CN108073159A - A kind of fault identification device for combined harvester - Google Patents
A kind of fault identification device for combined harvester Download PDFInfo
- Publication number
- CN108073159A CN108073159A CN201711290012.2A CN201711290012A CN108073159A CN 108073159 A CN108073159 A CN 108073159A CN 201711290012 A CN201711290012 A CN 201711290012A CN 108073159 A CN108073159 A CN 108073159A
- Authority
- CN
- China
- Prior art keywords
- module
- fault
- data
- tractor
- identification device
- 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.)
- Withdrawn
Links
Classifications
-
- 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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of fault identification device for combined harvester, include the failure analysis module of tractor, harvesting apparatus body, fault detection module and connecting fault detection module；The fault detection module obtains tractor fault data by using sensor；Data set is sent to failure analysis module；The failure analysis module is that data message is handled based on comparative analysis principle, is sorted out and is stored after analyzing data.By on tractor dynamic power device and on harvesting apparatus body fault monitor module, failure analysis module Combine Harvester being set to be monitored in real time, by the way that normal operation data are compared and analyzed with monitoring data, machine operation state is judged.The invention can preferably grasp tractor component operating status, take out solution in time, improve equipment operating efficiency.
Description
Technical field
The present invention relates to a kind of agricultural machinery technological field, more particularly to a kind of fault identification for combined harvester fills
It puts.
Background technology
At present, there are many fault identification device of combined harvester, and mechanical oscillation detection method is that mechanical breakdown field is commonly used
One of monitoring method, but fault detection method and species are largely dependent on to machine based on mechanical oscillation detection method
Research emphasis is mostly placed on mechanical oscillation signal by the processing of tool vibration signal and analysis ability, existing mechanical Fault Monitoring of HV method
Acquisition and analysis method on, however the mechanical failure diagnostic method, designed by accident analysis and diagnostic method very great Cheng
Degree is depending on statistics and probability analysis, and there is no specific sensing or monitoring devices.Just so, mechanical fault detection method has
There is larger limitation, it is impossible to be monitored and analyzed for specific face.
Therefore, it is necessary to combined harvester fault identification device in the prior art is improved to solve above-mentioned technology to ask
Topic.
The content of the invention
In view of this, it is an object of the invention to provide a kind of fault identification device for combined harvester, effectively carry
Its high work efficiency.It is realized in particular by following technical scheme：
The fault identification device for combined harvester of the present invention, including tractor, harvesting apparatus body, fault detect
The failure analysis module of module and connecting fault detection module；The fault detection module obtains tractor by using sensor
Fault data；Data set is sent to failure analysis module；The failure analysis module is to data based on comparative analysis principle
Information is handled, and is sorted out and is stored after analyzing data.
Operation principle is：By the way that fault detection module is moved on combining device, respectively to tractor and harvest
Device body carries out real-time induction monitoring, and the data message monitored is sent to failure analysis module through data transmission device carries out
Analysis judges, and handling result is transferred to driver or maintenance personal.
Further, the fault detection module include the dynamic monitoring module being monitored to tractor dynamic power device,
The body monitoring module and connection body monitoring module, the data transmission of dynamic monitoring module be monitored to harvesting apparatus body
Module.
Further, the failure analysis module includes the memory module A of storage normal operation parameter value, storage monitoring letter
Cease the memory module B of data and connection memory module A, the control module of memory module B, the failure analysis module and data
Transport module connects.
Further, it is additionally provided in the control module and judges tractor body and harvesting apparatus body with the presence or absence of event
The judgment module of barrier.
Further, the dynamic monitoring module set on power set monitoring contact to power set operating status into
Row monitoring, the body monitoring module at least set two, and body monitoring module is to harvesting apparatus body different structure or portion
Part is monitored.
Further, it is provided with to show the display screen and voice broadcast of harvesting apparatus operating status on the tractor
Device, the display screen, sound broadcasting device are connected with control module.
Beneficial effects of the present invention：The fault identification device for combined harvester of the present invention, by dilatory motor-driven
Fault monitor module, failure analysis module is set to supervise joint harvesting apparatus in real time on power apparatus and on harvesting apparatus body
It surveys, by the way that normal operation data are compared and analyzed with monitoring data, judges machine operation state.The invention can be better
The operating status of each component of combining device is grasped, takes out solution in time, improves equipment operating efficiency.The present invention its
His advantageous effect will be further described in specific embodiment below.
Description of the drawings
The invention will be further described with reference to the accompanying drawings and examples：
Fig. 1 is the circuit operation logic block diagram of the present invention.
Specific embodiment
As shown in Figure 1：The fault identification device for combined harvester in the present embodiment, of the invention receives for combining
The fault identification device of machine is obtained, the event including tractor, harvesting apparatus body, fault detection module and connecting fault detection module
Hinder analysis module；The fault detection module obtains tractor fault data by using sensor；Data set is sent to event
Hinder analysis module；The failure analysis module is that data message is handled based on comparative analysis, after analyzing data
Sorted out and stored.
By the way that fault detection module is moved on combined harvester, tractor and harvesting apparatus body are carried out respectively real
When induction monitoring, the data message monitored is sent to failure analysis module through data transmission device and judged, analyze, and will
Handling result is transferred to driver or maintenance personal and formulates solution by it.
In the present embodiment, the fault detection module includes the dynamic monitoring mould being monitored to tractor dynamic power device
Block, the body monitoring module being monitored to harvesting apparatus body and connection body monitoring module, the data of dynamic monitoring module
Transport module.The dynamic monitoring module sets monitoring contact to be monitored power set operating status on power set,
The body monitoring module at least sets two, and body monitoring module supervises harvesting apparatus body different structure or component
It surveys.
It is monitored for power set setting dynamic monitoring module, by setting monitoring contact on power set, touches
Sensor is provided in point, the monitoring network by point and face is formed by each sensor, power set progress is supervised in all directions in real time
Control, by setting at least two body monitoring modules on harvesting apparatus body, which may be employed sensor, also may be used
To use video monitor.Such as body monitoring module is set at rice shoot extracting apparatus, sampling point is carried out to extracting apparatus
Analysis；Body monitoring module can also be set in the stock storehouse of harvesting apparatus, grain in storehouse or inventory are monitored；May be used also
Blowing device is monitored on the blower system of cropper with being set in, whether grasp blower system is intact, and then grasps
It whether harvests in grain containing impurity, vegetation shred etc..
In the present embodiment, the failure analysis module includes the memory module A of storage normal operation parameter value, storage monitoring
The memory module B of information data and connection memory module A, the control module of memory module B, the failure analysis module and number
It is connected according to transport module.It is additionally provided in the control module and judges that tractor body and harvesting apparatus body whether there is failure
Judgment module.It is provided with to show the display screen and sound broadcasting device of harvesting apparatus operating status on the tractor,
The display screen, sound broadcasting device are connected with control module.
The data message of acquisition is compared with the normal operation data set in memory module A, grasping should
Combined harvester whether there is potential failure, and passes through data transmission module and analysis result is transmitted in control module, if depositing
It is then prompted in potential fault message by display screen and sound broadcasting device, so as to maintenance personal's timely processing, in time
Solution is taken out, improves work efficiency.
Finally illustrate, the above embodiments are merely illustrative of the technical solutions of the present invention and unrestricted, reference preferably reality
Example is applied the present invention is described in detail, it will be understood by those of ordinary skill in the art that, it can be to the technical side of the present invention
Case is modified or replaced equivalently, and without departing from the objective and scope of technical solution of the present invention, should all be covered in the present invention
Right among.
Claims (6)
1. a kind of fault identification device for combined harvester, it is characterised in that：Including tractor, harvesting apparatus body, event
Hinder the failure analysis module of detection module and connecting fault detection module；
The fault detection module obtains tractor fault data by using sensor；Data set is sent to accident analysis mould
Block；
The failure analysis module is that data message is handled based on comparative analysis principle, is carried out after analyzing data
Sort out and store.
2. the fault identification device according to claim 1 for combined harvester, it is characterised in that：The fault detect
Module includes the dynamic monitoring module being monitored to tractor dynamic power device, the body prison being monitored to harvesting apparatus body
Control module and connection body monitoring module, the data transmission module of dynamic monitoring module.
3. the fault identification device according to claim 2 for combined harvester, it is characterised in that：The accident analysis
Module includes the memory module A of storage normal operation parameter value, the memory module B for storing monitoring information data and connection storage
The control module of modules A, memory module B, the failure analysis module are connected with data transmission module.
4. the fault identification device according to claim 3 for combined harvester, it is characterised in that：The control module
In be additionally provided with the judgment module for judging that tractor body and harvesting apparatus body whether there is failure.
5. the fault identification device according to claim 4 for combined harvester, it is characterised in that：The dynamic monitoring
Module sets monitoring contact to be monitored power set operating status on power set, and the body monitoring module is at least set
Two are put, body monitoring module is monitored harvesting apparatus body different structure or component.
6. the fault identification device according to claim 5 for combined harvester, it is characterised in that：On the tractor
It is provided with to show the display screen and sound broadcasting device of harvesting apparatus operating status, the display screen, sound broadcasting device
It is connected with control module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711290012.2A CN108073159A (en) | 2017-12-08 | 2017-12-08 | A kind of fault identification device for combined harvester |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711290012.2A CN108073159A (en) | 2017-12-08 | 2017-12-08 | A kind of fault identification device for combined harvester |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108073159A true CN108073159A (en) | 2018-05-25 |
Family
ID=62158018
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711290012.2A Withdrawn CN108073159A (en) | 2017-12-08 | 2017-12-08 | A kind of fault identification device for combined harvester |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108073159A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112268719A (en) * | 2020-09-29 | 2021-01-26 | 河南科技大学 | Remote fault diagnosis method for header of combine harvester |
| CN113291234A (en) * | 2021-04-29 | 2021-08-24 | 安徽泗州拖拉机制造有限公司 | Tractor trouble early warning system based on thing networking |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2325968Y (en) * | 1997-04-11 | 1999-06-30 | 张立功 | Falt prealarming device for combine |
| CN1439241A (en) * | 2002-01-10 | 2003-09-03 | 迪尔公司 | Method for monitoring agricultural mechanical apparatus |
| CN102090206A (en) * | 2010-12-10 | 2011-06-15 | 浙江大学 | Device for warning blocking of separation roller of combine harvester |
| CN203772318U (en) * | 2014-04-11 | 2014-08-13 | 张德 | Combine-harvester working state intelligent monitoring and warning device |
| CN105660038A (en) * | 2016-01-22 | 2016-06-15 | 济南大学 | Intelligent maize combine harvester fault monitoring system based on DSP |
-
2017
- 2017-12-08 CN CN201711290012.2A patent/CN108073159A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2325968Y (en) * | 1997-04-11 | 1999-06-30 | 张立功 | Falt prealarming device for combine |
| CN1439241A (en) * | 2002-01-10 | 2003-09-03 | 迪尔公司 | Method for monitoring agricultural mechanical apparatus |
| CN102090206A (en) * | 2010-12-10 | 2011-06-15 | 浙江大学 | Device for warning blocking of separation roller of combine harvester |
| CN203772318U (en) * | 2014-04-11 | 2014-08-13 | 张德 | Combine-harvester working state intelligent monitoring and warning device |
| CN105660038A (en) * | 2016-01-22 | 2016-06-15 | 济南大学 | Intelligent maize combine harvester fault monitoring system based on DSP |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112268719A (en) * | 2020-09-29 | 2021-01-26 | 河南科技大学 | Remote fault diagnosis method for header of combine harvester |
| CN113291234A (en) * | 2021-04-29 | 2021-08-24 | 安徽泗州拖拉机制造有限公司 | Tractor trouble early warning system based on thing networking |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106791633A (en) | Intelligence invigilator's system and method | |
| US9475189B2 (en) | Multi-robot crop harvesting machine | |
| CN104122865B (en) | Agricultural machine fault analyzing and maintaining method and system | |
| CN108073159A (en) | A kind of fault identification device for combined harvester | |
| CN104731081B (en) | For the method and system device of high-power locomotive vehicle-mounted data dump analysis | |
| EP1927830A3 (en) | Device for overall machine tool monitoring | |
| CN105691761B (en) | The method and its device of a kind of small-sized agricultural product automatic sorting vanning | |
| CN110651728B (en) | Piglet pressed detection method, device and system | |
| CN106789243B (en) | A kind of IT operational system with intelligent trouble analytic function | |
| CN108768753A (en) | Localization method, device, storage medium and the electronic device of alarm source | |
| CN105894383A (en) | Internet-of-Things-based system and method for insuring against fire hazards | |
| CN111929299A (en) | Agricultural product planting analysis and management system based on machine vision | |
| CN111717753A (en) | Self-adaptive elevator fault early warning system and method based on multi-dimensional fault characteristics | |
| CN106769154A (en) | A kind of method for the monitoring of plant equipment operating noise | |
| EP1503329A3 (en) | Method and system for determining whether a situation is logically true or false upon occurrence of an event | |
| CN103763143A (en) | Method and system for equipment abnormality alarming based on storage server | |
| CN107395687A (en) | Monitoring method, device, system and the air-conditioning of equipment | |
| Ranjan et al. | Detection and localisation of farm mangoes using YOLOv5 deep learning technique | |
| WO2000045310A3 (en) | System for real-time monitor and response | |
| DE102021106067A1 (en) | REAL-TIME DETECTION OF BELT FAILURE | |
| CN106540886A (en) | A kind of tire Automated Sorting System | |
| CN107466591A (en) | A kind of intelligent corn processing equipment and its method of work | |
| CN112965449A (en) | Safety monitoring system based on meat stew in soy sauce processing line | |
| CN106875317A (en) | Pollution of area source regional pollution factor information management system and management method | |
| CN107872521A (en) | A kind of safe protection of building site system and its method of work based on stereoscopic grid |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180525 |
|
| WW01 | Invention patent application withdrawn after publication |