CN116868713A - Saline-alkali soil improvement method and system based on artificial intelligent perception - Google Patents

Saline-alkali soil improvement method and system based on artificial intelligent perception Download PDF

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Publication number
CN116868713A
CN116868713A CN202310601571.XA CN202310601571A CN116868713A CN 116868713 A CN116868713 A CN 116868713A CN 202310601571 A CN202310601571 A CN 202310601571A CN 116868713 A CN116868713 A CN 116868713A
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soil
alkali
saline
information
irrigation system
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陈宗军
姚一平
孙敬文
李燕平
朱文艳
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PowerChina Roadbridge Group Co Ltd
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PowerChina Roadbridge Group Co Ltd
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01BSOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B77/00Machines for lifting and treating soil
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30Prediction of properties of chemical compounds, compositions or mixtures
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70Machine learning, data mining or chemometrics
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/90Programming languages; Computing architectures; Database systems; Data warehousing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
    • Y02A40/22Improving land use; Improving water use or availability; Controlling erosion

Abstract

The application provides a saline-alkali soil improvement method and a system based on artificial intelligence perception, wherein the saline-alkali soil improvement method comprises the following steps: obtaining information of an alkali discharging layer in the saline-alkali soil to obtain structural information of the alkali discharging layer and current structural measure information; analyzing the structural information of the alkali removal layer, determining a perception monitoring point, and arranging an intelligent perception monitoring device on the perception monitoring point by combining the current structural measure information; sensing through an intelligent sensing monitoring device to obtain physical and chemical property data of soil; acquiring current state information of a spray irrigation system of the saline-alkali soil, and carrying out intelligent analysis by combining with physical and chemical property data of the soil to formulate a coupling treatment scheme; according to the coupling treatment scheme, the sprinkling irrigation system in the saline-alkali soil is adjusted, and the physical and chemical properties of the soil are adjusted and improved through the adjusted sprinkling irrigation system, so that the improvement of the saline-alkali soil is realized. The application intelligently formulates a coupling treatment scheme to realize the improvement of the saline alkali of the soil, and is applicable to the saline alkali soil in any area.

Description

Saline-alkali soil improvement method and system based on artificial intelligent perception
Technical Field
The application relates to the technical field of salinized soil improvement, in particular to a saline-alkali soil improvement method and system based on artificial intelligent perception.
Background
Soil salinization has become a global problem, and under the condition that population is increased year by year and cultivated land is reduced year by year, development and utilization of saline-alkali soil have great strategic significance. The soil salinization refers to the soil forming process that saline-alkali components accumulate in soil under the influence of nature or human factors, so that other types of soil gradually evolve towards salinized soil, the original soil and the unreasonable fertilization, the special water running mode and the unreasonable planting mode can all cause the secondary salinization of the soil, the high salinity of the salinized soil reduces the water potential of soil solution, the water potential of the solution in the soil is lower than that of plant root systems, plants cannot normally absorb water from the soil, the growth, distribution and yield of plants are affected, the loss of the plant water is possibly caused when the plants are serious, the death of the plants is caused, meanwhile, the biodiversity is also reduced, the soil is degraded, the ecological environment is seriously threatened, and huge losses are brought to the production of agriculture and animal husbandry and the like.
The saline soil is distributed in more than one hundred countries and regions of the world such as Russian, the United states, china and India, the saline soil is mainly distributed in northeast, northwest, north China and coastal areas, related research and treatment are carried out on the saline soil in all countries of the world at present, according to the research at home and abroad, improvement and utilization means of the saline soil are mainly divided into physical means, chemical means and biological means, wherein the improvement of the saline soil by the physical and chemical means has the characteristic of quick response, but has the characteristics of high investment and high maintenance cost, secondary salinization is easy to be caused, the improvement of the saline soil by the biological means can play a role of covering the soil, water and soil loss is reduced, the soil fertility is enhanced, and the possibility of salt returning is reduced, so that the biological means is an important method for improving the saline soil in the coastal areas and the inland irrigation areas of China, but is usually only suitable for partial area improvement by single technical measures, and can not necessarily achieve the same improvement effect in the other area according to the research at home and abroad, the application provides an artificial improvement method and an intelligent improvement method based on the saline soil, and an intelligent improvement method is also can be applied to the saline soil based on the intelligent soil information-sensing and the intelligent soil-based on the intelligent soil-quality-sensing and the information-changing technology, and the saline-alkali soil-based on the intelligent soil-sensing and the various-alkaline-state-change-state information-sensed and the technical-based soil-sensed-quality-information-based improvement method can be improved.
Disclosure of Invention
The application aims to provide a saline-alkali soil improvement method and system based on artificial intelligence perception, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present application provides the following technical solutions: an artificial intelligence perception-based saline-alkali soil improvement method comprises the following steps:
obtaining information of an alkali discharging layer in the saline-alkali soil to obtain structural information of the alkali discharging layer and current structural measure information;
monitoring and layout are carried out in the alkali removal layer, structural information of the alkali removal layer is analyzed, sensing monitoring points are determined, and an intelligent sensing monitoring device is arranged on the sensing monitoring points by combining current structural measure information;
sensing through an intelligent sensing monitoring device to obtain physical and chemical property data of soil;
acquiring current state information of a spray irrigation system of the saline-alkali soil, and carrying out intelligent analysis by combining with physical and chemical property data of the soil to formulate a coupling treatment scheme;
according to the coupling treatment scheme, the sprinkling irrigation system in the saline-alkali soil is adjusted, so that the adjusted sprinkling irrigation system is obtained, and the physical and chemical properties of the soil are adjusted and improved through the adjusted sprinkling irrigation system, so that the improvement of the saline-alkali soil is realized.
Further, when the intelligent sensing monitoring device is used for sensing, the intelligent sensing monitoring device is used for sensing real-time data of the alkali discharging layer to obtain physical and chemical characteristic data of soil, meanwhile, a sensing database model is built according to the physical and chemical characteristic data of the soil, and the obtained physical and chemical characteristic data are imported into the sensing database model for storage to form a sensing database.
Further, intelligent perception monitoring devices includes the sensor of multiple information type, through the soil physicochemical characteristic data of sensor perception saline and alkaline soil respectively to when arranging in arranging the alkali layer monitoring, include:
analyzing the structural information of the alkali discharging layer, and determining sensing monitoring points to be collected in the alkali discharging layer;
performing network layout aiming at the structural information of the sensing monitoring points combined with the alkali-removing layer, and respectively confirming total transmission points and acquisition points in the sensing monitoring points according to information types to form a sensing monitoring point grid;
and arranging the intelligent sensing monitoring devices according to the sensing monitoring point grids, and arranging the intelligent sensing monitoring devices on the total transmission points and the acquisition points by combining the current structural measure information when arranging the intelligent sensing monitoring devices.
Further, when the current state information of the sprinkler irrigation system of the saline-alkali soil is obtained and the intelligent analysis is performed by combining the physical and chemical characteristic data of the soil, the method comprises the following steps:
establishing an alkali-removing layer model in the saline-alkali soil based on the soil physical and chemical property data, and introducing the soil physical and chemical property into the alkali-removing layer model in the saline-alkali soil to obtain a saline-alkali soil ecological model;
introducing a sprinkling irrigation system into the saline-alkali soil ecological model by referring to the current sprinkling irrigation system state information, and performing ecological simulation to obtain initial simulation information;
the method comprises the steps of adjusting and improving a sprinkling irrigation system in different modes, and obtaining simulation information based on the adjusted and improved sprinkling irrigation system;
and performing intelligent analysis according to the simulation information, determining an adjustment and improved simulation effect, and synthesizing adjustment and improvement of the sprinkler irrigation system according to the adjustment and improved simulation effect to obtain a coupling treatment scheme.
Further, when the sprinkling irrigation system in the saline-alkali soil is adjusted according to the coupling treatment scheme, the adjusting and improving device is determined according to the coupling treatment scheme, the adjusting and improving device is connected to the current sprinkling irrigation system to obtain the adjusting and improving sprinkling irrigation system, then the adjusting and controlling soil gas environment is adjusted and controlled by the adjusting and improving sprinkling irrigation system for the plant roots while irrigation, plant roots and soil microorganism respiration are improved, adjustment of physical and chemical properties of the soil is achieved, and improvement of the saline-alkali soil is achieved.
A saline-alkali soil improvement system based on artificial intelligence perception, comprising: the system comprises an information acquisition module, an acquisition preparation module, a perception acquisition module, an intelligent analysis module and an adjustment improvement module;
the information acquisition module is used for acquiring information of an alkali removal layer in the saline-alkali soil to obtain structural information of the alkali removal layer and current structural measure information;
the acquisition preparation module is used for monitoring and laying in the alkali removal layer, analyzing the structural information of the alkali removal layer, determining a perception monitoring point, and arranging the intelligent perception monitoring device on the perception monitoring point by combining the current structural measure information;
the sensing acquisition module is used for sensing through the intelligent sensing monitoring device to obtain physical and chemical characteristic data of the soil;
the intelligent analysis module is used for acquiring the current state information of the sprinkler irrigation system of the saline-alkali soil, carrying out intelligent analysis by combining with the physical and chemical characteristic data of the soil, and formulating a coupling treatment scheme;
the adjusting and improving module is used for adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme to obtain an adjusted sprinkling irrigation system, and adjusting and improving the physical and chemical properties of the soil through the adjusted sprinkling irrigation system to improve the saline-alkali soil.
Further, the saline-alkali soil improvement system further comprises a perception database module, the perception database module is connected with the perception acquisition module, when the perception acquisition module carries out perception through the intelligent perception monitoring device, the intelligent perception monitoring device is utilized to carry out real-time data perception on the alkali discharging layer to obtain soil physicochemical property data, then the perception database module builds a perception database model according to the soil physicochemical property data, and the obtained physicochemical property data is imported into the perception database model for storage to form a perception database.
Further, the intelligent sensing and monitoring device comprises sensors with various information types, and soil physical and chemical property data of the saline-alkali soil are sensed through the sensors respectively;
the acquisition preparation module comprises: a first analysis unit, a second analysis unit, and a device arrangement unit; the first analysis unit is used for analyzing the structural information of the alkali discharging layer and determining sensing monitoring points to be collected in the alkali discharging layer; the second analysis unit performs network layout aiming at the sensing monitoring points determined by the first analysis unit and combined with the structural information of the alkali discharging layer, and performs total transmission point and acquisition point confirmation in the sensing monitoring points according to the information type to form a sensing monitoring point grid; the equipment arrangement unit is used for carrying out intelligent perception monitoring device arrangement according to the perception monitoring point grids formed by the second analysis unit, and arranging the intelligent perception monitoring device on a total transmission point and an acquisition point by combining current structural measure information when carrying out intelligent perception monitoring device arrangement.
Further, the intelligent analysis module includes: the system comprises a model building unit, a first simulation unit, a second simulation unit and an intelligent analysis unit;
the model building unit is used for building an alkali-removal layer model in the saline-alkali soil based on the soil physical and chemical property data, and importing the soil physical and chemical property into the alkali-removal layer model in the saline-alkali soil to obtain a saline-alkali soil ecological model;
the first simulation unit is used for introducing a spray irrigation system into the saline-alkali soil ecological model according to the current spray irrigation system state information and performing ecological simulation to obtain initial simulation information;
the second simulation unit is used for adjusting and improving the sprinkling irrigation system in different modes and obtaining simulation information based on the adjusted and improved sprinkling irrigation system;
the intelligent analysis unit is used for carrying out intelligent analysis according to the simulation information, determining an adjustment and improved simulation effect, and carrying out integration on adjustment and improvement of the spray irrigation system according to the adjustment and improved simulation effect to obtain a coupling treatment scheme.
Further, the adjustment improvement module includes: an adjustment and improvement unit and a soil improvement unit;
the adjusting and improving unit is used for determining an adjusting and improving device according to the coupling treatment scheme when adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme, and connecting the adjusting and improving device to the current sprinkling irrigation system to obtain an adjusting and improving sprinkling irrigation system;
the soil improvement unit is used for adjusting and controlling the soil gas environment when the plant roots are irrigated by utilizing the adjusting and improving sprinkling irrigation system, improving the respiration of the plant roots and soil microorganisms, realizing the adjustment of the physicochemical properties of the soil and realizing the improvement of the saline-alkali soil.
The application realizes the improvement of the saline-alkali soil, thereby leading plants generated on the saline-alkali soil to grow better. Through monitoring setting up in arranging the alkaline layer, can utilize the intelligent perception monitoring devices who arranges on the perception monitoring point to acquire the soil physicochemical property of saline and alkaline soil comprehensively, can effectively improve to saline and alkaline soil, have not limited in addition, arrange alkaline layer information acquisition to arbitrary saline and alkaline soil, and then realize saline and alkaline soil improvement, enlarged saline and alkaline soil improvement's application range, need not to go to the study respectively in each saline and alkaline soil region. The intelligent analysis is performed by combining the current state information of the sprinkling irrigation system with the physical and chemical characteristic data of the soil, so that the intelligent big data analysis is realized, the treatment problem of the current state is clear, the coupling treatment scheme can be formulated directly according to the actual situation, and various technical measures are combined for use, so that the improvement effect of the saline-alkali soil is improved.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the application is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application. In the drawings:
FIG. 1 is a schematic diagram of steps of a saline-alkali soil improvement method based on artificial intelligence perception according to the present application;
FIG. 2 is a schematic diagram of a second step in the method for improving saline-alkali soil based on artificial intelligence perception according to the present application;
FIG. 3 is a schematic diagram of a third step in the method for improving saline-alkali soil based on artificial intelligence perception according to the present application;
FIG. 4 is a schematic diagram of an artificial intelligence perception-based saline-alkali soil improvement system according to the present application;
FIG. 5 is a schematic diagram of an acquisition preparation module in an artificial intelligence perception based saline-alkali soil improvement system according to the present application;
fig. 6 is a schematic diagram of an adjustment and improvement module in a saline-alkali soil improvement system based on artificial intelligence perception according to the present application.
Detailed Description
The preferred embodiments of the present application will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present application only, and are not intended to limit the present application.
Example 1:
as shown in fig. 1, the embodiment provides a saline-alkali soil improvement method based on artificial intelligence perception, which comprises the following steps:
step one, acquiring information of an alkali discharging layer in saline-alkali soil to obtain structural information of the alkali discharging layer and current structural measure information;
step two, monitoring and layout are carried out in the alkali removal layer, structural information of the alkali removal layer is analyzed, sensing monitoring points are determined, and an intelligent sensing monitoring device is arranged on the sensing monitoring points by combining current structural measure information;
sensing through an intelligent sensing monitoring device to obtain physical and chemical property data of the soil;
step four, acquiring current state information of a spray irrigation system of the saline-alkali soil, and carrying out intelligent analysis by combining with physical and chemical characteristic data of the soil to formulate a coupling treatment scheme;
and fifthly, adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme to obtain an adjusted sprinkling irrigation system, and adjusting and improving the physical and chemical properties of the soil through the adjusted sprinkling irrigation system to improve the saline-alkali soil.
According to the technical scheme, the saline-alkali soil improvement method based on artificial intelligent perception is improved, the analysis and improvement are carried out on the saline-alkali soil by adopting the artificial intelligent perception, when the saline-alkali soil improvement is carried out, the information of an alkali removal layer in the saline-alkali soil is firstly obtained, and the method comprises the following steps: the method comprises the steps of analyzing structural information of an alkali removal layer and current structural measure information, analyzing the structural information of the alkali removal layer, clearly determining sensing monitoring points which need to be set for monitoring the alkali removal layer, removing the sensing monitoring points which are arranged in the sensing monitoring points by combining the current structural measure information, arranging intelligent sensing monitoring devices on the rest sensing monitoring points, realizing monitoring arrangement in the alkali removal layer, sensing saline-alkali soil through the intelligent sensing monitoring devices arranged on the sensing monitoring points, acquiring sensing data information, and obtaining soil physicochemical characteristic data, wherein the soil physicochemical characteristic data comprise: information such as PH value, water content, air content, porosity, organic matter components, inorganic matter components, harmful erosive ions and the like, then carrying out information acquisition on a sprinkling irrigation system in saline-alkali soil to obtain current sprinkling irrigation system state information, carrying out intelligent analysis on the current sprinkling irrigation system state information by combining with soil physicochemical property data, determining that a treatment problem exists in the current state, formulating a coupling treatment scheme, finally adjusting the sprinkling irrigation system in the saline-alkali soil according to the appointed coupling scheme to obtain an adjusted sprinkling irrigation system, and adjusting and improving the physicochemical property of the soil through the adjusted sprinkling irrigation system to realize improvement on the saline-alkali soil.
The technical scheme realizes the improvement of the saline-alkali soil, so that plants generated on the saline-alkali soil can grow better. Through monitoring setting up in arranging alkaline layer so that can utilize the intelligent perception monitoring devices who arranges on the perception monitoring point to acquire the soil physical and chemical properties of saline-alkali soil comprehensively to can effectively improve to saline-alkali soil, do not have the restriction to saline-alkali soil moreover, arrange alkaline layer information acquisition to arbitrary saline-alkali soil, and then realize saline-alkali soil improvement, enlarged saline-alkali soil improvement's application range, need not to go to study respectively in each saline-alkali soil region, in addition, through carrying out intelligent analysis with current sprinkling irrigation system state information combination soil physical and chemical properties data not only make realize intelligent big data analysis, make clear that current state exists the treatment problem, can also directly formulate the coupling treatment scheme according to actual conditions, use multiple technological measure to combine together, thereby the saline-alkali soil improvement effect of improvement.
Example 2:
on the basis of embodiment 1, when the intelligent sensing monitoring device senses, the intelligent sensing monitoring device senses real-time data aiming at the alkali discharging layer to obtain soil physical and chemical property data, meanwhile, a sensing database model is built aiming at the soil physical and chemical property data, and the obtained physical and chemical property data is imported into the sensing database model for storage to form a sensing database.
According to the technical scheme, when the intelligent sensing monitoring device senses, the intelligent sensing monitoring device is utilized to sense the real-time data of the alkali removal layer, so that the intelligent sensing monitoring device can acquire and output data acquisition signals according to sensing data, and therefore soil physicochemical property data are obtained, a sensing database model is built according to the soil physicochemical property data when the soil physicochemical property data are obtained, and the obtained physicochemical property data are imported into the sensing database model for storage, so that a sensing database is formed.
According to the technical scheme, the intelligent perception monitoring device perceives the soil physical and chemical properties of the alkaline removal layer, so that the intelligent perception monitoring device perceives data in the alkaline removal layer can be obtained rapidly in real time, and the perceives can be carried out continuously, so that the soil physical and chemical properties data are richer, further, the change of the physical and chemical properties of the alkaline removal layer soil can be reflected, the full-scale perception of the saline-alkali soil is realized, and moreover, the soil physical and chemical properties data of the alkaline removal layer soil can be integrated in the perception database by constructing a perception database model when the soil physical and chemical properties data are obtained, so that the soil spatial distribution characteristics of the saline-alkali soil are reflected.
Example 3:
as shown in fig. 2, on the basis of embodiment 1, the intelligent sensing and monitoring device includes sensors of various information types, and senses the physical and chemical property data of the saline-alkali soil through the sensors, and when monitoring and laying in the alkali-removing layer, the intelligent sensing and monitoring device includes:
a1, analyzing structural information of an alkali discharging layer, and determining sensing monitoring points to be acquired in the alkali discharging layer;
a2, carrying out network layout aiming at the structural information of the perceived monitoring point combined alkali-discharging layer, and respectively confirming a total transmission point and a collection point in the perceived monitoring point according to the information type to form a perceived monitoring point grid;
a3, arranging the intelligent sensing monitoring devices according to the sensing monitoring point grids, and arranging the intelligent sensing monitoring devices on the total transmission points and the acquisition points by combining the current structural measure information when arranging the intelligent sensing monitoring devices.
The intelligent sensing and monitoring device in the above technical solution includes sensors of various information types, for example: PH sensor, water content sensor, gas content sensor, porosity sensor, organic matter component, inorganic matter component and harmful erosive ion sensor etc., through sensor perception soil's PH value, water content, gas content, porosity, organic matter component, inorganic matter component and harmful erosive ion respectively.
When monitoring and layout are carried out in an alkali removal layer, firstly analyzing structural information of the alkali removal layer, determining sensing monitoring points to be collected in the alkali removal layer, then carrying out network layout according to the sensing monitoring points and the structural information of the alkali removal layer, respectively carrying out total transmission point and collection point confirmation in the sensing monitoring points according to information types, respectively determining a total transmission point and a plurality of collection points according to the PH value, the water content, the air content, the porosity, the organic matter component, the inorganic matter component and harmful erosive ions of soil, and respectively forming a sensing monitoring point grid, wherein the total transmission point is a summarizing node in the sensing monitoring point grid, combining the soil physical and chemical characteristic data acquired by the collection points together for transmission, and the collection points are nodes for arranging an intelligent sensing monitoring device and collecting the soil physical and chemical characteristic data by using the intelligent sensing monitoring device; and then, arranging intelligent sensing monitoring devices according to the sensing monitoring point grids to form a device arrangement strategy, determining the existing intelligent sensing monitoring devices in the sensing monitoring points according to the current structural measure information, filtering corresponding information in the device arrangement strategy to obtain a device arrangement executing strategy, and then arranging the intelligent sensing monitoring devices aiming at the sensing monitoring points in the sensing monitoring point grids according to the device arrangement executing strategy.
When the total transmission points and the collection points are respectively confirmed according to the information types in the sensing monitoring points, analyzing the soil physical and chemical property data aiming at the sensing monitoring points, determining the information types of the soil physical and chemical property data collected by the sensing monitoring points, dividing the sensing monitoring points of the same information type together according to the determined information types of the soil physical and chemical property data collected by the sensing monitoring points to obtain sensing monitoring point division results, establishing a virtual topological structure aiming at the sensing monitoring points in each information type set according to the sensing monitoring point division results, and carrying out clustering center voting and clustering center optimization in the virtual topological structure to obtain an optimized clustering center, wherein the sensing monitoring points corresponding to the optimized clustering center are used as the total transmission points, and the rest sensing monitoring points in the information type set are used as the collection points in the sensing monitoring point grid.
Above-mentioned technical scheme makes through the sensor of intelligent perception monitoring devices including multiple information type can obtain the comprehensive soil physicochemical property data of arranging the alkaline layer in the saline and alkaline soil through intelligent perception monitoring devices perception for can more comprehensive embody the characteristics of saline and alkaline soil, when arranging in arranging the alkaline layer in monitoring, carry out network layout through the structural information that arranges the alkaline layer to the perception monitoring point combination, make the perception monitoring point orderly transmit the perception data, and combine current structural measure information to arrange intelligent perception monitoring devices to total transmission point and acquisition point when arranging intelligent perception monitoring devices, consider current situation information, avoid carrying out the repeated arrangement to the intelligent perception monitoring devices that already exists in the perception monitoring point, not only can improve the efficiency that intelligent perception monitoring devices arranged, can also avoid arranging the same intelligent perception monitoring devices on the perception monitoring point, thereby reduce cost consumption.
Example 4:
as shown in fig. 3, on the basis of embodiment 1, when the current state information of the sprinkler irrigation system of the saline-alkali soil is obtained and intelligent analysis is performed in combination with the physical and chemical property data of the soil, the method comprises the following steps:
b1, establishing an alkali-removal layer model in the saline-alkali soil based on the soil physical and chemical property data, and introducing the soil physical and chemical property into the alkali-removal layer model in the saline-alkali soil to obtain an ecological model of the saline-alkali soil;
b2, introducing a spray irrigation system into the saline-alkali soil ecological model by referring to the current spray irrigation system state information, and performing ecological simulation to obtain initial simulation information;
b3, adjusting and improving the sprinkling irrigation system in different modes, and obtaining simulation information based on the adjusted and improved sprinkling irrigation system;
and B4, performing intelligent analysis according to the simulation information, determining an adjustment and improvement simulation effect, and performing integration on adjustment and improvement of the sprinkler irrigation system according to the adjustment and improvement simulation effect to obtain a coupling treatment scheme.
When the current state information of the sprinkler irrigation system of the saline-alkali soil is obtained and intelligent analysis is carried out by combining with the soil physical and chemical property data, firstly, establishing an alkali-removal layer model in the saline-alkali soil based on the soil physical and chemical property data, determining the soil physical and chemical property according to the soil physical and chemical property data, establishing the alkali-removal layer model in the saline-alkali soil by referring to the soil physical and chemical property, and leading the soil physical and chemical property into the alkali-removal layer model in the saline-alkali soil to obtain the saline-alkali soil ecological model; then introducing a sprinkling irrigation system into the saline-alkali soil ecological model by referring to the current sprinkling irrigation system state information, and performing ecological simulation to obtain initial simulation information; and then, adjusting and improving the sprinkling irrigation system in different modes, obtaining simulation information based on the adjusting and improving the sprinkling irrigation system, obtaining a plurality of simulation information in different adjusting and improving modes, then, performing intelligent analysis according to the simulation information, determining a simulation effect corresponding to each adjusting and improving mode, and synthesizing the adjusting and improving the sprinkling irrigation system according to the simulation effect of the adjusting and improving to obtain the coupling treatment scheme.
According to the technical scheme, the saline-alkali soil ecological model is built to re-etch the saline-alkali soil for information acquisition, so that simulation can be carried out according to actual conditions, analysis is convenient, improvement efficiency can be ensured, adjustment and improvement are integrated according to the adjustment and improvement simulation effect on the sprinkling irrigation system when intelligent analysis is carried out according to simulation information, different adjustment and improvement modes can be combined together according to the adjustment and improvement simulation effect, multiple adjustment and improvement measures are coupled, multiple technical measures are combined for use, and accordingly the improvement effect of the saline-alkali soil is improved.
Example 5:
on the basis of the embodiment 1, when the sprinkling irrigation system in the saline-alkali soil is adjusted according to the coupling treatment scheme, an adjusting and improving device is determined according to the coupling treatment scheme, the adjusting and improving device is connected to the current sprinkling irrigation system to obtain the adjusting and improving sprinkling irrigation system, then the adjusting and improving sprinkling irrigation system is utilized for adjusting and controlling the soil gas environment for the plant roots while irrigating, the plant roots and soil microorganism respiration are improved, the adjustment of the physical and chemical properties of the soil is realized, and the improvement of the saline-alkali soil is realized.
When the technical scheme is used for adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme, the adjusting and improving device is determined according to the coupling treatment scheme, the adjusting and improving device is connected to the current sprinkling irrigation system to obtain the adjusting and improving sprinkling irrigation system, for example, an air adding device is connected to the current sprinkling irrigation system, and then the adjusting and improving sprinkling irrigation system is used for conveying the air-added water to the root zone of crops for irrigation; meanwhile, the gas environment of the soil is regulated and controlled, so that plant root systems and soil microorganism respiration are improved, the physicochemical properties of the soil are indirectly influenced, and the improvement of the saline-alkali soil is formed.
According to the technical scheme, the device for adjusting and improving is determined according to the coupling treatment scheme, so that the device can be directly adjusted and improved on the basis of the existing sprinkling irrigation system, and further the improvement of the saline-alkali soil can be realized with less cost.
Example 6:
as shown in fig. 4, the present application provides a saline-alkali soil improvement system based on artificial intelligence perception, comprising: the system comprises an information acquisition module, an acquisition preparation module, a perception acquisition module, an intelligent analysis module and an adjustment improvement module;
the information acquisition module is used for acquiring information of an alkali removal layer in the saline-alkali soil to obtain structural information of the alkali removal layer and current structural measure information;
the acquisition preparation module is used for monitoring and laying in the alkali removal layer, analyzing the structural information of the alkali removal layer, determining a perception monitoring point, and arranging the intelligent perception monitoring device on the perception monitoring point by combining the current structural measure information;
the sensing acquisition module is used for sensing through the intelligent sensing monitoring device to obtain physical and chemical characteristic data of the soil;
the intelligent analysis module is used for acquiring the current state information of the sprinkler irrigation system of the saline-alkali soil, carrying out intelligent analysis by combining with the physical and chemical characteristic data of the soil, and formulating a coupling treatment scheme;
the adjusting and improving module is used for adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme to obtain an adjusted sprinkling irrigation system, and adjusting and improving the physical and chemical properties of the soil through the adjusted sprinkling irrigation system to improve the saline-alkali soil.
Example 7:
on the basis of embodiment 6, the saline-alkali soil improvement system further comprises a perception database module, the perception database module is connected with the perception acquisition module, when the perception acquisition module carries out perception through the intelligent perception monitoring device, the intelligent perception monitoring device is utilized to carry out real-time data perception on the alkali discharging layer to obtain soil physicochemical property data, then the perception database module builds a perception database model according to the soil physicochemical property data, and the obtained physicochemical property data is imported into the perception database model for storage to form a perception database.
Example 8:
on the basis of embodiment 6, the intelligent sensing and monitoring device comprises sensors of various information types, and soil physical and chemical property data of the saline-alkali soil are sensed through the sensors respectively;
the acquisition preparation module comprises: a first analysis unit, a second analysis unit, and a device arrangement unit; the first analysis unit is used for analyzing the structural information of the alkali discharging layer and determining sensing monitoring points to be collected in the alkali discharging layer; the second analysis unit performs network layout aiming at the sensing monitoring points determined by the first analysis unit and combined with the structural information of the alkali discharging layer, and performs total transmission point and acquisition point confirmation in the sensing monitoring points according to the information type to form a sensing monitoring point grid; the equipment arrangement unit is used for carrying out intelligent perception monitoring device arrangement according to the perception monitoring point grids formed by the second analysis unit, and arranging the intelligent perception monitoring device on a total transmission point and an acquisition point by combining current structural measure information when carrying out intelligent perception monitoring device arrangement.
Example 9:
as shown in fig. 5, on the basis of embodiment 6, the intelligent analysis module includes: the system comprises a model building unit, a first simulation unit, a second simulation unit and an intelligent analysis unit;
the model building unit is used for building an alkali-removal layer model in the saline-alkali soil based on the soil physical and chemical property data, and importing the soil physical and chemical property into the alkali-removal layer model in the saline-alkali soil to obtain a saline-alkali soil ecological model;
the first simulation unit is used for introducing a spray irrigation system into the saline-alkali soil ecological model according to the current spray irrigation system state information and performing ecological simulation to obtain initial simulation information;
the second simulation unit is used for adjusting and improving the sprinkling irrigation system in different modes and obtaining simulation information based on the adjusted and improved sprinkling irrigation system;
the intelligent analysis unit is used for carrying out intelligent analysis according to the simulation information, determining an adjustment and improved simulation effect, and carrying out integration on adjustment and improvement of the spray irrigation system according to the adjustment and improved simulation effect to obtain a coupling treatment scheme.
Example 10:
as shown in fig. 6, in an embodiment provided by the present application on the basis of embodiment 6, the adjustment improvement module includes: an adjustment and improvement unit and a soil improvement unit;
the adjusting and improving unit is used for determining an adjusting and improving device according to the coupling treatment scheme when adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme, and connecting the adjusting and improving device to the current sprinkling irrigation system to obtain an adjusting and improving sprinkling irrigation system;
the soil improvement unit is used for adjusting and controlling the soil gas environment when the plant roots are irrigated by utilizing the adjusting and improving sprinkling irrigation system, improving the respiration of the plant roots and soil microorganisms, realizing the adjustment of the physicochemical properties of the soil and realizing the improvement of the saline-alkali soil.
The saline-alkali soil improvement system based on artificial intelligence perception is described in embodiments 6-10, and is corresponding to the saline-alkali soil improvement method based on artificial intelligence perception described in embodiments 1-5, and the working principle and the beneficial effects of the saline-alkali soil improvement system in embodiments 6-10 are described in the corresponding method embodiments and are not repeated here.
It will be appreciated by those skilled in the art that the first and second aspects of the present application refer only to different phases of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. The saline-alkali soil improvement method based on artificial intelligence perception is characterized by comprising the following steps of:
obtaining information of an alkali discharging layer in the saline-alkali soil to obtain structural information of the alkali discharging layer and current structural measure information;
monitoring and layout are carried out in the alkali removal layer, structural information of the alkali removal layer is analyzed, sensing monitoring points are determined, and an intelligent sensing monitoring device is arranged on the sensing monitoring points by combining current structural measure information;
sensing through an intelligent sensing monitoring device to obtain physical and chemical property data of soil;
acquiring current state information of a spray irrigation system of the saline-alkali soil, and carrying out intelligent analysis by combining with physical and chemical property data of the soil to formulate a coupling treatment scheme;
according to the coupling treatment scheme, the sprinkling irrigation system in the saline-alkali soil is adjusted, so that the adjusted sprinkling irrigation system is obtained, and the physical and chemical properties of the soil are adjusted and improved through the adjusted sprinkling irrigation system, so that the improvement of the saline-alkali soil is realized.
2. The method for improving saline-alkali soil according to claim 1, wherein when the intelligent sensing monitoring device senses, the intelligent sensing monitoring device senses real-time data aiming at the alkali discharging layer to obtain physical and chemical property data of the soil, meanwhile, a sensing database model is built aiming at the physical and chemical property data of the soil, and the obtained physical and chemical property data are imported into the sensing database model for storage to form a sensing database.
3. The method for improving the saline-alkali soil according to claim 1, wherein the intelligent sensing and monitoring device comprises a plurality of information type sensors, the sensors sense the physical and chemical property data of the saline-alkali soil respectively, and the intelligent sensing and monitoring device comprises the following steps when monitoring and laying in a alkali removal layer:
analyzing the structural information of the alkali discharging layer, and determining sensing monitoring points to be collected in the alkali discharging layer;
performing network layout aiming at the structural information of the sensing monitoring points combined with the alkali-removing layer, and respectively confirming total transmission points and acquisition points in the sensing monitoring points according to information types to form a sensing monitoring point grid;
and arranging the intelligent sensing monitoring devices according to the sensing monitoring point grids, and arranging the intelligent sensing monitoring devices on the total transmission points and the acquisition points by combining the current structural measure information when arranging the intelligent sensing monitoring devices.
4. The method for improving the saline-alkali soil according to claim 1, wherein when the current state information of the sprinkling irrigation system of the saline-alkali soil is obtained and the intelligent analysis is performed by combining the physical and chemical property data of the soil, the method comprises the following steps:
establishing an alkali-removing layer model in the saline-alkali soil based on the soil physical and chemical property data, and introducing the soil physical and chemical property into the alkali-removing layer model in the saline-alkali soil to obtain a saline-alkali soil ecological model;
introducing a sprinkling irrigation system into the saline-alkali soil ecological model by referring to the current sprinkling irrigation system state information, and performing ecological simulation to obtain initial simulation information;
the method comprises the steps of adjusting and improving a sprinkling irrigation system in different modes, and obtaining simulation information based on the adjusted and improved sprinkling irrigation system;
and performing intelligent analysis according to the simulation information, determining an adjustment and improved simulation effect, and synthesizing adjustment and improvement of the sprinkler irrigation system according to the adjustment and improved simulation effect to obtain a coupling treatment scheme.
5. The method for improving the saline-alkali soil according to claim 1, wherein when the sprinkling irrigation system in the saline-alkali soil is adjusted according to the coupling treatment scheme, an adjusting and improving device is determined according to the coupling treatment scheme, the adjusting and improving device is connected to the current sprinkling irrigation system to obtain the adjusting and improving sprinkling irrigation system, and then the adjusting and improving sprinkling irrigation system is used for adjusting and controlling the soil gas environment for the plant roots while irrigating, so that the respiration of the plant roots and soil microorganisms is improved, the adjustment of the physical and chemical properties of the soil is realized, and the improvement of the saline-alkali soil is realized.
6. Saline-alkali soil improvement system based on artificial intelligence perception, characterized by, saline-alkali soil improvement system includes: the system comprises an information acquisition module, an acquisition preparation module, a perception acquisition module, an intelligent analysis module and an adjustment improvement module;
the information acquisition module is used for acquiring information of an alkali removal layer in the saline-alkali soil to obtain structural information of the alkali removal layer and current structural measure information;
the acquisition preparation module is used for monitoring and laying in the alkali removal layer, analyzing the structural information of the alkali removal layer, determining a perception monitoring point, and arranging the intelligent perception monitoring device on the perception monitoring point by combining the current structural measure information;
the sensing acquisition module is used for sensing through the intelligent sensing monitoring device to obtain physical and chemical characteristic data of the soil;
the intelligent analysis module is used for acquiring the current state information of the sprinkler irrigation system of the saline-alkali soil, carrying out intelligent analysis by combining with the physical and chemical characteristic data of the soil, and formulating a coupling treatment scheme;
the adjusting and improving module is used for adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme to obtain an adjusted sprinkling irrigation system, and adjusting and improving the physical and chemical properties of the soil through the adjusted sprinkling irrigation system to improve the saline-alkali soil.
7. The system for improving saline-alkali soil according to claim 6, further comprising a perception database module, wherein the perception database module is connected with the perception acquisition module, when the perception acquisition module carries out perception through the intelligent perception monitoring device, the intelligent perception monitoring device is utilized to carry out real-time data perception on the alkali removal layer to obtain soil physicochemical property data, then the perception database module builds a perception database model according to the soil physicochemical property data, and the obtained physicochemical property data is imported into the perception database model for storage to form a perception database.
8. The system for improving the saline-alkali soil according to claim 6, wherein the intelligent sensing and monitoring device comprises a plurality of information type sensors, and the sensors sense the physical and chemical property data of the saline-alkali soil respectively;
the acquisition preparation module comprises: a first analysis unit, a second analysis unit, and a device arrangement unit; the first analysis unit is used for analyzing the structural information of the alkali discharging layer and determining sensing monitoring points to be collected in the alkali discharging layer; the second analysis unit performs network layout aiming at the sensing monitoring points determined by the first analysis unit and combined with the structural information of the alkali discharging layer, and performs total transmission point and acquisition point confirmation in the sensing monitoring points according to the information type to form a sensing monitoring point grid; the equipment arrangement unit is used for carrying out intelligent perception monitoring device arrangement according to the perception monitoring point grids formed by the second analysis unit, and arranging the intelligent perception monitoring device on a total transmission point and an acquisition point by combining current structural measure information when carrying out intelligent perception monitoring device arrangement.
9. The saline-alkali soil improvement system as defined in claim 6 wherein said intelligent analysis module comprises: the system comprises a model building unit, a first simulation unit, a second simulation unit and an intelligent analysis unit;
the model building unit is used for building an alkali-removal layer model in the saline-alkali soil based on the soil physical and chemical property data, and importing the soil physical and chemical property into the alkali-removal layer model in the saline-alkali soil to obtain a saline-alkali soil ecological model;
the first simulation unit is used for introducing a spray irrigation system into the saline-alkali soil ecological model according to the current spray irrigation system state information and performing ecological simulation to obtain initial simulation information;
the second simulation unit is used for adjusting and improving the sprinkling irrigation system in different modes and obtaining simulation information based on the adjusted and improved sprinkling irrigation system;
the intelligent analysis unit is used for carrying out intelligent analysis according to the simulation information, determining an adjustment and improved simulation effect, and carrying out integration on adjustment and improvement of the spray irrigation system according to the adjustment and improved simulation effect to obtain a coupling treatment scheme.
10. The saline-alkali soil improvement system as defined in claim 6 wherein said conditioning improvement module comprises: an adjustment and improvement unit and a soil improvement unit;
the adjusting and improving unit is used for determining an adjusting and improving device according to the coupling treatment scheme when adjusting the sprinkling irrigation system in the saline-alkali soil according to the coupling treatment scheme, and connecting the adjusting and improving device to the current sprinkling irrigation system to obtain an adjusting and improving sprinkling irrigation system;
the soil improvement unit is used for adjusting and controlling the soil gas environment when the plant roots are irrigated by utilizing the adjusting and improving sprinkling irrigation system, improving the respiration of the plant roots and soil microorganisms, realizing the adjustment of the physicochemical properties of the soil and realizing the improvement of the saline-alkali soil.
CN202310601571.XA 2023-05-25 2023-05-25 Saline-alkali soil improvement method and system based on artificial intelligent perception Pending CN116868713A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101024226A (en) * 2007-04-16 2007-08-29 张耀文 Alkali-removing modifying method far alkaline land
CN105230167A (en) * 2015-10-12 2016-01-13 潍坊友容实业有限公司 System for improving coastal severe saline-alkali soil and constructing vegetation
US10835938B1 (en) * 2019-09-17 2020-11-17 James Cheng-Shyong Lu System and method for rapid reclamation of saline-sodic and heavy metal contaminated soils
CN114493011A (en) * 2022-01-27 2022-05-13 武汉大学 Construction method of operation model considering cooperation of under-film drip irrigation and concealed pipe salt discharge regulation
CN114902936A (en) * 2022-04-25 2022-08-16 中电建路桥集团有限公司 Intelligent alkali removal layer structure and system based on sensor sensing technology
CN114965941A (en) * 2022-04-15 2022-08-30 中电建路桥集团有限公司 Saline-alkali soil physical and chemical characteristic multi-scale intelligent sensing method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101024226A (en) * 2007-04-16 2007-08-29 张耀文 Alkali-removing modifying method far alkaline land
CN105230167A (en) * 2015-10-12 2016-01-13 潍坊友容实业有限公司 System for improving coastal severe saline-alkali soil and constructing vegetation
US10835938B1 (en) * 2019-09-17 2020-11-17 James Cheng-Shyong Lu System and method for rapid reclamation of saline-sodic and heavy metal contaminated soils
CN114493011A (en) * 2022-01-27 2022-05-13 武汉大学 Construction method of operation model considering cooperation of under-film drip irrigation and concealed pipe salt discharge regulation
CN114965941A (en) * 2022-04-15 2022-08-30 中电建路桥集团有限公司 Saline-alkali soil physical and chemical characteristic multi-scale intelligent sensing method and system
CN114902936A (en) * 2022-04-25 2022-08-16 中电建路桥集团有限公司 Intelligent alkali removal layer structure and system based on sensor sensing technology

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