Ventilation system for tunnel construction
A ventilation system and tunnel construction technology, which is applied in mine/tunnel ventilation, instruments, liquid fuel engines, etc., can solve the problem of increasing human labor and power consumption, lack of deep learning of harmful gases, and difficulty in establishing an adaptive adjustment model for ventilation devices, etc. Problems, to achieve the effect of protection, reduce manpower and power consumption
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Embodiment 1
[0029] like Figure 1-2 As shown in the figure, a tunnel construction ventilation system proposed by the present invention includes a control host, a cmos camera installed inside the tunnel, a monitor and a ventilation device. The interior of the control host includes a data system 1, a central processing system 2, and a cloud storage module 5. , output system 6 and image system 10, data system 1 includes gas monitoring module 16, CO monitoring module 17 and dust monitoring module 18, data system 1 monitors the data inside the tunnel in real time, data system 1 and central processing system 2 The image system 10 includes an image acquisition module 11, an image processing module 12, an image segmentation module 13 and an image recognition module 14;
[0030] The image system 10 collects, processes, divides and recognizes the image captured by the cmos camera, and divides the captured image into node data. The image system 10 transmits the data to the data system 1, and the cen...
Embodiment 2
[0036] like Figure 1-2 As shown, based on the first embodiment, the image acquisition module 11 collects the image in the cmos camera, the image acquisition module 11 and the image processing module 12 are connected in communication, and the image acquisition module 11 transmits the collected image to the image In the processing module 12, the image processing module 12 processes the received image, the image processing module 12 enhances the brightness of the received image, and simultaneously removes noise in the image;
[0037] The image processing module 12 and the image segmentation module 13 are in communication connection, and the image processed by the image processing module 12 is transmitted to the image segmentation module 13, and the image segmentation module 13 segments the image. Communication connection, the image segmentation module 13 transmits the image data to the image recognition module 14;
[0038] The image recognition module 14 recognizes the received...
Embodiment 3
[0047] like Figure 1-2 As shown, based on the above-mentioned first or second embodiment, the monitoring instrument includes a gas detector, a CO detector and a dust detector, and the monitoring instrument is installed according to the distribution of dangerous gases in the tunnel;
[0048] The data system 1 transmits the monitored gas data, CO data and dust data to the deep learning module 4 in real time. At the same time, the deep learning module 4 obtains the maximum ventilation volume of the ventilation device, and the deep learning module 4 performs deep learning according to the received data. , so as to establish a "ventilation device self-regulation model";
[0049] The monitored dangerous gas data is processed through the "ventilation device self-adjustment model" to generate an adjustment signal. The deep learning module 4 transmits the signal to the ventilation adjustment module 9, and the ventilation adjustment module 9 monitors the working state of the ventilatio...
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