Mine flood monitoring method and device using multi-channel image acquisition

Abstract

The present invention discloses a mine flood monitoring method and device for multi-channel image acquisition, including: setting position marks in multiple target monitoring areas in advance; using multiple cameras to collect video data of each target monitoring area; combining the collected multiple video data into one video stream according to the time axis, and sending it to a host computer; the host computer receives the video stream, and selects corresponding target images from multiple positions of the video stream based on the time axis; segmenting the target image according to the position mark; selecting at least one segmented image from different positions of each target image in sequence according to a set order, combining each segmented sub-image to obtain an image to be inspected; using the image to be inspected to compare with a preset standard image. The method of the present invention can achieve complete monitoring of multiple target monitoring areas, greatly reducing equipment cost and system complexity, and is particularly suitable for monitoring scenarios with a large number of monitoring areas in mines.

Description

Technical Field

[0001] The present invention relates to the technical field of mine flood early warning, and in particular to a mine flood monitoring method and device with multi-channel image acquisition. Background Art

[0002] After a mine flood accident occurs, it is easy to cause a series of safety accidents. Therefore, it is necessary to propose an effective monitoring method for mine floods.

[0003] In the existing technology, CN110067599A proposes an image-based mine flood perception and warning method, which requires multiple cameras and equipment such as fill lights. In addition, this technical solution requires calculations on a large number of pixels, has high requirements on the equipment, and is not suitable for actual production. Summary of the invention

[0004] The embodiment of the present invention provides a mine flood monitoring method and device with multi-channel image acquisition, which are used to reduce the investment in equipment and the complexity of data, and realize simultaneous monitoring of flood hazards in multiple production areas.

[0005] The present application embodiment provides a mine flood monitoring method using multi-channel image acquisition, including:

[0006] Pre-setting position marks in a plurality of target monitoring areas, wherein the position marks set in each target monitoring area are the same, and the position marks divide the target monitoring area into a plurality of sub-areas;

[0007] Use multiple cameras to collect video data of each target monitoring area;

[0008] Combine the collected multi-channel video data into one video stream according to the time axis and send it to the host computer;

[0009] The host computer receives the video stream and selects corresponding target images from multiple positions of the video stream based on the time axis;

[0010] Segmenting the target image according to the position mark to obtain a segmented sub-image of the sub-region;

[0011] Selecting at least one segmented image from different positions of each target image in sequence according to a set order, and combining each segmented sub-image to obtain an image to be inspected;

[0012] The image to be inspected is compared with a preset standard image to determine whether each area to be inspected has a flood hazard.

[0013] In some embodiments, for collecting multiple channels of video data, combining them into one video stream according to the time axis includes:

[0014] According to the same time interval, multiple channels of video data are trimmed and combined according to the time axis to obtain one video stream.

[0015] In some embodiments, the host computer receives the video stream, and selects corresponding target images from multiple positions of the video stream based on the time axis, including:

[0016] Selecting an image as a base image based on a specified position within each time interval;

[0017] The basic image is enhanced by using at least part of the video data within the time interval to obtain the target image.

[0018] In some embodiments, selecting at least one segmented image from each target image in sequence according to a set order, and combining each segmented sub-image to obtain the image to be inspected includes:

[0019] For this round of detection, at least one segmented image is selected at a first position of the target image, and at least one segmented image is selected at a second position in the target image adjacent to the time axis of the target image, wherein the second position is adjacent to the first position in order;

[0020] For the next round of detection, at least one segmented image is selected at the second position of the target image, and at least one segmented image is selected at a third position in the target image adjacent to the time axis of the target image, wherein the third position is adjacent in order to the second position.

[0021] In some embodiments, comparing the image to be inspected with a preset standard image to determine whether each area to be inspected has a flood hazard includes:

[0022] The deviation between the image to be inspected and the preset standard image is determined, and when the deviation is greater than a first threshold, a sub-region where the deviation exists is determined, and the sub-region is determined as a suspected flood area.

[0023] In some embodiments, after determining the sub-area as a suspected flood area, the mine flood monitoring method further includes:

[0024] increasing the time interval for trimming the video data corresponding to the sub-region; and / or,

[0025] The number of segmented images selected for the sub-region is increased, wherein the segmented images selected for the sub-region are increased to meet the requirement of being adjacent to the current segmented image.

[0026] In some embodiments, comparing the image to be inspected with a preset standard image to determine whether each area to be inspected has a flood risk further includes:

[0027] The segmented sub-images are combined again to obtain a suspected image, and the suspected image is used to determine the deviation between the image to be inspected and the preset standard image. When the deviation is greater than a second threshold, it is determined that there is a flood hazard in the sub-region.

[0028] In some embodiments, after selecting corresponding target images from multiple positions of the video stream based on the time axis, the mine flood monitoring method further includes:

[0029] Zoom the selected target image and adjust the selected target image to a preset brightness value.

[0030] In some embodiments, after determining that there is no flood risk, historical video data whose storage time exceeds a set threshold is deleted.

[0031] The embodiment of the present application also provides a mine flood monitoring device with multi-channel image acquisition, including a video acquisition device and a host computer, wherein the video acquisition device has a multi-channel camera and a first processing unit, and the host computer has a second processing unit;

[0032] Pre-setting position marks in a plurality of target monitoring areas, wherein the position marks set in each target monitoring area are the same, and the position marks divide the target monitoring area into a plurality of sub-areas;

[0033] Use multiple cameras to collect video data of each target monitoring area;

[0034] The first processing unit is configured to:

[0035] Combine the collected multi-channel video data into one video stream according to the time axis and send it to the host computer;

[0036] The host computer receives the video stream, and the second processing unit is configured as follows:

[0037] Selecting corresponding target images from multiple positions of the video stream based on the time axis;

[0038] Segmenting the target image according to the position mark to obtain a segmented sub-image of the sub-region;

[0039] Selecting at least one segmented image from different positions of each target image in sequence according to a set order, and combining each segmented sub-image to obtain an image to be inspected;

[0040] The image to be inspected is compared with a preset standard image to determine whether each area to be inspected has a flood hazard.

[0041] The embodiment of the present invention collects videos from multiple channels and integrates the multiple channels of videos into one video stream, thereby reducing the computing load of the host computer and eliminating the need to arrange cameras and fill lights in multiple locations. Multiple cameras are integrated, thereby greatly reducing equipment costs and system complexity and improving system monitoring efficiency.

[0042] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0044] Figure 1 This is a basic flow chart of this embodiment. DETAILED DESCRIPTION

[0045] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0046] The present application embodiment proposes a mine flood monitoring method using multi-channel image acquisition, such as Figure 1 As shown, including:

[0047] In step S101, position marks are set in advance in multiple target monitoring areas, wherein the position marks set in each target monitoring area are the same, and the position marks divide the target monitoring area into multiple sub-areas. Specifically in this example, multiple target monitoring areas may include areas such as tunnels, coal mining faces and excavation faces of a mine, and the specific positions may be set according to actual needs. In this example, position marks are further arranged in multiple target monitoring areas, and the specific position marks may be, for example, sprayed or posted with regular shapes, such as grids, circles, etc. If it is a grid mark, labels corresponding to the grid may be set in different areas of the grid. If it is a circular mark, the representation may be divided into multiple sector areas according to a preset angle, or labels may be set in the sector area. The sizes of each grid or sector area may be different, and the position marks set in each area are the same, so as to facilitate subsequent acquisition and image processing.

[0048] In step S102, multiple cameras are used to collect video data of each target monitoring area. For example, for multiple target monitoring areas in the same area, multiple cameras can be arranged in a centralized device. Alternatively, one camera can be installed in each of the multiple detection areas, and the multiple cameras can be introduced into a lower computer, and the video data collected by the multiple cameras can be preprocessed by the lower computer.

[0049] In step S103, the collected multi-channel video data are combined into one video stream according to the time axis and sent to the host computer. Specifically, in this example, the collected multi-channel video data can be combined into one video stream according to the time axis by the lower computer. For example, the video data collected from each channel can be cut according to the specified rules and combined according to the time axis to obtain one video stream. In this example, by designing the same position mark method, in the case of flooding, the pictures collected by multiple cameras are very similar, which greatly reduces the complexity of the video stream processing of the lower computer, improves the real-time performance of data processing, and the method of the present application allows the host computer to process only one video stream, and also reduces the computing load of the host computer.

[0050] In step S104, the host computer receives the video stream and selects corresponding target images from multiple positions of the video stream based on the time axis. Specifically, the selection can be performed according to the historical monitoring situation. For example, the key area can be marked according to the flow direction of groundwater in the geographical survey, and multiple images can be selected from the video segment of the key area, and then the multiple images of the key area are fused to obtain the target image. For other target monitoring areas, at least one image is selected as the target image. In this way, while monitoring multiple target monitoring areas at the same time, it is possible to focus on key areas, thereby improving the monitoring and early warning effect of floods.

[0051] In step S105, the target image is segmented according to the position mark to obtain the segmented sub-image of the sub-region. In this example, in order to simultaneously realize flood monitoring in multiple areas of the mine, for a target image, the target image is segmented according to the preset position mark or label in this example to obtain the segmented sub-image.

[0052] In step S106, at least one segmented image is selected from different positions of each target image in sequence according to a set order, and each segmented sub-image is combined to obtain an image to be inspected. In this example, a segmented image is selected from different positions and combined to form a complete image to be inspected.

[0053] In step S107, the image to be inspected is compared with the preset standard image to determine whether there is a flood hazard in each area to be inspected. In this example, only one image to be inspected needs to be compared with the preset standard image, where the preset standard image can be a combined image of each target monitoring area collected in the absence of a flood. In this way, the computing power requirements for multi-area monitoring can be greatly reduced. Through the selection method of the segmented image designed in this application, complete monitoring of multiple target monitoring areas can be achieved, greatly reducing equipment costs and system complexity, and is particularly suitable for monitoring scenarios with a large number of monitoring areas in mines.

[0054] The embodiment of the present invention collects videos from multiple channels and integrates the multiple channels of videos into one video stream, thereby reducing the computing load of the host computer. There is no need to arrange cameras and fill lights in multiple locations. Multiple cameras can be integrated, thereby greatly reducing equipment costs and system complexity, and reducing the image computing load of the host computer.

[0055] In some embodiments, for the collected multi-channel video data, combining them into a video stream according to the time axis includes: cutting the multi-channel video data according to the same time interval, and combining them according to the time axis to obtain a video stream. In this example, for monitoring in conventional scenarios, the video data collected by multiple cameras can be cut according to the same time interval, for example, the specific time interval can be set to 10s, 15s or 30s, or it can be a user-defined duration. It is also possible to add an indicator mark to each cropped video segment to indicate that the video segment comes from the corresponding target monitoring area. After cutting, the video segments of the multi-channel video data are combined in sequence to form a video stream. The combined video stream greatly reduces the bandwidth required for video transmission. For example, when 8 channels of video need to be transmitted, the bandwidth required is only 1 / 8 of the bandwidth required for simultaneously transmitting 8 channels of video. And in the scenario where there are multiple sub-areas in a large mine, the method of the present application can also be well applied.

[0056] In some embodiments, the host computer receives the video stream, and selects corresponding target images from multiple positions of the video stream based on the time axis, including:

[0057] First, an image is selected as a base image based on a specified position in each time interval. The specific specified position can be the start position, middle position or any other position of the video segment, and an image at the specified position is selected as the reference image.

[0058] Then, the base image is enhanced using at least part of the video data within the time interval to obtain the target image. The image enhancement referred to in this example can be fusion or superposition based on the reference image according to a specified rule, so that the obtained target image can contain more image details of the time dimension within the monitoring period, so that the potential risk of mine flooding can be more accurately determined in subsequent comparisons.

[0059] In some embodiments, after selecting the corresponding target image from multiple positions of the video stream based on the time axis, the mine flood monitoring method further includes: scaling the selected target image and adjusting the selected target image to a preset brightness value. Specifically, the selected target image can also be scaled and perspective cropped, and in this way, it can also be applied to various monitoring scenarios. Adjusting the selected target image to the preset brightness value can ensure that the brightness of the synthesized image to be inspected is basically consistent, and will not cause misjudgment due to inconsistent brightness conditions.

[0060] In some embodiments, selecting at least one segmented image from each target image in sequence according to a set order, and combining each segmented sub-image to obtain the image to be inspected includes:

[0061] For this round of detection, at least one segmented image is selected at a first position of the target image, and at least one segmented image is selected at a second position in the target image adjacent to the time axis of the target image, wherein the second position is adjacent in order to the first position.

[0062] For the next round of detection, at least one segmented image is selected at the second position of the target image, and at least one segmented image is selected at a third position in the target image adjacent to the time axis of the target image, wherein the third position is adjacent in order to the second position.

[0063] Based on the above-mentioned embodiments, the position mark in the present application has specific partitions. In this example, it is further introduced that the host computer receives the video stream and selects corresponding target images from multiple positions of the video stream based on the time axis. The mine flood monitoring in this example can be divided into multiple rounds. The specific number of rounds can be determined according to the number of video streams collected and the number of partitions of the position mark. For example, in the case of 8 videos and 8 partitions of the position mark, 8 rounds can be set. For the first round, the segmented image of the first position partition can be determined in the target image corresponding to the first video stream, and then a segmented image of the second position associated with the above-mentioned first position partition is selected in the corresponding target image of the second video. Then, in the corresponding target image of the third video, a segmented image of the third position associated with the above-mentioned second position partition is selected, and so on, to complete the selection and synthesis of the segmented images of each target image.

[0064] For the next round, the segmented image of the second position partition can be determined in the target image corresponding to the first video stream, and then the segmented image can be selected at the third position in the target image corresponding to the second video, and then the segmented image can be selected at the fourth position in the target image corresponding to the third video, and so on, to complete the selection and synthesis of the segmented images of each target image. Through such a design, the complete monitoring of each target monitoring area can be completed within a certain period of time, and the host computer only uses the synthesized image to be inspected to perform comparison with the preset standard image, which reduces the computational load of image processing.

[0065] In some embodiments, the image to be inspected is compared with a preset standard image to determine whether there is a flood hazard in each area to be inspected, including: judging the deviation between the image to be inspected and the preset standard image, and when the deviation is greater than a first threshold, determining the sub-area where the deviation is located, and determining the sub-area as a suspected flood area. Specifically, the deviation between the image to be inspected and the preset standard image referred to in this example can be determined by directly superimposing and comparing the image to be inspected with the preset standard image. In the absence of a flood, the deviation between the image to be inspected and the preset standard image should be within a preset range. In this example, noise may be introduced after the aforementioned image enhancement, so the first threshold can be appropriately set to effectively filter the noise. In the case where the deviation exceeds the first threshold, the sub-area where the deviation is located is determined, and the sub-area is determined as a suspected flood area. In this example, the suspected flood area is determined, and the suspected flood area can be further detected by subsequent methods to improve the accuracy of the detection.

[0066] In some embodiments, after determining the sub-area as a suspected flood area, the mine flood monitoring method further includes:

[0067] Increase the time interval for clipping the video data corresponding to the sub-region; and / or increase the number of segmented images selected for the sub-region, wherein the segmented images selected in the sub-region are added to meet the proximity of the current segmented image. For example, when the time interval is 10s, the time interval for clipping the video data collected in the target monitoring area can be increased to 15s or 20s, thereby increasing the attention paid to the target monitoring area. Independently or additionally, after obtaining the target image of the suspected flood area by image enhancement, the number of segmented images selected for the sub-region can be increased, for example, 3 adjacent segmented images are selected from the segmented image. In the case where the position marker is circular, other segmented images can be selected according to a certain interval angle based on the sector where the current segmented image is located. In this way, it can be ensured that the simultaneous tracking and monitoring of multiple regions is not lost, and the segmented images of the suspected flood area are focused on. It is also possible to monitor only the suspected flood areas when multiple suspected flood areas are identified at the same time, and the segmented images only contain the suspected flood areas.

[0068] In some embodiments, comparing the image to be inspected with a preset standard image to determine whether each area to be inspected has a flood hazard further includes: recombining each segmented sub-image to obtain a suspected image, comparing the suspected image with the deviation between the image to be inspected and the preset standard image, and when the deviation is greater than a second threshold, in this example, the second threshold is greater than the aforementioned first threshold, and it is determined that the sub-area has a flood hazard.

[0069] As another method for judging the hidden danger of flood, after increasing the time interval for trimming the video data corresponding to the sub-area, the host computer can output only the suspected video segment containing the suspected flood area after the time interval of increasing the trimming, and the multiple historical video segments in front of the target monitoring area in the historical data, and then merge the suspected video segment with the multiple historical video segments in front, and then detect the brightness change before and after in the synthesized video information. In the case where the brightness change before and after in the synthesized video information exceeds the preset brightness threshold change, it is judged that there is a hidden danger of flood. As a specific example, the above two judgment methods can also be combined, for example, in the case where the deviation is greater than the second threshold, and in the case where the brightness change before and after in the synthesized video information exceeds the preset brightness threshold change, it is judged that there is a hidden danger of flood, thereby further improving the accuracy of monitoring.

[0070] In some embodiments, after determining that there is no flood risk, delete the historical video data whose storage time exceeds the set threshold. The specific storage time can be set according to actual needs. In the normal monitoring process, when the generated storage data exceeds the preset storage upper limit, the historical video data exceeding the set threshold can be deleted, thereby effectively freeing up storage space. The method of transmitting only one video stream in this application also effectively extends the upper limit of the historical data stored locally. When the flood risk occurs again, it is convenient for subsequent monitoring personnel to retrieve longer historical data for analysis.

[0071] In summary, the present invention proposes a mine flood monitoring method with multi-channel image acquisition, which can greatly reduce the complexity of the entire monitoring system and reduce the image processing load of the system. The method of the present invention can effectively cover all target monitoring areas. Compared with the existing monitoring methods, it greatly reduces the investment in equipment costs and is particularly suitable for a large number of mine scenarios with regional monitoring.

[0072] An embodiment of the present application also proposes a mine flood monitoring device with multi-channel image acquisition, including a video acquisition device and a host computer, wherein the video acquisition device has multi-channel cameras and a first processing unit, and the host computer has a second processing unit, wherein the video acquisition device and the first processing unit can constitute a lower computer.

[0073] Pre-setting position marks in a plurality of target monitoring areas, wherein the position marks set in each target monitoring area are the same, and the position marks divide the target monitoring area into a plurality of sub-areas;

[0074] Use multiple cameras to collect video data of each target monitoring area;

[0075] The first processing unit is configured to:

[0076] Combine the collected multi-channel video data into one video stream according to the time axis and send it to the host computer;

[0077] The host computer receives the video stream, and the second processing unit is configured as follows:

[0078] Selecting corresponding target images from multiple positions of the video stream based on the time axis;

[0079] Segmenting the target image according to the position mark to obtain a segmented sub-image of the sub-region;

[0080] Selecting at least one segmented image from different positions of each target image in sequence according to a set order, and combining each segmented sub-image to obtain an image to be inspected;

[0081] The image to be inspected is compared with a preset standard image to determine whether each area to be inspected has a flood hazard.

[0082] The embodiment of the present application further proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the mine flood monitoring method with multi-channel image acquisition described in each embodiment of the present disclosure are implemented.

[0083] In addition, although exemplary embodiments have been described herein, the scope includes any and all embodiments based on the present disclosure with equivalent elements, modifications, omissions, combinations (e.g., various embodiments intersecting schemes), adaptations or changes. The elements in the claims are to be interpreted broadly based on the language adopted in the claims, and are not limited to the examples described in this specification or during the prosecution of this application, which examples are to be interpreted as non-exclusive. Therefore, this specification and examples are intended to be considered as examples only, and the true scope and spirit are indicated by the following claims and the full scope of their equivalents.

[0084] The above description is intended to be illustrative rather than restrictive. For example, the above examples (or one or more schemes thereof) may be used in combination with each other. For example, a person of ordinary skill in the art may use other embodiments when reading the above description. In addition, in the above-mentioned specific embodiments, various features may be grouped together to simplify the present disclosure. This should not be interpreted as an intention that a disclosed feature that is not claimed for protection is necessary for any claim. On the contrary, the subject matter of the present disclosure may be less than all the features of a particular disclosed embodiment. Thus, the following claims are incorporated herein as examples or embodiments in the specific embodiments, wherein each claim is independently a separate embodiment, and it is considered that these embodiments may be combined with each other in various combinations or arrangements. The scope of the present invention should be determined with reference to the appended claims and the full scope of equivalent forms granted by these claims.

[0085] The above embodiments are only exemplary embodiments of the present disclosure and are not intended to limit the present invention. The protection scope of the present invention is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present invention within the essence and protection scope of the present disclosure, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present invention.

Claims

1. A mine flood monitoring method using multi-channel image acquisition, characterized in that: include: Pre-setting position marks in a plurality of target monitoring areas, wherein the position marks set in each target monitoring area are the same, and the position marks divide the target monitoring area into a plurality of sub-areas; Use multiple cameras to collect video data of each target monitoring area; Combine the collected multi-channel video data into one video stream according to the time axis and send it to the host computer; The host computer receives the video stream and selects corresponding target images from multiple positions of the video stream based on the time axis; Segmenting the target image according to the position mark to obtain a segmented sub-image of the sub-region; Selecting at least one segmented image from different positions of each target image in sequence according to a set order, and combining each segmented sub-image to obtain an image to be inspected; Comparing the image to be inspected with a preset standard image to determine whether there is a flood hazard in each area to be inspected; Selecting at least one segmented image from each target image in a set order, and combining each segmented sub-image to obtain an image to be inspected includes: For this round of detection, at least one segmented image is selected at a first position of the target image, and at least one segmented image is selected at a second position in the target image adjacent to the time axis of the target image, wherein the second position is adjacent to the first position in order; For the next round of detection, at least one segmented image is selected at a second position of the target image, and at least one segmented image is selected at a third position in the target image adjacent to the time axis of the target image, wherein the third position is adjacent to the second position in order; Comparing the image to be inspected with the preset standard image to determine whether each area to be inspected has a flood hazard includes: determining a deviation between the image to be inspected and the preset standard image, and if the deviation is greater than a first threshold, determining a sub-area where the deviation exists, and determining the sub-area as a suspected flood area; After determining the sub-region as a suspected flood area, the mine flood monitoring method further includes: increasing the time interval for clipping the video data corresponding to the sub-region; and / or, Increasing the number of segmented images selected for the sub-region, wherein the segmented images selected for the sub-region are added to satisfy the requirement of being adjacent to the current segmented image; Comparing the image to be inspected with the preset standard image to determine whether each area to be inspected has a flood hazard further includes: combining each segmented sub-image again to obtain a suspected image, comparing the suspected image with a deviation between the image to be inspected and the preset standard image, and determining that the sub-area has a flood hazard when the deviation is greater than a second threshold; The collected multi-channel video data is combined into one video stream according to the time axis, including: At the same time interval, multiple channels of video data are cropped and combined along the timeline to obtain one video stream. Specifically, an indicator mark is added to each cropped video segment to indicate that the video segment comes from the corresponding target monitoring area. After cropping, the video segments of multiple channels of video data are combined in sequence to form one video stream.

2. The mine flood monitoring method based on multi-channel image acquisition according to claim 1, characterized in that: The host computer receives the video stream and selects corresponding target images from multiple positions of the video stream based on the time axis, including: selecting an image as a basic image based on a specified position within each time interval; and performing image enhancement on the basic image using at least part of the video data within the time interval to obtain the target image.

3. The mine flood monitoring method based on multi-channel image acquisition according to claim 2, characterized in that: After selecting corresponding target images from multiple positions of the video stream based on the time axis, the mine flood monitoring method further includes: scaling the selected target image and adjusting the selected target image to a preset brightness value.

4. The mine flood monitoring method of multi-channel image acquisition according to claim 1 is characterized in that: After determining that there is no flood risk, delete the historical video data whose storage time exceeds the set threshold.

5. A device for implementing the mine flood monitoring method of multi-channel image acquisition according to any one of claims 1 to 4, characterized in that: It includes a video acquisition device and a host computer, wherein the video acquisition device has multiple cameras and a first processing unit, and the host computer has a second processing unit; Pre-setting position marks in a plurality of target monitoring areas, wherein the position marks set in each target monitoring area are the same, and the position marks divide the target monitoring area into a plurality of sub-areas; Use multiple cameras to collect video data of each target monitoring area; The first processing unit is configured to: Combine the collected multi-channel video data into one video stream according to the time axis and send it to the host computer; The host computer receives the video stream, and the second processing unit is configured as follows: Selecting corresponding target images from multiple positions of the video stream based on the time axis; Segmenting the target image according to the position mark to obtain a segmented sub-image of the sub-region; Selecting at least one segmented image from different positions of each target image in sequence according to a set order, and combining each segmented sub-image to obtain an image to be inspected; The image to be inspected is compared with a preset standard image to determine whether each area to be inspected has a flood hazard.

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