Three-phase type tunnel construction ventilation control method

A technology of tunnel construction and control method, which is applied in mine/tunnel ventilation, pump control, engine control and other directions. It can solve the problems that the calculation result parameters have great influence and the optimal position may not be suitable for on-site installation, so as to shorten the approach to the site. time, the effect of improving environmental conditions

Active Publication Date: 2017-01-11
CHINA RAILWAY TUNNEL GROUP CO LTD
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AI Technical Summary

Problems solved by technology

However, the calculation results of the simulation software are greatly affected by the parameters
Moreover, the optimal location simulated may not be suitable for on-site installation

Method used

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  • Three-phase type tunnel construction ventilation control method
  • Three-phase type tunnel construction ventilation control method
  • Three-phase type tunnel construction ventilation control method

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Effect test

Embodiment 1

[0015] see figure 1 , the present invention proposes a three-stage tunnel construction ventilation control method based on sensor network and fuzzy neural network algorithm, its principle is as follows figure 1 shown.

[0016] Among them, the control system is composed of the monitoring cabinet located in the control room, the field control cabinet located in the lining trolley, the wireless end of the waterproof board platform and the sensor network at the front end of the waterproof board platform. The three-stage tunnel construction ventilation control algorithm runs in the monitoring cabinet.

[0017] The three-stage tunnel construction ventilation control method of the present invention adopts staged ventilation control to realize the automatic control of tunnel construction ventilation. The first stage: after the blasting is over, the fan enters the full-speed ventilation stage, and the blower will be blown as soon as possible under the maximum operating frequency (usua...

Embodiment 2

[0019] see figure 1 , figure 2 The difference between the three-stage tunnel construction ventilation control method of this embodiment and Embodiment 1 is that: further, the full-speed operation stage is excited by the shock wave sensor installed on the waterproof board platform. After the shock wave sensor detects that the blasting is completed, that is, after a certain time delay, it enters the full-speed operation stage.

[0020] like figure 2 Shown is the CO concentration distribution curve at each vertical height at 100 meters from the face of the tunnel (where the flashing platform is located) obtained through simulation analysis. from figure 2 The following conclusions can be drawn: 1) Under the condition of ventilation, the gas concentration presents a Gaussian distribution in the axial direction; 2) When the peak value of the gas concentration passes through the waterproof board stand, the distance between the face and the waterproof board (the main working are...

Embodiment 3

[0022] see figure 1 , figure 2 , the three-stage tunnel construction ventilation control method of this embodiment is different from Embodiment 1 or Embodiment 2 in that: in the automatic adjustment stage, a fuzzy neural network algorithm is used to establish a fuzzy neural network model, and the automatic adjustment function is controlled by figure 1 The fuzzy neural network model shown in is completed. The model learns the sensor data collected and the fan operating frequency value obtained by the on-site ventilation workers, and obtains the control law of the on-site environmental parameters; the fuzzy neural network model includes a learning phase and a normal working phase: in the learning phase, the fuzzy neural network After the model learns the sample input (data collected by the sensor network after preprocessing) and the learning target (the operating frequency of the ventilator given by the ventilator), the learned connection weights are saved for calculation; In...

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Abstract

The invention provides a three-phase type tunnel construction ventilation control method. The method includes that automation control on tunnel construction ventilation is realized by adopting phase-type ventilation control, the first phase is a ventilation phase at full speed, and in other words, after completion of explosion, a fan enters the ventilation phase at full speed to blow dust and toxic gas generated from explosion out of working areas where personnel gather; the second phase is automatic adjustment phase, in other words, when peak values of the dust and toxic gas exceed a rack of a waterproof board, the fan enters the automatic adjustment phase, and running frequency of the fan is adjusted gradually to lowest wind speed meeting required wind quantity of a site by adopting a fuzzy neural network algorithm; the third phase is a lowest wind speed running phase till coming of next explosion. With the method, environmental conditions of tunnel faces can be improved rapidly with the ventilation phase at full speed, and approaching time of workers is shortened; the running frequency of the fan is gradually adjusted to the lowest wind speed meeting required wind quantity of the site by adopting the fuzzy neural network algorithm in the second phase; third phase is constant-speed running of at the lowest wind speed to keep ventilation.

Description

technical field [0001] The invention relates to tunnel construction ventilation control, in particular to a three-stage tunnel construction ventilation control method. Background technique [0002] During tunnel construction, explosive blasting and mechanical operation will pollute the air in the tunnel, causing a series of problems such as harsh working environment, affecting the health of construction workers, and reducing construction efficiency. Traditional tunnel ventilation control is done manually. According to the working environment in the tunnel, the ventilator sends instructions to the fan driver at the entrance of the tunnel (inclined shaft, horizontal tunnel) to set the corresponding working frequency of the fan. The existing tunnel construction ventilation automatic control system uses sensors to collect environmental parameters within the working space, and then uses PID (including PID, fuzzy PID, etc.) algorithms to achieve closed-loop control of parameter s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F04D27/00E21F1/00
CPCE21F1/006F04D27/004F05D2270/707F05D2270/709
Inventor 刘石磊耿伟尹龙王栋张文新吴元金赵希望杨立新赵军喜罗占夫李永生苟红松马国栋
Owner CHINA RAILWAY TUNNEL GROUP CO LTD
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