Fault self-recovery method for industrial control application program based on heartbeat detection

An application, heartbeat detection technology, applied in error detection/correction, redundancy in operation, data error detection, hardware monitoring, etc. It can solve problems such as loss of important data, work stoppage, economic loss, etc., and achieve hardware costs. Low, avoid work stoppage, improve reliability effect

Active Publication Date: 2018-07-06
CHONGQING UNIV
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Problems solved by technology

In the long-term use process, with the increase of running time of industrial control applications and operating systems, various problems will inevita...

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  • Fault self-recovery method for industrial control application program based on heartbeat detection
  • Fault self-recovery method for industrial control application program based on heartbeat detection
  • Fault self-recovery method for industrial control application program based on heartbeat detection

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Embodiment Construction

[0016] In order to understand the present invention more clearly, below in conjunction with accompanying drawing, describe in detail:

[0017] figure 1 It is a scene simulation diagram of the method for system recovery of industrial computer application failure system based on heartbeat detection according to the present invention, figure 2 It is a system structure diagram of the method for recovering the application program failure system of the industrial computer based on heartbeat detection according to the present invention. Including the following systems: industrial computer; embedded industrial control program monitoring system; Internet of things remote monitoring system. The embedded industrial control program monitoring system is connected to the industrial computer through the network and the relay circuit, and the remote monitoring system is connected to the industrial computer and the embedded industrial control program monitoring system through the network. T...

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Abstract

The invention discloses a fault self-recovery method for industrial control application program based on heartbeat detection, is applied to industrial control and Internet of Things remote monitoringsystems, and is characterized in that a running state of an application program in an industrial control machine is monitored in real time by monitoring a running situation of an on-site computer ( the industrial control machine), once system halted or abnormal breakdown appears on the industrial control machine or the industrial control application program, the reset of the industrial control machine or restart operation is achieved by a remote monitoring software and embedded equipment, so that the automatic monitoring and automatic recovery of the industrial control machine are achieved, accidents caused by manpower waste and slack of artificial monitoring are reduced so as to guarantee the normal and stable work of the industrial control system.

Description

technical field [0001] The invention belongs to the field of industrial automation online monitoring, in particular to a method for self-recovery of industrial control application program faults based on heartbeat detection. Background technique [0002] Industrial Personal Computer (IPC) is an industrial control computer, which is a general term for a tool that uses a bus structure to detect and control the production process, electromechanical equipment, and process equipment. The industrial control software system mainly includes three parts: system software, industrial control application software and application software development environment. Among them, industrial control application software (industrial control application program) is mainly generated according to the needs of users' industrial control and management, so it is specific. [0003] Due to the wide range of application industries, industrial computer has strict requirements on its reliability in some ...

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Application Information

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IPC IPC(8): G06F11/14G06F11/30
CPCG06F11/1438G06F11/1441G06F11/3055G06F11/3093
Inventor 屈剑锋柴毅李春燕任浩王凡房晓宇
Owner CHONGQING UNIV
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