CN112434775A - Sowing monitoring product testing method based on normal distribution - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 238000009826 distribution Methods 0.000 title claims abstract description 20
- 238000009331 sowing Methods 0.000 title claims abstract description 18
- 238000012360 testing method Methods 0.000 title claims abstract description 16
- 238000010899 nucleation Methods 0.000 claims abstract description 40
- 238000001914 filtration Methods 0.000 claims abstract description 17
- 238000012806 monitoring device Methods 0.000 claims abstract description 12
- 230000008859 change Effects 0.000 claims description 8
- 238000010801 machine learning Methods 0.000 claims description 8
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- 230000002776 aggregation Effects 0.000 claims description 3
- 238000004220 aggregation Methods 0.000 claims description 3
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- QNRATNLHPGXHMA-XZHTYLCXSA-N (r)-(6-ethoxyquinolin-4-yl)-[(2s,4s,5r)-5-ethyl-1-azabicyclo[2.2.2]octan-2-yl]methanol;hydrochloride Chemical group Cl.C([C@H]([C@H](C1)CC)C2)CN1[C@@H]2[C@H](O)C1=CC=NC2=CC=C(OCC)C=C21 QNRATNLHPGXHMA-XZHTYLCXSA-N 0.000 claims description 2
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- G06M1/27—Design features of general application for representing the result of count in the form of electric signals, e.g. by sensing markings on the counter drum
- G06M1/272—Design features of general application for representing the result of count in the form of electric signals, e.g. by sensing markings on the counter drum using photoelectric means
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Abstract
The invention discloses a sowing monitoring product testing method based on normal distribution, which comprises the following steps: seeding monitoring devices, seeding monitoring devices comprises into hopper, blanking plate, bump nail, discharge gate, blanking pipe, infrared generator and infrared receiver, it is linked together with blanking plate inside to go into the exit that the hopper is located blanking plate's top and goes into the hopper, blanking plate's surface is equipped with a plurality of groups and bumps nail and bump fixed connection between nail and the blanking plate. The invention solves the problem that a plurality of seeds can not be accurately counted when falling, solves the error caused by manual counting, simultaneously improves the counting accuracy and efficiency, adopts a nail plate designed based on the normal distribution principle to ensure that overlapped seeds falling simultaneously can fall successively after passing through the device, adopts a photoelectric sensor to acquire the falling information of the seeds, counts the seeds after filtering treatment in upper computer software, thereby improving the counting accuracy of the testing device.
Description
Technical Field
The invention relates to the technical field of seeding monitoring, in particular to a seeding monitoring product testing method based on normal distribution.
Background
China is a big agricultural country, the modernization of agricultural machinery is more and more important, and the precision seeding machine is more and more valued. The precision seeding is superior to drill seeding, the used seeds are less, and the field working hour is saved. Most of main parts of the current seeding machines, namely seeding machines, are closed, and the seeding process cannot be seen, so that blockage or missing seeding occurs in the seeding process, a driver cannot see the blockage or missing seeding, missing seeding and broken strips are caused, and high-quality seeding cannot be guaranteed. Therefore, more and more monitoring systems are arranged on the seeder, so as to ensure that the alarm is given when the missing seeding occurs in the seeding process, complete the missing seeding compensation and assist in counting and calculating various seeding parameters.
The seeding monitoring system can monitor the miss-seeding condition through the monitoring sensor and send out sound and light alarm in different modes, and the system can calculate the re-seeding rate, the miss-seeding rate and the qualified rate at regular time and send the re-seeding rate, the miss-seeding rate and the qualified rate to a display for display, and can print the parameters according to requirements to ensure the quality of precise seeding. The system can realize intelligent detection, can give a two-way alarm once the machine breaks down, timely informs a driver of the position and the nature of the fault, is convenient for parking and checking, avoids the phenomenon of missed seeding to the maximum extent, and greatly improves the working quality, the seeding quality and the intelligent level of the seeding machine.
The most important index of the sowing monitoring system is monitoring precision, seeds pass through a sensor of the sowing monitoring system after passing through a sowing device, and the sensor senses the counting when the seeds pass through. Since the seeder may drop 2 or more seeds at the same time, if the dropped seeds are partially overlapped or connected, the sensor counts the seeds into one, thereby affecting the precision.
At present to the test of seeding monitoring system count precision, the method of artifical statistics is adopted to the majority, is connected to the disseminator with seeding monitoring system, and after working a period, the number of artifical number seed is compared its count with seeding monitoring system on, and not only consuming time and power, artificial error also can be introduced simultaneously, lead to the test result inaccurate to can't carry out a large amount of kinds of counts that fall. Therefore, a new technical solution needs to be provided.
Disclosure of Invention
The invention aims to provide a sowing monitoring product testing method based on normal distribution, which solves the problems that in the prior art, most of the prior art adopts a manual counting method for testing the counting precision of a sowing monitoring system, the sowing monitoring system is connected to a sowing machine, after the sowing monitoring system works for a period of time, the number of seeds is counted manually, the number of seeds is compared with the counting on the sowing monitoring system, time and labor are consumed, meanwhile, human errors are introduced, the testing result is inaccurate, and a large number of seed falling counting cannot be carried out.
In order to achieve the purpose, the invention provides the following technical scheme: a sowing monitoring product testing method based on normal distribution comprises the following steps: seeding monitoring devices, seeding monitoring devices comprises into hopper, blanking plate, bump nail, discharge gate, blanking pipe, infrared generator and infrared receiver, it is linked together inside with the blanking plate to go into the exit that the hopper is located the top of blanking plate and goes into the hopper, the surface of blanking plate is equipped with a plurality of groups and bumps nail and bump fixed connection between nail and the blanking plate, the lower part that the lower part of blanking plate was equipped with discharge gate and discharge gate is equipped with the blanking pipe, the right side that the left side of blanking pipe was equipped with infrared generator and blanking pipe is equipped with infrared generator assorted infrared receiver.
As a preferred embodiment of the invention, a plurality of groups of collision nails are vertically and uniformly distributed, and a rhombic structure is formed between every two adjacent three rows of collision nails.
As a preferred embodiment of the invention, one side of each of the two collision nails in each row of the same rhombus is uniformly heightened, and the other side of each of the two collision nails in each row is uniformly lowered, so that when seeds pass through the first-stage collision nail, the seeds respectively enter the left-side area and the right-side area to randomly collide.
As a preferred embodiment of the present invention, the infrared generator and the infrared receiver are both connected to an external controller, and machine learning software is installed inside the external controller.
In a preferred embodiment of the present invention, a filter processing device is disposed inside the external controller, and the filter processing device eliminates the influence of external light, dust, and electric circuit, so as to obtain an accurate count of seeds.
As a preferred embodiment of the present invention, the test method comprises the steps of:
step 1: designing and manufacturing a blanking plate, wherein the design of the blanking plate needs to be based on a normal distribution principle, namely, randomly falling seeds are normally distributed after random collision, but in order to separate the simultaneously falling seeds, two collision nails in the same rhombus in each row need to be slightly adjusted, one side of each collision nail is uniformly heightened, the other side of each collision nail is uniformly lowered, so that the seeds respectively enter a left side area and a right side area to be randomly collided when passing through a first-stage blanking plate, a certain distance is reserved at the moment, and the falling time difference accumulation of the seeds is larger through multi-stage collision, so that the simultaneously falling seeds are separated;
step 2: infrared light of the infrared generator is emitted to the infrared receiver through a pipeline, after seeds pass through the infrared receiver, level change is caused, the size of the seeds can affect the threshold value of the level change, machine learning is carried out in software, and after a large amount of learning is carried out according to statistics and the number of actually falling seeds by adopting an aggregation algorithm, the empirical value of the level threshold value is obtained;
and step 3: and filtering in software to eliminate the influence of external illumination, dust and circuits, thereby eliminating the influence factors and obtaining the accurate count of the seeds. If the parameters in the filtering are too large, small seeds can be missed, if the parameters are too small, sundries can be recorded, machine learning is added into software, curve fitting is carried out for 3 times for three times, and after a large amount of learning is carried out, filtering parameters are determined to obtain parameter empirical values.
In a preferred embodiment of the present invention, the fitted curve has a value Y [ n ] ═ a x [ n ] < 3+ B x [ n ] < 2+ C x [ n ] + D.
Compared with the prior art, the invention has the following beneficial effects:
the invention solves the problem that a plurality of seeds can not be accurately counted when falling, solves the error caused by manual counting, simultaneously improves the counting accuracy and efficiency, adopts a nail plate designed based on the normal distribution principle to ensure that overlapped seeds falling simultaneously can fall successively after passing through the device, adopts a photoelectric sensor to acquire the falling information of the seeds, counts the seeds after filtering treatment in upper computer software, thereby improving the counting accuracy of the testing device.
Drawings
FIG. 1 is a schematic structural view of a seed blanking detection device according to the present invention;
FIG. 2 is a schematic view of a flow chart of the detection system of the present invention.
In the figure: 1. feeding into a hopper; 2. a blanking plate; 3. impacting the nail; 4. a discharge port; 5. a blanking pipe; 6. an infrared generator; 7. an infrared receiver.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: a sowing monitoring product testing method based on normal distribution comprises the following steps: a seeding monitoring device, which consists of a feeding hopper 1, a blanking plate 2, collision nails 3, a discharge port 4, a blanking pipe 5, an infrared generator 6 and an infrared receiver 7, wherein the feeding hopper 1 is positioned at the top of the blanking plate 2, the outlet of the feeding hopper 1 is communicated with the interior of the blanking plate 2, the outer surface of the blanking plate 2 is provided with a plurality of groups of collision nails 3, the collision nails 3 are fixedly connected with the blanking plate 2, the lower part of the blanking plate 2 is provided with the discharge port 4, the lower part of the discharge port 4 is provided with the blanking pipe 5, the left side of the blanking pipe 5 is provided with the infrared generator 6, the right side of the blanking pipe 5 is provided with the infrared receiver 7 matched with the infrared generator 6, the seeds fall into the blanking plate 2 from the feeding hopper 1, collision spaces formed between the collision nails 3 enable the seeds to collide in the interior thereof, thereby generating distance and leading the falling time difference accumulation of the seeds to be larger, therefore, seeds falling simultaneously are separated, infrared light is blocked by the seeds through the infrared generator 6, the high and low levels of the receiving end of the infrared receiver 7 are changed, the level change is captured by software in the external controller, and seed falling information is obtained and counted after a filtering algorithm is carried out.
Further improved, as shown in fig. 1: a plurality of groups collision nail 3 is vertical evenly arranged, and adjacent three rows form the rhombus structure between the collision nail 3, vertical evenly distributed between the collision nail 3, and the rhombus structure that its three rows of adjacent collision nails 3 formed makes and has sufficient collision space between the seed.
Further improved, as shown in fig. 1: each is listed as two in the same rhombus one side of colliding nail 3 is unified to be increaseed and the opposite side is unified to be decreased, when the seed bumps nail 3 through first order, just get into the left side respectively and collide at random in the right side region, two collisions nail 3 in the same rhombus of each row do the adjustment slightly, one side is unified to be increaseed, the opposite side is unified to be decreased, when the seed bumps nail 3 through first order, just get into the left side respectively and collide at random in the right side region, just certain distance has been had this moment, through the multistage collision, the poor accumulation of the whereabouts time of seed is bigger, thereby separately whereabouts the seed simultaneously.
Further improved, as shown in fig. 2: the infrared generator 6 and the infrared receiver 7 are connected with an external controller, machine learning software is arranged inside the external controller, infrared light is blocked by seeds passing through the infrared generator 6, the high level and the low level of the receiving end of the infrared receiver 7 are changed, the level change is captured by the software in the external controller, seed falling information is obtained through a filtering algorithm, counting is carried out, and a proper threshold value is obtained through machine learning in the judgment of the level threshold value.
Further improved, as shown in fig. 2: and a filtering processing device is arranged in the external controller and eliminates the influence of external illumination, dust and circuits, so that the accurate counting of seeds is obtained, and parameters such as a threshold value in a filtering algorithm are also obtained through machine learning.
Further improved, as shown in fig. 2: the test method comprises the following steps:
step 1: designing and manufacturing a blanking plate, wherein the design of the blanking plate needs to be based on a normal distribution principle, namely, randomly falling seeds are normally distributed after random collision, but in order to separate the simultaneously falling seeds, two collision nails in the same rhombus in each row need to be slightly adjusted, one side of each collision nail is uniformly heightened, the other side of each collision nail is uniformly lowered, so that the seeds respectively enter a left side area and a right side area to be randomly collided when passing through a first-stage blanking plate, a certain distance is reserved at the moment, and the falling time difference accumulation of the seeds is larger through multi-stage collision, so that the simultaneously falling seeds are separated;
step 2: infrared light of the infrared generator is emitted to the infrared receiver through a pipeline, after seeds pass through the infrared receiver, level change is caused, the size of the seeds can affect the threshold value of the level change, machine learning is carried out in software, and after a large amount of learning is carried out according to statistics and the number of actually falling seeds by adopting an aggregation algorithm, the empirical value of the level threshold value is obtained;
and step 3: and filtering in software to eliminate the influence of external illumination, dust and circuits, thereby eliminating the influence factors and obtaining the accurate count of the seeds. If the parameters in the filtering are too large, small seeds can be missed, if the parameters are too small, sundries can be recorded, machine learning is added into software, curve fitting is carried out for 3 times for three times, and after a large amount of learning is carried out, filtering parameters are determined to obtain parameter empirical values.
In a further refinement, the fitted curve has a value Y [ n ] ═ a x [ n ] ^3+ B x [ n ] ^2+ C x [ n ] + D.
The invention solves the problem that a plurality of seeds can not be accurately counted when falling, solves the error caused by manual counting, simultaneously improves the counting accuracy and efficiency, adopts a nail plate designed based on the normal distribution principle to ensure that overlapped seeds falling simultaneously can fall successively after passing through the device, adopts a photoelectric sensor to acquire the falling information of the seeds, counts the seeds after filtering treatment in upper computer software, thereby improving the counting accuracy of the testing device.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The utility model provides a seeding monitoring devices based on normal distribution which characterized in that: the method comprises the following steps: seeding monitoring devices, seeding monitoring devices comprises into hopper (1), blanking plate (2), collision nail (3), discharge gate (4), blanking pipe (5), infrared generator (6) and infrared receiver (7), go into hopper (1) and be located the top of blanking plate (2) and go into the exit of hopper (1) and be linked together with blanking plate (2) inside, the surface of blanking plate (2) is equipped with a plurality of groups and collides nail (3) and bumps and collide fixed connection between nail (3) and blanking plate (2), the lower part that the lower part of blanking plate (2) was equipped with discharge gate (4) and discharge gate (4) is equipped with blanking pipe (5), the right side that the left side of blanking pipe (5) was equipped with infrared generator (6) and blanking pipe (5) is equipped with infrared receiver (7) with infrared generator (6) assorted.
2. A normal distribution based sowing monitoring device according to claim 1, wherein: the collision nails (3) in the plurality of groups are vertically and uniformly distributed, and a rhombic structure is formed between the collision nails (3) in three adjacent rows.
3. A normal distribution based sowing monitoring device according to claim 2, wherein: one side of each row of the collision nails (3) is uniformly heightened, the other side of each row of the collision nails is uniformly lowered, and when seeds pass through the first-stage collision nails (3), the seeds respectively enter the left-side area and the right-side area to collide randomly.
4. A normal distribution based sowing monitoring device according to claim 1, wherein: the infrared generator (6) and the infrared receiver (7) are connected with an external controller, and machine learning software is arranged in the external controller.
5. A normal distribution based sowing monitoring device according to claim 4, wherein: and a filtering processing device is arranged in the external controller and eliminates the influence of external illumination, dust and circuits, so that the accurate counting of the seeds is obtained.
6. The normal distribution based seeding monitoring product testing method according to claim 1, wherein: the test method comprises the following steps:
step 1: designing and manufacturing a blanking plate, wherein the design of the blanking plate needs to be based on a normal distribution principle, namely, randomly falling seeds are normally distributed after random collision, but in order to separate the simultaneously falling seeds, two collision nails in the same rhombus in each row need to be slightly adjusted, one side of each collision nail is uniformly heightened, the other side of each collision nail is uniformly lowered, so that the seeds respectively enter a left side area and a right side area to be randomly collided when passing through a first-stage blanking plate, a certain distance is reserved at the moment, and the falling time difference accumulation of the seeds is larger through multi-stage collision, so that the simultaneously falling seeds are separated;
step 2: infrared light of the infrared generator is emitted to the infrared receiver through a pipeline, after seeds pass through the infrared receiver, level change is caused, the size of the seeds can affect the threshold value of the level change, machine learning is carried out in software, and after a large amount of learning is carried out according to statistics and the number of actually falling seeds by adopting an aggregation algorithm, the empirical value of the level threshold value is obtained;
and step 3: and filtering in software to eliminate the influence of external illumination, dust and circuits, thereby eliminating the influence factors and obtaining the accurate count of the seeds. If the parameters in the filtering are too large, small seeds can be missed, if the parameters are too small, sundries can be recorded, machine learning is added into software, curve fitting is carried out for 3 times for three times, and after a large amount of learning is carried out, filtering parameters are determined to obtain parameter empirical values.
7. The normal distribution based seeding monitoring product testing method according to claim 1, wherein: the value of the fitted curve is Y [ n ] ═ A x [ n ] < Lambda > 3+ B x [ n ] < Lambda > 2+ C x [ n ] + D.
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