Intelligent control system and method for intelligent network connection engineering machinery

Abstract

The invention discloses an intelligent control system and method for intelligent network connection engineering machinery, and relates to the field of intelligent control. According to the method, the calculation amount of the data processing unit is monitored, the instruction calling mode is adjusted at any time, system crash caused by super-calculation amount calculation is prevented, and the problem of system crash caused by super-calculation can be effectively solved; according to the method, the input instruction is subjected to grade classification, so that the special instruction can be timely processed and executed. The system can still perform priority processing even when the system calculation amount reaches a preset peak value. The system can perform program instruction self-inspection, feed back conflicting instructions which do not conform to logic and the like, and conveniently withdraw part of unexecuted instructions, and particularly solves the problems that in an existing remote intelligent control system, the system response is slow due to the fact that the data calculation amount is increased, and finally the instructions cannot be withdrawn for a long time.

Description

technical field [0001] The invention relates to the field of intelligent control, in particular to an intelligent control system and method of an intelligent network-connected engineering machinery. Background technique [0002] In the existing remote intelligent control systems of intelligent networked construction machinery, most of the instructions are directly input to the control center, and the control center executes the received instructions in sequence. When multiple instructions are continuously input, due to the continuous increase of operating data After reaching a certain amount of data, it is easy to cause the problem that the system crashes and cannot respond to the command request; in the existing control system, it is easy to cause misoperation due to inadvertent triggering. There are too many commands, the control system cannot respond normally, or in some cases, in order to avoid executing misoperation commands, the system is stopped urgently, but when the...

AI Technical Summary

Problems solved by technology

[0002] In the existing remote intelligent control system of intelligent networked construction machinery, most of the commands are directly input to the control center, and the control center executes them sequentially according to the received commands. When multiple commands are continuously input, due to the continuous increase of operating data , after reaching a certain amount of data, it is prone to the problem that the system crashes and cannot respond to the command request; in the existing control system, it is easy to cause misoperation due to inadvertent triggering, and when the command is withdrawn, the user is often anxious, which further leads to short-term input There are too many commands, the control system cannot respond normally, or in some cases, in order to avoid executing misoperation commands, the system is stopped urgently, but when the system is restarted, many commands that need to be executed but have not yet been executed need to be re-entered again. increased workload

[0003] For example, in the process of controlling the steering of intelligent networked construction machinery, it is often necessary to execute a combination of multiple action commands at the same time, such as deceleration, steering, and turning on the turn signal. If the user inputs several commands in a short period of time, the control center The amount of data processing is increasing rapidly, and the vehicle is continuously performing the process of environment perception data calculation and result analysis. In some cases, it is inevitable that the system will stop responding and other system crashes. How to minimize the probability of system crashes in the above cases The reduction of is the problem that needs to be solved

In addition, in this control process, once the user issues an order, it is difficult to withdraw it, so the user can only take coercive measures such as braking to prevent the execution of wrong orders

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