An Online Monitoring and Diagnosis System for Full Hydraulic Drilling Rig

Abstract

The invention discloses an on-line monitoring and diagnosing system of an all-hydraulic drill. The system comprises a lower computer, a CAN (Controller Area Network) bus communication module and an upper computer, wherein the lower computer is used for collecting and adjusting data, the CAN bus communication module is used for transmitting the data, and the upper computer is used for monitoring and diagnosing the state of the drill on line. In the lower computer, a signal input module utilizes a pressure sensor, a flow sensor, a temperature sensor, a rotation speed sensor and the like to collect the running state information of the all-hydraulic drill in a multiple-channel all-around mode and inputs the running state information to a signal collecting core module to be regulated and amplified. The drill state data collected by the lower computer is transmitted to the upper computer through the CAN bus communication module, a software real-time monitoring module of the upper computer is applied to carrying out measuring point information setting, drill state parameter displaying and database storage and management, and a failure diagnosis module is utilized to identify the drill state, diagnose the type of drill failures and give measures. The on-line monitoring and diagnosing system can effectively shorten the inspection and maintenance time of the all-hydraulic drill, saves the maintenance cost, reduces the drilling cost, and improves the drilling efficiency.

Description

technical field [0001] The invention belongs to the field of fault diagnosis, and in particular relates to an online monitoring and diagnosis system of a full hydraulic drilling rig. Background technique [0002] Mine full hydraulic drilling rig is a power machine with complex structure, harsh working environment and multi-source vibration. Its operating status is directly related to the safe production of coal mining. Therefore, it is necessary to implement effective monitoring and diagnosis of drilling rigs. However, due to complex and concealed formations and frequent movement of drilling rigs, the diagnosis of drilling rig fault diagnosis is much more difficult than other types of mechanical equipment. Traditional drilling rig fault diagnosis systems and methods are statically diagnosing various common faults of drilling rigs and identifying specific one or several types of faults. Based on real-time collection of state information such as pressure, flow, temperature, ...

AI Technical Summary

Problems solved by technology

However, due to complex and concealed formations and frequent movement of drilling rigs, the diagnosis of drilling rig fault diagnosis is much more difficult than other types of mechanical equipment

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