Study on control strategy of the vine clamping conveying system in the peanut combine harvester

Chen, Mingdong; Zhai, Xinting; Zhang, Huan; Yang, Ranbing; Wang, Dongwei; Shuqi, Shang

doi:10.1016/j.compag.2020.105744

Cited by 11 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…. , y n , the value of the function for any point in the interpolation interval can be calculated using the Lagrangian polynomial shown in Equation (8).…”

Section: Data Cleaning Stagesmentioning

confidence: 99%

“…, y n are the corresponding value to the known time points. In our study, the 10th-order sliding Lagrangian interpolation method was selected, and 5 data before and after the missing point were taken as the interpolation interval, which is brought into Equation (8) to finally achieve the interpolation of x.…”

Section: Data Cleaning Stagesmentioning

confidence: 99%

“…In addition to constructing models based on mechanical structures, some studies rely on other types of models to diagnose blockage faults. For example, Chen et al [8] established a mathematical model of the hydraulic system based on the physical properties of the hydraulic system. Based on an analysis of the relationship between travel speed and the clogging pressure valve, a logic threshold control strategy was proposed to prevent blockage caused by excessive travel speed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage

et al. 2023

View full text Add to dashboard Cite

Accurately diagnosing blockages in a threshing cylinder is crucial for ensuring efficiency and quality in combine harvester operations. However, in terms of blockage diagnostic methods, the current state of affairs is characterized by model-based approaches that can be highly time-consuming and difficult to implement, while data-driven approaches lack interpretability. To address this situation, we propose a temporal association rule mining (TARM)-based fault diagnosis method for identifying threshing cylinder blockages and discovering knowledge. This study performs field trials by varying the actual feed rate and obtains datasets for three blockage classes (slight, moderate, and severe). Firstly, a symbolic aggregate approximation (SAX) method is employed to reduce the data dimensionality and to construct the transaction set with a sliding window. Next, a cSpade method is used to mine and extract strong association rules by applying improved support, confidence, and lift indicators. With the established strong association rules, this study can comprehensively elucidate the variation pattern of each characteristic under several blockage failure conditions and can effectively identify blockage faults. The results demonstrate that the proposed method effectively distinguishes between three levels of blockage faults, achieving an overall diagnostic accuracy of 0.94. And the method yields precisions of 0.90, 0.92, and 0.99 and corresponding recalls of 0.90, 0.93, and 0.98 for slight, medium, and severe levels of blockage faults, respectively. Specifically, the knowledge acquired from the extracted strong association rules can effectively explain the operational characteristics of a combine harvester when its threshing cylinders are blocked. Furthermore, the proposed approach in this study can provide a reasonable and reliable reference for future research on threshing cylinder blockages.

show abstract

“…. , y n , the value of the function for any point in the interpolation interval can be calculated using the Lagrangian polynomial shown in Equation (8).…”

Section: Data Cleaning Stagesmentioning

confidence: 99%

Section: Data Cleaning Stagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The device mainly completes the processes of crop supporting, digging, clamping and conveying, and tapping the root system to remove soil, etc. (Chen et al, 2020;Zhai et al, 2020). It is composed of three parallel and identical structures, and after completing the series of processes, it is collected and conveyed to the fruit picking operation.…”

Section: Design Of Key Devices For Three-ridge Six-row Peanut Combine...mentioning

confidence: 99%

Design and Experiment of a Three-Ridge Six-Row Peanut Combine Harvester Based on Deep Integration of Agricultural Machinery and Agronomy

GAO

Shang

et al. 2022

INMATEH

Self Cite

View full text Add to dashboard Cite

In order to improve the efficiency of peanut harvesting in China, realize the deep integration of agricultural machinery and agronomy in peanut production and promote the development of peanut industry. According to the research on peanut planting agronomy and plant biological characteristics, this paper focuses on the analysis of the clamping and collecting scheme of the three-ridge six-row peanut combine harvester, and designs the structure of the clamping and collecting device to solve the situation that the peanut clamping and collecting process is prone to congestion under large feeding volume. By analysing the forces on the peanut plant, the structure of the core fruit picking device has been designed, and the factors and parameters affecting the effectiveness of the peanut picking operation have been optimised through experimental research using the peanut leakage and crushing rates as indicators. The whole machine structure of the three-ridge six-row peanut combine harvester was designed to ensure that the peanut combine harvester can complete the processes of harvesting, digging, clamping and conveying, soil removal, collecting, fruit picking, cleaning and fruit collection at one time. Finally, through field tests on the three-ridge six-row peanut combine harvester, it was verified that the peanut leakage rate was 1.92% and the crushing rate was 0.84% at different forward speeds, and all of them were congested, which met the national peanut harvesting standards.

show abstract

“…This paper addresses the problem that peanut picking devices with large feed volumes can produce blockage and entanglement, resulting in low peanut picking rates and high breakage rates, and optimizes the design and picking performance of the peanut picking device structure (Omori H et al, 2008). The EDEM software was used to simulate and analyze the peanut picking process to determine the optimum operating parameters of the picking device, thereby achieving an improved peanut picking rate and reduced breakage rate and also providing a theoretical basis for the study of peanut picking devices with large feed volumes (Shmulevich I et al, 2010;Xie G J et al, 2012;Chen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Optimized Design and Testing of a Peanut-Picking Device With a Large Feeding Volume

LI,

SHANG,

et al. 2023

INMATEH

Self Cite

View full text Add to dashboard Cite

For a peanut picking device with a feeding rate greater than 5 kg/s, the problem of low picking rate and high damage rate will occur during the picking process. A discrete element model is developed to determine the range of values of the main influencing factors affecting the peanut picking device. A three-factor, three-level orthogonal combination test was carried out with feeding volume, drum speed, and peanut picking gap as test factors to investigate the effects of the main influencing factors on the quality of peanut picking operation of the peanut picking device. The results of the field trials showed that the best results were achieved at the optimum combination of drum speed of 508 r·min-1, peanut picking gap of 22 mm, and feeding volumes of 6.3 kg/s. At this time, the peanut picking rate was 99.17%, and the peanut breakage rate was 0.91, meeting the standard technical requirements for mechanized peanut harvesting. The study results provide a theoretical basis for further enhancing the development of peanut combine harvesting equipment.

show abstract

Study on control strategy of the vine clamping conveying system in the peanut combine harvester

Cited by 11 publications

References 10 publications

Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage

Knowledge Discovery and Diagnosis Using Temporal-Association-Rule-Mining-Based Approach for Threshing Cylinder Blockage

Design and Experiment of a Three-Ridge Six-Row Peanut Combine Harvester Based on Deep Integration of Agricultural Machinery and Agronomy

Optimized Design and Testing of a Peanut-Picking Device With a Large Feeding Volume

Contact Info

Product

Resources

About