Present Situation and Prospect of Residual Stress Modelling Technology in Metal Cutting

Zhang, Wei; Cheng, Xiao; Zheng, Min; Zhang, Zhao Xing; Wang, Shu Qi

doi:10.4028/www.scientific.net/msf.800-801.601

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…The continuous development of information and communication technology (ICT) has pushed various industries towards intelligence, and intelligence has also promoted agricultural production [5,7]. Through the use of modern IoT equipment, smart greenhouses can achieve accurate analysis of crops and their surrounding environmental parameters [6,7], to achieve precise fertilizer application, irrigation, and other operations, which is of great significance in improving agricultural production efficiency [8,9].…”

Section: Conventionalmentioning

confidence: 99%

Design of Crop Irrigation Decision-Making System Based on ZigBee Technology

Sheng,

Li,

Han

et al. 2023

Int. J. Robot. Autom. Technol.

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To promote the high-quality development of agriculture, meet the needs of agricultural products grown in greenhouses, and achieve precise monitoring of greenhouse plants, a small greenhouse micro-environment multi-parameter monitoring system was designed and implemented. The system consists of three parts: a monitoring node, a gateway node, and a remote management platform. The monitoring node used the ESP32 microcontroller as the main control chip, combined ZigBee technology, and embedded different sensors to complete the collection and transmission of environmental parameters. In the gateway node, the 4G Data Transfer Unit module was used as the carrier, and the communication protocol was used to realize data communication between the monitoring terminal and the gateway. The remote management platform was based on the PyCharm development platform. It used the PyQt5 graphical user interface (GUI) toolkit to complete the design of the host computer monitoring platform, establish a database, and realize the storage and analysis of environmental parameters. The remote management platform embedded the crop reference evapotranspiration, online calculation model, to provide irrigation decisions for greenhouse crop management and improve the applicability and accuracy of irrigation decisions. After the experimental test platform was built to test the system communication distance, communication reliability, control reliability, and data reliability, the small greenhouse micro-environment multi-parameter monitoring system designed in this paper can operate stably for a long time. Its functions meet the expected requirements and are in line with modern requirements for multi-parameter monitoring of smart greenhouses.

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Section: Conventionalmentioning

confidence: 99%

Design of Crop Irrigation Decision-Making System Based on ZigBee Technology

Sheng,

Li,

Han

et al. 2023

Int. J. Robot. Autom. Technol.

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show abstract

“…To solve the problems of maintenance intensity and safety in limited mining space, the development of long-distance intelligent supply technology based on the concept of "space decoupling" has been rapidly developed. It also puts higher requirements on longdistance intelligent control technology [3] . In recent years, researchers have carried out research on long-distance intelligent control.…”

Section: Introductionmentioning

confidence: 99%

Long-distance intelligent liquid supply for coal mining faces based on liquid demand prediction

Wen-shu

Lai

et al. 2023

J. Phys.: Conf. Ser.

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The coal mine pump station liquid supply system adapts to changes in the main pressure for supply, but under conditions of long-distance liquid supply beyond 2000 m, there is a problem with the difficult system response to the hydraulic support liquid demand, resulting in significant pressure fluctuations in the hydraulic system and serious performance degradation of the supply system. To solve this problem, a long-distance intelligent liquid supply method based on liquid demand prediction for coal mining faces is proposed to ensure stable liquid supply. The method integrates parameters such as the mining machine’s position, the hydraulic support’s column pressure before and after the mining machine, the forward travel distance, and action codes to construct a feature vector. Based on the Transformer Model, a Liquid Demand Prediction Model for hydraulic support is established. Attention mechanisms are combined to solve the problem of time prediction for long sequences. The model is validated using real measured data from a hydraulic system in a coal mine, and the experimental results show that the model can accurately predict liquid demand and achieve long-distance intelligent liquid supply for coal mining faced by combining pump station control strategies.

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Present Situation and Prospect of Residual Stress Modelling Technology in Metal Cutting

Cited by 2 publications

References 18 publications

Design of Crop Irrigation Decision-Making System Based on ZigBee Technology

Design of Crop Irrigation Decision-Making System Based on ZigBee Technology

Long-distance intelligent liquid supply for coal mining faces based on liquid demand prediction

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