Air door control method and device based on underground camera

Abstract

The invention provides an air door control method and device based on an underground camera, and relates to the technical field of underground ventilation control. The actual air distribution amount of the underground air consumption point is finally obtained by obtaining the required air volume of the underground air consumption point, obtaining the air supply amount of a vehicle driving roadway leading to the underground air consumption point and monitoring personnel and vehicles in the vehicle driving roadway through a camera and determining influences, and if the actual air distribution amount is smaller than the required air volume, the underground air consumption point is started. If yes, giving an alarm to prompt that the number of vehicles and personnel in the vehicle driving roadway exceeds the standard at the current moment. Therefore, the roadway image is obtained in real time through the camera, accurate recognition and quantity statistics of personnel and vehicles in the roadway can be achieved, the data are structured into roadway occupation information which serves as important reference for air distribution and ventilation control, the intelligent level of mine ventilation regulation and control is improved, and the safety of mine ventilation regulation and control is improved. And the safety of mine operation and efficient utilization of ventilation resources are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of underground ventilation management and control, and in particular to a damper control method based on an underground camera, a damper control device based on an underground camera, a computer-readable storage medium and a damper control system. Background Art

[0002] The mine ventilation system is an important part of the mine production system. Its rationality has an important and long-term impact on the safe production of the mine. At present, there are many types of mine ventilation systems, and there is a common phenomenon that each system operates independently of each other, resulting in low resource utilization and the inability to form an effective linkage management mechanism. For example, in terms of mine ventilation control, although some intelligent systems are able to monitor and adjust air volume and air pressure, these systems are often limited to independent operation and lack the ability to link with other underground systems. In addition, the personnel and vehicle positioning system in the mine is mainly used to improve the efficiency of safe production. Its core function is the real-time positioning and path management of underground personnel and vehicles, but no substantial breakthrough has been made in the coordination with the ventilation system. Similarly, the underground equipment monitoring system usually focuses on the monitoring of the equipment operating status and fault warning, and the operating data of these systems and the ventilation control requirements have not been efficiently communicated.

[0003] Due to the lack of information exchange and collaborative control capabilities of various working systems, it is difficult for existing technical means to achieve global optimization when dealing with the complex and changeable ventilation needs of mines. For example, when gas accumulation, dust exceeding the standard or equipment failure occurs, the underground ventilation system cannot quickly respond to abnormal data provided by the relevant monitoring system and make dynamic adjustments, which may lead to increased safety hazards. In addition, traditional ventilation control methods often rely on manual intervention, which is not only inefficient, but also has problems such as delayed response and inaccurate control.

[0004] In summary, the prior art has technical problems such as strong system independence, poor data interoperability, and insufficient linkage control capabilities. Summary of the invention

[0005] The main purpose of the present application is to provide a damper control method based on a downhole camera, a damper control device based on a downhole camera, a computer-readable storage medium and a damper control system, so as to at least solve the technical problems existing in the prior art in terms of strong system independence, poor data interoperability and insufficient linkage control capability.

[0006] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a damper control method based on an underground camera is provided, including: obtaining the required air volume of an underground air-using point to obtain a first air volume, obtaining the supply air volume of a vehicle driving lane leading to the underground air-using point to obtain a second air volume; monitoring the personnel and vehicles in the vehicle driving lane through a camera to obtain lane occupancy information; determining the influence of the personnel and vehicles in the vehicle driving lane on the second air volume based on the lane occupancy information to obtain a third air volume; determining the actual air supply volume of the underground air-using point based on the second air volume and the third air volume to obtain a fourth air volume; when the fourth air volume is less than the first air volume, issuing a first alarm message, the first alarm message being used to indicate that the number of vehicles and personnel in the vehicle driving lane at the current moment exceeds the standard.

[0007] Optionally, the lane occupancy information is obtained by monitoring people and vehicles in the lane where the vehicle is traveling through a camera, including: acquiring a first target image in real time through a camera installed in the lane where the vehicle is traveling, the first target image being an image containing vehicles or people; identifying and locating a target object through a target detection algorithm based on the first target image to obtain a second target image, the target object including people and vehicles; extracting features based on the second target image to obtain target feature information, and processing based on a classification model based on the target feature information to obtain a target type, a first quantity, and a second quantity, the target type being the type of each vehicle in the lane where the vehicle is traveling, the first quantity being the number of vehicles in the lane where the vehicle is traveling, and the second quantity being the number of people in the lane where the vehicle is traveling; generating the lane occupancy information based on the target type, the first quantity, and the second quantity.

[0008] Optionally, the influence of people and vehicles in the vehicle driving lane on the second air volume is determined based on the lane occupancy information to obtain a third air volume, including: querying the target mapping relationship according to the target type to obtain a fifth air volume, the target mapping relationship being a mapping relationship between the target type and the corresponding vehicle occupied air volume; obtaining exhaust emission data of vehicles in the vehicle driving lane, and determining the total air volume occupied by vehicles in the vehicle driving lane based on the exhaust emission data, the first quantity and the fifth air volume to obtain a sixth air volume; determining the corresponding seventh air volume based on the second quantity, the seventh air volume being the total air volume expected to be occupied by people in the vehicle driving lane; and determining the third air volume based on the sixth and seventh air volumes.

[0009] Optionally, determining the actual air volume distributed at the underground air point based on the second air volume and the third air volume to obtain a fourth air volume includes: calculating the difference between the second air volume and the third air volume to obtain the fourth air volume.

[0010] Optionally, after determining the actual air supply volume of the underground air use point based on the second air volume and the third air volume to obtain the fourth air volume, the method further includes: when the fourth air volume is greater than the first air volume, calculating the difference between the fourth air volume and the first air volume to obtain the remaining air supply volume; acquiring underground construction data, and determining vehicle information of vehicles that have not entered the vehicle driving lane based on the underground construction data, the vehicle information including the number of vehicles and the type of vehicles; generating multiple vehicle allocation plans based on the vehicle information and the target mapping relationship, the vehicle allocation plan including the number and type of vehicles that can be dispatched to the vehicle driving lane at the current moment; and performing vehicle scheduling based on any one of the vehicle allocation plans.

[0011] Optionally, after issuing a first alarm message, the method further includes: closing a first damper located at the entrance of the vehicle driving lane to prevent vehicles from mistakenly entering; when the first damper is in a closed state, issuing a second alarm message, the second alarm message being used to instruct the vehicle in the vehicle driving lane to exit the vehicle driving lane; calculating the difference between the fourth air volume and the first air volume to obtain an air volume gap; and controlling the underground ventilator to replenish air based on the air volume gap.

[0012] Optionally, the underground ventilators are controlled to supply air based on the air volume gap, including: when the air volume gap is less than or equal to a preset threshold value, controlling the local ventilators corresponding to the vehicle driving lane to increase the operating power until the fourth air volume is greater than or equal to the first air volume; when the air volume gap is greater than the preset threshold value, controlling the total underground ventilators to increase the operating power until the fourth air volume is greater than or equal to the first air volume.

[0013] According to another aspect of the present application, a damper control device based on an underground camera is provided, and the device includes: a first acquisition unit, used to acquire the required air volume of an underground air-using point to obtain a first air volume, and acquire the air supply volume of a vehicle driving lane leading to the underground air-using point to obtain a second air volume; a second acquisition unit, used to monitor the personnel and vehicles in the vehicle driving lane through a camera to obtain lane occupancy information; a first calculation unit, used to determine the influence of the personnel and vehicles in the vehicle driving lane on the second air volume based on the lane occupancy information to obtain a third air volume; a second calculation unit, used to determine the actual air supply volume of the underground air-using point based on the second air volume and the third air volume to obtain a fourth air volume; a first alarm unit, used to issue a first alarm message when the fourth air volume is less than the first air volume, and the first alarm message is used to indicate that the number of vehicles and personnel in the vehicle driving lane at the current moment exceeds the standard.

[0014] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the methods for damper control based on a downhole camera.

[0015] According to another aspect of the present application, a damper control system is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the damper control methods based on a downhole camera.

[0016] The technical solution of this application can be used to obtain tunnel images in real time through cameras, which can realize accurate identification and quantity statistics of people and vehicles in the tunnel, and structure these data into tunnel occupancy information as an important reference for air volume distribution and ventilation control. It improves the intelligent level of mine ventilation control and ensures the safety of mine operation and efficient use of ventilation resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A hardware structure block diagram of a mobile terminal according to a damper control method based on a downhole camera provided in an embodiment of the present application is shown;

[0018] Figure 2 A schematic flow chart of a damper control method based on a downhole camera provided according to an embodiment of the present application is shown;

[0019] Figure 3 A schematic diagram of a specific method for identifying lane occupancy information provided according to an embodiment of the present application is shown;

[0020] Figure 4 A schematic diagram of an application scenario of a damper control method based on a downhole camera provided according to an embodiment of the present application is shown;

[0021] Figure 5 A structural block diagram of a damper control device based on a downhole camera provided according to an embodiment of the present application is shown.

[0022] The above drawings include the following reference numerals:

[0023] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0024] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] As introduced in the background technology, the various working systems in the prior art lack information interaction and collaborative control capabilities, resulting in the prior art being difficult to achieve global optimization when dealing with the complex and changeable ventilation needs of mines. In order to solve the problems of strong system independence, poor data interoperability and insufficient linkage control capabilities in the prior art, the embodiments of the present application provide a damper control method based on an underground camera, a damper control device based on an underground camera, a computer-readable storage medium and a damper control system.

[0028] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0029] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal for a damper control method based on a downhole camera according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is for illustration only and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0030] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the display method of device information in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0031] In this embodiment, a damper control method based on a downhole camera is provided, which runs on a mobile terminal, a computer terminal or a similar computing device. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0032] Figure 2 FIG. 1 is a flow chart of a damper control method based on a downhole camera according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0033] Step S201, obtaining the required air volume of the underground air-using point to obtain the first air volume, and obtaining the supplied air volume of the vehicle driving lane leading to the underground air-using point to obtain the second air volume.

[0034] Specifically, the required air volume (first air volume) of the underground air-using point is first obtained through underground sensors, ventilation monitoring devices or related environmental monitoring equipment to meet the minimum ventilation requirements for production and safety. At the same time, the current air supply volume (second air volume) of the vehicle lane leading to the underground air-using point is obtained through the air volume monitoring device. These data are used to establish the basic ventilation condition model of the current lane to provide data support for subsequent analysis.

[0035] It can be seen that accurately obtaining the first air volume and the second air volume enables the system to grasp the ventilation demand and air supply status of the underground air-using points in real time, providing a basis for dynamically adjusting the damper control strategy and avoiding safety hazards caused by insufficient air volume.

[0036] Step S202, monitoring people and vehicles in the lane where the vehicle is traveling by means of a camera to obtain lane occupancy information.

[0037] Specifically, high-definition cameras installed underground are used in combination with image processing algorithms and deep learning models to monitor the activities of people and vehicles in the lanes where vehicles are traveling in real time. The system can accurately identify the number and location of people and vehicles in the lanes and record relevant occupancy information. Using cameras to achieve real-time monitoring can quickly obtain the occupancy status of the lanes, avoid relying on traditional manual recording or inaccurate sensor data, and improve the accuracy and efficiency of data collection.

[0038] Step S203, determining the influence of people and vehicles in the lane where the vehicle travels on the second air volume based on the lane occupancy information, and obtaining a third air volume.

[0039] Specifically, according to the lane occupancy information, the resistance of personnel and vehicles to the air flow in the lane and the consumption of air supply are analyzed, and their impact on the second air volume is calculated to obtain the third air volume. The specific impact of personnel and vehicles on lane ventilation is scientifically quantified, providing more accurate data support for adjusting the actual air volume distribution, and effectively solving the problem of unbalanced air volume distribution caused by lane occupancy.

[0040] Step S204, determining the actual air volume of the underground air point based on the second air volume and the third air volume to obtain a fourth air volume.

[0041] Specifically, based on the comprehensive analysis of the second and third air volumes, the actual air volume (fourth air volume) of the underground air point is calculated to evaluate whether the current damper setting can meet the air demand and provide a basis for damper adjustment. Dynamic calculation of the actual air volume enables the system to adapt to the complex and changeable ventilation environment in the mine in real time, improving the rationality and efficiency of air volume distribution.

[0042] Step S205, when the fourth air volume is less than the first air volume, a first alarm message is issued, and the first alarm message is used to indicate that the number of vehicles and people in the vehicle driving lane at the current moment exceeds the standard.

[0043] Specifically, when the calculated actual air volume (the fourth air volume) is lower than the required air volume (the first air volume), the first alarm message is automatically triggered, indicating that the number of vehicles or personnel in the current tunnel exceeds the designed ventilation capacity. The alarm message can be displayed intuitively through sound, light or system interface, and can also be pushed to relevant managers or dispatch centers. The real-time alarm mechanism can quickly discover and warn of safety hazards of insufficient underground ventilation, making it easier for managers to take timely measures to adjust tunnel occupancy or ventilation strategies, and improve the safety management level of mines.

[0044] Through this embodiment, it can be seen that the present application can obtain and dynamically analyze the ventilation demand of underground air points, the air supply status of the tunnel, and the occupancy information of personnel and vehicles in real time by combining air volume monitoring equipment, underground cameras and intelligent algorithms. Based on these data, the actual impact of personnel and vehicles in the tunnel on the air volume can be accurately evaluated, and the damper control strategy can be dynamically adjusted according to the analysis results. When the actual air volume is not enough to meet the demand, an alarm can be automatically triggered to prompt management personnel to take corrective measures. Compared with the traditional fixed ventilation mode, the intelligence level of the mine ventilation system is improved, the air volume distribution is optimized, safety hazards are reduced, and energy efficiency is improved.

[0045] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the damper control method based on the downhole camera of the present application will be described in detail below in combination with specific embodiments.

[0046] This embodiment relates to a specific method for identifying lane occupancy information. Figure 3 As shown, the following steps are included:

[0047] Step S2021: A first target image is acquired in real time through a camera installed in the lane where the vehicle is traveling. The first target image is an image containing a vehicle or a person.

[0048] Specifically, high-resolution cameras are arranged in key areas of the tunnel to ensure that the entire passage range in the tunnel can be covered. The camera collects image information in the tunnel in real time, forms the first target image, and captures the dynamic activity status of personnel and vehicles. The camera can have night vision, dust resistance and other functions to adapt to the special environment of the mine. Using the camera to collect high-quality images in real time can ensure the integrity and real-time nature of data input, provide a reliable basic data source for subsequent processing, and avoid the risk of missed detection or information loss.

[0049] Step S2022: Based on the first target image, the target object is identified and located by using a target detection algorithm to obtain a second target image. The target object includes a person and a vehicle.

[0050] Specifically, target detection algorithms (such as YOLO, Faster R-CNN, etc.) are used to accurately identify and locate people and vehicles in the first target image. The system generates a second target image containing the target area based on the position, shape, and color features of the target object to ensure effective segmentation of vehicles and people in the image. Through the target detection algorithm, people and vehicles in the lane can be accurately identified and located, effectively improving the accuracy of lane occupancy information extraction.

[0051] Step S2023: Perform feature extraction based on the second target image to obtain target feature information, and perform processing based on the classification model based on the target feature information to obtain the target type, the first quantity and the second quantity, wherein the target type is the type of each vehicle in the vehicle driving lane, the first quantity is the number of vehicles in the vehicle driving lane, and the second quantity is the number of people in the vehicle driving lane.

[0052] Specifically, the features of each target in the second target image are extracted, including the appearance size, color, and structural features of the vehicle, as well as the body features and behavior patterns of the personnel. The extracted feature information is classified through the trained classification model to identify the type of vehicle, count the number of vehicles (first number) and the number of personnel (second number). The classification model can quickly and accurately distinguish the types of vehicles in the lane, and count the specific number of personnel and vehicles, which helps to fully understand the dynamic occupancy of the lane and improve the intelligent level of ventilation control.

[0053] Step S2024: Generate lane occupancy information based on the target type, the first quantity and the second quantity.

[0054] Specifically, the target type, number of vehicles and number of personnel are comprehensively analyzed to generate structured tunnel occupancy information. The occupancy information includes the types and distribution of personnel and vehicles in the current tunnel, which can serve as an important basis for subsequent air volume calculation and regulation. The generation of tunnel occupancy information realizes a structured description of the dynamic state of the tunnel, provides efficient data support for the damper control strategy, and ensures that it can quickly adapt to the dynamic changes in the mine ventilation environment.

[0055] Therefore, by acquiring tunnel images in real time through cameras, combined with target detection algorithms and classification models, accurate identification and quantitative statistics of people and vehicles in the tunnel can be achieved. Not only can the types and quantities of vehicles and the distribution of personnel be obtained in real time, but these data can also be structured into tunnel occupancy information as an important reference for air volume distribution and ventilation control. Compared with traditional methods, this application has the advantages of high monitoring accuracy, fast response speed, and strong adaptability, which can significantly improve the intelligent level of mine ventilation control and ensure the safety of mine operation and the efficient use of ventilation resources.

[0056] As a possible implementation manner, determining the influence of people and vehicles in the lane where the vehicle is traveling on the second air volume based on the lane occupancy information to obtain the third air volume includes:

[0057] The target mapping relationship is queried according to the target type to obtain the fifth air volume, where the target mapping relationship is a mapping relationship between the target type and the corresponding vehicle occupied air volume.

[0058] Specifically, according to the vehicle type identified by classification, the air volume demand of the vehicle type is searched through the preset target mapping relationship database. The target mapping relationship takes into account factors such as vehicle volume, operating power and actual usage scenarios, and generates the air volume demand (fifth air volume) corresponding to the vehicle type. The target mapping relationship can realize the standardized management of vehicle air volume demand, quickly calculate the occupied air volume of different types of vehicles, and improve the scientificity and accuracy of air volume distribution.

[0059] The exhaust emission data of the vehicles in the vehicle driving lane is obtained, and based on the exhaust emission data, the first quantity and the fifth air volume, the total allocated air volume occupied by the vehicles in the vehicle driving lane is determined to obtain the sixth air volume.

[0060] Specifically, the vehicle exhaust emission data is obtained by the exhaust gas monitoring sensor installed in the tunnel, and the total air volume (sixth air volume) of all vehicles is calculated by combining the first quantity (number of vehicles) and the fifth air volume (standard air volume for each vehicle). This calculation takes into account the dynamic impact of the concentration of harmful gases in exhaust emissions on ventilation needs to ensure that the air volume matches the actual needs. Through dynamic monitoring of exhaust emission data, the system can accurately evaluate the comprehensive impact of vehicle operation on ventilation, improve the adaptability of air volume distribution, and effectively reduce the harm of exhaust gas accumulation to the mine environment.

[0061] A corresponding seventh air volume is determined based on the second quantity, where the seventh air volume is the total air volume that is expected to be occupied by people in the lane where vehicles are traveling.

[0062] Specifically, based on the number of people in the tunnel identified (the second number), combined with the minimum ventilation volume standard required for human physiological activities, the expected occupied air volume (the seventh air volume) of the people in the tunnel is calculated. This calculation takes into account factors such as the tunnel ambient temperature, humidity, and the intensity of people's activities. The calculation of the occupied air volume ensures that underground workers are always in a safe and comfortable environment, which helps to reduce safety hazards caused by insufficient oxygen or excessive concentration of harmful gases.

[0063] The third air volume is determined based on the sixth air volume and the seventh air volume.

[0064] Specifically, the total air volume allocated for vehicle occupancy (the sixth air volume) and the total air volume allocated for personnel occupancy (the seventh air volume) are superimposed to obtain the comprehensive impact of all occupancy factors in the lane on the air volume (the third air volume). The comprehensive calculation of the third air volume can comprehensively evaluate the actual ventilation demand of the lane at present, provide accurate data support for subsequent damper control strategies, and effectively avoid excess or insufficient air volume allocation.

[0065] It can be seen that the air volume demand of the vehicle can be quickly determined through the mapping relationship of the target type, and the comprehensive ventilation demand in the tunnel can be dynamically calculated in combination with the vehicle exhaust emission data and the number of people. By accurately calculating the total air volume occupied by vehicles and the total air volume occupied by people, and combining the influence of these two parts, the overall demand for air volume due to tunnel occupancy factors (the third air volume) is obtained. Compared with traditional methods, this application not only takes into account the real-time dynamic changes of vehicle exhaust emissions, but also conducts a detailed analysis of the physiological needs of personnel, and can more accurately evaluate the actual ventilation conditions of the tunnel. It greatly improves the intelligence and dynamic response capabilities of the mine ventilation system, ensures the safety and environmental suitability of underground operations, and improves the utilization efficiency of ventilation resources.

[0066] As a possible implementation, the actual air volume of the underground air point is determined based on the second air volume and the third air volume to obtain the fourth air volume, including:

[0067] The difference between the second air volume and the third air volume is calculated to obtain the fourth air volume.

[0068] Specifically, on the basis of obtaining the second air volume (tunnel air supply) and the third air volume (the demand for air volume due to tunnel occupancy factors), the difference between the two is calculated to obtain the fourth air volume (the actual air supply of the underground air point). This difference directly reflects whether the current air volume of the tunnel can meet the ventilation needs of the underground air points. The system uses an accurate calculation model to ensure the real-time and accuracy of the results. Through difference calculation, it is possible to quickly evaluate the current ventilation conditions and accurately determine whether there is a problem of insufficient air volume at the underground air points, providing a clear basis for further ventilation adjustment and improving the responsiveness and stability of the mine ventilation system.

[0069] As a possible implementation manner, after determining the actual air volume of the underground air point based on the second air volume and the third air volume to obtain the fourth air volume, the method further includes:

[0070] When the fourth air volume is greater than the first air volume, the difference between the fourth air volume and the first air volume is calculated to obtain the remaining air volume.

[0071] Specifically, the actual air volume (fourth air volume) and required air volume (first air volume) of the underground air use point are monitored in real time. When the fourth air volume exceeds the first air volume, the difference is calculated to obtain the remaining air volume. The difference represents the surplus capacity of the current ventilation system. Through the calculation of the remaining air volume, the system can dynamically evaluate the redundant air volume under the current ventilation conditions, provide data support for resource optimization configuration, and avoid idle waste of air volume.

[0072] Obtain underground construction data, and determine vehicle information of vehicles that have not entered the vehicle driving lane based on the underground construction data, wherein the vehicle information includes the number and type of vehicles.

[0073] Specifically, real-time construction data is obtained through the mine construction dispatching platform or on-site monitoring equipment, including information such as the type, quantity, and location of vehicles that have not entered. These data are integrated to form vehicle information for subsequent dispatch analysis. By obtaining construction data, the dynamics of mine construction can be clearly understood, providing a real and accurate data basis for optimizing dispatching and improving dispatch response efficiency.

[0074] A plurality of vehicle allocation plans are generated based on the vehicle information and the target mapping relationship. The vehicle allocation plan includes the number and type of vehicles that can be added to the vehicle driving lane at the current moment.

[0075] Specifically, the target mapping relationship is used to match the remaining air volume with the standard air volume of the vehicle type, and a variety of vehicle allocation plans are generated. Each plan specifies the type, quantity and priority of the additional vehicles to ensure the rationality of vehicle allocation and ventilation conditions. By generating a variety of vehicle allocation plans, the system can provide flexible options for scheduling, maximize the use of remaining air volume, and avoid insufficient air volume or construction delays caused by improper scheduling.

[0076] Perform vehicle dispatch based on any vehicle allocation scheme.

[0077] Specifically, according to the actual construction needs and the remaining air distribution volume, the optimal solution is selected from the generated distribution solutions to direct vehicles to enter the tunnel. The dispatching instructions are issued through the mine information management system to ensure efficient and accurate vehicle dispatching. The dynamic dispatching mechanism can optimize construction efficiency, avoid resource waste, and improve the comprehensive benefits of mine production while ensuring safe ventilation.

[0078] Therefore, this application dynamically evaluates the remaining capacity of the ventilation system by calculating the difference between the fourth air volume and the first air volume. Based on the remaining air volume and construction data, a variety of vehicle allocation plans can be generated to provide an accurate basis for the scheduling of underground vehicles. Through optimized vehicle scheduling, efficient integration of ventilation resources and construction resources is achieved, significantly improving the efficiency and safety of mine operations.

[0079] As a possible implementation manner, after issuing the first alarm information, the method further includes:

[0080] Close the first damper at the entrance of the vehicle lane to prevent vehicles from entering by mistake.

[0081] Specifically, after detecting insufficient air volume in the lane and issuing the first alarm message, the command is immediately executed to close the first air door at the entrance of the lane to prevent additional vehicles from entering the lane and further exacerbating the insufficient air volume. The timely closure of the first air door avoids overload operation in the lane, effectively reduces the risk of safety accidents caused by insufficient air volume, and buys time for subsequent air volume control.

[0082] When the first damper is in the closed state, a second alarm message is issued, and the second alarm message is used to instruct the vehicle in the vehicle driving lane to drive out of the vehicle driving lane.

[0083] Specifically, after confirming that the first damper has been closed, a second alarm message is issued to notify the vehicle drivers in the tunnel to drive out of the tunnel as soon as possible to relieve the air volume pressure in the tunnel. By reminding the vehicles in the tunnel to drive out, the air volume occupancy in the tunnel can be quickly reduced, normal ventilation conditions can be restored, and the safe operation of the underground ventilation system can be ensured.

[0084] The difference between the fourth air volume and the first air volume is calculated to obtain the air volume gap.

[0085] Specifically, after the alarm is triggered, the difference between the actual air volume (the fourth air volume) and the required air volume (the first air volume) of the underground air point is dynamically calculated to determine the specific size of the current air volume gap. Accurate calculation of the air volume gap can provide a scientific basis for subsequent ventilation supplementation, ensuring that the air supplementation operation is more efficient and meets actual needs.

[0086] Based on the air volume gap, the underground ventilator is controlled to provide air supply.

[0087] Specifically, according to the size of the air volume gap, the working state of the underground ventilator is adjusted (such as starting the backup fan or increasing the speed of the existing fan) to dynamically supplement the air volume in the tunnel until the air volume meets the demand. By intelligently controlling the ventilator to achieve air replenishment, it can quickly respond to the problem of insufficient air volume, avoid unnecessary energy waste, and improve the energy efficiency of the mine ventilation system.

[0088] This application closes the air door at the entrance of the tunnel when the air volume is insufficient to prevent new vehicles from entering, and sends out an alarm to guide vehicles in the tunnel to exit, quickly alleviating the air volume pressure. Combined with the actual calculated air volume gap, the system accurately controls the ventilator to replenish air to ensure that the ventilation needs are effectively met. Compared with the traditional manual intervention method, it realizes the automatic identification, dynamic regulation and efficient compensation of the problem of insufficient air volume, greatly improving the safety and stability of the mine ventilation system.

[0089] As a possible implementation method, the underground ventilator is controlled to provide air supply based on the air volume gap, including:

[0090] When the air volume gap is less than or equal to a preset threshold, the local ventilator corresponding to the lane where the vehicle is traveling is controlled to increase the operating power until the fourth air volume is greater than or equal to the first air volume.

[0091] Specifically, when the calculated air volume gap is small, the system first controls the local ventilator in the tunnel. By adjusting its operating power (such as increasing the speed or turning on the standby ventilator), the air volume in the current tunnel is quickly fine-tuned to make up for the slight air volume shortage until the required air volume (first air volume) of the underground air point is met. The local ventilator is used to compensate for the air volume to avoid affecting the entire mine ventilation system. This method responds quickly and has low energy consumption, which helps save energy and improve the efficiency of ventilation control.

[0092] When the air volume gap is greater than a preset threshold, the total ventilation fan in the well is controlled to increase the operating power until the fourth air volume is greater than or equal to the first air volume.

[0093] Specifically, if the air volume gap exceeds the preset threshold, the system determines that the local ventilator cannot meet the demand. At this time, the underground main ventilator is started for global air supply. By increasing the operating power of the main ventilator (such as increasing the fan speed or switching to high-power mode), sufficient air volume is provided until the demand is met to ensure the overall ventilation safety of the mine. The main ventilator has a strong air supply capacity and is suitable for large-scale air volume adjustment. This mechanism ensures that even in the case of severe air volume shortage, the underground ventilation system can still maintain stable operation and avoid safety hazards caused by insufficient local ventilation.

[0094] It can be seen that by flexibly controlling the local ventilator or the main ventilator for air supply according to the different degrees of air volume gap, intelligent ventilation management with hierarchical regulation is realized. When the air volume gap is small, the local ventilator is adjusted first to respond quickly and save energy. When the air volume gap is large, the main ventilator is enabled for comprehensive air supply to ensure that the ventilation needs are met. Compared with the traditional single air supply mode, this method is efficient and flexible, which not only improves the control ability of the mine ventilation system, but also optimizes the energy utilization rate and mine safety level.

[0095] See also Figure 4 , Figure 4 The schematic diagram of the application scenario of the damper control method based on the downhole camera provided in this application can combine any one or more of the above possible implementation methods to achieve the corresponding effect.

[0096] The embodiment of the present application also provides a damper control device based on a downhole camera. It should be noted that the damper control device based on a downhole camera in the embodiment of the present application can be used to execute the damper control method based on a downhole camera provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0097] The following is an introduction to the damper control device based on the downhole camera provided in the embodiment of the present application.

[0098] Figure 5 is a structural block diagram of a damper control device based on a downhole camera according to an embodiment of the present application. Figure 5 As shown, the device includes: a first acquisition unit 10, a second acquisition unit 20, a first calculation unit 30, a second calculation unit 40, and a first alarm unit 50.

[0099] The first acquisition unit 10 is used to acquire the required air volume of the underground air-using point to obtain the first air volume, and to acquire the air supply volume of the vehicle driving lane leading to the underground air-using point to obtain the second air volume.

[0100] Specifically, the required air volume (first air volume) of the underground air-using point is first obtained through underground sensors, ventilation monitoring devices or related environmental monitoring equipment to meet the minimum ventilation requirements for production and safety. At the same time, the current air supply volume (second air volume) of the vehicle lane leading to the underground air-using point is obtained through the air volume monitoring device. These data are used to establish the basic ventilation condition model of the current lane to provide data support for subsequent analysis.

[0101] It can be seen that accurately obtaining the first air volume and the second air volume enables the system to grasp the ventilation demand and air supply status of the underground air-using points in real time, providing a basis for dynamically adjusting the damper control strategy and avoiding safety hazards caused by insufficient air volume.

[0102] The second acquisition unit 20 is used to monitor people and vehicles in the lane where vehicles are traveling through a camera to obtain lane occupancy information.

[0103] Specifically, high-definition cameras installed underground are used in combination with image processing algorithms and deep learning models to monitor the activities of people and vehicles in the lanes where vehicles are traveling in real time. The system can accurately identify the number and location of people and vehicles in the lanes and record relevant occupancy information. Using cameras to achieve real-time monitoring can quickly obtain the occupancy status of the lanes, avoid relying on traditional manual recording or inaccurate sensor data, and improve the accuracy and efficiency of data collection.

[0104] The first calculation unit 30 is used to determine the influence of people and vehicles in the vehicle driving lane on the second air volume based on the lane occupancy information to obtain the third air volume.

[0105] Specifically, according to the lane occupancy information, the resistance of personnel and vehicles to the air flow in the lane and the consumption of air supply are analyzed, and their impact on the second air volume is calculated to obtain the third air volume. The specific impact of personnel and vehicles on lane ventilation is scientifically quantified, providing more accurate data support for adjusting the actual air volume distribution, and effectively solving the problem of unbalanced air volume distribution caused by lane occupancy.

[0106] The second calculation unit 40 is used to determine the actual air volume of the underground air point based on the second air volume and the third air volume to obtain the fourth air volume.

[0107] Specifically, based on the comprehensive analysis of the second and third air volumes, the actual air volume (fourth air volume) of the underground air point is calculated to evaluate whether the current damper setting can meet the air demand and provide a basis for damper adjustment. Dynamic calculation of the actual air volume enables the system to adapt to the complex and changeable ventilation environment in the mine in real time, improving the rationality and efficiency of air volume distribution.

[0108] The first alarm unit 50 is used to issue a first alarm message when the fourth air volume is less than the first air volume. The first alarm message is used to indicate that the number of vehicles and people in the vehicle driving lane at the current moment exceeds the limit.

[0109] Specifically, when the calculated actual air volume (the fourth air volume) is lower than the required air volume (the first air volume), the first alarm message is automatically triggered, indicating that the number of vehicles or personnel in the current tunnel exceeds the designed ventilation capacity. The alarm message can be displayed intuitively through sound, light or system interface, and can also be pushed to relevant managers or dispatch centers. The real-time alarm mechanism can quickly discover and warn of safety hazards of insufficient underground ventilation, making it easier for managers to take timely measures to adjust tunnel occupancy or ventilation strategies, and improve the safety management level of mines.

[0110] Through this embodiment, it can be seen that the present application can obtain and dynamically analyze the ventilation demand of underground air points, the air supply status of the tunnel, and the occupancy information of personnel and vehicles in real time by combining air volume monitoring equipment, underground cameras and intelligent algorithms. Based on these data, the actual impact of personnel and vehicles in the tunnel on the air volume can be accurately evaluated, and the damper control strategy can be dynamically adjusted according to the analysis results. When the actual air volume is not enough to meet the demand, an alarm can be automatically triggered to prompt management personnel to take corrective measures. Compared with the traditional fixed ventilation mode, the intelligence level of the mine ventilation system is improved, the air volume distribution is optimized, safety hazards are reduced, and energy efficiency is improved.

[0111] The second acquisition unit 20 includes:

[0112] The first acquisition module is used to acquire a first target image in real time through a camera installed in a lane where the vehicle is traveling. The target image is an image containing a vehicle or a person.

[0113] The second acquisition module is used to identify and locate the target object through the target detection algorithm based on the first target image to obtain the second target image. The target object includes people and vehicles.

[0114] The extraction module is used to perform feature extraction based on the second target image to obtain target feature information, and to perform processing based on the classification model based on the target feature information to obtain the target type, the first quantity and the second quantity. The target type is the type of each vehicle in the vehicle driving lane, the first quantity is the number of vehicles in the vehicle driving lane, and the second quantity is the number of people in the vehicle driving lane.

[0115] A generating module is used to generate lane occupancy information based on the target type, the first quantity and the second quantity.

[0116] The first computing unit 30 includes:

[0117] The query module is used to query the target mapping relationship according to the target type to obtain the fifth air volume, where the target mapping relationship is a mapping relationship between the target type and the corresponding vehicle occupied air volume.

[0118] The first determination module is used to obtain exhaust emission data of vehicles in the vehicle driving lane, determine the total allocated air volume occupied by vehicles in the vehicle driving lane based on the exhaust emission data, the first quantity and the fifth air volume, and obtain the sixth air volume.

[0119] The estimation module is used to determine the corresponding seventh air volume based on the second quantity, and the seventh air volume is the total air volume that is expected to be occupied by people in the vehicle driving lane.

[0120] The second determining module is used to determine the third air volume based on the sixth air volume and the seventh air volume.

[0121] The second calculation unit 40 is specifically used to calculate the difference between the second air volume and the third air volume to obtain the fourth air volume. The air door control device based on the downhole camera also includes:

[0122] The remaining air volume calculation module is used to calculate the difference between the fourth air volume and the first air volume to obtain the remaining air volume when the fourth air volume is greater than the first air volume.

[0123] The third determination module is used to obtain underground construction data, and determine the vehicle information of the vehicles that have not entered the vehicle driving lane based on the underground construction data, and the vehicle information includes the number and type of vehicles.

[0124] The vehicle allocation plan generation module is used to generate multiple vehicle allocation plans based on vehicle information and target mapping relationships. The vehicle allocation plan includes the number and type of vehicles that can be added to the vehicle driving lane at the current moment.

[0125] The vehicle dispatching module is used to dispatch vehicles based on any vehicle allocation scheme.

[0126] The damper control device based on the downhole camera also includes:

[0127] The closing unit is used to close the first air door located at the entrance of the vehicle driving lane to prevent vehicles from entering by mistake.

[0128] The second alarm unit is used to send out a second alarm message when the first damper is in a closed state, and the second alarm message is used to instruct the vehicle in the vehicle driving lane to leave the vehicle driving lane.

[0129] The difference calculation unit is used to calculate the difference according to the fourth air volume and the first air volume to obtain the air volume gap.

[0130] The air supply unit is used to control the underground ventilator to supply air based on the air volume gap.

[0131] The air supply unit is specifically used to control the local ventilator corresponding to the vehicle driving lane to increase the operating power when the air volume gap is less than or equal to the preset threshold value until the fourth air volume is greater than or equal to the first air volume. When the air volume gap is greater than the preset threshold value, the total ventilator in the well is controlled to increase the operating power until the fourth air volume is greater than or equal to the first air volume.

[0132] The damper control device based on the downhole camera includes a processor and a memory. The first acquisition unit, the second acquisition unit, the first calculation unit, the second calculation unit, the first alarm unit, etc. are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions. The above modules are all located in the same processor. Alternatively, the above modules are located in different processors in any combination.

[0133] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the communication efficiency can be improved by adjusting the kernel parameters.

[0134] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0135] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the damper control method of the downhole camera.

[0136] Specifically, the damper control method of the downhole camera includes:

[0137] Step S201, obtaining the required air volume of the underground air-using point to obtain the first air volume, and obtaining the supplied air volume of the vehicle driving lane leading to the underground air-using point to obtain the second air volume.

[0138] Specifically, the required air volume (first air volume) of the underground air-using point is first obtained through underground sensors, ventilation monitoring devices or related environmental monitoring equipment to meet the minimum ventilation requirements for production and safety. At the same time, the current air supply volume (second air volume) of the vehicle lane leading to the underground air-using point is obtained through the air volume monitoring device. These data are used to establish the basic ventilation condition model of the current lane to provide data support for subsequent analysis.

[0139] It can be seen that accurately obtaining the first air volume and the second air volume enables the system to grasp the ventilation demand and air supply status of the underground air-using points in real time, providing a basis for dynamically adjusting the damper control strategy and avoiding safety hazards caused by insufficient air volume.

[0140] Step S202, monitoring people and vehicles in the lane where the vehicle is traveling by means of a camera to obtain lane occupancy information.

[0141] Specifically, high-definition cameras installed underground are used in combination with image processing algorithms and deep learning models to monitor the activities of people and vehicles in the lanes where vehicles are traveling in real time. The system can accurately identify the number and location of people and vehicles in the lanes and record relevant occupancy information. Using cameras to achieve real-time monitoring can quickly obtain the occupancy status of the lanes, avoid relying on traditional manual recording or inaccurate sensor data, and improve the accuracy and efficiency of data collection.

[0142] Step S203, determining the influence of people and vehicles in the lane where the vehicle travels on the second air volume based on the lane occupancy information, and obtaining a third air volume.

[0143] Specifically, according to the lane occupancy information, the resistance of personnel and vehicles to the air flow in the lane and the consumption of air supply are analyzed, and their impact on the second air volume is calculated to obtain the third air volume. The specific impact of personnel and vehicles on lane ventilation is scientifically quantified, providing more accurate data support for adjusting the actual air volume distribution, and effectively solving the problem of unbalanced air volume distribution caused by lane occupancy.

[0144] Step S204, determining the actual air volume of the underground air point based on the second air volume and the third air volume to obtain a fourth air volume.

[0145] Specifically, based on the comprehensive analysis of the second and third air volumes, the actual air volume (fourth air volume) of the underground air point is calculated to evaluate whether the current damper setting can meet the air demand and provide a basis for damper adjustment. Dynamic calculation of the actual air volume enables the system to adapt to the complex and changeable ventilation environment in the mine in real time, improving the rationality and efficiency of air volume distribution.

[0146] Step S205, when the fourth air volume is less than the first air volume, a first alarm message is issued, and the first alarm message is used to indicate that the number of vehicles and people in the vehicle driving lane at the current moment exceeds the standard.

[0147] Specifically, when the calculated actual air volume (the fourth air volume) is lower than the required air volume (the first air volume), the first alarm message is automatically triggered, indicating that the number of vehicles or personnel in the current tunnel exceeds the designed ventilation capacity. The alarm message can be displayed intuitively through sound, light or system interface, and can also be pushed to relevant managers or dispatch centers. The real-time alarm mechanism can quickly discover and warn of safety hazards of insufficient underground ventilation, making it easier for managers to take timely measures to adjust tunnel occupancy or ventilation strategies, and improve the safety management level of mines.

[0148] An embodiment of the present invention provides a damper control system, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a damper control method for executing the above-mentioned downhole camera.

[0149] Specifically, the damper control method of the underground camera includes: obtaining the required air volume of the underground air-using point to obtain the first air volume, and obtaining the air supply volume of the vehicle driving lane leading to the underground air-using point to obtain the second air volume. The personnel and vehicles in the vehicle driving lane are monitored by the camera to obtain the lane occupancy information. Based on the lane occupancy information, the influence of the personnel and vehicles in the vehicle driving lane on the second air volume is determined to obtain the third air volume. Based on the second air volume and the third air volume, the actual air supply volume of the underground air-using point is determined to obtain the fourth air volume. When the fourth air volume is less than the first air volume, a first alarm message is issued, and the first alarm message is used to indicate that the number of vehicles and personnel in the vehicle driving lane at the current moment exceeds the standard.

[0150] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0151] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0152] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0153] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0155] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0156] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0157] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0158] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0159] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A damper control method based on a downhole camera, characterized in that: include: Obtain the required air volume of the underground air-using point to obtain the first air volume, and obtain the air supply volume of the vehicle driving lane leading to the underground air-using point to obtain the second air volume; Monitor the personnel and vehicles in the lane where the vehicle is traveling by means of a camera to obtain lane occupancy information; Determine the influence of people and vehicles in the lane where the vehicle travels on the second air volume based on the lane occupancy information, and obtain a third air volume; Determine the actual air volume of the underground air point based on the second air volume and the third air volume to obtain a fourth air volume; When the fourth air volume is less than the first air volume, a first alarm message is issued, wherein the first alarm message is used to indicate that the number of vehicles and personnel in the vehicle driving lane at the current moment exceeds the limit.

2. The method according to claim 1, characterized in that The camera monitors the personnel and vehicles in the lane where the vehicle is traveling, and obtains lane occupancy information, including: Acquire a first target image in real time through a camera installed in the lane where the vehicle is traveling, wherein the first target image is an image containing a vehicle or a person; Based on the first target image, a target object is identified and located by a target detection algorithm to obtain a second target image, wherein the target object includes a person and a vehicle; Perform feature extraction based on the second target image to obtain target feature information, and perform processing based on the target feature information based on a classification model to obtain a target type, a first quantity, and a second quantity, wherein the target type is the type of each vehicle in the vehicle driving lane, the first quantity is the number of vehicles in the vehicle driving lane, and the second quantity is the number of people in the vehicle driving lane; The lane occupancy information is generated based on the target type, the first number, and the second number.

3. The method according to claim 2, characterized in that Determining the influence of people and vehicles in the lane where the vehicle travels on the second air volume based on the lane occupancy information to obtain a third air volume includes: According to the target type, a target mapping relationship is searched to obtain a fifth air volume, wherein the target mapping relationship is a mapping relationship between the target type and the corresponding vehicle occupied air volume; Acquire exhaust emission data of vehicles in the vehicle driving lane, determine a total air volume occupied by vehicles in the vehicle driving lane based on the exhaust emission data, the first quantity and the fifth air volume, and obtain a sixth air volume; Determine a corresponding seventh air volume based on the second quantity, the seventh air volume being the total air volume that is expected to be occupied by people in the lane where the vehicle is traveling; The third air volume is determined based on the sixth air volume and the seventh air volume.

4. The method according to claim 1, characterized in that: Determining the actual air volume of the underground air-using point based on the second air volume and the third air volume to obtain a fourth air volume includes: The difference between the second air volume and the third air volume is calculated to obtain the fourth air volume.

5. The method according to claim 3, characterized in that: After determining the actual air volume of the underground air-using point based on the second air volume and the third air volume to obtain a fourth air volume, the method further includes: When the fourth air volume is greater than the first air volume, a difference between the fourth air volume and the first air volume is calculated to obtain a remaining air volume; Acquire underground construction data, and determine vehicle information of vehicles that have not entered the vehicle driving lane based on the underground construction data, wherein the vehicle information includes the number and type of vehicles; generating a plurality of vehicle allocation plans based on the vehicle information and the target mapping relationship, wherein the vehicle allocation plans include the number and type of vehicles that can be added to the vehicle driving lane at the current moment; Vehicle dispatching is performed based on any one of the vehicle allocation schemes.

6. The method according to claim 1, characterized in that After issuing the first alarm information, the method further includes: Closing the first damper at the entrance of the vehicle lane to prevent vehicles from entering by mistake; When the first damper is in a closed state, a second alarm message is issued, wherein the second alarm message is used to instruct the vehicle in the vehicle driving lane to drive out of the vehicle driving lane; Calculate the difference between the fourth air volume and the first air volume to obtain an air volume gap; Based on the air volume gap, the underground ventilator is controlled to provide air supply.

7. The method according to claim 5, characterized in that Based on the air volume gap, the underground ventilator is controlled to provide air supply, including: When the air volume gap is less than or equal to a preset threshold, controlling the local ventilator corresponding to the vehicle driving lane to increase the operating power until the fourth air volume is greater than or equal to the first air volume; When the air volume gap is greater than the preset threshold, the total ventilation fans in the well are controlled to increase the operating power until the fourth air volume is greater than or equal to the first air volume.

8. A damper control device based on a downhole camera, characterized in that: The device comprises: A first acquisition unit is used to acquire the required air volume of the underground air-using point to obtain the first air volume, and acquire the air supply volume of the vehicle driving lane leading to the underground air-using point to obtain the second air volume; A second acquisition unit is used to monitor people and vehicles in the lane where the vehicle is traveling through a camera to obtain lane occupancy information; A first calculation unit is used to determine the influence of people and vehicles in the vehicle driving lane on the second air volume based on the lane occupancy information to obtain a third air volume; A second calculation unit is used to determine the actual air volume of the underground air use point based on the second air volume and the third air volume to obtain a fourth air volume; The first alarm unit is used to issue a first alarm message when the fourth air volume is less than the first air volume, and the first alarm message is used to indicate that the number of vehicles and people in the vehicle driving lane at a current moment exceeds the standard.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. A damper control system, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of claims 1 to 7.

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