Earthworm and rice co-cultivation ecological cycle optimization method and system

Abstract

The application discloses an earthworm-rice co-cultivation ecological circulation optimization method and system, relates to the biological field, and solves the problem of poor optimization effect of the existing ecological circulation optimization method, and comprises the following steps: S1, water quality monitoring is performed on the earthworm-rice co-cultivation water area, a plurality of different water quality monitoring indexes are set and monitored respectively, a period water area index monitoring deviation ratio is obtained according to the monitoring result, S2, light monitoring is performed on the earthworm-rice co-cultivation water area, a plurality of different sunlight spectra are set and monitored respectively, and a period spectrum index monitoring deviation ratio is obtained according to the monitoring result, and S3, the earthworm-rice co-cultivation water area is subjected to circulation optimization according to the period spectrum index monitoring deviation ratio and the period water area index monitoring deviation ratio, the accuracy of the data monitoring result is improved, and the ecological circulation optimization effect is improved.

Description

Technical Field

[0001] This invention belongs to the field of biology and relates to biosensor technology, specifically a method and system for optimizing the ecological cycle of earthworm-rice co-cultivation. Background Technology

[0002] Existing ecological cycle optimization methods have the following specific drawbacks when optimizing the ecological cycle of earthworm-rice co-cultivation waters:

[0003] 1. Existing ecological cycle optimization methods cannot set several different water quality monitoring indicators, cannot obtain the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator based on the monitoring results, and do not conduct comprehensive analysis on the obtained monitoring deviations of multiple water quality indicators, thus resulting in a lack of accuracy in ecological water quality monitoring results.

[0004] 2. Existing ecological cycle optimization methods cannot set several different solar light spectra, cannot obtain the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum based on the monitoring results, and do not conduct comprehensive analysis of the obtained multiple spectral intensity monitoring deviations, resulting in a lack of accuracy in ecological light monitoring results.

[0005] Therefore, we propose an optimized ecological cycle method and system for earthworm-rice co-cultivation. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the present invention aims to provide a method and system for optimizing the ecological cycle of earthworm-rice co-cultivation. This invention aims to improve the accuracy of ecological cycle optimization methods for environmental monitoring, thereby increasing the efficiency of ecological cycles.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: a method for optimizing the ecological cycle of earthworm-rice co-cultivation, characterized by comprising the following specific steps:

[0008] Step S1: Conduct water quality monitoring in the earthworm-rice co-cultivation area and set several different water quality monitoring indicators. Based on the monitoring results, obtain the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator, and conduct a comprehensive analysis of the obtained multiple water quality indicator monitoring deviations to obtain the periodic water area indicator monitoring deviation ratio.

[0009] Step S2: Monitor the light intensity of the water area where earthworms and rice are co-cultivated, and set up several different solar light spectra. Based on the monitoring results, obtain the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum, and conduct a comprehensive analysis of the obtained multiple spectral intensity monitoring deviations to obtain the periodic spectral index monitoring deviation ratio.

[0010] Step S3: Optimize the earthworm-rice co-cultivation water area based on the periodic spectral index monitoring deviation ratio and the periodic water area index monitoring deviation ratio.

[0011] Furthermore, step S1 also includes the following specific steps:

[0012] Step S11: Obtain the water area for earthworm-rice co-cultivation. During the water quality monitoring of the earthworm-rice co-cultivation water area, mark a water quality monitoring cycle for the co-cultivation water area.

[0013] Step S12: During the water quality monitoring of the earthworm-rice co-cultivation area, several different types of water quality monitoring indicators are set up, and the set water quality monitoring indicators are marked as Z1 water quality monitoring indicator to Za water quality monitoring indicator.

[0014] Step S13: Analyze the Z1 water quality monitoring indicators in the earthworm-rice co-cultivation waters during the water quality monitoring week of the symbiotic waters, and obtain the Z1 water quality indicator monitoring deviation ratio based on the analysis results;

[0015] Step S14: Obtain the water quality monitoring deviation ratios corresponding to the Z2 water quality monitoring index and the Za water quality monitoring index respectively, and obtain the Z2 water quality index monitoring deviation ratio to the Za water quality index monitoring deviation ratio;

[0016] Step S15: Compare the monitoring deviation ratios of water quality indicators from Z1 to Za, and mark the monitoring deviation ratio of the water quality indicator with the largest value as the monitoring deviation ratio of the periodic water area indicator.

[0017] Furthermore, step S13 also includes the following specific steps:

[0018] Step S131: Divide the earthworm-rice co-cultivation water area into several water quality monitoring sub-regions, and select a sample water quality monitoring sub-region from the divided water quality monitoring sub-regions.

[0019] Step S132: Select several water quality monitoring time points in the water quality monitoring cycle of the symbiotic water area, obtain the Z1 water quality monitoring index values ​​corresponding to each water quality monitoring time point of the sample water quality monitoring sub-region, obtain multiple Z1 water quality index monitoring values, sort the multiple Z1 water quality index monitoring values ​​in descending order to obtain a water quality monitoring index array, obtain the median of the water quality monitoring index array, and obtain the median value of the Z1 water quality index monitoring corresponding to the sample water quality monitoring sub-region.

[0020] Step S133: Obtain the median value of Z1 water quality index monitoring for each water quality monitoring sub-region, obtain multiple median values ​​of Z1 water quality index monitoring, compare the values ​​of the multiple median values ​​of Z1 water quality index monitoring, mark the median value of Z1 water quality index monitoring with the largest value as the peak value of periodic water quality index monitoring, mark the median value of Z1 water quality index monitoring with the smallest value as the valley value of periodic water quality index monitoring, and mark the range of values ​​between the peak value and the valley value of periodic water quality index monitoring as the range of periodic Z1 water quality index.

[0021] Step S134: Divide the Z1 cycle water quality index range into several water quality index change ranges, and mark the multiple water quality index change ranges as M1 water quality index change range to Mb water quality index change range respectively.

[0022] Step S135: Analyze the water quality monitoring sub-regions within the range of variation of water quality index M1 to Mb, and obtain the periodic water area index monitoring values ​​corresponding to water quality monitoring index Z1.

[0023] Step S136: Obtain the Z1 water quality monitoring index benchmark interval corresponding to the earthworm-rice co-cultivation water area. If the periodic water area index monitoring value is within the Z1 water quality monitoring index benchmark interval, then use the value 0 to assign a parameter value to the Z1 water quality index monitoring deviation ratio. If the periodic water area index monitoring value is not within the Z1 water quality monitoring index benchmark interval, then calculate the numerical deviation between the periodic water area index monitoring value and the Z1 water quality monitoring index benchmark interval, and calculate the ratio of the obtained numerical deviation to the range value of the Z1 water quality monitoring index benchmark interval to obtain the Z1 water quality index monitoring deviation ratio.

[0024] Furthermore, step S135 also includes the following specific steps:

[0025] The area of ​​the water quality monitoring sub-region within the range of water quality index variation of M1 is accumulated to obtain the area value of the M1 water quality index region. The area of ​​the water quality monitoring sub-region within the range of water quality index variation of M2 is accumulated to obtain the area value of the M2 water quality index region. And so on, the area of ​​the water quality monitoring sub-region within the range of water quality index variation of Mb is accumulated to obtain the area value of the Mb water quality index region.

[0026] The midpoints of the ranges corresponding to the changes in water quality index M1 and Mb are obtained respectively, thus obtaining the midpoints of the ranges of water quality index M1 and Mb.

[0027] The water area of ​​the earthworm-rice co-cultivation water area was obtained, and the water area value of the earthworm-rice co-cultivation water area was obtained.

[0028] The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are obtained by calculating the midpoint of the M1 water quality index range to the midpoint of the Mb water quality index range, the area values ​​of the M1 water quality index region to the Mb water quality index region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0029] The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are calculated.

[0030] Furthermore, step S2 also includes the following specific steps:

[0031] Step S21: Obtain the water area for earthworm-rice co-cultivation. During the process of monitoring the light intensity of the earthworm-rice co-cultivation water area, mark a light intensity monitoring cycle for the co-cultivation water area.

[0032] Step S22: During the process of monitoring the light intensity in the water area of ​​earthworm-rice co-cultivation, the sunlight is analyzed into multiple different types of spectra, and the set spectra are respectively labeled as G1 solar spectrum to Gc solar spectrum;

[0033] Step S23: Perform G1 solar spectrum analysis on the earthworm-rice co-cultivation waters during the symbiotic waters light monitoring week, and obtain the G1 spectral intensity monitoring deviation ratio based on the analysis results;

[0034] Step S24: Obtain the spectral intensity monitoring deviation ratios corresponding to the G2 solar spectrum and the Gc solar spectrum respectively, and obtain the G2 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio;

[0035] Step S25: Compare the values ​​of the G1 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio, and mark the spectral intensity monitoring deviation ratio with the largest value as the periodic spectral index monitoring deviation ratio.

[0036] Furthermore, step S23 also includes the following specific steps:

[0037] Step S231: Divide the intensity range of the G1 solar spectrum to obtain the range of N1 spectral intensity variation to the range of Nd spectral intensity variation;

[0038] Step S232: Accumulate the area of ​​the light monitoring sub-region within the N1 spectral intensity variation range to obtain the area value of the N1 spectral intensity region; accumulate the area of ​​the light monitoring sub-region within the N2 spectral intensity variation range to obtain the area value of the N2 spectral intensity region; and so on, accumulate the area of ​​the light monitoring sub-region within the Nd spectral intensity variation range to obtain the area value of the Nd spectral intensity region.

[0039] Step S233: Obtain the midpoint values ​​of the ranges corresponding to the N1 spectral intensity variation range to the Nd spectral intensity variation range respectively, to obtain the midpoint values ​​of the N1 spectral intensity range to the Nd spectral intensity range;

[0040] Step S234: Obtain the water area of ​​the earthworm-rice co-cultivation water area and get the water area value of the earthworm-rice co-cultivation water area;

[0041] Step S235: Obtain periodic spectral index monitoring values ​​based on the midpoint of the N1 spectral intensity range to the midpoint of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0042] Step S236: Obtain the G1 solar spectral reference range corresponding to the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring value is within the G1 solar spectral reference range, assign the parameter value 0 to the G1 spectral intensity monitoring deviation ratio. If the periodic spectral index monitoring value is not within the G1 solar spectral reference range, calculate the numerical deviation between the periodic spectral index monitoring value and the G1 solar spectral reference range, and calculate the ratio of the obtained numerical deviation to the range value of the G1 solar spectral reference range to obtain the G1 spectral intensity monitoring deviation ratio.

[0043] Furthermore, step S231 also includes the following specific steps:

[0044] The water area for earthworm-rice co-cultivation was divided into several light monitoring sub-regions, and a sample light monitoring sub-region was selected from the multiple light monitoring sub-regions.

[0045] Several light monitoring time points were selected during the light monitoring cycle of the symbiotic water area. The solar spectral intensity values ​​corresponding to each light monitoring time point of the sample light monitoring sub-region were obtained, resulting in multiple solar spectral intensity values. The obtained multiple solar spectral intensity values ​​were sorted in descending order according to their size to obtain a solar spectral intensity value sorting array. The median of the solar spectral intensity value sorting array was obtained to obtain the median value of the G1 spectral intensity monitoring corresponding to the sample light monitoring sub-region.

[0046] The process of obtaining the median value of G1 spectral intensity monitoring corresponding to the sample illumination monitoring sub-region was repeated. The median value of G1 spectral intensity monitoring corresponding to each illumination monitoring sub-region was obtained, resulting in multiple median values ​​of G1 spectral intensity monitoring. The values ​​of the multiple median values ​​of G1 spectral intensity monitoring were compared. The median value of G1 spectral intensity monitoring with the largest value was marked as the peak value of periodic spectral intensity monitoring, and the median value of G1 spectral intensity monitoring with the smallest value was marked as the valley value of periodic spectral intensity monitoring. The range of values ​​between the peak value and the valley value of periodic spectral intensity monitoring was marked as the G1 periodic spectral intensity interval.

[0047] The G1 periodic spectral intensity range is divided into several spectral intensity variation ranges, and these ranges are labeled as N1 spectral intensity variation range to Nd spectral intensity variation range.

[0048] Furthermore, step S235 also includes the following specific steps:

[0049] The periodic spectral index monitoring values ​​corresponding to the G1 solar spectrum are obtained by calculating the values ​​from the median value of the N1 spectral intensity range to the median value of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0050] The monitoring values ​​of the periodic spectral index corresponding to the G1 solar spectrum are calculated.

[0051] Furthermore, step S3 also includes the following specific steps:

[0052] Obtain the monitoring deviation ratio of periodic spectral indicators and the monitoring deviation ratio of periodic water area indicators;

[0053] Obtain the baseline range of periodic spectral index monitoring deviation. If the ratio of periodic spectral index monitoring deviation is within the baseline range, there is no need to block sunlight in the earthworm-rice co-cultivation water area. If the ratio of periodic spectral index monitoring deviation is not within the baseline range, then it is necessary to block sunlight in the earthworm-rice co-cultivation water area.

[0054] Obtain the baseline range of the periodic water area indicator monitoring deviation. If the periodic water area indicator monitoring deviation ratio is within the baseline range, there is no need to replace the water in the earthworm-rice co-cultivation area. If the periodic water area indicator monitoring deviation ratio is not within the baseline range, then the water in the earthworm-rice co-cultivation area needs to be replaced.

[0055] An earthworm-rice co-cultivation ecological cycle optimization system includes:

[0056] Water quality monitoring module: Water quality monitoring is carried out in the earthworm-rice co-cultivation area, and several different water quality monitoring indicators are set. Based on the monitoring results, the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator is obtained, and the monitoring deviation ratio of multiple water quality indicators is comprehensively analyzed to obtain the periodic water area indicator monitoring deviation ratio.

[0057] Light monitoring module: Light monitoring is carried out in the water area of ​​earthworm-rice co-cultivation, and several different solar light spectra are set. Based on the monitoring results, the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum is obtained, and the multiple spectral intensity monitoring deviations are comprehensively analyzed to obtain the periodic spectral index monitoring deviation ratio.

[0058] The cycle optimization module optimizes the earthworm-rice co-cultivation water area based on the periodic spectral index monitoring deviation ratio and the periodic water area index monitoring deviation ratio.

[0059] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0060] 1. This invention improves the accuracy of ecological water quality monitoring results by setting several different water quality monitoring indicators and obtaining the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator based on the monitoring results.

[0061] 2. This invention improves the accuracy of ecological light monitoring results by setting several different solar light spectra and obtaining the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum according to the monitoring results, and then comprehensively analyzing the obtained multiple spectral intensity monitoring deviations. Attached Figure Description

[0062] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0063] Figure 1 This is a diagram illustrating the implementation steps of the present invention;

[0064] Figure 2 This is an overall system block diagram of the present invention. Detailed Implementation

[0065] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0066] Example 1

[0067] Please see Figure 1 The aquatic indicator monitoring device in this invention belongs to the category of biosensors, and provides a technical solution: a method for optimizing the ecological cycle of earthworm-rice co-cultivation, including the following specific steps:

[0068] Step S1: Conduct water quality monitoring in the earthworm-rice co-cultivation area and set several different water quality monitoring indicators. Based on the monitoring results, obtain the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator, and conduct a comprehensive analysis of the obtained multiple water quality indicator monitoring deviations to obtain the periodic water area indicator monitoring deviation ratio.

[0069] Step S1 further includes the following specific steps:

[0070] Step S11: Obtain the water area for earthworm-rice co-cultivation. During the water quality monitoring of the earthworm-rice co-cultivation water area, mark a water quality monitoring cycle for the co-cultivation water area.

[0071] Step S12: During the water quality monitoring of the earthworm-rice co-cultivation area, several different types of water quality monitoring indicators are set up, and the set water quality monitoring indicators are marked as Z1 water quality monitoring indicator to Za water quality monitoring indicator.

[0072] Step S13: Analyze the Z1 water quality monitoring indicators in the earthworm-rice co-cultivation waters during the water quality monitoring week of the symbiotic waters, and obtain the Z1 water quality indicator monitoring deviation ratio based on the analysis results;

[0073] Step S13 further includes the following specific steps:

[0074] Step S131: Divide the earthworm-rice co-cultivation water area into several water quality monitoring sub-regions, and select a sample water quality monitoring sub-region from the divided water quality monitoring sub-regions.

[0075] Step S132: Select several water quality monitoring time points in the water quality monitoring cycle of the symbiotic water area, obtain the Z1 water quality monitoring index values ​​corresponding to each water quality monitoring time point of the sample water quality monitoring sub-region, obtain multiple Z1 water quality index monitoring values, and calculate the average of the multiple Z1 water quality index monitoring values ​​to obtain the median value of the Z1 water quality index monitoring corresponding to the sample water quality monitoring sub-region.

[0076] Step S133: Obtain the median value of Z1 water quality index monitoring for each water quality monitoring sub-region, obtain multiple median values ​​of Z1 water quality index monitoring, compare the values ​​of the multiple median values ​​of Z1 water quality index monitoring, mark the median value of Z1 water quality index monitoring with the largest value as the peak value of periodic water quality index monitoring, mark the median value of Z1 water quality index monitoring with the smallest value as the valley value of periodic water quality index monitoring, and mark the range of values ​​between the peak value and the valley value of periodic water quality index monitoring as the range of periodic Z1 water quality index.

[0077] Step S134: Divide the Z1 cycle water quality index range into several water quality index change ranges, and mark the multiple water quality index change ranges as M1 water quality index change range to Mb water quality index change range respectively.

[0078] Step S135: Analyze the water quality monitoring sub-regions within the range of variation of water quality index M1 to Mb, and obtain the periodic water area index monitoring values ​​corresponding to water quality monitoring index Z1.

[0079] Step S135 further includes the following specific steps:

[0080] The area of ​​the water quality monitoring sub-region within the range of water quality index variation of M1 is accumulated to obtain the area value of the M1 water quality index region. The area of ​​the water quality monitoring sub-region within the range of water quality index variation of M2 is accumulated to obtain the area value of the M2 water quality index region. And so on, the area of ​​the water quality monitoring sub-region within the range of water quality index variation of Mb is accumulated to obtain the area value of the Mb water quality index region.

[0081] The midpoints of the ranges corresponding to the changes in water quality index M1 and Mb are obtained respectively, thus obtaining the midpoints of the ranges of water quality index M1 and Mb.

[0082] The water area of ​​the earthworm-rice co-cultivation water area was obtained, and the water area value of the earthworm-rice co-cultivation water area was obtained.

[0083] The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are obtained by calculating the midpoint of the M1 water quality index range to the midpoint of the Mb water quality index range, the area values ​​of the M1 water quality index region to the Mb water quality index region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0084] The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are calculated using the following formula:

[0085]

[0086] Among them, Syz is the periodic water area index monitoring value, Smi is the area value of the Mi water quality index region, Qjzi is the median value of the Mi water quality index range, and Sym is the area value of the earthworm-rice co-cultivation water area.

[0087] Step S136: Obtain the Z1 water quality monitoring index benchmark interval corresponding to the earthworm-rice co-cultivation water area. If the periodic water area index monitoring value is within the Z1 water quality monitoring index benchmark interval, then use the value 0 to assign a parameter value to the Z1 water quality index monitoring deviation ratio. If the periodic water area index monitoring value is not within the Z1 water quality monitoring index benchmark interval, then calculate the numerical deviation between the periodic water area index monitoring value and the Z1 water quality monitoring index benchmark interval, and calculate the ratio of the obtained numerical deviation to the range value of the Z1 water quality monitoring index benchmark interval to obtain the Z1 water quality index monitoring deviation ratio.

[0088] Step S14: Obtain the water quality monitoring deviation ratios corresponding to the Z2 water quality monitoring index and the Za water quality monitoring index respectively, and obtain the Z2 water quality index monitoring deviation ratio to the Za water quality index monitoring deviation ratio;

[0089] Step S15: Compare the monitoring deviation ratios of water quality indicators from Z1 to Za, and mark the monitoring deviation ratio of the water quality indicator with the largest value as the monitoring deviation ratio of the periodic water area.

[0090] Step S2: Monitor the light intensity of the water area where earthworms and rice are co-cultivated, and set up several different solar light spectra. Based on the monitoring results, obtain the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum, and conduct a comprehensive analysis of the obtained multiple spectral intensity monitoring deviations to obtain the periodic spectral index monitoring deviation ratio.

[0091] Step S2 further includes the following specific steps:

[0092] Step S21: Obtain the water area for earthworm-rice co-cultivation. During the process of monitoring the light intensity of the earthworm-rice co-cultivation water area, mark a light intensity monitoring cycle for the co-cultivation water area.

[0093] Step S22: During the process of monitoring the light intensity in the water area of ​​earthworm-rice co-cultivation, the sunlight is analyzed into multiple different types of spectra, and the set spectra are respectively labeled as G1 solar spectrum to Gc solar spectrum;

[0094] Step S23: Perform G1 solar spectrum analysis on the earthworm-rice co-cultivation waters during the symbiotic waters light monitoring week, and obtain the G1 spectral intensity monitoring deviation ratio based on the analysis results;

[0095] Step S23 further includes the following specific steps:

[0096] Step S231: Divide the intensity range of the G1 solar spectrum to obtain the range of N1 spectral intensity variation to the range of Nd spectral intensity variation;

[0097] Step S231 further includes the following specific steps:

[0098] The water area for earthworm-rice co-cultivation was divided into several light monitoring sub-regions, and a sample light monitoring sub-region was selected from the multiple light monitoring sub-regions.

[0099] Several light monitoring time points were selected during the light monitoring cycle of the symbiotic water area. The solar spectral intensity values ​​corresponding to each light monitoring time point of the sample light monitoring sub-region were obtained. Multiple solar spectral intensity values ​​were obtained, and the average of the multiple solar spectral intensity values ​​was calculated to obtain the median value of the G1 spectral intensity monitoring corresponding to the sample light monitoring sub-region.

[0100] The process of obtaining the median value of G1 spectral intensity monitoring corresponding to the sample illumination monitoring sub-region was repeated. The median value of G1 spectral intensity monitoring corresponding to each illumination monitoring sub-region was obtained, resulting in multiple median values ​​of G1 spectral intensity monitoring. The values ​​of the multiple median values ​​of G1 spectral intensity monitoring were compared. The median value of G1 spectral intensity monitoring with the largest value was marked as the peak value of periodic spectral intensity monitoring, and the median value of G1 spectral intensity monitoring with the smallest value was marked as the valley value of periodic spectral intensity monitoring. The range of values ​​between the peak value and the valley value of periodic spectral intensity monitoring was marked as the G1 periodic spectral intensity interval.

[0101] The G1 periodic spectral intensity range is divided into several spectral intensity variation ranges, and these ranges are labeled as N1 spectral intensity variation range to Nd spectral intensity variation range.

[0102] Step S232: Accumulate the area of ​​the light monitoring sub-region within the N1 spectral intensity variation range to obtain the area value of the N1 spectral intensity region; accumulate the area of ​​the light monitoring sub-region within the N2 spectral intensity variation range to obtain the area value of the N2 spectral intensity region; and so on, accumulate the area of ​​the light monitoring sub-region within the Nd spectral intensity variation range to obtain the area value of the Nd spectral intensity region.

[0103] Step S233: Obtain the midpoint values ​​of the ranges corresponding to the N1 spectral intensity variation range to the Nd spectral intensity variation range respectively, to obtain the midpoint values ​​of the N1 spectral intensity range to the Nd spectral intensity range;

[0104] Step S234: Obtain the water area of ​​the earthworm-rice co-cultivation water area and get the water area value of the earthworm-rice co-cultivation water area;

[0105] Step S235: Obtain periodic spectral index monitoring values ​​based on the midpoint of the N1 spectral intensity range to the midpoint of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0106] Step S235 further includes the following specific steps:

[0107] The periodic spectral index monitoring values ​​corresponding to the G1 solar spectrum are obtained by calculating the values ​​from the median value of the N1 spectral intensity range to the median value of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0108] The monitoring values ​​of the periodic spectral index corresponding to the G1 solar spectrum are calculated using the following formula:

[0109]

[0110] Wherein, Gyz is the periodic spectral index monitoring value, Gmi is the area value of the Ni spectral intensity region, Gjzi is the median value of the Ni spectral intensity range, and Sym is the area value of the water area in earthworm-rice co-cultivation.

[0111] Step S236: Obtain the G1 solar spectral reference range corresponding to the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring value is within the G1 solar spectral reference range, assign the parameter value 0 to the G1 spectral intensity monitoring deviation ratio. If the periodic spectral index monitoring value is not within the G1 solar spectral reference range, calculate the numerical deviation between the periodic spectral index monitoring value and the G1 solar spectral reference range, and calculate the ratio of the obtained numerical deviation to the range value of the G1 solar spectral reference range to obtain the G1 spectral intensity monitoring deviation ratio.

[0112] Step S24: Obtain the spectral intensity monitoring deviation ratios corresponding to the G2 solar spectrum and the Gc solar spectrum respectively, and obtain the G2 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio;

[0113] Step S25: Compare the values ​​of the G1 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio, and mark the spectral intensity monitoring deviation ratio with the largest value as the periodic spectral index monitoring deviation ratio;

[0114] Step S3: Optimize the earthworm-rice co-cultivation water area based on the periodic spectral index monitoring deviation ratio and the periodic water area index monitoring deviation ratio;

[0115] Step S3 further includes the following specific steps:

[0116] Obtain the monitoring deviation ratio of periodic spectral indicators and the monitoring deviation ratio of periodic water area indicators;

[0117] Obtain the baseline range of periodic spectral index monitoring deviation. If the ratio of periodic spectral index monitoring deviation is within the baseline range, there is no need to block sunlight in the earthworm-rice co-cultivation water area. If the ratio of periodic spectral index monitoring deviation is not within the baseline range, then it is necessary to block sunlight in the earthworm-rice co-cultivation water area.

[0118] Obtain the baseline range of the periodic water area indicator monitoring deviation. If the periodic water area indicator monitoring deviation ratio is within the baseline range, there is no need to replace the water in the earthworm-rice co-cultivation area. If the periodic water area indicator monitoring deviation ratio is not within the baseline range, then the water in the earthworm-rice co-cultivation area needs to be replaced.

[0119] In this application, if a corresponding calculation formula appears, the above calculation formula is a dimensionless calculation. The weighting coefficient, proportional coefficient and other coefficients in the formula are set to quantify each parameter to obtain a result value. The size of the weighting coefficient and proportional coefficient is only required to not affect the proportional relationship between the parameter and the result value.

[0120] Example 2

[0121] Please see Figure 2 Based on another concept of the same invention, an earthworm-rice co-cultivation ecological cycle optimization system is proposed. The optimization system includes a water quality monitoring module, a light monitoring module, a cycle optimization module, and a server. The water quality monitoring module, the light monitoring module, and the cycle optimization module are respectively connected to the server, and the server controls the water quality monitoring module, the light monitoring module, and the cycle optimization module respectively.

[0122] The water quality monitoring module monitors the water quality of the earthworm-rice co-cultivation area and sets several different water quality monitoring indicators. Based on the monitoring results, it obtains the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator and performs a comprehensive analysis on the obtained multiple water quality indicator monitoring deviations to obtain the periodic water area indicator monitoring deviation ratio.

[0123] Specifically as follows:

[0124] The water area of ​​earthworm-rice co-cultivation was acquired, and a water quality monitoring cycle of the co-cultivation water area was marked during the water quality monitoring process.

[0125] During the water quality monitoring of the earthworm-rice co-cultivation area, several different types of water quality monitoring indicators were set up and labeled as Z1 water quality monitoring indicator to Za water quality monitoring indicator.

[0126] It should be noted here that:

[0127] In this application, Z is the symbol corresponding to the water quality monitoring index, and a is the quantitative value corresponding to the water quality monitoring index, and a is an integer greater than 0.

[0128] The water quality monitoring indicators involved here are specifically water quality indicators related to the growth of rice and earthworms. The Z1 water quality monitoring indicator can be pH value, the Z2 water quality monitoring indicator can be dissolved oxygen, the Z3 water quality monitoring indicator can be nitrogen content, the Z4 water quality monitoring indicator can be phosphorus content, and the Z5 water quality monitoring indicator can be potassium content.

[0129] Z1 water quality monitoring index analysis was conducted on the earthworm-rice co-cultivation water area during the water quality monitoring week of the symbiotic water area, and the Z1 water quality index monitoring deviation ratio was obtained based on the analysis results.

[0130] Specifically as follows:

[0131] The water area for earthworm-rice co-cultivation was divided into several water quality monitoring sub-regions, and a sample water quality monitoring sub-region was selected from the multiple water quality monitoring sub-regions.

[0132] Several water quality monitoring time points were selected during the water quality monitoring cycle of the symbiotic water area. The Z1 water quality monitoring index values ​​corresponding to each water quality monitoring sub-region of the sample water quality were obtained at each water quality monitoring time point. Multiple Z1 water quality index monitoring values ​​were obtained, and the average of the multiple Z1 water quality index monitoring values ​​was calculated to obtain the median value of the Z1 water quality index monitoring corresponding to the sample water quality monitoring sub-region.

[0133] The process of obtaining the median value of Z1 water quality index monitoring for each water quality monitoring sub-region was repeated. The median value of Z1 water quality index monitoring for each water quality monitoring sub-region was obtained, resulting in multiple median values ​​of Z1 water quality index monitoring. The values ​​of the multiple median values ​​of Z1 water quality index monitoring were compared. The median value of Z1 water quality index monitoring with the largest value was marked as the peak value of the periodic water quality index monitoring, and the median value of Z1 water quality index monitoring with the smallest value was marked as the valley value of the periodic water quality index monitoring. The range of values ​​between the peak value and the valley value of the periodic water quality index monitoring was marked as the range of the periodic Z1 water quality index.

[0134] The Z1 cycle water quality index range is divided into several water quality index variation ranges, and the multiple water quality index variation ranges are marked as M1 water quality index variation range to Mb water quality index variation range.

[0135] It should be noted here that:

[0136] In this application, the range of variation of each water quality index referred to herein corresponds to an equal range.

[0137] In this application, M is the symbol corresponding to the range of water quality index variation, b is the quantitative value corresponding to the range of water quality index variation, and b is an integer greater than 0.

[0138] The area of ​​the water quality monitoring sub-region within the range of water quality index variation of M1 is accumulated to obtain the area value of the M1 water quality index region. The area of ​​the water quality monitoring sub-region within the range of water quality index variation of M2 is accumulated to obtain the area value of the M2 water quality index region. And so on, the area of ​​the water quality monitoring sub-region within the range of water quality index variation of Mb is accumulated to obtain the area value of the Mb water quality index region.

[0139] The midpoints of the ranges corresponding to the changes in water quality index M1 and Mb are obtained respectively, thus obtaining the midpoints of the ranges of water quality index M1 and Mb.

[0140] The water area of ​​the earthworm-rice co-cultivation water area was obtained, and the water area value of the earthworm-rice co-cultivation water area was obtained.

[0141] The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are obtained by calculating the midpoint of the M1 water quality index range to the midpoint of the Mb water quality index range, the area values ​​of the M1 water quality index region to the Mb water quality index region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0142] The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are calculated using the following formula:

[0143]

[0144] Among them, Syz is the periodic water area index monitoring value, Smi is the area value of the Mi water quality index region, Qjzi is the median value of the Mi water quality index range, and Sym is the area value of the earthworm-rice co-cultivation water area.

[0145] It should be noted here that:

[0146] In this application, the area value of the Mi water quality index region involved here can be any one of the area values ​​of the M1 water quality index region to the Mb water quality index region, and the median value of the Mi water quality index range involved here can be any one of the median values ​​of the M1 water quality index range to the Mb water quality index range.

[0147] In practice, the following test data exists:

[0148] The measured water area for earthworm-rice co-cultivation was 100m². 2 The median value for the water quality index range is 4.1 for M1, 4.4 for M2, and 4.7 for M3. The area value for the M1 water quality index range is 40m². 2 The area of ​​the M2 water quality index is 20m². 2 The area of ​​the M3 water quality index is 40m². 2 Then, the periodic water area index monitoring value can be calculated to be 4.4.

[0149] Obtain the Z1 water quality monitoring index benchmark range corresponding to the earthworm-rice co-cultivation water area. If the periodic water area index monitoring value is within the Z1 water quality monitoring index benchmark range, then use the value 0 to assign a parameter value to the Z1 water quality index monitoring deviation ratio. If the periodic water area index monitoring value is not within the Z1 water quality monitoring index benchmark range, then calculate the numerical deviation between the periodic water area index monitoring value and the Z1 water quality monitoring index benchmark range, and calculate the ratio of the obtained numerical deviation to the range value of the Z1 water quality monitoring index benchmark range to obtain the Z1 water quality index monitoring deviation ratio.

[0150] It should be noted here that:

[0151] The Z1 water quality monitoring index benchmark range mentioned here is the most suitable Z1 water quality monitoring index range for rice cultivation. The specific parameter values ​​are set as [4.5, 5.5], and the specific values ​​are provided by Baidu Wenku.

[0152] Repeat the process of obtaining the monitoring deviation ratio of water quality index Z1, and obtain the monitoring deviation ratio of water quality index Z2 to water quality index Za respectively, to obtain the monitoring deviation ratio of water quality index Z2 to water quality index Za.

[0153] The monitoring deviation ratios of water quality indicators from Z1 to Za were compared numerically, and the monitoring deviation ratio of the water quality indicator with the largest value was marked as the monitoring deviation ratio of the water quality indicator in the periodic water area.

[0154] The light monitoring module monitors the light in the waters of the earthworm-rice co-cultivation area and sets several different solar light spectra. Based on the monitoring results, the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum is obtained, and the multiple spectral intensity monitoring deviations are comprehensively analyzed to obtain the periodic spectral index monitoring deviation ratio.

[0155] Specifically as follows:

[0156] The water area of ​​earthworm-rice co-cultivation was acquired, and a light monitoring cycle of the co-cultivation water area was marked during the light monitoring process.

[0157] During the process of monitoring the light intensity in the waters where earthworms and rice are co-cultivated, sunlight is analyzed into various different types of spectra, and the set spectra are labeled as G1 solar spectrum to Gc solar spectrum.

[0158] It should be noted here that:

[0159] In this application, G is the symbol corresponding to the solar spectrum, and c is the quantitative value corresponding to the solar spectrum, and c is an integer greater than 0.

[0160] The solar spectrum referred to here specifically refers to the spectral intensity related to the growth of rice and earthworms. The ultraviolet spectrum referred to here, G2 solar spectrum can be the infrared spectrum, and G3 solar spectrum can be the visible light spectrum.

[0161] G1 solar spectrum analysis was performed on the earthworm-rice co-cultivation waters during the symbiotic water light monitoring week, and the G1 spectral intensity monitoring deviation ratio was obtained based on the analysis results.

[0162] Specifically as follows:

[0163] The water area for earthworm-rice co-cultivation was divided into several light monitoring sub-regions, and a sample light monitoring sub-region was selected from the multiple light monitoring sub-regions.

[0164] Several light monitoring time points were selected during the light monitoring cycle of the symbiotic water area. The solar spectral intensity values ​​corresponding to each light monitoring time point of the sample light monitoring sub-region were obtained. Multiple solar spectral intensity values ​​were obtained, and the average of the multiple solar spectral intensity values ​​was calculated to obtain the median value of the G1 spectral intensity monitoring corresponding to the sample light monitoring sub-region.

[0165] The process of obtaining the median value of G1 spectral intensity monitoring corresponding to the sample illumination monitoring sub-region was repeated. The median value of G1 spectral intensity monitoring corresponding to each illumination monitoring sub-region was obtained, resulting in multiple median values ​​of G1 spectral intensity monitoring. The values ​​of the multiple median values ​​of G1 spectral intensity monitoring were compared. The median value of G1 spectral intensity monitoring with the largest value was marked as the peak value of periodic spectral intensity monitoring, and the median value of G1 spectral intensity monitoring with the smallest value was marked as the valley value of periodic spectral intensity monitoring. The range of values ​​between the peak value and the valley value of periodic spectral intensity monitoring was marked as the G1 periodic spectral intensity interval.

[0166] The G1 periodic spectral intensity range is divided into several spectral intensity variation ranges, and these ranges are labeled as N1 spectral intensity variation range to Nd spectral intensity variation range.

[0167] It should be noted here that:

[0168] In this application, the interval ranges corresponding to each range of spectral intensity variation mentioned herein are equal.

[0169] In this application, N is a symbol corresponding to the range of spectral intensity variation, and d is a quantity value corresponding to the range of spectral intensity variation, and d is an integer greater than 0.

[0170] The area of ​​the light monitoring sub-region within the N1 spectral intensity variation range is accumulated to obtain the area value of the N1 spectral intensity region. The area of ​​the light monitoring sub-region within the N2 spectral intensity variation range is accumulated to obtain the area value of the N2 spectral intensity region. And so on, the area of ​​the light monitoring sub-region within the Nd spectral intensity variation range is accumulated to obtain the area value of the Nd spectral intensity region.

[0171] The midpoint values ​​of the ranges corresponding to the N1 spectral intensity variation range and the Nd spectral intensity variation range are obtained respectively, thus obtaining the midpoint values ​​of the N1 spectral intensity range and the Nd spectral intensity range;

[0172] The water area of ​​the earthworm-rice co-cultivation water area was obtained, and the water area value of the earthworm-rice co-cultivation water area was obtained.

[0173] The periodic spectral index monitoring values ​​corresponding to the G1 solar spectrum are obtained by calculating the values ​​from the median value of the N1 spectral intensity range to the median value of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area.

[0174] The monitoring values ​​of the periodic spectral index corresponding to the G1 solar spectrum are calculated using the following formula:

[0175]

[0176] Wherein, Gyz is the periodic spectral index monitoring value, Gmi is the area value of the Ni spectral intensity region, Gjzi is the median value of the Ni spectral intensity range, and Sym is the area value of the water area in earthworm-rice co-cultivation.

[0177] It should be noted here that:

[0178] In this application, the area value of the Ni spectral intensity region involved herein can be any one of the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the median value of the Ni spectral intensity range involved herein can be any one of the median values ​​of the N1 spectral intensity range to the Nd spectral intensity range.

[0179] In practice, the following test data exists:

[0180] The measured water area for earthworm-rice co-cultivation was 100m². 2 The median value of the N1 spectral intensity range is 100 μW / cm. 2 The median value of the N2 spectral intensity range is 150 μW / cm. 2 The median value of the N3 spectral intensity range is 200 μW / cm. 2 The area of ​​the N1 spectral intensity region is 40m². 2 The area of ​​the N2 spectral intensity region is 20m². 2 The area of ​​the N3 spectral intensity region is 40m². 2 The periodic spectral index monitoring value can then be calculated to be 150 μW / cm. 2 .

[0181] Obtain the G1 solar spectral reference range corresponding to the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring value is within the G1 solar spectral reference range, assign the parameter value 0 to the G1 spectral intensity monitoring deviation ratio. If the periodic spectral index monitoring value is not within the G1 solar spectral reference range, calculate the numerical deviation between the periodic spectral index monitoring value and the G1 solar spectral reference range, and calculate the ratio of the obtained numerical deviation to the range value of the G1 solar spectral reference range to obtain the G1 spectral intensity monitoring deviation ratio.

[0182] It should be noted here that:

[0183] The G1 solar spectrum reference range mentioned here is the most suitable G1 solar spectrum range for rice cultivation. The specific parameter values ​​are set to [4.5, 5.5], and the specific values ​​are provided by Baidu Wenku.

[0184] Repeat the process of obtaining the spectral intensity monitoring deviation ratio of G1, and obtain the spectral intensity monitoring deviation ratios corresponding to the solar spectrum from G2 to Gc respectively, to obtain the spectral intensity monitoring deviation ratio from G2 to Gc.

[0185] The numerical comparison between the G1 spectral intensity monitoring deviation ratio and the Gc spectral intensity monitoring deviation ratio was performed, and the spectral intensity monitoring deviation ratio with the largest value was marked as the periodic spectral index monitoring deviation ratio.

[0186] The cycle optimization module optimizes the earthworm-rice co-cultivation water area based on the periodic spectral index monitoring deviation ratio and the periodic water area index monitoring deviation ratio.

[0187] Specifically as follows:

[0188] Obtain the monitoring deviation ratio of periodic spectral indicators and the monitoring deviation ratio of periodic water area indicators;

[0189] Obtain the baseline range of periodic spectral index monitoring deviation. If the ratio of periodic spectral index monitoring deviation is within the baseline range, there is no need to block sunlight in the earthworm-rice co-cultivation water area. If the ratio of periodic spectral index monitoring deviation is not within the baseline range, then it is necessary to block sunlight in the earthworm-rice co-cultivation water area.

[0190] Obtain the baseline range of the periodic water area indicator monitoring deviation. If the periodic water area indicator monitoring deviation ratio is within the baseline range, there is no need to replace the water in the earthworm-rice co-cultivation area. If the periodic water area indicator monitoring deviation ratio is not within the baseline range, then the water in the earthworm-rice co-cultivation area needs to be replaced.

[0191] It should be noted here that:

[0192] In this application, the sunshade referred to herein specifically refers to opening a sunshade curtain.

[0193] The baseline range for the monitoring deviation of periodic spectral indicators was obtained, as follows:

[0194] The lower limit of the benchmark interval for periodic spectral index monitoring deviation is 0, meaning there is no spectral index monitoring deviation.

[0195] The historical periods during which the cyclic working system did not block sunlight or replace water in the earthworm-rice co-cultivation water area were obtained. The periodic spectral index monitoring deviation ratio corresponding to each historical period was obtained, and the periodic spectral index monitoring deviation ratio with the smallest value was marked as the upper limit of the periodic spectral index monitoring deviation benchmark interval.

[0196] The baseline range for the periodic water area indicator monitoring deviation is obtained as follows:

[0197] The lower limit of the baseline interval for the periodic water area indicator monitoring deviation is 0, meaning there is no water area indicator monitoring deviation.

[0198] The historical periods during which the cyclical working system did not block sunlight or replace water in the earthworm-rice co-cultivation water area were obtained. The periodic water area indicator monitoring deviation ratio corresponding to each historical period was obtained, and the periodic water area indicator monitoring deviation ratio with the smallest value was marked as the upper limit of the periodic water area indicator monitoring deviation benchmark interval.

[0199] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for optimizing the ecological cycle of earthworm-rice co-cultivation, characterized in that, include: Step S1: Conduct water quality monitoring in the earthworm-rice co-cultivation area, set up several different types of water quality monitoring indicators, obtain the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator based on the monitoring results, and conduct a comprehensive analysis of the obtained multiple water quality indicator monitoring deviations to obtain the periodic water area indicator monitoring deviation ratio. Step S2: Conduct light monitoring on the water area of ​​earthworm-rice co-cultivation, set up several different types of solar light spectra, obtain the spectral intensity monitoring deviation ratio corresponding to each type of solar light spectrum according to the monitoring results, and conduct a comprehensive analysis of the obtained multiple spectral intensity monitoring deviations to obtain the periodic spectral index monitoring deviation ratio. Step S3: Optimize the earthworm-rice co-cultivation water area based on the periodic spectral index monitoring deviation ratio and the periodic water area index monitoring deviation ratio; Step S1 further includes the following specific steps: Step S11: Obtain the water area for earthworm-rice co-cultivation. During the water quality monitoring of the earthworm-rice co-cultivation water area, mark a water quality monitoring cycle for the co-cultivation water area. Step S12: During the water quality monitoring of the earthworm-rice co-cultivation area, set water quality monitoring indicators Z1 to Za. Step S13: Analyze the Z1 water quality monitoring indicators in the earthworm-rice co-cultivation waters during the water quality monitoring week of the symbiotic waters, and obtain the Z1 water quality indicator monitoring deviation ratio based on the analysis results; Step S14: Obtain the water quality monitoring deviation ratios corresponding to the Z2 water quality monitoring index and the Za water quality monitoring index respectively, and obtain the Z2 water quality index monitoring deviation ratio to the Za water quality index monitoring deviation ratio; Step S15: Compare the monitoring deviation ratios of water quality indicators from Z1 to Za, and mark the monitoring deviation ratio of the water quality indicator with the largest value as the monitoring deviation ratio of the periodic water area. Step S2 further includes the following specific steps: Step S21: Obtain the water area for earthworm-rice co-cultivation. During the process of monitoring the light intensity of the earthworm-rice co-cultivation water area, mark a light intensity monitoring cycle for the co-cultivation water area. Step S22: During the process of monitoring the light intensity in the water area of ​​earthworm-rice co-cultivation, the sunlight is resolved into the G1 solar spectrum to the Gc solar spectrum. Step S23: Perform G1 solar spectrum analysis on the earthworm-rice co-cultivation waters during the symbiotic waters light monitoring week, and obtain the G1 spectral intensity monitoring deviation ratio based on the analysis results; Step S24: Obtain the spectral intensity monitoring deviation ratios corresponding to the G2 solar spectrum and the Gc solar spectrum respectively, and obtain the G2 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio; Step S25: Compare the values ​​of the G1 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio, and mark the spectral intensity monitoring deviation ratio with the largest value as the periodic spectral index monitoring deviation ratio.

2. The method for optimizing the ecological cycle of earthworm-rice co-cultivation according to claim 1, characterized in that, Step S13 further includes the following specific steps: Step S131: Divide the earthworm-rice co-cultivation water area into several water quality monitoring sub-regions, and select a sample water quality monitoring sub-region from the divided water quality monitoring sub-regions. Step S132: Select several water quality monitoring time points in the water quality monitoring cycle of the symbiotic water area, obtain the Z1 water quality monitoring index values ​​corresponding to each water quality monitoring time point of the sample water quality monitoring sub-region, obtain multiple Z1 water quality index monitoring values, and calculate the average of the multiple Z1 water quality index monitoring values ​​to obtain the median value of the Z1 water quality index monitoring corresponding to the sample water quality monitoring sub-region. Step S133: Obtain the median value of Z1 water quality index monitoring for each water quality monitoring sub-region, and obtain multiple median values ​​of Z1 water quality index monitoring. Mark the median value of Z1 water quality index monitoring with the largest value as the peak value of periodic water quality index monitoring, mark the median value of Z1 water quality index monitoring with the smallest value as the valley value of periodic water quality index monitoring, and mark the range of values ​​between the peak value and the valley value of periodic water quality index monitoring as the range of periodic Z1 water quality index. Step S134: Divide the Z1 cycle water quality index range into the M1 water quality index variation range to the Mb water quality index variation range. Step S135: Analyze the water quality monitoring sub-regions within the range of variation of water quality index M1 to Mb, and obtain the periodic water area index monitoring values ​​corresponding to water quality monitoring index Z1. Step S136: Obtain the Z1 water quality monitoring index benchmark interval corresponding to the earthworm-rice co-cultivation water area. If the periodic water area index monitoring value is within the Z1 water quality monitoring index benchmark interval, then use the value 0 to assign a parameter value to the Z1 water quality index monitoring deviation ratio. If the periodic water area index monitoring value is not within the Z1 water quality monitoring index benchmark interval, then calculate the numerical deviation between the periodic water area index monitoring value and the Z1 water quality monitoring index benchmark interval, and calculate the ratio of the obtained numerical deviation to the range value of the Z1 water quality monitoring index benchmark interval to obtain the Z1 water quality index monitoring deviation ratio.

3. The method for optimizing the ecological cycle of earthworm-rice co-cultivation according to claim 2, characterized in that, Step S135 further includes the following specific steps: The area of ​​the water quality monitoring sub-region within the range of M1 water quality index variation is accumulated to obtain the area value of the M1 water quality index region. Similarly, the area of ​​the water quality monitoring sub-region within the range of Mb water quality index variation is accumulated to obtain the area value of the Mb water quality index region. The midpoints of the ranges corresponding to the changes in water quality index M1 and Mb are obtained respectively, thus obtaining the midpoints of the ranges of water quality index M1 and Mb. The water area of ​​the earthworm-rice co-cultivation water area was obtained, and the water area value of the earthworm-rice co-cultivation water area was obtained. The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are obtained by calculating the midpoint of the M1 water quality index range to the midpoint of the Mb water quality index range, the area values ​​of the M1 water quality index region to the Mb water quality index region, and the area values ​​of the earthworm-rice co-cultivation water area. The periodic water quality monitoring values ​​corresponding to the Z1 water quality monitoring index are calculated.

4. The method for optimizing the ecological cycle of earthworm-rice co-cultivation according to claim 3, characterized in that, Step S23 further includes the following specific steps: Step S231: Divide the intensity range of the G1 solar spectrum to obtain the range of N1 spectral intensity variation to the range of Nd spectral intensity variation; Step S232: Accumulate the area of ​​the illumination monitoring sub-region within the N1 spectral intensity variation range to obtain the area value of the N1 spectral intensity region; accumulate the area of ​​the illumination monitoring sub-region within the Nd spectral intensity variation range to obtain the area value of the Nd spectral intensity region. Step S233: Obtain the midpoint values ​​of the ranges corresponding to the N1 spectral intensity variation range to the Nd spectral intensity variation range respectively, to obtain the midpoint values ​​of the N1 spectral intensity range to the Nd spectral intensity range; Step S234: Obtain the water area of ​​the earthworm-rice co-cultivation water area and get the water area value of the earthworm-rice co-cultivation water area; Step S235: Obtain periodic spectral index monitoring values ​​based on the midpoint of the N1 spectral intensity range to the midpoint of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area. Step S236: Obtain the G1 solar spectral reference range corresponding to the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring value is within the G1 solar spectral reference range, assign the parameter value 0 to the G1 spectral intensity monitoring deviation ratio. If the periodic spectral index monitoring value is not within the G1 solar spectral reference range, calculate the numerical deviation between the periodic spectral index monitoring value and the G1 solar spectral reference range, and calculate the ratio of the obtained numerical deviation to the range value of the G1 solar spectral reference range to obtain the G1 spectral intensity monitoring deviation ratio.

5. The method for optimizing the ecological cycle of earthworm-rice co-cultivation according to claim 4, characterized in that, Step S231 further includes the following specific steps: The water area for earthworm-rice co-cultivation was divided into several light monitoring sub-regions, and a sample light monitoring sub-region was selected from the multiple light monitoring sub-regions. Several light monitoring time points were selected during the light monitoring cycle of the symbiotic water area. The solar spectral intensity values ​​corresponding to each light monitoring time point of the sample light monitoring sub-region were obtained. Multiple solar spectral intensity values ​​were obtained, and the average of the multiple solar spectral intensity values ​​was calculated to obtain the median value of the G1 spectral intensity monitoring corresponding to the sample light monitoring sub-region. The median value of G1 spectral intensity monitoring corresponding to each illumination monitoring sub-region is obtained. The median value of G1 spectral intensity monitoring with the largest value is marked as the peak value of periodic spectral intensity monitoring, and the median value of G1 spectral intensity monitoring with the smallest value is marked as the valley value of periodic spectral intensity monitoring. The range of values ​​between the peak value and the valley value of periodic spectral intensity monitoring is marked as the G1 periodic spectral intensity interval. The G1 periodic spectral intensity range is divided into several spectral intensity variation ranges, and these ranges are labeled as N1 spectral intensity variation range to Nd spectral intensity variation range.

6. The method for optimizing the ecological cycle of earthworm-rice co-cultivation according to claim 5, characterized in that, Step S235 further includes the following specific steps: The periodic spectral index monitoring values ​​corresponding to the G1 solar spectrum are obtained by calculating the values ​​from the median value of the N1 spectral intensity range to the median value of the Nd spectral intensity range, the area values ​​of the N1 spectral intensity region to the Nd spectral intensity region, and the area values ​​of the earthworm-rice co-cultivation water area. The monitoring values ​​of the periodic spectral index corresponding to the G1 solar spectrum are calculated.

7. The method for optimizing the ecological cycle of earthworm-rice co-cultivation according to claim 1, characterized in that, Step S3 further includes the following specific steps: Obtain the monitoring deviation ratio of periodic spectral indicators and the monitoring deviation ratio of periodic water area indicators; Obtain the baseline range of periodic spectral index monitoring deviation. If the ratio of periodic spectral index monitoring deviation is within the baseline range, there is no need to block sunlight in the earthworm-rice co-cultivation water area. If the ratio of periodic spectral index monitoring deviation is not within the baseline range, then it is necessary to block sunlight in the earthworm-rice co-cultivation water area. Obtain the baseline range of the periodic water area indicator monitoring deviation. If the periodic water area indicator monitoring deviation ratio is within the baseline range, there is no need to replace the water in the earthworm-rice co-cultivation area. If the periodic water area indicator monitoring deviation ratio is not within the baseline range, then the water in the earthworm-rice co-cultivation area needs to be replaced.

8. An earthworm-rice co-cultivation ecological cycle optimization system, applicable to the earthworm-rice co-cultivation ecological cycle optimization method according to any one of claims 1-7, characterized in that, The optimization system includes: Water quality monitoring module: Water quality monitoring is carried out in the earthworm-rice co-cultivation area, and several different types of water quality monitoring indicators are set. Based on the monitoring results, the water quality indicator monitoring deviation ratio corresponding to each water quality monitoring indicator is obtained, and the monitoring deviation ratio of multiple water quality indicators is comprehensively analyzed to obtain the periodic water area indicator monitoring deviation ratio. Light monitoring module: Light monitoring is carried out in the water area of ​​earthworm-rice co-cultivation, and several different types of solar light spectra are set. Based on the monitoring results, the spectral intensity monitoring deviation ratio corresponding to each solar light spectrum is obtained, and the multiple spectral intensity monitoring deviations are comprehensively analyzed to obtain the periodic spectral index monitoring deviation ratio. Cyclic optimization module: The earthworm-rice co-cultivation water area is cyclically optimized based on the monitoring deviation ratio of periodic spectral indicators and the monitoring deviation ratio of periodic water indicators.

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