井下位置服务系统设计

Underground location service system design

位置服务旨在提供目标对象精准的实时位置信息,是建立在定位基础上的服务,然而目前井下定位系统存在定位精度低、实时性差、容量不足、数据库承载能力有限、仅支持一维定位等问题。为避免井下定位系统对位置服务的影响,设计了一种井下位置服务系统。该系统采用基于Docker的微服务架构,克服了传统单体式架构开发迭代和性能瓶颈问题,松散各业务之间的耦合性;采用多标签多锚节点同时测距方法,在保证测距精度的同时提高了测距效率和定位系统容量;采用多源数据融合定位算法提高标志卡相对锚基站方向的判别准确性;采用基于卡尔曼滤波和加权LM法的定位算法和低复杂度的特征提取方法对定位结果进行优化,降低噪声干扰,去除冗余数据,提高定位精度;引入时序数据库进行数据混合存储,将历史轨迹等时序数据存入InfluxDB,提高系统数据访问性能;采用发布订阅模式进行消息异步传输,增加公共信息的重用性和共享性;对位置服务接口采用Bearer验证,保护系统数据安全和井下敏感数据。实际应用结果表明,该系统可提供井下各类目标高精度实时位置信息,为工作面限员监测系统、人机接近保护装置、辅助运输系统、自动驾驶系统提供了重要的数据支撑。

The location service aims to provide accurate real-time position information of target objects,which is based on positioning. However, the current underground positioning system has some problems, such as low positioning precision, poor real-time performance, insufficient capacity, limited database carrying capacity,only supporting one-dimensional positioning and so on. In order to avoid the influence of underground positioning system on location service, an underground location service system is designed. The system adopts a Dockerbased micro-service architecture, which overcomes the problems of development iteration and performance bottleneck of the traditional monolithic architecture and looses the coupling between businesses. The system adopts the simultaneous ranging method of multi-label and multi-anchor nodes, which improves the ranging efficiency and the capacity of the positioning system while ensuring the ranging accuracy. The system uses multi-source data fusion positioning algorithm to improve the discrimination accuracy of the direction of the sign card relative to the anchor base station. The system adopts the positioning algorithm based on Kalman filter and weighted LM method and the low-complexity characteristic extraction method to optimize the positioning results,reduce noise interference, remove redundant data and improve positioning precision. The system introduces the time series database for mixed data storage, and stores time series data such as historical track in Influx DB to improve system data access performance. The system adopts the publish-subscribe mode for asynchronous message transmission, which increases the reusability and sharing of public information. The system adopts Bearer verification for the location service interface to protect system data security and underground sensitive data. The practical application results show that the system can provide high-precision real-time position information of various underground targets, and provide important data support for the working face limit monitoring system, human-machine approach protection device, auxiliary transportation system and automatic driving system.