CN-117449898-B - Intelligent spraying dust suppression method based on multi-environment parameter regulation and control

Abstract

The invention discloses an intelligent spraying dust suppression method based on multi-environment parameter regulation, which comprises the following steps of firstly, obtaining pictures of all positions to be monitored in a tunnel to determine an overall gray value A of the pictures, secondly, obtaining a construction sound signal B in the tunnel and comparing the construction sound with construction sound of a standard operation procedure, thirdly, distributing the regional gray value A of more than 80% in the pictures between 50-220, starting a spraying dust suppression system when the sound similarity of the sound signal B and the standard operation procedure reaches more than 90%, and executing the fourth-fifth steps after the spraying dust suppression system is closed, and if the sound similarity of the sound signal B and the standard operation procedure does not reach the values, continuing to execute the third-sixth steps. By adopting the method, the precise control of the tunneling dust is realized, the water resource is saved, and the dust falling cost is reduced.

Inventors

• WANG DONG
• FENG XIAOHAI
• ZHANG YUNLONG
• Zhao xiwang
• WU YUANJIN
• MA GUODONG
• XIAO XUCHENG
• YI DINGDA
• WANG ZHUO
• HUANG JIAXUAN
• ZHANG JIANGSHI
• XIANG DONG
• YANG DONG
• ZHOU CHUANCHUAN
• JIA HONGFU

Assignees

• 中铁隧道局集团有限公司
• 中铁隧道勘察设计研究院有限公司

Dates

Publication Date

20260512

Application Date

20230919

Claims (4)

1. 1. An intelligent spray dust suppression method based on multi-environment parameter regulation is characterized by comprising the following steps: Step one, obtaining pictures at all positions to be monitored in a tunnel, determining an overall gray value A of the pictures, setting the gray value of pure white in the pictures to be 255 and setting the gray value of pure black to be 0; Step two, acquiring a construction sound signal B in the tunnel, and comparing the construction sound signal B with construction sound of a standard operation procedure to obtain a ratio B; step three, distributing the gray value A of more than 80% in the picture between 50-220, starting a spraying dust suppression system when the voice signal B and the voice similarity of the standard operation procedure reach more than 90%, and executing the step three-step six after closing; Step four, under a certain working procedure, respectively measuring the average dust concentration value of the positions of the pedestrian breathing surfaces at different distances from the tunnel surface to be C 0 , the average wind speed of tunnels at the corresponding positions to be V 0 , the ambient air pressure value to be P 0 and the relative humidity value to be And the air-water spraying parameter with the highest corresponding dust-settling efficiency is determined to be the air pressure p 0 and the water pressure p 1 ; Under the corresponding working conditions, the dust concentration C, the tunnel wind speed V, the ambient air pressure P and the relative humidity of the part to be monitored in the tunnel are obtained Setting an offset parameter N 1 ,N 2 ,N 3 ,N 4 according to the following calculation modes: N 1 ＝C/C 0 (1); N 2 ＝V/V 0 (2); N 3 ＝P/P 0 (3); Wherein N 1 is a dust concentration offset parameter, N 2 is a tunnel wind speed offset parameter, N 3 is an ambient air pressure offset parameter, and N 4 is a relative humidity offset parameter; Step five, according to the parameters in the step four, calculating a spray air pressure water pressure calculation formula under the working condition as follows: p g ＝(M 1 N 1 +M 2 N 2 -M 3 N 3 -M 4 N 4 )×p 0 (5) p w ＝(M 1 N 1 +M 2 N 2 -M 3 N 3 -M 4 N 4 )×p 1 (6) Wherein, p g is the optimal spray pressure under the corresponding working condition, and p w is the optimal spray pressure under the corresponding working condition; The weights of the dust concentration, the tunnel wind speed, the ambient air pressure and the relative humidity on the influence of the spraying effect are respectively M 1 ,M 2 ,M 3 , M 4 ,M 1 ,M 2 ,M 3 and M 4 , wherein the values of the weights are 0-3, and M 1 >M 2 >M 3 >M 4 ; and step six, taking the optimal spraying air pressure and the optimal spraying water pressure in the step five as set values, and spraying water to the position to be monitored in the tunnel under the set values.
2. 2. The intelligent spray dust suppression method based on multi-environment parameter regulation and control according to claim 1, wherein in the fourth step, three people's breathing surface positions at different distances from the face are selected.
3. 3. The intelligent spray dust suppression method based on multi-environment parameter regulation and control according to claim 2, wherein in the sixth step, a spray dust suppression system is adopted to spray water to a place to be monitored in a tunnel; The spray dust suppression system comprises a tunneling dust identification primary response device, an induction device and a grading regulation and control spray dust removal device; The tunneling dust identification primary response device comprises: the intelligent cameras (1) are arranged at dust source positions of all positions to be monitored in the tunnel, and all the intelligent cameras (1) are connected with the OpenCV module (13), wherein the intelligent cameras (1) are used for acquiring video images of key dust source positions at fixed time and transmitting the video images to the OpenCV module (13); a sound response sensor (6) which is installed near the tunnel face and is used for acquiring the sound of the process of large tunnel dust emission amount; The induction device comprises: the dust concentration sensors (2) are arranged in the dust source positions and the personnel gathering areas of the areas to be monitored in the tunnel and are used for acquiring the dust concentration of the areas to be monitored in the tunnel; The tunnel wind speed sensors (3) are arranged in multiple groups at intervals along the trend of the tunnel, and the plurality of the tunnel wind speed sensors (3) in each group are positioned on the same cross section of the tunnel and are arranged at intervals and are used for acquiring the wind speeds at the positions of the cross sections of different tunnels; the ambient air pressure sensor (4) is arranged at a position to be monitored in the tunnel and is used for acquiring the value of the ambient air pressure in the tunnel; the air humidity sensors (5) are arranged at the positions of the spraying key positions and the operation areas in the tunnel and used for acquiring the relative humidity of air; The data transcoding system (7) is used for receiving the data acquired by each sensor and converting the data into data types which can be operated by the intelligent control system (8); The hierarchical regulation and control spraying dust collector includes: the intelligent control system (8) is used for receiving the data transmitted by each sensor, calculating and matching optimal spraying parameters by combining the tunnel wind speed, the air pressure and the relative humidity in the tunnel when the dust concentration reaches a set value, and outputting signals; the intelligent control system (8) is also used for carrying out similarity identification according to the voice signals and identifying the type of operation carried out in the tunnel; The tunnel water pipe air pipe (12) is arranged in the tunnel, the tail water outlet end of the tunnel water pipe air pipe extends into each area to be detected and is connected with the spray nozzle (10), the water supply pipeline is provided with intelligent pressure control electromagnetic valves (11), and each intelligent pressure control electromagnetic valve (11) is connected with the intelligent control system (8).
4. 4. An intelligent spray dust suppression method based on multi-environment parameter regulation and control as claimed in claim 3, further comprising a multi-degree-of-freedom servo motor (9) connected with the spray nozzle and used for receiving an electric signal of data output by the intelligent control system (8) and driving the spray nozzle to move.

Description

Intelligent spraying dust suppression method based on multi-environment parameter regulation and control Technical Field The invention belongs to the technical field of tunnel construction dust treatment, and particularly relates to an intelligent spraying dust suppression method based on multi-environment parameter regulation. Background The high-altitude extra-long tunnel is in a high-cold low-pressure environment in a high-altitude area, so that the transportation rule of tunnel dust is changed, and the problem of accurate and efficient dust treatment during tunnel construction is particularly outstanding. Therefore, during the production operation in the high-altitude tunneling process, the dust control technology is reasonably optimized, and the dust control technology is vital to the physical and psychological health of operators. According to the technical principle of dust control and the difference of the diffusion process of dust in a tunnel, dust removal is divided into technical means such as reduction, drop, discharge, removal, resistance and the like. The conventional ventilation mode is difficult to control dust at all parts of the tunnel efficiently, and the individual protection technology is unfavorable for heavy physical labor in the tunnel, so that safety production accidents are generated. According to related researches, the most economical and effective means for controlling dust is a spraying method in the water mist dust fall technology. However, in the process of spraying and dust falling on site, the spraying parameters are fixed, and the automatic adjustment of the spraying parameters cannot be performed according to the actual conditions on site, so that the dust falling effect is poor, water resources are wasted, and the dust falling cost is high. Disclosure of Invention The invention aims to provide an intelligent spraying dust suppression method based on multi-environment parameter regulation, which realizes the accurate treatment of tunneling dust, saves water resources and reduces dust fall cost. The intelligent spray dust suppression method based on the multi-environment parameter regulation adopts the following technical scheme that the method comprises the following steps: Step one, obtaining pictures at all positions to be monitored in a tunnel, determining an overall gray value A of the pictures, setting the gray value of pure white in the pictures to be 255 and setting the gray value of pure black to be 0; Step two, acquiring a construction sound signal B in the tunnel, and comparing the construction sound signal B with construction sound of a standard operation procedure to obtain a ratio B; step three, distributing the gray value A of more than 80% in the picture between 50-220, starting a spraying dust suppression system when the voice signal B and the voice similarity of the standard operation procedure reach more than 90%, and executing the step three-step six after closing; Step four, under a certain working procedure, respectively measuring the average dust concentration value of the positions of the pedestrian breathing surfaces at different distances from the tunnel surface to be C 0, the average wind speed of tunnels at the corresponding positions to be V 0, the ambient air pressure value to be P 0 and the relative humidity value to be And the air-water spraying parameter with the highest corresponding dust-settling efficiency is determined to be the air pressure p 0 and the water pressure p 1; Under the corresponding working conditions, the dust concentration C, the tunnel wind speed V, the ambient air pressure P and the relative humidity of the part to be monitored in the tunnel are obtained Setting an offset parameter N 1,N2,N3,N4 according to the following calculation modes: N1＝C/C0(1); N2＝V/V0(2); N3＝P/P0(3); Wherein N 1 is a dust concentration offset parameter, N 2 is a tunnel wind speed offset parameter, N 3 is an ambient air pressure offset parameter, and N 4 is a relative humidity offset parameter; Step five, according to the parameters in the step four, calculating a spray air pressure water pressure calculation formula under the working condition as follows: pg＝(M1N1+M2N2-M2N2-M4N4)×p0(5) pw＝(M1N1+M2N2-M3N3-M4N4)×p1(6) Wherein, p g is the optimal spray pressure under the corresponding working condition, and p w is the optimal spray pressure under the corresponding working condition; The weights of the dust concentration, the tunnel wind speed, the ambient air pressure and the relative humidity on the influence of the spraying effect are respectively M 1,M2,M3, M 4,M1,M2,M3 and M 4, wherein the values of the weights are 0-3, and M 1>M2>M3>M4; And step six, taking the optimal spraying air pressure and the optimal spraying water pressure in the step two as set values, and spraying water to the position to be monitored in the tunnel under the set values. Further, in the fourth step, three positions of the pedestrian breathing surface at different dist