Remote Monitoring and Online Debugging Method of Diagonal Recursive Neural Network Control System
A recursive neural network and control system technology, applied in the field of remote monitoring and online debugging, can solve the problems that the system is limited to the local area network and the debugging process is opaque, and achieve the effect of improving the sharing of control resources and expanding the scope of application
Active Publication Date: 2019-06-07
FUZHOU UNIV
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0007] In view of this, the object of the present invention is to provide a remote monitoring and online debugging method for a diagonal recursive neural network control system, which is used to solve the opaque operation and debugging process of a diagonal recursive neural network control system in the prior art, which can only be performed in Offline debugging in shutdown state, the problem that the system is limited to the LAN
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0036] Please refer to figure 1 , the present invention provides a remote monitoring and online debugging method for a diagonal recursive neural network control system, characterized in that it includes the following steps:
[0037] Step S1: Design the structure of the diagonal recursive neural network control system, including the server, remote client and the Internet; the server and the remote client have independent PC processors, and determine the diagonal recurrent neural network according to the requirements of industrial production applications According to the characteristics of the controlled object and the reference model in the control system, the structure of a complete diagonal recursive neural network control system is designed; the controller and identifier structure in the diagonal recurrent neural network control system is determined b...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a remote monitoring and online debugging method of a diagonal recurrent neural network control system. The method comprises the following steps: designing a structure of a diagonal recurrent neural network control system, including a server side, a remote client and internet; constructing a configuration program of the diagonal recurrent neural network control system by the remote client; implementing communication connection between a local client side and the remote client through the internet and a group of communication service gateway components; receiving and executing the configuration program of the diagonal recurrent neural network control system by at the server side; and completing remote monitoring and online debugging on the diagonal recurrent neural network control system by the remote client. The method can be used for solving the problems in the prior art that the diagonal recurrent neural network control system is not transparent in running and debugging processes, can only be debugged off line under a halt state, and is limited in the local area network.
Description
technical field [0001] The invention relates to a remote monitoring and online debugging method of a diagonal recursive neural network control system. Background technique [0002] In the production process in the field of automation, the controlled objects are often complex, coupled and nonlinear. For this type of control system, the use of advanced control technology can get better control effect than conventional control. However, the application of advanced control technology is less at present, mainly because advanced control calculation is complex and difficult to configure and debug. [0003] Based on the current situation of the application of advanced control technology at home and abroad, most of the realization of advanced control technology today is based on the computer, using software packages, and plugging in outside the DCS system. The implementation of this advanced control technology has the following disadvantages: [0004] (1) Most of the advanced cont...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 郑松宋怡霖刘朝儒曾其鋆何俊欣郑蓉王亮亮李贝贝
Owner FUZHOU UNIV