies the water temperature measurement point water temperature data of the pond water body which does not belong to the standard water temperature interval data of the pond water body to generate abnormal water temperature data of the pond water body;
The pond water temperature regulation management module comprises a pond water standard water temperature average metering unit, a pond water abnormal water temperature regulation quantity and regulation mode analysis unit and a pond water temperature regulation execution unit;
The pond water body standard water temperature average value measuring unit is used for measuring pond water body standard water temperature average value data according to the pond water body standard water temperature interval data; the pond water abnormal water temperature regulating quantity and regulating mode analyzing unit is used for carrying out difference processing on water temperature parameters on the pond water standard water temperature average value data and the pond water temperature measuring point abnormal water temperature data, and constructing pond water abnormal water temperature regulating quantity and regulating mode data according to the result data of the difference processing on the water temperature parameters; the water temperature adjusting and executing unit for the pond water body carries out water temperature adjusting operation for specific water temperature measuring points and water temperature adjusting and detecting operation according to the abnormal water temperature adjusting quantity and adjusting mode data of the pond water body.
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