联合收割机稻麦收获边界激光在线识别系统设计与试验
针对联合收割机收获边界在线识别问题,利用激光无损探测技术,开发了联合收割机收获边界在线识别系统.首先介绍了系统组成、激光传感器选型及工作原理,将传感器输出数据极坐标转换为直角坐标,建立稻麦轮廓特征数学模型.由于收获过程会产生大量的灰尘,会对激光探测距离及信号反射产生影响.通过与作物特征阈值比较,对受灰尘影响的错误数据进行有效识别与剔除.采用移动平均数字滤波算法,消除系统测量噪声.通过信号阶跃变化模式识别算法,实现了收获边界的在线检测,准确推算出联合收割机作业割幅,并进行了田间试验研究.试验结果表明,该系统可实现在线监测,收获边界测量误差不大于12 cm,可为联合收割机智能监控系统的实际应用提供...
Saved in:
| Published in | 农业工程学报 Vol. 33; no. z1; pp. 30 - 35 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
土壤植物机器系统技术国家重点实验室,北京 100083%中国农业机械化科学研究院,北京,100083%北京理工大学自动化学院,北京,100081
2017
中国农业机械化科学研究院,北京 100083 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2017.z1.005 |
Cover
| Abstract | 针对联合收割机收获边界在线识别问题,利用激光无损探测技术,开发了联合收割机收获边界在线识别系统.首先介绍了系统组成、激光传感器选型及工作原理,将传感器输出数据极坐标转换为直角坐标,建立稻麦轮廓特征数学模型.由于收获过程会产生大量的灰尘,会对激光探测距离及信号反射产生影响.通过与作物特征阈值比较,对受灰尘影响的错误数据进行有效识别与剔除.采用移动平均数字滤波算法,消除系统测量噪声.通过信号阶跃变化模式识别算法,实现了收获边界的在线检测,准确推算出联合收割机作业割幅,并进行了田间试验研究.试验结果表明,该系统可实现在线监测,收获边界测量误差不大于12 cm,可为联合收割机智能监控系统的实际应用提供参考. |
|---|---|
| AbstractList | 针对联合收割机收获边界在线识别问题,利用激光无损探测技术,开发了联合收割机收获边界在线识别系统.首先介绍了系统组成、激光传感器选型及工作原理,将传感器输出数据极坐标转换为直角坐标,建立稻麦轮廓特征数学模型.由于收获过程会产生大量的灰尘,会对激光探测距离及信号反射产生影响.通过与作物特征阈值比较,对受灰尘影响的错误数据进行有效识别与剔除.采用移动平均数字滤波算法,消除系统测量噪声.通过信号阶跃变化模式识别算法,实现了收获边界的在线检测,准确推算出联合收割机作业割幅,并进行了田间试验研究.试验结果表明,该系统可实现在线监测,收获边界测量误差不大于12 cm,可为联合收割机智能监控系统的实际应用提供参考. S375%TP274; 针对联合收割机收获边界在线识别问题,利用激光无损探测技术,开发了联合收割机收获边界在线识别系统.首先介绍了系统组成、激光传感器选型及工作原理,将传感器输出数据极坐标转换为直角坐标,建立稻麦轮廓特征数学模型.由于收获过程会产生大量的灰尘,会对激光探测距离及信号反射产生影响.通过与作物特征阈值比较,对受灰尘影响的错误数据进行有效识别与剔除.采用移动平均数字滤波算法,消除系统测量噪声.通过信号阶跃变化模式识别算法,实现了收获边界的在线检测,准确推算出联合收割机作业割幅,并进行了田间试验研究.试验结果表明,该系统可实现在线监测,收获边界测量误差不大于12 cm,可为联合收割机智能监控系统的实际应用提供参考. |
| Abstract_FL | At present, the combine harvester is developing towards the direction of large scale and high speed. It is more and more difficult to recognize the harvest boundary only by people's eyesight, which is to ensure the consistency of cutting when combine harvester operates. When the harvester works in the field, it usually works in full cutting conditions, which requires the driver has high driving skills, and the whole tracking operations keep for a long time; the labour intensity of the driver and the dust of field work make it difficult to rely on the naked eye to obtain accurate boundary. Combine harvester yield monitoring system is according to the need of harvest cutting and actual speed for real-time calculation of harvest area at home and abroad, and combine harvester yield measuring system mainly relies on the operator's input of harvesting information manually, but the actual harvest is difficult to ensure the full harvest. In the detection of combine harvester's feeding quantity, cut width, density, and speed of operation are needed to measure for the straw obtaining. The automatic driving system of combine harvester can automatically track driving according to the harvest boundary. Therefore, the on-line detection of harvest boundary is important for intelligent monitoring system of combine harvester. Aiming at the problem of on-line recognition of harvesting boundary of combine harvester, an on-line recognition system for harvesting boundary of combine harvester was developed by laser non-destructive detection technology. Firstly, the composition of the system, and the selection and working principle of the laser sensor were introduced, and the polar coordinate of the sensor output data is converted to the right angle coordinate. The laser sensor is a 1D (one-dimensional) scanning laser rangefinder supplied by the SICK company. It uses an infra-red laser beam and it works on the principle of light propagation time measurement. A short luminous impulse is emitted. The luminous ray is then deviated by a revolving mirror and thus covers a half-plane. When the ray meets an obstacle, retro diffused light is collected by the detector. The distance from the sensor to the object is then calculated from the time interval between the emission and the reception of the impulse. As the harvest process will produce a lot of dust, it will have a laser detection distance and signal reflection. The laser ray from the sensor is retro diffused when it meets suspended particles of dust. In consequence, the measured distance is shorter than that separating the top of the vegetation from the rangefinder. Through the comparison with crop characteristic threshold, the error data affected by dust are effectively identified and eliminated. Using moving average digital filtering algorithm, system measurement noise is eliminated. Through the signal step change pattern recognition algorithm, the on-line detection of the harvest boundary is realized, and the cutting amplitude of the combine harvester is calculated accurately. The test results show that the system can realize on-line monitoring, and the measurement error is not more than 12 cm, which can provide reference for the practical application of intelligent monitoring system of combine harvester. |
| Author | 伟利国 张小超 汪凤珠 车宇 孙小文 王紫玮 |
| AuthorAffiliation | [1]中国农业机械化科学研究院,北京 100083,土壤植物机器系统技术国家重点实验室,北京 100083;[2]中国农业机械化科学研究院,北京,100083;[3]北京理工大学自动化学院,北京,100081 |
| AuthorAffiliation_xml | – name: 中国农业机械化科学研究院,北京 100083;土壤植物机器系统技术国家重点实验室,北京 100083%中国农业机械化科学研究院,北京,100083%北京理工大学自动化学院,北京,100081 |
| Author_FL | Che Yu Wang Ziwei Wang Fengzhu Wei Liguo Sun Xiaowen Zhang Xiaochao |
| Author_FL_xml | – sequence: 1 fullname: Wei Liguo – sequence: 2 fullname: Zhang Xiaochao – sequence: 3 fullname: Wang Fengzhu – sequence: 4 fullname: Che Yu – sequence: 5 fullname: Sun Xiaowen – sequence: 6 fullname: Wang Ziwei |
| Author_xml | – sequence: 1 fullname: 伟利国 张小超 汪凤珠 车宇 孙小文 王紫玮 |
| BookMark | eNo9j09LAkEYxudgkJUfIzq5vbMzsztzDKkMhC5CR9m_tlJjuUTpqQ6FgkgHvQnRJaRAoaA_CvplWnf9Fk0YnZ73efnxPDxrKCWr0kNoE4OGsTDZdkULwlBqGEDPGhwLTQdsag2sAbAUSv__V1EmDAMbGCYmAMVplE9uutF9c959j1qv8_44HkwW4ydlk85HMv2Ke-357Dq6bUX9QTyeJaO7qPkSv03iyUMynCbDx-_PTjLqLZ7bG2jFt05CL_On66i4t1vM5bOFw_2D3E4h63CdZX3HERjrHucmA-IbxHRtnWBu-67BLEI52CCw6wsGFvOE7zLXVY5a1KAeEE7W0dYy9tKSviXLpUr1oiZVYUnWy86V_Tu8ofYyRYol6RxXZfk8UOxZLTi1avXSkWtyLkxsKDEMBpRTwZgAKtTFGSE_M-t-BQ |
| ClassificationCodes | S375%TP274 |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2RA 92L CQIGP ~WA 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.11975/j.issn.1002-6819.2017.z1.005 |
| DatabaseName | 中文期刊服务平台 中文科技期刊数据库-CALIS站点 中文科技期刊数据库-7.0平台 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Agriculture |
| DocumentTitleAlternate | Design and experiment of harvest boundary online recognition system for rice and wheat combine harvester based on laser detection |
| DocumentTitle_FL | Design and experiment of harvest boundary online recognition system for rice and wheat combine harvester based on laser detection |
| EndPage | 35 |
| ExternalDocumentID | nygcxb2017z1005 Wd788971678866504849559049484853 |
| GrantInformation_xml | – fundername: 国家国际科技合作专项项目资助 funderid: (2015DFA71560) |
| GroupedDBID | -04 2B. 2B~ 2RA 5XA 5XE 92G 92I 92L ABDBF ABJNI ACGFO ACGFS AEGXH AIAGR ALMA_UNASSIGNED_HOLDINGS CCEZO CHDYS CQIGP CW9 EOJEC FIJ IPNFZ OBODZ RIG TCJ TGD TUS U1G U5N ~WA 4A8 93N ACUHS PSX |
| ID | FETCH-LOGICAL-c825-fcc9112e887503f637db2318bfd65a3480b091df950a5e9fd5dddf94a464e0383 |
| ISSN | 1002-6819 |
| IngestDate | Thu May 29 04:08:34 EDT 2025 Wed Feb 14 10:02:34 EST 2024 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | z1 |
| Keywords | harvesters 激光器 detection laser grain boundaries 收获机 探测 模式识别 割幅 稻麦边界 swath pattern recognition |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c825-fcc9112e887503f637db2318bfd65a3480b091df950a5e9fd5dddf94a464e0383 |
| Notes | 11-2047/S At present, the combine harvester is developing towards the direction of large scale and high speed. It is more and more difficult to recognize the harvest boundary only by people's eyesight, which is to ensure the consistency of cutting when combine harvester operates. When the harvester works in the field, it usually works in full cutting conditions, which requires the driver has high driving skills, and the whole tracking operations keep for a long time; the labour intensity of the driver and the dust of field work make it difficult to rely on the naked eye to obtain accurate boundary. Combine harvester yield monitoring system is according to the need of harvest cutting and actual speed for real-time calculation of harvest area at home and abroad, and combine harvester yield measuring system mainly relies on the operator's input of harvesting information manually, but the actual harvest is difficult to ensure the full harvest. In the detection of combine harvester's feeding quantity |
| PageCount | 6 |
| ParticipantIDs | wanfang_journals_nygcxb2017z1005 chongqing_primary_Wd788971678866504849559049484853 |
| PublicationCentury | 2000 |
| PublicationDate | 2017 |
| PublicationDateYYYYMMDD | 2017-01-01 |
| PublicationDate_xml | – year: 2017 text: 2017 |
| PublicationDecade | 2010 |
| PublicationTitle | 农业工程学报 |
| PublicationTitleAlternate | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationTitle_FL | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationYear | 2017 |
| Publisher | 土壤植物机器系统技术国家重点实验室,北京 100083%中国农业机械化科学研究院,北京,100083%北京理工大学自动化学院,北京,100081 中国农业机械化科学研究院,北京 100083 |
| Publisher_xml | – name: 中国农业机械化科学研究院,北京 100083 – name: 土壤植物机器系统技术国家重点实验室,北京 100083%中国农业机械化科学研究院,北京,100083%北京理工大学自动化学院,北京,100081 |
| SSID | ssib051370041 ssib017478172 ssj0041925 ssib001101065 ssib023167668 |
| Score | 2.1774185 |
| Snippet | 针对联合收割机收获边界在线识别问题,利用激光无损探测技术,开发了联合收割机收获边界在线识别系统.首先介绍了系统组成、激光传感器选型及工作原理,将传感器输出数据极坐标... S375%TP274; 针对联合收割机收获边界在线识别问题,利用激光无损探测技术,开发了联合收割机收获边界在线识别系统.首先介绍了系统组成、激光传感器选型及工作原理,将传感器输... |
| SourceID | wanfang chongqing |
| SourceType | Aggregation Database Publisher |
| StartPage | 30 |
| SubjectTerms | 激光器;稻麦边界;收获机;探测;模式识别;割幅 |
| Title | 联合收割机稻麦收获边界激光在线识别系统设计与试验 |
| URI | http://lib.cqvip.com/qk/90712X/2017z1/Wd788971678866504849559049484853.html https://d.wanfangdata.com.cn/periodical/nygcxb2017z1005 |
| Volume | 33 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: Academic Search Ultimate - eBooks issn: 1002-6819 databaseCode: ABDBF dateStart: 20140101 customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn isFulltext: true dateEnd: 99991231 titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn omitProxy: true ssIdentifier: ssj0041925 providerName: EBSCOhost |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LaxRBEB5CAqIH8YnxRQ72SXadV_d0H3t2ZwmCniLmtszszGxOq8YEdE96UBIIwUNyC4gXCQoJKPhIIPkzbnaDf8Kq7s7smASNXmZ7emqqvqpqtqp7u2st65YLYyIJvLySs4RXfCdhlTjJeYXRVt7KvIx5AZ5GvnefTT7w707T6ZHRn6VdS_NzSbXVPfZcyf94FfrAr3hK9h88WzCFDmiDf-EKHobriXxMIg6ZIBE-iSgRNuGcRAxvQ4Y9XJDQVT01EkoSBURyEoYkEngrWYkY-EQkDLARQkMgsQAONaQJG7gfAhkqniirhqyABvjAU3hLAo0WCu1QPfKUrACvQtNEyFw3pEMiEK3k6tdBHACTEoSWM2bFU6mg6YXEHoAqqdGIh9gj60YjDqrRg3GkXqop-Rqahh-SsD4koUgilYYhGFFhBaPwEhcwgoPYkAsI9VE0EEp7SALvaAgU9TPx3ayn6IOjauwb82lE0lO8GF55XTEVCmPhMyAWB7Y-ZFClKjpGEctGoZmBgH4VCNdwdpVf1SMRFbY2PQDAVW3oEYEyG9ixdttR6TNxqTG_rP8m5rBnCtygkovWNByZ8hWMKafkqwCNLpQtQWcNF7V1j4UCnSUwR57igLXNGDSjg6JWIHQokSvvaTdKZdYCXkFzEgxOKZZjsGfcRGQT7HXVFfOl1nVKodv8PKiTQF1C52h6IQKq8gsUUC0E4A7RoNp1qrZNh3lVsdu187zdepYgTddR9ZbHXFw8HLXGZFgPG8PZi4MLNEV4dbFIBRuuBlDHw_-iKHaw4f4NqjZzGBinLHIA8s6fIGIZmZlHnfYTSI7VWcVOHnfapbR66px11syHJ6T-cjtvjXRnLlhnZHvW1ATKLlqTg5crvTcLeytfeouf9ta2-uvb-1vv4Xaw_HWw872_urS3-6L3arG3tt7f2h1svu4tfOx_3u5vvx1s7Aw23v34tjzYXN3_sHTJmmpEU7XJivkDmEqLu7SSt1qQirkZ5EHU9nIIG2kCRuFJnjIaez5EGZjtpLmgdkwzkac0TeHOj33mZ7bHvcvWaOdRJ7tiTSR2ikUB3DgJmI81M2OeJKkTxC3mcyfLxi23MEnzsa7z03yYBpxjiT34YDCT9bmP9TpVRS0fpjnj1oSxXdMEhafNQ76--neSa9ZpbOtl3evW6NzsfHYDJjpzyU0zQH4BcPL6pg |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E8%81%94%E5%90%88%E6%94%B6%E5%89%B2%E6%9C%BA%E7%A8%BB%E9%BA%A6%E6%94%B6%E8%8E%B7%E8%BE%B9%E7%95%8C%E6%BF%80%E5%85%89%E5%9C%A8%E7%BA%BF%E8%AF%86%E5%88%AB%E7%B3%BB%E7%BB%9F%E8%AE%BE%E8%AE%A1%E4%B8%8E%E8%AF%95%E9%AA%8C&rft.jtitle=%E5%86%9C%E4%B8%9A%E5%B7%A5%E7%A8%8B%E5%AD%A6%E6%8A%A5&rft.au=%E4%BC%9F%E5%88%A9%E5%9B%BD&rft.au=%E5%BC%A0%E5%B0%8F%E8%B6%85&rft.au=%E6%B1%AA%E5%87%A4%E7%8F%A0&rft.au=%E8%BD%A6%E5%AE%87&rft.date=2017&rft.pub=%E5%9C%9F%E5%A3%A4%E6%A4%8D%E7%89%A9%E6%9C%BA%E5%99%A8%E7%B3%BB%E7%BB%9F%E6%8A%80%E6%9C%AF%E5%9B%BD%E5%AE%B6%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4%2C%E5%8C%97%E4%BA%AC+100083%25%E4%B8%AD%E5%9B%BD%E5%86%9C%E4%B8%9A%E6%9C%BA%E6%A2%B0%E5%8C%96%E7%A7%91%E5%AD%A6%E7%A0%94%E7%A9%B6%E9%99%A2%2C%E5%8C%97%E4%BA%AC%2C100083%25%E5%8C%97%E4%BA%AC%E7%90%86%E5%B7%A5%E5%A4%A7%E5%AD%A6%E8%87%AA%E5%8A%A8%E5%8C%96%E5%AD%A6%E9%99%A2%2C%E5%8C%97%E4%BA%AC%2C100081&rft.issn=1002-6819&rft.volume=33&rft.issue=z1&rft.spage=30&rft.epage=35&rft_id=info:doi/10.11975%2Fj.issn.1002-6819.2017.z1.005&rft.externalDocID=nygcxb2017z1005 |
| thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90712X%2F90712X.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fnygcxb%2Fnygcxb.jpg |