A new tunnel ventilation system and method based on thrust fans

Abstract

This invention relates to the technical field of tunnel ventilation systems, and provides a novel tunnel ventilation system and method based on a thrust fan. The system includes a thrust fan terminal, a condition data monitoring terminal, a tunnel data monitoring terminal, an intelligent analysis terminal, and a feedback control terminal. The thrust fan terminal is installed at the tunnel entrance and exit for tunnel ventilation. The condition data monitoring terminal monitors the operating data of the thrust fan terminal in real time. The tunnel data monitoring terminal monitors traffic flow, gas concentration, wind speed inside the tunnel, and weather data outside the tunnel in real time. The intelligent analysis terminal performs intelligent analysis based on the operating data of the thrust fan terminal and the traffic flow, gas concentration, wind speed, and weather data outside the tunnel, generating analysis results. The feedback control terminal generates and executes feedback control commands based on the analysis results. This invention reduces the construction cost of tunnel ventilation systems while improving ventilation efficiency.

Description

Technical Field

[0001] This invention relates to the technical field of tunnel ventilation systems, and specifically to a novel tunnel ventilation system and method based on a thrust fan. Background Technology

[0002] Thrust fans forcefully push large volumes of air into or out of tunnels, using high-speed airflow to create overall airflow within the tunnel, thus ventilating the entire tunnel. These fans are typically powerful and can provide airflow over long distances at once. A tunnel ventilation system is a specialized system for controlling air circulation and air quality within tunnels, designed to maintain fresh and safe air inside the tunnel and ensure the normal passage of pedestrians and vehicles. A typical tunnel ventilation system includes fans, sensors, and control systems, and is suitable for tunnel structures in highways, railways, subways, mines, and other similar applications.

[0003] Many tunnel ventilation systems have been developed. Through extensive research and reference, we found existing tunnel ventilation systems disclosed in publications CN104453973A, CN115110982A, and CN102472105A. These systems generally include jet fan units and fan control terminals. Each group of jet fans is installed sequentially along the tunnel length. The fan control terminals control all jet fans to achieve tunnel ventilation. Because jet fans require the use of jet flow and are arranged in groups along the tunnel length, the power cables are long, resulting in high cable costs and lower ventilation coverage. This leads to high construction costs and reduced ventilation efficiency in the tunnel ventilation system. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of the aforementioned tunnel ventilation systems by proposing a novel tunnel ventilation system and method based on a thrust fan.

[0005] The present invention adopts the following technical solution:

[0006] A novel tunnel ventilation system based on a thrust fan includes a thrust fan terminal, an operational data monitoring terminal, a tunnel data monitoring terminal, an intelligent analysis terminal, and a feedback control terminal. The thrust fan terminal is installed at the tunnel entrance and exit for tunnel ventilation. The operational data monitoring terminal monitors the operational data of the thrust fan terminal in real time. The tunnel data monitoring terminal monitors traffic flow, gas concentration, wind speed within the tunnel, and weather data outside the tunnel in real time. The intelligent analysis terminal performs intelligent analysis based on the operational data of the thrust fan terminal, the traffic flow, gas concentration, wind speed within the tunnel, and the weather data outside the tunnel, generating analysis results. The feedback control terminal generates and executes feedback control commands based on the analysis results.

[0007] The thrust fan terminal includes an inlet thrust fan module and an outlet thrust fan module; the inlet thrust fan module is installed at the tunnel entrance; the outlet thrust fan module is installed at the tunnel exit; the inlet thrust fan module and the outlet thrust fan module work together to regulate tunnel ventilation.

[0008] Optionally, the number of the inlet thrust fan module and the outlet thrust fan module is at least two; the number of the inlet thrust fan module and the outlet thrust fan module is the same; the inlet thrust fan modules, at least two in number, are arranged in a uniform manner at the tunnel entrance; the outlet thrust fan modules, at least two in number, are arranged in a uniform manner at the tunnel exit.

[0009] Optionally, the inlet thrust fan module includes an inlet thrust fan body and an inlet track moving submodule; the inlet track moving submodule is installed at the tunnel entrance; all the inlet track moving submodules are arranged in a uniform manner at the tunnel entrance; the inlet thrust fan body is connected to the inlet track moving submodule; the inlet track moving submodule is used to adjust the distance between the inlet thrust fan body and the initial position within a specified distance range; the specified distance range is set according to the track travel of the inlet track moving submodule and the administrator's experience; the initial position is preset by the administrator. The outlet thrust fan module includes an outlet thrust fan body and an outlet track moving submodule; the outlet track moving submodule is installed at the tunnel exit; all the outlet track moving submodules are arranged in a uniform manner at the tunnel exit; the outlet thrust fan body is connected to the outlet track moving submodule; the outlet track moving submodule is used to adjust the distance between the outlet thrust fan body and the initial position within a specified distance range; the specified distance range is set according to the track travel of the outlet track moving submodule and the administrator's experience; the initial position is preset by the administrator.

[0010] Optionally, the operating condition data monitoring terminal includes a wind turbine power monitoring module, a wind turbine position monitoring module, and a wind turbine start-stop status monitoring module; the wind turbine power monitoring module is used to monitor the wind turbine power in real time when the thrust wind turbine body is working; the wind turbine position monitoring module is used to monitor the wind turbine position in real time when the thrust wind turbine body is working; and the wind turbine start-stop status monitoring module is used to monitor the start-stop status of the thrust wind turbine body in real time during operation.

[0011] Optionally, the tunnel data monitoring terminal includes a traffic flow monitoring module, a gas concentration monitoring module, a wind speed monitoring module, and a weather data monitoring module; the traffic flow monitoring module is used to monitor the traffic flow inside the tunnel in real time; the gas concentration monitoring module is used to monitor the gas concentration data inside the tunnel in real time; the wind speed monitoring module is used to monitor the wind speed inside the tunnel in real time; and the weather data monitoring module is used to monitor the weather data outside the tunnel in real time.

[0012] Optionally, the intelligent analysis terminal includes an intelligent gear selection analysis module, a fan location optimization analysis module, and an analysis result information generation module. The intelligent gear selection analysis module is used to perform intelligent gear selection analysis based on traffic flow, gas concentration, wind speed, and weather data outside the tunnel, and generate gear selection analysis information. The gear selection content and gearing status are pre-defined by the administrator based on the number and arrangement of fans. The fan location optimization analysis module is used to perform fan location optimization analysis based on fan power, gas concentration, fan location, and fan start / stop status, and generate location optimization analysis information. The analysis result information generation module is used to generate analysis result information based on the gear selection analysis information and the location optimization analysis information.

[0013] Optionally, the feedback control terminal includes an analysis result information reading module, a gear selection control module, and a fan position adjustment module; the analysis result information reading module is used to read analysis result information from the analysis result information generation module; the gear selection control module is used to generate and execute gear selection control commands based on the gear selection analysis information; and the fan position adjustment module is used to generate and execute fan position adjustment commands based on the position optimization analysis information.

[0014] A novel tunnel ventilation method based on a thrust fan is applied to a novel tunnel ventilation system based on a thrust fan as described above. The novel tunnel ventilation method includes:

[0015] S1, real-time monitoring of the operating data of the thrust fan terminal;

[0016] S2 monitors in real time traffic flow, gas concentration, wind speed inside the tunnel and weather data outside the tunnel;

[0017] S3 intelligently analyzes the operating data of the thrust fan terminal, traffic flow, gas concentration, wind speed in the tunnel, and weather data outside the tunnel to generate analysis results information.

[0018] S4 generates and executes feedback control commands based on the analysis results.

[0019] The beneficial effects achieved by this invention are:

[0020] 1. By setting up thrust fan terminals, working condition data monitoring terminals, tunnel data monitoring terminals, intelligent analysis terminals and feedback control terminals, thrust fans only need to be installed at the tunnel entrance and exit. Combined with real-time monitoring and intelligent control, this not only saves the length of cable pre-buried when building the system, but also helps to improve the ventilation coverage effect. Under the condition of saving costs, the efficiency and quality of tunnel ventilation are improved, which helps to reduce the construction cost of the tunnel ventilation system and improve the tunnel ventilation effect.

[0021] 2. By setting at least two inlet thrust fan modules and two outlet thrust fan modules and using a uniformly arranged installation method, it is beneficial for administrators to optimize gear settings, enrich control modes, improve control efficiency and accuracy, select gears as needed, achieve energy saving in mode control, thereby saving costs and improving ventilation effect.

[0022] 3. By setting up the inlet thrust fan body and the inlet track moving submodule, as well as the outlet thrust fan body and the outlet track moving submodule, it is possible to intelligently adjust the specific position of the thrust fan at the corresponding tunnel entrance as needed, which is conducive to adapting to various ventilation scenarios, improving the adaptability and accuracy of the tunnel ventilation system, and thus improving the tunnel ventilation effect.

[0023] 4. By setting up the fan power monitoring module, fan position monitoring module, and fan start / stop status monitoring module, independent acquisition of operating condition data can be achieved. The acquisition of various operating condition data does not interfere with each other, which helps to improve the stability and accuracy of operating condition data acquisition, thereby improving the tunnel ventilation effect.

[0024] 5. By setting up traffic flow monitoring module, gas concentration monitoring module, wind speed monitoring module and weather data monitoring module, independent acquisition of tunnel data can be achieved. The acquisition of various tunnel data does not interfere with each other, which helps to improve the stability and accuracy of tunnel data acquisition, thereby improving the tunnel ventilation effect.

[0025] 6. The intelligent selection analysis module, the fan position optimization analysis module, and the analysis result information generation module facilitate quick and accurate selection analysis and fan position optimization analysis, making the analysis results more accurate and thus improving the tunnel ventilation effect.

[0026] 7. By combining the settings of the selection index calculation submodule and the selection analysis information generation submodule with the selection index calculation algorithm, and taking into account the number, installation distribution, and gear settings of the tunnel thrust fans, the selection index is calculated based on the traffic flow, gas concentration, wind speed inside the tunnel and weather data outside the tunnel. This makes the selection index more compatible with the corresponding tunnel, the selection process more stable and accurate, and further improves ventilation efficiency, thereby helping to save costs and improve ventilation effect.

[0027] 8. By combining the location influence index calculation submodule and the location optimization analysis information generation submodule with the location influence index calculation algorithm, the location influence index of the corresponding fan at the current moment is calculated based on the energy consumption score, gas concentration score and airflow distribution score of each fan location. This determines the optimal position of the corresponding thrust fan in the same gear, improving the fan location optimization effect and efficiency, thereby helping to save costs and improve ventilation effect.

[0028] To further understand the features and technical content of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are for reference and illustration only and are not intended to limit the present invention. Attached Figure Description

[0029] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0030] Figure 2 This is a schematic diagram of the inlet thrust fan module in this invention;

[0031] Figure 3 This is a schematic diagram of the outlet thrust fan module in this invention;

[0032] Figure 4 This is a schematic diagram of the intelligent file selection analysis module in this invention;

[0033] Figure 5 This is a statistical diagram illustrating the results of file selection under different parameters in this invention.

[0034] Figure 6 This is a schematic diagram of the process flow of a novel tunnel ventilation method based on a thrust fan according to the present invention;

[0035] Figure 7 This is a schematic diagram of the structure of the wind turbine position optimization analysis module in another embodiment of the present invention;

[0036] Figure 8 This is a statistical diagram showing the results of position optimization for different thrust fans at different times in this invention. Detailed Implementation

[0037] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can understand the advantages and effects of the present invention from the content disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. Furthermore, the accompanying drawings of the present invention are for simple illustrative purposes only and are not depictions of actual dimensions; this is stated in advance. The following embodiments will further describe the relevant technical content of the present invention in detail, but the disclosed content is not intended to limit the scope of protection of the present invention.

[0038] Example 1: This example provides a novel tunnel ventilation system based on a thrust fan. Combined with... Figure 1 As shown, a novel tunnel ventilation system based on a thrust fan includes a thrust fan terminal, an operational data monitoring terminal, a tunnel data monitoring terminal, an intelligent analysis terminal, and a feedback control terminal. The thrust fan terminal is installed at the tunnel entrance and exit for ventilating the tunnel. The operational data monitoring terminal monitors the operational data of the thrust fan terminal in real time. The tunnel data monitoring terminal monitors traffic flow, gas concentration, wind speed, and weather data outside the tunnel in real time. The intelligent analysis terminal performs intelligent analysis based on the operational data of the thrust fan terminal, traffic flow, gas concentration, wind speed, and weather data outside the tunnel, generating analysis results. The feedback control terminal generates and executes feedback control commands based on the analysis results.

[0039] The thrust fan terminal includes an inlet thrust fan module and an outlet thrust fan module; the inlet thrust fan module is installed at the tunnel entrance; the outlet thrust fan module is installed at the tunnel exit; the inlet thrust fan module and the outlet thrust fan module work together to regulate tunnel ventilation.

[0040] Optionally, the number of the inlet thrust fan module and the outlet thrust fan module is at least two; the number of the inlet thrust fan module and the outlet thrust fan module is the same; the inlet thrust fan modules, at least two in number, are arranged in a uniform manner at the tunnel entrance; the outlet thrust fan modules, at least two in number, are arranged in a uniform manner at the tunnel exit.

[0041] Optional, combined Figure 2 and Figure 3As shown, the inlet thrust fan module includes an inlet thrust fan body and an inlet track moving submodule; the inlet track moving submodule is installed at the tunnel entrance; all the inlet track moving submodules are evenly arranged at the tunnel entrance; the inlet thrust fan body is connected to the inlet track moving submodule; the inlet track moving submodule is used to adjust the distance between the inlet thrust fan body and the initial position within a specified distance range; the specified distance range is set based on the track travel of the inlet track moving submodule and the administrator's experience; the initial position is preset by the administrator. The outlet thrust fan module includes an outlet thrust fan body and an outlet track moving submodule; the outlet track moving submodule is installed at the tunnel exit; all the outlet track moving submodules are evenly arranged at the tunnel exit; the outlet thrust fan body is connected to the outlet track moving submodule; the outlet track moving submodule is used to adjust the distance between the outlet thrust fan body and the initial position within a specified distance range; the specified distance range is set based on the track travel of the outlet track moving submodule and the administrator's experience; the initial position is preset by the administrator.

[0042] Optionally, the operating condition data monitoring terminal includes a wind turbine power monitoring module, a wind turbine position monitoring module, and a wind turbine start-stop status monitoring module; the wind turbine power monitoring module is used to monitor the wind turbine power in real time when the thrust wind turbine body is working; the wind turbine position monitoring module is used to monitor the wind turbine position in real time when the thrust wind turbine body is working; and the wind turbine start-stop status monitoring module is used to monitor the start-stop status of the thrust wind turbine body in real time during operation.

[0043] Optionally, the tunnel data monitoring terminal includes a traffic flow monitoring module, a gas concentration monitoring module, a wind speed monitoring module, and a weather data monitoring module; the traffic flow monitoring module is used to monitor the traffic flow inside the tunnel in real time; the gas concentration monitoring module is used to monitor the gas concentration data inside the tunnel in real time; the wind speed monitoring module is used to monitor the wind speed inside the tunnel in real time; and the weather data monitoring module is used to monitor the weather data outside the tunnel in real time.

[0044] Optionally, the intelligent analysis terminal includes an intelligent gear selection analysis module, a fan location optimization analysis module, and an analysis result information generation module. The intelligent gear selection analysis module is used to perform intelligent gear selection analysis based on traffic flow, gas concentration, wind speed, and weather data outside the tunnel, and generate gear selection analysis information. The gear selection content and gearing status are pre-defined by the administrator based on the number and arrangement of fans. The fan location optimization analysis module is used to perform fan location optimization analysis based on fan power, gas concentration, fan location, and fan start / stop status, and generate location optimization analysis information. The analysis result information generation module is used to generate analysis result information based on the gear selection analysis information and the location optimization analysis information.

[0045] Specifically, in combination Figure 4 As shown, the intelligent gear selection analysis module includes a gear selection index calculation submodule and a gear selection analysis information generation submodule; the gear selection index calculation submodule is used to calculate the gear selection index based on traffic flow, gas concentration, wind speed inside the tunnel and weather data outside the tunnel; the gear selection analysis information generation submodule is used to generate gear selection analysis information based on the gear selection index.

[0046] To illustrate this more clearly, in this embodiment, the specific number of fans, fan arrangement, fan position, and preset speed settings are as follows:

[0047] Number of thrust fans at tunnel entrances and exits: 5 at the entrance and 5 at the exit; Initial fan arrangement: Entrance thrust fans are evenly distributed along the tunnel wall at the tunnel entrance with equal spacing; exit thrust fans are evenly distributed along the tunnel wall at the tunnel exit with equal spacing; Fan position control: The spacing of the entrance thrust fans is adjustable, ranging from 3m to 6m; The distance the entrance thrust fans move into the tunnel is adjustable, ranging from 0m to 8m; Gear settings: When gear one is selected, the entrance thrust fans... When gear 2 is selected, the number of both the inlet and outlet thrust fan bodies that are opened is 1, and the fan that is opened is the one closest to the top of the tunnel, and the fan is in its initial position. When gear 3 is selected, the number of both the inlet and outlet thrust fan bodies that are opened is 2, and they are close to the top of the tunnel, with a spacing of 3m and a movement distance of 8m. When gear 4 is selected, the number of both the inlet and outlet thrust fan bodies that are opened is 3, and they are close to the top of the tunnel, with a spacing of 4m and a movement distance of 3m. When gear 4 is selected, the number of both the inlet and outlet thrust fan bodies that are opened is 5, with a spacing of 6m and a movement distance of 0m.

[0048] Before and during the first ventilation task on the same day, the selection index calculation submodule works and performs selection analysis according to the following formula. The calculation cycle during the task execution is set by the administrator and can be, but is not limited to, 1 hour, 6 hours, 12 hours, 24 hours and 48 hours.

[0049]

[0050] Wherein, G represents the selection index; δ1 represents the weighting coefficient of real-time parameter items, the more real-time parameters selected, the greater the weighting coefficient of real-time parameter items, the value range is between 0.5 and 2, and the specific value is set by the administrator based on experience; δ2 represents the weighting coefficient of summary parameter items, the more total summary parameters, the greater the weighting coefficient of summary parameter items, the value range is between 0.5 and 1, and the specific value is set by the administrator based on experience; C represents the real-time monitoring value of traffic flow in the tunnel at the calculation time, that is, the number of vehicles traveling per unit time, the unit time can be but not limited to: every 1 minute, every 1 hour, and every 2 hours, etc., preferably per minute; F represents the real-time monitoring value of wind speed in the tunnel at the calculation time, the wind speed unit is m / s; W represents the real-time monitoring value of relative humidity outside the tunnel at the calculation time; the relative humidity outside the tunnel is the weather data outside the tunnel; J CF This represents the interaction effect term between traffic flow and wind speed; T represents the gas concentration in the tunnel at the time of calculation, which can be, but is not limited to, carbon monoxide, sulfur dioxide, and nitrogen oxides; β represents the sensitivity normal number, which decreases as the number of toxic gases present in the tunnel increases, and is set by the administrator based on experience; k1, k2, k3, k4, and k5 represent the normalization coefficients for different parameters, with larger values ​​corresponding to the parameter terms resulting in smaller normalization coefficients, and are set by the administrator based on experience; Z ref Z represents the reference value for the air pollution index at the tunnel entrance / exit. i This represents the reading of the i-th air pollution index monitor at the tunnel entrance / exit; I represents the total number of air pollution index monitors at the tunnel entrance / exit.

[0051] A larger G value indicates a greater ventilation demand, and the corresponding gear level also increases. Therefore, the specific number of fans, fan arrangement, fan position, and preset gear levels need to be coordinated. A larger gear level corresponds to stronger ventilation capacity. The number of gear levels can be, but is not limited to, 2, 4, 10, 20, and 50. In this example, there are four gear levels, with the ventilation capacity gradually increasing from gear one to gear four. When the gear selection analysis information generation submodule generates gear selection analysis information based on the gear selection index, it can be done according to the following formula:

[0052]

[0053] Among them, g1 to g3 represent different selection thresholds, which are set by the administrator based on experience; S represents the gear level.

[0054] In summary, by setting up thrust fan terminals, operating condition data monitoring terminals, tunnel data monitoring terminals, intelligent analysis terminals, and feedback control terminals, thrust fans only need to be installed at the tunnel entrances and exits. Combined with real-time monitoring and intelligent control, this not only saves on the length of pre-buried cables during system construction but also improves ventilation coverage, thereby increasing the efficiency and quality of tunnel ventilation while saving costs. The requirement of at least two thrust fan modules at the entrance and at the exit, along with a uniformly distributed installation method, allows administrators to optimize gear settings, enriches control modes, and improves control efficiency and accuracy. On-demand gear selection achieves energy savings in mode control. The inclusion of the thrust fan body and entrance / track movement submodules at the entrance and exit, as well as the thrust fan body and exit / track movement submodules at the exit, facilitates intelligent on-demand control of the thrust fan's specific position at the corresponding tunnel entrance, adapting to various ventilation scenarios and improving the adaptability and accuracy of the tunnel ventilation system. Finally, the use of fan power monitoring modules, fan position monitoring modules, and fan start / stop status monitoring modules further enhances the system's effectiveness. The system is configured to achieve independent acquisition of operating condition data, ensuring that the acquisition of various operating condition data does not interfere with each other, which is beneficial to improving the stability and accuracy of operating condition data acquisition. The system also features independent acquisition of tunnel data through traffic flow monitoring, gas concentration monitoring, wind speed monitoring, and weather data monitoring modules, ensuring that the acquisition of various tunnel data does not interfere with each other, which is beneficial to improving the stability and accuracy of tunnel data acquisition. Furthermore, the system includes intelligent gear selection analysis, fan position optimization analysis, and analysis result information generation modules, which facilitate quick and accurate gear selection analysis and fan position optimization analysis, resulting in more accurate analysis results. Finally, the system incorporates a gear selection index calculation submodule and a gear selection analysis information generation submodule, working in conjunction with the gear selection index calculation algorithm. This algorithm considers the number, installation, and gear settings of the tunnel thrust fans, and calculates the gear selection index based on traffic flow, gas concentration, wind speed inside the tunnel, and weather data outside the tunnel. This results in a higher degree of compatibility between the gear selection index and the corresponding tunnel, making the gear selection process more stable and accurate, further improving ventilation efficiency, thereby saving costs and improving ventilation effect.

[0055] Combination Figure 5 , Figure 5 To generate statistical charts of the selection results under different parameters, the program code for the above calculation process is as follows:

[0056]

[0057]

[0058] Optionally, the feedback control terminal includes an analysis result information reading module, a gear selection control module, and a fan position adjustment module; the analysis result information reading module is used to read analysis result information from the analysis result information generation module; the gear selection control module is used to generate and execute gear selection control commands based on the gear selection analysis information; and the fan position adjustment module is used to generate and execute fan position adjustment commands based on the position optimization analysis information.

[0059] A novel tunnel ventilation method based on a thrust fan is applied to a novel tunnel ventilation system based on a thrust fan as described above, combined with... Figure 6 As shown, the novel tunnel ventilation method includes:

[0060] S1, real-time monitoring of the operating data of the thrust fan terminal;

[0061] S2 monitors in real time traffic flow, gas concentration, wind speed inside the tunnel and weather data outside the tunnel;

[0062] S3 intelligently analyzes the operating data of the thrust fan terminal, traffic flow, gas concentration, wind speed in the tunnel, and weather data outside the tunnel to generate analysis results information.

[0063] S4 generates and executes feedback control commands based on the analysis results.

[0064] Example 2: This example includes all the content of Example 1, and provides a novel tunnel ventilation system based on a thrust fan, combined with... Figure 7 As shown, the wind turbine location optimization analysis module includes a location influence index calculation submodule and a location optimization analysis information generation submodule. The location influence index calculation submodule is used to calculate the location influence index of the wind turbine at the current moment based on the energy consumption score, gas concentration score, and airflow distribution score of each location of the wind turbine. The location optimization analysis information generation submodule is used to generate location optimization analysis information based on the location influence index.

[0065] After completing the gear selection and adjusting according to the gear content, and ensuring stable operation of the ventilation system, the location influence index calculation submodule calculates the location influence index according to the following formula:

[0066] OPT = min P (λ1·E(P)+λ2·C(P)+λ3·D(P));

[0067]

[0068] C(P) = η²·e C / V ;

[0069]

[0070] Where OPT represents the position influence index of the optimal position of the thrust fan at the calculation time; E(P) represents the energy consumption score at position P; M represents the energy consumption value of the thrust fan at position P; p out This represents the output power of the thrust fan at location P; η1 represents the energy consumption score weighting coefficient, which increases with the age of the thrust fan, and is set by the administrator based on experience; C(P) represents the gas concentration score of the thrust fan at location P; C represents the gas concentration of the thrust fan at location P; V represents the total tunnel volume; η2 represents the gas concentration score weighting coefficient, which increases with the smaller the total tunnel volume, and is set by the administrator based on experience; D(P) represents the airflow distribution score of the thrust fan at location P; H represents the thrust... The distance of the thrust blower at position P from the tunnel roof; L represents the distance of the thrust blower at position P from the nearest tunnel entrance; the nearest tunnel entrance refers to the tunnel entrance with the shorter distance from the current thrust blower position; η3 represents the airflow distribution score weighting coefficient, the longer the total tunnel length, the larger the airflow distribution score weighting coefficient, the specific value is set by the administrator based on experience; λ1 to λ3 represent different score item coefficients, the specific values ​​are set by the administrator based on experience, the larger the total tunnel volume, the larger λ1 to λ3, and the numerical relationship between λ1 to λ3 is gradually decreasing; min P () indicates the minimization operation that finds the minimum value of the function within the parentheses, that is, finding the position P where the function within the parentheses is at its minimum value. This point P is the optimal position of the same thrust fan in the same gear at the time of calculation, so as to determine the optimal position of the same thrust fan in the same gear at the time of calculation.

[0071] In the above formula, the adjustable positions P of each thrust fan are all determined. In historical missions, each thrust fan has already operated at its adjustable position P and generated corresponding data. If the ventilation system of this embodiment is to be used in a new tunnel, it is necessary to first preset each adjustable position P and simulate or predict the parameters in the formula corresponding to the adjustable position P. The parameters involved are: M, p out And C. If M and p are needed out When simulating or predicting with C, the administrator may use methods including, but not limited to: 1. Referring to tunnel simulation settings of the same type and already using the ventilation system described in this embodiment, M, p out 1. Set C based on C; 2. Set C based on gas concentration data after the new tunnel opens to traffic; 3. Set M and p based on electrical parameters of the thrust fan. out 4. Set M and p directly based on work experience. out and C;

[0072] 5. Direct, real-time on-site measurement of corresponding parameters. Data from the operation of the new ventilation system and the new tunnel will be recorded, and the calculated data will be continuously updated until enough historical data is collected to improve the accuracy of determining the optimal location.

[0073] Specifically, if the cost budget is sufficient, a gas concentration sensor can be installed at each adjustable position P to measure the value of C. This will help improve data accuracy and further improve the accuracy of thrust fan position optimization.

[0074] In summary, by combining the location influence index calculation submodule and the location optimization analysis information generation submodule with the location influence index calculation algorithm, the location influence index of the corresponding fan at the current moment is calculated based on the energy consumption score, gas concentration score, and airflow distribution score of each fan location. This determines the optimal location of the corresponding thrust fan in the same gear, improving the fan location optimization effect and efficiency, thereby helping to save costs and improve ventilation effect.

[0075] Combination Figure 8 , Figure 8 To present a statistical chart of the results of position optimization for wind turbines with different thrusts at different times, the implementation code for the above calculation process is as follows:

[0076]

[0077]

[0078]

[0079] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of protection of the present invention. Therefore, all equivalent technical changes made based on the content of the present invention specification and drawings are included within the scope of protection of the present invention. Furthermore, the elements therein can be updated as technology develops.

Claims

1. A novel tunnel ventilation system based on a thrust fan, characterized in that, The system includes a thrust fan terminal, a condition data monitoring terminal, a tunnel data monitoring terminal, an intelligent analysis terminal, and a feedback control terminal. The thrust fan terminal is installed at the tunnel entrance and exit for tunnel ventilation. The condition data monitoring terminal monitors the operating data of the thrust fan terminal in real time. The tunnel data monitoring terminal monitors traffic flow, gas concentration, wind speed, and weather data outside the tunnel in real time. The intelligent analysis terminal performs intelligent analysis based on the operating data of the thrust fan terminal, the traffic flow, gas concentration, wind speed, and weather data outside the tunnel, generating analysis results. The feedback control terminal generates and executes feedback control commands based on the analysis results. The thrust fan terminal includes an inlet thrust fan module and an outlet thrust fan module; the inlet thrust fan module is installed at the tunnel entrance; the outlet thrust fan module is installed at the tunnel exit; the inlet thrust fan module and the outlet thrust fan module work together to regulate tunnel ventilation; The intelligent analysis terminal includes an intelligent gear selection analysis module, a wind turbine location optimization analysis module, and an analysis result information generation module; The intelligent gear selection analysis module is used to perform intelligent gear selection analysis based on traffic flow, gas concentration, wind speed inside the tunnel and weather data outside the tunnel, and generate gear selection analysis information; the fan position optimization analysis module is used to perform fan position optimization analysis based on fan power, gas concentration, fan position and fan start / stop status, and generate position optimization analysis information; the analysis result information generation module is used to generate analysis result information based on the gear selection analysis information and the position optimization analysis information. The wind turbine location optimization analysis module includes a location influence index calculation submodule and a location optimization analysis information generation submodule. The location influence index calculation submodule is used to calculate the location influence index of the wind turbine at the current moment based on the energy consumption score, gas concentration score, and airflow distribution score of each wind turbine location. The location optimization analysis information generation submodule is used to generate location optimization analysis information based on the location influence index. After completing the gear selection and adjusting according to the gear content, and ensuring stable operation of the ventilation system, the location influence index calculation submodule calculates the location influence index according to the following formula: ； ； ； ； Where OPT represents the position influence index of the optimal position of the thrust fan at the calculation time; E(P) represents the energy consumption score at position P; M represents the energy consumption value of the thrust fan at position P; p out This represents the output power of the thrust fan at location P; η1 represents the energy consumption score weighting coefficient, which increases with the age of the thrust fan, and is set by the administrator based on experience; C(P) represents the gas concentration score of the thrust fan at location P; C represents the gas concentration of the thrust fan at location P; V represents the total tunnel volume; η2 represents the gas concentration score weighting coefficient, which increases with the smaller the total tunnel volume, and is set by the administrator based on experience; D(P) represents the airflow distribution score of the thrust fan at location P; H represents the thrust... The distance of the thrust blower at position P from the tunnel roof; L represents the distance of the thrust blower at position P from the nearest tunnel entrance; the nearest tunnel entrance refers to the tunnel entrance with the shorter distance from the current thrust blower position; η3 represents the airflow distribution score weighting coefficient, the longer the total tunnel length, the larger the airflow distribution score weighting coefficient, the specific value is set by the administrator based on experience; λ1 to λ3 represent different score item coefficients, the specific values ​​are set by the administrator based on experience, the larger the total tunnel volume, the larger λ1 to λ3, and the numerical relationship between λ1 to λ3 is gradually decreasing; min P () indicates the minimization operation that finds the minimum value of the function within the parentheses, that is, finding the position P where the function within the parentheses is the minimum value. This point P is the optimal position of the same thrust blower in the same gear at the time of calculation, so as to determine the optimal position of the same thrust blower in the same gear at the time of calculation. The feedback control terminal includes an analysis result information reading module, a gear selection control module, and a fan position adjustment module; the analysis result information reading module is used to read analysis result information from the analysis result information generation module; the gear selection control module is used to generate and execute gear selection control commands based on the gear selection analysis information; and the fan position adjustment module is used to generate and execute fan position adjustment commands based on the position optimization analysis information.

2. The novel tunnel ventilation system based on a thrust fan as described in claim 1, characterized in that, The number of inlet thrust fan modules and outlet thrust fan modules is at least two; the number of inlet thrust fan modules and outlet thrust fan modules is the same; the inlet thrust fan modules, at least two in number, are arranged in a uniform manner at the tunnel entrance; the outlet thrust fan modules, at least two in number, are arranged in a uniform manner at the tunnel exit.

3. A novel tunnel ventilation system based on a thrust fan as described in claim 2, characterized in that, The inlet thrust fan module includes an inlet thrust fan body and an inlet track moving submodule; the inlet track moving submodule is installed at the tunnel entrance; all the inlet track moving submodules are evenly arranged at the tunnel entrance; the inlet thrust fan body is connected to the inlet track moving submodule; the inlet track moving submodule is used to adjust the distance between the inlet thrust fan body and the initial position within a specified distance range; the outlet thrust fan module includes an outlet thrust fan body and an outlet track moving submodule; the outlet track moving submodule is installed at the tunnel exit; all the outlet track moving submodules are evenly arranged at the tunnel exit; the outlet thrust fan body is connected to the outlet track moving submodule; the outlet track moving submodule is used to adjust the distance between the outlet thrust fan body and the initial position within a specified distance range; the initial position is preset by the administrator.

4. A novel tunnel ventilation system based on a thrust fan as described in claim 3, characterized in that, The operating condition data monitoring terminal includes a wind turbine power monitoring module, a wind turbine position monitoring module, and a wind turbine start-stop status monitoring module. The wind turbine power monitoring module is used to monitor the wind turbine power in real time when the thrust wind turbine is working. The wind turbine position monitoring module is used to monitor the wind turbine position in real time when the thrust wind turbine is working. The wind turbine start-stop status monitoring module is used to monitor the start-stop status of the thrust wind turbine in real time during operation.

5. A novel tunnel ventilation system based on a thrust fan as described in claim 4, characterized in that, The tunnel data monitoring terminal includes a traffic flow monitoring module, a gas concentration monitoring module, a wind speed monitoring module, and a weather data monitoring module. The traffic flow monitoring module is used to monitor the traffic flow inside the tunnel in real time. The gas concentration monitoring module is used to monitor the gas concentration data inside the tunnel in real time. The wind speed monitoring module is used to monitor the wind speed inside the tunnel in real time. The weather data monitoring module is used to monitor the weather data outside the tunnel in real time.

6. A novel tunnel ventilation method based on a thrust fan, applied to a novel tunnel ventilation system based on a thrust fan as described in claim 5, characterized in that, The novel tunnel ventilation method includes: S1, real-time monitoring of the operating data of the thrust fan terminal; S2 monitors in real time traffic flow, gas concentration, wind speed inside the tunnel and weather data outside the tunnel; S3 intelligently analyzes the operating data of the thrust fan terminal, traffic flow, gas concentration, wind speed in the tunnel, and weather data outside the tunnel to generate analysis results information. S4 generates and executes feedback control commands based on the analysis results.

Images