摘要
为充分利用监测数据、提高计算效率,以邯郸某矿区2516工作面地表下沉实测数据为基础,将改进标准粒子群(SPSO)算法引入概率积分法求参过程,构建基于改进SPSO算法的概率积分法求参模型,以各监测点下沉拟合值与实测值差值的平方和为适应度函数,通过迭代求得约束条件内的最优解。结果表明:改进SPSO算法平均迭代次数为47.3次,PSO算法平均迭代次数为300.4次,改进SPSO算法的运算效率和稳定性均优于PSO算法;基于改进SPSO算法的概率积分法反演参数拟合误差σ=4.66%,矿区经验值拟合误差σ=10.2%,改进SPSO算法反演参数精度高于矿区经验值;基于改进SPSO算法的曲面拟合求参模型反演概率积分法参数精度可靠、运算效率高,对提高矿区开采沉陷预计精度具有一定应用价值。
In order to make full use of the monitoring data and improve the efficiency of parameter calculation, this study, based on the measured data of surface deformation in 2516 working face of a mining area in Handan, introduces the improved standard particle swarm optimization(SPSO) algorithm into the process of calculating the parameters of the probability integral method,constructs a probability integral method to calculate parameters model based on improved SPSO algorithm, takes the sum of the squares of the difference between the fitted value and the measured value of each monitoring point as the fitness function, the optimal solution of the parameters within the constraints is obtained through iteration. The test results show that: the average number of iterations of the improved SPSO algorithm is 47.3 times, and the average number of iterations of the PSO algorithm is300.4 times. The operation efficiency and stability of the improved SPSO algorithm are better than that of the PSO algorithm;inversion of parameter fitting error σ by probability integral method based on improved SPSO algorithm is 4.66%, fitting error σ of empirical value in mining area is 10.2%, the inversion parameter accuracy of the improved SPSO algorithm is higher than the empirical value of the mining area. The inversion probability integral method of surface fitting parameter model based on improved SPSO algorithm has reliable parameter accuracy and high operation efficiency, and has certain application value for improving the prediction accuracy of mining subsidence in mining area.
作者
徐可心
何荣
白伟森
XU Kexin;HE Rong;BAI Weisen(School of Surveying&Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,China)
出处
《煤矿安全》
CAS
北大核心
2022年第8期218-224,共7页
Safety in Coal Mines
基金
国家自然科学基金资助项目(41671057)
河南省科技攻关资助项目(172102310572)
河南省高等学校重点科研资助项目(18B420003)。
关键词
开采沉陷
概率积分法
SPSO算法
参数反演
曲面拟合法
mining subsidence
probability integral method
SPSO algorithm
parameter inversion
surface fitting method
