CN116610920A - Soil selenium content on-line monitoring analysis system based on data analysis - Google Patents
Soil selenium content on-line monitoring analysis system based on data analysis Download PDFInfo
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Abstract
The invention belongs to the technical field of soil selenium content monitoring, and particularly discloses a soil selenium content online monitoring and analyzing system based on data analysis, which comprises the following components: analyzing soil selenium content change evaluation coefficients of the corresponding monitoring areas of the monitoring terminals, timely finding and accurately positioning selenium content change abnormal areas of the crop cultivated lands, avoiding the problem of crop yield reduction caused by abnormal selenium content, avoiding large-scale searching operation in the whole crop cultivated land range, and simplifying operation flow; the method comprises the steps of monitoring the selenium content of soil in real time and analyzing the data, specifically analyzing the soil information of each abnormal region with the selenium content, finding out the problem of the soil quality in time, further analyzing the specific cause of the abnormal selenium content of the soil by considering the influence of different factors on the problem of the abnormal selenium content of the soil, and pertinently making and taking treatment measures to strengthen the management and the protection of the soil so as to reduce the occurrence of the abnormal selenium content of the soil.
Description
Technical Field
The invention belongs to the technical field of soil selenium content monitoring, and relates to a soil selenium content online monitoring and analyzing system based on data analysis.
Background
The selenium content in the soil has influence on the growth yield, quality and nutritional value of crops, and is closely related to human health, and the lack of the selenium content can cause various diseases, and excessive ingestion of the selenium content can cause selenium poisoning. Therefore, the selenium content in the soil is monitored and analyzed, so that the soil quality is helped to be known, the grain safety is guaranteed, and meanwhile, scientific basis can be provided to guide the soil management and reasonable utilization.
At present, the existing soil selenium content monitoring and analyzing modes mainly comprise monitoring and manually sampling and analyzing the soil selenium content by using a monitoring instrument, and the two methods lack of depth in the aspect of analyzing the reasons of abnormality of the soil selenium content of the crop cultivated land, and specifically comprise the following aspects: 1. the existing soil selenium content monitoring mode often has lower time and spatial resolution, cannot timely and effectively reflect the change condition of the soil selenium pollution condition, has complexity in operation, cannot realize real-time monitoring and early warning, does not have a perfect monitoring system and early warning mechanism, and lacks comprehensiveness and systemicity, so that partial abnormal conditions can be delayed or ignored, and therefore, the abnormal conditions cannot be timely found and processed.
2. For reasons of abnormal selenium content in soil, the current research remains on the surface, mainly focuses on the aspects of horizontal distribution, variety characteristics and the like of the selenium content in soil, but causes and mechanisms of the selenium content change in soil caused by deep excavation are less, the influence of different soil factors on the selenium content in soil is not deeply explored, the countermeasure aspect of the abnormal selenium content in soil is single, and effective treatment and repair are not realized according to the reasons of the abnormal selenium content in soil.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, an online monitoring and analyzing system for selenium content in soil based on data analysis is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a soil selenium content online monitoring and analyzing system based on data analysis, which comprises: the monitoring equipment setting module is used for dividing the agricultural lands into areas according to the same area to obtain each monitoring area, respectively setting monitoring terminals at the center point position of each monitoring area according to different depths, uniformly distributing each monitoring point in the corresponding monitoring area of each monitoring terminal, and further setting selenium content monitoring equipment at each monitoring point.
The soil selenium content change evaluation module is used for monitoring the selenium content according to a set time period based on the selenium content monitoring equipment set by each monitoring point to obtain the soil selenium content of each monitoring terminal corresponding to each monitoring point in the set time period, so as to analyze the soil selenium content change evaluation coefficient of each monitoring terminal and further screen each selenium content change abnormal region.
The information storage library is used for storing the change curve of the reference time-average selenium content corresponding to each depth range, storing the proper pH value of the depth corresponding to each monitoring terminal and storing the change influence coefficient range of the soil humidity corresponding to each abnormal soil humidity level.
The soil information analysis module is used for acquiring the soil information corresponding to each selenium content change abnormal region and further analyzing the change influence coefficient of each soil information corresponding to each selenium content change abnormal region.
The abnormal change influence evaluation module is used for comparing the change influence coefficients of the selenium content change abnormal areas corresponding to the soil information, screening the maximum value, marking the maximum value as a key abnormal factor of the selenium content change abnormal areas, and further performing corresponding treatment on the key abnormal factors.
In a preferred embodiment, the evaluation coefficient for analyzing the change of the selenium content in the soil of each monitoring terminal is specifically: acquiring soil selenium content of each monitoring terminal corresponding to each monitoring point in a set time period, and carrying out average value calculation on the soil selenium content to obtain average selenium content delta of each monitoring terminal in each time point in the set time period i k I is the number of the monitoring terminal, i=1, 2, & gt, m, k is the number of the corresponding time point of the set time period, k=1, 2, & gt, i, further comparing the average selenium content of each monitoring terminal at each time point in the set time period, screening out the maximum average selenium content and the minimum average selenium content of each monitoring terminal corresponding to the set time period, and recording as delta i (max) 、δ i (min) 。
From analytical formulasObtaining soil selenium content change evaluation coefficients of all monitoring terminals, wherein l is the number of time points and delta i k+1 For the average selenium content of the ith monitoring terminal at the (k+1) th time point in the set time period, delta is the selenium content change allowance of the set adjacent time pointValue of->The respective set selenium content variation and fluctuation amount correspond to the influence duty ratio.
In a preferred embodiment, the screening of the abnormal areas of the selenium content is performed by: comparing the soil selenium content change evaluation coefficient of each monitoring terminal with a set soil selenium content change evaluation coefficient threshold value, and if the soil selenium content change evaluation coefficient of a certain monitoring terminal is larger than the set soil selenium content change evaluation coefficient threshold value, counting to obtain each selenium content change abnormal region by using the monitoring region corresponding to the monitoring terminal as the selenium content change abnormal region.
In a preferred embodiment, the soil information obtaining manner corresponding to each abnormal selenium content change area is as follows: b1, extracting average selenium content of each selenium content change abnormal region at each time point in a set time period from the average selenium content of each monitoring terminal at each time point in the set time period, and further drawing a time-average selenium content change curve corresponding to each selenium content change abnormal region.
And B2, acquiring the corresponding depth of each selenium content variation abnormal region, comparing the depth with a corresponding reference time-average selenium content variation curve of each depth range in a database, and screening to obtain a corresponding reference time-average selenium content variation curve of each selenium content variation abnormal region.
And B3, overlapping and comparing the time-average selenium content change curve of each abnormal selenium content change region with the reference time-average selenium content change curve of the corresponding abnormal selenium content change region, and counting to obtain each abnormal time point corresponding to each abnormal selenium content change region.
And B4, extracting soil information of each monitoring point corresponding to the selenium content change abnormal region at each abnormal time point from the monitoring terminal corresponding to each selenium content change abnormal region, wherein the soil information comprises soil humidity, soil temperature, soil pH value and soil compactness.
In a preferred embodiment, the analysis of each abnormal region of selenium content change corresponds to eachThe content of the change influence coefficient of the soil information comprises: acquiring soil humidity of each monitoring point of each selenium content variation abnormal region at each abnormal time point, and marking as T rj t R is the number of abnormal areas with varying selenium content, r=1, 2,..c, j is the number of monitoring points, j=1, 2,..n, t is the abnormal time point number, t=1, 2,..a.
Analyzing to obtain soil humidity change influence coefficients of each selenium content change abnormal regionWherein n is the number of monitoring points, T rj (t+1) The soil humidity corresponding to the (t+1) th abnormal time point at the (j) th monitoring point of the (r) th selenium content variation abnormal region, T rj max 、T rj min The maximum value and the minimum value of the soil humidity corresponding to the jth monitoring point of the jth selenium content variation abnormal region are respectively, the delta T is the set allowable value of the soil humidity variation of the adjacent abnormal time point, and the beta is 1 、β 2 And the set influence duty factor corresponding to the soil humidity change value and the soil humidity fluctuation amplitude at the adjacent abnormal time point.
Analysis of soil temperature variation influence coefficient TF of each selenium content variation abnormal region r 。
In a preferred embodiment, the change influence coefficient of each abnormal region of selenium content corresponding to each soil information further includes: q1, acquiring the soil pH value of each monitoring point of each selenium content change abnormal region at each abnormal time point, extracting to obtain the mode of the soil pH value corresponding to each monitoring point of each selenium content change abnormal region at the same abnormal time point, and marking the mode as the soil pH value of each selenium content change abnormal region at each abnormal time point.
And Q2, carrying out average calculation on the soil pH value of each abnormal selenium content change region at each abnormal time point to obtain the average soil pH value corresponding to each abnormal selenium content change region.
Q3, comparing the average soil pH value corresponding to each abnormal selenium content change area with the proper pH value of the abnormal selenium content change area in the database,obtaining the PH value difference value P corresponding to each selenium content variation abnormal region r 。
Q4, consist ofAnd obtaining the soil pH value change influence coefficient of each selenium content change abnormal region, wherein deltap is a set pH value allowable difference value, theta is a set pH value difference influence factor, and e is a natural constant.
Q5, obtaining the soil compactness change influence coefficient MF of each selenium content change abnormal region by using the same analysis method r 。
In a preferred embodiment, the key abnormal factors of the abnormal region of selenium content change include soil humidity influence factors, soil temperature influence factors, soil pH influence factors, soil compactness influence factors and other influence factors.
In a preferred embodiment, the abnormal change impact assessment module specifically includes: and Y1, extracting the average selenium content of each selenium content change abnormal region at each abnormal time point from a time-average selenium content change curve corresponding to each selenium content change abnormal region, and extracting the reference selenium content of each selenium content change abnormal region at each abnormal time point from a reference time-average selenium content change curve corresponding to each selenium content change abnormal region.
And Y2, comparing the average selenium content of each abnormal selenium content change region at each abnormal time point with the reference selenium content to obtain the selenium content difference value of each abnormal selenium content change region at each abnormal time point, and carrying out average calculation on the selenium content difference value to obtain the selenium content average deviation value of each abnormal selenium content change region.
And Y3, comparing the change influence coefficients of the selenium content change abnormal areas corresponding to the soil information, if the soil humidity change influence coefficient of a certain selenium content change abnormal area is the maximum value, marking the soil humidity influence factor as a key abnormal factor of the selenium content change abnormal area, and marking the soil humidity change influence coefficient of the selenium content change abnormal area as HF.
When the average deviation value of the selenium content in the abnormal region of the selenium content variation is negative, it is marked as G' according toAnd obtaining the nutrition supplementing quantity corresponding to the selenium content change abnormal region, and feeding back the nutrition supplementing quantity corresponding to the selenium content change abnormal region to the monitoring terminal for display.
When the average selenium content deviation value of the abnormal selenium content region is a positive value, comparing the soil humidity change influence coefficient of the abnormal selenium content region with the soil humidity change influence coefficient range corresponding to each abnormal soil humidity level in the database, and matching to obtain the abnormal soil humidity level of the abnormal selenium content region, so as to perform corresponding treatment according to the corresponding abnormal soil humidity level.
And Y4, counting key abnormal factors corresponding to each abnormal selenium content change region, and correspondingly processing each abnormal selenium content change region in the mode.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the method, the area division and the monitoring are carried out on the crop cultivated land, the abnormal area of the selenium content change of the crop cultivated land is found out timely and accurately according to the soil selenium content change evaluation coefficient of the corresponding depth area of each monitoring terminal, the problems of crop death or yield reduction and the like caused by too high or too low selenium content are avoided, meanwhile, large-scale operation in the whole crop cultivated land is avoided, and the complexity of the operation of workers is reduced.
(2) According to the method, soil information of each abnormal region with selenium content change is specifically analyzed, so that the soil quality problem is found in time, the influence of different factors on the selenium content of the soil is explored, the reasons of abnormal selenium content of the soil, such as the pH value of the soil, the humidity of the soil and the like, are further analyzed, measures are taken pertinently, environmental pollution and ecological damage caused by excessive fertilization are avoided, and therefore the production benefit of crops is improved.
(3) According to the invention, a digital technology is adopted to establish a soil selenium content monitoring system, the soil selenium content is monitored in real time and analyzed in data, abnormal conditions of the soil selenium content are found in time, and corresponding treatment measures are established by comprehensively considering the influence of different factors aiming at the abnormal conditions of the soil selenium content, so that a perfect monitoring system and an early warning mechanism are established, and the soil management and protection are enhanced, so that the abnormal conditions of the soil selenium content are reduced.
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 schematic diagram of the system module connection 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 an online monitoring and analyzing system for selenium content in soil based on data analysis, which comprises: the device comprises a monitoring equipment setting module, a soil selenium content change evaluation module, an information storage library, a soil information analysis module and an abnormal change influence evaluation module. The monitoring equipment setting module is connected with the soil selenium content change evaluation module, the soil selenium content change evaluation module is connected with the soil information analysis module, the soil information analysis module is connected with the abnormal change influence evaluation module, and the information storage library is respectively connected with the soil information analysis module and the abnormal change influence evaluation module.
The monitoring equipment setting module is used for dividing the agricultural lands into areas according to the same area to obtain each monitoring area, respectively setting monitoring terminals at the center point position of each monitoring area according to different depths, uniformly distributing each monitoring point in the corresponding monitoring area of each monitoring terminal, and further setting selenium content monitoring equipment at each monitoring point.
Specifically, the corresponding arrangement depths of the monitoring terminals are different, and the corresponding monitoring areas of the monitoring terminals are areas corresponding to the planes where the bottom ends of the monitoring terminals are located.
And the monitoring terminals are respectively provided with soil information monitoring equipment corresponding to the monitoring points, so that soil information is obtained in real time.
The soil selenium content change evaluation module is used for monitoring the selenium content according to a set time period based on the selenium content monitoring equipment set by each monitoring point to obtain the soil selenium content of each monitoring terminal corresponding to each monitoring point in the set time period, so as to analyze the soil selenium content change evaluation coefficient of each monitoring terminal and further screen each selenium content change abnormal region.
In a specific embodiment of the present invention, the soil selenium content change evaluation coefficient of each monitoring terminal is specifically analyzed as follows: acquiring soil selenium content of each monitoring terminal corresponding to each monitoring point in a set time period, and carrying out average value calculation on the soil selenium content to obtain average selenium content delta of each monitoring terminal in each time point in the set time period i k I is the number of the monitoring terminal, i=1, 2, & gt, m, k is the number of the corresponding time point of the set time period, k=1, 2, & gt, i, further comparing the average selenium content of each monitoring terminal at each time point in the set time period, screening out the maximum average selenium content and the minimum average selenium content of each monitoring terminal corresponding to the set time period, and recording as delta i (max) 、δ i (min) 。
From analytical formulasObtaining soil selenium content change evaluation coefficients of all monitoring terminals, wherein l is the number of time points and delta i k+1 For the average selenium content of the ith monitoring terminal at the (k+1) th time point in the set time period, delta is the selenium content of the set adjacent time pointQuantity change allowance value, ++>The respective set selenium content variation and fluctuation amount correspond to the influence duty ratio.
In a specific embodiment of the present invention, the method for screening the abnormal areas of the selenium content is as follows: comparing the soil selenium content change evaluation coefficient of each monitoring terminal with a set soil selenium content change evaluation coefficient threshold value, and if the soil selenium content change evaluation coefficient of a certain monitoring terminal is larger than the set soil selenium content change evaluation coefficient threshold value, counting to obtain each selenium content change abnormal region by using the monitoring region corresponding to the monitoring terminal as the selenium content change abnormal region.
According to the method, the area division and the monitoring are carried out on the crop cultivated land, the abnormal area of the selenium content change of the crop cultivated land is found out timely and accurately according to the soil selenium content change evaluation coefficient of the corresponding depth area of each monitoring terminal, the problems of crop death or yield reduction and the like caused by too high or too low selenium content are avoided, meanwhile, large-scale operation in the whole crop cultivated land is avoided, and the complexity of the operation of workers is reduced.
The soil information analysis module is used for acquiring soil information corresponding to each selenium content change abnormal region and further analyzing change influence coefficients of the soil information corresponding to each selenium content change abnormal region.
In a specific embodiment of the present invention, the soil information obtaining manner corresponding to each abnormal selenium content change area is as follows: b1, extracting average selenium content of each selenium content change abnormal region at each time point in a set time period from the average selenium content of each monitoring terminal at each time point in the set time period, and further drawing a time-average selenium content change curve corresponding to each selenium content change abnormal region.
And B2, acquiring the corresponding depth of each selenium content variation abnormal region, comparing the depth with a corresponding reference time-average selenium content variation curve of each depth range in a database, and screening to obtain a corresponding reference time-average selenium content variation curve of each selenium content variation abnormal region.
And B3, overlapping and comparing the time-average selenium content change curve of each abnormal selenium content change region with the reference time-average selenium content change curve of the corresponding abnormal selenium content change region, and counting to obtain each abnormal time point corresponding to each abnormal selenium content change region.
And B4, extracting soil information of each monitoring point corresponding to the selenium content change abnormal region at each abnormal time point from the monitoring terminal corresponding to each selenium content change abnormal region, wherein the soil information comprises soil humidity, soil temperature, soil pH value and soil compactness.
The obtaining modes of the abnormal time points corresponding to the abnormal areas of the selenium content are as follows: comparing the average selenium content corresponding to each time point in the time-average selenium content change curve of each selenium content change abnormal region with the reference selenium content corresponding to each time point in the reference time-average selenium content change curve of the corresponding selenium content change abnormal region to obtain the corresponding selenium content difference value of each time point of each selenium content change abnormal region, comparing the corresponding selenium content difference value with a preset selenium content deviation allowable value, and if the corresponding selenium content difference value of a certain time point of a certain selenium content change abnormal region is larger than the preset selenium content deviation allowable value, counting to obtain each abnormal time point corresponding to each selenium content change abnormal region, wherein the time point of the selenium content change abnormal region is an abnormal time point.
The time-average selenium content change curve of the selenium content change abnormal region is a coordinate system constructed by taking time as an abscissa and taking average selenium content as an ordinate, and the reference time-average selenium content change curve is a coordinate system constructed by taking time as an abscissa and taking reference selenium content as an ordinate.
And the depth corresponding to the selenium content change abnormal region is the arrangement depth of the monitoring terminal corresponding to the selenium content change abnormal region.
Soil information of each monitoring point in each abnormal selenium content change region at each abnormal time point is acquired by soil information monitoring equipment arranged corresponding to each monitoring point of each monitoring terminal, and the soil information is stored in the monitoring terminal.
In the concrete practice of the inventionIn an embodiment, the analyzing the content of the change influence coefficient of each of the abnormal areas of selenium content corresponding to each of the soil information includes: acquiring soil humidity of each monitoring point of each selenium content variation abnormal region at each abnormal time point, and marking as T rj t R is the number of abnormal areas with varying selenium content, r=1, 2,..c, j is the number of monitoring points, j=1, 2,..n, t is the abnormal time point number, t=1, 2,..a.
Analyzing to obtain soil humidity change influence coefficients of each selenium content change abnormal regionWherein n is the number of monitoring points, T rj ( t+1 ) The soil humidity corresponding to the (t+1) th abnormal time point at the (j) th monitoring point of the (r) th selenium content variation abnormal region, T rj max 、T rj min The maximum value and the minimum value of the soil humidity corresponding to the jth monitoring point of the jth selenium content variation abnormal region are respectively, the delta T is the set allowable value of the soil humidity variation of the adjacent abnormal time point, and the beta is 1 、β 2 And the set influence duty factor corresponding to the soil humidity change value and the soil humidity fluctuation amplitude at the adjacent abnormal time point.
Analysis of soil temperature variation influence coefficient TF of each selenium content variation abnormal region r 。
The maximum value and the minimum value of the soil humidity corresponding to each monitoring point of each selenium content variation abnormal region are obtained by mutually comparing and screening the soil humidity of each monitoring point corresponding to each selenium content variation abnormal region at each abnormal time point.
In a specific embodiment of the present invention, the change influence coefficient corresponding to each soil information in each abnormal region of selenium content change further includes: q1, acquiring the soil pH value of each monitoring point of each selenium content change abnormal region at each abnormal time point, extracting to obtain the mode of the soil pH value corresponding to each monitoring point of each selenium content change abnormal region at the same abnormal time point, and marking the mode as the soil pH value of each selenium content change abnormal region at each abnormal time point.
And Q2, carrying out average calculation on the soil pH value of each abnormal selenium content change region at each abnormal time point to obtain the average soil pH value corresponding to each abnormal selenium content change region.
Q3, comparing the average soil pH value corresponding to each abnormal selenium content change region with the proper pH value of the abnormal selenium content change region in the database to obtain a pH value difference value P corresponding to each abnormal selenium content change region r 。
Q4, consist ofAnd obtaining the soil pH value change influence coefficient of each selenium content change abnormal region, wherein deltap is a set pH value allowable difference value, theta is a set pH value difference influence factor, and e is a natural constant.
Q5, obtaining the soil compactness change influence coefficient MF of each selenium content change abnormal region by using the same analysis method r 。
According to the method, soil information of each abnormal region with selenium content change is specifically analyzed, so that the soil quality problem is found in time, the influence of different factors on the selenium content of the soil is explored, the reasons of abnormal selenium content of the soil, such as the pH value of the soil, the humidity of the soil and the like, are further analyzed, measures are taken pertinently, environmental pollution and ecological damage caused by excessive fertilization are avoided, and therefore the production benefit of crops is improved.
The abnormal change influence evaluation module is used for comparing the change influence coefficients of the selenium content change abnormal areas corresponding to the soil information, screening the maximum value, marking the maximum value as a key abnormal factor of the selenium content change abnormal areas, and further performing corresponding treatment on the key abnormal factors.
In a specific embodiment of the present invention, the key abnormal factors of the abnormal area of selenium content change include a soil humidity influence factor, a soil temperature influence factor, a soil ph influence factor, a soil compactness influence factor and other influence factors.
In a specific embodiment of the present invention, the specific content of the abnormal change influence evaluation module is: and Y1, extracting the average selenium content of each selenium content change abnormal region at each abnormal time point from a time-average selenium content change curve corresponding to each selenium content change abnormal region, and extracting the reference selenium content of each selenium content change abnormal region at each abnormal time point from a reference time-average selenium content change curve corresponding to each selenium content change abnormal region.
And Y2, comparing the average selenium content of each abnormal selenium content change region at each abnormal time point with the reference selenium content to obtain the selenium content difference value of each abnormal selenium content change region at each abnormal time point, and carrying out average calculation on the selenium content difference value to obtain the selenium content average deviation value of each abnormal selenium content change region.
And Y3, comparing the change influence coefficients of the selenium content change abnormal areas corresponding to the soil information, if the soil humidity change influence coefficient of a certain selenium content change abnormal area is the maximum value, marking the soil humidity influence factor as a key abnormal factor of the selenium content change abnormal area, and marking the soil humidity change influence coefficient of the selenium content change abnormal area as HF.
When the average deviation value of the selenium content in the abnormal region of the selenium content variation is negative, it is marked as G' according toAnd obtaining the nutrition supplementing quantity corresponding to the selenium content variation abnormal region, and further carrying out feedback display on the nutrition supplementing quantity corresponding to the selenium content variation abnormal region.
When the average selenium content deviation value of the abnormal selenium content region is a positive value, comparing the soil humidity change influence coefficient of the abnormal selenium content region with the soil humidity change influence coefficient range corresponding to each abnormal soil humidity level in the database, and matching to obtain the abnormal soil humidity level of the abnormal selenium content region, so as to perform corresponding treatment according to the corresponding abnormal soil humidity level.
And Y4, counting key abnormal factors corresponding to each abnormal selenium content change region, and correspondingly processing each abnormal selenium content change region in a similar way.
The average deviation value of selenium content in each abnormal area of selenium content change is specifically: when the average selenium content of a certain selenium content variation abnormal region at a certain abnormal time point is larger than the reference selenium content, the selenium content difference value of the selenium content variation abnormal region at the abnormal time point is a positive value; when the average selenium content of a certain selenium content variation abnormal region at a certain abnormal time point is smaller than the reference selenium content, the selenium content difference value of the selenium content variation abnormal region at the abnormal time point is a negative value, the selenium content difference value of each selenium content variation abnormal region at each abnormal time point is obtained through statistics, and then average value calculation is carried out to obtain the selenium content average deviation value of each selenium content variation abnormal region.
As an example, the soil humidity change influence coefficient range corresponding to each soil humidity abnormality level is specifically: the range of the soil humidity change influence coefficient corresponding to the first-stage soil humidity abnormal level is 5% -10%, the range of the soil humidity change influence coefficient corresponding to the second-stage soil humidity abnormal level is 10% -15%, and the range of the soil humidity change influence coefficient corresponding to the third-stage soil humidity abnormal level is 15% -20%.
As still another example of the present invention, the respective soil humidity abnormality level correspondence processing modes are: the treatment mode corresponding to the first-stage soil humidity abnormal level is selenium leaching, the treatment mode corresponding to the second-stage soil humidity abnormal level is vegetation restoration, and the treatment mode corresponding to the third-stage soil humidity abnormal level is soil profile ditching.
The information storage library is used for storing the change curve of the reference time-average selenium content corresponding to each depth range, storing the proper pH value of the depth corresponding to each monitoring terminal and storing the change influence coefficient range of the soil humidity corresponding to each abnormal soil humidity level.
According to the invention, a digital technology is adopted to establish a soil selenium content monitoring system, the soil selenium content is monitored in real time and analyzed in data, abnormal conditions of the soil selenium content are found in time, and corresponding treatment measures are established by comprehensively considering the influence of different factors aiming at the abnormal conditions of the soil selenium content, so that a perfect monitoring system and an early warning mechanism are established, and the soil management and protection are enhanced, so that the abnormal conditions of the soil selenium content are reduced.
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 (8)
1. The on-line monitoring and analyzing system for the selenium content of the soil based on data analysis is characterized in that: the system comprises:
the monitoring equipment setting module is used for dividing the agricultural lands into areas according to the same area to obtain monitoring areas, respectively setting monitoring terminals at the center point positions of the monitoring areas according to different depths, uniformly distributing monitoring points in the monitoring areas corresponding to the monitoring terminals, and further setting selenium content monitoring equipment at the monitoring points;
the soil selenium content change evaluation module is used for monitoring the selenium content according to a set time period based on the selenium content monitoring equipment set by each monitoring point to obtain the soil selenium content of each monitoring terminal corresponding to each monitoring point in the set time period, so as to analyze the soil selenium content change evaluation coefficient of each monitoring terminal and further screen each selenium content change abnormal region;
the information storage library is used for storing the change curve of the reference time-average selenium content corresponding to each depth range, storing the proper pH value of the depth corresponding to each monitoring terminal and storing the change influence coefficient range of the soil humidity corresponding to each abnormal soil humidity level;
the soil information analysis module is used for acquiring soil information corresponding to each selenium content change abnormal region and further analyzing change influence coefficients of the soil information corresponding to each selenium content change abnormal region;
the abnormal change influence evaluation module is used for comparing the change influence coefficients of the selenium content change abnormal areas corresponding to the soil information, screening the maximum value, marking the maximum value as a key abnormal factor of the selenium content change abnormal areas, and further performing corresponding treatment on the key abnormal factors.
2. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 1, wherein the system is characterized in that: the soil selenium content change evaluation coefficients of all the monitoring terminals are analyzed specifically as follows:
acquiring soil selenium content of each monitoring terminal corresponding to each monitoring point in a set time period, and carrying out average value calculation on the soil selenium content to obtain average selenium content delta of each monitoring terminal in each time point in the set time period i k I is the number of the monitoring terminal, i=1, 2, & gt, m, k is the number of the corresponding time point of the set time period, k=1, 2, & gt, i, further comparing the average selenium content of each monitoring terminal at each time point in the set time period, screening out the maximum average selenium content and the minimum average selenium content of each monitoring terminal corresponding to the set time period, and recording as delta i (max) 、δ i (min) ；
From analytical formulasObtaining soil selenium content change evaluation coefficients of all monitoring terminals, wherein l is the number of time points and delta i k+1 For the average selenium content of the ith monitoring terminal at the (k+1) th time point in the set time period, delta is the set allowable value of selenium content change of the adjacent time point, and the (I)>The respective set selenium content variation and fluctuation amount correspond to the influence duty ratio.
3. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 1, wherein the system is characterized in that: the method for screening the abnormal areas with the selenium content is as follows: comparing the soil selenium content change evaluation coefficient of each monitoring terminal with a set soil selenium content change evaluation coefficient threshold value, and if the soil selenium content change evaluation coefficient of a certain monitoring terminal is larger than the set soil selenium content change evaluation coefficient threshold value, counting to obtain each selenium content change abnormal region by using the monitoring region corresponding to the monitoring terminal as the selenium content change abnormal region.
4. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 2, wherein the system is characterized in that: the soil information acquisition mode corresponding to each selenium content variation abnormal area is as follows:
b1, extracting average selenium content of each selenium content change abnormal region at each time point in a set time period from average selenium content of each monitoring terminal at each time point in the set time period, and further drawing a time-average selenium content change curve corresponding to each selenium content change abnormal region;
b2, obtaining the corresponding depth of each selenium content variation abnormal region, comparing the depth with a corresponding reference time-average selenium content variation curve of each depth range in a database, and screening to obtain a corresponding reference time-average selenium content variation curve of each selenium content variation abnormal region;
b3, overlapping and comparing the time-average selenium content change curve of each selenium content change abnormal region with the reference time-average selenium content change curve of the corresponding selenium content change abnormal region, and counting to obtain each abnormal time point corresponding to each selenium content change abnormal region;
and B4, extracting soil information of each monitoring point corresponding to the selenium content change abnormal region at each abnormal time point from the monitoring terminal corresponding to each selenium content change abnormal region, wherein the soil information comprises soil humidity, soil temperature, soil pH value and soil compactness.
5. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 4, wherein the system comprises: the analysis of the content of the change influence coefficient of each soil information corresponding to each selenium content change abnormal region comprises the following steps:
acquiring soil humidity of each monitoring point of each selenium content variation abnormal region at each abnormal time point, and marking as T rj t R is the abnormal region number of selenium content variation, r=1, 2,..Point number, j=1, 2,..n, t is an abnormal time point number, t=1, 2,..a;
analyzing to obtain soil humidity change influence coefficients of each selenium content change abnormal regionWherein n is the number of monitoring points, T rj (t+1) The soil humidity corresponding to the (t+1) th abnormal time point at the (j) th monitoring point of the (r) th selenium content variation abnormal region, T rj max 、T rj min The maximum value and the minimum value of the soil humidity corresponding to the jth monitoring point of the jth selenium content variation abnormal region are respectively, the delta T is the set allowable value of the soil humidity variation of the adjacent abnormal time point, and the beta is 1 、β 2 The method comprises the steps of setting an influence duty factor corresponding to a soil humidity change value and a soil humidity fluctuation range of adjacent abnormal time points;
analysis of soil temperature variation influence coefficient TF of each selenium content variation abnormal region r 。
6. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 4, wherein the system comprises: the change influence coefficients corresponding to the soil information in the selenium content change abnormal areas further comprise:
q1, acquiring the soil pH value of each monitoring point of each selenium content change abnormal region at each abnormal time point, extracting to obtain the mode of the soil pH value corresponding to each monitoring point of each selenium content change abnormal region at the same abnormal time point, and marking the mode as the soil pH value of each selenium content change abnormal region at each abnormal time point;
q2, calculating the average value of the soil pH value of each abnormal selenium content change region at each abnormal time point to obtain the average soil pH value corresponding to each abnormal selenium content change region;
q3, comparing the average soil pH value corresponding to each abnormal selenium content change region with the proper pH value of the abnormal selenium content change region in the database to obtain a pH value difference value P corresponding to each abnormal selenium content change region r ；
Q4, consist ofObtaining soil pH value change influence coefficients of each selenium content change abnormal region, wherein Deltap is a set pH value allowable difference value, theta is a set pH value difference influence factor, and e is a natural constant;
q5, obtaining the soil compactness change influence coefficient MF of each selenium content change abnormal region by using the same analysis method r 。
7. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 1, wherein the system is characterized in that: the key abnormal factors of the abnormal selenium content change area comprise soil humidity influence factors, soil temperature influence factors, soil pH value influence factors, soil compactness influence factors and other influence factors.
8. The online monitoring and analyzing system for selenium content in soil based on data analysis according to claim 4, wherein the system comprises: the abnormal change influence evaluation module comprises the following specific contents:
y1, extracting average selenium content of each selenium content change abnormal region at each abnormal time point from a time-average selenium content change curve corresponding to each selenium content change abnormal region, and extracting reference selenium content of each selenium content change abnormal region at each abnormal time point from a reference time-average selenium content change curve corresponding to each selenium content change abnormal region;
y2, comparing the average selenium content of each abnormal selenium content change region at each abnormal time point with the reference selenium content to obtain the selenium content difference value of each abnormal selenium content change region at each abnormal time point, and carrying out average calculation to obtain the selenium content average deviation value of each abnormal selenium content change region;
y3, comparing the change influence coefficients of the selenium content change abnormal areas corresponding to the soil information, if the soil humidity change influence coefficient of a certain selenium content change abnormal area is the maximum value, marking the soil humidity influence factor as a key abnormal factor of the selenium content change abnormal area, and marking the soil humidity change influence coefficient of the selenium content change abnormal area as HF;
when the average deviation value of the selenium content in the abnormal region of the selenium content variation is negative, it is marked as G' according toObtaining the nutrition supplementing quantity corresponding to the selenium content variation abnormal region, and feeding back the nutrition supplementing quantity corresponding to the selenium content variation abnormal region to a monitoring terminal for display;
when the average selenium content deviation value of the selenium content variation abnormal region is a positive value, comparing the soil humidity variation influence coefficient of the selenium content variation abnormal region with the soil humidity variation influence coefficient range corresponding to each soil humidity abnormal level in the database, and matching to obtain the soil humidity abnormal level of the selenium content variation abnormal region, so as to perform corresponding treatment according to the corresponding soil humidity abnormal level;
and Y4, counting key abnormal factors corresponding to each abnormal selenium content change region, and correspondingly processing each abnormal selenium content change region in the mode.
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| CN117092102A (en) * | 2023-10-19 | 2023-11-21 | 江西省检验检测认证总院食品检验检测研究院(江西省粮食质量检验中心) | Plant selenium content sampling, detecting and managing system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117092102A (en) * | 2023-10-19 | 2023-11-21 | 江西省检验检测认证总院食品检验检测研究院(江西省粮食质量检验中心) | Plant selenium content sampling, detecting and managing system |
| CN117092102B (en) * | 2023-10-19 | 2024-01-30 | 江西省检验检测认证总院食品检验检测研究院(江西省粮食质量检验中心) | Plant selenium content sampling, detecting and managing system |
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