CN117787666A - Saline-alkali soil information monitoring and treatment method, system, equipment and storage medium - Google Patents
Saline-alkali soil information monitoring and treatment method, system, equipment and storage medium Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 148
- 239000003513 alkali Substances 0.000 title claims abstract description 116
- 239000002689 soil Substances 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims abstract description 46
- 230000006872 improvement Effects 0.000 claims abstract description 58
- 238000012545 processing Methods 0.000 claims abstract description 51
- 230000000295 complement effect Effects 0.000 claims abstract description 32
- 230000008859 change Effects 0.000 claims description 32
- 238000010586 diagram Methods 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 8
- 239000002585 base Substances 0.000 claims description 6
- 238000013524 data verification Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 claims 1
- 238000005067 remediation Methods 0.000 claims 1
- 150000003839 salts Chemical class 0.000 description 19
- 230000008569 process Effects 0.000 description 12
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012886 linear function Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000011780 sodium chloride Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000000813 microbial effect Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
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Abstract
The application discloses a saline-alkali soil information monitoring and treating method, a system, equipment and a storage medium, and belongs to the technical field of saline-alkali soil monitoring. The method comprises the following steps: acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; deploying monitoring equipment to a region to be monitored, and periodically acquiring monitoring data of the monitoring equipment; when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain filled data and complement the monitored data; verifying the shim data based on subsequent data of the shim data to determine an accuracy of the shim data; crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand. The method can ensure the data integrity of the saline-alkali soil to a certain extent and monitor and plan the saline-alkali soil.
Description
Technical Field
The application relates to the technical field of saline-alkali soil monitoring, in particular to a saline-alkali soil information monitoring and treating method, a system, equipment and a storage medium.
Background
Saline-alkali soil is a kind of salt accumulation, and refers to soil in which salt contained in the soil affects normal growth of crops.
Soil salinization is a serious challenge facing the global agricultural environment and is one of the key factors causing the shortage of cultivated land resources and the deterioration of ecological environment. In the treatment process of the saline-alkali soil, as the saline-alkali degree is gradually reduced, different methods are needed to manage the saline-alkali soil, and the missing data may influence the monitoring of the saline-alkali soil.
Therefore, how to ensure the integrity of the data of the saline-alkali soil to a certain extent and monitor and plan the saline-alkali soil becomes a problem to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a saline-alkali soil information monitoring and treating method, a system, equipment and a storage medium, which are used for solving the following technical problems: how to ensure the data integrity of the saline-alkali soil to a certain extent and monitor and plan the saline-alkali soil.
In a first aspect, an embodiment of the present application provides a method for monitoring and controlling information of a saline-alkali soil, where the method includes: acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the to-be-treated area comprises an agricultural area to be monitored and a forestry area to be monitored; deploying monitoring equipment to the area to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; when the monitoring data is missing, processing historical data of the monitoring data based on a preset data complement algorithm to obtain filling data and complementing the monitoring data; validating the shim data based on subsequent data of the shim data to determine an accuracy of the shim data; crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
Further, the area to be processed is processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored, which specifically comprises: processing the area to be processed based on the initial saline-alkali data to determine an area to be improved; processing the area to be improved based on the terrain data to determine an improvable area; the improvable area is processed based on the improvement requirement to determine the area to be monitored.
Further, processing the modifiable area based on the retrofit requirement to determine the area to be monitored specifically includes: dividing the modifiable area based on the natural demand to divide into a natural agricultural region and a natural forestry region; and perfecting the natural forestry area and the natural agricultural area based on the artificial demand so as to determine the area to be monitored, and dividing the area to be monitored into the agricultural area to be monitored and the forestry area to be monitored.
Further, when the monitored data is missing, the historical data of the monitored data is processed based on a preset data complement algorithm to obtain the filled data, and the monitored data is complemented, which specifically includes: when the saline-alkali data and the crop data are missing, marking the missing data as missing data; the missing data comprises data uploading time and data attributes; calling historical data of monitoring data with the same data attribute as the missing data; constructing a data change formula based on the historical data; and processing the data uploading time of the missing data based on the data change formula to determine the value of the missing data so as to complement the monitoring data.
Further, constructing a data change formula based on the historical data specifically includes: taking the missing data as a base point, intercepting a first quantity of historical data to obtain characteristic data; constructing a two-dimensional coordinate system, wherein the data uploading time of the characteristic data is an abscissa, and the numerical value of the characteristic data is an ordinate; filling the characteristic data into a two-dimensional coordinate system to obtain a data change map; and combining a preset fitting formula algorithm based on the change condition of the characteristic data in the data change diagram to construct a data change formula.
Further, verifying the padding data based on subsequent data of the padding data to determine accuracy of the padding data, specifically includes: taking the latest monitoring data of the filling data as a base point, and intercepting a second number of historical data according to a time sequence to determine verification data; substituting the verification data value into the data change formula to verify whether the filling data is reasonable or not; if yes, changing the filling data into trusted data; if not, changing the filling data into abnormal data, and verifying the accuracy of the filling data through the monitoring data.
Further, constructing a saline-alkali data monitoring platform; and uploading the initial saline-alkali data, the topographic data and the improvement demands to the data monitoring platform.
In a second aspect, an embodiment of the present application further provides a saline-alkali soil information monitoring and treatment system, which is characterized in that the system includes: the information acquisition module is used for acquiring initial saline-alkali data, topographic data and improvement requirements of the area to be processed; the first processing module is used for processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine the area to be monitored; the area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored; the second processing module is used for deploying the monitoring equipment to the area to be monitored and periodically acquiring the monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; the data complement module is used for processing the historical data of the monitoring data based on a preset data complement algorithm when the monitoring data is in a missing state so as to acquire the filling data and complement the monitoring data; the data verification module is used for verifying the filling data based on the follow-up data of the filling data so as to determine the accuracy of the filling data; the data adjustment module is used for adjusting crop data of the area to be monitored based on the monitoring data and the improvement requirement; and the data display module is used for constructing a saline-alkali data monitoring platform and displaying the saline-alkali data.
In a third aspect, an embodiment of the present application further provides a saline-alkali soil information monitoring and treatment device, which is characterized in that the device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to: acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored; deploying monitoring equipment to a region to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain filled data and complement the monitored data; verifying the shim data based on subsequent data of the shim data to determine an accuracy of the shim data; crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
In a fourth aspect, an embodiment of the present application further provides a non-volatile computer storage medium for monitoring and controlling saline-alkali soil information, where computer executable instructions are stored, where the computer executable instructions are configured to: acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored; deploying monitoring equipment to a region to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain filled data and complement the monitored data; verifying the shim data based on subsequent data of the shim data to determine an accuracy of the shim data; crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
According to the saline-alkali soil information monitoring and treating method, system, equipment and storage medium, initial saline-alkali data of a piece of area are obtained, the piece of area is divided into areas to be monitored by referring to the topographic data and improvement requirements of the piece of area, the area which can be modified is divided into areas to be monitored, the areas to be monitored can be treated according to actual requirements, monitoring equipment is deployed in the areas to be monitored to obtain monitoring data of the areas to be monitored, filling and judging are carried out on filling data, the integrity of the data can be guaranteed to a certain extent, and then monitoring planning can be carried out on the saline-alkali soil according to the complete data.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
FIG. 1 is a flow chart of a method for monitoring and controlling saline-alkali soil information provided by an embodiment of the application;
fig. 2 is a schematic diagram of an internal structure of a saline-alkali soil information monitoring and treating device according to an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The embodiment of the application provides a saline-alkali soil information monitoring and treating method, a system, equipment and a storage medium, which are used for solving the following technical problems: how to ensure the data integrity of the saline-alkali soil to a certain extent and monitor and plan the saline-alkali soil.
The following describes in detail the technical solution proposed in the embodiments of the present application through the accompanying drawings.
Fig. 1 is a flowchart of monitoring and managing saline-alkali soil information provided in an embodiment of the present application. As shown in fig. 1, the method for monitoring and treating the saline-alkali soil information provided by the embodiment of the application specifically includes the following steps:
and step 1, acquiring initial saline-alkali data, topographic data and improvement requirements of the area to be treated.
The area to be treated is the area which needs to be treated by the saline alkali.
The initial saline-alkali data is the saline-alkali data of the area to be processed, and the data can be obtained through field investigation by researchers.
The topographic data is the topographic features of the area to be processed and the data is three-dimensional data.
The improvement needs include natural needs, which are naturally occurring needs, such as plain being more suitable for planting crops and slope being more suitable for planting trees, and man-made needs.
The human demand is an expectation of the area to be treated, i.e. the object to be achieved, for example the need to obtain 100 tons of cash crop in the area to be treated.
And 2, processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine the area to be monitored.
The area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored.
The agricultural area to be monitored is an area where crops are planted, and is generally characterized by the need to change the kinds of crops every fixed time. The forestry area to be monitored is an area planted with trees, and is characterized in that the tree types do not need to be replaced after the trees are planted.
The specific process of determining the area to be monitored is illustrated by steps 21 to 23.
And step 21, processing the area to be processed based on the initial saline-alkali data to determine the area to be improved.
The area to be improved is an area with the salt and alkali degree exceeding a preset salt and alkali threshold value. The setting of the saline-alkali threshold is set according to actual requirements, and is usually a fixed value.
In the area to be treated, only the area with the saline-alkali data larger than the preset saline-alkali threshold value needs to be treated, and the area is the area to be improved.
Step 22, processing the area to be improved based on the topographic data to determine an improved area.
In areas where improvement is desired, areas where the salinity and alkalinity are high are not suitable for planting crops or trees, such as steep slopes, due to the influence of topographical factors.
For areas where crops or trees can be planted, they are divided into areas where improvement can occur.
Step 23, processing the modifiable area based on the retrofit requirement to determine the area to be monitored.
The treatment for the modifiable region is also different because of the different need for modification. The improvement needs include natural needs and artificial needs.
The natural demand is a naturally occurring demand, for example, a plain is more suitable for planting crops, and a slope is more suitable for planting trees.
The modifiable area is divided based on natural demand to be divided into a natural agricultural area and a natural forestry area. It should be noted that, the natural requirement needs to consider the topography factors.
The natural forestry area and the natural agricultural area are perfected based on human requirements to determine the area to be monitored, and the area to be monitored is divided into the agricultural area to be monitored and the forestry area to be monitored.
In a specific example, the ratio of the natural forestry area to the natural agricultural area after the natural demand is distinguished is 3:1, and the artificial demand requires that the ratio of the natural forestry area to the natural agricultural area is 1:1, and then a part of the natural forestry area is divided into the natural agricultural area according to the artificial demand so as to determine the agricultural area to be monitored and the forestry area to be monitored.
The specific operation process is as follows: in natural demand, tree planting
And 3, deploying the monitoring equipment to the area to be monitored, and periodically acquiring monitoring data of the monitoring equipment.
The monitoring data includes saline-alkali data and crop data. The saline-alkali data is the saline alkalinity of soil in the area to be monitored, and the crop data is the crop growth data growing in the area to be monitored.
Deployed monitoring devices include, but are not limited to, conductivity meters, ph meters, microbial sensors.
And 4, when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain the filled data and complement the monitored data.
In the process of monitoring data, because occasional errors may cause the uploaded data to have a missing, the missing data will affect the monitoring of the monitored data, so the missing data needs to be complemented.
The data complement algorithm is specifically illustrated by steps 41 through 43.
And step 41, when the saline-alkali data and the crop data are missing, marking missing data.
It is first necessary to determine the data that needs to be data-complemented, i.e. the missing data.
The missing data includes data upload time and data attributes.
For example, the presence of missing saline-alkali data is: A1B1 land parcels, when the data uploading time is 12 months and 12 days 1, the data attribute saline-alkali degree is unknown.
Step 42, retrieving the historical data of the monitoring data with the same data attribute as the missing data.
Since the monitoring data is periodically uploaded, the missing data attribute in the missing data can be presumed according to the historical data, and it can be understood that the monitoring data with the uniform data attribute is the data of the same monitoring area.
Based on step 41, retrieving historical data with the data attribute of the A1B1 land block being the salt alkalinity, and setting the data acquisition period to be 1 day, the obtained historical data is as follows:
12 months, 11 days 1, the salt alkalinity is 0.71;
12 months, 10 days and 1 hour, the salt alkalinity is 0.72;
12 months 09, 1, the salt alkalinity is 0.72;
and so on until complete historical data is obtained.
Step 43, constructing a data change formula based on historical data;
firstly, taking missing data as a base point, intercepting a first amount of historical data to obtain characteristic data. The feature data is data that can predict missing data.
In a specific example, the first number is 10, and then referring to step 42, historical data for 12 months 11 days to 02 days is intercepted.
Secondly, constructing a two-dimensional coordinate system, filling the characteristic data into the two-dimensional coordinate system according to the data uploading time of the characteristic data as an abscissa and the numerical value of the characteristic data as an ordinate so as to obtain a data change graph, combining a preset fitting formula algorithm based on the change condition of the characteristic data in the data change graph, and constructing a data change formula.
The data change of the saline-alkali soil follows a certain rule, the rule can be expressed by a formula, and the formula of the data change, namely the data change formula, can be deduced according to the data change condition.
The preset fitting algorithm formula is used for constructing a curve equation through the positions of points of the characteristic data in the two-dimensional coordinate system.
The fitting algorithm formula comprises an exponential function, a logarithmic function, a power function, a linear function and the like.
Taking the above examples as examples:
at 12 months 11 days 1, the salt alkalinity is 0.710, and the coordinates are (11,0.710) in a two-dimensional coordinate system;
12 months, 10 days 1, the salt alkalinity is 0.721, and the coordinates are (10,0.710) in a two-dimensional coordinate system;
12 months 09, 1, the salt alkalinity is 0.722, and the coordinates are (09,0.710) in a two-dimensional coordinate system;
at 12 months and 08 days 1, the salt alkalinity is 0.724, and the coordinates are 08,0.710 in a two-dimensional coordinate system;
12 months 07, day 1, the salt alkalinity is 0.726, and the coordinates are (07,0.710) in a two-dimensional coordinate system;
12 months 06 days 1, the salt alkalinity is 0.727, and the coordinates are (06,0.710) in a two-dimensional coordinate system;
12 months, 05 days and 1, the salt alkalinity is 0.729, and the coordinates are (05,0.710) in a two-dimensional coordinate system;
12 months 04 day 1, the salt alkalinity is 0.730, and the coordinates are (04,0.710) in a two-dimensional coordinate system;
12 months 03, 1 day, the salt alkalinity is 0.731, and the coordinates are (03,0.710) in a two-dimensional coordinate system;
12 months, 02 and 1 days, the salt alkalinity is 0.734, and the coordinates are (02,0.710) in a two-dimensional coordinate system;
from the above data, it can be known that the data follows a linear function to some extent, and the linear function is set as y=kx+b; substituting the data to obtain a data change formula.
In the actual production process, the numerical value of the data attribute of the filling data is not only related to time variation, but also possibly related to other variables, such as the relationship between the salt alkalinity and the growth state of crops and the time. If the two sets of data are related, a two-dimensional coordinate system is constructed, and if the three sets of data are related, a three-dimensional coordinate type is constructed.
It should be noted that, the foregoing data is simplified for convenience of description, in an actual operation process, the number of acquired historical data (first number) is generally kilobit level data, and the data attribute of the missing data shows an exponential decrease trend, and a fitting algorithm formula is in the prior art and is not described herein.
And step 44, processing the data uploading time of the filling data based on the data change formula to determine the numerical value of the filling data so as to perfect the monitoring data.
Substituting the data uploading time of the filling data into the data change formula can determine the numerical value of the filling data, namely the numerical value of the data attribute.
Referring to the data case, i.e., substituting x=12, the value of y (saline-alkali degree) can be determined.
And step 5, verifying the filling data based on the follow-up data of the filling data so as to determine the accuracy of the filling data.
For the filled data, verification is required, the accuracy of the filled data is determined according to a verification result, and the verification process is verified by the following process.
And intercepting a second amount of historical data according to a time sequence by taking the latest monitoring data as a base point, and verifying whether filling data are reasonable or not based on the latest data. It should be noted that the second amount should be smaller than the amount of data between the latest monitoring data and the padding data.
The verification process is to substitute the latest data into the data change formula in the step 4, and the substituted data uploading time is used for determining the calculated value. Comparing the difference between the calculated value and the true value, when the difference between the calculated value and the true value is smaller than a preset difference threshold, the filling data is accurate, and when the difference between the calculated value and the true value is larger than or equal to the preset difference threshold, the filling data is inaccurate.
If yes, changing the filling data into trusted data;
if not, changing the filling data into abnormal data, and verifying the accuracy of the filling data through the monitoring data.
It should be noted that, the accuracy of the filling data may be marked in a grading manner according to the difference between the calculated value and the actual value, and in a specific example, the calculated value is 11, and the actual value is 10, and the difference is 1, which exceeds the actual value by 10%.
The difference is set to be credible with less than 15 percent, more than or equal to 15 percent and less than or equal to 35 percent, and more than 35 percent is not credible.
Then in this instance the shim data is marked as authentic based on the real data.
And 6, adjusting crop data of the area to be monitored based on the monitoring data and the improvement requirement.
For the agricultural area to be monitored, the crops suitable for planting are different for soils of different salinities, because the crops need to be updated as they mature. The crops to be changed are determined according to the monitoring data and the improvement demands of the crops at maturity.
It can be appreciated that the salinization of the soil at the time of crop maturity can also be predicted according to the data change formula.
In order to facilitate each institution to inquire the monitoring data, a saline-alkali data monitoring platform is established. And uploading the initial saline-alkali data, the topographic data and the improvement demands to a data monitoring platform so as to facilitate the inquiry of each institution.
The foregoing is a method embodiment presented herein. Based on the same inventive concept, the embodiment of the application also provides a saline-alkali soil information monitoring and treatment system, which comprises an information acquisition module, a first processing module, a second processing module, a data complement module, a data verification module, a data adjustment module and a data display module; specifically: the information acquisition module is used for acquiring initial saline-alkali data, topographic data and improvement requirements of the area to be processed; the first processing module is used for processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine the area to be monitored; the area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored; the second processing module is used for deploying the monitoring equipment to the area to be monitored and periodically acquiring the monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; the data complement module is used for processing the historical data of the monitoring data based on a preset data complement algorithm when the monitoring data is in a missing state so as to acquire the filling data and complement the monitoring data; the data verification module is used for verifying the filling data based on the follow-up data of the filling data so as to determine the accuracy of the filling data; the data adjustment module is used for adjusting crop data of the area to be monitored based on the monitoring data and the improvement requirement; and the data display module is used for constructing a saline-alkali data monitoring platform and displaying the saline-alkali data.
Based on the same inventive concept, the embodiment of the application also provides a saline-alkali soil information monitoring and treating device, and the structure of the device is shown in fig. 2.
Fig. 2 is a schematic diagram of an internal structure of a saline-alkali soil information monitoring and treating device according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
at least one processor 201;
and a memory 202 communicatively coupled to the at least one processor;
wherein the memory 202 stores instructions executable by the at least one processor, the instructions being executable by the at least one processor 201 to enable the at least one processor 201 to:
acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored; deploying monitoring equipment to a region to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain filled data and complement the monitored data; verifying the shim data based on subsequent data of the shim data to determine an accuracy of the shim data; crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
Some embodiments of the present application provide a non-volatile computer storage medium corresponding to a saline-alkali soil information monitoring and management of fig. 1, storing computer-executable instructions, where the computer-executable instructions are configured to:
acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the area to be treated comprises an agricultural area to be monitored and a forestry area to be monitored; deploying monitoring equipment to a region to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data; when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain filled data and complement the monitored data; verifying the shim data based on subsequent data of the shim data to determine an accuracy of the shim data; crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the internet of things device and the medium embodiment, since they are substantially similar to the method embodiment, the description is relatively simple, and the relevant points are referred to in the description of the method embodiment.
The systems and media and the methods provided in the embodiments of the present application are in one-to-one correspondence, so that the systems and media also have similar beneficial technical effects to the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media are not described here again.
It will be apparent to those skilled in the art that embodiments of the present application may provide a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of the present application, are intended to be included within the scope of the present application.
Claims (10)
1. The method for monitoring and treating the saline-alkali soil information is characterized by comprising the following steps:
acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; wherein the improvement requirement comprises a natural requirement and an artificial requirement;
processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the to-be-treated area comprises an agricultural area to be monitored and a forestry area to be monitored;
deploying monitoring equipment to the area to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data;
when the monitoring data is missing, processing historical data of the monitoring data based on a preset data complement algorithm to obtain filling data and complementing the monitoring data;
validating the shim data based on subsequent data of the shim data to determine an accuracy of the shim data;
crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
2. The method for monitoring and controlling the saline-alkali soil information according to claim 1, wherein the area to be treated is treated based on the initial saline-alkali data, the topographic data and the improvement requirement to determine the area to be monitored, and specifically comprises the following steps:
processing the area to be processed based on the initial saline-alkali data to determine an area to be improved;
processing the area to be improved based on the terrain data to determine an improvable area;
the improvable area is processed based on the improvement requirement to determine the area to be monitored.
3. The method for monitoring and managing the saline-alkali soil information according to claim 2, wherein the area to be monitored is determined by processing the area to be improved based on the improvement requirement, and the method specifically comprises:
dividing the modifiable area based on the natural demand to divide into a natural agricultural region and a natural forestry region;
and perfecting the natural forestry area and the natural agricultural area based on the artificial demand so as to determine the area to be monitored, and dividing the area to be monitored into the agricultural area to be monitored and the forestry area to be monitored.
4. The method for monitoring and managing information of saline-alkali soil according to claim 1, wherein when the monitored data is missing, processing historical data of the monitored data based on a preset data complement algorithm to obtain filled data and complement the monitored data, specifically comprising:
when the saline-alkali data and the crop data are missing, marking the missing data as missing data; the missing data comprises data uploading time and data attributes;
retrieving historical data of monitoring data having the same data attribute as the missing data;
constructing a data change formula based on the historical data;
and processing the data uploading time of the missing data based on the data change formula to determine the numerical value of the missing data so as to complement the monitoring data.
5. The method for monitoring and controlling the saline-alkali soil information according to claim 4, wherein the construction of the data change formula based on the historical data comprises the following steps:
taking the missing data as a base point, intercepting a first number of historical data to obtain characteristic data;
constructing a two-dimensional coordinate system, wherein the data uploading time of the characteristic data is taken as an abscissa, and the numerical value of the characteristic data is taken as an ordinate;
filling the characteristic data into the two-dimensional coordinate system to obtain a data change map;
and constructing a data change formula based on the change condition of the characteristic data in the data change diagram and a preset fitting formula algorithm.
6. The method of claim 4, wherein verifying the filling data based on subsequent data of the filling data to determine accuracy of the filling data, specifically comprises:
taking the latest monitoring data of the filling data as a base point, and intercepting a second number of historical data according to a time sequence to determine verification data;
substituting the verification data value into the data change formula to verify whether the filling data is reasonable or not;
if yes, changing the filling data into trusted data;
if not, changing the filling data into abnormal data, and verifying the accuracy of the filling data through the monitoring data.
7. The method for monitoring and managing information of saline-alkali soil according to claim 1, further comprising:
constructing a saline-alkali data monitoring platform;
and uploading the initial saline-alkali data, the topographic data and the improvement demands to the data monitoring platform.
8. A saline-alkali soil information monitoring and management system, the system comprising:
the information acquisition module is used for acquiring initial saline-alkali data, topographic data and improvement requirements of the area to be processed; wherein the improvement requirement comprises a natural requirement and an artificial requirement;
the first processing module is used for processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the to-be-treated area comprises an agricultural area to be monitored and a forestry area to be monitored;
the second processing module is used for deploying the monitoring equipment to the area to be monitored and periodically acquiring the monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data;
the data complement module is used for processing the historical data of the monitoring data based on a preset data complement algorithm when the monitoring data is missing so as to acquire the filling data and complement the monitoring data;
a data verification module for verifying the padding data based on subsequent data of the padding data to determine an accuracy of the padding data;
the data adjustment module is used for adjusting crop data of the area to be monitored based on the monitoring data and the improvement requirement;
and the data display module is used for constructing a saline-alkali data monitoring platform and displaying the saline-alkali data.
9. Saline-alkali soil information monitoring and treating equipment, characterized in that the equipment comprises:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; wherein the improvement requirement comprises a natural requirement and an artificial requirement;
processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the to-be-treated area comprises an agricultural area to be monitored and a forestry area to be monitored;
deploying monitoring equipment to the area to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data;
when the monitoring data is missing, processing historical data of the monitoring data based on a preset data complement algorithm to obtain filling data and complementing the monitoring data;
validating the shim data based on subsequent data of the shim data to determine an accuracy of the shim data;
crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
10. A non-volatile computer storage medium for saline-alkali soil information monitoring and remediation, storing computer-executable instructions, wherein the computer-executable instructions are configured to:
acquiring initial saline-alkali data, topographic data and improvement requirements of a region to be treated; wherein the improvement requirement comprises a natural requirement and an artificial requirement;
processing the area to be processed based on the initial saline-alkali data, the topographic data and the improvement requirement to determine an area to be monitored; the to-be-treated area comprises an agricultural area to be monitored and a forestry area to be monitored;
deploying monitoring equipment to the area to be monitored, and periodically acquiring monitoring data of the monitoring equipment; wherein the monitoring data comprises saline-alkali data and crop data;
when the monitoring data is missing, processing historical data of the monitoring data based on a preset data complement algorithm to obtain filling data and complementing the monitoring data;
validating the shim data based on subsequent data of the shim data to determine an accuracy of the shim data;
crop data of the area to be monitored is adjusted based on the monitoring data and the improvement demand.
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