A joint optimization and control method for mine ventilation system

Abstract

The invention provides a unified optimal adjusting and control method of a mine ventilation system. A draught fan-system unified adjusting nonlinear programming model is built, and according the mine ventilation system topological structure and the air needing requirement and the system adjustable parameter of a specified air needing air flue, the optimal adjusting scheme of the ventilation system is calculated in good time; in other words, under the targets that the air needing requirement is met to the maximum degree, the total power consumption is minimum, and various control parameters can be implemented, draught fan control parameters and adjusting parameters of the adjusting air flue are calculated; adjusting and control commands are issued to complete on-line optimal adjusting of the mine ventilation system, so that unified adjusting of a draught fan and an air net is accordingly achieved, and on-time as-required low-power dissipation optimal air supplying of the mine ventilation system is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of automatic control of mine ventilation, and in particular relates to a joint optimization and control method of a mine ventilation system. Background technique [0002] The core task of mine ventilation is to ensure on-time and on-demand air supply at various locations underground, so as to ensure safe, efficient and green mining in the mine. Due to the complexity of the underground ventilation system, it is a complex system engineering from environmental monitoring, air volume calculation to system adjustment. It is difficult to meet the needs of underground safety production and energy saving only by manual analysis and adjustment or local automatic adjustment. Therefore, to achieve global optimization of mine ventilation Automatic calculation of adjustment scheme is a technical problem that must be solved to realize mine ventilation automation. [0003] Although people have done a lot of research on th...

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Problems solved by technology

It can be seen that it is impossible to adjust the air volume of air duct B alone to reach the target air volume; in addition, the adjustment of air duct B also affects the air volume of other air ducts, making the whole system in a chaotic state

[0005] (2) For the fixed air volume solution algorithm, since the adjustment point cannot be transferred, it is easy to find an infeasible solution, and even the wind resistance is negative

[0006] (3) As for the maximum resistance path adjustment method, it is not economical in itself. Moreover, due to the time-varying nature of the air resistance of each air duct and the air volume required by each air point, the maximum path changes and the adjustment point also changes. Therefore, the maximum resistance Pathway regulation is not feasible

[0007] (4) For the linear programming adjustment method, due to the oversimplification of the optimal adjustment problem of the mine ventilation system, the calculation results are often not in line with reality

[0008] (5) For the existing nonlinear programming adjustment method, the two-stage method of first optimizing the system and then adjusting the fan is adopted. Since the joint optimization of the system and the fan is not considered, the global optimal solution cannot be obtained, and it is not suitable for Real-time voltage equalization requirements during catastrophic periods

[0009] It can be seen that the existing optimization and adjustment schemes of various mine ventilation systems have not essentially realized the overall optimization and control of the mine ventilation system, and cannot meet the mine's air supply needs during normal and catastrophic periods.

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