A tunnel drainage system blockage warning system based on sectional monitoring of drainage volume

Abstract

This application provides a tunnel drainage system blockage warning system based on segmented monitoring of drainage volume, including: obtaining water flow data at corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points in the tunnel to be warned; calculating the daily water flow Q of each data monitoring point according to a preset water flow statistical algorithm and the water flow data; obtaining the water flow of each section of the tunnel according to a preset segmented water flow statistical algorithm, and the segmented water flow statistical algorithm is Q′ n =Q n -Q n‑1 ; Based on the monitoring data of the initial operation year, form an alarm threshold for determining the blockage of the drainage system, and correct it year by year according to the drainage volume monitoring combined with manual inspection to form a stable drainage system alarm threshold; compare the Q′ n with a preset blockage warning threshold. If the Q′ n is lower than the blockage warning threshold, locate the possible blockage position of the drainage system and issue a warning, check and dredge the pipeline to ensure the smoothness of the drainage system.

Description

Technical Field

[0001] This application belongs to the field of tunnel waterlogging warning, and particularly relates to a tunnel drainage system blockage warning system based on segmented monitoring of drainage volume. Background Art

[0002] The water drainage and prevention technology for mountain tunnels mainly includes two schemes: the drainage type mainly based on drainage and the control type combining drainage and prevention. For drainage type and drainage and prevention combined tunnels, a smooth drainage system is a prerequisite for ensuring structural and operation safety; once the drainage system is blocked, it will pose a serious threat to structural safety. However, the existing technology can usually only judge whether the tunnel is blocked, but cannot accurately locate the blocked position. Summary of the Invention

[0003] The main purpose of the embodiments of the present invention is to provide a tunnel drainage system blockage warning system based on segmented monitoring of drainage volume, so that the blockage warning can respectively warn different tunnel segments in the tunnel, and can quickly and accurately obtain the blocked tunnel segment, which is convenient for quickly clearing the blockage.

[0004] In a first aspect, a method for warning of tunnel drainage blockage based on segmented monitoring of drainage volume is provided, and the method includes:

[0005] Obtaining water flow data at corresponding positions through multiple groups of open channel flow meters preset at multiple data monitoring points of the tunnel to be warned. Each group of open channel flow meters includes a first open channel flow meter arranged in the first side ditch, a second open channel flow meter arranged in the second side ditch, and a third open channel flow meter arranged in the central ditch. The distance between each group of open channel flow meters is the same;

[0006] According to a preset water flow statistical algorithm and the water flow data, statistically calculate the daily water flow Q of each data monitoring point;

[0007] Obtain the water flow of each tunnel segment according to a preset segmented water flow statistical algorithm, and the segmented water flow statistical algorithm is Q n ′ = Q n - Q n-1 where Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, Q n is the water flow statistically calculated at the nth data monitoring point, and Q n-1 is the water flow statistically calculated at the (n - 1)th data monitoring point;

[0008] Compare the Q n ′ with a preset blockage warning threshold. If the Q n ′ is lower than the blockage warning threshold, then give a warning.

[0009] In a possible implementation manner, the water flow statistical algorithm is specifically: wherein, ΔT is the interval time, v 1i and h 1i are respectively the average cross-sectional flow velocity and liquid level height of the first side ditch, v 2i and h 2i are respectively the average cross-sectional flow velocity and liquid level height of the second side ditch, v 3i and h 3i are respectively the average cross-sectional flow velocity and liquid level height of the central ditch, B 1 and B 2 are respectively the side ditch width and the central ditch width.

[0010] In another possible implementation, the blockage warning threshold is the water flow value with the lowest water flow in the corresponding tunnel section within 45 days before and after the day to be warned.

[0011] In another possible implementation, the method includes:

[0012] If a warning occurs, through on-site manual inspection, verify whether a blockage has occurred. If no blockage has occurred, correct the blockage warning threshold.

[0013] In a second aspect, a system for warning of tunnel drainage blockage based on segmented monitoring of drainage volume is provided. The system includes:

[0014] A water flow data acquisition module, configured to acquire water flow data at corresponding positions through multiple groups of open channel flow meters preset at multiple data monitoring points in the tunnel to be warned. Each group of open channel flow meters includes a first open channel flow meter arranged in the first side ditch, a second open channel flow meter arranged in the second side ditch, and a third open channel flow meter arranged in the central ditch. The distance between each group of open channel flow meters is the same;

[0015] A water flow statistics module, configured to statistically calculate the daily water flow Q of each data monitoring point according to a preset water flow statistical algorithm and the water flow data;

[0016] A tunnel section water flow statistics module, configured to obtain the water flow of each tunnel section according to a preset segmented water flow statistical algorithm. The segmented water flow statistical algorithm is Q n ′ = Q n -Q n-1 , where Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, Q n is the water flow statistically calculated at the nth data monitoring point, and Q n-1 is the water flow statistically calculated at the (n - 1)th data monitoring point;

[0017] A warning module, configured to compare the Q n ′ with a preset blockage warning threshold. If the Q nIf it is lower than the blockage warning threshold, a warning is issued.

[0018] In a possible implementation, the water flow statistical algorithm is specifically: where ΔT is the interval time, v 1i and h 1i are respectively the average cross-sectional flow velocity and liquid level height of the first side ditch, v 2i and h 2i are respectively the average cross-sectional flow velocity and liquid level height of the second side ditch, v 3i and h 3i are respectively the average cross-sectional flow velocity and liquid level height of the central ditch, B 1 and B 2 are respectively the side ditch width and the central ditch width.

[0019] In another possible implementation, the blockage warning threshold is the water flow value with the lowest water flow in the corresponding tunnel section within 45 days before and after the day to be warned.

[0020] In another possible implementation, the system includes:

[0021] An inspection and correction module, which is used to, if a warning occurs, conduct on-site manual inspections to verify whether a blockage has occurred. If no blockage has occurred, the blockage warning threshold is corrected.

[0022] In a third aspect, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the method for tunnel drainage blockage warning based on sectional monitoring of drainage volume provided in the first aspect.

[0023] In a fourth aspect, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements the method for tunnel drainage blockage warning based on sectional monitoring of drainage volume provided in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments of the present application.

[0025] Figure 1 It is a flowchart of the method for tunnel drainage blockage warning based on sectional monitoring of drainage volume provided by an embodiment of the present invention;

[0026] Figure 2 It is a flowchart of the method for tunnel drainage blockage warning based on sectional monitoring of drainage volume provided by another embodiment of the present invention;

[0027] Figure 3Structural diagram of the tunnel drainage blockage warning system based on sectional monitoring of drainage volume provided by an embodiment of the present invention;

[0028] Figure 4 Structural diagram of the tunnel drainage blockage warning system based on sectional monitoring of drainage volume provided by another embodiment of the present invention;

[0029] Figure 5 Schematic diagram of the physical structure of an electronic device according to the present invention;

[0030] Figure 6 Schematic diagram of the layout of data monitoring points in the tunnel according to the present invention;

[0031] Figure 7 Cross-sectional schematic diagram of the waterproof and drainage system in the tunnel according to the present invention;

[0032] Figure 8 Schematic diagram of the positions of the inner side ditch and the central ditch in the tunnel according to the present invention;

[0033] Figure 9 Installation schematic diagram of the open channel flowmeter according to the present invention.

[0034] Specific implementation mode

[0035] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar modules or modules with the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and should not be construed as a limitation to the present invention.

[0036] Those skilled in the art of the present technology can understand that unless specifically stated otherwise, the singular forms "a", "an", "the" and "said" used herein may also include the plural forms. It should be further understood that the term "including" used in the specification of the present application means the presence of the described features, integers, steps, operations, modules and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, modules, components and / or groups thereof. It should be understood that when we say that a module is "connected" or "coupled" to another module, it can be directly connected or coupled to other modules, or there may also be intermediate modules. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The phrase "and / or" used herein includes all or any one of the listed items and all combinations of one or more related items.

[0037] To make the purpose, technical solution and advantages of the present application clearer, the implementation mode of the present application will be further described in detail below with reference to the accompanying drawings.

[0038] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. The following several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0039] As Figure 1 shown is a flowchart of a method for early warning of tunnel drainage blockage based on sectional monitoring of displacement, and the method includes:

[0040] Step 101, obtain the water flow data at the corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points of the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in the first side ditch, a second open-channel flow meter arranged in the second side ditch, and a third open-channel flow meter arranged in the central ditch. The distance between each group of open-channel flow meters is the same;

[0041] Step 102, statistically calculate the daily water flow Q of each data monitoring point according to the preset water flow statistical algorithm and the water flow data;

[0042] Step 103, obtain the water flow of each section of the tunnel according to the preset sectional water flow statistical algorithm. The sectional water flow statistical algorithm is Q n ′ = Q n - Q n-1 , where Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, Q n is the water flow statistically calculated at the nth data monitoring point, and Q n-1 is the water flow statistically calculated at the (n - 1)th data monitoring point;

[0043] Step 104, compare the Q n ′ with the preset blockage early warning threshold. If the Q n ′ is lower than the blockage early warning threshold, then give an early warning.

[0044] In the embodiments of the present invention, a one-way slope or a herringbone slope is usually adopted for the tunnel. A set of open-channel flow meters is arranged at the same interval in the tunnel, and the position where the open-channel flow meters are arranged is the data monitoring point. Each set of open-channel flow meters includes: a first open-channel flow meter arranged in the first side ditch, a second open-channel flow meter arranged in the second side ditch, and a third open-channel flow meter arranged in the central ditch. The water flow up to the data monitoring point can be counted through each set of open-channel flow meters. The interval distance between the data monitoring points can be set according to the actual distance of the tunnel, and the present application does not limit this. Preferably, the interval distance between the data monitoring points is 50 - 60 m. For the open-channel flow meters, they can be fixed on the side walls of the side ditches and the central ditch. The open-channel flow meter is composed of a flow velocity detection sensor, a liquid level sensor, a power line, and a data transmission line, and the power of the open-channel flow meter can be provided by the power lighting circuit of the tunnel.

[0045] Among them, the water flow calculation algorithm is specifically: Among them, ΔT is the interval time, v 1i and h 1i are respectively the average cross-sectional flow velocity and liquid level height of the first side ditch, v 2i and h 2i are respectively the average cross-sectional flow velocity and liquid level height of the second side ditch, v 3i and h 3i are respectively the average cross-sectional flow velocity and liquid level height of the central ditch, B 1 and B 2 are respectively the side ditch width and the central ditch width.

[0046] Among them, the blockage warning threshold is the water flow value with the lowest water flow in the corresponding tunnel section within 45 days before and after the day to be warned.

[0047] In the embodiments of the present invention, the water flow data at the corresponding positions is obtained through multiple sets of open-channel flow meters preset at multiple data monitoring points in the tunnel to be warned. The daily water flow Q of each data monitoring point is counted according to the preset water flow calculation algorithm, and the water flow of each tunnel section is obtained according to the preset sectional water flow calculation algorithm. The sectional water flow calculation algorithm is Q n ′ = Q n -Q n-1 , and the Q n ′ is compared with the preset blockage warning threshold. If the Q n ′ is lower than the blockage warning threshold, a warning is issued. Enabling blockage warning can warn different tunnel sections in the tunnel separately, and can quickly and accurately obtain the tunnel section where blockage occurs, facilitating quick cleaning of the blockage.

[0048] As Figure 2 shown is the flowchart of the method for tunnel drainage blockage warning based on sectional monitoring of drainage volume provided by another embodiment of the present invention. The method includes:

[0049] Step 105, if a warning occurs, conduct on-site manual inspections to verify whether a blockage has occurred. If no blockage has occurred, correct the blockage warning threshold.

[0050] In the embodiment of the present invention, if a warning situation occurs, it is also necessary for the staff to conduct on-site inspections to verify whether a blockage has actually occurred. If a blockage has occurred, clean the blockage. If no blockage has occurred, it is necessary to correct and update the blockage warning threshold to ensure the accuracy of the next blockage warning.

[0051] As Figure 3 shown in the structural diagram of the tunnel drainage system blockage warning system based on sectional monitoring of the drainage volume provided by an embodiment of the present invention, the system includes:

[0052] A water flow data acquisition module 301, configured to acquire water flow data at corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points in the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in the first side ditch, a second open-channel flow meter arranged in the second side ditch, and a third open-channel flow meter arranged in the central ditch, and the distance between each group of open-channel flow meters is the same;

[0053] A water flow statistics module 302, configured to count the daily water flow Q of each data monitoring point according to a preset water flow statistical algorithm and the water flow data;

[0054] A tunnel section water flow statistics module 303, configured to obtain the water flow of each tunnel section according to a preset sectional water flow statistical algorithm, and the sectional water flow statistical algorithm is Q n ′ = Q n - Q n-1 where Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, Q n is the water flow counted at the nth data monitoring point, and Q n-1 is the water flow counted at the (n - 1)th data monitoring point;

[0055] A warning module 304, configured to compare the Q n ′ with a preset blockage warning threshold. If the Q n ′ is lower than the blockage warning threshold, a warning is issued.

[0056] In the embodiments of the present invention, a one-way slope or a herringbone slope is usually adopted for the tunnel. A set of open-channel flow meters is arranged at the same interval in the tunnel, and the position where the open-channel flow meter is arranged is the data monitoring point. Each set of open-channel flow meters includes: a first open-channel flow meter arranged in the first side ditch, a second open-channel flow meter arranged in the second side ditch, and a third open-channel flow meter arranged in the central ditch. The water flow up to the data monitoring point can be counted through each set of open-channel flow meters. The interval distance between the data monitoring points can be set according to the actual distance of the tunnel, and the present application does not limit this. Preferably, the interval distance between the data monitoring points is 50 - 60 m. For the open-channel flow meter, it can be fixed on the side walls of the side ditch and the central ditch. The open-channel flow meter is composed of a flow velocity detection sensor, a liquid level sensor, a power line, and a data transmission line, and the power of the open-channel flow meter can be provided by the power lighting circuit of the tunnel.

[0057] Among them, the water flow statistical algorithm is specifically: Among them, ΔT is the interval time, v 1i and h 1i are respectively the average cross-sectional flow velocity and liquid level height of the first side ditch, v 2i and h 2i are respectively the average cross-sectional flow velocity and liquid level height of the second side ditch, v 3i and h 3i are respectively the average cross-sectional flow velocity and liquid level height of the central ditch, B 1 and B 2 are respectively the side ditch width and the central ditch width.

[0058] Among them, the blockage warning threshold is the water flow value with the lowest water flow in the corresponding tunnel section within 45 days before and after the day to be warned.

[0059] In the embodiments of the present invention, multiple sets of open-channel flow meters preset at multiple data monitoring points of the tunnel to be warned are used to obtain the water flow data at the corresponding positions. According to the preset water flow statistical algorithm, the daily water flow Q of each data monitoring point is counted. According to the preset sectional water flow statistical algorithm, the water flow of each section of the tunnel is obtained. The sectional water flow statistical algorithm is Q n ′ = Q n -Q n-1 , and the Q n ′ is compared with the preset blockage warning threshold. If the Q n ′ is lower than the blockage warning threshold, a warning is issued. The blockage warning can warn different tunnel sections in the tunnel separately, and the tunnel section where the blockage occurs can be obtained quickly and accurately, which is convenient for quickly clearing the blockage.

[0060] As Figure 4 shown is the structural diagram of the tunnel drainage blockage warning system based on sectional drainage monitoring provided by another embodiment of the present invention. The system includes:

[0061] The patrol correction module 305 is used to, if a warning occurs, conduct on-site manual patrols to verify whether a blockage has occurred. If no blockage has occurred, the blockage warning threshold is corrected.

[0062] In an embodiment of the present invention, if a warning occurs, it is also necessary for the staff to conduct on-site patrols to verify whether a blockage has actually occurred. If a blockage has occurred, the blockage is cleared. If no blockage has occurred, the blockage warning threshold needs to be corrected and updated to ensure the accuracy of the next blockage warning.

[0063] Figure 5 An example of a schematic physical structure diagram of an electronic device is shown as Figure 5 shown. The electronic device may include: a processor 501, a communication interface 502, a memory 503, and a communication bus 504. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus. The processor can call the logical instructions in the memory to execute the method for tunnel drainage blockage warning based on sectional monitoring of the drainage volume. The method includes: obtaining the water flow data at the corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points in the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in the first side ditch, a second open-channel flow meter arranged in the second side ditch, and a third open-channel flow meter arranged in the central ditch. The distance between each group of open-channel flow meters is the same; according to the preset water flow statistical algorithm and the water flow data, the daily water flow Q of each data monitoring point is statistically calculated; according to the preset sectional water flow statistical algorithm, the water flow of each section of the tunnel is obtained. The sectional water flow statistical algorithm is Q n ′ = Q n - Q n-1 , where the Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, the Q n is the water flow statistically calculated at the nth data monitoring point, and the Q n-1 is the water flow statistically calculated at the (n - 1)th data monitoring point; comparing the Q n ′ with the preset blockage warning threshold. If the Q n ′ is lower than the blockage warning threshold, a warning is issued.

[0064] In addition, when the logic instructions in the above-mentioned memory are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0065] On the other hand, an embodiment of the present invention also provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the method for early warning of tunnel drainage blockage based on sectional monitoring of displacement provided in the above-mentioned method embodiments. The method includes: obtaining water flow data at corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points in the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in side ditch one, a second open-channel flow meter arranged in side ditch two, and a third open-channel flow meter arranged in the central ditch. The distance between each group of open-channel flow meters is the same; statistically calculating the daily water flow Q of each data monitoring point according to a preset water flow statistical algorithm and the water flow data; obtaining the water flow of each section of the tunnel according to a preset sectional water flow statistical algorithm. The sectional water flow statistical algorithm is Q n ′ = Q n -Q n-1 , where the Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, the Q n is the water flow statistically calculated at the nth data monitoring point, and the Q n-1 is the water flow statistically calculated at the (n - 1)th data monitoring point; comparing the Q n ′ with a preset blockage early warning threshold. If the Q n ′ is lower than the blockage early warning threshold, an early warning is issued.

[0066] In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is configured to execute the method for early warning of tunnel drainage blockage based on sectional monitoring of displacement provided in the above embodiments. The method includes: obtaining water flow data at corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points in the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in side ditch one, a second open-channel flow meter arranged in side ditch two, and a third open-channel flow meter arranged in the central ditch. The distance between each group of open-channel flow meters is the same; statistically calculating the daily water flow Q of each data monitoring point according to a preset water flow statistical algorithm and the water flow data; obtaining the water flow of each section of the tunnel according to a preset sectional water flow statistical algorithm, and the sectional water flow statistical algorithm is Q n ′ = Q n -Q n-1 , where the Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, the Q n is the water flow statistically calculated at the nth data monitoring point, and the Q n-1 is the water flow statistically calculated at the (n - 1)th data monitoring point; comparing the Q n ′ with a preset blockage early warning threshold. If the Q n ′ is lower than the blockage early warning threshold, an early warning is issued.

[0067] As Figure 6 shown is a schematic layout diagram of data monitoring points in the tunnel of the present invention;

[0068] As Figure 7 shown is a schematic cross-sectional view of the waterproof and drainage system in the tunnel of the present invention;

[0069] As Figure 8 shown is a schematic position diagram of side ditches and central ditches in the tunnel of the present invention;

[0070] As Figure 9 shown is a schematic installation diagram of the open-channel flow meter of the present invention.

[0071] It should be understood that although the steps in the flowchart of the accompanying drawings are shown sequentially according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order restriction, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. Their execution order is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0072] The above are only some implementation manners of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for early warning of tunnel drainage blockage based on sectional monitoring of drainage volume, characterized in that, the method includes: Obtaining water flow data at corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points of the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in side ditch one, a second open-channel flow meter arranged in side ditch two, and a third open-channel flow meter arranged in the central ditch. The distance between each group of open-channel flow meters is the same; Statistically calculate the daily water flow Q of each data monitoring point according to a preset water flow statistical algorithm and the water flow data; the water flow statistical algorithm is specifically as follows: where ΔT is the interval time, v 1i and h 1i are respectively the average cross-sectional velocity and liquid level height of the first side ditch, v 2i and h 2i are respectively the average cross-sectional velocity and liquid level height of the second side ditch, v 3i and h 3i are respectively the average cross-sectional velocity and liquid level height of the central ditch, B 1 and B 2 are respectively the side ditch width and the central ditch width; Obtain the water flow of each section of the tunnel according to a preset segmented water flow statistical algorithm, and the segmented water flow statistical algorithm is Q n ′ = Q n - Q n-1 , where Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, Q n is the water flow statistics at the nth data monitoring point, and Q n-1 is the water flow statistics at the (n - 1)th data monitoring point; Compare the Q n ′ with a preset blockage warning threshold, and issue a warning if the Q n ′ is lower than the blockage warning threshold; If a warning occurs, through on-site manual inspection, verify whether there is a blockage. If there is no blockage, correct the blockage warning threshold.

2. The method according to claim 1, characterized in that, the blockage warning threshold is the lowest water flow value of the corresponding tunnel section within 45 days before and after the warning date.

3. A tunnel drainage system blockage warning system based on sectional monitoring of drainage volume, characterized in that, the system includes: A water flow data acquisition module for obtaining water flow data at corresponding positions through multiple groups of open-channel flow meters preset at multiple data monitoring points of the tunnel to be warned. Each group of open-channel flow meters includes a first open-channel flow meter arranged in side ditch one, a second open-channel flow meter arranged in side ditch two, and a third open-channel flow meter arranged in the central ditch. The distance between each group of open-channel flow meters is the same; A water flow statistics module is used to calculate the daily water flow Q of each data monitoring point according to a preset water flow calculation algorithm and the water flow data; the water flow calculation algorithm is specifically as follows: where ΔT is the interval time, v 1i and h 1i are the average cross-sectional velocity and liquid level height of the first side ditch respectively, v 2i and h 2i are the average cross-sectional velocity and liquid level height of the second side ditch respectively, v 3i and h 3i are the average cross-sectional velocity and liquid level height of the central ditch respectively, B 1 and B 2 are the side ditch width and the central ditch width respectively; Tunnel section water flow statistics module, which obtains the water flow of each tunnel section according to a preset segmented water flow calculation algorithm. The segmented water flow calculation algorithm is Q n ′ = Q n -Q n-1 , where Q n ′ is the water flow from the (n - 1)th data monitoring point to the nth data monitoring point, Q n is the water flow statistics at the nth data monitoring point, and Q n-1 is the water flow statistics at the (n - 1)th data monitoring point; An early warning module for comparing the Q n ′ with a preset blockage early warning threshold, and giving an early warning if the Q n ′ is lower than the blockage early warning threshold; An inspection and correction module for, if a warning occurs, verifying whether there is a blockage through on-site manual inspection, and if there is no blockage, correcting the blockage warning threshold.

4. The system according to claim 3, characterized in that, the blockage warning threshold is the lowest water flow value of the corresponding tunnel section within 45 days before and after the warning date.

5. An electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, when the processor executes the program, it implements the method for early warning of tunnel drainage blockage based on sectional monitoring of drainage volume according to any one of claims 1-2.

6. A non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that, when the computer program is executed by a processor, it implements the method for early warning of tunnel drainage blockage based on sectional monitoring of drainage volume according to any one of claims 1-2.

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