Intelligent environment monitoring system for tunnel construction site

Abstract

The invention discloses an intelligent environment monitoring system for a tunnel construction site, which belongs to the technical field of tunnel environment monitoring and comprises an information acquisition module, an information processing module and an execution module. The information acquisition module is used for acquiring information required by the system; the information processing module is used for storing, analyzing and transmitting information of each module; the execution module is used for executing the information of the information processing module; the information acquisition module comprises an environment information unit and an equipment information unit; the information processing module comprises an information storage unit, an information analysis unit and an information transmission unit; the execution module comprises a display unit and a control unit; the temperature, humidity and dust concentration of a tunnel construction site are monitored and analyzed in real time, the quality of concrete is effectively improved, and the overall quality and durability of a tunnel are guaranteed; meanwhile, the dust concentration is effectively controlled, and the working safety of a construction site is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of tunnel environment monitoring, and in particular relates to an intelligent environment monitoring system for a tunnel construction site. Background Art

[0002] Tunnel construction environment monitoring is an important part of ensuring construction safety and improving project quality. Through real-time monitoring of the construction environment, potential safety hazards can be discovered in a timely manner, providing valuable data support for the construction team to avoid accidents. At the same time, monitoring data can also provide reference for subsequent engineering design, construction and management, which helps to improve the overall quality and durability of the tunnel.

[0003] Tunnel construction includes excavation, filling, maintenance and other construction stages. During the filling stage, it is usually necessary to configure specific concrete at the construction site and close the area to maintain the temperature and humidity of the construction site to ensure the quality of the concrete and the overall quality and durability of the tunnel. However, when the construction equipment configures the specific concrete, a large amount of dust will be generated. When ventilation equipment is used for ventilation, the dust is taken away and the temperature and humidity of the construction site are difficult to maintain, which reduces the overall quality and durability of the tunnel.

[0004] Therefore, people are in urgent need of an intelligent environment monitoring system for tunnel construction sites to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent environment monitoring system for a tunnel construction site to solve the problems raised in the above-mentioned background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] An intelligent environment monitoring system for a tunnel construction site, the system comprising an information collection module, an information processing module and an execution module;

[0008] The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

[0009] According to the above technical solution, the information collection module includes an environment information unit and a device information unit;

[0010] The environmental information unit is used to collect historical data information and real-time data information of temperature, humidity and dust concentration in the monitored site; the equipment information unit is used to collect historical data information and real-time data information of ventilation equipment in the monitored site.

[0011] According to the above technical solution, the information processing module includes an information storage unit, an information analysis unit and an information transmission unit;

[0012] The information storage unit is used for information storage of each module in the system; the information analysis unit is used for information analysis of each module in the system; and the information transmission unit is used for information transmission of each module in the system.

[0013] According to the above technical solution, the execution module includes a display unit and a control unit;

[0014] The display unit is used to display the temperature, humidity and dust concentration of the site to be monitored to form visual data; the control unit is used to control the ventilation equipment.

[0015] According to the above technical solution, the information analysis process of the information analysis unit includes the following steps:

[0016] S1. Collect the temperature and humidity range required by the site to be monitored, analyze the temperature and humidity target values ​​of the site to be monitored, and calculate the wet-bulb temperature variation range and target wet-bulb temperature of the site to be monitored;

[0017] S2. Collect the ventilation opening area, safe power range and historical ventilation records of the ventilation equipment in the monitored site, analyze the relationship between the ventilation volume and equipment power of the ventilation equipment in the monitored site, and the ventilation volume range of the ventilation equipment in the monitored site;

[0018] S3. Record the start time of the construction work at the site to be monitored and the amount of concrete configured, and obtain the initial dust concentration at the site to be monitored; collect the real-time equipment power of the ventilation equipment, and analyze the real-time ventilation volume of the ventilation equipment; collect the real-time temperature and humidity at the site to be monitored, and analyze the real-time wet-bulb temperature at the site to be monitored;

[0019] S4. Analyze the real-time impact of the ventilation equipment according to the wet-bulb temperature variation range of the site to be monitored, the target wet-bulb temperature of the site to be monitored, the ventilation volume range of the ventilation equipment in the site to be monitored, and the initial ventilation volume of the ventilation equipment;

[0020] S5. Collect the real-time dust concentration of the site to be monitored, analyze the real-time dust changes of the site to be monitored based on the concrete configuration of the facility workers at the site to be monitored, the initial dust concentration of the site to be monitored and the real-time impact of the ventilation equipment; adjust the ventilation equipment according to the real-time dust changes.

[0021] According to the above technical solution, the specific process of step S1 is as follows:

[0022] S1-1, the temperature and humidity range includes a temperature range and a humidity range; the temperature and humidity target values ​​include a temperature target value and a humidity target value;

[0023] The temperature range required by the site to be monitored is recorded as [T min , Tmax ]; where T min Indicates the minimum temperature required for the site to be monitored; P max Indicates the maximum temperature required for the site to be monitored;

[0024] The humidity range required for the site to be monitored is recorded as [H min , H max ]; among them, H min Indicates the minimum humidity required for the site to be monitored; H max Indicates the maximum humidity required at the site to be monitored;

[0025] S1-2, according to the temperature range required by the site to be monitored [T min , T max ], calculate the temperature target value of the monitored site, the specific calculation formula is T target =(T min +T max ) / 2×α1; where T target represents the temperature target value of the site to be monitored; α1 represents the system preset parameter;

[0026] According to the humidity range required by the monitored site [H min , H max ], calculate the temperature target value of the site to be monitored, the specific calculation formula is H target =(H min +H max ) / 2×α2; where H target represents the temperature target value of the site to be monitored; α2 represents the system preset parameter;

[0027] S1-3. Establish a wet-bulb temperature calculation model, as follows: G out =T int ×arctan{β1×(H int +β2) β3}+arctan(T int +H int )-arctan(H int -β4)+β5×(H int ) β6 ×arctan(β7×H int )-β8; among them, G out Indicates the output wet bulb temperature; T int Indicates the input temperature; H int Indicates the input humidity; β1, β2, β3, β4, β5, β6, β7 and β8 are all system preset parameters;

[0028] The wet-bulb temperature reflects the evaporation capacity of water in the air. Using the wet-bulb temperature as an influencing condition for data analysis during tunnel filling construction can not only ensure that the evaporation rate of concrete is within a reasonable range, thereby avoiding cracks caused by too rapid drying and concrete strength and durability problems caused by excessive temperature, but also evaluate the ventilation effect of ventilation equipment to maintain a suitable temperature and humidity in the working environment, ensuring construction safety and worker comfort.

[0029] S1-4, T max The value of T int And H max The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the maximum wet bulb temperature of the site to be monitored, denoted as G max ;

[0030] T min The value of T int And H min The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the minimum wet bulb temperature of the site to be monitored, denoted as G min ;

[0031] The wet bulb temperature variation range of the monitored site is [G min , G max ];

[0032] T target The value of T int And H target The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the target wet-bulb temperature of the site to be monitored, denoted as G target .

[0033] According to the above technical solution, the specific process of step S2 is as follows:

[0034] S2-1, the historical ventilation records include equipment power and vent airflow velocity;

[0035] The ventilation opening area of ​​the ventilation equipment in the monitored site is recorded as S;

[0036] The safe power range of the ventilation equipment in the monitored site is recorded as [P min , P max ]; where P min Indicates the minimum safe power of the ventilation equipment in the monitored site; Pmax Indicates the maximum safe power of the ventilation equipment in the monitored site;

[0037] The equipment power in the ath historical ventilation record of the ventilation equipment in the monitored site is recorded as P1 a ; The airflow velocity at the vent in the ath historical ventilation record of the ventilation equipment in the monitored site is recorded as V1 a ; Calculate the ventilation volume of the ventilation equipment in each historical ventilation record in the monitored site. The specific calculation formula is: Q1 a =S×V1 a ; Among them, Q1 a It indicates the ventilation volume of the ventilation equipment in the monitored site in the ath historical ventilation record;

[0038] S2-2, establish a neural network model, and compare the P1 corresponding to each historical ventilation record of the ventilation equipment in the monitored site a As input, the Q1 corresponding to each historical ventilation record of the ventilation equipment in the monitored site a As output, the neural network model is trained; the relationship between the ventilation volume of the ventilation equipment and the equipment power is obtained;

[0039] The neural network model can be trained through historical data to learn the influence relationship between the ventilation volume and equipment power of the ventilation equipment; the model can be continuously updated to adapt to the changes of ventilation equipment in different construction sites, making the adjustment of ventilation equipment more accurate;

[0040] S2-3, the safe power range of the ventilation equipment in the monitored site corresponds to P min , input the trained neural network model, and output the minimum ventilation volume of the ventilation equipment in the monitored site, recorded as Q min ; Set the P corresponding to the safe power range of the ventilation equipment in the monitored site max , input the trained neural network model, and output the maximum ventilation volume of the ventilation equipment in the monitored site, recorded as Q max ; The ventilation volume range of the ventilation equipment in the monitored site is [Q min , Q max ].

[0041] According to the above technical solution, the specific process of step S3 is as follows:

[0042] S3-1, the start time of the on-site construction worker to be monitored is recorded as time t0; the amount of concrete configured by the on-site construction worker to be monitored is recorded as A;

[0043] Concrete configuration refers to the volume of concrete that construction equipment needs to use each time;

[0044] Collect the dust concentration of the monitored site at time t0 as the initial dust concentration of the monitored site, denoted as C t0 ;

[0045] S3-2, record the current time as time t1; record the real-time equipment power of the ventilation equipment at time t1 as P2 t1 ;

[0046] The real-time power of the ventilation equipment P2 t1 , input the trained neural network model, and output the real-time ventilation volume of the ventilation equipment, recorded as Q2 t1 ;

[0047] S3-3, the real-time temperature of the monitored site at time t1 is recorded as T1 t1 ; The real-time humidity of the monitored site at time t1 is recorded as H1 t1 ;

[0048] T1 t1 The value of T int And H1 t1 The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the real-time wet-bulb temperature of the monitored site at time t1, denoted as G1 t1 .

[0049] According to the above technical solution, the specific process of step S4 is as follows:

[0050] According to the real-time wet-bulb temperature G1 of the monitored site at time t1 t1 , Target wet bulb temperature G of the site to be monitored target , the maximum wet bulb temperature G of the site to be monitored max , the maximum ventilation volume Q of the ventilation equipment in the monitored site max And the real-time ventilation volume Q2 of the ventilation equipment t1 , calculate the real-time influence of ventilation equipment at time t1, the specific calculation formula is: F t1 =1-γ×{(G target -G1 t1 ) / (G max -G1 t1 )+Q2 t1 / Q max}; where F t1 represents the real-time influence of the ventilation equipment at time t1; γ represents the system preset parameter;

[0051] The real-time impact of ventilation equipment reflects the changes in real-time wet-bulb temperature and real-time ventilation volume, and their impact on real-time dust changes, providing data support for subsequent adjustments to ventilation equipment.

[0052] According to the above technical solution, the specific process of step S5 is as follows:

[0053] S5-1. The real-time dust concentration at the monitored site at time t1 is recorded as C1 t1 ; Combined with the concrete configuration amount A of the facility to be monitored, the initial dust concentration C of the site to be monitored t0 And the real-time influence of ventilation equipment at time t1 F t1 , calculate the real-time dust change at the monitored site at time t1, the specific calculation formula is: R t1 =δ×A×(1+C1 t1 / C t0 )×F t1 ; Among them, R t1 It indicates the real-time dust change at the monitored site at time t1; δ indicates the preset parameters of the system;

[0054] Dust changes reflect the changes in dust concentration in the air at the construction site, that is, the fluctuations in air pollution levels. Combined with the real-time status of equipment and environment, it can not only more accurately and quickly reflect sudden changes in dust concentration, but also more comprehensively consider changes in temperature and humidity in the environment.

[0055] S5-2. Set the dust concentration safety threshold of the site to be monitored, denoted as C safe ;

[0056] According to the real-time dust change R at the monitored site at time t1 t1 , adjust the ventilation equipment and adjust the ventilation volume of the ventilation equipment after time t1 to Q3 adjust，t1 =ε1×R t1 ×(C1 t1 / C safe -1)+ε2×Q2 t1 Among them, Q3 adjust，t1 Indicates the ventilation volume of the ventilation equipment after time t1; ε1 and ε2 both represent the system preset parameters;

[0057] By measuring the real-time dust concentration C1 at the monitored site at time t1 t1 The dust concentration safety threshold C of the site to be monitored safe Compare and calculate, when C1 t1 More than C safe When combined with R t1 , increase the ventilation volume to reduce dust concentration while maintaining the temperature and humidity of the construction environment;

[0058] By integrating multiple factors into one function, comprehensively considering the impact of equipment and environment on dust concentration changes, and dynamically adjusting the ventilation equipment according to real-time dust changes, while ensuring temperature and humidity, while ensuring that the dust concentration is within a safe range, not only improves the overall quality and durability of the tunnel, but also ensures the construction safety of construction workers.

[0059] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0060] The present invention realizes precise management of the construction environment by real-time monitoring and analysis of the temperature, humidity and dust concentration at the tunnel construction site. It comprehensively considers the operating data of the ventilation equipment and adjusts the ventilation equipment in real time to ensure that the temperature and humidity at the construction site remain within an ideal range, thereby effectively improving the quality of concrete and ensuring the overall quality and durability of the tunnel. At the same time, it realizes effective control of dust concentration, reduces the impact of dust on the environment and personnel during construction, and improves work safety and comfort at the construction site.

[0061] In summary, the present invention improves the monitoring accuracy of the construction environment, ensures the quality of concrete and improves the overall quality of the tunnel, while optimizing resource management and enhancing construction safety, and has significant technical advantages and application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 It is a structural schematic diagram of an intelligent environment monitoring system for a tunnel construction site of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] See also Figure 1 , the present invention provides a technical solution:

[0066] An intelligent environment monitoring system for a tunnel construction site, the system comprising an information collection module, an information processing module and an execution module;

[0067] The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

[0068] According to the above technical solution, the information collection module includes an environment information unit and a device information unit;

[0069] The environmental information unit is used to collect historical data information and real-time data information of temperature, humidity and dust concentration in the monitored site; the equipment information unit is used to collect historical data information and real-time data information of ventilation equipment in the monitored site.

[0070] According to the above technical solution, the information processing module includes an information storage unit, an information analysis unit and an information transmission unit;

[0071] The information storage unit is used for information storage of each module in the system; the information analysis unit is used for information analysis of each module in the system; and the information transmission unit is used for information transmission of each module in the system.

[0072] According to the above technical solution, the execution module includes a display unit and a control unit;

[0073] The display unit is used to display the temperature, humidity and dust concentration of the site to be monitored to form visual data; the control unit is used to control the ventilation equipment.

[0074] According to the above technical solution, the information analysis process of the information analysis unit includes the following steps:

[0075] S1. Collect the temperature and humidity range required by the site to be monitored, analyze the temperature and humidity target values ​​of the site to be monitored, and calculate the wet-bulb temperature variation range and target wet-bulb temperature of the site to be monitored;

[0076] S2. Collect the ventilation opening area, safe power range and historical ventilation records of the ventilation equipment in the monitored site, analyze the relationship between the ventilation volume and equipment power of the ventilation equipment in the monitored site, and the ventilation volume range of the ventilation equipment in the monitored site;

[0077] S3. Record the start time of the construction work at the site to be monitored and the amount of concrete configured, and obtain the initial dust concentration at the site to be monitored; collect the real-time equipment power of the ventilation equipment, and analyze the real-time ventilation volume of the ventilation equipment; collect the real-time temperature and humidity at the site to be monitored, and analyze the real-time wet-bulb temperature at the site to be monitored;

[0078] S4. Analyze the real-time impact of the ventilation equipment according to the wet-bulb temperature variation range of the site to be monitored, the target wet-bulb temperature of the site to be monitored, the ventilation volume range of the ventilation equipment in the site to be monitored, and the initial ventilation volume of the ventilation equipment;

[0079] S5. Collect the real-time dust concentration of the site to be monitored, analyze the real-time dust changes of the site to be monitored based on the concrete configuration of the facility workers at the site to be monitored, the initial dust concentration of the site to be monitored and the real-time impact of the ventilation equipment; adjust the ventilation equipment according to the real-time dust changes.

[0080] According to the above technical solution, the specific process of step S1 is as follows:

[0081] S1-1, the temperature and humidity range includes a temperature range and a humidity range; the temperature and humidity target values ​​include a temperature target value and a humidity target value;

[0082] The temperature range required by the site to be monitored is recorded as [T min , T max ]; where T min Indicates the minimum temperature required for the site to be monitored; P max Indicates the maximum temperature required for the site to be monitored;

[0083] The humidity range required for the site to be monitored is recorded as [H min , H max ]; among them, H min Indicates the minimum humidity required for the site to be monitored; H max Indicates the maximum humidity required at the site to be monitored;

[0084] S1-2, according to the temperature range required by the site to be monitored [T min , T max ], calculate the temperature target value of the monitored site, the specific calculation formula is T target =(T min +T max ) / 2×α1; where T target represents the temperature target value of the site to be monitored; α1 represents the system preset parameter;

[0085] According to the humidity range required by the monitored site [H min , H max ], calculate the temperature target value of the site to be monitored, the specific calculation formula is H target =(H min +H max ) / 2×α2; where H target represents the temperature target value of the site to be monitored; α2 represents the system preset parameter;

[0086] S1-3. Establish a wet-bulb temperature calculation model, as follows: G out =T int ×arctan{β1×(H int +β2)β3}+arctan(T int +H int )-arctan(H int -β4)+β5×(H int ) β6 ×arctan(β7×H int )-β8; among them, G out Indicates the output wet bulb temperature; T int Indicates the input temperature; H int Indicates the input humidity; β1, β2, β3, β4, β5, β6, β7 and β8 are all system preset parameters;

[0087] The wet-bulb temperature reflects the evaporation capacity of water in the air. Using the wet-bulb temperature as an influencing condition for data analysis during tunnel filling construction can not only ensure that the evaporation rate of concrete is within a reasonable range, thereby avoiding cracks caused by too rapid drying and concrete strength and durability problems caused by excessive temperature, but also evaluate the ventilation effect of ventilation equipment to maintain a suitable temperature and humidity in the working environment, ensuring construction safety and worker comfort.

[0088] S1-4, T max The value of T int And H max The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the maximum wet bulb temperature of the site to be monitored, denoted as G max ;

[0089] T min The value of T int And H min The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the minimum wet bulb temperature of the site to be monitored, denoted as G min ;

[0090] The wet bulb temperature variation range of the monitored site is [G min , G max ];

[0091] T target The value of T int And H target The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the target wet-bulb temperature of the site to be monitored, denoted as G target ;

[0092] For example:

[0093] β1=0.15, β2=8.31, β3=0.5, β4=1.68, β5=0.0039, β6=1.5, β7=0.023 and β8=4.69, T target =30, H target =70;

[0094] T target The value of T int And H target The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out ≈30×0.924+1.570-1.558+2.730-4.69=25.76.

[0095] According to the above technical solution, the specific process of step S2 is as follows:

[0096] S2-1, the historical ventilation records include equipment power and vent airflow velocity;

[0097] The ventilation opening area of ​​the ventilation equipment in the monitored site is recorded as S;

[0098] The safe power range of the ventilation equipment in the monitored site is recorded as [P min , P max ]; where P min Indicates the minimum safe power of the ventilation equipment in the monitored site; P max Indicates the maximum safe power of the ventilation equipment in the monitored site;

[0099] The equipment power in the ath historical ventilation record of the ventilation equipment in the monitored site is recorded as P1 a ; The airflow velocity at the vent in the ath historical ventilation record of the ventilation equipment in the monitored site is recorded as V1 a ; Calculate the ventilation volume of the ventilation equipment in each historical ventilation record in the monitored site. The specific calculation formula is: Q1 a =S×V1 a Among them, Q1 a It indicates the ventilation volume of the ventilation equipment in the monitored site in the ath historical ventilation record;

[0100] S2-2, establish a neural network model, and compare the P1 corresponding to each historical ventilation record of the ventilation equipment in the monitored site a As input, the Q1 corresponding to each historical ventilation record of the ventilation equipment in the monitored site aAs output, the neural network model is trained; the relationship between the ventilation volume of the ventilation equipment and the equipment power is obtained; the neural network model can be trained through historical data to learn the influence relationship between the ventilation volume of the ventilation equipment and the equipment power; the model can be continuously updated to adapt to the changes of the ventilation equipment in different construction sites, making the adjustment of the ventilation equipment more accurate;

[0101] S2-3, the safe power range of the ventilation equipment in the monitored site corresponds to P min , input the trained neural network model, and output the minimum ventilation volume of the ventilation equipment in the monitored site, recorded as Q min ; Set the P corresponding to the safe power range of the ventilation equipment in the monitored site max , input the trained neural network model, and output the maximum ventilation volume of the ventilation equipment in the monitored site, recorded as Q max ; The ventilation volume range of the ventilation equipment in the monitored site is [Q min , Q max ].

[0102] According to the above technical solution, the specific process of step S3 is as follows:

[0103] S3-1, the start time of the on-site construction worker to be monitored is recorded as time t0; the amount of concrete configured by the on-site construction worker to be monitored is recorded as A;

[0104] Concrete configuration refers to the volume of concrete that construction equipment needs to use each time;

[0105] Collect the dust concentration of the monitored site at time t0 as the initial dust concentration of the monitored site, denoted as C t0 ;

[0106] S3-2, record the current time as time t1; record the real-time equipment power of the ventilation equipment at time t1 as P2 t1 ;

[0107] The real-time power of the ventilation equipment P2 t1 , input the trained neural network model, and output the real-time ventilation volume of the ventilation equipment, recorded as Q2 t1 ;

[0108] S3-3, the real-time temperature of the monitored site at time t1 is recorded as T1 t1 ; The real-time humidity of the monitored site at time t1 is recorded as H1 t1 ;

[0109] T1 t1 The value of T int And H1 t1 The value of H int, input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the real-time wet-bulb temperature of the monitored site at time t1, denoted as G1 t1 .

[0110] According to the above technical solution, the specific process of step S4 is as follows:

[0111] According to the real-time wet-bulb temperature G1 of the monitored site at time t1 t1 , Target wet bulb temperature G of the site to be monitored target , the maximum wet bulb temperature G of the site to be monitored max , the maximum ventilation volume Q of the ventilation equipment in the monitored site max And the real-time ventilation volume Q2 of the ventilation equipment t1 , calculate the real-time influence of ventilation equipment at time t1, the specific calculation formula is: F t1 =1-γ×{(G target -G1 t1 ) / (G max -G1 t1 )+Q2 t1 / Q max}; where F t1 represents the real-time influence of the ventilation equipment at time t1; γ represents the system preset parameter;

[0112] The real-time impact of ventilation equipment reflects the changes in real-time wet-bulb temperature and real-time ventilation volume, and their impact on real-time dust changes, providing data support for subsequent adjustments to ventilation equipment.

[0113] According to the above technical solution, the specific process of step S5 is as follows:

[0114] S5-1. The real-time dust concentration at the monitored site at time t1 is recorded as C1 t1 ; Combined with the concrete configuration amount A of the facility to be monitored, the initial dust concentration C of the site to be monitored t0 And the real-time influence of ventilation equipment at time t1 F t1 , calculate the real-time dust change at the monitored site at time t1, the specific calculation formula is: R t1 =δ×A×(1+C1 t1 / C t0 )×F t1 ; Among them, R t1 It indicates the real-time dust change at the monitored site at time t1; δ indicates the preset parameters of the system;

[0115] Dust changes reflect the changes in dust concentration in the air at the construction site, that is, the fluctuations in air pollution levels. Combined with the real-time status of equipment and environment, it can not only more accurately and quickly reflect sudden changes in dust concentration, but also more comprehensively consider changes in temperature and humidity in the environment.

[0116] S5-2. Set the dust concentration safety threshold of the site to be monitored, denoted as C safe ;

[0117] According to the real-time dust change R at the monitored site at time t1 t1 , adjust the ventilation equipment and adjust the ventilation volume of the ventilation equipment after time t1 to Q3 adjust，t1 =ε1×R t1 ×(C1 t1 / C safe -1)+ε2×Q2 t1 Among them, Q3 adjust，t1 Indicates the ventilation volume of the ventilation equipment after time t1; ε1 and ε2 both represent the system preset parameters;

[0118] By measuring the real-time dust concentration C1 at the monitored site at time t1 t1 The dust concentration safety threshold C of the site to be monitored safe Compare and calculate, when C1 t1 More than C safe When combined with R t1 , increase the ventilation volume to reduce dust concentration while maintaining the temperature and humidity of the construction environment;

[0119] By integrating multiple factors into one function, comprehensively considering the impact of equipment and environment on dust concentration changes, and dynamically adjusting the ventilation equipment according to real-time dust changes, while ensuring temperature and humidity, while ensuring that the dust concentration is within a safe range, not only improves the overall quality and durability of the tunnel, but also ensures the construction safety of construction workers.

[0120] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions recorded in the aforementioned embodiments, or to replace some of the technical features therein by equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent environment monitoring system for a tunnel construction site, characterized in that: The system includes an information collection module, an information processing module and an execution module; The information acquisition module is used to acquire the information required by the system; the information processing module is used to store, analyze and transmit the information of each module; and the execution module is used to execute the information of the information processing module.

2. The intelligent environment monitoring system for tunnel construction site according to claim 1, characterized in that: The information collection module includes an environment information unit and a device information unit; The environmental information unit is used to collect historical data information and real-time data information of temperature, humidity and dust concentration in the monitored site; the equipment information unit is used to collect historical data information and real-time data information of ventilation equipment in the monitored site.

3. The intelligent environment monitoring system for tunnel construction site according to claim 2 is characterized in that: The information processing module includes an information storage unit, an information analysis unit and an information transmission unit; The information storage unit is used for information storage of each module in the system; the information analysis unit is used for information analysis of each module in the system; and the information transmission unit is used for information transmission of each module in the system.

4. The intelligent environment monitoring system for tunnel construction site according to claim 3 is characterized in that: The execution module includes a display unit and a control unit; The display unit is used to display the temperature, humidity and dust concentration of the site to be monitored to form visual data; the control unit is used to control the ventilation equipment.

5. The intelligent environment monitoring system for tunnel construction site according to claim 4 is characterized in that: The information analysis process of the information analysis unit includes the following steps: S1. Collect the temperature and humidity range required by the site to be monitored, analyze the temperature and humidity target values ​​of the site to be monitored, and calculate the wet-bulb temperature variation range and target wet-bulb temperature of the site to be monitored; S2. Collect the ventilation opening area, safe power range and historical ventilation records of the ventilation equipment in the monitored site, analyze the relationship between the ventilation volume and equipment power of the ventilation equipment in the monitored site, and the ventilation volume range of the ventilation equipment in the monitored site; S3. Record the start time of the construction work at the site to be monitored and the amount of concrete configured, and obtain the initial dust concentration at the site to be monitored; collect the real-time equipment power of the ventilation equipment, and analyze the real-time ventilation volume of the ventilation equipment; collect the real-time temperature and humidity at the site to be monitored, and analyze the real-time wet-bulb temperature at the site to be monitored; S4. Analyze the real-time impact of the ventilation equipment according to the wet-bulb temperature variation range of the site to be monitored, the target wet-bulb temperature of the site to be monitored, the ventilation volume range of the ventilation equipment in the site to be monitored, and the initial ventilation volume of the ventilation equipment; S5. Collect the real-time dust concentration of the site to be monitored, analyze the real-time dust changes of the site to be monitored based on the concrete configuration of the facility workers at the site to be monitored, the initial dust concentration of the site to be monitored and the real-time impact of the ventilation equipment; adjust the ventilation equipment according to the real-time dust changes.

6. The intelligent environment monitoring system for tunnel construction site according to claim 5, characterized in that: The specific process of step S1 is as follows: S1-1, the temperature and humidity range includes a temperature range and a humidity range; the temperature and humidity target values ​​include a temperature target value and a humidity target value; The temperature range required by the site to be monitored is recorded as [T min , T max ]; where T min Indicates the minimum temperature required for the site to be monitored; P max Indicates the maximum temperature required for the site to be monitored; The humidity range required for the site to be monitored is recorded as [H min , H max ]; among them, H min Indicates the minimum humidity required for the site to be monitored; H max Indicates the maximum humidity required at the site to be monitored; S1-2, according to the temperature range required by the site to be monitored [T min , T max ], calculate the temperature target value of the monitored site, the specific calculation formula is T target =(T min +T max ) / 2×α1; where T target Indicates the temperature target value of the site to be monitored; α1 indicates the system preset parameter; According to the humidity range required by the monitored site [H min , H max ], calculate the temperature target value of the site to be monitored, the specific calculation formula is H target =(H min +H max ) / 2×α2; where H target represents the temperature target value of the site to be monitored; α2 represents the system preset parameter; S1-3. Establish a wet-bulb temperature calculation model, as follows: G out =T int ×arctan{β1×(H int +β2) β3 }+arctan(T int +H int )-arctan(H int -β4)+β5×(H int ) β6 ×arctan(β7×H int )-β8; among them, G out Indicates the output wet bulb temperature; T int Indicates the input temperature; H int Indicates the input humidity; β1, β2, β3, β4, β5, β6, β7 and β8 are all system preset parameters; S1-4, T max The value of T int And H max The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the maximum wet bulb temperature of the site to be monitored, denoted as G max ; T min The value of T int And H min The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the minimum wet bulb temperature of the site to be monitored, denoted as G min ; The wet bulb temperature variation range of the monitored site is [G min , G max ]; T target The value of T int And H target The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the target wet-bulb temperature of the site to be monitored, denoted as G target .

7. The intelligent environment monitoring system for tunnel construction site according to claim 6, characterized in that: The specific process of step S2 is as follows: S2-1, the historical ventilation records include equipment power and vent airflow velocity; The ventilation opening area of ​​the ventilation equipment in the monitored site is recorded as S; The safe power range of the ventilation equipment in the monitored site is recorded as [P min , P max ]; where P min Indicates the minimum safe power of the ventilation equipment in the monitored site; P max Indicates the maximum safe power of the ventilation equipment in the monitored site; The equipment power in the ath historical ventilation record of the ventilation equipment in the monitored site is recorded as P1 a ; The airflow velocity at the vent in the ath historical ventilation record of the ventilation equipment in the monitored site is recorded as V1 a ; Calculate the ventilation volume of the ventilation equipment in each historical ventilation record in the monitored site. The specific calculation formula is: Q1 a =S×V1 a ; Among them, Q1 a It indicates the ventilation volume of the ventilation equipment in the monitored site in the ath historical ventilation record; S2-2, establish a neural network model, and compare the P1 corresponding to each historical ventilation record of the ventilation equipment in the monitored site a As input, the Q1 corresponding to each historical ventilation record of the ventilation equipment in the monitored site a As output, the neural network model is trained; the relationship between the ventilation volume of the ventilation equipment and the equipment power is obtained; S2-3, the safe power range of the ventilation equipment in the monitored site corresponds to P min , input the trained neural network model, and output the minimum ventilation volume of the ventilation equipment in the monitored site, recorded as Q min ; Set the P corresponding to the safe power range of the ventilation equipment in the monitored site max , input the trained neural network model, and output the maximum ventilation volume of the ventilation equipment in the monitored site, recorded as Q max ; The ventilation volume range of the ventilation equipment in the monitored site is [Q min , Q max ].

8. The intelligent environment monitoring system for tunnel construction site according to claim 7 is characterized in that: The specific process of step S3 is as follows: S3-1, the start time of the on-site construction worker to be monitored is recorded as time t0; the amount of concrete configured by the on-site construction worker to be monitored is recorded as A; Collect the dust concentration of the monitored site at time t0 as the initial dust concentration of the monitored site, denoted as C t0 ; S3-2, record the current time as time t1; record the real-time equipment power of the ventilation equipment at time t1 as P2 t1 ; The real-time power of the ventilation equipment P2 t1 , input the trained neural network model, and output the real-time ventilation volume of the ventilation equipment, recorded as Q2 t1 ; S3-3, the real-time temperature of the monitored site at time t1 is recorded as T1 t1 ; The real-time humidity of the monitored site at time t1 is recorded as H1 t1 ; T1 t1 The value of T int And H1 t1 The value of H int , input the wet bulb temperature calculation model, and convert the G obtained by the wet bulb temperature calculation model into out , as the real-time wet-bulb temperature of the monitored site at time t1, denoted as G1 t1 .

9. The intelligent environment monitoring system for tunnel construction site according to claim 8, characterized in that: The specific process of step S4 is as follows: According to the real-time wet-bulb temperature G1 of the monitored site at time t1 t1 , Target wet bulb temperature G of the site to be monitored target , the maximum wet bulb temperature G of the site to be monitored max , the maximum ventilation volume Q of the ventilation equipment in the monitored site max And the real-time ventilation volume Q2 of the ventilation equipment t1 , calculate the real-time influence of ventilation equipment at time t1, the specific calculation formula is: F t1 =1-γ×{(G target -G1 t1 ) / (G max -G1 t1 )+Q2 t1 / Q max }; where F t1 It represents the real-time influence of ventilation equipment at time t1; γ represents the preset parameters of the system.

10. The intelligent environment monitoring system for tunnel construction site according to claim 6, characterized in that: The specific process of step S5 is as follows: S5-1. The real-time dust concentration at the monitored site at time t1 is recorded as C1 t1 ; Combined with the concrete configuration amount A of the facility to be monitored, the initial dust concentration C of the site to be monitored t0 And the real-time influence of ventilation equipment at time t1 F t1 , calculate the real-time dust change at the monitored site at time t1, the specific calculation formula is: R t1 =δ×A×(1+C1 t1 / C t0 )×F t1 ; Among them, R t1 It indicates the real-time dust change at the monitored site at time t1; δ indicates the preset parameters of the system; S5-2. Set the dust concentration safety threshold of the site to be monitored, denoted as C safe ; According to the real-time dust change R at the monitored site at time t1 t1 , adjust the ventilation equipment and adjust the ventilation volume of the ventilation equipment after time t1 to Q3 adjust，t1 =ε1×R t1 ×(C1 t1 / C safe -1)+ε2×Q2 t1 Among them, Q3 adjust，t1 It indicates the ventilation volume of the ventilation equipment after time t1; ε1 and ε2 both represent the preset parameters of the system.

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