Water sample collecting and monitoring structure, system and method for aquatic breeding and cultivation

Abstract

The invention belongs to the technical field of aquatic product breeding and cultivation, and particularly relates to a water sample collecting and monitoring structure, system and method for aquatic product breeding and cultivation, the water sample collecting and monitoring structure comprises a water quality monitoring chamber and a plurality of culture ponds, the culture ponds are communicated with the water quality monitoring chamber, and a sensor assembly is arranged in the water quality monitoring chamber. The water quality monitoring chamber is designed, the sensor assemblies are all placed in the water quality monitoring chamber, and water at different water sample collection points is selected through the water pump and the electric valve to enter the water quality monitoring chamber for measurement, so that each culture area does not need to be equipped with an expensive sensor assembly, and the hardware cost is reduced; compared with a mode of deploying the probe to each breeding area, the method is more economical and practical, the wiring is more uniform, the operation is not influenced, and the appearance is attractive; and in addition, breeding personnel can conveniently manage and maintain all the sensors, problems can be found and solved in time, and the breeding efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of aquatic breeding and culture, and particularly relates to a water sample collection and monitoring structure, system and method for aquatic breeding and culture. BACKGROUND

[0002] With the rapid development of aquaculture, the demand for water quality monitoring is increasing. Existing intelligent aquaculture often requires each breeding pond to be equipped with independent sensors, which will result in a large number of sensor requirements. As a kind of equipment, the manufacturing cost of sensors is relatively high, especially for some high-quality and high-performance sensors, the price is even more expensive, which will cause the construction cost of the entire aquaculture system to rise sharply. For breeders, it is a difficult task to maintain and manage a large number of sensors, which not only consumes a lot of manpower and material resources, but also increases the difficulty and risk of management. In addition, the existing aquaculture often directly deploys sensors in the water, which is not only troublesome to clean and maintain, but also will cause a large error in data measurement if not cleaned in time, losing the significance of monitoring. Unlike industrial water quality monitoring, there is a large amount of organic matter in aquatic water, just like an egg scattered on the windshield of a car, which is more difficult to clean than inorganic matter. Therefore, it is a feasible solution to place expensive sensors in the water quality monitoring room for unified polling detection, which can control the cost while meeting the demand for water quality monitoring.

[0003] In view of this, the present application is proposed. SUMMARY

[0004] The present application aims to provide a water sample collection and monitoring structure, system and method for aquatic breeding and culture, and the specific solutions are as follows:

[0005] A water sample collection and monitoring structure for aquatic breeding and culture, comprising a water quality monitoring room and a plurality of breeding ponds, the plurality of breeding ponds being communicated with the water quality monitoring room, and a sensor assembly being arranged in the water quality monitoring room.

[0006] The sensor assembly comprises one or more of a temperature sensor, a dissolved oxygen sensor, a pH sensor, an ammonia nitrogen sensor, a hardness sensor, a turbidity sensor, a suspended matter sensor, a conductivity sensor, a nitrate nitrogen sensor, a sodium hypochlorite sensor, a COD sensor, a residual chlorine sensor, a total chlorine sensor or an ORP sensor.

[0007] The water sample collection and monitoring structure for aquatic breeding and culture further comprises a water storage tank, which is communicated with the water quality monitoring room and the plurality of breeding ponds respectively.

[0008] A water pump and an electric valve are arranged between the water quality monitoring room and the breeding ponds.

[0009] A water surface camera and an underwater camera are arranged in the breeding pond.

[0010] A water sample collection and monitoring system for aquatic breeding and aquaculture, comprising a sensor module, a water sample collection module, a data processing module and a feedback module;

[0011] The sensor module is used to monitor the main parameters of water quality in real time.

[0012] The water sample collection module is used to collect water samples at preset time intervals or according to changes in water quality parameters.

[0013] The data processing module is used to process and analyze the collected water quality data.

[0014] The feedback module is used to feed back the processed data to the user through a visual interface or a push message, and to issue a warning signal to feedback the abnormal situation of the user's water quality parameters.

[0015] The water sample collection and monitoring system for aquatic breeding and aquaculture further comprises a feeding module, which is used to automatically adjust the type, feeding amount and feeding time of feed according to the growth stage, nutritional requirements, quantity and growth status of aquatic organisms.

[0016] A water sample collection and monitoring method for aquatic breeding and aquaculture, comprising the following steps:

[0017] (1) Water quality detection

[0018] a: The water source in the water storage tank is connected to the water quality monitoring chamber, and the main parameters of water quality are detected by the sensor assembly;

[0019] b: The water bodies in different breeding ponds are connected to the water quality monitoring chamber, and the main parameters of water quality are detected by the sensor assembly;

[0020] (2) Data processing

[0021] The system judges and calculates the factors affecting the survival of aquatic organisms in the current environment based on the information fed back by the sensor assembly; for the collected data, the system feeds back in the form of data table and curve graph, and synchronously stores, queries and compares, to facilitate the breeder to make judgment;

[0022] (3) Data application

[0023] The main parameters detected by the sensor assembly and the graphics obtained after data processing are periodically analyzed and evaluated to ensure the stability of the water quality in the breeding pond.

[0024] The measurement value of the sensor assembly adopts Kalman control algorithm; the measurement accuracy of the sensor assembly adopts proportional integral differential control method.

[0025] The beneficial effects of the present application are as follows:

[0026] (1) by designing water quality monitoring room, and the sensor components are all placed in the water quality monitoring room, and then the water of different water sample collection points is selected into the water quality monitoring room by the water pump and the electric valve to measure, so that expensive sensor components do not need to be equipped for each breeding area, the hardware cost is reduced, and it is more economical and practical than deploying the probe to each breeding area, the wiring is more neat and uniform, the operation is not affected, and the appearance is also beautiful; and the breeding personnel can conveniently manage and maintain each sensor, find and solve problems in time, and improve the breeding efficiency;

[0027] (2) In order to improve the measurement accuracy of the water quality sensor component, the proportional integral differential control method is adopted to perform closed-loop control on the measured water flow rate, so that the water flow tends to be stable, and the measurement accuracy is improved; the Kalman state estimation algorithm is used for the sensor measurement value, so that the measurement value is closer to the true value;

[0028] (3) The application analyzes the historical data by setting the collection and monitoring system, can help the breeder to understand the water quality trend, provides the basis for decision-making; the early warning function can effectively prevent potential risks; the user can also check the water quality data at any time through the mobile device, which is convenient for remote management. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 is a framework diagram of a water sample collection and monitoring structure for aquaculture and breeding in the application;

[0030] Among them, the number 1 is a water quality monitoring room, 2 is a breeding pond, and 3 is a water storage tank. DETAILED DESCRIPTION

[0031] The application will be further described in detail below by combining the embodiments with the drawings. In the following embodiments, many details are described in order to make the application better understood. However, those skilled in the art can easily recognize that some features can be omitted in different cases, or can be replaced by other materials or methods. In some cases, some operations related to the application are not shown or described in the specification in order to avoid the core part of the application being overwhelmed by too much description, and it is not necessary to describe these related operations in detail for those skilled in the art according to the description in the specification and the general technical knowledge in the art.

[0032] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0033] like Figure 1 As shown, a water sampling and monitoring structure for aquaculture breeding and farming includes a water quality monitoring room 1 and several aquaculture ponds 2. The aquaculture ponds 2 are connected to the water quality monitoring room 1, and the water quality monitoring room 1 is equipped with sensor components. The sensor components include one or more of the following sensors: temperature sensor, dissolved oxygen sensor, pH sensor, ammonia nitrogen sensor, hardness sensor, turbidity sensor, suspended solids sensor, conductivity sensor, nitrate nitrogen sensor, sodium hypochlorite sensor, COD sensor, residual chlorine sensor, total chlorine sensor, or ORP sensor. The sensors and other equipment deployed in the water quality monitoring room require regular maintenance and management. This includes checking the operating status of the equipment, calibrating sensors, and replacing damaged equipment. Simultaneously, the measurement data needs to be analyzed and evaluated regularly to ensure water quality stability and compliance with aquaculture requirements. Furthermore, the sensor components can share power supplies, data transmission modules, and other accessories, reducing overall costs, better utilizing resources, and improving economic efficiency. The water quality monitoring room generally uses standardized interfaces and protocols, allowing for easy addition or reduction of the number of sensors and replacement with different types of sensors, facilitating expansion and upgrades.

[0034] The aquaculture breeding and aquaculture water sampling and monitoring structure also includes a water storage tank 3, which is connected to the water quality monitoring room 1 and several aquaculture ponds 2. One side of the water storage tank 3 receives flowing water from a water source. Each aquaculture pond 2 is equipped with an outlet structure to promptly discharge substandard aquaculture water, and then input compliant water from the water storage tank 3. The water in the water storage tank 3 must first pass through the water quality monitoring room 1 to ensure it meets standards before being introduced into the aquaculture ponds 2. A water pump and electric valve are installed between the water quality monitoring room 1 and the aquaculture ponds 2 to effectively collect water samples and transport them to the water quality monitoring room 1 at regular intervals. The aquaculture ponds 2 are equipped with surface cameras and underwater cameras. During installation, the signal coverage of the installation location, as well as the shape and size of the aquaculture area, must be considered to ensure that the captured images cover the entire aquaculture area and have sufficient clarity for accurate monitoring of aquatic organisms' feeding behavior.

[0035] The application discloses a water sample collection and monitoring system for aquatic breeding and culture, which comprises a sensor module, a water sample collection module, a data processing module and a feedback module; the sensor module is used for monitoring main parameters of water quality in real time; the water sample collection module is used for collecting water samples at preset time intervals or according to changes in water quality parameters; the data processing module is used for processing and analyzing collected water quality data, that is, judging information fed back by various sensors to obtain factors affecting survival of aquatic organisms in the current environment; the system can feed back the collected data in the form of data tables and curve graphs, and simultaneously store, query and compare the data, so as to facilitate breeders to make judgments; the feedback module is used for feeding back the processed data to users through a visual interface or a push message mode, and simultaneously feeding back an early warning signal to the users to inform the users of abnormal conditions of water quality parameters.

[0036] The application discloses a water sample collection and monitoring method for aquatic breeding and culture, which comprises the following steps:

[0037] (1) Water quality detection

[0038] a: water source in the water storage tank 3 is introduced into the water quality monitoring chamber 1, and main parameters of water quality are detected through the sensor assembly;

[0039] b: water bodies in different culture ponds 2 are introduced into the water quality monitoring chamber 1 respectively, and main parameters of water quality are detected through the sensor assembly;

[0040] The main parameters include temperature, dissolved oxygen, pH, ammonia nitrogen, hardness, turbidity, suspended solids, conductivity, nitrate nitrogen, sodium hypochlorite, COD, residual chlorine, total chlorine, ORP and the like;

[0041] (2) Data processing

[0042] The system judges and calculates information fed back by the sensor assembly to obtain factors affecting survival of aquatic organisms in the current environment; the system feeds back collected data in the form of data tables and curve graphs, and simultaneously stores, queries and compares the data, so as to facilitate breeders to make judgments;

[0043] (3) Data application

[0044] Main parameters detected by the sensor assembly and graphics and texts obtained after data processing are periodically analyzed and evaluated, so as to ensure stability of water quality in the culture pond 2 and meet culture requirements, and also facilitate understanding of growth stages and specific nutritional requirements, quantity and growth conditions of aquatic organisms, and automatic adjustment of types, feeding amount and feeding time of feed by the system.

[0045] The measurement of the sensor assembly adopts Kalman control algorithm; the measurement accuracy of the sensor assembly adopts proportional integral differential control method.

[0046] The Kalman control algorithm is as follows:

[0047] For the state estimation algorithm, three values of state quantity are required: the sensor predicted value (X k - ), the sensor optimal estimation value (X and the sensor true value (X k ), the principle of Kalman filtering is to correct the state predicted value by using Kalman gain to make it approximate to the true value.

[0048] In order to make it easy to understand, the derivation process of Kalman filtering is divided into two steps: the first step is the derivation of the state estimation covariance P k , that is, the derivation of the cost function; the second step is the derivation of the Kalman gain matrix and other criteria.

[0049] Before the derivation of the state estimation covariance P k , several representations of the system state matrix in the state estimation algorithm are introduced:

[0050] X k is the true value of the sensor;

[0051] is the predicted value of the sensor, also known as the prior state estimation value;

[0052] is the optimal estimation value of the sensor, also known as the a posteriori state estimation value;

[0053] The sensor predicted value can be obtained from the state prediction equation: Golden Rule 1

[0054]

[0055] The sensor optimal estimation value can be obtained from the state update equation: Golden Rule 2

[0056]

[0057] From the equation, it can be seen that the Kalman gain K actually represents the proportion of the predicted error and the measurement error in the state optimal estimation process (as shown below), that is, K ∈ [0, 1]. When K = 0, that is, the predicted error is 0, the state value of the system completely depends on the predicted value And when K = 1, that is, the measurement error is 0, the state value of the system completely depends on the measurement value.

[0058] K = Predicted error / (Predicted error+Measurement error)

[0059] Therefore, let:

[0060]

[0061]

[0062]

[0063]

[0064] Wherein:

[0065] is the prior state error;

[0066] e k is the posterior state error;

[0067] is the covariance between the true value and the predicted value;

[0068] P k is the covariance between the true value and the optimal estimation value;

[0069] From equations (2) and (4), it can be seen that

[0070]

[0071]

[0072] The transformed equation is

[0073]

[0074] From equations (3) and (4), it can be seen that

[0075]

[0076] Therefore, from equation (6), the estimation error variance matrix P k is:

[0077]

[0078] Unfold the known:

[0079]

[0080] State variables:

[0081] The estimation principle of Kalman filter is to make the covariance P k of the optimal state estimation minimum, so that it is more and more close to the true value. Therefore, the objective function is:

[0082] J = ∑ min P k -----------------------(13)

[0083] The partial derivative of Kalman gain matrix K is not difficult to know:

[0084]

[0085] Therefore, the Kalman gain matrix K under the condition of optimal estimation is

[0086]

[0087] The simultaneous equations (9) (12) can know that the estimation error variance matrix is

[0088]

[0089] The last one of the fifth golden rule is the state estimation covariance From equation (3), we know:

[0090] Simplify:

[0091] From equation (5), we know:

[0092]

[0093]

[0094] From equation (18), it is not difficult to know that the prediction covariance matrix is: the fifth golden rule

[0095]

[0096] The proportional integral derivative control algorithm is as follows:

[0097] u(t) = Kp * e(t) + Ki * ∫e(t)dt + Kd * de(t) / dt.

[0098] Proportional-Integral-Derivative control algorithm description:

[0099] u(t) is the output value of the controller to control the frequency converter parameters;

[0100] e(t) is the current error value, the difference between the current measured water flow and the set water flow;

[0101] Kp, Ki, Kd are the proportional, integral, and derivative set parameters;

[0102] ∫e(t)dt is the integral value of the error;

[0103] de(t) / dt is the derivative value of the error.

[0104] Proportional (P) part:

[0105] P = Kp * e(t)

[0106] where Kp is the proportional parameter and e(t) is the current error value.

[0107] Integral (I) part:

[0108] I = Ki * ∫e(t)dt

[0109] where Ki is the integral parameter and ∫e(t)dt is the integral value of the error.

[0110] Derivative (D) part:

[0111] D = Kd * de(t) / dt

[0112] where Kd is the derivative parameter and de(t) / dt is the derivative value of the error.

[0113] The final output value of the controller is:

[0114] u(t) = P + I + D

[0115] where P, I, and D are the output values of the proportional, integral, and derivative parts, respectively.

[0116] It should be noted that one of the water sample collection points should be set near the water quality monitoring room to ensure that the collected water sample can accurately reflect the situation of the water quality of the aquaculture; one water sample collection point should be set in a place where there is more suspended matter, because the suspended matter will affect the water quality; one water sample collection point should be set in a place where the water temperature is relatively stable and changes little, so as to avoid the influence of water temperature change on the water quality; one water sample collection point should be set near the pollution source, so as to avoid the influence of the pollution source on the water quality; the water quality at different water depths needs to be monitored and sampled, and a large amount of pollutants such as residual feed and excrement of cultured organisms are deposited at the bottom of the culture pond, so the bottom water is darker and the water quality is worse than the upper water; one water sample collection point should be set near the migration channel of the migratory birds, and some migratory birds may fly to this water area to drink water or wash, which may carry chemical substances, pathogens and other substances from one place to another, and may carry various diseases such as avian influenza.

[0117] The application designs a water quality monitoring room 1, and places all sensor assemblies in the water quality monitoring room 1, and then selects water from different water sample collection points to enter the water quality monitoring room 1 for measurement through a water pump and an electric valve, so that expensive sensor assemblies do not need to be equipped in each culture area, the hardware cost is reduced, and it is more economical and practical than deploying a probe to each culture area, the wiring is more neat and uniform, the operation is not affected, and the appearance is beautiful; and the aquaculture personnel can conveniently manage and maintain each sensor, discover and solve problems in time, and improve the aquaculture efficiency; the application analyzes historical data through the collection and monitoring system, can help the aquaculture personnel understand the water quality trend, provide a basis for decision-making, the early warning function can effectively prevent potential risks, and the user can also check the water quality data at any time through a mobile device, so that remote management is convenient.

[0118] The above is a further detailed description of the technical solutions provided in combination with the preferred embodiments of the present patent, and cannot be regarded as a limitation of the specific implementation of the present patent to the above description. For ordinary skilled persons in the technical field to which the present patent belongs, some simple deductions or replacements can be made without departing from the concept of the present patent, and all of them should be regarded as falling within the protection scope of the present patent.

Claims

1. A structure for collecting and monitoring water samples in aquaculture breeding and farming, characterized in that: It includes a water quality monitoring room and several aquaculture ponds, with the aquaculture ponds connected to the water quality monitoring room, and the water quality monitoring room is equipped with sensor components.

2. The aquatic breeding and aquaculture water sampling and monitoring structure as described in claim 1, characterized in that: The sensor assembly includes one or more of the following: temperature sensor, dissolved oxygen sensor, pH sensor, ammonia nitrogen, hardness, turbidity, suspended solids, conductivity, nitrate nitrogen, sodium hypochlorite, COD, residual chlorine, total chlorine, or ORP sensor.

3. The aquatic breeding and aquaculture water sampling and monitoring structure as described in claim 1, characterized in that: It also includes water storage tanks, which are connected to the water quality monitoring room and several aquaculture ponds.

4. The aquatic breeding and aquaculture water sampling and monitoring structure as described in claim 1, characterized in that: A water pump and an electric valve are installed between the water quality monitoring room and the aquaculture pond.

5. The aquatic breeding and aquaculture water sampling and monitoring structure as described in claim 1, characterized in that: The aquaculture pond is equipped with surface cameras and underwater cameras.

6. A system for collecting and monitoring water samples for aquaculture breeding and farming, characterized in that: It includes a sensor module, a water sample acquisition module, a data processing module, and a feedback module; The sensor module is used to monitor the main parameters of water quality in real time. The water sample collection module is used to collect water samples at preset time intervals or according to changes in water quality parameters. The data processing module is used to process and analyze the collected water quality data; The feedback module is used to provide the processed data to the user through a visual interface or push message, and to issue early warning signals to report abnormal water quality parameters to the user.

7. The aquatic breeding and aquaculture water sampling and monitoring system as described in claim 6, characterized in that: It includes a feeding module, which is used to automatically adjust the type, amount and time of feed according to the growth stage, nutritional needs, quantity and growth status of aquatic organisms.

8. A method for collecting and monitoring water samples in aquaculture and breeding, characterized in that, Includes the following steps: (1) Water quality testing a: The water source in the storage tank is fed into the water quality monitoring room, and the main parameters of the water quality are detected by sensor components; b: Water from different aquaculture ponds is fed into a water quality monitoring room, and the main parameters of the water quality are detected by sensor components; (2) Data processing The system analyzes and calculates the information fed back from the sensor components to determine the factors affecting the survival of aquatic organisms in the current environment. The system provides feedback on the collected data in the form of data tables and graphs, and simultaneously stores, queries, and compares the data to facilitate the judgment of aquaculture farmers. (3) Data application Regularly analyze and evaluate the main parameters detected by the sensor components and the resulting graphics and graphs after data processing to ensure the stability of water quality in the aquaculture ponds.

9. The method for collecting and monitoring water samples for aquaculture and breeding as described in claim 8, characterized in that: The sensor assembly measures values ​​using a Kalman control algorithm; the sensor assembly's measurement accuracy is achieved using a proportional-integral-derivative (PID) control method.

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