CN214464318U - Tunnel ventilation intelligence control system - Google Patents
Tunnel ventilation intelligence control system Download PDFInfo
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- CN214464318U CN214464318U CN202120498059.3U CN202120498059U CN214464318U CN 214464318 U CN214464318 U CN 214464318U CN 202120498059 U CN202120498059 U CN 202120498059U CN 214464318 U CN214464318 U CN 214464318U
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Abstract
The utility model discloses a tunnel ventilation intelligence control system, the system includes: conflagration detection sensor, air quality check out test set and central processing unit, conflagration detection sensor and air quality check out test set install in the tunnel, and the ventilation pipe in shaft and the tunnel links to each other, makes and forms the negative pressure environment in the tunnel and ventilates, temperature and smog concentration in the conflagration detection sensor detection tunnel in detect the conflagration and in time send conflagration information to central processing unit after taking place to start automatic fire extinguishing system in the tunnel, the concentration of various compositions in the air in air quality check out test set detection tunnel sends the testing result to central processing unit. The utility model provides a ventilation in the current tunnel not intelligent, the energy consumption is big, not energy-conserving, can't detect the problem of early warning to air circumstance in the tunnel.
Description
Technical Field
The utility model relates to a tunnel ventilation control technical field, concretely relates to tunnel ventilation intelligence control system.
Background
With the rapid development of capital construction, tunnel engineering is often the controllable engineering of the whole engineering, and the main reasons are that the construction period is long, the construction environment is poor, and the unidirectional tunneling footage time in construction is long; besides being difficult to discharge pollutants near the tunnel face, the method brings secondary pollution to a construction area behind the tunnel, and seriously affects the construction progress of tunnel engineering and the health of workers; especially, in plateau areas, the oxygen content near the tunnel face is insufficient, so that the efficiency of construction operation equipment is reduced, workers frequently replace or carry heavy oxygen supply equipment to work, and the efficiency of tunnel construction is seriously influenced.
The traditional long and large tunnel construction ventilation mode mainly adopts modes of parallel pilot tunnels, inclined shafts or vertical shafts and the like, the construction period is long, and the efficiency is low; in addition, the traditional measuring methods for the content of harmful gases and dust and the like are adopted in construction, so that the efficiency is low, the cost is high, and the timeliness is not enough; the continuous ventilation mode is adopted to keep the environmental standard in the construction tunnel to reach the standard, so that the efficiency is obviously higher; however, with the increase of the tunneling length of the tunnel, the emission and dilution of harmful substances in the tunnel are difficult, the emission and dilution of harmful substances are difficult by increasing the auxiliary ventilation time and the auxiliary construction ventilation channel or depending on manual control, and toxic and harmful gases are easily generated in the tunnel, so that the air quality in the tunnel cannot be detected in real time, and early warning cannot be timely given out when a fire disaster occurs. And because the ventilation of the tunnel needs 24 hours to open the ventilation equipment, the energy consumption is large, and the ventilation equipment cannot be reasonably used for natural resources in the environment. Renewable resources are used for energy supply.
SUMMERY OF THE UTILITY MODEL
Therefore, the utility model provides a tunnel ventilation intelligence control system to ventilation is not intelligent, the energy consumption is big, not energy-conserving, can't detect the problem of early warning to air circumstance in the tunnel in solving current tunnel.
In order to achieve the above object, the present invention provides the following technical solutions:
the utility model relates to a tunnel ventilation intelligence control system, the system includes: conflagration detection sensor, air quality check out test set and central processing unit, conflagration detection sensor and air quality check out test set install in the tunnel, and the ventilation pipe in shaft and the tunnel links to each other, makes and forms the negative pressure environment in the tunnel and ventilates, temperature and smog concentration in the conflagration detection sensor detection tunnel in detect the conflagration and in time send conflagration information to central processing unit after taking place to start automatic fire extinguishing system in the tunnel, the concentration of various compositions in the air in air quality check out test set detection tunnel sends the testing result to central processing unit.
Further, be provided with the ventilation pipe in the tunnel, ventilation pipe and shaft intercommunication form the negative pressure convulsions, install solenoid valve on the ventilation pipe, solenoid valve is connected with central processing unit, through central processing unit control solenoid valve's the degree of opening and shutting, adjusts the interior ventilation wind speed of tunnel.
Furthermore, a plurality of vent holes are formed in the pipe wall of the vent pipe.
Further, the wind wheel is installed at the air outlet of the vertical shaft, the motor drives the wind wheel to rotate, negative pressure air draft is carried out in an auxiliary mode, and the wind wheel carries out rotation speed adjustment according to different negative pressure wind speeds.
Furthermore, an air speed sensor is installed in the shaft and adjacent to the wind wheel, detects the air speed in the shaft, is connected with the central processing unit, and sends acquired data to the central processing unit.
Furthermore, the system also comprises a solar panel, wherein the solar panel converts solar energy into electric energy and provides auxiliary electric power support for the wind wheel and electrical equipment in the tunnel.
Further, the fire detection sensor is installed in a tunnel, the fire detection sensor including: the temperature sensor measures a temperature value in the shaft, the smoke sensor detects whether smoke is generated in the ventilation pipe, and the temperature sensor and the smoke sensor are both connected with the central processing unit.
Further, the air quality detection equipment comprises a plurality of gas detection sensors for detecting CO and CO in the air in the tunnel2、NO、NO2PM1, PM5, PM10, and the air temperature and the air humidity, and the detection results are sent to the cpu.
Further, the automatic fire fighting system in the tunnel comprises a sprayer, and when a fire breaks out, the sprayer starts to spray water.
Furthermore, the central processing unit collects temperature data and smoke detection data, when the temperature rises abnormally and smoke is generated, fire alarm information is sent out, the concentration of each component in the air collected by the air quality detection equipment is compared with a standard value, alarm information is sent out after a set threshold value is exceeded, the wind wheel is controlled to rotate fast, the concentration of the overproof component in the air is diluted, an automatic fire fighting system is started, meanwhile, the central processing unit stores the collected data in a database, historical data are analyzed, a prediction model is trained, and early warning is conveniently sent out in advance according to the data collected in real time.
The utility model has the advantages of as follows:
the utility model discloses a tunnel ventilation intelligence control system forms the negative pressure ventilation through the chimney effect, makes the negative pressure convulsions more stable through the wind wheel simultaneously, promotes negative pressure ventilation effect, sets up solar panel, turns into the electric energy with solar energy, for wind wheel and various sensor power supplies, reduces the consumption to traditional electric power, realizes the energy-conservation of whole system. Whether the fire detection sensor carries out real-time detection to the conflagration of whether taking place in the tunnel, in time send the warning to start automatic fire extinguishing system, detect each composition of air in the tunnel through air quality detection equipment, carry out the early warning and in time dilute the composition that exceeds standard, avoid causing the harm to the human body. A prediction model established by utilizing the collected historical data can make prejudgment on the collected data in time and early warn in advance.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structure, ratio, size and the like shown in the present specification are only used for matching with the content disclosed in the specification, so as to be known and read by people familiar with the technology, and are not used for limiting the limit conditions which can be implemented by the present invention, so that the present invention has no technical essential significance, and any structure modification, ratio relationship change or size adjustment should still fall within the scope which can be covered by the technical content disclosed by the present invention without affecting the efficacy and the achievable purpose of the present invention.
Fig. 1 is a schematic diagram illustrating a connection of a central processing unit of an intelligent control system for tunnel ventilation according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent control system for tunnel ventilation according to an embodiment of the present invention;
in the figure: the system comprises a wind speed sensor 1, a fire monitoring sensor 2, an air quality detection device 3, a central processing unit 4, a wind wheel 5, a vertical shaft 6, a ventilation pipe 7, a solar panel 8, an electromagnetic valve 9 and a sprayer 10.
Detailed Description
The present invention is described in terms of specific embodiments, and other advantages and benefits of the present invention will become apparent to those skilled in the art from the following disclosure. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Examples
The embodiment discloses a tunnel ventilation intelligence control system, the system includes: conflagration detection sensor 2, air quality check out test set 3 and central processing unit 4, institute conflagration detection sensor 2 and air quality check out test set 3 are installed in the tunnel, and ventilation pipe 7 in shaft 6 and the tunnel links to each other, makes and forms the negative pressure environment in the tunnel and ventilates, temperature and smog concentration in conflagration detection sensor 2 detection tunnel in time send conflagration information to central processing unit 4 after detecting the conflagration emergence, the concentration of various compositions in the air in air quality check out test set 3 detection tunnel sends the testing result to central processing unit 4.
Be provided with ventilation pipe 7 in the tunnel, ventilation pipe 7 and shaft 6 intercommunication form the negative pressure convulsions, install solenoid valve 9 on the ventilation pipe 7, solenoid valve 9 is connected with central processing unit 4, and through central processing unit 4 control solenoid valve 9's the degree of opening and shutting, ventilation wind speed in the regulation tunnel realizes the ventilation function in tunnel, in time with the harmful gas discharge in the tunnel. A plurality of ventilation holes are formed in the pipe wall of the ventilation pipe 7, and the ventilation holes can promote quick exhaust and ventilation.
Through setting up solar panel 8, turn into the electric energy with solar energy, provide auxiliary power to electrical equipment in wind wheel 6 and the tunnel and support, in this embodiment, can provide power supply for wind wheel 5, energy saving consumption. The power generation can be carried out by utilizing geothermal energy, wind energy and water energy in a conditional area, and more electric power support is provided. An electromagnetic valve 9 is installed on the ventilation pipe 7, the electromagnetic valve 9 is connected with the central processing unit 4, the opening and closing degree of the electromagnetic valve 9 is controlled through the central processing unit 4, and ventilation wind speed in the tunnel is adjusted. The geothermal energy, the wind energy and the water energy are utilized to generate electricity, the existing resources can be utilized to generate more electricity, the consumption of the traditional ionization is reduced, and the system is more energy-saving.
A fire detection sensor 2 is installed in the tunnel, the fire detection sensor 2 including: the temperature sensor measures the temperature value in the vertical shaft 6, the smoke sensor detects whether smoke is generated in the ventilation pipe 7, and the temperature sensor and the smoke sensor are both connected with the central processing unit 4. When the temperature sensor detects that the temperature rises abnormally and the smoke sensor detects that smoke is generated, the central processing unit 4 sends out fire alarm information in time. Once a fire is detected, the electromagnetic valve 9 at the corresponding position and the adjacent position is closed to prevent the fire from spreading, and the automatic fire fighting system in the tunnel is started and comprises a sprayer 10, and when the fire breaks out, the sprayer 10 starts to spray water.
The air quality detection device 3 comprises a plurality of gas detection sensors for detecting CO and CO in the air in the tunnel2、NO、NO2PM1, PM5, PM10, and the air temperature and the air humidity, the detection results are sent to the cpu 4. And comparing the concentration of each component with a standard value, judging whether the concentration exceeds the standard value, sending alarm information after judging that the concentration exceeds the standard value, accelerating the rotation of the wind wheel 5, accelerating the negative pressure ventilation and diluting the gas with the concentration exceeding the standard value.
Central processing unit 4 collects temperature data and smog detection data, when finding that the temperature rises unusually and produces smog, send fire alarm information, according to the concentration of each component in the air that air quality detection equipment 3 gathered, compare with the standard value, exceed and set for the threshold value after, send alarm information, and control wind wheel 5 and accelerate the rotation, dilute the concentration of the composition that exceeds standard in the air, and start automatic fire extinguishing system, central processing unit 4 simultaneously with the data storage of gathering in the database, analyze historical data, train the prediction model, be convenient for send the early warning in advance according to the data of real-time collection. The prediction model is trained by utilizing multiple groups of data, data generated in real time are input into the prediction model, and a database is continuously updated, so that the prediction model can adapt to actual conditions, is more sensitive and can be used for early warning.
Although the invention has been described in detail with respect to the general description and the specific embodiments, it will be apparent to those skilled in the art that modifications and improvements can be made based on the invention. Therefore, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. An intelligent control system for tunnel ventilation, the system comprising: conflagration detection sensor, air quality check out test set and central processing unit, conflagration detection sensor and air quality check out test set install in the tunnel, and the ventilation pipe in shaft and the tunnel links to each other, makes and forms the negative pressure environment in the tunnel and ventilates, temperature and smog concentration in the conflagration detection sensor detection tunnel in detect the conflagration and in time send conflagration information to central processing unit after taking place to start automatic fire extinguishing system in the tunnel, the concentration of various compositions in the air in air quality check out test set detection tunnel sends the testing result to central processing unit.
2. The intelligent control system for tunnel ventilation according to claim 1, wherein a ventilation pipe is arranged in the tunnel, the ventilation pipe is communicated with the shaft to form negative pressure air draft, an electromagnetic valve is arranged on the ventilation pipe and connected with the central processing unit, the opening and closing degree of the electromagnetic valve is controlled through the central processing unit, and the ventilation wind speed in the tunnel is adjusted.
3. The intelligent control system for tunnel ventilation as claimed in claim 2, wherein a plurality of ventilation holes are formed on the pipe wall of the ventilation pipe.
4. The intelligent control system for tunnel ventilation according to claim 1, wherein a wind wheel is installed at an air outlet of the vertical shaft, the wind wheel is driven by a motor to rotate to assist in negative pressure air draft, and the wind wheel adjusts the rotating speed according to different negative pressure wind speeds.
5. An intelligent control system for tunnel ventilation as claimed in claim 1, wherein an air velocity sensor is mounted in the shaft adjacent to the wind wheel, the air velocity sensor detects the air velocity in the shaft and is connected with the central processing unit, and the acquired data is sent to the central processing unit.
6. The intelligent control system for tunnel ventilation of claim 1, further comprising a solar panel that converts solar energy to electrical energy to provide auxiliary electrical support for the wind turbine and electrical equipment within the tunnel.
7. The intelligent control system for tunnel ventilation according to claim 1, wherein the fire detection sensor is installed in the tunnel, the fire detection sensor comprising: the temperature sensor measures a temperature value in the shaft, the smoke sensor detects whether smoke is generated in the ventilation pipe, and the temperature sensor and the smoke sensor are both connected with the central processing unit.
8. The intelligent control system for tunnel ventilation according to claim 1, wherein the air quality detection device comprises a plurality of gas detection sensors for detecting CO and CO in the air in the tunnel2、NO、NO2PM1, PM5, PM10, and the air temperature and the air humidity, and the detection results are sent to the cpu.
9. The intelligent control system for tunnel ventilation of claim 1, wherein the automatic fire fighting system in the tunnel comprises a sprinkler, and the sprinkler starts to spray water in case of fire.
10. The intelligent control system for tunnel ventilation as claimed in claim 1, wherein the central processing unit collects temperature data and smoke detection data, when the temperature is abnormally increased and smoke is generated, a fire alarm message is sent out, the concentration of each component in the air collected by the air quality detection device is compared with a standard value, after a set threshold value is exceeded, the alarm message is sent out, the wind wheel is controlled to rotate fast, the concentration of the overproof component in the air is diluted, the automatic fire protection system is started, meanwhile, the central processing unit stores the collected data in a database, historical data are analyzed, a prediction model is trained, and early warning is conveniently sent out in advance according to the data collected in real time.
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| CN202120498059.3U CN214464318U (en) | 2021-03-09 | 2021-03-09 | Tunnel ventilation intelligence control system |
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| CN202120498059.3U CN214464318U (en) | 2021-03-09 | 2021-03-09 | Tunnel ventilation intelligence control system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113931679A (en) * | 2021-11-24 | 2022-01-14 | 甘肃新网通科技信息有限公司 | Temperature-sensing tunnel intelligent fire-fighting device |
| CN114215576A (en) * | 2021-12-10 | 2022-03-22 | 北京住总建设安装工程有限责任公司 | Shock-absorbing noise-reducing ventilation system for subway tunnel |
| CN115238365A (en) * | 2022-09-07 | 2022-10-25 | 西南交通大学 | Tunnel post-disaster damage early warning method and system based on dynamic deep learning |
| CN118447639A (en) * | 2024-07-08 | 2024-08-06 | 中交第二公路工程局有限公司 | Intelligent fire-fighting safety pre-warning device for expressway tunnel |
-
2021
- 2021-03-09 CN CN202120498059.3U patent/CN214464318U/en active Active
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113931679A (en) * | 2021-11-24 | 2022-01-14 | 甘肃新网通科技信息有限公司 | Temperature-sensing tunnel intelligent fire-fighting device |
| CN113931679B (en) * | 2021-11-24 | 2024-04-30 | 甘肃新网通科技信息有限公司 | Intelligent fire control device for temperature sensing tunnel |
| CN114215576A (en) * | 2021-12-10 | 2022-03-22 | 北京住总建设安装工程有限责任公司 | Shock-absorbing noise-reducing ventilation system for subway tunnel |
| CN114215576B (en) * | 2021-12-10 | 2024-04-05 | 北京住总建设安装工程有限责任公司 | Subway tunnel vibration/noise reduction type ventilation system |
| CN115238365A (en) * | 2022-09-07 | 2022-10-25 | 西南交通大学 | Tunnel post-disaster damage early warning method and system based on dynamic deep learning |
| CN118447639A (en) * | 2024-07-08 | 2024-08-06 | 中交第二公路工程局有限公司 | Intelligent fire-fighting safety pre-warning device for expressway tunnel |
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