The measurement platform is the core front-end subsystem in mine's dynamic weighing bridge, which directly determines the measuring accuracy and reliability of the system. This paper presents a full digital embedded measurement platform. The establishment of the overall system structure and design of some important modules are described in detail. The platform has a "multistation structure" mode. The direction judgment is achieved by the staggered installation of weight sensors. The transmission performance is ensured with the application of RS485 serial interface. Compared to the traditional technology, this design is more simple in structure and flexible in network, which leads to a great reduction in the cost of equipment investment under the premise of performance assurance.
The data acquisition system for mine's dynamic rail track scale is designed based on embedded technology. The automatic motion direction judge of the tramcar could be achieved by the staggered installation of the weight sensors without installing additional direction sensors. Each pair of tracks are installed with a data collector and all data collectors carry out a two-way data exchange with the same measurement controller. A video monitor is installed near the coal mines to get video monitoring. Only one video server is required for all video monitors. The measurement controller is used to receive and deal with both the weight data from the data collector and the video data from video server. The data is computed in measurement controller and transmitted to the remote monitoring center server, in which the final results are presented.
A comprehensive colliery production monitoring system is discussed, which can dynamically weigh the tramcar and carry out video monitoring at the same time. This colliery production monitoring system consists of the front-end hardware platform and the back-end information management system. Both the front-end hardware platform and the back-end information management system are designed in detail here. The main functions of the information management system are put forward. This monitoring system can not only strengthen the supervision of production and effectively reduce accidents, but also prevent the tax evasion. This design has been used in China for 2 years with stable operation.
The method of wheel-weight for mine's automatic light rail weight-bridge is put forward. According to some important factors which cause measure error using wheel-weight method, for example, zero drift, speed and gradient, the error compensation algorithms are studied. The software flow charts of these algorithms are given, which have been put into effect in the ARM microprocessor based embedded system. It has been found that these error compensation methods are efficient to improve the accuracy of the measurement system.
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