which machine is used to detect coal in the soil

A new machine vision detection method for identifying and ... Springer

A new machine vision detection method for identifying and ... Springer

Large foreign object transporting by coal mine conveyor belt may lead to production safety hazards. To reduce safety accidents during coal mining, a large foreign object detection method based on machine vision is proposed in this paper. An adaptive weighted multiscale Retinex (MSR) image enhancement algorithm is proposed to improve the captured image quality of the belt conveyor line. An ...

Lead isotopes a new tool for tracking coal ash | ScienceDaily

Lead isotopes a new tool for tracking coal ash | ScienceDaily

October 22, 2019. Source: Duke University. Summary: Scientists have developed a forensic tracer that uses lead isotopes to detect and measure coal fly ash in dust, soil and sediments. Tests show ...

Assessment of soil microbial and enzyme activity in the rhizosphere ...

Assessment of soil microbial and enzyme activity in the rhizosphere ...

Background Land use/cover and management practices are widely known to influence soil organic matter (SOM) quality and quantity. The present study investigated the effect of different land use,, forests viz. mixed forest cover (MFC), Prosopis juliflora (Sw.) DCdominated forest cover (PFC), and cultivated sites viz. agriculture field (AF), vegetable field (VF), respectively, on soil ...

Updated Pipeline Standards Advance Effective Leak Detection

Updated Pipeline Standards Advance Effective Leak Detection

API is proactively integrating modern technology and developing standards to advance safe and responsible natural gas and oil production in addition to complying with regulations as part of a shared goal of zero incidents and reduced emissions. This is illustrated by two recently published API standards related to leak detection in liquid pipelines intended to help operators reduce the risk of ...

Lead Isotopes Provide New Tool for Tracking Coal Ash in Dust, Soil and ...

Lead Isotopes Provide New Tool for Tracking Coal Ash in Dust, Soil and ...

But tracking the presence of coal ash in dust has been a challenge for scientists. Until now. Researchers at Duke University and the University of North Carolina Chapel Hill have developed a new forensic tracer that uses lead isotopes to detect coal fly ash in dust and other solids, including soil and sediments.

The Evolution of Thermal Conductivity and Pore Structure for Coal under ...

The Evolution of Thermal Conductivity and Pore Structure for Coal under ...

The freezing and melting law of coal under the impact of liquid nitrogen is the key to judge the state of coal and the evolution of pores and fractures. Therefore, this paper directly measures the temperature propagation law of coal under liquid nitrogen cold socking through experiment. 2. Methodology.

Automated processing of thermal imaging to detect COVID19

Automated processing of thermal imaging to detect COVID19

Second, the cutoffs used for our thermal scores to detect COVID19 and lung injury were optimized for this specific study cohort, and need to be adjusted in future multicenter trials with larger ...

Remote Sensing | Free FullText | Detection of Coal Fire ... MDPI

Remote Sensing | Free FullText | Detection of Coal Fire ... MDPI

Borehole temperature measurements were the primary tool used to detect underground coal fires until 1963, when the United States began to use thermal remote sensing (TIR) techniques to detect and monitor coal fires [6,15,19]. Since then, TIR has proven to be a reliable and useful tool for identifying and monitoring underground coal fires.

Use of ground penetrating radar in underground coal mining

Use of ground penetrating radar in underground coal mining

The main goal of the work was to determine whether a radarbased system could be used to detect coalrock interfaces in order to establish a suitable mining horizon within the coal seam.

Coal mining | Definition, History, Types, Facts | Britannica

Coal mining | Definition, History, Types, Facts | Britannica

Coal is the most abundant fossil fuel on Earth. Its predominant use has always been for producing heat energy. It was the basic energy source that fueled the Industrial Revolution of the 18th and 19th centuries, and the industrial growth of that era in turn supported the largescale exploitation of coal deposits. Since the mid20th century, coal has yielded its place to petroleum and natural ...

Coal Analysis and Coal Quality Monitoring Thermo Fisher Scientific

Coal Analysis and Coal Quality Monitoring Thermo Fisher Scientific

Online and AtLine elemental analyzers are used to measure the composition of coal in realtime and proactively address process variations to ensure more consistent coal blends. The analyzer mounts around an existing conveyor belt or adjacent to a main conveyor with an inline coal sampling unit to continuously monitor coal quality.

Research on soil moisture prediction model based on deep learning

Research on soil moisture prediction model based on deep learning

Based on this, taking the Beijing area as the research object, the deep learning regression network (DNNR) with big data fitting capability was proposed to construct a soil moisture prediction model. By integrating the dataset, analyzing the time series of the predictive variables, and clarifying the relationship between features and predictive ...

Toxic Metal an overview | ScienceDirect Topics

Toxic Metal an overview | ScienceDirect Topics

Toxic metals are typically present in "free" quantities in biological systems due to the presence of tiny biological ligands that can form mixed aquabioligand complexes with metals. In vivo complex formation reactions often take the form of ligand or metal exchange reactions involving hazardous metals and chelating agents [17].The equilibrium constant and complex formation are extremely ...

Finding oil and natural gas deep underground | MIT Energy Initiative

Finding oil and natural gas deep underground | MIT Energy Initiative

In the search for new sources of oil and natural gas, energy companies are guided by evidence gleaned from huge arrays of data gathered by sending sound waves deep into the ground. At MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), experts in machine learning and computer vision are developing mathematical tools that ...

Strategies to address coal minecreated environmental issues ... Springer

Strategies to address coal minecreated environmental issues ... Springer

Mining of coal around the world is being continued to meet the evergrowing energy demand. Mining involves extensive clearing of ground cover, change in physiography, generation of massive solid and liquid wastes to reach coal and thereby alters ecology and environment of the mining site as well as the neighboring areas. Depending on the nature, origin and seam arrangement of a coal reserve ...

Coal mining Wikipedia

Coal mining Wikipedia

A coal mining car at Lackawanna Coal Mine in Scranton, Pennsylvania Coal miners exiting a winder cage at a mine near Richlands, Virginia in 1974 Surface coal mining in Wyoming, A coal mine in Frameries, Belgium. Coal mining is the process of extracting coal from the ground or from a mine. Coal is valued for its energy content and since the 1880s has been widely used to generate electricity.

Belt Tear Detection for Coal Mining Conveyors MDPI

Belt Tear Detection for Coal Mining Conveyors MDPI

The belt conveyor is the most commonly used conveying equipment in the coal mining industry. As the core part of the conveyor, the belt is vulnerable to various failures, such as scratches, cracks, wear and tear. Inspection and defect detection is essential for conveyor belts, both in academic research and industrial applications. In this paper, we discuss existing techniques used in ...

Coal mine area monitoring method by machine learning and ... ResearchGate

Coal mine area monitoring method by machine learning and ... ResearchGate

Other researchers [83] [84][85][86][87] used ML models to segment coal types (classified by different fixed carbon content in coal) [83], geology type (bituminous coal, lignite, sandstone, soil ...

Characterization of soil mineralogy by FTIR: application to the ...

Characterization of soil mineralogy by FTIR: application to the ...

Aims The objective of this paper was to develop a method based on infrared spectroscopy to compare mineral content in soils and apply it to evaluate soil mineralogical variations in pairs of interpatch and patch soils in a semiarid area. Methods Mixtures of several minerals were analyzed by infrared spectroscopy, the second derivative of the spectra was calculated and the spectra normalized ...

The Smart Soil Organism Detector: An instrument and machine learning ...

The Smart Soil Organism Detector: An instrument and machine learning ...

2. Materials and Substrate subtraction. To be able to detect soil organisms against a background of varied substrates, we simulated recovery ofH. bacteriophora entomopathogenic nematode (EPN) infective juveniles (IJs) from sand and muck soil solutions. The sand was autoclaved playground sand (Lowes) and the soil, high organic matter muck soil collected from Oswego, NY and autoclaved.

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