CN116993056B - Sensor-based saline-alkali soil improvement data analysis processing method - Google Patents
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Abstract
The invention belongs to the technical field of data analysis and processing, and particularly discloses a saline-alkali soil improvement data analysis and processing method based on a sensor, which comprises the steps of carrying out deep analysis on environmental data of the saline-alkali soil and data of multiple dimensions such as basic soil data, soil structure data, soil moisture data, plant generation environmental data, planting data, growth data and the like of an unused area, further evaluating the saline-alkali improvement effect of a target improvement land, and confirming that improvement does not reach reasons when an evaluation index of the saline-alkali improvement effect is smaller than an evaluation index of a set expected improvement effect, and further feeding back; the invention effectively solves the problem that the analysis and the processing of the current saline-alkali soil improvement data have certain limitation, realizes the integrated analysis of multi-source data, provides more comprehensive and comprehensive analysis results, facilitates the formulation of subsequent improvement measures and the timely adjustment of improvement schemes, and provides convenience for realizing the efficient treatment of the saline-alkali soil.
Description
Technical Field
The invention belongs to the technical field of data analysis and processing, and relates to a sensor-based saline-alkali soil improvement data analysis and processing method.
Background
Saline-alkali soil refers to soil with too high salt content and alkaline substance content, and is widely used in various global areas, especially in arid and semiarid areas. In order to utilize these lands and to increase farmland yields, improved data for saline-alkali soil needs to be analyzed and processed.
The existing improved data analysis and treatment of the saline-alkali soil mainly analyzes the soil property, plant growth vigor and other data of the improved saline-alkali soil, such as soil porosity, plant appearance and the like, so as to judge the improvement condition of the saline-alkali soil, and correct the corresponding improvement scheme, and obviously, the analysis and treatment mode of the improved data of the saline-alkali soil has certain limitations, and the specific aspects are as follows: 1. the saline-alkali soil improvement analysis relates to the influence of various factors, such as precipitation, temperature, vegetation, groundwater and the like, the current dimension is more conventional and single, the integration of multi-source data is lacked, the utilization rate of the saline-alkali soil improvement data is insufficient, and a more comprehensive and comprehensive analysis result cannot be provided, so that the improvement effect of the saline-alkali soil cannot be guaranteed.
2. The current analysis is comparatively general and surface, does not carry out further analysis and contrast to the condition of the different regions of same piece of land, lacks reasonable contrast group for the reference basis of saline and alkaline land improvement effect analysis is comparatively limited, and then can't guarantee the accuracy of saline and alkaline land improvement effect analysis, also can't guarantee pertinence and the validity of saline and alkaline land follow-up simultaneously.
3. The influence of external environment on the improvement analysis of the saline-alkali soil is ignored at present, such as factors of multiple aspects of climate change law, groundwater gushing, water evaporation, shielding around the soil and the like, so that the flexibility of the improvement analysis of the saline-alkali soil is insufficient, a certain error is generated in the evaluation of the improvement effect of the saline-alkali soil, the establishment of subsequent improvement measures and the timely adjustment of an improvement scheme are inconvenient, and the efficient treatment of the saline-alkali soil cannot be realized.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, a method for analyzing and processing improved data of a saline-alkali soil based on a sensor is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a sensor-based saline-alkali soil improvement data analysis processing method, which comprises the following steps: step 1, extracting saline-alkali environment data: the current improvement saline-alkali soil is marked as target improvement, and the environmental data of the target improvement in the set improvement period is extracted.
Step 2, extracting saline-alkali soil data: dividing the object improvement into improved regions according to an equidistant dividing mode, extracting the area of each improved region, and numbering each improved region as a sequenceSimultaneously extracting soil data before corresponding improvement of each improvement area and soil data in a set improvement period, wherein the soil data comprises basic soilSoil data, soil structure data, and soil moisture data.
Step 3, extracting plant data of the saline-alkali soil: and extracting the plant growth environment data, the plant data and the growth data of each improvement area in a set improvement period.
Step 4, evaluating the improvement state of the saline-alkali soil: evaluating the saline-alkali improvement effect of the target improvement land to obtain a saline-alkali improvement effect evaluation index of the target improvement land。
Step 5, correcting and evaluating the improvement measures of the saline-alkali soil: the objective improvement land corresponds to the saline-alkali improvement effect evaluation indexEvaluation index of expected improvement effect with the setting +.>Comparison is carried out and is->In this case, it was confirmed that the improvement was not achieved.
Step 6, feeding back an analysis result of the improvement of the saline-alkali soil: the saline-alkali improvement effect evaluation index and the improvement unachievable reason of the target improvement land are fed back to an improvement manager of the target improvement land.
Preferably, the environmental data includes temperature, humidity, solar duration and wind speed for each improvement day.
The basic soil data are soil porosity and salt content of each improvement day, the soil structure data are soil thickness of each monitoring point in each improvement day, and the soil moisture data are soil humidity, groundwater emission amount and soil water evaporation amount of each improvement day.
The growth environment data are the area of the shielding area of each improvement day, the planting data are the number of initial planting plants, and the growth data are the number of survival plants of each improvement day, and the average root depth, the average stalk diameter and the average leaf area of the corresponding survival plants.
Preferably, a pair ofThe evaluation of the saline-alkali improving effect of the target improving area comprises: extracting the temperature, humidity, sunlight duration and wind speed of each improvement day from the environmental data, and respectively recording as、/>、/>And->T represents the improvement day number,。
extracting soil moisture data, soil structure data and plant growth environment data of each improving area in a set improving period, and setting improving effect interference factors of each improving area，/>Indicates the number of the modified region, & lt + & gt>。
According to the basic soil data of each improvement area in the set improvement period, the soil improvement state evaluation index of each improvement area is counted。
According to the plant data and the growth data of the plants in the set improvement period of each improvement area, counting the plant growth state evaluation index of each improvement area。
Confirming each improvement area according to the improvement effect interference factors of each improvement areaReference soil improvement state assessment index for domainsAnd evaluate the index +.>。
Evaluation index of saline-alkali improvement effect of statistical target improvement land，，/>Respectively setting allowable soil improvement state evaluation index difference, plant growth state evaluation index difference, adjacent area soil improvement state evaluation index difference and adjacent area plant growth state evaluation index difference, and->The soil improvement state evaluation index and the plant growth state evaluation index of the (i+1) th improvement region are respectively shown, and n is the number of improvement regions.
Preferably, the setting the improvement effect interference factor of each improvement area includes: calculating weather environment deviation degree of target improvement land。
Extracting soil humidity, groundwater emission and soil water evaporation of each improvement day from soil moisture data of each improvement area in a set improvement period, respectively recording as、/>And->System for managingThe moisture environmental deviation degree of each improved area is measured>，/>，/>Respectively setting the proper soil humidity, groundwater emission quantity and soil water evaporation quantity of the saline-alkali soil and the ∈10->Indicates the number of improvement days, & gt>Representing rounding down symbols.
Extracting the soil thickness of each monitoring point in each improvement day from the soil structure data of each improvement area in a set monitoring period, and counting the deviation degree of the soil thickness of each improvement area。
Extracting the area of the shielding area of each improvement day from the plant growth environment data of each improvement area in the set improvement period, and marking asThe area of each modified region is designated +.>Counting the deviation degree of the growth environment of each improved area +.>，，/>Is the set reference shielding area ratio.
Setting each improvement areaImproved effect interference factor of (a)，，/>The weather environment deviation degree, the water environment deviation degree, the soil thickness deviation degree and the growth environment deviation degree of the set reference are respectively.
Preferably, the statistical objective improved weather environment deviation degree comprises: the humidity of each improvement day is set to be suitable for the saline-alkali soilMatching comparison, statistics lower than +.>Is recorded as +.>。
The temperature of each improvement day and the set proper temperature of the saline-alkali soil are treatedIn contrast, the statistics are higher than +.>Is recorded as +.>。
The wind speed of each improvement day and the set suitable wind speed of the saline-alkali soil are setIn contrast, statistics are greater than +.>Is recorded as +.>Statistics of date level deviation degree of destination improvement +.>，/>，/>For a set deviation date ratio.
Counting the degree of deviation of the numerical level of a target improvement，，/>To set the reference illumination duration.
Calculating weather environment deviation degree of target improvement land，/>，The date level deviation degree and the numerical level deviation degree of the set reference are respectively.
Preferably, the calculating the soil improvement state evaluation index of each improvement region includes: extracting soil porosity from soil data before corresponding improvement of each improvement areaAnd salt content->Simultaneously extracting soil porosity ++each improvement day from basic soil data of each improvement area in a set improvement period>And salt content->。
Counting the trend of soil improvement effect of each improvement area on each improvement dayConstructing soil improvement effect trend curves of all improvement areas by taking improvement days as an abscissa and soil improvement effect trend degrees as an ordinate, and extracting slopes from the soil improvement effect trend curves, wherein the slope is recorded as improvement increase rate +.>Simultaneously extracting the number and amplitude of the fluctuation points, which are respectively marked as +.>And。
counting soil improvement state evaluation indexes of each improvement area，，/>The extreme value difference of the trend degree of the improvement effect is set for the improvement growth rate of the reference.
Preferably, the specific statistical formula of the soil improvement effect trend degree of each improvement area on each improvement day is as follows:，/>the soil porosity and the salt content of the set reference are respectively poor.
Preferably, the statistics of plant growth state evaluation indexes of each improved region include: the number of the initial plants is extracted from the plant data of the plants in each improvement area in the set improvement period.
The number of the survival plants of each improvement day is extracted from the growth data of each improvement area in the set improvement period, and compared with the number of the initial planting plants, so that the survival plant ratio of each improvement area in each improvement day is obtained.
Extracting average root depth, average stalk diameter and average leaf area of the corresponding survival plants on each improvement day from the growth data, and counting the growth standard degree of the survival plants on each improvement day in each improvement area。
Constructing a survival plant ratio change curve and a survival plant growth standard change curve corresponding to each improvement area, extracting slope values from the survival plant ratio change curve and the survival plant growth standard change curve respectively, and taking the slope values as survival plant ratio increase rates respectivelyAnd survival growth up to standard rate of increase->。
Counting plant growth state evaluation indexes of each improved area，，/>The growth of the survival plants is set as a scale, the specific growth rate of the survival plants is set as a standard growth rate of the survival plants.
Preferably, said counting of the surviving plant growth per improvement zone on each improvement day is scaled up to comprise:the average root depth, average stalk diameter and average leaf area of the corresponding living plants in each improvement area on each improvement day are respectively recorded as、/>And->Survival plant growth of each improvement area on each improvement day was counted up to the scale +.>，，/>The conventional root system depth, the conventional stalk diameter and the conventional leaf area of the reference plant are respectively set.
Preferably, the confirming the reason for the improvement not being achieved includes: extracting weather environment deviation degree of target improvement landAnd the moisture environmental deviation degree and the growth environmental deviation degree of each improved area, and obtaining the average environmental deviation degree of the improved area by means of average calculation>And average growth environmental deviation->。
Extracting plant growth state evaluation index of each improved regionAnd comparing with the set plant growth state evaluation index interval, counting the number of the improved regions in the plant growth state evaluation index interval, and changingThe plant growth state evaluation index interval with the largest number of good areas is used as a reference plant growth state evaluation index interval.
The plant growth state evaluation indexes of the improved areas in the reference plant growth state evaluation index interval are subjected to average calculation to obtain the average plant growth state evaluation indexes of the improved areas。
If it isAnd->Or alternativelyAnd->Climate factors are not considered as a cause of improvement.
If it isAnd->The plant selection factor is not used as a reason for improvement.
If it isAnd->The improvement measure factor is not considered as the reason for improvement.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the environmental data of the saline-alkali soil and the basic soil data, the soil structure data, the soil moisture data, the plant generation environmental data, the planting data, the growth data and other data in multiple dimensions are deeply analyzed, so that the saline-alkali improvement effect of the target improvement soil is evaluated, the problem of limitation existing in the analysis and the treatment of the current saline-alkali soil improvement data is effectively solved, the defect of the current conventional and single factor improvement evaluation is overcome, the integrated analysis of multi-source data is realized, the utilization rate of the saline-alkali soil improvement data is further improved, and a more comprehensive and comprehensive analysis result is provided, thereby facilitating the formulation of subsequent improvement measures and the timely adjustment of an improvement scheme, and simultaneously providing a bedding for the improvement effect of the subsequent saline-alkali soil and providing convenience for realizing the efficient treatment of the saline-alkali soil.
(2) According to the invention, by dividing the saline-alkali area and analyzing the soil improvement state and the plant growth state in different areas, the further analysis of the soil improvement condition in different areas of the same soil is realized, the defects that the current saline-alkali soil improvement effect analysis is more general and surface are effectively avoided, a more reasonable comparison group is provided for the saline-alkali soil improvement effect analysis, the limitation of the reference basis in the saline-alkali soil improvement effect analysis is broken, the accuracy of the saline-alkali soil improvement effect analysis is ensured, and the pertinence and the effectiveness of the subsequent treatment of the saline-alkali soil are also ensured.
(3) According to the method, the improved effect interference factors of the improved areas are set according to the influence factors of the areas of the improved areas in the set improved period, the soil humidity, the groundwater emission amount, the soil water evaporation amount, the thicknesses of different monitoring points of the soil, the temperature and humidity and the like, so that the influence of the external environment on the improvement analysis of the saline-alkali soil is intuitively displayed, the authenticity and convincing effect of the analysis result of the improved effect of the saline-alkali soil are further improved, the reliability and the referential property of the subsequent analysis of the improved effect of the saline-alkali soil according to the set reference are ensured as much as possible, the evaluation error of the improved effect of the saline-alkali soil is effectively reduced, and the flexibility of the analysis of the improved effect of the saline-alkali soil is improved.
(4) According to the invention, when the evaluation index of the corresponding saline-alkali improvement effect of the target improvement land is smaller than the evaluation index of the expected improvement effect, the unachievable reason is confirmed, so that the saline-alkali land improvement manager can more comprehensively and accurately know the current treatment current situation, the work complexity of the saline-alkali land improvement manager is reduced, the difference of the source tracing process of the manual improvement adaptation reason is avoided, the saline-alkali land improvement manager can conveniently formulate feasible treatment measures according to the actual situation, and the treatment strategy is further adjusted and optimized in a targeted manner, so that the effectiveness of the saline-alkali land treatment and the effective development of the propulsion treatment work are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a sensor-based method for analyzing and processing improved data of saline-alkali soil, which comprises the following steps: step 1, extracting saline-alkali environment data: the current improvement saline-alkali soil is marked as target improvement, and the environmental data of the target improvement in the set improvement period is extracted.
Specifically, the environmental data includes temperature, humidity, solar duration, and wind speed for each improvement day.
In one embodiment, high wind speeds and temperatures can accelerate evaporation of soil moisture, and if the wind speeds or temperatures are too high, increased rates of soil moisture evaporation can lead to insufficient moisture, exacerbating the problem of salt accumulation in the soil, while high wind speeds can cause friction and collisions between particles on the soil surface, thereby causing physical breakage of the soil surface and handling of the particles. This may lead to uneven saline-alkali distribution, so that the salt concentration in some areas is higher, while the salt concentration in other areas is relatively lower, and thus the improvement effect assessment is greatly error, and the higher the humidity is, the less the interference to the improvement effect of the saline-alkali soil is.
Step 2, extracting saline-alkali soil data: dividing the object improvement into improved regions according to an equidistant dividing mode, extracting the area of each improved region, and numbering each improved region as a sequenceAnd simultaneously extracting soil data before corresponding improvement of each improvement area and soil data in a set improvement period, wherein the soil data comprises basic soil data, soil structure data and soil moisture data.
Specifically, the basic soil data are soil porosity and salt content of each improvement day, the soil structure data are soil thickness of each monitoring point in each improvement day, and the soil moisture data are soil humidity, groundwater emission amount and soil water evaporation amount of each improvement day.
Step 3, extracting plant data of the saline-alkali soil: and extracting the plant growth environment data, the plant data and the growth data of each improvement area in a set improvement period.
Specifically, the growth environment data is the area of a shielding area on each improvement day, the planting data is the number of initial planting plants, and the growth data is the number of survival plants on each improvement day, and the average root depth, the average stalk diameter and the average leaf area of the corresponding survival plants.
Step 4, evaluating the improvement state of the saline-alkali soil: evaluating the saline-alkali improvement effect of the target improvement land to obtain a saline-alkali improvement effect evaluation index of the target improvement land。
Illustratively, assessing the saline-alkali improvement effect of the target improvement site includes: u1, counted from the environmentExtracting the temperature, humidity, sunshine duration and wind speed of each improvement day from the above materials, and respectively recording as、/>、/>And->T represents the improvement day number,。
u2, extracting soil moisture data, soil structure data and plant growth environment data of each improvement area in a set improvement period, and setting improvement effect interference factors of each improvement area，/>Indicates the number of the modified region, & lt + & gt>。
Understandably, setting the improvement effect interference factor of each improvement area includes: u2-1, and statistics of weather environment deviation degree of target improvement。
Further, the method for calculating the weather environment deviation degree of the target improvement comprises the following steps: e1, setting the humidity of each improvement day and the proper humidity of the saline-alkali soilMatching comparison, statistics lower than +.>Improved number of daysThe purpose is marked as->。
E2, setting the temperature of each improvement day and the proper temperature of the saline-alkali soilIn contrast, the statistics are higher than +.>Is recorded as +.>。
E3, setting the wind speed of each improvement day and the proper wind speed of the saline-alkali soilIn contrast, statistics are greater than +.>Is recorded as +.>Statistics of date level deviation degree of destination improvement +.>，/>，/>For a set deviation date ratio.
E4, counting the numerical level deviation degree of the target improvement place，，/>To set the reference illumination duration.
E5, calculating weather environment deviation degree of target improvement，，/>The date level deviation degree and the numerical level deviation degree of the set reference are respectively.
U2-2, extract soil moisture, groundwater emission and soil water evaporation from soil moisture data of each improvement region in a set period of improvement, respectively recorded as、/>And->Counting the deviation degree of the moisture environment in each improved area>，/>，/>Respectively setting the proper soil humidity, groundwater emission quantity and soil water evaporation quantity of the saline-alkali soil and the ∈10->Indicates the number of improvement days, & gt>Representing rounding down symbols.
In one embodiment, groundwater output refers to the amount of groundwater flowing to the surface through soil pores. In the improvement of the saline-alkali soil, the magnitude of the groundwater emission quantity is directly related to the effect of salt leaching. When the groundwater emission amount is large, salt in the soil can be effectively taken away, accumulation of salt is reduced, and the soil salinization degree is reduced.
U2-3, extracting the soil thickness of each monitoring point in each improvement day from the soil structure data of each improvement area in a set monitoring period, and counting the deviation degree of the soil thickness of each improvement area。
The statistical soil thickness deviation of each improvement region includes: u2-3-1, extracting the highest soil thickness and the lowest soil thickness from the soil thickness of each monitoring point in each improvement day in each improvement area, and obtaining the soil thickness difference of each improvement day in each improvement area.
U2-3-2, comparing the soil thickness difference of each improvement area in each improvement day with the set soil thickness difference interval, counting the number of improvement days of each improvement area in each soil thickness difference interval, and taking the soil thickness difference interval with the largest number of improvement days as the concentrated soil thickness difference interval of each improvement area.
U2-3-3, wherein the average value of the upper limit value and the lower limit value of the concentrated soil thickness difference interval is calculated, the calculated result is taken as the reference soil thickness difference of each improvement area, and the calculated result is recorded asThe soil thickness deviation degree of each improvement area is counted>，，/>Is a set suitable soil thickness difference.
U2-4, in the set modification period from each modification areaExtracting the area of the shielding area of each improvement day from the plant growth environment data, and marking the area asThe area of each modified region is designated +.>Counting the deviation degree of the growth environment of each improved area，/>，/>Is the set reference shielding area ratio.
U2-51, improvement effect interference factor for setting each improvement area，，/>The weather environment deviation degree, the water environment deviation degree, the soil thickness deviation degree and the growth environment deviation degree of the set reference are respectively.
According to the embodiment of the invention, the improvement effect interference factors of each improvement area are set according to the influence factors of the areas of the shielding areas, the soil humidity, the groundwater emission amount, the soil water evaporation amount, the thicknesses of different monitoring points of the soil, the temperature and humidity and the like in the set improvement period, so that the influence of the external environment on the improvement analysis of the saline-alkali soil is intuitively displayed, the authenticity and convincing effect analysis result of the saline-alkali soil is further improved, the reliability and the referential property of the subsequent analysis of the improvement effect of the saline-alkali soil according to the set reference are ensured as much as possible, the evaluation error of the improvement effect of the saline-alkali soil is effectively reduced, and the analysis flexibility of the improvement effect of the saline-alkali soil is improved.
U3, according to the basic soil data of each improvement area in the set improvement period, counting the soil improvement state evaluation index of each improvement area。
Understandably, the soil improvement state evaluation index for each improvement zone is counted, including: u3-1, extracting soil porosity from soil data before corresponding improvement of each improvement areaAnd salt content->Simultaneously extracting soil porosity ++each improvement day from basic soil data of each improvement area in a set improvement period>And salt content->。
U3-2, statistics of soil improvement effect tendencies of each improvement area on each improvement dayWherein, the method comprises the steps of, wherein,，/>respectively setting the soil porosity difference and the salt content difference to be reference, further taking the improvement day as the abscissa, taking the soil improvement effect trend degree as the ordinate, constructing a soil improvement effect trend change curve of each improvement area, extracting the slope from the soil improvement effect trend change curve, and marking the soil improvement effect trend change curve as the improvement growth rate>Simultaneously extracting the number and amplitude of the fluctuation points, which are respectively marked as +.>And->。
In one embodiment, the porosity of the soil determines the moisture holding capacity of the soil. In saline-alkali soil improvement, regulation of moisture is critical, as appropriate moisture conditions can promote leaching of salt and transfer of salt in soil. Higher porosity can provide more moisture storage space and facilitate moisture penetration and retention, while higher porosity can provide space and channels needed for plant root growth. The higher porosity facilitates the stretching and expanding of the root system, thereby increasing the ability of the root system to absorb moisture and nutrients.
In another embodiment, the slope extraction in the present invention is to extract the slope of the regression line corresponding to the curve, and the fluctuation point refers to the point with opposite left and right trends in the curve, such as the point with left rising and right falling or left falling and right rising.
U3-3, statistics of soil improvement state evaluation index of each improvement area，，/>The extreme value difference of the trend degree of the improvement effect is set for the improvement growth rate of the reference.
U4, counting plant growth state evaluation indexes of each improved area according to plant planting data and growth data of the plants in the set improved period of each improved area。
Understandably, counting plant growth status assessment indices for each modified region includes: u4-1, extracting the number of initially planted plants from the planting data of the plants in each improvement area in a set improvement period.
U4-2, extracting the number of the survival plants of each improvement day from the growth data of each improvement area in a set improvement period, and comparing the number of the survival plants with the number of the initial planting plants to obtain the ratio of the survival plants of each improvement area in each improvement day.
U4-3, extracting average root depth, average stalk diameter and average leaf area of the corresponding survival plants on each improvement day from the growth data, and counting the growth standard of the survival plants on each improvement day in each improvement area。
Further, counting the viable plant growth scale for each improvement zone on each improvement day, comprising: the average root depth, average stalk diameter and average leaf area of the corresponding living plants in each improvement area on each improvement day are respectively recorded as、And->Survival plant growth of each improvement area on each improvement day was counted up to the scale +.>，，/>The conventional root system depth, the conventional stalk diameter and the conventional leaf area of the reference plant are respectively set.
U4-4, taking each improvement day as an abscissa, taking the ratio of the survival plants and the growth scale of the survival plants as an ordinate respectively, further constructing a survival plant ratio change curve and a survival plant growth standard change curve corresponding to each improvement area,respectively extracting slope values from the survival plant specific change curve and the survival plant growth standard change curve, and respectively taking the slope values as survival plant specific growth ratesAnd survival growth up to standard rate of increase->。
U4-5, and evaluating indexes of plant growth states of all improved areas，，/>The growth of the survival plants is set as a scale, the specific growth rate of the survival plants is set as a standard growth rate of the survival plants.
According to the embodiment of the invention, by dividing the saline-alkali area and analyzing the soil improvement state and the plant growth state in different areas, the further analysis of the soil improvement condition in different areas of the same soil is realized, the defects that the current saline-alkali soil improvement effect analysis is more general and surface are effectively avoided, a more reasonable comparison group is provided for the saline-alkali soil improvement effect analysis, the limitation of reference basis in the saline-alkali soil improvement effect analysis is broken, the accuracy of the saline-alkali soil improvement effect analysis is ensured, and the pertinence and the effectiveness of the subsequent treatment of the saline-alkali soil are also ensured.
U5, according to the improvement effect interference factor of each improvement area, confirming the reference soil improvement state evaluation index of each improvement areaAnd evaluate the index +.>。
The specific confirmation process for confirming the reference soil improvement state evaluation index and the reference plant growth state evaluation index corresponding to the improvement effect interference factors in each improvement region is as follows: and respectively matching the improvement effect interference factors of the improved areas with the set corresponding reference soil improvement state evaluation indexes and the reference plant growth state evaluation indexes of the improved areas to obtain the reference soil improvement state evaluation indexes and the reference plant growth state evaluation indexes of the improved areas.
U6, evaluating index of saline-alkali improvement effect of statistical target improvement land，，/>Respectively setting allowable soil improvement state evaluation index difference, plant growth state evaluation index difference, adjacent area soil improvement state evaluation index difference and adjacent area plant growth state evaluation index difference, and->The soil improvement state evaluation index and the plant growth state evaluation index of the (i+1) th improvement region are respectively shown, and n is the number of improvement regions.
According to the embodiment of the invention, the environmental data of the saline-alkali soil and the basic soil data, the soil structure data, the soil moisture data, the plant generation environmental data, the planting data, the growth data and other data in multiple dimensions are subjected to deep analysis, so that the saline-alkali improvement effect of the target improvement soil is evaluated, the problem of limitation existing in the analysis and the treatment of the current saline-alkali soil improvement data is effectively solved, the defect of the current conventional and single factor improvement evaluation is overcome, the integrated analysis of multi-source data is realized, the utilization rate of the saline-alkali soil improvement data is further improved, and a more comprehensive and comprehensive analysis result is provided, so that the establishment of subsequent improvement measures and the timely adjustment of an improvement scheme are facilitated, and meanwhile, the laying is arranged for the improvement effect of the subsequent saline-alkali soil and the convenience is provided for realizing the efficient treatment of the saline-alkali soil.
Step 5, correcting and evaluating the improvement measures of the saline-alkali soil: the objective improvement land corresponds to the saline-alkali improvement effect evaluation indexEvaluation index of expected improvement effect with the setting +.>Comparison is carried out and is->In this case, it was confirmed that the improvement was not achieved.
Specifically, confirming the reason for the improvement not being achieved includes: extracting weather environment deviation degree of target improvement landAnd the moisture environmental deviation degree and the growth environmental deviation degree of each improved area, and obtaining the average environmental deviation degree of the improved area by means of average calculation>And average growth environmental deviation->。
Extracting plant growth state evaluation index of each improved regionAnd comparing the obtained result with the set plant growth state evaluation index intervals, counting the number of the improved areas in the plant growth state evaluation index intervals, and taking the plant growth state evaluation index interval with the largest number of the improved areas as a reference plant growth state evaluation index interval.
The plant growth state evaluation indexes of each improved area in the reference plant growth state evaluation index interval are subjected to average calculation to obtain the average plant growth of the improved areaState evaluation index。
If it isAnd->Or alternativelyAnd->Climate factors are not considered as a cause of improvement.
If it isAnd->The plant selection factor is not used as a reason for improvement.
If it isAnd->The improvement measure factor is not considered as the reason for improvement.
According to the embodiment of the invention, when the evaluation index of the corresponding saline-alkali soil improvement effect of the target improvement land is smaller than the evaluation index of the expected improvement effect, the unachievable reason is confirmed, so that the saline-alkali soil improvement manager can more comprehensively and accurately know the current treatment current situation, the work complexity of the saline-alkali soil improvement manager is reduced, meanwhile, the difference of the manual improvement adaptation reason tracing process is avoided, the saline-alkali soil improvement manager can conveniently formulate a feasible treatment measure according to the actual situation, and the treatment strategy is further adjusted and optimized in a targeted manner, so that the effectiveness of the saline-alkali soil treatment and the effective development of the promotion treatment work are improved.
Step 6, feeding back an analysis result of the improvement of the saline-alkali soil: the saline-alkali improvement effect evaluation index and the improvement unachievable reason of the target improvement land are fed back to an improvement manager of the target improvement land.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (9)
1. A sensor-based saline-alkali soil improvement data analysis processing method is characterized by comprising the following steps of: the method comprises the following steps:
step 1, extracting saline-alkali environment data: marking the current improved saline-alkali soil as an object improvement ground, and extracting environment data of the object improvement ground in a set improvement period;
step 2, extracting saline-alkali soil data: dividing the object improvement into improved regions according to an equidistant dividing mode, extracting the area of each improved region, and numbering each improved region as a sequenceSimultaneously extracting soil data before corresponding improvement of each improvement area and soil data in a set improvement period, wherein the soil data comprises basic soil data, soil structure data and soil moisture data;
step 3, extracting plant data of the saline-alkali soil: extracting plant growth environment data, planting data and growth data of each improvement area in a set improvement period;
step 4, evaluating the improvement state of the saline-alkali soil: evaluating the saline-alkali improvement effect of the target improvement land to obtain a saline-alkali improvement effect evaluation index of the target improvement land；
The evaluation of the saline-alkali improving effect of the target improving land comprises:
extracting the temperature, humidity, sunlight duration and wind speed of each improvement day from the environmental data, and respectively recording as、/>、/>And->T represents improvement day number, < >>；
Extracting soil moisture data, soil structure data and plant growth environment data of each improving area in a set improving period, and setting improving effect interference factors of each improving area，/>Indicates the number of the modified region, & lt + & gt>；
According to the basic soil data of each improvement area in the set improvement period, the soil improvement state evaluation index of each improvement area is counted；
According to the plant data and the growth data of the plants in the set improvement period of each improvement area, counting the plant growth state evaluation index of each improvement area；
Confirming the reference soil improvement state evaluation index of each improvement area according to the improvement effect interference factor of each improvement areaAnd evaluate the index +.>；
Evaluation index of saline-alkali improvement effect of statistical target improvement land，，/>Respectively setting allowable soil improvement state evaluation index difference, plant growth state evaluation index difference, adjacent area soil improvement state evaluation index difference and adjacent area plant growth state evaluation index difference, and->Soil improvement state evaluation indexes and plant growth state evaluation indexes of the (i+1) th improvement areas respectively, wherein n is the number of the improvement areas;
step 5, correcting and evaluating the improvement measures of the saline-alkali soil: the objective improvement land corresponds to the saline-alkali improvement effect evaluation indexEvaluation index of expected improvement effect with the setting +.>Comparison is carried out and is->When the improvement is not achieved, confirming the reason;
step 6, feeding back an analysis result of the improvement of the saline-alkali soil: the saline-alkali improvement effect evaluation index and the improvement unachievable reason of the target improvement land are fed back to an improvement manager of the target improvement land.
2. The sensor-based saline-alkali soil improvement data analysis processing method is characterized by comprising the following steps of: the environment data comprise the temperature, humidity, sunlight duration and wind speed of each improvement day;
the basic soil data are soil porosity and salt content of each improvement day, the soil structure data are soil thickness of each monitoring point in each improvement day, and the soil moisture data are soil humidity, groundwater emission amount and soil water evaporation amount of each improvement day;
the growth environment data are the area of the shielding area of each improvement day, the planting data are the number of initial planting plants, and the growth data are the number of survival plants of each improvement day, and the average root depth, the average stalk diameter and the average leaf area of the corresponding survival plants.
3. The sensor-based saline-alkali soil improvement data analysis processing method is characterized by comprising the following steps of: the setting of the improvement effect interference factors of each improvement area comprises the following steps:
calculating weather environment deviation degree of target improvement land；
Extracting soil humidity, groundwater emission and soil water evaporation of each improvement day from soil moisture data of each improvement area in a set improvement period, respectively recording as、/>And->Counting the deviation degree of the moisture environment of each improved area，/>，/>Respectively setting the proper soil humidity, groundwater emission quantity and soil water evaporation quantity of the saline-alkali soil and the ∈10->Indicates the number of improvement days, & gt>Representing a downward rounding symbol;
extracting the soil thickness of each monitoring point in each improvement day from the soil structure data of each improvement area in a set monitoring period, and counting the deviation degree of the soil thickness of each improvement area；
Extracting the area of the shielding area of each improvement day from the plant growth environment data of each improvement area in the set improvement period, and marking asThe area of each modified region is designated +.>Counting the deviation degree of the growth environment of each improved area +.>，，/>The reference shielding area ratio is set;
setting improvement effect interference factors of each improvement area，，/>The weather environment deviation degree, the water environment deviation degree, the soil thickness deviation degree and the growth environment deviation degree of the set reference are respectively.
4. The sensor-based saline-alkali soil improvement data analysis processing method according to claim 3, wherein the method comprises the following steps: the weather environment deviation degree of the statistical target improvement land comprises the following steps:
the humidity of each improvement day is set to be suitable for the saline-alkali soilMatching comparison, statistics lower than +.>Is recorded as +.>；
The temperature of each improvement day and the set proper temperature of the saline-alkali soil are treatedIn contrast, the statistics are higher than +.>Is recorded as +.>；
The wind speed of each improvement day and the set suitable wind speed of the saline-alkali soil are setIn contrast, statistics are greater than +.>The number of improvement days is recorded asStatistics of date level deviation degree of destination improvement +.>，/>，/>A set deviation date ratio;
counting the degree of deviation of the numerical level of a target improvement，，/>Setting a reference illumination time length;
calculating weather environment deviation degree of target improvement land，/>，The date level deviation degree and the numerical level deviation degree of the set reference are respectively.
5. The sensor-based saline-alkali soil improvement data analysis processing method according to claim 3, wherein the method comprises the following steps: the evaluating index for evaluating the soil improvement state of each improvement area comprises the following steps:
extracting soil porosity from soil data before corresponding improvement of each improvement areaAnd salt content->Simultaneously extracting soil porosity ++each improvement day from basic soil data of each improvement area in a set improvement period>And salt content->；
Counting the trend of soil improvement effect of each improvement area on each improvement dayConstructing soil improvement effect trend curves of all improvement areas by taking improvement days as an abscissa and soil improvement effect trend degrees as an ordinate, and extracting slopes from the soil improvement effect trend curves, wherein the slope is recorded as improvement increase rate +.>Simultaneously extracting the number and amplitude of the fluctuation points, which are respectively marked as +.>And->；
Counting soil improvement state evaluation indexes of each improvement area，，/>The extreme value difference of the trend degree of the improvement effect is set for the improvement growth rate of the reference.
6. The sensor-based saline-alkali soil improvement data analysis processing method is characterized by comprising the following steps of: the specific statistical formula of the soil improvement effect trend degree of each improvement area on each improvement day is as follows:，/>the soil porosity and the salt content of the set reference are respectively poor.
7. The sensor-based saline-alkali soil improvement data analysis processing method is characterized by comprising the following steps of: the plant growth state evaluation index of each improved area is counted, and the method comprises the following steps:
extracting the number of initial plants from the plant data of the plants in each improvement area in a set improvement period;
extracting the number of the survival plants of each improvement day from the growth data of each improvement area in a set improvement period, and comparing the number of the survival plants with the number of the initial planting plants to obtain the ratio of the survival plants of each improvement area in each improvement day;
extracting average root depth, average stalk diameter and average leaf area of the corresponding survival plants of each improvement day from the growth data, and counting each improvement daySurvival plant growth standard reaching degree in each improvement day of improvement area；
Constructing a survival plant ratio change curve and a survival plant growth standard change curve corresponding to each improvement area, extracting slope values from the survival plant ratio change curve and the survival plant growth standard change curve respectively, and taking the slope values as survival plant ratio increase rates respectivelyAnd survival growth up to standard rate of increase->；
Counting plant growth state evaluation indexes of each improved area，，/>The growth of the survival plants is set as a scale, the specific growth rate of the survival plants is set as a standard growth rate of the survival plants.
8. The sensor-based saline-alkali soil improvement data analysis processing method is characterized by comprising the following steps of: the statistics of the growth scale of the surviving plants in each improvement zone on each improvement day comprises:
the average root depth, average stalk diameter and average leaf area of the corresponding living plants in each improvement area on each improvement day are respectively recorded as、/>And->Survival plant growth of each improvement area on each improvement day was counted up to the scale +.>，，/>The conventional root system depth, the conventional stalk diameter and the conventional leaf area of the reference plant are respectively set.
9. The sensor-based saline-alkali soil improvement data analysis processing method according to claim 3, wherein the method comprises the following steps: the confirmation of the failure to improve the reason includes:
extracting weather environment deviation degree of target improvement landAnd the moisture environmental deviation degree and the growth environmental deviation degree of each improved area, and obtaining the average environmental deviation degree of the improved area by means of average calculation>And average growth environmental deviation->；
Extracting plant growth state evaluation index of each improved regionAnd comparing with the set plant growth state evaluation index interval, counting the number of the improved regions in the plant growth state evaluation index interval, and maximizing the number of the improved regionsThe plant growth state evaluation index interval is used as a reference plant growth state evaluation index interval;
the plant growth state evaluation indexes of the improved areas in the reference plant growth state evaluation index interval are subjected to average calculation to obtain the average plant growth state evaluation indexes of the improved areas；
If it isAnd->Or->And is also provided withClimate factors are not considered as a reason for improvement;
if it isAnd->The plant selection factor is used as the unachievable reason for improvement;
if it isAnd->The improvement measure factor is not considered as the reason for improvement.
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