在线一本码道高清

Position: Home > Book Manual > Data Download > Coal Mine Books > Application of Jig Detection Technology and Intelligent Method Research

Research on Application of Jig Detection Technology and Intelligent Method

Bookmark this page
  • Data size: 6.38 MB
  • Data language: Chinese version
  • Document format: PDF document
  • Data category: coal mine books
This site recommends:
Related Information:
Related instructions:
  • basic introduction
Research on the application of jig detection technology and intelligent methodsPublished time: 2010 edition Brief introduction "Application of jig detection technology and intelligent method research" The system discusses the application of jig coal separator detection technology and intelligent methods. The content mainly includes Mechanism of jig coal preparation, analysis of testing mechanism of γ-ray detection system, software / hardware design of the detection system, analysis of the layered state of the jig machine layer, and use of AR model to predict the trend of density data, and then to bed looseness Make estimates and establish adjustment rules for related parameters. According to the measured bed density data, the relevant control parameters of the coal preparation machine were modified accordingly using the acquired expert knowledge. "Research on the Application of Jig Detection Technology and Intelligent Methods" can be used as a reference for senior undergraduates of electronic information majors and related scientific researchers.
Chapter 1 Introduction
1.1 Topic selection background and research status at home and abroad
1.2 Intelligent Control Strategy of Jig Process
1.2.1 Intelligent control of industrial processes
1.2.2 Implementation plan of control strategy Chapter 2 Main issues to be considered in jig coal preparation control
2.1 Working Process of Jig
2.2 Layer layering status and sorting effect
2.2.1 Distribution of particles with different densities in the bed
2.2.2 Impact of layering status on sorting effect
2.2.3 Influence of bed looseness on stratified state
2.2.4 Impact of pulsating current on stratified state
2.2.5 Influence of discharge on layered state
2.3 Representation of coal density
2.4 Coal composition and characteristic parameters
2.5 γ-ray detection material density mechanism
2.5.1 Principle of density measurement
2.5.2 Determination of the distance d between the source and the receiver Chapter 3 Principle and design of the detection system
3.1 Photon counting principle
3.1.1 Noise Performance of Photomultiplier Tubes
3.1.2 Poisson distribution of photon emission
3.1.3 Photoelectron Pulse Stacking Effect
3.2 Photon counter
3.2.1 Photodetector
3.2.2 Preamp
3.2.3 Discriminator
3.2.4 Counting method
3.3 Anti-interference design of the system
3.3.1 Interference source analysis
3.3.2 Photocoupler isolation measures
3.3.3 Selection of Photocoupler Chapter 4 Experimental Research and Design of Detection System
4.1 Hardware composition of the detection system
4.2 Determination of the threshold voltage of the discriminator
4.2.1 Threshold determination method
4.2.2 Hardware composition
4.2.3 Experimental process and data analysis
4.3 Laboratory Experiment Design
4.3.1 Analysis of experimental results
4.3.2 Experimental Conclusions Chapter 5 Field Application of Detection System
5.1 System hardware design
5.1.1 Installation of radio source device
5.1.2 Connection of detection equipment
5.1.3 Main Equipment Introduction
5.2 System software design
5.2.1 Software composition
5.2.2 Program Design
5.2.3 Determination of density formula
5.2.4 Graphical analysis of bed density
5.2.5 issues to pay attention to in design
5.3 Measurement of Bed Looseness
6.1 Data acquisition
6.2 Data analysis and processing
6.2.1 Analysis of density sample data
6.2.2 Analysis of sample data in different states
6.2.3 Bed state characterization based on data analysis
6.2.4 Characterization of Loose State
6.3 Parameter modeling of time signal series
6.3.1 Parameter modeling
6.3.2 Model of time signal series
6.3.3 Time-domain modeling
6.3.4 Coefficient estimation of AR model
6.4 AR Modeling and Simulation of Density Data
6.4.1 AR Modeling Based on MATLAB
6.4.2 Determination of order
6.4.3 Solving Coefficients Chapter 7 Design of Jig Automatic Control Based on Expert System
7.1 Expert System Introduction
7.1.1 Knowledge-based expert system
7.1.2 Basic composition of expert system
7.1.3 Knowledge representation method of expert system
7.2 Basic Principles and Structure of Expert Control System
7.2.1 Features and Basic Principles of Expert Control System
7.2.2 Basic Structure of General Control Expert System
7.2.3 Classification of Expert Control System
7.3 Design of Jig Automatic Control Based on Expert System
7.3.1 Sources of Expert System Knowledge
7.3.2 Overall System Design
7.3.3 Establishment of Expert Knowledge and Control Rules
7.4 Establishment of database of damper parameters and density values
7.4.1 Establishment of Damper Parameter Database
7.4.2 Establishment of Density Value Database
7.4.3 Database Access
7.4.4 Establishing the connection between Activex data objects and data sources Chapter 8 Conclusions and Prospects Appendix 1 Appendix 1 Mass absorption coefficients and atomic weights of common elements Appendix 2 References for 200 sets of density data

跳汰机检测技术的应用及智能方法研究 Research on Application and Intelligent Method of Jig Testing Technology

Download Ranking

Latest information