CN109618637A - A kind of harvester for peanut intelligent observing and controlling system based on cloud platform - Google Patents
A kind of harvester for peanut intelligent observing and controlling system based on cloud platform Download PDFInfo
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- CN109618637A CN109618637A CN201910117951.XA CN201910117951A CN109618637A CN 109618637 A CN109618637 A CN 109618637A CN 201910117951 A CN201910117951 A CN 201910117951A CN 109618637 A CN109618637 A CN 109618637A
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- peanut
- harvester
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- data
- clamping chain
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- 235000017060 Arachis glabrata Nutrition 0.000 title claims abstract description 86
- 235000010777 Arachis hypogaea Nutrition 0.000 title claims abstract description 86
- 235000018262 Arachis monticola Nutrition 0.000 title claims abstract description 86
- 235000020232 peanut Nutrition 0.000 title claims abstract description 86
- 241001553178 Arachis glabrata Species 0.000 title 1
- 244000105624 Arachis hypogaea Species 0.000 claims abstract description 85
- 235000013399 edible fruits Nutrition 0.000 claims abstract description 28
- 238000013480 data collection Methods 0.000 claims abstract description 21
- 244000025254 Cannabis sativa Species 0.000 claims abstract description 19
- 230000007246 mechanism Effects 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 5
- 238000006073 displacement reaction Methods 0.000 claims description 4
- 239000000203 mixture Substances 0.000 claims description 4
- 238000000926 separation method Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000003306 harvesting Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 6
- 230000000903 blocking effect Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 230000004927 fusion Effects 0.000 description 2
- 208000037805 labour Diseases 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 230000032258 transport Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 238000010516 chain-walking reaction Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013340 harvest operation Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000010338 mechanical breakdown Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000005622 photoelectricity Effects 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01D—HARVESTING; MOWING
- A01D29/00—Harvesters for peanuts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
Abstract
Harvester for peanut intelligent observing and controlling system based on cloud platform of the invention, harvester for peanut is made of rack, power mechanism, digger blade, peanut pickup, transmission device, picker, fruit grass elevator frame, grass cutting collection box and fruit-collecting box, be characterized in that: harvester for peanut intelligent observing and controlling system is made of data collection system, GPRS data transceiver module, sound light alarming circuit, Cloud Server and control centre, and data collection system is to excavating depth, clamping chain state and plucks fruit motor, elevator motor, roller, belt speed and measures;The monitoring of harvester for peanut is realized in control, the alarm signal and control instruction that control centre issues are issued to data collection system.Harvester for peanut intelligent observing and controlling system of the invention, and sound-light alarm can be issued when there is unusual service condition, it handles it convenient for driver, the generation for avoiding operation failure avoids the damage of harvester for peanut while guaranteeing harvesting peanut efficiency, beneficial effect is significant, is suitable for the application of popularization.
Description
Technical field
The present invention relates to a kind of harvester for peanut intelligent observing and controlling system based on cloud platform, more specifically, more particularly to
A kind of harvester for peanut intelligent observing and controlling system based on cloud platform that the links of harvester for peanut can be monitored.
Background technique
Along with the development of mechanization of agriculture, more and more rural labors gradually pass through agricultural machinery to complete, for example
Previous receipts peanut operation is gradually replaced by large-scale harvester for peanut, and to solve, labor intensity is big, working efficiency is low
The problem of.However existing harvester for peanut is during farm work, the shadow different by soil property, peanut vine spacing is different
It rings, and causes mechanical breakdown, as harvester for peanut belt pulley set is skidded, the clamping chain blocking in transmission device, picker
In most common failure when being farm work of roller blocking, pickup blocking and belt fracture, once above-mentioned failure occurs, will
It makes a big impact to the harvest operation of peanut.Currently, traditional peanut harvesting machinery the degree of automation is not high, lack to harvest
The functions such as machine operation operating condition real-time monitoring and fault diagnosis processing, are completely dependent on the experience of cropper driver to judge, to driving
The operative skill for the person of sailing is more demanding.
The invention mainly has studied the harvester for peanut key operation component based on multisource data fusion, as belt,
Roller, pickup, fruit hayloft and each rotatable parts operating condition on-line monitoring technique, for the profiling of harvester for peanut ground, shelves
The control problems such as position regulation, pick-up bench lifting devise control strategy.By cloud platform and multisource data fusion technology, to drive
Member's offer harvester for peanut job parameter real-time monitoring and unusual service condition sound-light alarm, handle it in time convenient for driver,
Avoid the generation of operation failure.
Summary of the invention
The present invention in order to overcome the shortcomings of the above technical problems, provide it is a kind of can links to harvester for peanut into
The harvester for peanut intelligent observing and controlling system based on cloud platform of row monitoring.
Harvester for peanut intelligent observing and controlling system based on cloud platform of the invention, harvester for peanut by rack, power mechanism,
Digger blade, peanut pickup, transmission device, picker, fruit grass elevator frame, grass cutting collection box and fruit-collecting box composition, 4 angles of rack
On be provided with traveling wheel, for power mechanism for driving harvester for peanut to be walked, digger blade and peanut pickup are set to rack
Front end, transmission device be used for by peanut pickup pick up come the peanut vine with fruit be transmitted in picker, transmit
Clamping chain is provided in device;It is provided with the belt pulley set for separating peanut with peanut vine on picker, plucks fruit dress
Cut flow roller and vertical stream roller are centered;Grass cutting collection box, fruit-collecting box are both secured on picker, and fruit grass elevator frame will pluck fruit
Peanut, the peanut vine of device output are transported in fruit-collecting box and grass cutting collection box respectively;It is characterized by: harvester for peanut intelligent testing
Control system is made of data collection system, GPRS data transceiver module, sound light alarming circuit, Cloud Server and control centre, sound
Optical alarm circuit and GPRS data transceiver module are connected with data collection system, and it is deep that the data collection system is connected with excavation
Degree sensor, clamping chain motor rotational speed sensor, plucks fruit motor rotational speed sensor, elevator frame motor at clamping chain clogging sensor
Speed probe, drum rotation speed sensor and tread speed sensor, to be blocked respectively to the excavating depth of digger blade, clamping chain
State, clamping chain motor rotary speed are plucked fruit motor rotary speed, elevator motor rotary speed, drum rotation speed, the belt speed of service and are measured;
The data that data collection system obtains are uploaded to Cloud Server through gsm wireless mobile network, and Cloud Server deposits received data
After storage and processing and it is uploaded to control centre, data realize the monitoring to harvester for peanut, control based on the received for control centre
The alarm signal and control instruction that center issues are issued to data collection system through Cloud Server.
Harvester for peanut intelligent observing and controlling system based on cloud platform of the invention, the data collection system is by core processing
Device and 4 data collector compositions, data collector are communicated through CAN bus and core processor, and core processor is not by
Same data collector detects motor rotary speed, clamping chain blockage, pickup situation and roller situation.
Harvester for peanut intelligent observing and controlling system based on cloud platform of the invention, the excavating depth sensor are compiled by photoelectricity
Code device composition, photoelectric encoder are set on the rotation angle mechanism of digger blade;The clamping chain clogging sensor is respectively set by 3
Displacement sensor in clamping chain front end, middle part and rear end forms, and the GPRS data transceiver module uses model ME3000_
The communication chip of V2.
Harvester for peanut intelligent observing and controlling system based on cloud platform of the invention is provided with vibration below the picker
It is dynamic to sieve, residual seedling collecting box is provided with below vibrating screen.
The beneficial effects of the present invention are: the harvester for peanut intelligent observing and controlling system of the invention based on cloud platform, data are adopted
Collecting system by sensor realize to excavating depth, clamping chain blocked state, clamping chain motor rotary speed, pluck fruit motor rotary speed,
The detection of elevator motor rotary speed, drum rotation speed, the belt speed of service, and the data of acquisition are uploaded to cloud through mobile radio network
Platform is retransmited to control centre after being stored and processed by cloud platform to data, by control centre to harvester for peanut
Operating status is monitored, and sound-light alarm can be issued when there is unusual service condition, is handled it, is avoided in time convenient for driver
The generation of operation failure avoids the damage of harvester for peanut while guaranteeing harvesting peanut efficiency to the maximum extent, beneficial
Significant effect is suitable for the application of popularization.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the harvester for peanut in the present invention;
Fig. 2 is the circuit diagram of the harvester for peanut intelligent observing and controlling system of the invention based on cloud platform;
Fig. 3 is the systematic schematic diagram of the harvester for peanut intelligent observing and controlling system of the invention based on cloud platform.
In figure: 1 rack, 2 traveling wheels, 3 power mechanisms, 4 peanut pickups, 5 transmission devices, 6 pickers, 7 belt pulleys
Group, 8 vibrating screens, 9 residual seedling collecting boxs, 10 fruit grass elevator framves, 11 discharge ports, 12 grass cutting collection boxes, 13 fruit-collecting boxs, 14 driver's cabins, 15 liquid
Press pump;16 data collection systems, 17 excavating depth sensors, 18 clamping chain clogging sensors, 19 clamping chain motor rotary speeds sensing
Device, 20 pluck fruit motor rotational speed sensor, 21 elevator frame motor rotational speed sensors, 22 drum rotation speed sensors, 23 belt speeds biography
Sensor, 24 data collectors, 25 core processors, 26 Cloud Servers, 27 control centres, 28 GPRS data transceiver modules.
Specific embodiment
The invention will be further described with embodiment with reference to the accompanying drawing.
As shown in Figure 1, giving the structural schematic diagram of the harvester for peanut in the present invention, by rack 1, traveling wheel 2, move
Force mechanisms 3, digger blade, peanut pickup 4, transmission device 5, picker 6, belt pulley set 7, vibrating screen 8, residual seedling collecting box 9,
Fruit grass elevator frame 10, discharge port 11, grass cutting collection box 12, fruit-collecting box 13, driver's cabin 14 form, and rack 1, which serves, to be fixed and supported, machine
It is provided with traveling wheel 2 on four angles of frame 1, power mechanism 3 is set in rack 1, and power mechanism 3 passes through to traveling wheel 2
Drive the walking to realize harvester for peanut.Digger blade and peanut pickup 4 are set to the front end of rack 1, and digger blade is used for will
At under the peanut shovel held together in field, the peanut under shoveling is picked up by peanut pickup 4, and is transported to the front end of transmission device 5.
Picker 6 is set to 1 middle part of rack, and the peanut vine with fruit is delivered in picker 6 by transmission device 5,
Clamping chain is provided on transmitting device 5, clamping chain is driven by clamping chain motor, to transport the peanut vine with fruit to plucking fruit
In device 6.Belt pulley set 7, cut flow roller and vertical stream roller are provided on picker 6, to realize peanut and peanut vine
Separation.Vibrating screen 8 is set to the lower section of picker 6, and the lower section of vibrating screen 8 is provided with residual seedling collecting box 9,12 sum aggregate of grass cutting collection box
Fruit case 13 is all set in the top of picker 6, and peanut, the peanut vine after separation are transported to collection by fruit grass elevator frame 10 respectively
Collection and storage in fruit case 13 and grass cutting collection box 13, after realizing the separation of peanut and peanut vine.
As shown in Figures 2 and 3, the harvester for peanut intelligent observing and controlling system of the invention based on cloud platform is set forth
Circuit diagram and systematic schematic diagram, by data collection system 16, GPRS data transceiver module 28, sound light alarming circuit 29,
Cloud Server 26 and control centre 27 form, and data collection system 16 has the work of signal acquisition, data operation and control output
With data collection system 16 is connected with excavating depth sensor 17, clamping chain clogging sensor 18, clamping chain motor rotary speed sensing
Device 19 plucks fruit motor rotational speed sensor 20, elevator frame motor rotational speed sensor 21, drum rotation speed sensor 22 and belt speed biography
Sensor 23, with respectively to the excavating depth of digger blade, clamping chain blocked state, clamping chain motor rotary speed, pluck fruit motor rotary speed, rise
Fortune motor rotary speed, drum rotation speed, the belt speed of service measure.
Data collection system 16 is connected with GPRS data transceiver module 28, so that the sensing data of acquisition to be uploaded to
In Cloud Server 26, the running state data of the harvester for peanut of 26 pairs of Cloud Server uploads is stored and processed, and passes through
Internet network is sent to control centre 27, and control centre 27 realizes according to the running state data of acquisition to harvester for peanut
Monitoring, when judge harvester for peanut there are failure or it is abnormal when, then send warning message and control instruction to Cloud Server
26, then warning message and control instruction are issued to data collection system 16 by Cloud Server 26, with alert and phase
The control instruction answered.
Data collection system 16 can be made of core processor 25 and 4 data collector 24, and data collector 24 is through CAN
Bus is communicated with core processor 25, and core processor 25 is stifled to motor rotary speed, clamping chain by different data collectors
Plug-like condition, pickup situation and roller situation are detected.
Excavating depth sensor 17 is made of photoelectric encoder, and photoelectric encoder is set on the rotation angle mechanism of digger blade,
Current excavating depth is determined according to the pulse number that corner generates.By two pulse output lines of photoelectric encoder through CAN mould
The CAN interface of access controller after block conversion.When digger blade moves up and down, rotating forward can be accordingly generated on photoelectric encoder
Or the pulse of reversion, pulse number is counted, the accurate location of corresponding digger blade out.According to Machine Design, digger blade is most
The corner generated on the rotation angle mechanism of its support when big stroke is 15 °, and photoelectric encoder can correspond to 83 pulse indexing of generation
Value.Accordingly, it can be deduced that the current excavating depth of digger blade, and belt slippage, roller blocking, pickup is combined to block, is secondary
Situations such as pick-up bench blocks rationally adjusts hydraulic cylinder position, achievees the purpose that adjust digger blade excavating depth.
Clamping chain clogging sensor 18 is respectively arranged at the displacement sensor group of clamping chain front end, middle part and rear end by 3
At, when the average value of 3 displacement sensors is smaller, illustrates that peanut seedling vine amount is few, can continue to work normally, when 3 be displaced
When the average value of sensor is moderate, illustrates that current peanut seedling vine is in normal magnitude, keep current working status, is displaced when 3
When the average value of sensor is bigger, illustrate that seedling vine clamping amount is larger, then improves clamping chain running speed to high speed value, should issue
Overload alarm, stopping clamping chain, which transports, to be handled,.
GPRS data transceiver module 28 uses the communication chip of model ME3000_V2.It is taken as cropper terminal and cloud
The transceiver of business device and the transmission of cropper management and running centre data, GPRS wireless module are mainly the data forwarding acquisition
And Internet is accessed, it is subsequently sent to cloud and takes in device and receive data and traffic order that operation finishes from cloud service.
Cloud Server 26 is based on WindowsServer2008 server operating system, in Windows Server 2008
In, all Power Management Setups are enabled by group policy.Cloud host carries out writing for host computer by C#, uses in C#
To Scoket network programming and SQL2008 database programming, wherein Scoket is used to carry out the transmitting work of message, SQL
2008 are substantially carried out the storage of message and retrieval work.Cloud takes the implementation procedure at device end, the ICP/IP protocol and GPRS of Scoket
Interconnection, cloud host receive the processing and forwarding that data carry out data, receive data and judge whether data meet agreement later
Protocol specification message is decomposed if message is effective.Longitude and latitude stores up after the message such as oil mass are decomposed according to receiving time
It is stored in the database built up, the confirmation signal of a message sink is then returned to mobile unit, Cloud Server passes through network
Confirming electrical connection status equipment it is whether online.If equipment is online for a long time but does not have message, or repeatedly receives and do not meet
The message of agreed specifications then judges that equipment fault can give a warning.
Claims (4)
1. a kind of harvester for peanut intelligent observing and controlling system based on cloud platform, harvester for peanut by rack (1), power mechanism (3),
Digger blade, peanut pickup (4), transmission device (5), picker (6), fruit grass elevator frame (10), grass cutting collection box (12) sum aggregate fruit
Case (13) forms, and is provided with traveling wheel (2) on 4 angles of rack, and power mechanism is excavated for driving harvester for peanut to be walked
Shovel and peanut pickup are set to the front end of rack, and transmission device is used for the peanut with fruit for picking up peanut pickup to take
Seedling is transmitted in picker, and clamping chain is provided in transmission device;It is provided on picker for by peanut and peanut
The belt pulley set (7) of seedling separation, is provided with cut flow roller and vertical stream roller in picker;Grass cutting collection box, fruit-collecting box are both secured to
On picker, the peanut that picker exports, peanut vine are transported in fruit-collecting box and grass cutting collection box by fruit grass elevator frame respectively;
It is characterized by: harvester for peanut intelligent observing and controlling system is by data collection system (16), GPRS data transceiver module (28), acousto-optic
Warning circuit (29), Cloud Server (26) and control centre (27) composition, sound light alarming circuit and GPRS data transceiver module with
Data collection system is connected, and the data collection system is connected with excavating depth sensor (17), clamping chain clogging sensor
(18), clamping chain motor rotational speed sensor (19), pluck fruit motor rotational speed sensor (20), elevator frame motor rotational speed sensor
(21), drum rotation speed sensor (22) and tread speed sensor (23), with stifled to the excavating depth of digger blade, clamping chain respectively
Plug-like state, clamping chain motor rotary speed are plucked fruit motor rotary speed, elevator motor rotary speed, drum rotation speed, the belt speed of service and are surveyed
Amount;The data that data collection system obtains are uploaded to Cloud Server through gsm wireless mobile network, and Cloud Server is by received data
After storage and processing and it is uploaded to control centre, data realize the monitoring to harvester for peanut, control based on the received for control centre
The alarm signal and control instruction that center processed issues are issued to data collection system through Cloud Server.
2. the harvester for peanut intelligent observing and controlling system according to claim 1 based on cloud platform, it is characterised in that: the number
It is made of according to acquisition system (16) core processor (25) and 4 data collectors (24), data collector is through CAN bus and core
Heart processor communicates, and core processor is by different data collectors to motor rotary speed, clamping chain blockage, pickup
Situation and roller situation are detected.
3. the harvester for peanut intelligent observing and controlling system according to claim 1 or 2 based on cloud platform, it is characterised in that: institute
It states excavating depth sensor (17) to be made of photoelectric encoder, photoelectric encoder is set on the rotation angle mechanism of digger blade;It is described
The displacement sensor that clamping chain clogging sensor (18) is respectively arranged at clamping chain front end, middle part and rear end by 3 forms, described
GPRS data transceiver module (28) uses the communication chip of model ME3000_V2.
4. the harvester for peanut intelligent observing and controlling system according to claim 1 or 2 based on cloud platform, it is characterised in that: institute
It states and is provided with below picker (6) vibrating screen (8), residual seedling collecting box (9) is provided with below vibrating screen.
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CN201910117951.XA CN109618637A (en) | 2019-02-15 | 2019-02-15 | A kind of harvester for peanut intelligent observing and controlling system based on cloud platform |
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CN108012647A (en) * | 2018-02-02 | 2018-05-11 | 山东源泉机械有限公司 | Fruit combined harvester is plucked in one pickup of cultivating peanut |
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CN209628103U (en) * | 2019-02-15 | 2019-11-15 | 山东省计算中心(国家超级计算济南中心) | A kind of harvester for peanut intelligent observing and controlling system |
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2019
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CN102349390A (en) * | 2011-07-06 | 2012-02-15 | 华南农业大学 | Crop stubble digging harvester |
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CN205567135U (en) * | 2016-03-07 | 2016-09-14 | 鞍山星启数控科技有限公司 | Corn harvester numerical control system |
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