Intelligent monitoring and early warning system for aquaculture in rice field

Abstract

The invention discloses an intelligent monitoring and early warning system for paddy field aquaculture, and relates to the technical field of paddy field aquaculture. The rice field aquaculture intelligent monitoring and early warning system comprises a sampling module, a data sampling module, a current state judgment module, a state trend judgment module, a comprehensive state judgment module and an alarm module. The method comprises the steps of setting a water quality parameter, judging the water quality state of current aquaculture water according to a set threshold value, generating a state alarm signal when any water quality parameter exceeds the threshold value, classifying the state alarm signal into different alarm grades, generating a corresponding alarm grade signal according to the alarm grade degree, and responding to the alarm grade signal to perform alarm operation of different degrees. And calculating a basic state index Si and a change state index Ci of the current aquaculture water, and further determining a real-time state index Ri for representing the current pollution state of the aquaculture water.

Description

Technical Field

[0001] The present invention relates to the technical field of paddy field aquaculture, and in particular to an intelligent monitoring and early warning system for paddy field aquaculture. Background Art

[0002] Integrated rice farming is an agricultural production model that organically combines rice planting with aquatic or waterfowl farming, which can effectively improve resource utilization and rice field output efficiency. In the process of rice field aquaculture, in order to ensure the growth rate and quality of aquatic products, the water quality of aquaculture water is required to be high. In the existing technology, aquaculture water is usually sampled and tested to obtain relevant parameter values ​​for water quality evaluation, and then compared with the set reasonable threshold of parameters to achieve water quality monitoring and early warning of aquaculture water.

[0003] However, in the actual production process, the deterioration rate of aquaculture water is not only affected by the content of each water quality parameter, but also by its changing trend. Using a fixed parameter preset threshold range as the water quality judgment standard often cannot reflect the real impact of water quality evaluation index parameters on aquaculture water and aquaculture. The intelligent level of monitoring is low, especially when multiple influencing factors are superimposed, it is difficult to make a scientific and accurate judgment on aquaculture water quality. To this end, we propose an intelligent monitoring and early warning system for rice field aquaculture. Summary of the invention

[0004] The main purpose of the present invention is to provide an intelligent monitoring and early warning system for rice field aquaculture, which can effectively solve the problems in the background technology.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] An intelligent monitoring and early warning system for rice field aquaculture, comprising:

[0007] The sampling module is used to sample the aquaculture water in the aquaculture area and obtain water quality samples;

[0008] A data sampling module, used to measure various water quality parameters in the acquired water quality sample, wherein the water quality parameters include at least one of oxygen content, ammonia nitrogen content, nitrite content, phosphate content, pH value, and turbidity;

[0009] The current state determination module is used to set the threshold of each water quality parameter, and determine the water quality state of the current aquaculture water according to the set threshold, and generate a state alarm signal when any of the water quality parameters exceeds the threshold; it is also used to calculate the basic state index Si of the current aquaculture water according to the sampled value of the water quality parameter; the calculation formula of the basic state index is: In the formula, Rv iExpressed as the sampling value of the i-th water quality parameter; qt i Expressed as the threshold of the i-th water quality parameter; θ i It is expressed as the influence of the i-th water quality parameter on the aquaculture water quality; and 0<θ i <1, α i is the state coefficient of the i-th water quality parameter, and α i =0 or α i =1; n represents the type of water quality parameter;

[0010] α i The value principle is:

[0011] When the i-th water quality parameter is a positively affecting water quality parameter type:

[0012] If Rv i ≤qt i , then α i =0;

[0013] If Rv i >qt i When α i =1;

[0014] When the i-th water quality parameter is a negative impact water quality parameter type:

[0015] If Rv i ≤qt i , then α i =1;

[0016] If Rv i >qt i When α i =0;

[0017] The state trend determination module is used to calculate the change state index Ci of the current aquaculture water according to the sampled values ​​of the water quality parameters; it is also used to classify the state alarm signal into different alarm levels including prompt alarm, warning alarm, minor alarm, and severe alarm according to the sampled values ​​of the water quality parameters, and generate a corresponding alarm level signal according to the alarm level; the calculation formula of the change state index Ci is: In the formula, Rv it It is expressed as the tth sampling value of the i-th water quality parameter within the sampling period T; Rv it+1 It is represented by the t+1th sampling value of the i-th water quality parameter in the sampling period T; β i is the coefficient of variation of the i-th water quality parameter, and β i =1 or β i =-1; T is the sampling period;

[0018] βi The value principle is:

[0019] When the i-th water quality parameter is a positively affecting water quality parameter type:

[0020] like Then β i =1;

[0021] like Then β i = -1;

[0022] When the i-th water quality parameter is a negative impact water quality parameter type:

[0023] like Then β i = -1;

[0024] like Then β i =1;

[0025] A comprehensive state determination module is used to calculate and determine a real-time state index Ri for characterizing the current pollution state of aquaculture water according to the acquired basic state index and the change state index; the calculation formula of the real-time state index Ri is: Ri=Si+Ci, wherein the smaller the real-time state index is, the more serious the current pollution state of aquaculture water is;

[0026] An alarm module, used to respond to the alarm level signal and perform alarm operations of different degrees according to the alarm level signal;

[0027] The steps for classifying alarm levels are as follows:

[0028] According to the sampled values ​​of water quality parameters, the state trend judgment function f(Rv i ),in,

[0029] When the i-th water quality parameter is a positive water quality parameter type, the function expression is:

[0030]

[0031] When the i-th water quality parameter is a negatively impacting water quality parameter type, the function expression is:

[0032]

[0033] In the formula, Rv i(t-k) It is expressed as the kth sampling value of the i-th water quality parameter before the t-th sampling value within the sampling period T; Rv i(t-k-1)It is represented by the k-1th sampling value of the i-th water quality parameter before the t-th sampling value within the sampling period T; K is represented by the number of sampling times of the i-th water quality parameter before the t-th sampling value within the sampling period T;

[0034] According to the state trend judgment function f(Rv i ) is used to classify the status alarm signal, and the classification principle is:

[0035] When f(Rv i ) = 1, the status alarm signal is classified as a serious alarm;

[0036] When f(Rv i ) = 2, the status alarm signal is classified as a minor alarm;

[0037] When f(Rv i ) = 3, the status alarm signal is classified as a warning alarm;

[0038] When f(Rv i ) = 4, the status alarm signal is classified as a prompt alarm;

[0039] The positively affecting water quality parameter is a type of water quality parameter whose water quality state for aquaculture water becomes better as the water quality parameter value increases; the negatively affecting water quality parameter is a type of water quality parameter whose water quality state for aquaculture water becomes worse as the water quality parameter value increases.

[0040] The alarm operation is classified into level 1 alarm, level 2 alarm, level 3 alarm, and level 4 alarm according to the severity.

[0041] When the status alarm signal is classified as a prompt alarm, a first-level alarm is issued;

[0042] When the status alarm signal is classified as a warning alarm, a second-level alarm is issued;

[0043] When the status alarm signal is classified as a minor alarm, a third-level alarm is issued;

[0044] When the status alarm signal is classified as a severe alarm, a level 4 alarm is issued.

[0045] The present invention has the following beneficial effects:

[0046] Compared with the prior art, the invention measures various water quality parameters in water quality samples of aquaculture water in aquaculture areas, and determines the water quality status of the current aquaculture water according to a set threshold value. When any of the water quality parameters exceeds the threshold value, a status alarm signal is generated, and the status alarm signal is classified into different alarm levels including prompt alarm, warning alarm, minor alarm, and severe alarm. A corresponding alarm level signal is generated according to the alarm level, and alarm operations of different degrees are performed in response to the alarm level signal. The basic state index Si and the change state index Ci of the current aquaculture water are calculated according to the sampled values ​​of the water quality parameters. According to the obtained basic state index and change state index, the real-time state index Ri used to characterize the current pollution state of the aquaculture water is calculated and determined. Not only the water quality status of the current aquaculture water can be quantitatively evaluated, but also the change trend state of the water quality parameters can be quantitatively evaluated, thereby improving the intelligent degree of monitoring and making scientific and accurate judgments on the water quality of the aquaculture water in the aquaculture area. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a structural diagram of an intelligent monitoring and early warning system for rice field aquaculture according to the present invention;

[0048] Figure 2 This is a flowchart of the implementation process of an intelligent monitoring and early warning system for rice field aquaculture according to the present invention;

[0049] Figure 3 Set up a schematic diagram for the location of rice field farming areas.

[0050] In the figure: Ⅰ, water inlet of rice field; Ⅱ, water outlet of rice field; Ⅲ, ring ditch of rice field. DETAILED DESCRIPTION

[0051] The present invention will be further described below in conjunction with specific implementation methods, wherein the accompanying drawings are only used for exemplary descriptions and represent only schematic diagrams rather than actual drawings, and should not be understood as limiting the present invention. In order to better illustrate the specific implementation methods of the present invention, some parts of the accompanying drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product.

[0052] The specific implementation process of the technical solution of the present invention includes the following steps:

[0053] Step 1: Sample the aquaculture water in the aquaculture area through the sampling module to obtain water quality samples;

[0054] Generally, the rice field farming area is set up as follows Figure 3 As shown in the figure, when carrying out sampling operations, sampling points should be set at different locations in the breeding area, including the rice field water inlet Ⅰ, the rice field water outlet Ⅱ, the middle position, the rice field ring ditch Ⅲ, etc.

[0055] Step 2: Determine various water quality parameters in the acquired water quality samples through the data sampling module;

[0056] Among them, water quality parameters include at least one of oxygen content, ammonia nitrogen content, nitrite content, phosphate content, pH value, and turbidity; and the water quality parameters are classified into two categories, namely, parameters that positively affect water quality and parameters that negatively affect water quality. Among them, the water quality parameters that positively affect water quality are the type of water quality parameters whose water quality state for aquaculture water becomes better as the water quality parameter value increases, such as oxygen content; the water quality parameters that negatively affect water quality are the type of water quality parameters whose water quality state for aquaculture water becomes worse as the water quality parameter value increases, including ammonia nitrogen content, nitrite content, phosphate content, and turbidity; for pH value, the pH value of aquaculture water is generally required to be between 6.5 and 8.5 as the optimal range. Therefore, it can be classified according to whether it reaches the optimal range. When the pH sampling value is less than 6.5, it is classified as a parameter that positively affects water quality, and when the pH sampling value is greater than 8.5, it is classified as a parameter that negatively affects water quality.

[0057] Step 3: Set the thresholds of various water quality parameters through the current state judgment module, and judge the water quality state of the current aquaculture water according to the set thresholds, and generate a state alarm signal when any water quality parameter exceeds the threshold;

[0058] Step 4: The state trend determination module classifies the state alarm signal into different alarm levels including prompt alarm, warning alarm, minor alarm, and severe alarm according to the sampling values ​​of the water quality parameters, and generates a corresponding alarm level signal according to the alarm level;

[0059] The steps for classifying alarm levels are as follows:

[0060] Step 41: Construct the state trend determination function f(Rv) of the i-th water quality parameter according to the sampled values ​​of the water quality parameters obtained. i ),in,

[0061] When the i-th water quality parameter is a positive water quality parameter type, the function expression is:

[0062]

[0063] When the i-th water quality parameter is a negatively impacting water quality parameter type, the function expression is:

[0064]

[0065] In the formula, Rv i(t-k) It is expressed as the kth sampling value of the i-th water quality parameter before the t-th sampling value within the sampling period T; Rv i(t-k-1)It is represented by the k-1th sampling value of the i-th water quality parameter before the t-th sampling value within the sampling period T; K is represented by the number of sampling times of the i-th water quality parameter before the t-th sampling value within the sampling period T;

[0066] It should be noted that when the i-th water quality parameter is a positively affecting water quality parameter type:

[0067] If f(Rv i )=1, it means that the i-th water quality parameter is less than the set threshold and shows a further downward trend within the sampling period T;

[0068] If f(Rv i )=2, it means that the i-th water quality parameter is less than the set threshold and remains stable within the sampling period T without significant changes;

[0069] If f(Rv i )=3, it means that the i-th water quality parameter is less than the set threshold value and changes in an upward trend within the sampling period T, that is, it is favorable for the direction of water quality change, but the rate of change of the upward trend is not obvious;

[0070] If f(Rv i )=4, it means that the i-th water quality parameter is less than the set threshold value, and changes in an upward trend within the sampling period T, and the rate of change of the upward trend is obvious; it can reach the set reasonable threshold range in a short time;

[0071] Similarly, when the i-th water quality parameter is a negatively impacting water quality parameter type:

[0072] If f(Rv i )=1, it means that the i-th water quality parameter is greater than the set threshold and shows an upward trend within the sampling period T;

[0073] If f(Rv i )=2, it means that the i-th water quality parameter is greater than the set threshold and remains stable within the sampling period T without significant changes;

[0074] If f(Rv i )=3, it means that the i-th water quality parameter is greater than the set threshold value and changes in a downward trend within the sampling period T, that is, the direction of the change is favorable to the water quality, but the rate of change of the downward trend is not obvious;

[0075] If f(Rv i )=4, it means that the i-th water quality parameter is greater than the set threshold value, and changes in a downward trend within the sampling period T, and the rate of change of the downward trend is obvious; it can reach the set reasonable threshold range in a short time;

[0076] Step 42: Determine the function f(Rv according to the state trend i) value results to classify the status alarm signals, and the classification principles are as follows:

[0077] When f(Rv i ) = 1, the status alarm signal is classified as a serious alarm;

[0078] When f(Rv i ) = 2, the status alarm signal is classified as a minor alarm;

[0079] When f(Rv i ) = 3, the status alarm signal is classified as a warning alarm;

[0080] When f(Rv i )=4, the status alarm signal is classified as a prompt alarm.

[0081] Step 5: Respond to the alarm level signal through the alarm module, and perform different levels of alarm operations according to the alarm level signal; the alarm operations are classified into level 1 alarm, level 2 alarm, level 3 alarm, and level 4 alarm according to the degree, among which,

[0082] When the status alarm signal is classified as a prompt alarm, a level 1 alarm is issued;

[0083] When the status alarm signal is classified as a warning alarm, a second-level alarm is issued;

[0084] When the status alarm signal is classified as a minor alarm, a third-level alarm is issued;

[0085] When the status alarm signal is classified as a severe alarm, a level 4 alarm is issued

[0086] In the actual implementation process, different alarm lights can be set to perform different degrees of alarm operations. For example, four alarm lights, green, blue, yellow and red, can be set to correspond to the alarm operation levels of level one alarm, level two alarm, level three alarm and level four alarm. When a level one alarm is required, the alarm light color is green. Similarly, when a level two alarm is required, the alarm light color is blue. When a level three alarm is required, the alarm light color is yellow. When a level four alarm is required, the alarm light color is red.

[0087] In addition, different music types or frequencies can be set to correspond to different degrees of alarm operations. The principle is the same as above and will not be repeated here.

[0088] Step 6: Calculate the basic state index Si of the current aquaculture water according to the sampling values ​​of the water quality parameters; the calculation formula of the basic state index is: In the formula, Rv i Expressed as the sampling value of the i-th water quality parameter; qt i Expressed as the threshold of the i-th water quality parameter; θ iIt is expressed as the influence of the i-th water quality parameter on the aquaculture water quality; and 0<θ i <1, α i is the state coefficient of the i-th water quality parameter, and α i =0 or α i =1; n represents the type of water quality parameter;

[0089] α i The value principle is:

[0090] When the i-th water quality parameter is a positively affecting water quality parameter type:

[0091] If Rv i ≤qt i , it means that the i-th water quality parameter does not meet the water quality requirements, then α i =0;

[0092] If Rv i >qt i When , it means that the i-th water quality parameter meets the water quality requirements, then α i =1;

[0093] When the i-th water quality parameter is a negative impact water quality parameter type:

[0094] If Rv i ≤qt i , it means that the i-th water quality parameter meets the water quality requirements, then α i =1;

[0095] If Rv i >qt i When , it means that the i-th water quality parameter does not meet the water quality requirements, then α i =0;

[0096] Step 7: Calculate the change state index Ci of the current aquaculture water according to the sampling values ​​of the water quality parameters; the calculation formula of the change state index Ci is: In the formula, Rv it It is expressed as the tth sampling value of the i-th water quality parameter within the sampling period T; Rv it+1 It is represented by the t+1th sampling value of the i-th water quality parameter in the sampling period T; β i is the coefficient of variation of the i-th water quality parameter, and β i =1 or β i =-1; T is the sampling period;

[0097] β i The value principle is:

[0098] When the i-th water quality parameter is a positively affecting water quality parameter type:

[0099] like Then β i =1;

[0100] like Then β i = -1;

[0101] When the i-th water quality parameter is a negative impact water quality parameter type:

[0102] like Then β i = -1;

[0103] like Then β i =1;

[0104] Step 8: The comprehensive state determination module calculates and determines the real-time state index Ri used to characterize the current pollution state of aquaculture water according to the basic state index and the change state index. The calculation formula of the real-time state index Ri is: Ri = Si + Ci;

[0105] It should be noted that the real-time status index is inversely proportional to the current pollution status of aquaculture water, that is, the smaller the real-time status index, the more serious the current pollution status of aquaculture water and the worse the water quality; the larger the real-time status index, the lighter the current pollution status of aquaculture water and the better the water quality.

[0106] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent monitoring and early warning system for rice field aquaculture, characterized in that: include: The sampling module is used to sample the aquaculture water in the aquaculture area and obtain water quality samples; A data sampling module, used for measuring various water quality parameters in the acquired water quality sample; The current state determination module is used to set the threshold of each water quality parameter, and determine the water quality state of the current aquaculture water according to the set threshold, and generate a state alarm signal when any of the water quality parameters exceeds the threshold; it is also used to calculate the basic state index Si of the current aquaculture water according to the sampled values ​​of the water quality parameters; The state trend determination module is used to calculate the change state index Ci of the current aquaculture water according to the sampled values ​​of the water quality parameters; it is also used to classify the state alarm signal into different alarm levels including prompt alarm, warning alarm, minor alarm, and severe alarm according to the sampled values ​​of the water quality parameters, and generate a corresponding alarm level signal according to the alarm level; A comprehensive state determination module, used for calculating and determining a real-time state index Ri for characterizing the current pollution state of aquaculture water according to the acquired basic state index and the changed state index; An alarm module, used to respond to the alarm level signal and perform alarm operations of different degrees according to the alarm level signal; The calculation formula of the basic status index is: In the formula, Rv i Expressed as the sampling value of the i-th water quality parameter; qt i Expressed as the threshold of the i-th water quality parameter; θ i It is expressed as the influence of the i-th water quality parameter on the aquaculture water quality; and 0<θ i <1, α i is the state coefficient of the i-th water quality parameter, and α i =0 or α i =1; n represents the type of water quality parameter; The calculation formula of the change state index Ci is: In the formula, Rv it It is expressed as the tth sampling value of the i-th water quality parameter within the sampling period T; Rv it+1 It is represented by the t+1th sampling value of the i-th water quality parameter in the sampling period T; β i is the coefficient of variation of the i-th water quality parameter, and β i =1 or β i =-1; T is the sampling period; The calculation formula of the real-time status index Ri is: Ri=Si+Ci, wherein the smaller the real-time status index is, the more serious the current pollution status of the aquaculture water is.

2. The intelligent monitoring and early warning system for rice field aquaculture according to claim 1 is characterized in that: The water quality parameters include at least one of oxygen content, ammonia nitrogen content, nitrite content, phosphate content, pH value, and turbidity.

3. The intelligent monitoring and early warning system for rice field aquaculture according to claim 1 is characterized in that: The steps for classifying alarm levels are as follows: According to the sampled values ​​of water quality parameters, the state trend judgment function f(Rv i ),in, When the i-th water quality parameter is a positive water quality parameter type, the function expression is: When the i-th water quality parameter is a negatively impacting water quality parameter type, the function expression is: In the formula, Rv i(t-k) It is expressed as the kth sampling value of the i-th water quality parameter before the t-th sampling value within the sampling period T; Rv i(t-k-1) It is represented by the k-1th sampling value of the i-th water quality parameter before the t-th sampling value within the sampling period T; K is represented by the number of sampling times of the i-th water quality parameter before the t-th sampling value within the sampling period T; According to the state trend judgment function f(Rv i ) is used to classify the status alarm signal, and the classification principle is: When f(Rv i ) = 1, the status alarm signal is classified as a serious alarm; When f(Rv i ) = 2, the status alarm signal is classified as a minor alarm; When f(Rv i ) = 3, the status alarm signal is classified as a warning alarm; When f(Rv i )=4, the status alarm signal is classified as a prompt alarm.

4. The intelligent monitoring and early warning system for rice field aquaculture according to claim 1 is characterized in that: The state coefficient α of the i-th water quality parameter i The value principle is: When the i-th water quality parameter is a positively affecting water quality parameter type: If Rv i ≤qt i , then α i =0; If Rv i >qt i When α i =1; When the i-th water quality parameter is a negative impact water quality parameter type: If Rv i ≤qt i , then α i =1; If Rv i >qt i When α i =0.

5. The intelligent monitoring and early warning system for rice field aquaculture according to claim 1 is characterized in that: The coefficient of variation of the i-th water quality parameter β i The value principle is: When the i-th water quality parameter is a positively affecting water quality parameter type: like Then β i =1; like Then β i = -1; When the i-th water quality parameter is a negative impact water quality parameter type: like Then β i = -1; like Then β i =1.

6. A rice field aquaculture intelligent monitoring and early warning system according to any one of claims 3, 4 and 5, characterized in that: The positively affecting water quality parameter is a type of water quality parameter whose water quality state for aquaculture water becomes better as the water quality parameter value increases; the negatively affecting water quality parameter is a type of water quality parameter whose water quality state for aquaculture water becomes worse as the water quality parameter value increases.

7. The intelligent monitoring and early warning system for rice field aquaculture according to claim 1 is characterized in that: The alarm operation is classified into level 1 alarm, level 2 alarm, level 3 alarm, and level 4 alarm according to the severity. When the status alarm signal is classified as a prompt alarm, a first-level alarm is issued; When the status alarm signal is classified as a warning alarm, a second-level alarm is issued; When the status alarm signal is classified as a minor alarm, a third-level alarm is issued; When the status alarm signal is classified as a severe alarm, a level 4 alarm is issued.

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