Surface Subsidence Prediction Method for Coal Mines with Ultrathick and Hard Stratum
نویسندگان
چکیده
منابع مشابه
Fossil hunting in coal mines.
At the northern tip of Colombia, Jonathan Bloch hunts for fossils in the midst of spontaneous combustion fires, noxious gases laced with foul-smelling sulfur, rock-shattering explosions, and some of the largest machines in the world. “It is a weird place to work,” Bloch admits, an associate curator of vertebrate paleontology at the FloridaMuseum of Natural History, although he says he feels saf...
متن کاملAdjusting the influence function method for subsidence prediction
The extraction of ore and minerals by underground mining may induce ground subsidence phenomena. These phenomena produce several types of ground movement like horizontal and vertical displacements, ground curvature and horizontal ground strain at the surface, and associated building damage in urban regions. The influence function is a well-known and efficient method for the prediction of these ...
متن کاملCoal Mines Monitoring and Security System
Based on continuous revolution of coal mining technology,this paper puts forward a project about safety monitoring system of coal mine using Zigbee technology and RS485 interface. A system is designed using group of sensors which monitors the different environmental condition in underground mines and if value exceeds from threshold value, then the Miners are informed through Alarm. Another modu...
متن کاملControl and management of coal mines with control information systems
This paper presents the study of control and management of technological processes in coal mines through means for displaying information. Information flow in the analysed closed systems consists of production process in an Underground Coal Mine (UCM), Computer System (CS), Display Units (DUs), Operators (Os) and Control Devices (CD). The mathematical model is applied for describing information...
متن کاملApplication of rule-based models for seismic hazard prediction in coal mines
The paper presents results of application of a machine learning method, namely the induction of classification and regression rules, for seismic hazard prediction in coal mines. The main aim of this research was to verify if machine learning methods would be able to predict seismic hazard more accurately than methods routinely used in Polish coal mines on the basis of data gathered by monitorin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Civil Engineering
سال: 2019
ISSN: 1687-8086,1687-8094
DOI: 10.1155/2019/3714381