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Parameter inversion method of probability integral method based on quantum annealing method

A probabilistic integration method and parameter inversion technology, applied in the field of mine deformation monitoring, can solve the problems of poor reliability of probabilistic integration parameters, slow convergence speed, and reduced accuracy requirements.

Inactive Publication Date: 2018-09-04
ANHUI UNIV OF SCI & TECH
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Problems solved by technology

Through the comparison of the above nonlinear optimization algorithms, it is found that: (1) the above nonlinear optimization algorithms generally have different degrees of easy to fall into the local optimal solution in the process of obtaining the probability integral parameters, and the reliability of the obtained probability integral parameters is poor; (2) The SA algorithm has a certain global optimization ability (it can reduce the accuracy requirements for the initial value of the parameters to a certain extent), and is suitable for the parameter inversion of the probability integration method of any working face shape, but it still has a slow convergence speed and is easy to fall into the local optimal solution

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  • Parameter inversion method of probability integral method based on quantum annealing method
  • Parameter inversion method of probability integral method based on quantum annealing method
  • Parameter inversion method of probability integral method based on quantum annealing method

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Embodiment 1

[0019] Example 1, such as figure 1 As shown, a parameter inversion method of the probability integration method based on the quantum annealing method is given, including the following steps:

[0020] Assume that the subsidence and horizontal movement measured at the surface movement observation point above the working face are respectively W ai , U ai , the predicted subsidence value and horizontal movement value of the observation point at the i-th iteration are respectively W pi , U pi , taking the minimum sum of squares of the difference between the predicted value and the observed value as the criterion, the energy in a certain state is calculated as,

[0021] E. i = f i =Σ((Wp i -Wa i ) 2 +(Up i -Ua i ) 2 )

[0022] Then the Hamilton quantity under no external force in quantum annealing is,

[0023] h 0 =E i+1 -E i = f i+1 -f i

[0024] Step 1. Preset the initial value of the probability integral parameter B 0 , temperature and transverse field variati...

Embodiment 2

[0032] The 1414 (1) working face of Guqiao Coal Mine in Huainan Mining Area adopts comprehensive mechanized coal mining, mining full height at one time, and managing the roof by the whole caving method, and the working face recovery time is 343 days. The working face is arranged along the direction of the coal seam, the mining size is 2120m×251m (the direction of the working face is full mining, the tendency is not full mining, and the overall mining is not full mining)), the average mining height is 3.0m, and the average inclination angle of the coal seam is 5°. The average buried depth of the working face is 735m. The inclination observation line is arranged at 1144m and 976m from the cutting hole and stop production line, and a total of 3 control points and 50 monitoring points are arranged with a point spacing of 30m and a length of 1500m inclination line. The trend observation line is set at a distance of 39m away from the center line of the working face in the downhill d...

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Abstract

The present invention relates to a parameter inversion method of a probability integral method based on a quantum annealing method. The method comprises: giving an initial value B0 of a parameter of the probability integral, and determining a temperature and transverse field variation function, a fluctuation range + / -[delta]B of each parameter of the probability integral, the maximum allowable step length scale of the parameter, and the number of times M of internal loops; by calculating the objective function under the gradually decreased temperature and transverse field, determining an optimal parameter solution at each temperature; and finally outputting the optimal parameter solution by determining the accuracy requirement or whether the minimum temperature and the transverse field arereached. According to the method disclosed by the present invention, based on inheriting the advantages of the simulated annealing method, the thermal fluctuation mechanism of the simulated annealingmethod is replaced by the quantum fluctuation mechanism, so that the shortcomings of the simulated annealing algorithm are effectively overcome; and compared with the parameter inversion method of the probability integral based on the simulated annealing, by using the method disclosed by the present invention, the convergence speed and the possibility of jumping out of the local optimal solutionare effectively improved, the global optimization ability is enhanced, and the parameter inversion of the probability integral can be more accurate and reliable.

Description

technical field [0001] The invention belongs to the technical field of mine deformation monitoring, and in particular relates to a parameter inversion method of a probability integral method of a quantum annealing method. Background technique [0002] Probability integration method is the mining subsidence prediction method officially designated by China, and calculating the parameters of probability integration method based on measured data is the core content of mining subsidence observation data processing. The probability integral method model is a typical multi-parameter (8 parameters: sinking coefficient q, main influence angle tangent tanβ, horizontal movement coefficient b, main influence propagation angle θ, upper inflection point offset S u , lower inflection point offset S d , left inflection point offset S l and right inflection point offset S r ) complex nonlinear model, how to accurately calculate the parameters based on the measured data of the surface mobi...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/20
Inventor 魏涛王磊蒋创方苏阳李楠池深深
Owner ANHUI UNIV OF SCI & TECH
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