Acquisition device for armored vehicle simulation training based on TCPIP protocol

Abstract

The invention relates to an acquisition device for armored vehicle simulation training based on a TCPIP protocol. The acquisition device comprises an acquisition driving board 1, a power board 2, a serial port-to-internet port module 4, a box body 3 and an aviation connector 5. An MCU module identifies whether a resistor R108 and a resistor R109 are welded or not through an acquisition module so as to judge whether an external component is a bipolar analog quantity or a unipolar positive voltage analog quantity; the MCU module identifies a resistor R34, a resistor R36 and a resistor R35, so that the acquisition of digital component signals in various simulators is realized; the MCU module drives an external indicating lamp through an indicating lamp control module; the MCU module supplies power to different external components through a power supply control module. According to the invention, centralized acquisition and control of various models of armored vehicles and various types of hardware are realized, reading of any hardware information data in a local area network is realized, data sharing and integration are realized, and armored vehicle simulation training is realized.

Description

technical field [0001] The invention belongs to the technical field of vehicle training systems, and in particular relates to a collection device for simulation training of armored vehicles based on the TCPIP protocol. Background technique [0002] At present, with the improvement of military training requirements, as well as the training environment and actual conditions, the current demand for simulated training is becoming more and more urgent. Not only can the training of armored vehicle skills and tactics be achieved, but it can also be done indoors out of the actual place. Training, to meet the needs of operations, can realize data sharing and integration in the process of simulation training development. [0003] The existing training system needs to be matched one by one because of different models and different types of simulation training. The reliability cannot be guaranteed, which leads to increased costs, is not universal, and does not meet the needs of mass pro...

AI Technical Summary

Problems solved by technology

[0003] Due to different models and different types of simulation training, the existing training system needs to be matched one by one. The reliability cannot be guaranteed, which leads to increased costs, is not universal, and does not meet the needs of mass production.

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