CN112945612A - Intelligent agricultural soil detection method based on 5G big data evaluation - Google Patents
Intelligent agricultural soil detection method based on 5G big data evaluation Download PDFInfo
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- CN112945612A CN112945612A CN202110108409.5A CN202110108409A CN112945612A CN 112945612 A CN112945612 A CN 112945612A CN 202110108409 A CN202110108409 A CN 202110108409A CN 112945612 A CN112945612 A CN 112945612A
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- 238000001514 detection method Methods 0.000 title claims abstract description 69
- 239000002689 soil Substances 0.000 title claims abstract description 42
- 238000011157 data evaluation Methods 0.000 title claims abstract description 17
- 238000005070 sampling Methods 0.000 claims abstract description 87
- 230000007246 mechanism Effects 0.000 claims abstract description 24
- 230000009471 action Effects 0.000 claims abstract description 4
- 238000002372 labelling Methods 0.000 claims abstract description 3
- 238000009434 installation Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 12
- 230000033001 locomotion Effects 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000002347 injection Methods 0.000 claims description 2
- 239000007924 injection Substances 0.000 claims description 2
- 238000012360 testing method Methods 0.000 abstract description 11
- 238000000034 method Methods 0.000 description 4
- 238000005527 soil sampling Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000035558 fertility Effects 0.000 description 1
- 230000004720 fertilization Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
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- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
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- 238000013441 quality evaluation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000004856 soil analysis Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/04—Devices for withdrawing samples in the solid state, e.g. by cutting
- G01N1/08—Devices for withdrawing samples in the solid state, e.g. by cutting involving an extracting tool, e.g. core bit
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B5/00—Cleaning by methods involving the use of air flow or gas flow
- B08B5/02—Cleaning by the force of jets, e.g. blowing-out cavities
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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
Abstract
The invention belongs to the field of soil detection, and particularly relates to an intelligent agricultural soil detection method based on 5G big data evaluation, which provides the following scheme, comprising the following steps of: s1: dividing a total plot drawing to be sampled into a plurality of grid shapes with the same area, labeling each grid-shaped plot, throwing a sphere on the total plot drawing by using the principle of a throwing color son, observing the final falling region label of the sphere, and selecting a plot area for each sampling; s2: the central server sends a signal to the sampling device through the 5G base station, and the sampling device is controlled to move to a place needing sampling under the action of the driving mechanism; s3: after the sampling device moves to a sampling place, three sampling cylinders on the sampling device are controlled to sample simultaneously. This device can select the place that needs detected at random, and three experimental samples of at every turn sampling, when taking a sample, the sampling precision is high, reduces the single instability that leads to the testing result of sample.
Description
Technical Field
The invention relates to the technical field of soil detection, in particular to an intelligent agricultural soil detection method based on 5G big data evaluation.
Background
Soil analysis is the qualitative and quantitative determination of the physical and chemical properties of the constituents of soil. The method is a basic work for carrying out soil generation and development, fertility evolution, soil resource evaluation, soil improvement and reasonable fertilization research, is also an important means for carrying out environmental quality evaluation in environmental science, and has great significance for carrying out reconstruction on waste land.
In the soil sampling process, manual sampling is needed, so that the labor intensity of soil sampling is high, time and labor are wasted, and the efficiency is low; the soil sampling method has the advantages that the soil sampling cannot be carried out in time, the soil detection experiment is inaccurate along with the time, the detection efficiency is low, and therefore the intelligent agricultural soil detection method based on 5G big data evaluation is provided.
Disclosure of Invention
The invention provides an intelligent agricultural soil detection method based on 5G big data evaluation, which solves the problems that the existing soil detection is time-consuming and labor-consuming, and the detection is not timely and accurate.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent agricultural soil detection method based on 5G big data evaluation comprises the following steps:
s1: dividing a total plot drawing to be sampled into a plurality of grid shapes with the same area, labeling each grid-shaped plot, throwing a sphere on the total plot drawing by using the principle of a throwing color son, observing the final falling region label of the sphere, and selecting a plot area for each sampling;
s2: the central server sends a signal to the sampling device through the 5G base station, and the sampling device is controlled to move to a place needing sampling under the action of the driving mechanism;
s3: after the sampling device moves to a sampling place, three sampling cylinders on the sampling device are controlled to sample simultaneously;
s4: the rapid detection of the soil sample of the sampling cylinder is realized through each detection tube, and the detection result is transmitted back to the central server through the 5G base station;
s5: and the processor of the central server merges and averages each received detection result to obtain final soil data of the position, and compares the averaged number with a database to obtain the change of the soil condition of the position and judge the quality of the soil condition of the position.
Preferably, the sampling device in the step S2 includes a power mechanism, three flashboards arranged in an annular array are installed on the outer side wall of the power mechanism, a second telescopic rod and a third telescopic rod are installed at the top end of the power mechanism through a support frame, an output shaft at the bottom end of the second telescopic rod is connected with an installation frame, fixing rings are hinged at the end points of three branches on the installation frame, a sampling cylinder is rotatably connected to the fixing rings, a transmission toothed ring is installed at the top end of the sampling cylinder, motors are installed at the three end points on the installation frame, a transmission gear meshed with the transmission toothed ring is fixedly connected, three branches on the mounting rack are all hinged with a first telescopic rod, an output shaft of the first telescopic rod is hinged with a connecting ring which is rotatably sleeved outside the sampling cylinder, and a top end output shaft of the third telescopic rod is fixedly connected with a connecting frame, and three detection tubes corresponding to the top end openings of the sampling tubes are arranged on the connecting frame.
Preferably, the flashboard, the sampling tube and the detection tube are located on the same axis, and the bottom end of the sampling tube is provided with tooth openings distributed in an annular array.
Preferably, the top end of the power mechanism is provided with a groove convenient for movement of the mounting frame, a storage battery and a charger are arranged inside the power mechanism, a solar panel is arranged at the top end of the connecting frame, and the output end of the solar panel is connected with the storage battery through the charger.
Preferably, the detection tube is a hollow round tube, the detection assembly is installed on the outer side wall of the detection tube, a plurality of air injection holes are formed in the side wall of the detection tube, and the top end of the detection tube is connected with an air pump located inside the power mechanism through a guide tube.
Preferably, the power mechanism is provided with a GPS positioning device.
Preferably, after sampling detection in S4 each time is finished, the cleaning of the outer surface of each sampling cylinder and the outer surface of each detection tube is rapidly realized, and the next sampling detection is convenient.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides an intelligent agricultural soil detection method based on 5G big data evaluation, which can randomly select a place to be detected, samples three experimental samples each time, has high sampling precision during sampling, and reduces the instability of a detection result caused by single sample.
2. The invention can remotely control the movement of the sampling device, realize remote sampling, and can detect soil in time, and has high soil detection precision, low labor intensity and high detection efficiency.
Drawings
Fig. 1 is a schematic structural diagram of a sampling device of an intelligent agricultural soil detection method based on 5G big data evaluation according to the present invention.
In the figure: the device comprises a power mechanism 1, a groove 2, a support frame 3, a gate plate 4, a tooth opening 5, a sampling tube 6, a connecting ring 7, a fixing ring 8, a transmission tooth ring 9, a telescopic rod I10, a telescopic rod II 11, an installation frame 12, a motor 13, a transmission gear 14, a detection tube 15, a connecting frame 16, a solar cell panel 17 and a telescopic rod III 18.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1, a smart agricultural soil detection method based on 5G big data evaluation comprises a sampling device, the sampling device comprises a power mechanism 1, the power mechanism 1 is driven by the existing roller or taken by a crawler belt, which is not specifically described herein, three flashboards 4 arranged in an annular array are installed on the outer side wall of the power mechanism 1, when a sampling cylinder 6 deflects, the flashboards 4 seal the bottom opening of the sampling cylinder 6, a second telescopic rod 11 and a third telescopic rod 18 are installed at the top end of the power mechanism 1 through a support frame 3, an output shaft at the bottom end of the second telescopic rod 11 is connected with an installation frame 12, fixing rings 8 are hinged at the three branch end points on the installation frame 12, the sampling cylinder 6 is rotatably connected with the fixing rings 8, a transmission toothed ring 9 is installed at the top end of the sampling cylinder 6, motors 13 are installed at the three end points on the installation frame 12, and a transmission, all articulated on three branch on mounting bracket 12 have telescopic link 10, and the output shaft of telescopic link 10 articulates there is the go-between 7 that rotates to cup joint at the outside of sampler barrel 6, the top output shaft rigid coupling of three 18 of telescopic link has link 16, installs three detecting tube 15 that corresponds with the opening in 6 tops of sampler barrel on link 16.
Flashboard 4 and sampling tube 6 and detection tube 15 are located same axis, and the tooth mouth 5 that the annular array arranged is seted up to the bottom of sampling tube 6, conveniently realizes the detection to the interior sample soil of sampling tube 6.
The top of power unit 1 is opened has the recess 2 of the motion of mounting bracket 12 of being convenient for, and power unit 1's internally mounted has battery and charger, and solar cell panel 17 is installed on the top of link 16, and solar cell panel 17's output is connected with the battery through the charger, can pass through the solar energy power supply in the open air, need not to carry out the power supply through the wire.
The test tube 15 is hollow pipe, the outer side wall mounting detection subassembly of test tube 15, detection subassembly includes temperature and humidity sensor, pH value sensor, oxygen concentration tester etc, it has a plurality of fumaroles to open on the lateral wall of test tube 15, there is the air pump that is located power unit 1 inside on the top of test tube 15 through pipe connection, detect at every turn and close the back through starting the air pump, it is jet-propelled through the fumarole on the test tube 15, realize the cleanness to sampler barrel and test tube surface through gaseous washing away.
The power mechanism 1 is provided with a GPS positioning device, so that the sampling device can move to a selected sampling land area conveniently.
The method comprises the following steps:
s1: dividing a total plot drawing to be sampled into a plurality of grid shapes with equal area, marking each grid-shaped plot, throwing a sphere on the total plot drawing by using the principle of a throwing color son, observing the final falling region of the sphere to obtain a region mark, and thus selecting a plot area for sampling each time and randomly selecting a sampling place;
s2: the central server sends a signal to the sampling device through the 5G base station, and the sampling device is controlled to move to a place needing sampling under the action of the driving mechanism;
s3: after the sampling device moves to a sampling place, the three sampling cylinders on the sampling device are controlled to simultaneously carry out sampling, the output shaft of the telescopic rod 10 drives the sampling cylinder 6 to move to a vertical position, the transmission gear ring 9 on the sampling cylinder 6 is meshed with the transmission gear 14 at the moment, the sampling cylinder 6 and the tooth mouth 5 at the bottom end of the sampling cylinder are driven to rotate through the output shaft of the motor 13, and meanwhile, the output shaft of the telescopic rod two 11 drives the mounting frame 12 and the sampling cylinder 6 on the mounting frame to move downwards, so that the soil can be rapidly sampled;
s4: the rapid detection of a soil sample of the sampling tube is realized through each detection tube, after sampling, an output shaft of a second telescopic rod 11 drives an installation frame 12 and a sampling tube 6 on the installation frame to move upwards to return to the original position, then an output shaft of a first telescopic rod 10 drives the sampling tube 6 to rotate, the bottom end of the sampling tube 6 is sealed by a flashboard 4, meanwhile, the axes of the sampling tube 6, a detection tube 15 and the flashboard 4 are positioned on the same straight line, then an output shaft of a third telescopic rod 18 drives a connecting frame 16 and the detection tube 15 on the connecting frame to be inserted into the sampling tube 6, the detection of the soil is realized through a detection assembly on the connecting frame, and three groups of detection results are transmitted back to a;
s5: the processor of the central server merges and averages each received detection result to obtain final soil data of the position, and meanwhile, compares the averages with a database to obtain the change of the soil condition of the position and realize the judgment of the soil condition of the position;
s6: every time sample detection finishes the back, realize the cleanness to every sampler barrel and test tube surface fast, convenient next sample detection, the output shaft of controlling telescopic link 10 earlier drives sampler barrel 6 and rotates certain angle, the bottom of sampler barrel 6 is no longer sealed by flashboard 4, keep test tube 15 bottom to insert to the sampler barrel 6 in any way simultaneously, start the air pump, the gas that the air pump produced is jet-propelled through the fumarole on the 15 lateral walls of test tube, realize the cleanness to sampler barrel and test tube surface through gaseous washing out.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. An intelligent agricultural soil detection method based on 5G big data evaluation comprises the following steps:
s1: dividing a total plot drawing to be sampled into a plurality of grid shapes with the same area, labeling each grid-shaped plot, throwing a sphere on the total plot drawing by using the principle of a throwing color son, observing the final falling region label of the sphere, and selecting a plot area for each sampling;
s2: the central server sends a signal to the sampling device through the 5G base station, and the sampling device is controlled to move to a place needing sampling under the action of the driving mechanism;
s3: after the sampling device moves to a sampling place, three sampling cylinders on the sampling device are controlled to sample simultaneously;
s4: the rapid detection of the soil sample of the sampling cylinder is realized through each detection tube, and the detection result is transmitted back to the central server through the 5G base station;
s5: and the processor of the central server merges and averages each received detection result to obtain final soil data of the position, and compares the averaged number with a database to obtain the change of the soil condition of the position and judge the quality of the soil condition of the position.
2. The intelligent agricultural soil detection method based on 5G big data evaluation according to claim 1, wherein the sampling device in the step S2 comprises a power mechanism, three flashboards arranged in an annular array are installed on the outer side wall of the power mechanism, a second telescopic rod and a third telescopic rod are installed at the top end of the power mechanism through a support frame, an installation frame is connected to the output shaft at the bottom end of the second telescopic rod, fixing rings are hinged to the end points of the three branches on the installation frame, a sampling cylinder is rotatably connected to the fixing rings, a transmission gear ring is installed at the top end of the sampling cylinder, a motor is installed at each end point on the installation frame, a transmission gear meshed with the transmission gear ring is fixedly connected to the output shaft of the motor, a first telescopic rod is hinged to each of the three branches on the installation frame, and the output shaft of, and a top end output shaft of the third telescopic rod is fixedly connected with a connecting frame, and three detection tubes corresponding to the top end openings of the sampling tubes are arranged on the connecting frame.
3. The intelligent agricultural soil detection method based on 5G big data evaluation according to claim 2, wherein the gate plate, the sampling cylinder and the detection tube are located on the same axis, and the bottom end of the sampling cylinder is provided with tooth openings arranged in an annular array.
4. The intelligent agricultural soil detection method based on 5G big data evaluation according to claim 2, wherein a groove facilitating movement of the mounting frame is formed in the top end of the power mechanism, a storage battery and a charger are installed inside the power mechanism, a solar panel is installed at the top end of the connecting frame, and the storage battery is connected to the output end of the solar panel through the charger.
5. The intelligent agricultural soil detection method based on 5G big data evaluation according to claim 2, wherein the detection tube is a hollow round tube, the detection component is installed on the outer side wall of the detection tube, the side wall of the detection tube is provided with a plurality of air injection holes, and the top end of the detection tube is connected with an air pump located inside the power mechanism through a conduit.
6. The intelligent agricultural soil detection method based on 5G big data evaluation as claimed in claim 2, wherein the power mechanism is provided with a GPS positioning device.
7. The intelligent agricultural soil detection method based on 5G big data evaluation according to claim 1, wherein after each sampling detection in S4, the outer surface of each sampling cylinder and each detection tube is cleaned quickly, so that the next sampling detection is facilitated.
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| CN202110108409.5A CN112945612A (en) | 2021-01-27 | 2021-01-27 | Intelligent agricultural soil detection method based on 5G big data evaluation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114813206A (en) * | 2022-04-01 | 2022-07-29 | 深圳市自然资源和不动产评估发展研究中心(深圳市地质环境监测中心) | Multi-source spatial data-based forest resource carbon sink assessment and collection system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114813206A (en) * | 2022-04-01 | 2022-07-29 | 深圳市自然资源和不动产评估发展研究中心(深圳市地质环境监测中心) | Multi-source spatial data-based forest resource carbon sink assessment and collection system |
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