Abstract: Aiming at the problems of poor visualization and low reliability of roadheader operation data, a multi-information monitoring system based on multi-sensor distribution is proposed, and the overall framework of the system is designed to realize the reliable operation of the monitoring program. Firstly, the working characteristics of roadheader remote monitoring are analyzed, and the noise reduction and fog removal algorithm are used to enhance the brightness and clearness processing of the field pictures, so as to improve the image quality and achieve the level of remote real-time video monitoring. Combined with gas and temperature sensors, the heading environment monitoring is realized. Secondly, the position of roadheader’s cutting head is taken as its operating space boundary, and the pose and running trajectory equations of roadheader’s cutting head are established. The redundancy algorithm of cylinder displacement signal and inclination signal are used to monitor the cutting space position of roadheader in real time. Thirdly, based on the Lambert-Beer law and transmission method, an oil contamination measurement system is designed to realize the online monitoring of oil state. Fourthly, based on the exponential degradation method, the residual service life model of cutting part bearing is established, which is embedded into the monitoring system to display the performance curves of the key components of the roadheader in real time, and the life monitoring of the key components is realized. Finally, through the TCP protocol, and combining the PLC communication, the signals, such as temperature, pressure, and vibration, are remotely acquisited. The method of multiple information fusion is adopted to obtain the data real-time visualization and the failure trend analysis, which form the multi-information monitoring system containing environment, cutting state, oil state, life prediction and other aspects of the roadheader, in order to provide a theoretical and technical support for realizing intelligent mining.