CN115953064B - Comprehensive management and optimal regulation method for cultivated quality - Google Patents
Comprehensive management and optimal regulation method for cultivated quality Download PDFInfo
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- CN115953064B CN115953064B CN202211709784.6A CN202211709784A CN115953064B CN 115953064 B CN115953064 B CN 115953064B CN 202211709784 A CN202211709784 A CN 202211709784A CN 115953064 B CN115953064 B CN 115953064B
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Abstract
The invention relates to the technical field of comprehensive treatment of cultivated land, in particular to a comprehensive treatment and optimal regulation method of cultivated land quality, which comprises the following steps: comprehensively evaluating the cultivated land by a plurality of dimensions of the cultivated land, and summarizing and weighting to form the treatment capacity of the cultivated land; performing quantitative measurement and calculation on the treatment capacity of the cultivated land, obtaining the blocking level of the cultivated land, and performing regional difference on the cultivated land according to the subordinate relation of the blocking level to define a plurality of blocking regions; the method comprises the steps of respectively carrying out simulation treatment on the blocking areas through a plurality of planned optimization elements, obtaining optimization coefficients of the blocking areas, arranging according to a set sequence by combining the blocking level of the cultivated land and the optimization coefficients of the blocking areas, selecting the maximum value of a comprehensive sequence as an optimal optimization strategy of each blocking area, carrying out distribution regulation and control on each blocking area, judging the reference deviation degree of each blocking area, and carrying out reference maintenance on each blocking area based on a judgment result until the optimal treatment of each blocking area is completed.
Description
Technical Field
The invention relates to the technical field of comprehensive treatment of cultivated lands, in particular to a comprehensive treatment and optimized regulation method of cultivated land quality.
Background
The quality of cultivated land is composed of the natural and environmental conditions of the cultivated land, and the cultivated land quality directly influences the crop yield and the agricultural product quality, so that the cultivated land has important significance for guaranteeing the grain safety, the ecological safety and the human survival safety. At present, comprehensive management of cultivated land quality is generally carried out through comprehensive regulation and control of the universality of the environment where cultivated lands are located, on one hand, one cultivated floor block is usually divided into planting of various crops, and the universal regulation and control cultivated land quality can play a role in managing the cultivated lands to a certain extent, but the cultivated land attributes corresponding to different crops are different, and the cultivated lands after universal management can have a certain influence on the growth of the crops with the differences; on the other hand, if a large number of crops are planted on suitable cultivated lands according to the conditions of seasons and the like, and the elements required for the growth of the large number of crops come from the soil on the cultivated lands, the current research lacks the corresponding treatment conditions of the conditions, so that unbalance of the environmental elements of the cultivated lands is easy to occur, and the growth of the crops in the season is influenced. Based on the above technical problems, we design a comprehensive management and optimized regulation method for the cultivated quality.
Disclosure of Invention
The invention aims to provide a comprehensive management and optimization regulation method for cultivated land quality, which divides cultivated land into a plurality of grid data according to the demands of cultivated crops, constructs the management capability of the cultivated land according to the evaluation result of the grid data, and can be suitable for the problem that the cultivated land attributes corresponding to different crops are different; in addition, each blocking area is divided aiming at the treatment capacity of the cultivated land, and then each blocking area is treated respectively by taking the comprehensively evaluated optimal value as a reference result, and in the treatment process, the environmental element balance of the cultivated land can be adjusted by adopting an adaptive scheme according to the real-time variation of the environmental element of the cultivated land, so that the influence on the growth of crops in the corresponding season is avoided.
The embodiment of the invention is realized by the following technical scheme:
a comprehensive management and optimization control method for cultivated quality comprises the following steps:
comprehensively evaluating the cultivated land by taking a plurality of dimensions of the cultivated land as references, and summarizing and weighting to form the treatment capacity of the cultivated land;
based on quantitative targets of cultivated lands, performing quantitative measurement and calculation on the treatment capacity of the cultivated lands, obtaining the blocking level of the cultivated lands, and performing regional difference on the cultivated lands according to the subordinate relation of the blocking level to define a plurality of blocking regions;
a plurality of optimization elements are drawn, simulation treatment is carried out on the blocking areas through the plurality of optimization elements, optimization coefficients of the blocking areas are obtained, the blocking levels of the cultivated land and the optimization coefficients of the blocking areas are combined to be arranged in sequence from large to small, and the maximum value of the generated comprehensive sequence is selected to be used as an optimal optimization strategy of each blocking area;
and carrying out distribution regulation and control on each blocking area according to an optimal optimization strategy, judging whether the reference deviation degree of each blocking area reaches a preset maximum value, and carrying out reference maintenance on each blocking area by adopting a corresponding means based on a judging result until the optimal treatment of each blocking area is completed.
Optionally, the method for forming the capability of treating the cultivated land comprises the following specific steps:
determining the planting requirement of the cultivated land, and acquiring the land elements and the environment elements of the required cultivated land according to the planting requirement of the cultivated land;
building multiple dimensions of the cultivated land based on the relief elements and the environmental elements of the required cultivated land and in combination with preset cultivated land quarters;
constructing a cultivated land three-dimensional grid model by adopting the combination of the point cloud data and the GIS, and dividing the cultivated land three-dimensional grid model into a plurality of grid data according to a set proportion;
and evaluating a plurality of grid data divided by the three-dimensional grid model of the cultivated land according to a plurality of dimensions of the cultivated land, and summarizing and weighting the evaluation results of each grid data to form the treatment capability of the cultivated land.
Optionally, the construction of the three-dimensional grid model of the cultivated land comprises the following specific steps:
adopting an unmanned aerial vehicle aerial photographing system to perform nodding back and forth along a set azimuth based on a preset overlapping degree until the integral image and the relative position information of the cultivated land are obtained;
extracting features of the whole image and the relative position information of the cultivated land, characterizing the extracted feature data as a plurality of point data of the cultivated land, and collecting the plurality of point data of the cultivated land to form initial point cloud data of the cultivated land;
optimizing the initial point cloud data of the cultivated land to generate point cloud data of the cultivated land, importing the point cloud data of the cultivated land into a GIS, and dividing the point cloud data of the cultivated land into a plurality of grid data according to a set proportion;
and carrying out three-dimensional construction on the plurality of grid data by using a set algorithm, judging whether the difference value of the relative distance relation between the grid data and the constructed three-dimensional surface meets a preset interval, and if so, merging the plurality of grid data to finish construction of the three-dimensional grid model of the cultivated land.
Optionally, the step of determining whether the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets a preset interval comprises the following specific steps:
three-dimensionally building a plurality of grid data by a set algorithm, and judging whether a difference value of relative distance relations between the grid data and the built three-dimensional surface meets a preset interval or not;
if the relative distance relation difference value between the grid data and the built three-dimensional surface is lower than a preset interval, judging that the three-dimensional building of the grid data fails, and building the grid data by a set algorithm again until the relative distance relation difference value between the grid data and the built three-dimensional surface meets the preset interval;
if the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets a preset interval, judging that the three-dimensional building of the grid data is successful, and continuously judging the next grid data;
if the difference value of the relative distance relation between the grid data and the built three-dimensional surface is larger than the preset interval, judging that the three-dimensional building of the grid data fails, and building the grid data by a set algorithm again until the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets the preset interval.
Optionally, the step of obtaining the blocking level of the cultivated land comprises the following specific steps:
evaluating the relief elements and the environmental elements of the cultivated land, and obtaining the untwistable quantity of the cultivated land and the torsion effect quantity of the cultivated land;
carrying out fusion calculation on the non-torsion quantity of the cultivated land and the torsion effect quantity of the cultivated land to obtain the optimized unbalance degree of the cultivated land so as to be characterized as a quantitative target of the cultivated land;
according to the quantitative standard of the cultivated land, performing quantitative measurement on the treatment capability of the cultivated land, obtaining a plurality of blocking components of the cultivated land, summarizing to form a blocking level of the cultivated land, and then differentiating the cultivated land according to the subordination relation of the plurality of blocking components of the cultivated land to define a plurality of blocking areas.
Optionally, the step of determining whether the reference deviation of each blocking area reaches a preset maximum value includes the following specific steps:
performing distribution regulation and control on each blocking area according to an optimal optimization strategy, setting an environmental element reference value of each blocking area in the distribution regulation and control, and acquiring environmental elements of each blocking area in real time;
calculating and acquiring the reference offset of each blocking area according to the real-time variable quantity of the environmental element of each blocking area;
judging whether the reference offset of each blocking area reaches a preset maximum value, if not, continuously acquiring the environment elements of each blocking area, and repeating the steps; if yes, performing reference maintenance on each blocking area by adopting a corresponding means until the optimal treatment of each blocking area is completed.
Optionally, the reference offset of each blocking area is specifically an environmental element reference offset of each blocking area, and the corresponding means specifically selects according to the set environmental element reference offset of each blocking area.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
according to the method, the cultivated land is divided into a plurality of grid data according to the demands of the cultivated plants, and the management capability of the cultivated land is built according to the evaluation result of the grid data, so that the method can be suitable for the problem that the cultivated land attributes corresponding to different crops are different; in addition, each blocking area is divided aiming at the treatment capacity of the cultivated land, and then each blocking area is treated respectively by taking the comprehensively evaluated optimal value as a reference result, and in the treatment process, the environmental element balance of the cultivated land can be adjusted by adopting an adaptive scheme according to the real-time variation of the environmental element of the cultivated land, so that the influence on the growth of crops in the corresponding season is avoided.
Drawings
FIG. 1 is a schematic overall flow chart of a comprehensive management and optimization control method for cultivated quality, which is provided by the embodiment of the invention;
FIG. 2 is a schematic diagram of a decision logic for determining whether a difference value of a relative distance relationship between grid data and a built three-dimensional surface provided by an embodiment of the present invention satisfies a preset interval;
fig. 3 is a schematic diagram of a decision logic for determining whether the reference deviation of each blocking area reaches a preset maximum value according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Referring to fig. 1, fig. 1 is a schematic overall flow chart of a comprehensive management and optimization control method for cultivated land quality according to an embodiment of the present invention.
In one embodiment, a method for comprehensive management and optimal regulation of cultivated land quality, the method comprising the steps of:
comprehensively evaluating the cultivated land by taking a plurality of dimensions of the cultivated land as references, and summarizing and weighting to form the treatment capacity of the cultivated land;
based on quantitative targets of cultivated lands, performing quantitative measurement and calculation on the treatment capacity of the cultivated lands, obtaining the blocking level of the cultivated lands, and performing regional difference on the cultivated lands according to the subordinate relation of the blocking level to define a plurality of blocking regions;
a plurality of optimization elements are drawn, simulation treatment is carried out on the blocking areas through the plurality of optimization elements, optimization coefficients of the blocking areas are obtained, the blocking levels of the cultivated land and the optimization coefficients of the blocking areas are combined to be arranged in sequence from large to small, and the maximum value of the generated comprehensive sequence is selected to be used as an optimal optimization strategy of each blocking area;
and carrying out distribution regulation and control on each blocking area according to an optimal optimization strategy, judging whether the reference deviation degree of each blocking area reaches a preset maximum value, and carrying out reference maintenance on each blocking area by adopting a corresponding means based on a judging result until the optimal treatment of each blocking area is completed.
In the implementation process, the embodiment first determines multiple dimensions of the cultivated land, where the multiple dimensions of the cultivated land are corresponding parameters required to be achieved by the cultivated land theory, and uses the corresponding parameters required to be achieved by the cultivated land theory as a reference, and performs comprehensive evaluation on the cultivated land by using a corresponding method, and after summarizing and weighting each evaluation result, the treatment capacity of the cultivated land is formed, where the treatment capacity of the cultivated land is substantially the treatment capacity of the cultivated land under the condition of not combining with the actual situation. Therefore, the present embodiment evaluates the actual environmental elements and the relief elements of the cultivated land, and determines the quantitative targets of the cultivated land again, where the quantitative targets of the cultivated land are the treatment capacities that can be achieved by the actual cultivated land, and performs a relative measurement on the treatment capacities of the cultivated land according to the treatment capacities of the actual cultivated land, where the relative measurement is specifically that the actual treatment capacities of the cultivated land and the treatment capacities of the cultivated land are subjected to a differential evaluation, and the technical means that can be applied to the treatment of the cultivated land are screened according to the differential value, and the finally obtained result is obtained, that is, the blocking level of the cultivated land can be obtained, where the blocking level of the cultivated land includes a plurality of factors, the present embodiment divides the plurality of factors into a plurality of blocking areas of the cultivated land according to a subordinate relationship, where the blocking areas are the cultivated land areas that need to be treated and maintained in the present embodiment, therefore, in the embodiment, according to quantitative standard of cultivated land, measure means capable of treating and maintaining optimized elements of a plurality of cultivated land areas, namely optimizing treatment are planned, the measure means for optimizing treatment are simulated and analyzed for treating a plurality of blocking areas through a corresponding simulation platform, according to treating conditions of each blocking area, optimizing coefficients of different measure means for optimizing treatment for treating the areas can be obtained, at the moment, the embodiment combines the blocking level of the cultivated land and the optimizing coefficient of the blocking area to be arranged and calculated according to the sequence from big to small, in addition, the embodiment firstly carries out first sorting based on the blocking level of the cultivated land, and simultaneously carries out second sorting based on the optimizing coefficient of the blocking area on the basis of the first sorting, namely arranging the blocking level of the combined cultivated land and the optimizing coefficient of the blocking area according to the sequence from big to small, generating a comprehensive sequence, combining the blocking level of the first sequencing cultivated land for the second sequencing, and under the condition of higher blocking level, obtaining a result formed by sequencing the first sequencing cultivated land with higher optimizing coefficient, wherein the maximum value of each blocking area reflects the effect of higher optimizing coefficient on the area with higher blocking level, and then taking the maximum value as the optimal optimizing strategy to perform treatment on the blocking areas of the cultivated land according to the selected optimal optimizing strategy, and simultaneously obtaining the real-time variation of environmental elements of the cultivated land until the optimal treatment of each blocking area is completed.
In one embodiment, the method for constructing the management capability of the cultivated land comprises the following specific steps:
determining the planting requirement of the cultivated land, and acquiring the land elements and the environment elements of the required cultivated land according to the planting requirement of the cultivated land;
building multiple dimensions of the cultivated land based on the relief elements and the environmental elements of the required cultivated land and in combination with preset cultivated land quarters;
constructing a cultivated land three-dimensional grid model by adopting the combination of the point cloud data and the GIS, and dividing the cultivated land three-dimensional grid model into a plurality of grid data according to a set proportion;
and evaluating a plurality of grid data divided by the three-dimensional grid model of the cultivated land according to a plurality of dimensions of the cultivated land, and summarizing and weighting the evaluation results of each grid data to form the treatment capability of the cultivated land.
In the implementation process, the planting requirements of the plate cultivated land are determined, the theoretical cultivated land elements and the theoretical cultivated land environment elements which are suitable for the growth of the required crops can be obtained through analysis according to the requirements of the required cultivated crops, and the dimensions of the determined cultivated land in the embodiment are formed according to the theoretical cultivated land elements and the theoretical cultivated land environment elements which are suitable for the growth of the required crops and the season of the required cultivated crops, wherein the season is specifically the date and month of the actual suitable planting of the required cultivated crops and the air temperature date which can meet the suitable growth of the actual suitable cultivated crops. In addition, the embodiment adopts the combination of the point cloud data and the GIS, and is divided into a three-dimensional grid model of the cultivated land composed of a plurality of grids, at this time, the three-dimensional grid model of the cultivated land is essentially a theoretical model composed of a land image based on the cultivated land, the plurality of grid data are evaluated through a plurality of dimensions of the cultivated land only by the acquired image and the point cloud data, and the management capability of the cultivated land based on the theoretical data is initially composed in practice based on the evaluation of the theoretical model by the theoretical data.
More specifically, the required land profile elements comprise the longitude and latitude of the cultivated land, the altitude of the cultivated land, the collected attitude of the cultivated land and other information, and the environment elements comprise the thickness of the cultivated land, the volume weight of the cultivated land, the texture of the cultivated land, the PH value of the cultivated land, the organic matters of the cultivated land, the trace element content of the cultivated land, the air temperature of the cultivated land, the rainfall of the environment where the cultivated land is located and the gradient of the cultivated land.
In one embodiment, the construction of the three-dimensional grid model of the cultivated land comprises the following specific steps:
adopting an unmanned aerial vehicle aerial photographing system to perform nodding back and forth along a set azimuth based on a preset overlapping degree until the integral image and the relative position information of the cultivated land are obtained;
extracting features of the whole image and the relative position information of the cultivated land, characterizing the extracted feature data as a plurality of point data of the cultivated land, and collecting the plurality of point data of the cultivated land to form initial point cloud data of the cultivated land;
optimizing the initial point cloud data of the cultivated land to generate point cloud data of the cultivated land, importing the point cloud data of the cultivated land into a GIS, and dividing the point cloud data of the cultivated land into a plurality of grid data according to a set proportion;
and carrying out three-dimensional construction on the plurality of grid data by using a set algorithm, judging whether the difference value of the relative distance relation between the grid data and the constructed three-dimensional surface meets a preset interval, and if so, merging the plurality of grid data to finish construction of the three-dimensional grid model of the cultivated land.
In the implementation process, in order to fully cover and shoot the topography image of the cultivated land, the unmanned aerial vehicle aerial photographing system is adopted, the unmanned aerial vehicle aerial photographing system is preset, the shooting area of the unmanned aerial vehicle aerial photographing system is limited, the shooting angle of a camera is limited, the unmanned aerial vehicle flight direction and the shooting overlapping degree of the unmanned aerial vehicle are the same, wherein the unmanned aerial vehicle flight direction can be set to be shot back and forth along one direction in the embodiment, the shooting overlapping degree can be set to be selected between 65% and 75%, the unmanned aerial vehicle aerial photographing system is used for collecting the topography image of the cultivated land, the scenery image and the relative position information, the integral image of the cultivated land and the relative position information are acquired through the vision module, the integral image of the cultivated land and the relative position information are extracted through the vision module, the plurality of point data of the cultivated land are obtained, the relation among the plurality of point data of the cultivated land is combined, initial point cloud data is formed, at the moment, the initial point cloud data are actually low in accuracy, the optimal processing of the initial point cloud data, namely the fine processing can be performed in a mode of matching point cloud and the like, the three-dimensional grid cloud data are formed, the three-dimensional grid moving algorithm is formed by combining the three-dimensional grid data of the three-dimensional grid data, and three-dimensional grid moving method is formed.
Referring to fig. 2, fig. 2 is a schematic diagram of a decision logic for determining whether a difference value of a relative distance relationship between grid data and a built three-dimensional surface provided by an embodiment of the present invention satisfies a preset interval.
In the implementation process, the specific steps of determining whether the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets a preset interval are as follows:
three-dimensionally building a plurality of grid data by a set algorithm, and judging whether a difference value of relative distance relations between the grid data and the built three-dimensional surface meets a preset interval or not;
if the relative distance relation difference value between the grid data and the built three-dimensional surface is lower than a preset interval, judging that the three-dimensional building of the grid data fails, and building the grid data by a set algorithm again until the relative distance relation difference value between the grid data and the built three-dimensional surface meets the preset interval;
if the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets a preset interval, judging that the three-dimensional building of the grid data is successful, and continuously judging the next grid data;
if the difference value of the relative distance relation between the grid data and the built three-dimensional surface is larger than the preset interval, judging that the three-dimensional building of the grid data fails, and building the grid data by a set algorithm again until the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets the preset interval.
In one embodiment, the obtaining the blocking level of the cultivated land comprises the following specific steps:
evaluating the relief elements and the environmental elements of the cultivated land, and obtaining the untwistable quantity of the cultivated land and the torsion effect quantity of the cultivated land;
carrying out fusion calculation on the non-torsion quantity of the cultivated land and the torsion effect quantity of the cultivated land to obtain the optimized unbalance degree of the cultivated land so as to be characterized as a quantitative target of the cultivated land;
according to the quantitative standard of the cultivated land, performing quantitative measurement on the treatment capability of the cultivated land, obtaining a plurality of blocking components of the cultivated land, summarizing to form a blocking level of the cultivated land, and then differentiating the cultivated land according to the subordination relation of the plurality of blocking components of the cultivated land to define a plurality of blocking areas.
In the implementation process, the dimensions of the cultivated land actually refer to corresponding data of the proxy theory cultivated land, and the actual situation of the current cultivated land is deficient, so that the embodiment evaluates the actual data of the current cultivated land and the environmental elements, namely the actual data of the cultivated land, comprehensively judges according to the actual data of the cultivated land and the relief factors, obtains the untwistable quantity of the cultivated land and the torsion effect quantity of the cultivated land, wherein the untwistable quantity of the cultivated land is characterized by the effect quantity which can be achieved by the adjusting means of the unselected cultivated land, the torsion effect quantity of the cultivated land is characterized by the effect quantity which can be achieved by the adjusting means of the selectable cultivated land, and can obtain the optimized unbalance degree of the cultivated land, namely the quantification of the problem existing in the optimization of the actual cultivated land by combining the two effect quantities.
Referring to fig. 3, fig. 3 is a schematic diagram of a decision logic for determining whether the reference deviation of each blocking area reaches a preset maximum value according to an embodiment of the present invention.
In one embodiment, the determining whether the reference deviation of each blocking area reaches the preset maximum value includes the following specific steps:
performing distribution regulation and control on each blocking area according to an optimal optimization strategy, setting an environmental element reference value of each blocking area in the distribution regulation and control, and acquiring environmental elements of each blocking area in real time;
calculating and acquiring the reference offset of each blocking area according to the real-time variable quantity of the environmental element of each blocking area;
judging whether the reference offset of each blocking area reaches a preset maximum value, if not, continuously acquiring the environment elements of each blocking area, and repeating the steps; if yes, performing reference maintenance on each blocking area by adopting a corresponding means until the optimal treatment of each blocking area is completed.
In the implementation process, the maximum value which can be obtained according to the embodiment is used as the optimal optimization strategy of each blocking area, the cultivated land of each blocking area is respectively distributed and regulated according to the optimal optimization strategy of each blocking area, in order to avoid the influence caused by the growth of crops in corresponding seasons, the real-time variation of the environmental elements of each blocking area is also obtained, the environmental element reference value of each blocking area is determined according to the growth requirement required by emergency crops, the environmental element reference value of each blocking area and the real-time variation of the environmental elements of each blocking area are combined, the reference offset of each blocking area can be obtained, then the reference offset of each blocking area is monitored in real time, whether the reference offset of each blocking area reaches the preset maximum value is judged in real time, if not, the environmental elements of each blocking area are continuously obtained, and the steps are repeated; if yes, performing reference maintenance on each blocking area by adopting a corresponding means until the optimal treatment of each blocking area is completed.
More specifically, the reference offset of each blocking area is specifically the reference offset of each environmental element of each blocking area, and the corresponding means specifically selects according to the reference offset of the set environmental element of each blocking area, including adjustment means such as fertilization.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A comprehensive management and optimization control method for cultivated quality is characterized by comprising the following steps:
comprehensively evaluating the cultivated land by taking a plurality of dimensions of the cultivated land as references, and summarizing and weighting to form the treatment capacity of the cultivated land;
performing quantitative measurement and calculation on the treatment capacity of the cultivated land based on a quantitative target of the cultivated land, obtaining the blocking level of the cultivated land, and performing regional difference on the cultivated land according to the subordinate relation of the blocking level to define a plurality of blocking regions, wherein the quantitative target of the cultivated land is the treatment capacity which can be achieved by the actual cultivated land, the quantitative measurement and calculation is specifically to perform differential value assessment on the treatment capacity of the actual cultivated land and the treatment capacity of the cultivated land theory, and screening the technical means suitable for the treatment of the cultivated land according to the differential value, so as to obtain the blocking level of the cultivated land by finally obtaining the obtained result;
the method for obtaining the blocking level of the cultivated land comprises the following specific steps:
evaluating the land elements and the environmental elements of the cultivated land, and obtaining the non-twistable quantity of the cultivated land and the torsion effect quantity of the cultivated land, wherein the non-twistable quantity of the cultivated land and the torsion effect quantity of the cultivated land are obtained by evaluating the land elements and the environmental elements of the cultivated land, namely actual data of the cultivated land, according to the actual data of the cultivated land and the land factors, the non-twistable quantity of the cultivated land is characterized as the effect quantity which can be achieved by the non-selectable cultivated land adjusting means, and the torsion effect quantity of the cultivated land is characterized as the effect quantity which can be achieved by the selectable cultivated land adjusting means;
carrying out fusion calculation on the non-torsion quantity of the cultivated land and the torsion effect quantity of the cultivated land to obtain the optimized unbalance degree of the cultivated land so as to be characterized as a quantitative target of the cultivated land;
performing quantitative measurement according to the quantitative target capacity of the cultivated land on the treatment capacity of the cultivated land, obtaining a plurality of blocking components of the cultivated land, summarizing to form a blocking level of the cultivated land, and then performing regional difference on the cultivated land according to the subordination relation of the plurality of blocking components of the cultivated land to define a plurality of blocking regions;
a plurality of optimization elements are drawn, simulation treatment is carried out on the blocking areas through the plurality of optimization elements, optimization coefficients of the blocking areas are obtained, the blocking levels of the cultivated land and the optimization coefficients of the blocking areas are combined to be arranged in sequence from large to small, and the maximum value of the generated comprehensive sequence is selected to be used as an optimal optimization strategy of each blocking area;
performing distribution regulation and control on each blocking area according to an optimal optimization strategy, judging whether the reference offset of each blocking area reaches a preset maximum value, performing reference maintenance on each blocking area by adopting a corresponding means based on a judging result until the optimal treatment of each blocking area is completed, wherein the reference offset is specifically as follows: according to the growth requirements of emergency crops, determining the environmental element reference value of each blocking area, and combining the environmental element reference value of each blocking area and the real-time variation of the environmental element of each blocking area to obtain the reference offset of each blocking area.
2. The method for comprehensive management and optimal control of cultivated land according to claim 1, wherein the method for constructing the management capacity of cultivated land comprises the following specific steps:
determining the planting requirement of the cultivated land, and acquiring the land elements and the environment elements of the required cultivated land according to the planting requirement of the cultivated land;
building multiple dimensions of the cultivated land based on the relief elements and the environmental elements of the required cultivated land and in combination with preset cultivated land quarters;
constructing a cultivated land three-dimensional grid model by adopting the combination of the point cloud data and the GIS, and dividing the cultivated land three-dimensional grid model into a plurality of grid data according to a set proportion;
and evaluating a plurality of grid data divided by the three-dimensional grid model of the cultivated land according to a plurality of dimensions of the cultivated land, and summarizing and weighting the evaluation results of each grid data to form the treatment capability of the cultivated land.
3. The method for comprehensive management and optimization control of cultivated land quality according to claim 2, wherein the construction of the three-dimensional grid model of cultivated land comprises the following specific steps:
adopting an unmanned aerial vehicle aerial photographing system to perform nodding back and forth along a set azimuth based on a preset overlapping degree until the integral image and the relative position information of the cultivated land are obtained;
extracting features of the whole image and the relative position information of the cultivated land, characterizing the extracted feature data as a plurality of point data of the cultivated land, and collecting the plurality of point data of the cultivated land to form initial point cloud data of the cultivated land;
optimizing the initial point cloud data of the cultivated land to generate point cloud data of the cultivated land, importing the point cloud data of the cultivated land into a GIS, and dividing the point cloud data of the cultivated land into a plurality of grid data according to a set proportion;
and carrying out three-dimensional construction on the plurality of grid data by using a set algorithm, judging whether the difference value of the relative distance relation between the grid data and the constructed three-dimensional surface meets a preset interval, and if so, merging the plurality of grid data to finish construction of the three-dimensional grid model of the cultivated land.
4. The method for comprehensive management and optimization control of cultivated land quality according to claim 3, wherein the determining whether the difference of the relative distance relationship between the grid data and the built three-dimensional surface satisfies a preset interval comprises the following specific steps:
three-dimensionally building a plurality of grid data by a set algorithm, and judging whether a difference value of relative distance relations between the grid data and the built three-dimensional surface meets a preset interval or not;
if the relative distance relation difference value between the grid data and the built three-dimensional surface is lower than a preset interval, judging that the three-dimensional building of the grid data fails, and building the grid data by a set algorithm again until the relative distance relation difference value between the grid data and the built three-dimensional surface meets the preset interval;
if the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets a preset interval, judging that the three-dimensional building of the grid data is successful, and continuously judging the next grid data;
if the difference value of the relative distance relation between the grid data and the built three-dimensional surface is larger than the preset interval, judging that the three-dimensional building of the grid data fails, and building the grid data by a set algorithm again until the difference value of the relative distance relation between the grid data and the built three-dimensional surface meets the preset interval.
5. The method for comprehensive management and optimization control of cultivated land quality according to claim 1, wherein the determining whether the reference deviation of each blocking area reaches a preset maximum value comprises the following specific steps:
performing distribution regulation and control on each blocking area according to an optimal optimization strategy, setting an environmental element reference value of each blocking area in the distribution regulation and control, and acquiring environmental elements of each blocking area in real time;
calculating and acquiring the reference offset of each blocking area according to the real-time variable quantity of the environmental element of each blocking area;
judging whether the reference offset of each blocking area reaches a preset maximum value, if not, continuously acquiring the environment elements of each blocking area, and repeating the steps; if yes, performing reference maintenance on each blocking area by adopting a corresponding means until the optimal treatment of each blocking area is completed.
6. The method for comprehensive management and optimization regulation and control of cultivated land quality according to claim 5, wherein the reference deviation degree of each blocking area is specifically the reference deviation degree of each environmental element of each blocking area, and the corresponding means is specifically selected according to the set reference deviation degree of each blocking area.
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