CN106198885A - A kind of Combine Harvester Grain water content on-line testing device and method - Google Patents
A kind of Combine Harvester Grain water content on-line testing device and method Download PDFInfo
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract
The invention discloses a kind of Combine Harvester Grain water content on-line testing device and method, sampling box, the servomotor that can open or close including upper thin sheet and lower thin sheet, be positioned at the sensor within sampling box and single-chip microcomputer etc..During work, Single-chip Controlling servomotor rotates so that upper thin sheet is opened, lower thin sheet closes, utilize sampling box from grain outlet take out constant volume corn, then control servomotor rotate upper thin sheet close, single-chip microcomputer receiving sensor information and carry out data process draw moisture content.After being measured, control servomotor rotation and lower thin sheet is opened, make corn freely fall in tanker.Upper thin sheet is opened by Repetitive controller afterwards, and lower thin sheet Guan Bi carries out sample detecting next time, it is achieved on-line real-time measuremen.The present invention uses multi-information merging technology, gets rid of and is affected by ambient temperature and corn bulk density during detection, improves the reliability of moisture content detection.
Description
Technical field
The present invention relates to agricultural mechanical field, specifically, relate to a kind of Combine Harvester Grain moisture content and examine online
Survey device and method.
Background technology
Grain is the mankind's requisite existence basis, and grain security is to have safely inseparable contacting with the people's livelihood.
After China, grain harvest through processing, transport, preserving, after the link such as consumption, owing to grain moisture content does not meets storage standard,
Loss rate reaches 18%, considerably beyond the standard value of the 5% of defined in the world.Grain moisture content detection technology imperfection, inspection
Survey the highest one of the main reasons being to cause this phenomenon of precision.Therefore the moisture content in grain is affect grain quality important
Factor, it is also the important quality index that domestic and international grain department strictly controls.
Simultaneously during using united reaper to grain harvest, for obtaining accurate production information and dividing comprehensively
The loss rate of analysis corn, it is desirable to the moisture content of corn is carried out real-time detection, only by united reaper in harvesting process
When the production information detected converts the corn weight of a fixing unified moisture content, detected yield just has actual meaning
Justice, could more comprehensively analyze loss rate Producing reason.
Present stage, after cereal moisture percentage device is applied to grain harvest mostly, it is used for detecting the corn before and after being dried aqueous
Rate, in order to reach optimal stored state.It is mostly sampling static detection device, it is impossible to meet the requirement of detection in real time.The U.S.
The cereal moisture percentage on-line measuring device that CASE company develops has put into united reaper enterprising enforcement use, and this kind of moisture content is examined
Survey device and use condenser type Cleaning Principle, bottom the defeated grain screw feeder being arranged in tanker by sampler, and by defeated grain screw feeder
Tube wall on open a mouth, make part grain fall into sampling passage in complete detection.Within its measurement error can reach 1%, but
It is that it is expensive, introduces relatively costly.
The research that China is used on united reaper in cereal moisture percentage on-line measurement is started late, and also rests on technology
Research, theory analysis stage.Affected relatively big during the detection of cereal moisture percentage by ambient temperature and corn density,
The accurate measured value of more difficult acquisition.Moisture content detection is used on united reaper by Current Domestic, and can carry out
Detection in real time, there is the Fang Jianqing of Beijing Agricultural University.It uses condenser type Cleaning Principle, opens on the defeated grain screw feeder of harvester
One sample tap, makes part grain be detected in over sampling passage falls into detection device by sample tap, when detection device
In sensor detect when grain reach a certain height, by auger conveyor, grain is discharged by force, it is achieved grain is not
Disconnected renewal.But it has only taken into account ambient temperature factor affects detected value, it is impossible to measure corn more accurately aqueous
Rate.
Summary of the invention
For the problems referred to above, the present invention proposes a kind of Combine Harvester Grain water content on-line testing device and method,
Adopt the following technical scheme that
A kind of Combine Harvester Grain water content on-line testing device, fills including grain sampling device and measurement of water ratio
Put；
Described grain sampling device includes sampling box and sampling controlling organization；Described sampling box includes box body, is positioned at box body
Upper thin sheet above and be positioned at the lower thin sheet below box body；Described sampling controlling organization include servomotor A and servo motor B,
Toggle A and toggle B；The two ends of described toggle A connect described upper thin sheet and described respectively
Servomotor A；Described upper thin sheet can be driven to close by described toggle A when described servomotor A rotates forward, reversion
Time drive described upper thin sheet to remove；The two ends of described toggle B connect described lower thin sheet and described servomotor respectively
B；Described lower thin sheet can be driven to close by described toggle B when described servo motor B rotates forward, during reversion, drive institute
State lower thin sheet to remove；
Described moisture percentage measuring apparatus includes sensor unit and single-chip microcomputer, described sensor unit and described single-chip microcomputer phase
Even；Described sensor unit is arranged in inside described sampling box, including temperature sensor, pressure transducer, moisture sensor
And level transducer；On the one hand described single-chip microcomputer controls described servomotor A and described servo motor B by electric machine control system
On the other hand rotate, receive the signal of sensor unit and carry out process and draw cereal moisture percentage.
Further, the present invention detects device and also includes support, horizontal plate that described support is integrated and perpendicular plate；Described
Sampling box is bolted on described horizontal plate；Described servomotor A, described servo motor B and described motor control
System and described single-chip microcomputer are each attached on described perpendicular plate.
Further, before and after described sampling box, upper-lower position inside panel opens flat recess respectively, described upper thin sheet, described
Lower thin sheet can carry out straight line drawing and pulling type motion under the effect of toggle in described flat recess；Described upper thin sheet
Plate face is set to arc, and when upper thin sheet closes, the grain of grain outlet output falls in tanker along arcwall face, not at upper thin sheet
Upper accumulation；Described electric machine control system is servo-driver.
Further, described level transducer is arranged on position, distance sampling cassette bottom portion 3/4；Described pressure transducer is arranged
On described lower thin sheet；Described temperature sensor is arranged on described sampling box inwall；Described moisture sensor is arranged on described
Sampling box inwall.
Further, the present invention detects device and also includes that display screen, described display screen are connected with described single-chip microcomputer, in real time
Display result；Described display screen is arranged in driver's cabin.
Further, described detection device is fixed on grain box of harvester inwall by the perpendicular plate of described support side and is made
Grain outlet is directed at described sampling box.
According to above-mentioned Combine Harvester Grain water content on-line testing device, the invention allows for a kind of detection side
Method, comprises the steps:
S1: fixed by the inwall of the side perpendicular plate of support with tanker by detection device, is arranged in tanker near going out
The position of grain mouth so that corn drops into sampling box from grain outlet output；When corn height reaches at sampling box bottom 3/4
Time, starting servomotor A, servomotor A and rotate forward, make the upper thin sheet of sampling box close, capacitor type water-containing rate sensor, temperature pass
Sensor and pressure transducer proceed by measurement, and are exported by measurement signal and carry out data process to single-chip microcomputer, and will process
Result is shown by display screen.
S2: after single-chip microcomputer process terminates, starts servo motor B, and servo motor B inverts, and makes the lower thin sheet of sampling box remove,
Corn in sampling box utilizes self gravitation to fall；After time delay a period of time, then control servo motor B rotating forward and make lower thin sheet close
Upper, control servomotor A reversion makes upper thin sheet remove, and samples detection, with this repeatedly next time.
Further, the single-chip microcomputer described in described step S1 carries out the method for data process and is:
Collecting temperature sensor, pressure transducer and the signal detected by moisture sensor, utilize data fusion skill
Data are processed by the fuzzy neural network prediction algorithm in art；Concrete processing procedure is as follows:
S1.1: netinit, fuzzy neural network are trained；
Described netinit includes: sets up sample database, arrange network structure, initialization fuzzy neural network ginseng
Count, initialize fuzzy membership parameter, sample data is normalized；
The training of described fuzzy neural network includes: extract training sample in normalized data sample, to input parameter
Carry out Fuzzy processing, calculate each parameter fuzzy membership, output calculate, fuzzy membership function width correction value is entered
Row calculates, calculates fuzzy membership function center correction value, finally obtains the degree of membership parameter of final correction；
S1.2: detect cereal moisture percentage by the fuzzy neural network trained, its process includes: input data are returned
One change processes, input parameter carries out Fuzzy processing, the calculating of network affiliation degree parameter, obtains aqueous according to degree of membership parameter
Rate.
Further, in the structure of described fuzzy neural network, input node number is set to 3, and output node number is set to 1, is subordinate to
The number of genus degree function is set to 6, uses the neural network structure of 3-6-1.
Beneficial effects of the present invention:
1, the present invention uses multi-information merging technology, gets rid of during detection by ambient temperature and corn bulk density
Impact, improves the reliability of moisture content detection.
2, detected moisture content show by carrying out on the enough touch display screens in driver's cabin of data transmissions and
Storage, it is simple to later data information processing.
3, the present invention is during using united reaper to grain harvest, for obtaining accurate production information and complete
The loss rate of surface analysis corn provides foundation.
Accompanying drawing explanation
Fig. 1 is water content on-line testing device structure and scheme of installation in Combine Harvester Grain tanker.
Fig. 2 is water content on-line testing device top view in Combine Harvester Grain tanker.
Fig. 3 is moisture percentage measuring apparatus hardware circuit composition frame chart.
Description of symbols in figure: 1-support, 2-sampling box, 3-level transducer, 4-toggle A, 5-crank connecting link
Mechanism B, 6-servomotor A, 7-servo motor B, 8-electric machine control system, 9-moisture sensor, 10-temperature sensor, 11-
Pressure transducer, 12-control system, 13-display screen, 14-upper thin sheet, 15-lower thin sheet, 16-bolt.
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings.
Cereal moisture percentage on-line measuring device structure and installation diagram in united reaper tanker as depicted in figs. 1 and 2, this
Bright detection device includes grain sampling device and moisture percentage measuring apparatus；Described grain sampling device includes sampling box 2 and takes
Sample controlling organization；Described sampling box 2 includes box body, is positioned at the upper thin sheet 14 above box body and is positioned at the lower thin sheet below box body
15；Described sampling controlling organization includes servomotor A6 and servo motor B 7, toggle A4 and toggle B5；
The two ends of described toggle A4 connect described upper thin sheet 14 and described servomotor A6 respectively；Described servomotor A6 is just
Described upper thin sheet 14 can be driven to close by described toggle A4 when turning, during reversion, drive described upper thin sheet 14 to move
Open；The two ends of described toggle B5 connect described lower thin sheet 15 and described servo motor B 7 respectively；Described servomotor
Described lower thin sheet 15 can be driven to close by described toggle B5 when B7 rotates forward, during reversion, drive described lower thin sheet 15
Remove；
Described moisture percentage measuring apparatus includes sensor unit and control system 12, described control system be single-chip microcomputer and
Peripheral circuit, described sensor unit is connected with described single-chip microcomputer；It is internal that described sensor unit is arranged in described sampling box 2,
Including temperature sensor 10, pressure transducer 11, moisture sensor 9 and level transducer 3；On the one hand described single-chip microcomputer passes through
Electric machine control system 8 controls described servomotor A6 and described servo motor B 7 rotates, and on the other hand receives sensor unit
Signal also carries out process and draws cereal moisture percentage.
The detection device of the present invention also includes support 1 and display screen 13, the integrated horizontal plate of described support 1 and vertical
Plate；Described sampling box 2 is fixed on described horizontal plate by bolt 16；Described servomotor A6, described servo motor B 7 and
Described electric machine control system 8 and described single-chip microcomputer are each attached on described perpendicular plate.Described display screen 13 and described single-chip microcomputer phase
Even, result is shown in real time.
Before and after sampling box 2, the upper-lower position inside panel opens flat recess respectively, makes upper thin sheet, lower thin sheet at crank connecting link
Under the effect of mechanism, in flat recess, carry out straight line drawing and pulling type motion.The plate face of described upper thin sheet is arc, when upper thin sheet 14 closes
During conjunction, grain outlet the corn exported directly above upper thin sheet 14 landing to tanker, will not be deposited on thin plate.Described motor
Control system uses servo-driver.
Described level transducer is arranged on position, distance sampling cassette bottom portion 3/4；Described pressure transducer is arranged on described
On lower thin sheet；Described temperature sensor is arranged on described inboard wall of cartridge；Described moisture sensor is arranged on sampling box inwall.
The detection device of the present invention is fixed on grain box of harvester inwall by the side perpendicular plate of described support 1 and makes to draw
Grain mouth is directed at described sampling box 2.
The hardware circuit composition frame chart of described moisture percentage measuring apparatus is as it is shown on figure 3, main by high-frequency capacitive moisture content
Sensor 9, temperature sensor 10, pressure transducer 11, level transducer 3, signal conditioning circuit, STM32 single-chip microcomputer, touch show
Display screen 13 and power module composition.High-frequency capacitive moisture sensor 9 is according to different former of the dielectric constant of different material
Reason is operated.Under room temperature, the dielectric constant of water is far longer than the dielectric constant of corn (water is 81, and dried grain is about 2).
Along with being continuously increased of grain moisture content, its dielectric constant is also corresponding constantly to be increased.Therefore, if being passed by capacitor type water-containing rate
Sensor indirect detection goes out the dielectric constant of corn, it is possible to derive the moisture content of corn.Temperature sensor 10 is mainly used in adopting
Ambient temperature in collection sampling box 2.Pressure transducer 11 is mainly used in measuring the gravity of corn, owing to the volume in sampling box 2 is protected
Holding constant, gravity and corn volume according to corn can calculate corn bulk density.
Signal conditioning circuit includes oscillating circuit, frequency/voltage change-over circuit, amplifying circuit, filter circuit.High frequency capacitance
Formula moisture sensor transfers the change of dielectric constant between capacitor plate the change of frequency to by oscillating circuit, the frequency of output
Rate signal transfers frequency signal to voltage signal by frequency/voltage change-over circuit and processes for subsequent conditioning circuit.Amplifying circuit is by temperature
Degree sensor, pressure transducer, 3 road voltage signals of frequency/voltage change-over circuit output are amplified, the voltage letter after amplification
Number removing noise signal by filter circuit carries out follow-up data for single-chip microcomputer and processes.
The present invention detects the work process of device and principle is as follows:
S1: fixed by the inwall of the side perpendicular plate of support 1 with tanker by detection device, is arranged in tanker near going out
The position of grain mouth, corn drops into sampling box 2 from grain outlet output, when corn height reaches at sampling box bottom 3/4 (i.e.
When level transducer 3 receives thing position signal), start servomotor A6, servomotor A6 and rotate forward, make the upper thin sheet 14 of sampling box
Closing (time initial, upper thin sheet is removed, and lower thin sheet closes), capacitor type water-containing rate sensor, temperature sensor 10 and pressure pass
Sensor 11 proceeds by measurement, and is exported by measurement signal and carry out data process to follow-up single-chip microcomputer.
S2: after data process terminates, starts servo motor B 7, and servo motor B 7 inverts, and makes the lower thin sheet 15 of sampling box move
Opening, the corn in sampling box 2 utilizes self gravitation to fall.After utilizing Single Chip Microcomputer (SCM) program to carry out software delay 10s, then control to watch
Take motor B rotate forward make lower thin sheet 15 close, controls servomotor A invert make upper thin sheet 14 remove, sample next time and examine
Survey, repeat with this, thus realize real-time online detection.
Wherein, data processing method is: gather three class sensors (temperature sensor, pressure transducer and moisture content sensing
Device) detected by voltage signal, utilize the fuzzy neural network prediction algorithm in Data fusion technique that data are processed.
3 road voltage signals after circuit filters signal after filtering in whole algorithm are as the input of algorithm, containing after data process
Water rate is as output.Owing to input dimension is 3, output data dimension is 1, determines that in neural network structure, input node number is
3, output node number is 1, and drafting membership function number according to input and output node number is 6, so using the net of 3-6-1
Network structure.The detailed process that data process includes:
Netinit, fuzzy neural network are trained.Wherein netinit includes: sets up sample database, arrange net
Network structure, initialize fuzzy neural network parameter, initialize fuzzy membership parameter, sample data is normalized.
Fuzzy neural network training includes: extracts training sample from the most normalized data sample, obscure input parameter
Change processes, calculates the fuzzy membership of each parameter, output calculates, calculates fuzzy membership function width correction value,
Fuzzy membership function center correction value calculates, finally obtains the degree of membership parameter of final correction.With the mould trained
Sticking with paste neutral net to detect cereal moisture percentage, its process includes: input data normalization processes, input parameter is carried out mould
Gelatinizing process, network affiliation degree parameter calculate, obtain moisture content according to degree of membership parameter, are entered on the touchscreen by cereal moisture percentage
Row display in real time.
The a series of detailed description of those listed above is only for the feasibility embodiment of the present invention specifically
Bright, they also are not used to limit the scope of the invention, all equivalent implementations made without departing from skill of the present invention spirit
Or change should be included within the scope of the present invention.
Claims (9)
1. a Combine Harvester Grain water content on-line testing device, it is characterised in that include grain sampling device and aqueous
Rate measurement apparatus；
Described grain sampling device includes sampling box (2) and sampling controlling organization；Described sampling box (2) includes box body, is positioned at box
Upper thin sheet (14) above body and be positioned at the lower thin sheet (15) below box body；Described sampling controlling organization includes servomotor A (6)
With servo motor B (7), toggle A (4) and toggle B (5)；The two ends of described toggle A (6)
Connect described upper thin sheet (14) and described servomotor A (6) respectively；Described servomotor A (6) can pass through described song when rotating forward
Handle linkage A (4) drives described upper thin sheet (14) to close, and drives described upper thin sheet (14) to remove during reversion；Described crank is even
The two ends of linkage B (5) connect described lower thin sheet (15) and described servo motor B (7) respectively；Described servo motor B (7) rotates forward
Time described lower thin sheet (15) can be driven to close by described toggle B (7), drive described lower thin sheet (15) during reversion
Remove；
Described moisture percentage measuring apparatus includes that sensor unit and single-chip microcomputer, described sensor unit are connected with described single-chip microcomputer；
It is internal that described sensor unit is arranged in described sampling box (2), including temperature sensor (10), pressure transducer (11), aqueous
Rate sensor (9) and level transducer (3)；On the one hand described single-chip microcomputer controls described servo electricity by electric machine control system (8)
Machine A (6) and described servo motor B (7) rotate, and on the other hand receive the signal of sensor unit and carry out process and show that corn contains
Water rate.
Combine Harvester Grain water content on-line testing device the most according to claim 1, it is characterised in that also include machine
Seat (1), horizontal plate that described support (1) is integrated and perpendicular plate；Described sampling box (2) is fixed on described by bolt (16)
On horizontal plate；Described servomotor A (6), described servo motor B (7) and described electric machine control system (8) and described monolithic
Machine is each attached on described perpendicular plate.
Combine Harvester Grain water content on-line testing device the most according to claim 1, it is characterised in that described sampling
Before and after box (2), the upper-lower position inside panel opens flat recess respectively, and described upper thin sheet (14), described lower thin sheet (15) are at crank
Straight line drawing and pulling type motion can be carried out in described flat recess under the effect of linkage；The plate face of described upper thin sheet (14) is arranged
For arc, when upper thin sheet closes, the grain of grain outlet output falls in tanker along arcwall face, does not piles up on upper thin sheet；Institute
Stating electric machine control system is servo-driver.
Combine Harvester Grain water content on-line testing device the most according to claim 1, it is characterised in that described thing position
Sensor (3) is arranged on 3/4 position, distance sampling box (2) bottom；Described pressure transducer (11) is arranged on described lower thin sheet
On；Described temperature sensor (10) is arranged on described sampling box inwall；Described moisture sensor (9) is arranged on described sampling box
(2) inwall.
Combine Harvester Grain water content on-line testing device the most according to claim 1, it is characterised in that also include showing
Display screen (13), described display screen (13) is connected with described single-chip microcomputer, shows result in real time；Described display screen is arranged on
In driver's cabin.
6., according to the Combine Harvester Grain water content on-line testing device described in claim 1-5 any one, its feature exists
In, described detection device is fixed on grain box of harvester inwall by the perpendicular plate of described support (1) and makes grain outlet be directed at institute
State sampling box (2).
7. according to the detection side of the Combine Harvester Grain water content on-line testing device described in claim 1-6 any one
Method, it is characterised in that comprise the steps:
S1: detection device is fixed with the inwall of tanker by the side perpendicular plate of support (1), is arranged in tanker near putting out cereal
The position of mouth so that corn drops into sampling box (2) from grain outlet output；When corn height reaches away from sampling box bottom 3/4
During place, starting servomotor A (6), servomotor A (6) rotates forward, and makes the upper thin sheet (14) of sampling box (2) close, capacitor type water-containing
Rate sensor (9), temperature sensor (10) and pressure transducer (11) proceed by measurement, and export measurement signal to list
Sheet machine carries out data process, and result is shown by display screen (13)；
S2: after single-chip microcomputer process terminates, starts servo motor B (7), and servo motor B (7) inverts, and makes the lower thin sheet of sampling box (2)
(15) removing, the corn in sampling box utilizes self gravitation to fall；After time delay a period of time, just then controlling servo motor B (7)
Turn make lower thin sheet close, controls servomotor A (6) invert make upper thin sheet (14) remove, sample detection next time, anti-with this
Multiple.
Detection method the most according to claim 7, it is characterised in that the single-chip microcomputer described in described step S1 carries out data
The method processed is:
Collecting temperature sensor (10), pressure transducer (11) and the signal detected by moisture sensor (9), utilize data
Data are processed by the fuzzy neural network prediction algorithm in integration technology；Concrete processing procedure is as follows:
S1.1: netinit, fuzzy neural network are trained；
Described netinit includes: sets up sample database, arrange network structure, initialize fuzzy neural network parameter, just
Beginningization fuzzy membership parameter, sample data is normalized；
The training of described fuzzy neural network includes: extracts training sample in normalized data sample, carry out input parameter
Fuzzy processing, calculate each parameter fuzzy membership, output calculate, fuzzy membership function width correction value is counted
Calculate, fuzzy membership function center correction value calculated, finally obtains the degree of membership parameter of final correction；
S1.2: detect cereal moisture percentage by the fuzzy neural network trained, its process includes: input data normalization
Process, input parameter is carried out Fuzzy processing, the calculating of network affiliation degree parameter, obtain moisture content according to degree of membership parameter.
Detection method the most according to claim 8, it is characterised in that input node in the structure of described fuzzy neural network
Number is set to 3, and output node number is set to 1, and the number of membership function is set to 6, uses the neural network structure of 3-6-1.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610655109.8A CN106198885B (en) | 2016-08-10 | 2016-08-10 | A kind of Combine Harvester Grain water content on-line testing device and method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610655109.8A CN106198885B (en) | 2016-08-10 | 2016-08-10 | A kind of Combine Harvester Grain water content on-line testing device and method |
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| Publication Number | Publication Date |
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| CN106198885A true CN106198885A (en) | 2016-12-07 |
| CN106198885B CN106198885B (en) | 2019-04-30 |
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| CN201610655109.8A Active CN106198885B (en) | 2016-08-10 | 2016-08-10 | A kind of Combine Harvester Grain water content on-line testing device and method |
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| CN108107049A (en) * | 2018-01-15 | 2018-06-01 | 江苏大学 | Combined harvester tanker seed percentage of impurity and percentage of damage real-time monitoring device and method |
| CN109655589A (en) * | 2019-01-25 | 2019-04-19 | 河南农业大学 | Experimental plot grain yield measuring device and measuring method |
| CN111220662A (en) * | 2020-02-27 | 2020-06-02 | 江苏大学 | Online real-time grain moisture monitoring system and method |
| CN116482310A (en) * | 2023-04-24 | 2023-07-25 | 武汉轻工大学 | Moisture measurement method and device based on concurrent grain drier |
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Effective date of registration: 20200102 Address after: 215200 No. 551 Jiangxing East Road, Wujiang Economic and Technological Development Zone, Suzhou City, Jiangsu Province Patentee after: SUZHOU JIUFU AGRICULTURAL MACHINERY CO., LTD. Address before: Zhenjiang City, Jiangsu Province, 212013 Jingkou District Road No. 301 Patentee before: jiangsu university |