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

Abstract

The invention discloses an earthworm and rice co-culture ecological cycle optimization method and system, relates to the field of biology, solves the problem that an existing ecological cycle optimization method is poor in optimization effect, and comprises the steps that S1, water quality monitoring is conducted on an earthworm and rice co-culture water area, and a plurality of different water quality monitoring indexes are set and monitored respectively; s2, carrying out illumination monitoring on the auriculate dichrocephala-rice co-cropping water area, setting a plurality of different sunlight spectrums, respectively monitoring the sunlight spectrums, obtaining a periodic spectrum index monitoring deviation ratio according to the monitoring result, and obtaining a periodic water area index monitoring deviation ratio according to the periodic spectrum index monitoring deviation ratio; s3, loop optimization is conducted on the earthworm and rice co-cropping water area according to the periodic spectrum index monitoring deviation ratio and the periodic water area index monitoring deviation ratio, the accuracy of the data monitoring result is improved, and therefore the ecological loop optimization effect is improved.

Description

Technical Field

[0001] The present invention belongs to the field of biology, relates to biosensor technology, and specifically is an ecological cycle optimization method and system for co-cultivation of earthworms and rice. Background Art

[0002] When the existing ecological cycle optimization methods are used to optimize the ecological cycle of the water area for co-cultivation of earthworms and rice, the following specific defects exist:

[0003] 1. The existing ecological cycle optimization methods cannot set several different water quality monitoring indicators, cannot respectively obtain the water quality index monitoring deviation ratios corresponding to each water quality monitoring indicator according to the monitoring results, and do not comprehensively analyze the obtained multiple water quality index monitoring deviations, resulting in the lack of accuracy of the ecological water quality monitoring results;

[0004] 2. The existing ecological cycle optimization methods cannot set several different sunlight spectra, cannot respectively obtain the spectral intensity monitoring deviation ratios corresponding to each sunlight spectrum according to the monitoring results, and do not comprehensively analyze the obtained multiple spectral intensity monitoring deviations, resulting in the lack of accuracy of the ecological light monitoring results.

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

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an ecological cycle optimization method and system for co-cultivation of earthworms and rice. The present invention aims to improve the accuracy of the ecological cycle optimization method for environmental monitoring, thereby improving the ecological cycle efficiency.

[0007] To achieve the above purpose, the present invention adopts the following technical solutions: An ecological cycle optimization method for co-cultivation of earthworms and rice, characterized by including the following specific steps:

[0008] Step S1: Conduct water quality monitoring on the water area for co-cultivation of earthworms and rice, set several different water quality monitoring indicators, respectively obtain the water quality index monitoring deviation ratios corresponding to each water quality monitoring indicator according to the monitoring results, and comprehensively analyze the obtained multiple water quality index monitoring deviations to obtain the periodic water area index monitoring deviation ratio;

[0009] Step S2: Conduct light monitoring on the water area for co-cultivation of earthworms and rice, set several different sunlight spectra, respectively obtain the spectral intensity monitoring deviation ratios corresponding to each sunlight spectrum according to the monitoring results, and comprehensively analyze the obtained multiple spectral intensity monitoring deviations to obtain the periodic spectral index monitoring deviation ratio;

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

[0011] Further, in the said step S1, it further includes the following specific steps:

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

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

[0014] Step S13: Analyze the Z1 water quality monitoring indicator of the earthworm - rice co - cultivation water area during the symbiotic water area water quality monitoring cycle, and obtain the Z1 water quality indicator monitoring deviation ratio according to the analysis result.

[0015] Step S14: Respectively obtain the water quality indicator monitoring deviation ratios corresponding to the Z2 water quality monitoring indicator to Za water quality monitoring indicator, and get the Z2 water quality indicator monitoring deviation ratio to Za water quality indicator monitoring deviation ratio.

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

[0017] Further, in the said step S13, it further includes the following specific steps:

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

[0019] Step S132: Select several water quality monitoring time points during the symbiotic water area water quality monitoring cycle, respectively obtain the Z1 water quality monitoring indicator values corresponding to each water quality monitoring time point of the sample water quality monitoring sub - area, get a plurality of Z1 water quality indicator monitoring values, arrange the obtained plurality of Z1 water quality indicator monitoring values in descending order to obtain a water quality monitoring indicator array, and obtain the median of the water quality monitoring indicator array to get the Z1 water quality indicator monitoring median value corresponding to the sample water quality monitoring sub - area.

[0020] Step S133: Obtain the median value of the Z1 water quality index monitoring corresponding to each water quality monitoring sub-region respectively, to obtain multiple median values of the Z1 water quality index monitoring, and compare the magnitudes of the obtained multiple median values of the Z1 water quality index monitoring. Mark the median value of the Z1 water quality index monitoring with the largest value as the peak value of the periodic water quality index monitoring, mark the median value of the Z1 water quality index monitoring with the smallest value as the trough value of the periodic water quality index monitoring, and mark the numerical range between the peak value of the periodic water quality index monitoring and the trough value of the periodic water quality index monitoring as the periodic Z1 water quality index range;

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

[0022] Step S135: Analyze the water quality monitoring sub-regions in the M1 water quality index change range to the Mb water quality index change range to obtain the periodic water area index monitoring values corresponding to the Z1 water quality monitoring index;

[0023] Step S136: Obtain the baseline interval of the Z1 water quality monitoring index 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 baseline interval, assign the parameter value 0 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 baseline interval, calculate the numerical deviation between the periodic water area index monitoring value and the Z1 water quality monitoring index baseline interval, and calculate the ratio of the obtained numerical deviation to the range value of the Z1 water quality monitoring index baseline interval to obtain the Z1 water quality index monitoring deviation ratio.

[0024] Further, in the said Step S135, it further includes the following specific steps:

[0025] Accumulate the areas of the water quality monitoring sub-regions in the M1 water quality index change range to obtain the M1 water quality index area numerical value, accumulate the areas of the water quality monitoring sub-regions in the M2 water quality index change range to obtain the M2 water quality index area numerical value, and so on, accumulate the areas of the water quality monitoring sub-regions in the Mb water quality index change range to obtain the Mb water quality index area numerical value;

[0026] Obtain the range intermediate values corresponding to the M1 water quality index change range to the Mb water quality index change range respectively to obtain the M1 water quality index range intermediate value to the Mb water quality index range intermediate value;

[0027] Obtain the water area of the earthworm-rice co-cultivation water area to obtain the earthworm-rice co-cultivation water area numerical value;

[0028] The intermediate value of the M1 water quality index range to the intermediate value of the Mb water quality index range, the numerical value of the M1 water quality index area to the numerical value of the Mb water quality index area, and the numerical value of the area of the rice-earthworm co-cultivation water area are calculated to obtain the monitoring value of the periodic water area index corresponding to the Z1 water quality monitoring index;

[0029] Calculate the monitoring value of the periodic water area index corresponding to the Z1 water quality monitoring index.

[0030] Furthermore, in the step S2, the following specific steps are further included:

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

[0032] Step S22: During the process of monitoring the light of the rice-earthworm co-cultivation water area, resolve the sunlight into various different types of spectra, and mark the set spectra as G1 sunlight spectrum to Gc sunlight spectrum respectively;

[0033] Step S23: Analyze the G1 sunlight spectrum of the rice-earthworm co-cultivation water area in the symbiotic water area light monitoring cycle, and obtain the G1 spectrum intensity monitoring deviation ratio according to the analysis result;

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

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

[0036] Furthermore, in the step S23, the following specific steps are further included:

[0037] Step S231: Divide the intensity range of the G1 sunlight spectrum to obtain the N1 spectrum intensity change range to the Nd spectrum intensity change range;

[0038] Step S232: Accumulate the areas of the light monitoring sub-regions in the N1 spectrum intensity change range to obtain the N1 spectrum intensity area numerical value, accumulate the areas of the light monitoring sub-regions in the N2 spectrum intensity change range to obtain the N2 spectrum intensity area numerical value, and so on, accumulate the areas of the light monitoring sub-regions in the Nd spectrum intensity change range to obtain the Nd spectrum intensity area numerical value;

[0039] Step S233: Obtain the range median values corresponding to the spectral intensity change ranges from N1 to Nd respectively, to obtain the median value of the spectral intensity range from N1 to the median value of the spectral intensity range of Nd;

[0040] Step S234: Obtain the water area of the earthworm - rice co - cultivation water area to obtain the numerical value of the earthworm - rice co - cultivation water area;

[0041] Step S235: Obtain the periodic spectral index monitoring value according to the median value of the spectral intensity range from N1 to Nd, the area numerical value of the spectral intensity region from N1 to Nd, and the numerical value of the earthworm - rice co - cultivation water area;

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

[0043] Furthermore, in step S231, the following specific steps are further included:

[0044] Divide the earthworm - rice co - cultivation water area into several light - monitoring sub - regions, and select a sample light - monitoring sub - region from the divided multiple light - monitoring sub - regions;

[0045] Select several light - monitoring time points during the light - monitoring period of the symbiotic water area, and respectively obtain the solar spectrum intensity values corresponding to each light - monitoring time point in the sample light - monitoring sub - region to obtain multiple solar spectrum intensity values. Then, sort the obtained multiple solar spectrum intensity values in descending order to obtain the sorted array of solar spectrum intensity values. Obtain the median value of the G1 spectral intensity monitoring corresponding to the sample light - monitoring sub - region from the sorted array of solar spectrum intensity values;

[0046] Repeat the process of obtaining the median value of the G1 spectral intensity monitoring corresponding to the sample illumination monitoring sub-region, respectively obtain the median value of the G1 spectral intensity monitoring corresponding to each illumination monitoring sub-region, obtain multiple median values of the G1 spectral intensity monitoring, compare the numerical magnitudes of the obtained multiple median values of the G1 spectral intensity monitoring, mark the median value of the G1 spectral intensity monitoring with the largest numerical value as the peak value of the periodic spectral intensity monitoring, mark the median value of the G1 spectral intensity monitoring with the smallest numerical value as the trough value of the periodic spectral intensity monitoring, and mark the numerical range between the peak value of the periodic spectral intensity monitoring and the trough value of the periodic spectral intensity monitoring as the G1 periodic spectral intensity interval;

[0047] Divide the G1 periodic spectral intensity interval into several spectral intensity change ranges, and respectively mark the divided multiple spectral intensity change ranges as the N1 spectral intensity change range to the Nd spectral intensity change range.

[0048] Further, in the step S235, the following specific steps are further included:

[0049] Calculate the periodic spectral index monitoring value corresponding to the G1 sunlight spectrum from the intermediate value of the N1 spectral intensity range to the intermediate value of the Nd spectral intensity range, the numerical value of the N1 spectral intensity region area to the numerical value of the Nd spectral intensity region area, and the numerical value of the area of the earthworm-rice co-cultivation water area;

[0050] Calculate the periodic spectral index monitoring value corresponding to the G1 sunlight spectrum.

[0051] Further, in the step S3, the following specific steps are further included:

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

[0053] Obtain the periodic spectral index monitoring deviation reference interval. If the periodic spectral index monitoring deviation ratio is within the periodic spectral index monitoring deviation reference interval, there is no need to block the sunlight on the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring deviation ratio is not within the periodic spectral index monitoring deviation reference interval, it is necessary to block the sunlight on the earthworm-rice co-cultivation water area;

[0054] Obtain the periodic water area index monitoring deviation reference interval. If the periodic water area index monitoring deviation ratio is within the periodic water area index monitoring deviation reference interval, there is no need to replace the water body in the earthworm-rice co-cultivation water area. If the periodic water area index monitoring deviation ratio is not within the periodic water area index monitoring deviation reference interval, it is necessary to replace the water body in the earthworm-rice co-cultivation water area.

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

[0056] Water quality monitoring module: Monitor the water quality of the earthworm - rice co - cultivation water area, set several different water quality monitoring indicators, respectively obtain the water quality index monitoring deviation ratio corresponding to each water quality monitoring indicator according to the monitoring results, and comprehensively analyze the obtained multiple water quality index monitoring deviations to obtain the periodic water area index monitoring deviation ratio;

[0057] Light monitoring module: Monitor the light of the earthworm - rice co - cultivation water area, set several different sunlight spectra, respectively obtain the spectral intensity monitoring deviation ratio corresponding to each sunlight spectrum according to the monitoring results, and comprehensively analyze the obtained multiple spectral intensity monitoring deviations to obtain the periodic spectral index monitoring deviation ratio;

[0058] The cycle optimization module optimizes the earthworm - rice co - cultivation water area according to 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 - mentioned technical solutions, the beneficial effects of the present invention are:

[0060] 1. By setting several different water quality monitoring indicators and comprehensively analyzing the obtained multiple water quality index monitoring deviations by respectively obtaining the water quality index monitoring deviation ratio corresponding to each water quality monitoring indicator according to the monitoring results, the present invention improves the lack of accuracy in ecological water quality monitoring results;

[0061] 2. By setting several different sunlight spectra and comprehensively analyzing the obtained multiple spectral intensity monitoring deviations by respectively obtaining the spectral intensity monitoring deviation ratio corresponding to each sunlight spectrum according to the monitoring results, the present invention improves the lack of accuracy in ecological light monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the drawings.

[0063] Figure 1 It is the implementation step diagram of the present invention;

[0064] Figure 2 It is the overall system block diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0065] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0066] Embodiment 1

[0067] Please refer toFigure 1 , the water area index monitoring device in the present invention belongs to a biosensor, and provides a technical solution: an optimization method for the ecological cycle of earthworm and rice co-culture, including the following specific steps:

[0068] Step S1: Monitor the water quality of the earthworm-rice co-culture water area, set several different water quality monitoring indicators, obtain the water quality index monitoring deviation ratios corresponding to each water quality monitoring indicator according to the monitoring results, and comprehensively analyze the obtained multiple water quality index monitoring deviations to obtain the periodic water area index monitoring deviation ratio;

[0069] In the step S1, the following specific steps are further included:

[0070] Step S11: Obtain the earthworm-rice co-culture water area. During the process of monitoring the water quality of the earthworm-rice co-culture water area, mark a symbiotic water area water quality monitoring cycle;

[0071] Step S12: During the process of monitoring the water quality of the earthworm-rice co-culture water area, set several different types of water quality monitoring indicators, and mark the set several water quality monitoring indicators as Z1 water quality monitoring indicator to Za water quality monitoring indicator respectively;

[0072] Step S13: Analyze the Z1 water quality monitoring indicator of the earthworm-rice co-culture water area in the symbiotic water area water quality monitoring cycle, and obtain the Z1 water quality index monitoring deviation ratio according to the analysis result;

[0073] In the step S13, the following specific steps are further included:

[0074] Step S131: Divide the earthworm-rice co-culture water area into several water quality monitoring sub-areas, and select a sample water quality monitoring sub-area from the divided multiple water quality monitoring sub-areas;

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

[0076] Step S133: Obtain the median value of the Z1 water quality index corresponding to each water quality monitoring sub-region respectively, obtaining multiple median values of the Z1 water quality index, and compare the magnitudes of the obtained multiple median values of the Z1 water quality index. Mark the median value of the Z1 water quality index with the largest value as the peak value of the periodic water quality index monitoring, mark the median value of the Z1 water quality index with the smallest value as the trough value of the periodic water quality index monitoring, and mark the numerical range between the peak value of the periodic water quality index monitoring and the trough value of the periodic water quality index monitoring as the periodic Z1 water quality index range;

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

[0078] Step S135: Analyze the water quality monitoring sub-regions within the M1 water quality index change range to the Mb water quality index change range, obtaining the periodic water area index monitoring values corresponding to the Z1 water quality monitoring index;

[0079] In the said Step S135, it further includes the following specific steps:

[0080] Accumulate the areas of the water quality monitoring sub-regions within the M1 water quality index change range to obtain the M1 water quality index area numerical value, accumulate the areas of the water quality monitoring sub-regions within the M2 water quality index change range to obtain the M2 water quality index area numerical value, and so on, accumulate the areas of the water quality monitoring sub-regions within the Mb water quality index change range to obtain the Mb water quality index area numerical value;

[0081] Obtain the range intermediate values corresponding to the M1 water quality index change range to the Mb water quality index change range respectively, obtaining the M1 water quality index range intermediate value to the Mb water quality index range intermediate value;

[0082] Obtain the water area of the rice-earthworm co-cultivation water area, obtaining the rice-earthworm co-cultivation water area numerical value;

[0083] Calculate the periodic water area index monitoring values corresponding to the Z1 water quality monitoring index through the M1 water quality index range intermediate value to the Mb water quality index range intermediate value, the M1 water quality index area numerical value to the Mb water quality index area numerical value, and the rice-earthworm co-cultivation water area numerical value;

[0084] Calculate the periodic water area index monitoring values corresponding to the Z1 water quality monitoring index, and the specific formula is as follows:

[0085]

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

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

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

[0089] Step S15: Compare the numerical values of the monitoring deviation ratios of the Z1 water quality index to the Za water quality index, and mark the water quality index monitoring deviation ratio with the largest numerical value as the monitoring deviation ratio of the periodic water area index;

[0090] Step S2: Monitor the light in the earthworm-rice co-cultivation water area, set several different sunlight spectra, obtain the monitoring deviation ratio of the spectral intensity corresponding to each sunlight spectrum according to the monitoring results, and comprehensively analyze the obtained multiple spectral intensity monitorings to obtain the monitoring deviation ratio of the periodic spectral index;

[0091] In the said step S2, the following specific steps are further included:

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

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

[0094] Step S23: Analyze the G1 sunlight spectrum of the earthworm-rice co-cultivation water area in the symbiotic water area light monitoring week, and obtain the G1 spectral intensity monitoring deviation ratio according to the analysis results;

[0095] In the said step S23, the following specific steps are further included:

[0096] Step S231: Divide the G1 sunlight spectrum into intensity ranges to obtain the N1 spectral intensity change range to the Nd spectral intensity change range;

[0097] In step S231, the following specific steps are further included:

[0098] Divide the rice-earthworm co-cultivation water area into several light monitoring sub-areas, and select a sample light monitoring sub-area from the divided multiple light monitoring sub-areas;

[0099] Select several light monitoring time points during the light monitoring period of the co-cultivation water area, respectively obtain the sunlight spectral intensity values corresponding to each light monitoring time point in the sample light monitoring sub-area, obtain a plurality of sunlight spectral intensity values, and calculate the average of the obtained plurality of sunlight spectral intensity values to obtain the G1 spectral intensity monitoring median value corresponding to the sample light monitoring sub-area;

[0100] Repeat the process of obtaining the G1 spectral intensity monitoring median value corresponding to the sample light monitoring sub-area, respectively obtain the G1 spectral intensity monitoring median values corresponding to each light monitoring sub-area, obtain a plurality of G1 spectral intensity monitoring median values, and compare the magnitudes of the obtained plurality of G1 spectral intensity monitoring median values. Mark the G1 spectral intensity monitoring median value with the largest value as the periodic spectral intensity monitoring peak value, mark the G1 spectral intensity monitoring median value with the smallest value as the periodic spectral intensity monitoring valley value, and mark the numerical range between the periodic spectral intensity monitoring peak value and the periodic spectral intensity monitoring valley value as the G1 periodic spectral intensity range;

[0101] Divide the G1 periodic spectral intensity range into several spectral intensity change ranges, and respectively mark the divided multiple spectral intensity change ranges as the N1 spectral intensity change range to the Nd spectral intensity change range;

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

[0103] Step S233: Respectively obtain the range intermediate values corresponding to the N1 spectral intensity change range to the Nd spectral intensity change range to obtain the N1 spectral intensity range intermediate value to the Nd spectral intensity range intermediate value;

[0104] Step S234: Obtain the water area of the rice-earthworm co-cultivation water area to obtain the rice-earthworm co-cultivation water area value;

[0105] Step S235: Obtain the periodic spectral index monitoring value based on the median value of the N1 spectral intensity range to the median value of the Nd spectral intensity range, the numerical value of the N1 spectral intensity region area to the numerical value of the Nd spectral intensity region area, and the numerical value of the earthworm-rice co-cultivation water area value;

[0106] In the step S235, the following specific steps are further included:

[0107] Calculate the periodic spectral index monitoring value corresponding to the G1 sunlight spectrum from the median value of the N1 spectral intensity range to the median value of the Nd spectral intensity range, the numerical value of the N1 spectral intensity region area to the numerical value of the Nd spectral intensity region area, and the numerical value of the earthworm-rice co-cultivation water area value;

[0108] Calculate the periodic spectral index monitoring value corresponding to the G1 sunlight spectrum. The specific formula is as follows:

[0109]

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

[0111] Step S236: Obtain the G1 sunlight spectrum reference interval corresponding to the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring value is within the G1 sunlight spectrum reference interval, 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 sunlight spectrum reference interval, calculate the numerical deviation between the periodic spectral index monitoring value and the value in the G1 sunlight spectrum reference interval, and calculate the ratio of the obtained numerical deviation to the range value of the G1 sunlight spectrum reference interval to obtain the G1 spectral intensity monitoring deviation ratio;

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

[0113] Step S25: Compare the numerical 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 numerical value as the periodic spectral index monitoring deviation ratio;

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

[0115] In the step S3, the following specific steps are further included:

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

[0117] Obtain the benchmark interval for monitoring the deviation of periodic spectral indicators. If the monitoring deviation ratio of periodic spectral indicators is within the benchmark interval for monitoring the deviation of periodic spectral indicators, there is no need to shade the sun rays from the earthworm-rice co-cultivation water area. If the monitoring deviation ratio of periodic spectral indicators is not within the benchmark interval for monitoring the deviation of periodic spectral indicators, it is necessary to shade the sun rays from the earthworm-rice co-cultivation water area;

[0118] Obtain the benchmark interval for monitoring the deviation of periodic water area indicators. If the monitoring deviation ratio of periodic water area indicators is within the benchmark interval for monitoring the deviation of periodic water area indicators, there is no need to replace the water body in the earthworm-rice co-cultivation water area. If the monitoring deviation ratio of periodic water area indicators is not within the benchmark interval for monitoring the deviation of periodic water area indicators, it is necessary to replace the water body in the earthworm-rice co-cultivation water area.

[0119] In this application, if there are corresponding calculation formulas, the above calculation formulas are all dimensionless and take their numerical values for calculation. The coefficients such as weight coefficients and proportionality coefficients in the formulas are set to obtain a result value by quantifying each parameter. Regarding the magnitudes of the weight coefficients and proportionality coefficients, as long as the proportional relationship between the parameters and the result value is not affected.

[0120] Embodiment 2

[0121] Please refer to Figure 2 , based on another concept of the same invention, a system for optimizing the ecological cycle of earthworm-rice co-cultivation 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 water area, sets several different water quality monitoring indicators, obtains the monitoring deviation ratio corresponding to each water quality monitoring indicator according to the monitoring results, and comprehensively analyzes the obtained multiple water quality indicator monitoring deviations to obtain the monitoring deviation ratio of periodic water area indicators;

[0123] Specifically as follows:

[0124] Obtain the earthworm-rice co-cultivation water area. During the process of monitoring the water quality of the earthworm-rice co-cultivation water area, mark a symbiotic water area water quality monitoring cycle;

[0125] During the process of monitoring the water quality of the earthworm-rice co-cultivation water area, set several different types of water quality monitoring indicators, and mark the set several water quality monitoring indicators as Z1 water quality monitoring indicator to Za water quality monitoring indicator respectively;

[0126] It should be noted here that:

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

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

[0129] Analyze the Z1 water quality monitoring index of the earthworm-rice co-cultivation water area during the water quality monitoring week of the symbiotic water area, and obtain the monitoring deviation ratio of the Z1 water quality index according to the analysis results;

[0130] Specifically as follows:

[0131] Divide the earthworm-rice co-cultivation water area into several water quality monitoring sub-areas, and select a sample water quality monitoring sub-area from the divided multiple water quality monitoring sub-areas;

[0132] Select several water quality monitoring time points during the water quality monitoring cycle of the symbiotic water area, respectively obtain the Z1 water quality monitoring index values corresponding to each water quality monitoring time point in the sample water quality monitoring sub-area, obtain multiple Z1 water quality index monitoring values, and calculate the average of the obtained multiple Z1 water quality index monitoring values to obtain the Z1 water quality index monitoring median value corresponding to the sample water quality monitoring sub-area;

[0133] Repeat the process of obtaining the Z1 water quality index monitoring median value corresponding to the sample water quality monitoring sub-area, respectively obtain the Z1 water quality index monitoring median values corresponding to each water quality monitoring sub-area, obtain multiple Z1 water quality index monitoring median values, and compare the numerical sizes of the obtained multiple Z1 water quality index monitoring median values. Mark the Z1 water quality index monitoring median value with the largest numerical value as the periodic water quality index monitoring peak value, mark the Z1 water quality index monitoring median value with the smallest numerical value as the periodic water quality index monitoring trough value, and mark the numerical range between the periodic water quality index monitoring peak value and the periodic water quality index monitoring trough value as the periodic Z1 water quality index range;

[0134] Divide the periodic Z1 water quality index range into several water quality index change ranges, and mark the divided multiple water quality index change ranges as the M1 water quality index change range to the Mb water quality index change range respectively;

[0135] It should be noted here that:

[0136] In this application, the interval ranges corresponding to the change ranges of each water quality index involved here are equal.

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

[0138] Accumulate the areas of the water quality monitoring sub-regions in the M1 water quality index change range to obtain the area value of the M1 water quality index region. Accumulate the areas of the water quality monitoring sub-regions in the M2 water quality index change range to obtain the area value of the M2 water quality index region, and so on. Accumulate the areas of the water quality monitoring sub-regions in the Mb water quality index change range to obtain the area value of the Mb water quality index region;

[0139] Obtain the intermediate values of the ranges corresponding to the M1 water quality index change range to the Mb water quality index change range respectively to obtain the intermediate values of the M1 water quality index range to the Mb water quality index range;

[0140] Obtain the water area of the earthworm-rice co-cultivation water area to obtain the water area value of the earthworm-rice co-cultivation water area;

[0141] Calculate the periodic water area index monitoring value corresponding to the Z1 water quality monitoring index from the intermediate values of the M1 water quality index range to 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 water area value of the earthworm-rice co-cultivation water area;

[0142] Calculate the periodic water area index monitoring value corresponding to the Z1 water quality monitoring index. The specific formula is as follows:

[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 intermediate value of the Mi water quality index range, and Sym is the water 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 intermediate value of the Mi water quality index range involved here can be any one of the intermediate values of the M1 water quality index range to the Mb water quality index range.

[0147] In specific implementation, there are the following test data:

[0148] The measured water area value of the earthworm - rice co - cultivation is 100 m 2 , the median value of the water quality index range of M1 is 4.1, the median value of the water quality index range of M2 is 4.4, the median value of the water quality index range of M3 is 4.7, the area value of the water quality index region of M1 is 40 m 2 , the area value of the water quality index region of M2 is 20 m 2 , the area value of the water quality index region of M3 is 40 m 2 , then the monitored value of the periodic water area index can be calculated as 4.4.

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

[0150] It should be noted here that:

[0151] The reference interval of the Z1 water quality monitoring index involved here is the most suitable Z1 water quality monitoring index interval for growing rice. The specific parameter values are set as [4.5, 5.5], and the specific values are provided by Baidu Library.

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

[0153] And compare the monitoring deviation ratios of the Z1 water quality index to the Za water quality index numerically, and mark the water quality index monitoring deviation ratio with the largest value as the monitoring deviation ratio of the periodic water area index;

[0154] The light monitoring module monitors the light of the earthworm - rice co - cultivation water area, sets several different sunlight spectra, respectively obtains the spectral intensity monitoring deviation ratio corresponding to each sunlight spectrum according to the monitoring results, and comprehensively analyzes the obtained multiple spectral intensity monitoring deviations to obtain the monitoring deviation ratio of the periodic spectral index;

[0155] Specifically as follows:

[0156] Obtain the earthworm - rice co - cultivation water area. During the process of monitoring the light of the earthworm - rice co - cultivation water area, mark a symbiotic water area light monitoring cycle;

[0157] In the process of monitoring the light in the rice-earthworm co-cultivation water area, sunlight is analyzed into various types of spectra, and the set spectra are respectively labeled as G1 sunlight spectrum to Gc sunlight spectrum;

[0158] It should be noted here that:

[0159] In this application, G involved here is the symbol corresponding to the sunlight spectrum, and c involved here is the numerical value corresponding to the sunlight spectrum, and c is an integer greater than 0.

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

[0161] Perform G1 sunlight spectrum analysis on the rice-earthworm co-cultivation water area during the light monitoring week of the symbiotic water area, and obtain the G1 spectral intensity monitoring deviation ratio according to the analysis results;

[0162] Specifically as follows:

[0163] Divide the rice-earthworm co-cultivation water area into several light monitoring sub-areas, and select a sample light monitoring sub-area from the divided multiple light monitoring sub-areas;

[0164] Select several light monitoring time points during the light monitoring period of the symbiotic water area, respectively obtain the sunlight spectrum intensity values corresponding to each light monitoring time point in the sample light monitoring sub-area, obtain a plurality of sunlight spectrum intensity values, and calculate the average of the obtained plurality of sunlight spectrum intensity values to obtain the G1 spectral intensity monitoring median value corresponding to the sample light monitoring sub-area;

[0165] Repeat the process of obtaining the G1 spectral intensity monitoring median value corresponding to the sample light monitoring sub-area, respectively obtain the G1 spectral intensity monitoring median value corresponding to each light monitoring sub-area, obtain a plurality of G1 spectral intensity monitoring median values, compare the numerical sizes of the obtained plurality of G1 spectral intensity monitoring median values, mark the G1 spectral intensity monitoring median value with the largest numerical value as the periodic spectral intensity monitoring peak value, mark the G1 spectral intensity monitoring median value with the smallest numerical value as the periodic spectral intensity monitoring valley value, and mark the numerical range between the periodic spectral intensity monitoring peak value and the periodic spectral intensity monitoring valley value as the G1 periodic spectral intensity interval;

[0166] Divide the G1 periodic spectral intensity interval into several spectral intensity change ranges, and respectively label the divided multiple spectral intensity change ranges as N1 spectral intensity change range to Nd spectral intensity change range;

[0167] It should be noted here that:

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

[0169] In this application, N involved herein is a symbol corresponding to the spectral intensity change range, and d involved herein is a numerical value corresponding to the spectral intensity change range, and d is an integer greater than 0.

[0170] Accumulate the areas of the light monitoring sub-regions in the N1 spectral intensity change range to obtain the N1 spectral intensity region area value, accumulate the areas of the light monitoring sub-regions in the N2 spectral intensity change range to obtain the N2 spectral intensity region area value, and so on, accumulate the areas of the light monitoring sub-regions in the Nd spectral intensity change range to obtain the Nd spectral intensity region area value;

[0171] Obtain the intermediate values of the ranges corresponding to the N1 spectral intensity change range to the Nd spectral intensity change range respectively, to obtain the intermediate value of the N1 spectral intensity range to the intermediate value of the Nd spectral intensity range;

[0172] Obtain the water area of the earthworm and rice co-cultivation water area to obtain the earthworm and rice co-cultivation water area value;

[0173] Calculate the monitoring value of the periodic spectral index corresponding to the G1 sunlight spectrum from the intermediate value of the N1 spectral intensity range to the intermediate value of the Nd spectral intensity range, the N1 spectral intensity region area value to the Nd spectral intensity region area value, and the earthworm and rice co-cultivation water area value;

[0174] Calculate the monitoring value of the periodic spectral index corresponding to the G1 sunlight spectrum, and the specific formula is as follows:

[0175]

[0176] Among them, Gyz is the monitoring value of the periodic spectral index, Gmi is the Ni spectral intensity region area value, Gjzi is the intermediate value of the Ni spectral intensity range, and Sym is the earthworm and rice co-cultivation water area value;

[0177] It should be noted here that:

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

[0179] In specific implementation, there are the following test data:

[0180] The measured value of the area of the water area for earthworm - rice co - cultivation is 100 m 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 numerical value of the area of the N1 spectral intensity region is 40 m 2 , the numerical value of the area of the N2 spectral intensity region is 20 m 2 , the numerical value of the area of the N3 spectral intensity region is 40 m 2 , then the monitored value of the periodic spectral index can be calculated as 150 μW / cm 2 .

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

[0182] It should be noted here that:

[0183] The G1 solar - light spectrum reference interval involved here is the G1 solar - light spectrum interval most suitable for growing rice. The specific parameter values are set as [4.5, 5.5], and the specific values are provided by Baidu Wenku.

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

[0185] And compare the numerical 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 numerical value as the periodic spectral index monitoring deviation ratio;

[0186] The cyclic optimization module cyclically optimizes the earthworm - rice co - cultivation water area according to the periodic spectral index monitoring deviation ratio and the periodic water area monitoring deviation ratio;

[0187] Specifically as follows:

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

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

[0190] Obtain the monitoring deviation reference interval of the periodic water area index. If the monitoring deviation ratio of the periodic water area index is within the monitoring deviation reference interval of the periodic water area index, there is no need to replace the water body in the earthworm-rice co-cultivation water area. If the monitoring deviation ratio of the periodic water area index is not within the monitoring deviation reference interval of the periodic water area index, it is necessary to replace the water body in the earthworm-rice co-cultivation water area.

[0191] It should be noted here that:

[0192] In this application, the sunlight blocking involved here specifically refers to opening the sunshade curtain.

[0193] Obtain the monitoring deviation reference interval of the periodic spectral index as follows:

[0194] The lower limit of the monitoring deviation reference interval of the periodic spectral index is 0, that is, there is no spectral index monitoring deviation;

[0195] Obtain the historical periods when the circulating working system does not block the sunlight and replace the water body in the earthworm-rice co-cultivation water area. Respectively obtain the monitoring deviation ratios of the periodic spectral index corresponding to each historical period, and mark the smallest monitoring deviation ratio of the periodic spectral index as the upper limit of the monitoring deviation reference interval of the periodic spectral index;

[0196] Obtain the monitoring deviation reference interval of the periodic water area index as follows:

[0197] The lower limit of the monitoring deviation reference interval of the periodic water area index is 0, that is, there is no water area index monitoring deviation;

[0198] Obtain the historical periods when the circulating working system does not block the sunlight and replace the water body in the earthworm-rice co-cultivation water area. Respectively obtain the monitoring deviation ratios of the periodic water area index corresponding to each historical period, and mark the smallest monitoring deviation ratio of the periodic water area index as the upper limit of the monitoring deviation reference interval of the periodic water area index.

[0199] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific embodiments. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An optimized method for the ecological cycle of earthworm and rice co-cultivation, characterized in that, Including: Step S1: Conduct water quality monitoring on the co-cultivation water area of earthworms and rice. Set several different types of water quality monitoring indicators. According to the monitoring results, obtain the water quality index monitoring deviation ratios corresponding to each water quality monitoring indicator respectively, and comprehensively analyze the obtained multiple water quality index monitoring deviations to obtain the periodic water area index monitoring deviation ratio. Step S2: Conduct light monitoring on the co-cultivation water area of earthworms and rice. Set several different types of sunlight spectra. According to the monitoring results, obtain the spectral intensity monitoring deviation ratios corresponding to each sunlight spectrum respectively, and comprehensively analyze the obtained multiple spectral intensity monitoring deviations to obtain the periodic spectral index monitoring deviation ratio. Step S3: Optimize the cycle of the co-cultivation water area of earthworms and rice according to the periodic spectral index monitoring deviation ratio and the periodic water area index monitoring deviation ratio.

2. The ecological cycle optimization method for co-culturing earthworms and rice according to claim 1, characterized in that, In the said Step S1, it further includes the following specific steps: Step S11: Obtain the co-cultivation water area of earthworms and rice. During the process of conducting water quality monitoring on the co-cultivation water area of earthworms and rice, mark a symbiotic water area water quality monitoring cycle. Step S12: During the process of conducting water quality monitoring on the co-cultivation water area of earthworms and rice, set water quality monitoring indicators from Z1 to Za. Step S13: Analyze the Z1 water quality monitoring indicator of the co-cultivation water area of earthworms and rice in the symbiotic water area water quality monitoring cycle. According to the analysis results, obtain the Z1 water quality index monitoring deviation ratio. Step S14: Respectively obtain the water quality index monitoring deviation ratios corresponding to water quality monitoring indicators from Z2 to Za, and obtain the Z2 water quality index monitoring deviation ratio to the Za water quality index monitoring deviation ratio. Step S15: Conduct a numerical comparison on the Z1 water quality index monitoring deviation ratio to the Za water quality index monitoring deviation ratio, and mark the water quality index monitoring deviation ratio with the largest value as the periodic water area index monitoring deviation ratio.

3. A method for optimizing the ecological cycle of earthworm and rice co-culture according to claim 2, characterized in that, In the said Step S13, it further includes the following specific steps: Step S131: Divide the co-cultivation water area of earthworms and rice into several water quality monitoring sub-areas, and select a sample water quality monitoring sub-area from the divided multiple water quality monitoring sub-areas. Step S132: Select several water quality monitoring time points in the symbiotic water area water quality monitoring cycle. Respectively obtain the Z1 water quality monitoring indicator values corresponding to each water quality monitoring time point of the sample water quality monitoring sub-area, obtain multiple Z1 water quality index monitoring values, and calculate the average of the obtained multiple Z1 water quality index monitoring values to obtain the Z1 water quality index monitoring median value corresponding to the sample water quality monitoring sub-area. Step S133: Respectively obtain the Z1 water quality index monitoring median values corresponding to each water quality monitoring sub-area, obtain multiple Z1 water quality index monitoring median values, mark the Z1 water quality index monitoring median value with the largest value as the periodic water quality index monitoring peak value, mark the Z1 water quality index monitoring median value with the smallest value as the periodic water quality index monitoring trough value, and mark the numerical range between the periodic water quality index monitoring peak value and the periodic water quality index monitoring trough value as the periodic Z1 water quality index range. Step S134: Divide the Z1 periodic water quality index range into M1 water quality index change ranges to Mb water quality index change ranges. Step S135: Analyze the water quality monitoring sub-regions within the water quality index change range from M1 to Mb to obtain the corresponding periodic water area index monitoring values for the Z1 water quality monitoring index; Step S136: Obtain the reference interval of the Z1 water quality monitoring index corresponding to the rice-earthworm co-culture water area. If the periodic water area index monitoring value is within the reference interval of the Z1 water quality monitoring index, assign the value 0 to the parameter of the Z1 water quality index monitoring deviation ratio. If the periodic water area index monitoring value is not within the reference interval of the Z1 water quality monitoring index, calculate the numerical deviation between the periodic water area index monitoring value and the reference interval of the Z1 water quality monitoring index, and calculate the ratio of the obtained numerical deviation to the range value of the reference interval of the Z1 water quality monitoring index to obtain the Z1 water quality index monitoring deviation ratio.

4. A method for optimizing the ecological cycle of earthworm and rice co-cropping according to claim 3, characterized in that, In the said step S135, it further includes the following specific steps: Accumulate the areas of the water quality monitoring sub-regions within the water quality index change range of M1 to obtain the area value of the M1 water quality index region. By analogy, accumulate the areas of the water quality monitoring sub-regions within the water quality index change range of Mb to obtain the area value of the Mb water quality index region; Obtain the range intermediate values corresponding to the water quality index change range from M1 to Mb respectively to obtain the intermediate value of the M1 water quality index range to the intermediate value of the Mb water quality index range; Obtain the water area of the rice-earthworm co-culture water area to obtain the water area value of the rice-earthworm co-culture water area; Calculate the corresponding periodic water area index monitoring values for the Z1 water quality monitoring index through calculations using the intermediate value of the M1 water quality index range to the intermediate value of the Mb water quality index range, the area value of the M1 water quality index region to the area value of the Mb water quality index region, and the water area value of the rice-earthworm co-culture water area; Calculate the corresponding periodic water area index monitoring values for the Z1 water quality monitoring index.

5. A method for optimizing the ecological cycle of earthworm and rice co-cultivation according to claim 1, characterized in that, In the said step S2, it further includes the following specific steps: Step S21: Obtain the rice-earthworm co-culture water area. During the process of monitoring the light of the rice-earthworm co-culture water area, mark a symbiotic water area light monitoring period; Step S22: During the process of monitoring the light of the rice-earthworm co-culture water area, resolve sunlight into the G1 sunlight spectrum to the Gc sunlight spectrum; Step S23: Analyze the G1 sunlight spectrum of the rice-earthworm co-culture water area during the symbiotic water area light monitoring period, and obtain the G1 spectrum intensity monitoring deviation ratio according to the analysis results; Step S24: Obtain the spectral intensity monitoring deviation ratios corresponding to the G2 sunlight spectrum to the Gc sunlight spectrum respectively to obtain the G2 spectral intensity monitoring deviation ratio to the Gc spectral intensity monitoring deviation ratio; Step S25: Compare the numerical 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 numerical value as the periodic spectral index monitoring deviation ratio.

6. The optimized method for the ecological cycle of earthworm and rice co-cropping according to claim 5, characterized in that In the said step S23, it further includes the following specific steps: Step S231: Divide the intensity interval of the G1 sunlight spectrum to obtain the N1 spectral intensity change range to the Nd spectral intensity change range; Step S232: Accumulate the areas of the light monitoring sub-regions within the N1 spectral intensity change range to obtain the N1 spectral intensity region area value, and accumulate the areas of the light monitoring sub-regions within the Nd spectral intensity change range to obtain the Nd spectral intensity region area value; Step S233: Obtain the range intermediate values corresponding to the N1 spectral intensity change range to the Nd spectral intensity change range respectively, to obtain the N1 spectral intensity range intermediate value to the Nd spectral intensity range intermediate value; Step S234: Obtain the water area of the earthworm-rice co-cultivation water area to obtain the earthworm-rice co-cultivation water area value; Step S235: Obtain the periodic spectral index monitoring value according to the N1 spectral intensity range intermediate value to the Nd spectral intensity range intermediate value, the N1 spectral intensity region area value to the Nd spectral intensity region area value, and the earthworm-rice co-cultivation water area value; Step S236: Obtain the G1 sunlight spectrum reference interval corresponding to the earthworm-rice co-cultivation water area. If the periodic spectral index monitoring value is within the G1 sunlight spectrum reference interval, assign the value 0 to the G1 spectral intensity monitoring deviation ratio parameter. If the periodic spectral index monitoring value is not within the G1 sunlight spectrum reference interval, calculate the numerical deviation between the periodic spectral index monitoring value and the G1 sunlight spectrum reference interval, and calculate the ratio of the obtained numerical deviation to the G1 sunlight spectrum reference interval range value to obtain the G1 spectral intensity monitoring deviation ratio.

7. A method for optimizing the ecological cycle of earthworm and rice co-culture according to claim 6, characterized in that, In the step S231, the following specific steps are further included: Divide the earthworm-rice co-cultivation water area into several light monitoring sub-regions, and select a sample light monitoring sub-region from the divided multiple light monitoring sub-regions; Select several light monitoring time points during the symbiotic water area light monitoring cycle, respectively obtain the sunlight spectral intensity values corresponding to the sample light monitoring sub-region at each light monitoring time point, obtain a plurality of sunlight spectral intensity values, and calculate the average of the obtained plurality of sunlight spectral intensity values to obtain the G1 spectral intensity monitoring median value corresponding to the sample light monitoring sub-region; Obtain the G1 spectral intensity monitoring median value corresponding to each light monitoring sub-region respectively, mark the G1 spectral intensity monitoring median value with the largest value as the periodic spectral intensity monitoring peak value, mark the G1 spectral intensity monitoring median value with the smallest value as the periodic spectral intensity monitoring valley value, and mark the numerical range between the periodic spectral intensity monitoring peak value and the periodic spectral intensity monitoring valley value as the G1 periodic spectral intensity interval; Divide the G1 periodic spectral intensity interval into several spectral intensity change ranges, and mark the divided multiple spectral intensity change ranges as the N1 spectral intensity change range to the Nd spectral intensity change range respectively.

8. A method for optimizing the ecological cycle of earthworm and rice co-culture according to claim 7, characterized in that, In the step S235, the following specific steps are further included: Calculate the N1 spectral intensity range intermediate value to the Nd spectral intensity range intermediate value, the N1 spectral intensity region area value to the Nd spectral intensity region area value, and the earthworm-rice co-cultivation water area value to obtain the periodic spectral index monitoring value corresponding to the G1 sunlight spectrum; Calculate the monitoring values of the periodic spectral indexes corresponding to the G1 sunlight spectrum.

9. A method for optimizing the ecological cycle of earthworm and rice co-cultivation according to claim 1, characterized in that, In the step S3, the following specific steps are further included: Obtain the monitoring deviation ratio of the periodic spectral index and the monitoring deviation ratio of the periodic water area index; Obtain the monitoring deviation reference interval of the periodic spectral index. If the monitoring deviation ratio of the periodic spectral index is within the monitoring deviation reference interval of the periodic spectral index, there is no need to block the sunlight in the earthworm-rice co-cultivation water area. If the monitoring deviation ratio of the periodic spectral index is not within the monitoring deviation reference interval of the periodic spectral index, it is necessary to block the sunlight in the earthworm-rice co-cultivation water area; Obtain the monitoring deviation reference interval of the periodic water area index. If the monitoring deviation ratio of the periodic water area index is within the monitoring deviation reference interval of the periodic water area index, there is no need to replace the water in the earthworm-rice co-cultivation water area. If the monitoring deviation ratio of the periodic water area index is not within the monitoring deviation reference interval of the periodic water area index, it is necessary to replace the water in the earthworm-rice co-cultivation water area.

10. An optimized ecological cycle system for co-cultivating earthworms and rice, applicable to an optimized ecological cycle method for co-cultivating earthworms and rice described in any one of claims 1-9, characterized in that, The optimization system includes: Water quality monitoring module: Monitor the water quality of the earthworm-rice co-cultivation water area, set several different types of water quality monitoring indexes, obtain the monitoring deviation ratio of each water quality monitoring index corresponding to the monitoring result respectively, and comprehensively analyze the obtained multiple water quality index monitoring deviations to obtain the monitoring deviation ratio of the periodic water area index; Light intensity monitoring module: Monitor the light intensity of the earthworm-rice co-cultivation water area, set several different types of sunlight spectra, obtain the monitoring deviation ratio of the spectral intensity corresponding to each sunlight spectrum according to the monitoring result respectively, and comprehensively analyze the obtained multiple spectral intensity monitoring deviations to obtain the monitoring deviation ratio of the periodic spectral index; Circular optimization module: Circularly optimize the earthworm-rice co-cultivation water area according to the monitoring deviation ratio of the periodic spectral index and the monitoring deviation ratio of the periodic water area index.

Images