An intelligent monitoring and early warning system for rice field aquaculture

Abstract

The present invention discloses an intelligent monitoring and early warning system for rice field aquaculture, and relates to the technical field of rice field aquaculture. The intelligent monitoring and early warning system for rice field aquaculture of the present invention includes a sampling module, a data sampling module, a current state determination module, a state trend determination module, a comprehensive state determination module, and an alarm module. The system measures various water quality parameters in water quality samples of aquaculture water in an aquaculture area, and determines the water quality state of the current aquaculture water according to a set threshold. When any water quality parameter exceeds the threshold, a state alarm signal is generated, and the state alarm signal is classified into different alarm levels. A corresponding alarm level signal is generated according to the alarm level. Different degrees of alarm operation 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, and a real-time state index Ri used to characterize the current pollution state of the aquaculture water is further determined.

Description

Technical Field

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

[0002] Integrated rice farming is an agricultural production model that organically combines rice cultivation with aquaculture or waterfowl breeding, effectively improving resource utilization and rice field output efficiency. To ensure the growth rate and quality of aquatic products, rice field aquaculture requires high water quality. Existing technologies typically sample and test aquaculture water to obtain relevant water quality evaluation parameters. These are then compared with pre-set thresholds to achieve water quality monitoring and early warning.

[0003] However, in actual production, the deterioration rate of aquaculture water is affected not only by the content of various water quality parameters, but also by their changing trends. Using fixed parameter preset threshold ranges as water quality evaluation criteria often fails to reflect the true impact of water quality evaluation index parameters on aquaculture water and aquaculture. The level of intelligent monitoring is low, especially when multiple influencing factors are superimposed, making it difficult to make scientific and accurate judgments 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 purpose, 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, configured 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 value of each water quality parameter, and determine the water quality state of the current aquaculture water according to the set threshold value, and generate a state alarm signal when any of the water quality parameters exceeds the threshold value; 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 calculation formula of the basic state index is: Where Rv iExpressed as the sampling value of the i-th water quality parameter; qt i Expressed as the threshold value 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 impacting 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 serious 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: Where Rv it It is expressed as the t-th 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 impacting 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, configured to calculate and determine a real-time state index Ri for characterizing the current pollution state of aquaculture water based on the acquired basic state index and the acquired 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, the more serious the current pollution state of aquaculture water;

[0026] An alarm module is 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 the water quality parameters, the state trend judgment function f(Rv i ),in,

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

[0030]

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

[0032]

[0033] Where 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 impacting water quality parameter is a type of water quality parameter whose water quality for aquaculture becomes better as the water quality parameter value increases; the negatively impacting water quality parameter is a type of water quality parameter whose water quality for aquaculture 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 level one 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 serious alarm, a level 4 alarm is issued.

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

[0046] Compared with the existing technology, the present invention measures various water quality parameters in water quality samples of aquaculture water in the aquaculture area, and determines the current water quality status of the aquaculture water according to the 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 serious alarm. According to the alarm level, a corresponding alarm level signal is generated, and different degrees of alarm operations 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 sampling 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 can the water quality status of the current aquaculture water be quantitatively evaluated, but also the change trend state of the water quality parameters can be quantitatively evaluated, thereby improving the intelligence level 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 paddy farming areas.

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

[0051] The present invention will be further described below in conjunction with specific embodiments. The accompanying drawings are for illustrative purposes only and represent only schematic diagrams rather than actual drawings. They should not be understood as limiting the present invention. In order to better illustrate the specific embodiments of the present invention, some parts of the 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: Use the sampling module to sample the aquaculture water in the aquaculture area 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 sampling, sampling points should be set at different locations in the breeding area, including the rice field water inlet Ⅰ, rice field water outlet Ⅱ, the middle position, and the rice field ring ditch Ⅲ.

[0055] Step 2: Measure various water quality parameters in the water quality samples obtained 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 water quality parameters are classified into two categories: positively affecting water quality parameters and negatively affecting water quality parameters. Among them, positively affecting water quality parameters are water quality parameters of the type that the water quality of aquaculture water becomes better as the water quality parameter value increases, such as oxygen content; negatively affecting water quality parameters are water quality parameters of the type that the water quality of 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 6.5-8.5 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 positively affecting water quality parameter. When the pH sampling value is greater than 8.5, it is classified as a negatively affecting water quality parameter.

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

[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 judgment 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 positively impacting water quality parameter type, the function expression is:

[0062]

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

[0064]

[0065] Where 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 impacting 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, the direction of change is favorable for water quality, 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 shows 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 negative impact 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 and changes in a downward trend within the sampling period T, that is, the direction of change is favorable for 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 shows 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) based on the state trend i) value results to classify the status alarm signals. The classification principles are:

[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 level 3 alarm is issued;

[0085] When the status alarm signal is classified as a serious 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 respectively. 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: Where Rv i Expressed as the sampling value of the i-th water quality parameter; qt i Expressed as the threshold value 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 impacting 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 based on the sampled values ​​of the water quality parameters; the calculation formula of the change state index Ci is: Where Rv it It is expressed as the t-th 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 impacting 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 based on 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 milder the current pollution status of aquaculture water and the better the water quality.

[0106] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended 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 to measure various water quality parameters in the acquired water quality sample; A current state determination module is used to set thresholds for each of the water quality parameters, and to determine the water quality state of the current aquaculture water according to the set thresholds, and to generate a state alarm signal when any of the water quality parameters exceeds the threshold; and 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; A 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 is used to calculate and determine a real-time state index Ri for characterizing the current pollution state of aquaculture water according to the obtained basic state index and the changed state index; An alarm module is 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: Where Rv i Expressed as the sampling value of the i-th water quality parameter; qt i Expressed as the threshold value 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: Where Rv it It is expressed as the t-th 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; 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 impacting 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; 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 impacting 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.

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 the water quality parameters, the state trend judgment function f(Rv i ),in, When the i-th water quality parameter is a positively impacting water quality parameter type, the function expression is: When the i-th water quality parameter is a negative impact water quality parameter type, the function expression is: Where 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 3 is characterized in that: The positively impacting water quality parameter is a type of water quality parameter whose water quality for aquaculture becomes better as the water quality parameter value increases; the negatively impacting water quality parameter is a type of water quality parameter whose water quality for aquaculture becomes worse as the water quality parameter value increases.

5. 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 level one 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 serious alarm, a level 4 alarm is issued.

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