CN103081641A - Tangential-axial combined harvester fault diagnosis method and device thereof - Google Patents
Tangential-axial combined harvester fault diagnosis method and device thereof Download PDFInfo
- Publication number
- CN103081641A CN103081641A CN2013100156871A CN201310015687A CN103081641A CN 103081641 A CN103081641 A CN 103081641A CN 2013100156871 A CN2013100156871 A CN 2013100156871A CN 201310015687 A CN201310015687 A CN 201310015687A CN 103081641 A CN103081641 A CN 103081641A
- Authority
- CN
- China
- Prior art keywords
- flow roller
- plc
- tangential
- module
- combined harvester
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a tangential-axial combined harvester fault diagnosis method and a device of the tangential-axial combined harvester fault diagnosis. The tangential-axial combined harvester fault diagnosis method and the device of the tangential-axial combined harvester fault diagnosis are used for monitoring working status of a tangential-axial combined harvester in real time and conducting pre-alarm of fault in time. The invention relates to the field of agricultural machinery. The device of the tangential-axial combined harvester fault diagnosis comprises a signal collecting module, a programmable logic controller (PLC), a display module, a communication module, a sound-light alarm module, a power source and a reset module. A revolving speed sensor is used for collecting revolving speed signals of a header auger, a conveyor groove, a tangential rotary drum, an axial rotary drum and a grain conveying auger, then a signal conditioning circuit transmits the five channels of revolving speed signals to the PLC, the PLC analyzes and processes the signals, a fault analysis result is obtained and then displayed on the display module, and a sound-light alarm signal is timely sent out by the PLC when the fault occurs. The tangential-axial combined harvester fault diagnosis method and the device of the tangential-axial combined harvester fault diagnosis can achieve automatically monitoring the working status of the tangential-axial combined harvester, effectively save labor, material resources and fund, and improve the reliability of machinery operation.
Description
Technical field
The present invention relates to agricultural mechanical field, refer in particular to a kind of method for diagnosing faults and device thereof be used to cutting vertical stream combine.
Background technology
Along with the progress of modern agricultural technology, to future developments such as large-scale, automatic, efficient and high speeds, in a single day machine breaks down and will cause great economic loss combine.The job failure of combine has the characteristics such as complexity, randomness, diversity, dispersiveness, although scholar both domestic and external has carried out deep, careful research to the agricultural machinery fault diagnosis, in fact still exists many problems in diagnostic procedure.Traditional method for diagnosing faults mainly relies on manpower to complete, and this diagnostic method is inefficiency but also very serious hysteresis quality is arranged not only.Based on such situation, the combine intelligent failure diagnosis method just arises at the historic moment.When breaking down, combine very easily causes the feed blocking of each workpiece, as: defeated grain auger obstruction, Lysimachia sikokiana obstruction, delivery chute obstruction, cutting table auger obstruction, ceding of Taiwan obstruction, blockage of detachment roller.If can not in time take measures after workpiece occurs to stop up, very easily damage combine, reduced the service life of combine, also have influence on agricultural production efficiency; After the grain header fault occured, get rid of to stop up generally all wasted time and energy very much, can cause shutdown maintenance when serious, directly affects the income of harvest season.For above-mentioned situation, propose a kind of intelligent failure diagnosis method of taking the working condition of cutting vertical stream combine is carried out Real-Time Monitoring, and the device that in time fault is carried out early warning and alarming seems particularly important.
The invention provides a kind of vertical stream combine method for diagnosing faults and device thereof cut, can effectively save human and material resources and fund, improve the reliability of mechanical movement.
Summary of the invention
The purpose of this invention is to provide a kind of vertical stream combine method for diagnosing faults and device thereof cut, it can send the signal that gives warning in advance before fault occurs, improve the reliability of combine, promotes passive maintenance to the transformation of trouble saving idea.
The intelligent trouble diagnosis of cutting vertical stream combine is the process of a complexity, for the amount of calculation of the complexity that overcomes traditional algorithm with depend on the deficiency of empirical value unduly, the judgment rule that the present invention proposes is a kind of data processing method of controlling based on the prediction of speed of acceleration, can effectively improve computational speed, have good real-time and realizability.By carrying out to obtain acceleration after differential is processed to the velocity amplitude in the collection certain hour and to them, then can obtain the variation tendency of workpiece rotating speed by the analysis to the accekeration of gained, can realize by the predicted value of calculating gained the purpose of control in real time, reduce hysteresis quality.
Cut vertical stream combine when farm work, there was a mechanical failure causes that very easily the rotating speed of the rotatable parts such as cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder descends for the excessive or drive disk assembly of feed quantity, when dropping to a certain degree, rotating speed will have influence on the operation quality of grain header, sometimes even cause rotatable parts to stop up, cause the operation fault.The present invention with cutting table auger, delivery chute, cut axial-flow type drum, longitudinal axial flow roller and defeated grain screw feeder and carry out accident analysis research as the high fault rate parts of grain header.
The vertical stream combine method for diagnosing faults of cutting that the present invention adopts is:
1) speed probe gathers the tachometer value of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder;
2) import the tach signal that records into PLC, PLC divides signal according to a kind of speed predicting method based on acceleration
Analyse processing, obtain the analysis result of failure predication; The speed predicting method that the present invention adopts is: passing type
Obtain
(K=1,2,3 ...) and
(K=0,1,2 ...) the time interval
The accekeration of interior cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder, wherein:
(K=1,2,3 ...) and
(K=0,1,2 ...) cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and the defeated grain screw feeder that record for sensor exist
Constantly and
Tachometer value constantly, and its
,
(K=1,2,3 ...) be illustrated in
The velocity amplitude of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder constantly;
,
(K=1,2,3 ...) be illustrated in
The velocity amplitude of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder constantly;
Be the time interval between two moment of arbitrary continuation;
,
For
With
The time interval
The accekeration of interior cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder; Then, passing type
Obtain
, wherein:
(K=2,3,4 ...) be illustrated in
The velocity amplitude of moment cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder;
Obtain
Value after, by relatively
Value and the rated speed value of harvester header screw feeder, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder be the measurable grain header duty at lower a moment.The exportable 3 kinds of diagnostic results of the present invention are respectively normal, early warning and warning; Concrete criterion is: when
Value less than the rated speed value 10% the time, result is normal; When
Greater than rated speed 10% and less than rated speed 20% the time, result is early warning; When
Less than rated speed 20% the time, result is for reporting to the police;
3) predictive analysis results is imported in display module by communication module shown;
4) when breaking down, PLC in time sends acousto-optic early warning and alarming signal, and the sounding and lighting alarm module shows acousto-optic early warning and alarming signal.
Cut vertical stream combine trouble-shooter and comprise signal acquisition module, PLC, display module, communication module, sounding and lighting alarm module, power supply and reseting module; Described signal acquisition module comprises speed probe and signal conditioning circuit; Described speed probe is arranged on respectively on the rotating speed output shaft of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and the defeated grain screw feeder of cutting vertical stream combine; Described speed probe imports 5 road tach signals into PLC through signal conditioning circuit after collecting the tach signal of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder, PLC processes data by described speed predicting method based on acceleration, and the result that will obtain by communication module is imported display module into and shown; PLC in time sends acousto-optic early warning and alarming signal simultaneously, and acousto-optic early warning and alarming signal shows in the sounding and lighting alarm module.Described power supply and reseting module provide power supply for PLC and display module, and make PLC and display module realize reset function.
The present invention can monitor the duty of cutting vertical stream combine, and shows the duty of cutting vertical stream combine by display module; In time carry out fault and remind when breaking down, and in time send the sounding and lighting alarm signal; The present invention can realize can effectively saving human and material resources and fund to cutting the automatic monitoring of vertical stream combine working condition, improves the reliability of mechanical movement.
Description of drawings
Fig. 1 is for cutting vertical stream combine fault diagnosis system block diagram.
Fig. 2 is the method for diagnosing faults flow chart that the present invention adopts.
Embodiment
Describe details and the working condition of the concrete device of the present invention's proposition in detail below in conjunction with accompanying drawing.
The concrete course of work of the present invention is as follows: the speed probe that is arranged on the rotating speed output shaft of cutting cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and the defeated grain screw feeder of indulging the stream combine gathers measured signal, by signal conditioning circuit, tach signal is conveyed into PLC, a kind of speed predicting method based on acceleration that PLC proposes according to the present invention carries out analyzing and processing to signal, obtain the accident analysis result, result is shown in display module; When breaking down, PLC in time sends acousto-optic early warning and alarming signal, and the sounding and lighting alarm module shows acousto-optic early warning and alarming signal.The last decision-making that the present invention finally obtains can be divided into three grades: normal, early warning and warning.If judgment result is that normally the green light indicator lamp in the sounding and lighting alarm module can be lighted, combine continues to keep the work at present state to work on; If the result that draws by judgement is early warning, illustrate that grain header work abnormal conditions can occur at once, need the instant pace that reduces, grain header is maintained in normal working range, early warning indicator lamp amber light in the sounding and lighting alarm module can be lighted, and with buzz, reminding driver should reduce pace.If the result that draws by judgement for reporting to the police, illustrates grain header work and break down, need to stop operation and overhaul, the alarm lamp red light in the sounding and lighting alarm module can be lighted, and with buzz, reminding driver stops operation and overhauls.
Claims (3)
1. cut vertical stream combine method for diagnosing faults for one kind, it is characterized in that, concrete steps are:
A) speed probe gathers the tachometer value of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder;
B) import the tach signal that records into PLC, PLC divides signal according to the speed predicting method based on acceleration
Analyse processing, obtain the analysis result of failure predication;
C) predictive analysis results is imported in display module by communication module shown;
D) when breaking down, PLC in time sends acousto-optic early warning and alarming signal, and the sounding and lighting alarm module shows acousto-optic early warning and alarming signal.
2. according to claim 1 a kind of cuts vertical stream combine method for diagnosing faults, it is characterized in that described step B) in be specially based on the speed predicting method of acceleration: passing type
Obtain
(K=1,2,3 ...) and
(K=0,1,2 ...) the time interval
The accekeration of interior cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder, wherein:
(K=1,2,3 ...) and
(K=0,1,2 ...) cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and the defeated grain screw feeder that record for sensor exist
Constantly and
Tachometer value constantly, and its
,
(K=1,2,3 ...) be illustrated in
The velocity amplitude of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder constantly;
,
(K=1,2,3 ...) be illustrated in
The velocity amplitude of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder constantly;
Be the time interval between two moment of arbitrary continuation;
,
For
With
The time interval
The accekeration of interior cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder; Then, passing type
Obtain
, wherein:
(K=2,3,4 ...) be illustrated in
The velocity amplitude of moment cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder; Obtain
Value after, when
Value less than the rated speed value 10% the time, result is normal; When
Greater than rated speed 10% and less than rated speed 20% the time, result is early warning; When
Less than rated speed 20% the time, result is for reporting to the police.
3. indulge stream combine trouble-shooter based on a kind of of claim 1 be used to cutting, it is characterized in that: comprise signal acquisition module, PLC, display module, communication module, sounding and lighting alarm module, power supply and reseting module; Described signal acquisition module comprises speed probe and signal conditioning circuit; Described speed probe is arranged on respectively on the rotating speed output shaft of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and the defeated grain screw feeder of cutting vertical stream combine; Described speed probe imports PLC into through signal conditioning circuit after collecting the tach signal of cutting table auger, delivery chute, cut flow roller, longitudinal axial flow roller and defeated grain screw feeder, PLC processes data by described speed predicting method based on acceleration, and the result that will obtain by communication module is imported display module into and shown; PLC in time sends acousto-optic early warning and alarming signal simultaneously, and acousto-optic early warning and alarming signal shows in the sounding and lighting alarm module; Described power supply and reseting module provide power supply for PLC and display module, and make PLC and display module realize resetting.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2013100156871A CN103081641A (en) | 2013-01-16 | 2013-01-16 | Tangential-axial combined harvester fault diagnosis method and device thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2013100156871A CN103081641A (en) | 2013-01-16 | 2013-01-16 | Tangential-axial combined harvester fault diagnosis method and device thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN103081641A true CN103081641A (en) | 2013-05-08 |
Family
ID=48195189
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2013100156871A Pending CN103081641A (en) | 2013-01-16 | 2013-01-16 | Tangential-axial combined harvester fault diagnosis method and device thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103081641A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104345680A (en) * | 2013-10-21 | 2015-02-11 | 江苏大学 | FNN (Fuzzy Neural Network)-based fault diagnosis method and device of tangential-longitudinal flow combined harvester |
CN104350878A (en) * | 2014-11-27 | 2015-02-18 | 农业部南京农业机械化研究所 | Fault diagnosis method for harvester with longitudinal axial flow roller |
CN104472100A (en) * | 2014-11-27 | 2015-04-01 | 农业部南京农业机械化研究所 | Device for detecting faults of harvester with longitudinal axial flow roller |
CN104142674B (en) * | 2013-10-21 | 2017-01-25 | 江苏大学 | Multi-input fault diagnosis method for combined harvester |
CN106644438A (en) * | 2016-12-19 | 2017-05-10 | 苏州唐氏机械制造有限公司 | Harvester fault early warning and diagnosis system |
CN108040579A (en) * | 2017-12-20 | 2018-05-18 | 广西柳工农业机械股份有限公司 | A kind of intelligence harvesting control system |
CN112042370A (en) * | 2019-06-05 | 2020-12-08 | 丰疆智能科技股份有限公司 | Static pressure drive control system and method of automatic harvester |
CN112268719A (en) * | 2020-09-29 | 2021-01-26 | 河南科技大学 | Remote fault diagnosis method for header of combine harvester |
CN113287410A (en) * | 2021-05-25 | 2021-08-24 | 苏州久富农业机械有限公司 | Remote fault monitoring system of combine harvester |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3583405A (en) * | 1969-04-29 | 1971-06-08 | Deere & Co | Harvester shaft speed monitoring system |
CN1148431A (en) * | 1994-04-15 | 1997-04-23 | 汤姆森-无线电报总公司 | Traffic monitoring method for automatic detection of vehicle-related incidents |
CN101595785A (en) * | 2009-06-23 | 2009-12-09 | 江苏大学 | Combined harvester plugging fault early warning and warning device |
CN102150504A (en) * | 2011-04-01 | 2011-08-17 | 江苏大学 | Method and device for intelligently controlling forward speed of tangential/longitudinal flow combine harvester |
CN102273359A (en) * | 2011-06-01 | 2011-12-14 | 江苏大学 | Self-adaptive anti-blocking control system and control method for tangential and longitudinal flow combine harvester |
-
2013
- 2013-01-16 CN CN2013100156871A patent/CN103081641A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3583405A (en) * | 1969-04-29 | 1971-06-08 | Deere & Co | Harvester shaft speed monitoring system |
CN1148431A (en) * | 1994-04-15 | 1997-04-23 | 汤姆森-无线电报总公司 | Traffic monitoring method for automatic detection of vehicle-related incidents |
CN101595785A (en) * | 2009-06-23 | 2009-12-09 | 江苏大学 | Combined harvester plugging fault early warning and warning device |
CN102150504A (en) * | 2011-04-01 | 2011-08-17 | 江苏大学 | Method and device for intelligently controlling forward speed of tangential/longitudinal flow combine harvester |
CN102273359A (en) * | 2011-06-01 | 2011-12-14 | 江苏大学 | Self-adaptive anti-blocking control system and control method for tangential and longitudinal flow combine harvester |
Non-Patent Citations (1)
Title |
---|
陈进等: "基于PLC的联合收获机作业流程故障诊断方法研究", 《农业机械学报》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104345680A (en) * | 2013-10-21 | 2015-02-11 | 江苏大学 | FNN (Fuzzy Neural Network)-based fault diagnosis method and device of tangential-longitudinal flow combined harvester |
CN104142674B (en) * | 2013-10-21 | 2017-01-25 | 江苏大学 | Multi-input fault diagnosis method for combined harvester |
CN104350878A (en) * | 2014-11-27 | 2015-02-18 | 农业部南京农业机械化研究所 | Fault diagnosis method for harvester with longitudinal axial flow roller |
CN104472100A (en) * | 2014-11-27 | 2015-04-01 | 农业部南京农业机械化研究所 | Device for detecting faults of harvester with longitudinal axial flow roller |
CN104350878B (en) * | 2014-11-27 | 2017-08-04 | 农业部南京农业机械化研究所 | It is a kind of to be used for the method for diagnosing faults of the harvester with longitudinal axial flow roller |
CN104472100B (en) * | 2014-11-27 | 2017-08-15 | 农业部南京农业机械化研究所 | It is a kind of to be used for the detection means of the harvester failure with longitudinal axial flow roller |
CN106644438A (en) * | 2016-12-19 | 2017-05-10 | 苏州唐氏机械制造有限公司 | Harvester fault early warning and diagnosis system |
CN108040579A (en) * | 2017-12-20 | 2018-05-18 | 广西柳工农业机械股份有限公司 | A kind of intelligence harvesting control system |
CN112042370A (en) * | 2019-06-05 | 2020-12-08 | 丰疆智能科技股份有限公司 | Static pressure drive control system and method of automatic harvester |
CN112268719A (en) * | 2020-09-29 | 2021-01-26 | 河南科技大学 | Remote fault diagnosis method for header of combine harvester |
CN113287410A (en) * | 2021-05-25 | 2021-08-24 | 苏州久富农业机械有限公司 | Remote fault monitoring system of combine harvester |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103081641A (en) | Tangential-axial combined harvester fault diagnosis method and device thereof | |
CN203245680U (en) | Lathe tool wear monitoring device based on titanium alloy machining | |
JP6475906B2 (en) | Hulling machine monitoring device | |
CN102804980B (en) | Automatic monitoring and trouble-shooting device for blocking fault of cylinder-type threshing parts | |
CN113287410A (en) | Remote fault monitoring system of combine harvester | |
CN105889054A (en) | Air compressor working environment monitoring system capable of being remotely monitored | |
CN104142674A (en) | Multi-input fault diagnosis method and device for combined harvester | |
CN102680489B (en) | System for on-line detecting holes on surface of strip steel | |
CN104786347B (en) | A kind of control system of compact type vacuum extruder | |
CN102239771B (en) | Integrated monitoring system for combine harvester | |
CN102393698A (en) | Running state monitoring system for large-scale equipment and control method for fault diagnosis thereof | |
CN202366942U (en) | Monitoring system for finish rolling flying shear | |
CN204731021U (en) | Agricultural Machinery Equipment drive failures detects wireless alarm system | |
CN204560264U (en) | Maize harvesting machine automatic monitoring system | |
CN203647939U (en) | Intelligent self-checking system for fire pump | |
CN102090206A (en) | Device for warning blocking of separation roller of combine harvester | |
CN103533568A (en) | Chain online monitoring system based on wireless sensor network | |
CN107678399A (en) | Warning System and method in cutter cutting process | |
CN203699392U (en) | Cut-tobacco making production line with negative-pressure pipeline automatic patrol inspection function | |
CN114393808A (en) | Film blowing equipment with wind energy utilization detection function and internet-based operation management system thereof | |
CN105717862A (en) | Automatic and intelligent magnetic strip threading control system for door seal | |
CN113579836A (en) | Suction detection mechanism for waste edge negative pressure suction pipeline and application method thereof | |
CN205485545U (en) | Absorptivity health supplies production line pronunciation monitored control system | |
CN104345680A (en) | FNN (Fuzzy Neural Network)-based fault diagnosis method and device of tangential-longitudinal flow combined harvester | |
CN201951979U (en) | Tearing alarm device of belt conveyer |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C12 | Rejection of a patent application after its publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20130508 |