CN105548522A - Intelligent system for soil detection - Google Patents
Intelligent system for soil detection Download PDFInfo
- Publication number
- CN105548522A CN105548522A CN201510929657.0A CN201510929657A CN105548522A CN 105548522 A CN105548522 A CN 105548522A CN 201510929657 A CN201510929657 A CN 201510929657A CN 105548522 A CN105548522 A CN 105548522A
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- soil
- module
- detection
- analysis module
- depth
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- 239000002689 soil Substances 0.000 title claims abstract description 138
- 238000001514 detection method Methods 0.000 title claims abstract description 53
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims abstract description 8
- 238000004856 soil analysis Methods 0.000 claims description 23
- 235000015097 nutrients Nutrition 0.000 claims description 22
- 238000001179 sorption measurement Methods 0.000 claims description 16
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 12
- 235000013619 trace mineral Nutrition 0.000 claims description 9
- 239000011573 trace mineral Substances 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 8
- 230000010354 integration Effects 0.000 claims description 7
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 6
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 6
- 239000001257 hydrogen Substances 0.000 claims description 6
- 229910052739 hydrogen Inorganic materials 0.000 claims description 6
- 239000012535 impurity Substances 0.000 claims description 6
- 229910052757 nitrogen Inorganic materials 0.000 claims description 6
- 229910052698 phosphorus Inorganic materials 0.000 claims description 6
- 239000011574 phosphorus Substances 0.000 claims description 6
- 239000011591 potassium Substances 0.000 claims description 6
- 229910052700 potassium Inorganic materials 0.000 claims description 6
- 239000011780 sodium chloride Substances 0.000 claims description 6
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 5
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 claims description 5
- 239000002245 particle Substances 0.000 claims description 5
- 230000002776 aggregation Effects 0.000 claims description 3
- 238000004220 aggregation Methods 0.000 claims description 3
- 239000003153 chemical reaction reagent Substances 0.000 claims description 3
- 239000007789 gas Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 239000011785 micronutrient Substances 0.000 claims description 2
- 235000013369 micronutrients Nutrition 0.000 claims description 2
- 230000004720 fertilization Effects 0.000 abstract description 3
- 238000012351 Integrated analysis Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 3
- 235000021049 nutrient content Nutrition 0.000 description 3
- 239000003337 fertilizer Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000002431 hydrogen Chemical class 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
-
- G01N33/245—
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
- G01N33/246—Earth materials for water content
Abstract
The invention relates to an intelligent system for soil detection. The system comprises a soil sample acquisition module, a soil preliminary treatment module, a soil preliminary analysis module, a soil deep analysis module, a soil integrated data processing module and a soil evaluation module; the soil integrated data processing module integrates the soil preliminary analysis module and the soil deep analysis module for detecting data, and combines a soil geographical environment information module for integrated analysis; the soil integrated data processing module and the soil evaluation module are used for data integrated processing and evaluation result display by an high-intelligent computer. The detection process is finished by an integrated intelligent operation, the detection data is comprehensive and accurate, and constructive opinions and soil data references are provided for agricultural fertilization and scientific research of soil.
Description
Technical field
The present invention relates to agricultural soil analysis field, be specifically related to a kind of Soil K+adsorption intelligent system.
Background technology
Essential element in soil and middle and trace element are the various nutrients needed for plant growth, rich, the scarce Quality and yield that directly govern crop of nutrient.And along with the adjustment of China's crop mix, high-yield crop kind continues to bring out, and Fertilization Structure and quantity have a very large change, and soil nutrient pool also there occurs obvious change.By carrying out the test of Soil Nitrogen, phosphorus, potassium and middle and trace element nutrient, according to long-term cropping object and expected yield target, after being analyzed by soil test, understand fertilizer provision from soil situation.Thus determine cost-effective fertilization program, both reach high yield and in turn save spending, therefore Soil K+adsorption analysis is the requisite important step of modern agriculture, existing Soil K+adsorption exist Detection results be subject to external environment influence, Testing index not comprehensively, detection method relies on passing experience and the problem such as error information detection is large.
Summary of the invention
The present invention is directed to prior art Problems existing, providing a kind of can carry out the complete detection analysis of integration to soil and can carry out Intelligent Evaluation to analysis result thus provide the Soil K+adsorption intelligent system of constructive suggestions for applying fertilizers scientifically.
A kind of technical scheme provided by the invention is: a kind of Soil K+adsorption intelligent system, comprises collecting soil sample module, soil rough handling module, soil initial analysis module, depth of soil analysis module, soil integrated data processing module and soil assessment module, described soil rough handling module comprises soil removal of impurities module, soil is pulverized module and soil and to be sieved module, and described soil initial analysis module comprises humidity detection module, moisture module, potential of hydrogen detection module, saline and alkaline detection module, particle recognition module, factor of porosity identification module and temperature detecting module, described depth of soil analysis module comprises main nutrients detection module and other trace element detection modules, and described main nutrients detection module comprises available nitrogen detection module, rapid available phosphorus detection module and available potassium detection module, described soil integrated data processing module is detected data by integration soil initial analysis module and depth of soil analysis module and is comprehensively analyzed in conjunction with soil geographical environment information module.
Further improvement of the present invention is: described collecting soil sample module, soil rough handling module, soil initial analysis module and the whole testing process of depth of soil analysis module are all carried out under sterile vacuum environment.
Further improvement of the present invention is: the detection reagent that described soil initial analysis module and depth of soil analysis module use is prepared by the pure water of gas noiseless after deep purifying.
Further improvement of the present invention is: described depth of soil analysis module realizes main nutrients by the instant locking module of nutrient and temperature control module and micronutrient levels detects.
Further improvement of the present invention is: described soil geographical environment information module is by internet hunt and store up-to-date soil geographical environment information, to provide up-to-date Data support to soil integrated data processing module and soil assessment module, strengthen the degree of association of physical geographic environment described in Soil K+adsorption data and soil.
Further improvement of the present invention is: described soil integrated data processing module and soil assessment module all carry out aggregation of data process and evaluation result display by high intelligent computer.
Beneficial effect of the present invention is: 1, pass through finally to draw soil Intelligent Evaluation result to the Intelligent treatment of every data to initial analysis and depth analysis again from the rough handling that collects of pedotheque again, the equal integration of overall process completes, metrical error is little, show that data are more accurate.2, detect overall process to carry out all in an aseptic environment, not by external environment influence.3, depth of soil module can lock nutrient index by the instant locking module of nutrient in very short time, avoids the nutrient data not easily detected to run off.4, detected temperatures is more controlled, greatly reduces the impact that Yin Wendu causes Monitoring Data.5, soil integrated data processing module is detected data by integration soil initial analysis module and depth of soil analysis module and is comprehensively analyzed in conjunction with soil geographical environment information module, greatly strengthen the degree of association of physical environment belonging to soil data and soil, more science is objective to make final soil assessment result.
Accompanying drawing explanation
Fig. 1 is operation logic schematic diagram of the present invention.
Fig. 2 is soil initial analysis module operation logic schematic diagram of the present invention.
Fig. 3 is depth of soil analysis module operation logic schematic diagram of the present invention.
1-collecting soil sample module, 2-soil rough handling module, 3-soil initial analysis module, 4-depth of soil analysis module, 5-soil integrated data processing module, 6-soil assessment module, 7-soil removal of impurities module, 8-soil pulverizes module, 9-soil sieves module, 10-humidity detection module, 11-moisture module, 12-potential of hydrogen detection module, 13-saline and alkaline detection module, 14-particle recognition module, 15-factor of porosity identification module, 16-temperature detecting module, 17-main nutrients detection module, other trace element detection modules of 18-, 19-available nitrogen detection module, 20-rapid available phosphorus detection module, 21-available potassium detection module, the instant locking module of 22-nutrient, 23-temperature control module, 24-soil geographical environment information module.
Embodiment
Embodiment
Embodiment is as Fig. 1, shown in Fig. 2 and Fig. 3: a kind of Soil K+adsorption intelligent system, comprises collecting soil sample module 1, soil rough handling module 2, soil initial analysis module 3, depth of soil analysis module 4, soil integrated data processing module 5 and soil assessment module 6, described soil rough handling module 2 comprises soil removal of impurities module 7, soil is pulverized module 8 and soil and to be sieved module 9, and described soil initial analysis module 3 comprises humidity detection module 10, moisture module 11, potential of hydrogen detection module 12, saline and alkaline detection module 13, particle recognition module 14, factor of porosity identification module 15 and temperature detecting module 16, described depth of soil analysis module 4 comprises main nutrients detection module 17 and other trace element detection modules 18, and described main nutrients detection module 17 comprises available nitrogen detection module 19, rapid available phosphorus detection module 20 and available potassium detection module 21, described soil integrated data processing module 5 is detected data by integration soil initial analysis module 2 and depth of soil analysis module 3 and is comprehensively analyzed in conjunction with soil geographical environment information module.
The present invention is when reality uses, first gather pedotheque by collecting soil sample module 1, soil removal of impurities module 7 is passed through again by soil rough handling module 2, soil is pulverized module 8 and the soil module 9 pairs of pedotheques that sieve and is carried out removal of impurities, pulverize and sieve, pedotheque is made to meet testing requirement, pedotheque passes through humidity detection module 10 by soil initial analysis module 3 after rough handling, moisture module 11, potential of hydrogen detection module 12, saline and alkaline detection module 13, particle recognition module 14, factor of porosity identification module 15 and temperature detecting module 16 detect the humidity of pedotheque, moisture, potential of hydrogen, saline and alkaline, grain size, factor of porosity and temperature, thus draw the Preliminary detection data of pedotheque, and then each nutrient content detected by main nutrients detection module 17 and other trace element detection modules 18 by depth of soil analysis module 4 in pedotheque, wherein as the available nitrogen of main nutrients, rapid available phosphorus, available potassium and other trace elements when detecting because content is not high, unstable chemcial property, carry out detecting the nutrient content that the instant lock-in detection of data realizes detecting in the short time pedotheque to above-mentioned nutrient content by the instant locking module of nutrient 22 when therefore detecting, and when detecting main nutrients and trace element, also control detected temperatures by temperature control module 23, ensure to detect data accurate, described soil integrated data processing module 5 is detected data 4 by integration soil initial analysis module 3 and depth of soil analysis module and is comprehensively analyzed in conjunction with soil geographical environment information module 24, described soil geographical environment information module 24 is by internet hunt and store up-to-date soil geographical environment information, to provide up-to-date Data support to soil integrated data processing module 5 and soil assessment module 6, strengthen the degree of association of physical geographic environment described in Soil K+adsorption data and soil, more science is objective to make final soil assessment result, described soil integrated data processing module 5 and soil assessment module 6 all carry out aggregation of data process and evaluation result display by high intelligent computer, data processing is more quick accurately, described collecting soil sample module 1, soil rough handling module 2, soil initial analysis module 3 and depth of soil analysis module 4 all testing process all carry out under sterile vacuum environment, the detection reagent that described soil initial analysis module and 3 depth of soil analysis modules 4 use is prepared by the pure water of gas noiseless after deep purifying, ensure testing process not by external environment influence, ensure to detect data more accurate.
Claims (6)
1. a Soil K+adsorption intelligent system, it is characterized in that: comprise collecting soil sample module (1), soil rough handling module (2), soil initial analysis module (3), depth of soil analysis module (4), soil integrated data processing module (5) and soil assessment module (6), described soil rough handling module (2) comprises soil removal of impurities module (7), soil pulverizes module (8) and soil sieves module (9), described soil initial analysis module (3) comprises humidity detection module (10), moisture module (11), potential of hydrogen detection module (12), saline and alkaline detection module (13), particle recognition module (14), factor of porosity identification module (15) and temperature detecting module (16), described depth of soil analysis module (4) comprises main nutrients detection module (17) and other trace element detection modules (18), described main nutrients detection module (17)) comprise available nitrogen detection module (19), rapid available phosphorus detection module (20) and available potassium detection module (21), described soil integrated data processing module (5) is detected data by integration soil initial analysis module (3) and depth of soil analysis module (4) and is comprehensively analyzed in conjunction with soil geographical environment information module (24).
2. a kind of Soil K+adsorption intelligent system according to claim 1, is characterized in that: described collecting soil sample module (1), soil rough handling module (2), soil initial analysis module (3) and depth of soil analysis module (4) all testing process all carry out under sterile vacuum environment.
3. a kind of Soil K+adsorption intelligent system according to claim 1, is characterized in that: the detection reagent that described soil initial analysis module (3) and depth of soil analysis module (4) use is prepared by the pure water of gas noiseless after deep purifying.
4. a kind of Soil K+adsorption intelligent system according to claim 1, is characterized in that: described depth of soil analysis module (4) realizes main nutrients by the instant locking module of nutrient (22) and temperature control module (23) and micronutrient levels detects.
5. a kind of Soil K+adsorption intelligent system according to claim 1, it is characterized in that: described soil geographical environment information module (24) is by internet hunt and store up-to-date soil geographical environment information, to provide up-to-date Data support to soil integrated data processing module (5) and soil assessment module (6), strengthen the degree of association of physical geographic environment described in Soil K+adsorption data and soil.
6. a kind of Soil K+adsorption intelligent system according to claim 1, is characterized in that: described soil integrated data processing module (5) and soil assessment module (6) all carry out aggregation of data process and evaluation result display by high intelligent computer.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510929657.0A CN105548522A (en) | 2015-12-15 | 2015-12-15 | Intelligent system for soil detection |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510929657.0A CN105548522A (en) | 2015-12-15 | 2015-12-15 | Intelligent system for soil detection |
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| CN201510929657.0A Pending CN105548522A (en) | 2015-12-15 | 2015-12-15 | Intelligent system for soil detection |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124734A (en) * | 2016-07-18 | 2016-11-16 | 安徽本立物联网技术有限公司 | A kind of proportion of crop planting management system for monitoring |
| CN108176712A (en) * | 2017-12-07 | 2018-06-19 | 山东省林业科学研究院 | A kind of restorative procedure and system of alkaline land soil pollution |
| CN110987510A (en) * | 2019-12-18 | 2020-04-10 | 西安重光明宸检测技术有限公司 | Soil detection method |
| CN112345730A (en) * | 2020-10-30 | 2021-02-09 | 石家庄职业技术学院（石家庄广播电视大学） | Soil environment detection device |
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| CN102680659A (en) * | 2011-03-11 | 2012-09-19 | 河北农业大学 | Method for determining constituents of soil at tailings mining area |
| WO2013109964A1 (en) * | 2012-01-18 | 2013-07-25 | Hanby International, Llc | Spectrometric device for the analysis of environmental and geological samples |
| CN104502564A (en) * | 2014-12-13 | 2015-04-08 | 齐齐哈尔大学 | Soil parameter experiment method |
| CN104950097A (en) * | 2015-06-24 | 2015-09-30 | 中南林业科技大学 | Multi-functional soil analysis system |
| CN204789440U (en) * | 2015-07-22 | 2015-11-18 | 山西省农业科学院作物科学研究所 | Soil detecting device |
-
2015
- 2015-12-15 CN CN201510929657.0A patent/CN105548522A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102680659A (en) * | 2011-03-11 | 2012-09-19 | 河北农业大学 | Method for determining constituents of soil at tailings mining area |
| WO2013109964A1 (en) * | 2012-01-18 | 2013-07-25 | Hanby International, Llc | Spectrometric device for the analysis of environmental and geological samples |
| CN104502564A (en) * | 2014-12-13 | 2015-04-08 | 齐齐哈尔大学 | Soil parameter experiment method |
| CN104950097A (en) * | 2015-06-24 | 2015-09-30 | 中南林业科技大学 | Multi-functional soil analysis system |
| CN204789440U (en) * | 2015-07-22 | 2015-11-18 | 山西省农业科学院作物科学研究所 | Soil detecting device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124734A (en) * | 2016-07-18 | 2016-11-16 | 安徽本立物联网技术有限公司 | A kind of proportion of crop planting management system for monitoring |
| CN108176712A (en) * | 2017-12-07 | 2018-06-19 | 山东省林业科学研究院 | A kind of restorative procedure and system of alkaline land soil pollution |
| CN110987510A (en) * | 2019-12-18 | 2020-04-10 | 西安重光明宸检测技术有限公司 | Soil detection method |
| CN112345730A (en) * | 2020-10-30 | 2021-02-09 | 石家庄职业技术学院（石家庄广播电视大学） | Soil environment detection device |
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Application publication date: 20160504 |