Ventilation control method and system for closed space between tunnel air doors, terminal and storage medium

Abstract

The invention belongs to the technical field of ventilation control, and particularly relates to a ventilation control method and system for a closed space between tunnel air doors, a terminal and a storage medium. According to the processing result, whether an axial flow fan installed in the closed space is started to ventilate the closed space or not is judged, and whether an air door is driven to be opened through an air door executing mechanism or not is judged. Received environment data are processed through a fuzzy algorithm, reasoning is conducted through a membership function and a fuzzy rule, and the optimal output values of the axial flow fan and the air door executing mechanism are obtained. The intelligent decision-making mode not only improves the control accuracy, but also enables the system to make more reasonable adjustments when facing complex and changeable 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 confined space between the dampers plays 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. Since the air flow in the confined space is greatly restricted, the air quality is prone 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 a dangerous level. If these problems are not dealt with in a timely and effective manner, they will directly threaten the physical and mental health of tunnel workers, and may also interfere with the precision equipment in the tunnel, thus posing a major hidden danger to the progress and safety of the entire project.

[0003] Traditional ventilation control methods mainly rely on close human monitoring and manual adjustment, which is not only inefficient, but also often unable to cope with the ever-changing environmental conditions in confined spaces and difficult to respond immediately. Especially in tunnels with heavy traffic and frequent vehicles, the environmental quality in confined spaces may drop sharply in a short period of time. However, manual monitoring is limited by time differences and manpower constraints, and often cannot quickly capture these changes, let alone take effective measures to respond in time. Therefore, seeking a more intelligent and efficient ventilation control solution has become a key issue that needs to be solved in the field of 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 a confined 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 arranged in the tunnel, and a confined space is formed between the two air doors. The method comprises: An infrared sensor installed on the side of the tunnel door away from the confined space detects whether a vehicle is approaching; If yes, then start the environment detection device installed in the enclosed space to detect the environment in the enclosed space, and transmit the detected environment data 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 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.

[0006] A further improvement of the technical solution is that the environmental detection equipment includes a carbon monoxide sensor and a temperature and humidity sensor.

[0007] A further improvement of the 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: The environmental data detected by the environmental detection device is converted into corresponding fuzzy values ​​using a membership function; 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; 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.

[0008] A further improvement of the 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, and the method is: 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 20ppm, the threshold range of the medium fuzzy set is greater than or equal to 20ppm and less than or equal to 50ppm, and the threshold range of the high fuzzy set is greater than 50ppm; 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 triangular membership function of the highly fuzzy set is: ; in, is the membership degree of the carbon monoxide high fuzzy set.

[0009] A further improvement of the 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, and the method is as follows: The detected temperature data is graded to form a low fuzzy set, a medium fuzzy set and a 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.

[0010] A further improvement of the 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: ; in, is the membership degree of humidity data; H is humidity data, specifically humidity percentage; is the average value of the detected humidity data; is the standard deviation of the detected humidity data.

[0011] A further improvement of this technical solution is that the centroid method formula is: ; in, is a possible output value of the axial flow fan and / or a possible output value of the damper actuator; It 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.

[0012] In a second aspect, the present invention provides a ventilation control system for a confined space between tunnel air doors, comprising: 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 the pre-stored fuzzy algorithm, and determine whether to start the axial flow fan installed in the enclosed space to ventilate the enclosed space according to the processing result, and determine whether to drive the damper to open through the damper actuator.

[0013] In a third aspect, a terminal is provided, including: processor, memory, wherein: The memory is used to store computer programs. The processor is used to call and run the computer program from the memory, so that the terminal executes the above-mentioned terminal method.

[0014] According to a fourth aspect, a computer storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer executes the methods described in the above aspects.

[0015] The beneficial effects of the present invention are: Real-time monitoring and rapid response: With the combined effect of infrared sensors and environmental detection equipment, the present invention can monitor the environmental changes in the confined space in real time, including key indicators such as air quality, temperature and humidity, and harmful gas concentration. Once an abnormal situation is detected, the system can respond quickly by starting the axial flow fan or adjusting the air door opening to effectively improve the environmental quality in the confined space.

[0016] Intelligent decision-making and precise control: The main control module uses fuzzy algorithms to process the received environmental data, and uses membership functions and fuzzy rules for reasoning to obtain the optimal output values ​​of the axial flow fan and 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 facing complex and changing environmental conditions.

[0017] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0020] Figure 2 is a schematic block diagram of a system according to an embodiment of the present invention.

[0021] Figure 3 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention.

[0022] 210 is an infrared sensor, 220 is an environment detection device, and 230 is a main control module. DETAILED DESCRIPTION

[0023] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical scheme 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 creative work are within the scope of protection of this patent.

[0024] 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 the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0025] There are two air doors in the tunnel, forming a closed space between the two doors; Figure 1 : is a schematic flow chart of a ventilation control method for a confined space between tunnel air doors provided by the present invention. Figure 1 The 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 may be omitted.

[0026] like Figure 1 As shown, the method includes: Step 110, detecting whether a vehicle is approaching by an infrared sensor disposed on the side of the tunnel air door away from the confined space; if so, proceeding to step 120; Step 120, starting the environment detection device installed in the confined space to detect the environment in the confined space, and transmitting the detected environment data to the main control module; Step 130, 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 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.

[0027] To facilitate understanding of the present invention, the ventilation control method for the enclosed space between tunnel dampers provided by the present invention is further described below based on the principle of the ventilation control method for the enclosed space between tunnel dampers of the present invention and in combination with the process of performing ventilation control on the enclosed space between tunnel dampers in the embodiment.

[0028] Specifically, the environment detection equipment includes a carbon monoxide sensor and a temperature and humidity sensor.

[0029] In addition, 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 result, and determines whether to drive the damper to open through the damper actuator. The method specifically includes: S131, using a membership function to convert environmental data detected by the environmental detection device into corresponding fuzzy values; 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; S133. Use the center of gravity method to calculate the possible output value of the axial flow fan and / or the possible output value of the damper actuator to obtain the axial flow fan speed value and / or the damper opening value.

[0030] 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, and 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 20ppm, the threshold range of the medium fuzzy set is greater than or equal to 20ppm and less than or equal to 50ppm, and the threshold range of the high fuzzy set is greater than 50ppm; 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 triangular membership function of the highly fuzzy set is: ; in, is the membership degree of the carbon monoxide high fuzzy set.

[0031] Secondly, 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 a low fuzzy set, a medium fuzzy set and a 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.

[0032] 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: ; in, is the membership degree of humidity data; H is humidity data, specifically humidity percentage; is the average value of the detected humidity data; is the standard deviation of the detected humidity data.

[0033] Also, the centroid method formula is: ; in, is a possible output value of the axial flow fan and / or a possible output value of the damper actuator; It 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.

[0034] The predefined fuzzy rules can be: Input variables: carbon monoxide concentration (low, medium, high), temperature (low, medium, high), humidity (low, medium, high); Output variables: fan speed (low, medium, high), damper opening (small, medium, large); Example rule: If the carbon monoxide concentration is high and the temperature is high, the fan speed is high and the damper is closed; If the carbon monoxide concentration is medium and the temperature is high, the fan speed is medium and the damper is closed; If the carbon monoxide concentration is low and the temperature is high, the fan speed is low and the damper opening is large.

[0035] These rules can be adjusted and optimized according to actual conditions to suit different tunnel environments and ventilation needs.

[0036] like Figure 2As shown, the present invention provides a ventilation control system for a confined space between tunnel dampers, comprising an infrared sensor, an environment detection device and a main control module; the infrared sensor is arranged on a side of the tunnel damper away from the confined space, and is used to detect whether a vehicle is approaching; the environment 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 determine whether to start the axial flow fan installed in the confined space to ventilate the confined space according to the processing result, and determine whether to drive the damper to open through the damper actuator.

[0037] Figure 3 The present invention provides a schematic diagram of the structure 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.

[0038] 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, and it may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0039] The memory 320 can be used to store the execution instructions of the processor 310, and the memory 320 can be implemented by any type of volatile or non-volatile storage terminal 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 the memory 320 are executed by the processor 310, the terminal 300 can perform some or all of the steps in the following method embodiments.

[0040] The processor 310 is the control center of the storage terminal, and uses various interfaces and lines to connect various parts of the entire electronic terminal. It runs or executes software programs and / or modules stored in the memory 320, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. 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.

[0041] 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.

[0042] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0043] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling 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 each embodiment of the present invention.

[0044] 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.

[0045] 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 only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that 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, which can be electrical, mechanical or other forms.

[0046] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0047] 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.

[0048] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A method for controlling ventilation of a closed space between air doors in a tunnel, wherein two air doors are arranged in the tunnel, and a closed 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, then start the environment detection device installed in the enclosed space to detect the environment in the enclosed space, and transmit the detected environment data 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 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.

2. The ventilation control method for the enclosed space between tunnel air doors according to claim 1, characterized in that: Environmental detection equipment includes carbon monoxide sensors and temperature and humidity sensors.

3. The ventilation control method for the enclosed space between tunnel air doors according to claim 1, characterized in that: 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 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 device is converted into corresponding fuzzy values ​​using a membership function; 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; 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.

4. The ventilation control method for the enclosed space between tunnel air doors according to claim 3, 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: 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 20ppm, the threshold range of the medium fuzzy set is greater than or equal to 20ppm and less than or equal to 50ppm, and the threshold range of the high fuzzy set is greater than 50ppm; 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 triangular membership function of the highly fuzzy set is: ； in, is the membership degree of the carbon monoxide high fuzzy set.

5. The ventilation control method for the enclosed space between tunnel air doors according to claim 3, 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 a low fuzzy set, a medium fuzzy set and a 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.

6. The ventilation control method for the enclosed space between tunnel air doors according to claim 3, characterized in that: The humidity data detected by the temperature and humidity sensor is converted into the corresponding fuzzy value using the Gaussian membership function. The formula of the Gaussian membership function is: ； in, is the membership degree of humidity data; H is humidity data, specifically humidity percentage; is the average value of the detected humidity data; is the standard deviation of the detected humidity data.

7. The ventilation control method for the enclosed space between tunnel air doors according to claim 3, characterized in that: The centroid method formula is: ； in, is a possible output value of the axial flow fan and / or a possible output value of the damper actuator; It 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.

8. 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 the pre-stored fuzzy algorithm, and determine whether to start the axial flow fan installed in the enclosed space to ventilate the enclosed space according to the processing result, and determine whether to drive the damper to open through the damper actuator.

9. 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 7.

10. 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 7 is implemented.

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