A ventilation control method, system, terminal and storage medium for a confined space between tunnel air doors

Abstract

The present invention belongs to the field of ventilation control technology, and specifically relates to a ventilation control method, system, terminal and storage medium for a confined space between tunnel dampers, comprising: a main control module that performs fuzzy processing on received environmental data according to a pre-stored fuzzy algorithm, and determines, based on the processing results, whether to start an axial flow fan installed in the confined space to ventilate the confined space, and determines whether to drive the damper to open through a damper actuator. The present invention processes the received environmental data through a fuzzy algorithm, and uses membership functions and fuzzy rules for reasoning to derive the optimal output values ​​of the axial flow fan and the damper actuator. This intelligent decision-making method not only improves the accuracy of control, but also enables the system to make more reasonable adjustments when faced with complex and changing environmental conditions.

Description

Technical Field

[0001] The present invention belongs to the technical field of ventilation control, and in particular relates to a ventilation control method, system, terminal and storage medium for a confined space between tunnel air doors. Background Art

[0002] In the complex environment of tunnel engineering, the enclosed spaces between dampers play a vital role. They are carefully constructed to effectively isolate the circulation of outside air and gas, creating a relatively stable working environment inside the tunnel. However, while this design ensures environmental stability, it also raises a series of problems that need to be solved urgently. Because the air flow in the confined space is greatly restricted, the air quality tends to decline, the temperature and humidity conditions gradually deviate from the comfortable range, and even worse, the concentration of harmful gases may quietly climb to dangerous levels. If these problems are not dealt with promptly and effectively, they will directly threaten the physical and mental health of tunnel workers, and may also interfere with the precision equipment in the tunnel, thereby posing a major hidden danger to the progress and safety of the entire project.

[0003] Traditional ventilation control methods rely primarily on close human monitoring and manual adjustments. This approach is not only inefficient but also often struggles to respond immediately to the rapidly changing environmental conditions within confined spaces. Especially in tunnels with heavy traffic and frequent vehicle movement, the environmental quality within a confined space can plummet in a short period of time. Limited by time lags and manpower, manual monitoring often fails to capture these changes quickly, much less implement effective countermeasures. Therefore, the search for a more intelligent and efficient ventilation control solution has become a critical issue urgently needed in tunnel engineering. Summary of the Invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a ventilation control method, system, terminal and storage medium for the enclosed space between tunnel air doors to solve the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides a method for controlling ventilation of a confined space between air doors in a tunnel, wherein two air doors are provided in the tunnel, and a confined space is formed between the two air doors. The method comprises:

[0006] An infrared sensor installed on the side of the tunnel door away from the confined space detects whether a vehicle is approaching;

[0007] If yes, the environment detection device installed in the confined space is started to detect the environment in the confined space, and the detected environment data is transmitted to the main control module;

[0008] The main control module performs fuzzy processing on the received environmental data according to the pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing results, and determines whether to drive the damper to open through the damper actuator.

[0009] A further improvement of this technical solution is that the environmental detection equipment includes a carbon monoxide sensor and a temperature and humidity sensor.

[0010] A further improvement of the present technical solution is that the main control module performs fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing result, and determines whether to drive the damper to open through the damper actuator. The method specifically includes:

[0011] The environmental data detected by the environmental detection equipment is converted into corresponding fuzzy values ​​using a membership function;

[0012] Reasoning the generated fuzzy values ​​based on predefined fuzzy rules to obtain possible output values ​​of the axial flow fan and / or possible output values ​​of the damper actuator;

[0013] The possible output value of the axial flow fan and / or the possible output value of the damper actuator is calculated using the center of gravity method to obtain the axial flow fan speed value and / or the damper opening value.

[0014] A further improvement of this technical solution is to use a triangular membership function to convert the carbon monoxide concentration data detected by the carbon monoxide sensor into a corresponding fuzzy value. The method is as follows:

[0015] The detected carbon monoxide concentration data is graded to form a low fuzzy set, a medium fuzzy set, and a high fuzzy set; the threshold range of the low fuzzy set is less than 20 ppm, the threshold range of the medium fuzzy set is greater than or equal to 20 ppm and less than or equal to 50 ppm, and the threshold range of the high fuzzy set is greater than 50 ppm;

[0016] The triangle membership function of the low fuzzy set is:

[0017] ;

[0018] in, is the membership degree of the carbon monoxide low fuzzy set, and x is the carbon monoxide concentration data;

[0019] The triangular membership function of the fuzzy set in is:

[0020] ;

[0021] in, is the membership degree of the fuzzy set in carbon monoxide;

[0022] The triangle membership function of the highly fuzzy set is:

[0023] ;

[0024] in, is the membership degree of the high fuzzy set of carbon monoxide.

[0025] A further improvement of this technical solution is to use a trapezoidal membership function to convert the temperature data detected by the temperature and humidity sensor into a corresponding fuzzy value. The method is as follows:

[0026] The detected temperature data is graded to form low fuzzy set, medium fuzzy set and high fuzzy set;

[0027] The trapezoidal membership function of the low fuzzy set is:

[0028] ;

[0029] in, is the membership degree of the temperature low fuzzy set, T is the temperature data;

[0030] The trapezoidal membership function of the fuzzy set in is:

[0031] ;

[0032] in, is the membership degree of the fuzzy set in temperature;

[0033] The trapezoidal membership function of the highly fuzzy set is:

[0034] ;

[0035] in, is the membership degree of the temperature high fuzzy set.

[0036] A further improvement of this technical solution is to use a Gaussian membership function to convert the humidity data detected by the temperature and humidity sensor into a corresponding fuzzy value. The formula of the Gaussian membership function is:

[0037] ;

[0038] in, is the membership degree of humidity data; H is the humidity data, specifically the humidity percentage; is the average value of the detected humidity data; is the standard deviation of the detected humidity data.

[0039] A further improvement of this technical solution is that the formula of the center of gravity method is:

[0040] ;

[0041] in, is a possible output value of the axial flow fan and / or a possible output value of the damper actuator; is the membership degree corresponding to the possible output value of the axial flow fan and / or the possible output value of the damper actuator.

[0042] In a second aspect, the present invention provides a ventilation control system for a confined space between tunnel air doors, comprising:

[0043] Infrared sensor, installed on the side of the tunnel door away from the confined space, is used to detect whether there is a vehicle approaching;

[0044] Environmental testing equipment, installed in a confined space, is used to test the environment in the confined space;

[0045] The main control module is used to perform fuzzy processing on the received environmental data according to the pre-stored fuzzy algorithm, and determine whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing results, and determine whether to drive the damper to open through the damper actuator.

[0046] According to a third aspect, a terminal is provided, including:

[0047] processor, memory, wherein

[0048] The memory is used to store computer programs,

[0049] The processor is used to call and run the computer program from the memory, so that the terminal executes the above-mentioned terminal method.

[0050] In a fourth aspect, a computer storage medium is provided, wherein the computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the methods described in the above aspects.

[0051] The beneficial effects of the present invention are:

[0052] Real-time Monitoring and Rapid Response: Utilizing infrared sensors and environmental monitoring equipment, this system can monitor environmental changes within a confined space, including key indicators such as air quality, temperature and humidity, and hazardous gas concentrations, as vehicles approach. If an anomaly is detected, the system can rapidly respond by activating the axial flow fan or adjusting the damper opening, effectively improving the environmental quality within the confined space.

[0053] Intelligent Decision-Making and Precise Control: The main control module uses a fuzzy algorithm to process received environmental data, inferring using membership functions and fuzzy rules to determine the optimal output values ​​for the axial fan and damper actuators. This intelligent decision-making approach not only improves control accuracy but also enables the system to make more reasonable adjustments when faced with complex and changing environmental conditions.

[0054] In addition, the present invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0056] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0057] Figure 2 FIG. 4 is a schematic block diagram of a system according to an embodiment of the present invention.

[0058] Figure 3 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention.

[0059] 210 is an infrared sensor, 220 is an environmental detection device, and 230 is a main control module. DETAILED DESCRIPTION

[0060] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions of the present invention will be clearly and completely described below in conjunction with the drawings in this specific embodiment. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of them. Based on the embodiments in this patent, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this patent.

[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0062] There are two air doors in the tunnel, forming a closed space between the two doors; Figure 1 This is a schematic flow chart of a ventilation control method for a confined space between tunnel air doors provided by the present invention. Figure 1The execution subject may be a ventilation control system for a confined space between tunnel air doors. According to different requirements, the order of the steps in the flow chart may be changed, and some steps may be omitted.

[0063] like Figure 1 As shown, the method includes:

[0064] Step 110: Detect whether a vehicle is approaching by using an infrared sensor installed on the side of the tunnel air door away from the confined space; if so, proceed to step 120;

[0065] Step 120: Start the environmental detection device installed in the confined space to detect the environment in the confined space, and transmit the detected environmental data to the main control module;

[0066] In step 130 , the main control module performs fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the enclosed space to ventilate the enclosed space according to the processing result, and determines whether to drive the damper to open through the damper actuator.

[0067] To facilitate understanding of the present invention, the following further describes the ventilation control method for the enclosed space between tunnel dampers provided by the present invention based on the principle of the ventilation control method for the enclosed space between tunnel dampers of the present invention and the process of ventilation control for the enclosed space between tunnel dampers in the embodiment.

[0068] Specifically, the environmental detection equipment includes a carbon monoxide sensor and a temperature and humidity sensor.

[0069] In addition, the main control module performs fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing results, and determines whether to drive the damper to open through the damper actuator. The method specifically includes:

[0070] S131, using a membership function to convert environmental data detected by the environmental detection device into corresponding fuzzy values;

[0071] S132. Reasoning the generated fuzzy value based on predefined fuzzy rules to obtain possible output values ​​of the axial flow fan and / or possible output values ​​of the damper actuator;

[0072] S133. Calculate the possible output value of the axial flow fan and / or the possible output value of the damper actuator using the center of gravity method to obtain the axial flow fan speed value and / or the damper opening value.

[0073] Furthermore, the triangular membership function is used to convert the carbon monoxide concentration data detected by the carbon monoxide sensor into the corresponding fuzzy value. The method is as follows:

[0074] The detected carbon monoxide concentration data is graded to form a low fuzzy set, a medium fuzzy set, and a high fuzzy set; the threshold range of the low fuzzy set is less than 20 ppm, the threshold range of the medium fuzzy set is greater than or equal to 20 ppm and less than or equal to 50 ppm, and the threshold range of the high fuzzy set is greater than 50 ppm;

[0075] The triangle membership function of the low fuzzy set is:

[0076] ;

[0077] in, is the membership degree of the carbon monoxide low fuzzy set, and x is the carbon monoxide concentration data;

[0078] The triangular membership function of the fuzzy set in is:

[0079] ;

[0080] in, is the membership degree of the fuzzy set in carbon monoxide;

[0081] The triangle membership function of the highly fuzzy set is:

[0082] ;

[0083] in, is the membership degree of the high fuzzy set of carbon monoxide.

[0084] Secondly, the trapezoidal membership function is used to convert the temperature data detected by the temperature and humidity sensor into the corresponding fuzzy value. The method is as follows:

[0085] The detected temperature data is graded to form low fuzzy set, medium fuzzy set and high fuzzy set;

[0086] The trapezoidal membership function of the low fuzzy set is:

[0087] ;

[0088] in, is the membership degree of the temperature low fuzzy set, T is the temperature data;

[0089] The trapezoidal membership function of the fuzzy set in is:

[0090] ;

[0091] in, is the membership degree of the fuzzy set in temperature;

[0092] The trapezoidal membership function of the highly fuzzy set is:

[0093] ;

[0094] in, is the membership degree of the temperature high fuzzy set.

[0095] In addition, the humidity data detected by the temperature and humidity sensor is converted into corresponding fuzzy values ​​using the Gaussian membership function. The formula of the Gaussian membership function is:

[0096] ;

[0097] in, is the membership degree of humidity data; H is the humidity data, specifically the humidity percentage; is the average value of the detected humidity data; is the standard deviation of the detected humidity data.

[0098] Also, the centroid method formula is:

[0099] ;

[0100] in, is a possible output value of the axial flow fan and / or a possible output value of the damper actuator; is the membership degree corresponding to the possible output value of the axial flow fan and / or the possible output value of the damper actuator.

[0101] The predefined fuzzy rules can be:

[0102] Input variables: carbon monoxide concentration (low, medium, high), temperature (low, medium, high), humidity (low, medium, high);

[0103] Output variables: fan speed (low, medium, high), damper opening (small, medium, large);

[0104] Example rule:

[0105] If the carbon monoxide concentration is high and the temperature is high, the fan speed is high and the damper is closed;

[0106] If the carbon monoxide concentration is medium and the temperature is high, the fan speed is medium and the damper is closed;

[0107] If the carbon monoxide concentration is low and the temperature is high, the fan speed is low and the damper opening is large.

[0108] These rules can be adjusted and optimized according to actual conditions to suit different tunnel environments and ventilation requirements.

[0109] like Figure 2As shown, the present invention provides a ventilation control system for a confined space between tunnel dampers, comprising an infrared sensor, an environmental detection device and a main control module; the infrared sensor is arranged on the side of the tunnel damper away from the confined space, and is used to detect whether there is a vehicle approaching; the environmental detection device is installed in the confined space, and is used to detect the environment in the confined space; the main control module is used to perform fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and to determine whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing result, and to determine whether to drive the damper to open through the damper actuator.

[0110] Figure 3 This is a structural diagram of a terminal 300 provided in an embodiment of the present invention. The terminal 300 can be used to execute the ventilation control method for a confined space between tunnel air doors provided in an embodiment of the present invention.

[0111] The terminal 300 may include a processor 310, a memory 320, and a communication module 330. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention. The server structure may be a bus structure or a star structure, and may include more or fewer components than shown, or may combine certain components or arrange the components differently.

[0112] Memory 320 can be used to store execution instructions of processor 310. Memory 320 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. When the execution instructions in memory 320 are executed by processor 310, terminal 300 can perform some or all of the steps in the above-described method embodiments.

[0113] The processor 310 is the control center of the storage terminal. It uses various interfaces and lines to connect various parts of the entire electronic terminal. It executes various functions of the electronic terminal and / or processes data by running or executing software programs and / or modules stored in the memory 320, and calling data stored in the memory. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 310 can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0114] The communication module 330 is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals, or send user data to other terminals.

[0115] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program that, when executed, may include some or all of the steps of each embodiment provided herein. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0116] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software plus a necessary general-purpose hardware platform. Based on this understanding, the technical solutions in the embodiments of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, among other media capable of storing program code, and includes instructions for causing a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention.

[0117] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0118] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, and can be electrical, mechanical or other forms.

[0119] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected to achieve the purpose of the present embodiment according to actual needs.

[0120] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0121] Although the present invention has been described in detail with reference to the accompanying drawings and in conjunction with preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, persons of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and such modifications or substitutions shall be within the scope of the present invention. Any changes or substitutions that can be easily conceived by persons skilled in the art within the technical scope disclosed in the present invention shall be within the scope of protection of the present invention.

Claims

1. A method for controlling ventilation of a confined space between tunnel air doors, wherein two air doors are provided in the tunnel, and a confined space is formed between the two air doors, characterized in that: include: An infrared sensor installed on the side of the tunnel door away from the confined space detects whether a vehicle is approaching; If yes, the environment detection device installed in the confined space is started to detect the environment in the confined space, and the detected environment data is transmitted to the main control module; The main control module performs fuzzy processing on the received environmental data according to the pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing results, and determines whether to drive the damper to open through the damper actuator; Environmental detection equipment includes carbon monoxide sensors and temperature and humidity sensors; The main control module performs fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing result, and determines whether to drive the damper to open through the damper actuator. The method specifically includes: The environmental data detected by the environmental detection equipment is converted into corresponding fuzzy values ​​using a membership function; Reasoning the generated fuzzy values ​​based on predefined fuzzy rules to obtain possible output values ​​of the axial flow fan and / or possible output values ​​of the damper actuator; The possible output value of the axial flow fan and / or the possible output value of the damper actuator is calculated using the center of gravity method to obtain the axial flow fan speed value and / or the damper opening value.

2. The ventilation control method for the enclosed space between tunnel air doors according to claim 1, characterized in that: The triangular membership function is used to convert the carbon monoxide concentration data detected by the carbon monoxide sensor into the corresponding fuzzy value. The method is as follows: The detected carbon monoxide concentration data is graded to form a low fuzzy set, a medium fuzzy set, and a high fuzzy set; the threshold range of the low fuzzy set is less than 20 ppm, the threshold range of the medium fuzzy set is greater than or equal to 20 ppm and less than or equal to 50 ppm, and the threshold range of the high fuzzy set is greater than 50 ppm; The triangle membership function of the low fuzzy set is: in, is the membership degree of the carbon monoxide low fuzzy set, and x is the carbon monoxide concentration data; The triangular membership function of the fuzzy set in is: ； in, is the membership degree of the fuzzy set in carbon monoxide; The triangle membership function of the highly fuzzy set is: ； in, is the membership degree of the high fuzzy set of carbon monoxide.

3. The ventilation control method for the enclosed space between tunnel air doors according to claim 1, characterized in that: The temperature data detected by the temperature and humidity sensor is converted into the corresponding fuzzy value using the trapezoidal membership function. The method is as follows: The detected temperature data is graded to form low fuzzy set, medium fuzzy set and high fuzzy set; The trapezoidal membership function of the low fuzzy set is: ； in, is the membership degree of the temperature low fuzzy set, T is the temperature data; The trapezoidal membership function of the fuzzy set in is: ； in, is the membership degree of the fuzzy set in temperature; The trapezoidal membership function of the highly fuzzy set is: ； in, is the membership degree of the temperature high fuzzy set.

4. The ventilation control method for the enclosed space between tunnel air doors according to claim 1, characterized in that: The humidity data detected by the temperature and humidity sensor is converted into corresponding fuzzy values ​​using the Gaussian membership function. The formula of the Gaussian membership function is: ； in, is the membership degree of humidity data; H is the humidity data, specifically the humidity percentage; is the average value of the detected humidity data; is the standard deviation of the detected humidity data.

5. The ventilation control method for the enclosed space between tunnel air doors according to claim 1, characterized in that: The formula of the center of gravity method is: ； in, is a possible output value of the axial flow fan and / or a possible output value of the damper actuator; is the membership degree corresponding to the possible output value of the axial flow fan and / or the possible output value of the damper actuator.

6. A ventilation control system for a confined space between tunnel air doors, characterized in that: include: Infrared sensor, installed on the side of the tunnel door away from the confined space, is used to detect whether there is a vehicle approaching; Environmental testing equipment, installed in a confined space, is used to test the environment in the confined space; The main control module is used to perform fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and determine whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing results, and determine whether to drive the damper to open through the damper actuator; Environmental detection equipment includes carbon monoxide sensors and temperature and humidity sensors; The main control module performs fuzzy processing on the received environmental data according to a pre-stored fuzzy algorithm, and determines whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing result, and determines whether to drive the damper to open through the damper actuator. The method specifically includes: The environmental data detected by the environmental detection equipment is converted into corresponding fuzzy values ​​using a membership function; Reasoning the generated fuzzy values ​​based on predefined fuzzy rules to obtain possible output values ​​of the axial flow fan and / or possible output values ​​of the damper actuator; The possible output value of the axial flow fan and / or the possible output value of the damper actuator is calculated using the center of gravity method to obtain the axial flow fan speed value and / or the damper opening value.

7. A terminal, characterized in that: include: processor; a memory for storing execution instructions of the processor; The processor is configured to execute the method according to any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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