Muddy water level height monitoring system and method and medium

Abstract

The invention provides a muddy water level height monitoring system and method and a medium, and relates to the field of debris flow monitoring, an electronic water gauge of the system is used for collecting first height data of a muddy water level of a to-be-detected area and sending the first height data to a data processor; the image acquisition device is used for acquiring target image data and sending the target image data to the image processor; the image processor is used for performing feature extraction on the target image data to obtain second height data and sending the second height data to the data processor; the data processor is used for fusing the first height data and the second height data according to the water gauge weight and the image weight to obtain target height data of the muddy water level; according to the monitoring system provided by the invention, the electronic water gauge and the image acquisition device are adopted for dual monitoring, false alarm is avoided, feature recognition and classification are carried out on the acquired image through the image processor in the later period, and target height data can be accurately obtained.

Description

Technical Field

[0001] The present application relates to the field of debris flow monitoring, and more specifically, to a monitoring system, method and medium for mud water level height. Background Art

[0002] In the monitoring technology of debris flow geological disasters, monitoring the change of mud water level to determine whether the debris flow occurs and the scale of occurrence is an important and effective means. In the past, the monitoring of mud water level mainly included contact and non-contact methods. The contact method is to directly sense the movement and arrival of the debris flow through the sensor device installed in the debris flow channel. The contact method specifically includes the break line method and the impact force measurement method. The break line method is to set a metal sensing line in the debris flow channel. Once the debris flow moving body breaks the metal sensing line, the metal sensing line generates a break line signal pulse, which is sent to the early warning center through the on-site sensing terminal to realize the alarm; the impact force measurement method is to lay an impact force sensor in the debris flow channel. Once the debris flow flows, the impact force signal generated by the debris flow movement is immediately captured by the equipment and sent back to the early warning center to realize the alarm. The contact method can only know that the mud water level exceeds a certain value, and cannot accurately measure the actual mud water level value, which is not conducive to the dynamic monitoring of the mud water level. The non-contact method is mainly ultrasonic measurement, which is to install ultrasonic sensors above the debris flow channel to monitor the changes in the mud and water level in the debris flow channel. Although the ultrasonic measurement method can dynamically monitor the changes in the mud and water level to a certain extent, this method has high requirements for the working conditions of the debris flow channel, requiring that the area directly below the sensor is flat. Once it is not flat, the ultrasonic echo energy will be reduced, resulting in a large deviation in the mud and water level monitoring value. In addition, ultrasonic waves are greatly affected by rain and fog, which is not conducive to the measurement of mud and water levels, and its application in debris flow monitoring projects is limited.

[0003] In summary, the above monitoring methods cannot obtain mud water level monitoring values ​​with high accuracy. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a system, method and medium for monitoring the mud water level height, so as to solve the above-mentioned problems existing in the prior art and obtain mud water level monitoring values ​​(mud water level height data) with high accuracy.

[0005] In a first aspect, a monitoring system for mud water level height is provided, which may include: an image acquisition device, an electronic water gauge, an image processor and a data processor; The electronic water gauge is used to collect first height data of the mud water level in the area to be detected, and send the first height data to the data processor; The image acquisition device is used for acquiring target image data including an image corresponding to the electronic water level gauge within a preset time interval when the electronic water level gauge acquires the first height data, and sending the target image data to the image processor; The image processor is used to extract features from the target image data to obtain second height data of the mud water level in the area to be detected, and send the second height data to the data processor; The data processor is used to fuse the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected; the water gauge weight and the image weight are determined based on the difference between the first height data and the second height data.

[0006] In a possible implementation, the data processor is further configured to fuse the first height data and the second height data according to the water gauge weight and the image weight to obtain target height data of the mud water level in the area to be detected if the difference between the first height data and the second height data is less than a first preset difference; If the difference between the first height data and the second height data is not less than the first preset difference and less than the second preset difference, the first height data and the second height data are fused according to a new water gauge weight and a new image weight to obtain target height data of the mud water level; wherein the new water gauge weight and the new image weight are obtained by adjusting the water gauge weight and the image weight using an adjustment coefficient; If the difference between the first height data and the second height data is not less than the second preset difference, the future first height data and the future second height data are used as the new first height and the new second height data respectively, and the execution step is returned: if the difference between the first height data and the second height data is less than the first preset difference, the first height data and the second height data are fused according to the water gauge weight and the image weight to obtain the target height data of the mud water level in the area to be detected; wherein the future first height data and the future second height data are the height data corresponding to the next moment after the collection moment of the first height data and the second height data.

[0007] In a possible implementation, the electronic water gauge and the image acquisition device are fixed at corresponding positions of the area to be detected by the same fixing pile.

[0008] In a possible implementation, the electronic water gauge and the image acquisition device are respectively fixed at corresponding positions of the area to be detected through different fixing piles.

[0009] In a possible implementation, the image processor is used to use a YOLOv8 model to perform feature extraction on the image data to obtain sub-image data including the image corresponding to the electronic water level gauge; and determine the second height data based on the sub-image data.

[0010] In a possible implementation, the image acquisition device is further used to acquire image data including an image corresponding to the electronic water level gauge at multiple angles according to a preset angle interval and a preset time interval when the electronic water level gauge acquires the first height data.

[0011] In a possible implementation, the image processor is further used to fuse the image data corresponding to each angle, including the image corresponding to the electronic water level gauge, to obtain the target image data corresponding to the preset time interval.

[0012] In a second aspect, a method for monitoring mud water level height is provided, the method is applied to a monitoring system including an image acquisition device, an electronic water level gauge, an image processor and a data processor, the method comprising: The electronic water gauge collects first height data of the mud water level in the area to be detected, and sends the first height data to the data processor; When the electronic water level gauge acquires the first height data, the image acquisition device acquires target image data including an image corresponding to the electronic water level gauge within a preset time interval, and sends the target image data to the image processor; The image processor extracts features from the target image data to obtain second height data of the mud and water level in the area to be detected, and sends the second height data to the data processor; The data processor fuses the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected; the water gauge weight and the image weight are determined based on the difference between the first height data and the second height data.

[0013] According to a third aspect, a computer-readable storage medium is provided, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method described in the second aspect is implemented.

[0014] The present application provides a monitoring system for mud water level, which includes: an image acquisition device, an electronic water gauge, an image processor and a data processor; the electronic water gauge is used to acquire first height data of the mud water level in the area to be detected, and send the first height data to the data processor; the image acquisition device is used to acquire target image data including the image corresponding to the electronic water gauge within a preset time interval when the electronic water gauge acquires the first height data, and send the target image data to the image processor; the image processor is used to extract features from the target image data to obtain second height data of the mud water level in the area to be detected, and send the second height data to the data processor; the data processor is used to fuse the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected; the water gauge weight and the image weight are determined based on the difference between the first height data and the second height data. Traditional mud water level meters can monitor changes in mud water levels, but have a high false alarm rate. Since radar waves are used for monitoring, it is easy to be interfered by external factors. For example, if there are weeds, animals, human activities, etc. under the sensor, the monitoring value will change. To judge the authenticity of the data, it is inconvenient to check it on site. The monitoring system provided by the present application uses an electronic water gauge and an image acquisition device for dual monitoring, which avoids false alarms and makes the monitoring data highly accurate. Later, the collected images are subjected to feature recognition and classification through an image processor, which can accurately obtain the target height data of the mud and water level in the area to be detected while identifying the material composition and morphology of the debris flow. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A schematic diagram of the structure of a mud water level monitoring system provided in an embodiment of the present application; Figure 2 A schematic flow chart of a method for monitoring mud water level height provided in an embodiment of the present application. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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 of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] For ease of understanding, the terms involved in the embodiments of the present application are explained below: The YOLOv8 model is a SOTA model that builds on the success of previous YOLO versions and introduces new features and improvements to further improve performance and flexibility. Specific innovations include a new backbone network, a new Ancher-Free detection head, and a new loss function that can run on a variety of hardware platforms from CPU to GPU.

[0019] The model only needs to browse once to identify the category and location of the object in the image. YOLO's prediction is based on the entire image, and it will output all detected target information at once, including category and location. The commonly used algorithm before YOLO is to first slide windows of different sizes on the image to identify objects one by one; by designing windows of different sizes, let these windows slide according to the minimum step size, and put all the pictures in the window into the classifier for identification one by one. R-CNN scans the image and obtains about 2,000 Regions (windows) to replace the hundreds of thousands of windows that may be obtained in the sliding window method (Region Proposal), and proposes the Selective Search algorithm.

[0020] In the monitoring technology of debris flow geological disasters, monitoring the change of mud water level to determine whether the debris flow occurs and the scale of occurrence is an important and effective means. In the past, the monitoring of mud water level mainly included contact and non-contact methods. The contact method is to directly sense the movement and arrival of the debris flow through the sensor device installed in the debris flow channel. The contact method specifically includes the break line method and the impact force measurement method. The break line method is to set a metal sensing line in the debris flow channel. Once the debris flow moving body breaks the metal sensing line, the metal sensing line generates a break line signal pulse, which is sent to the early warning center through the on-site sensing terminal to realize the alarm; the impact force measurement method is to lay an impact force sensor in the debris flow channel. Once the debris flow flows, the impact force signal generated by the debris flow movement is immediately captured by the equipment and sent back to the early warning center to realize the alarm. The contact method can only know that the mud water level exceeds a certain value, and cannot accurately measure the actual mud water level value, which is not conducive to the dynamic monitoring of the mud water level. The non-contact method is mainly ultrasonic measurement, which is to install ultrasonic sensors above the debris flow channel to monitor the changes in the mud and water level in the debris flow channel. Although the ultrasonic measurement method can dynamically monitor the changes in the mud and water level to a certain extent, this method has high requirements for the working conditions of the debris flow channel, requiring that the area directly below the sensor is flat. Once it is not flat, the ultrasonic echo energy will be reduced, resulting in a large deviation in the mud and water level monitoring value. In addition, ultrasonic waves are greatly affected by rain and fog, which is not conducive to the measurement of mud and water levels, and its application in debris flow monitoring projects is limited.

[0021] In summary, the above monitoring method cannot obtain a high-accuracy mud water level monitoring value. Therefore, this application proposes a mud water level height monitoring system to solve the above problems existing in the prior art and obtain a high-accuracy mud water level monitoring value (mud water level height data).

[0022] The preferred embodiments of the present application are described below in conjunction with the drawings in the specification. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application. In addition, the embodiments and features in the embodiments of the present application may be combined with each other if there is no conflict.

[0023] Figure 1 The following is a schematic diagram of the structure of a monitoring system for mud water level provided in an embodiment of the present application. Figure 1 As shown, the system may include: an image acquisition device, an electronic water level gauge, an image processor, a data processor and an acquisition processor.

[0024] Among them, the image acquisition device is wirelessly connected to the image processor; the electronic water level gauge and the image processor are wirelessly connected to the data processor respectively; the image acquisition device and the electronic water level gauge are wirelessly connected to the acquisition processor respectively.

[0025] The acquisition processor can be used to control the acquisition frequency, acquisition time and other related information when the image acquisition device and the electronic water level gauge acquire corresponding data.

[0026] The electronic water level gauge can be used to collect first height data of the mud water level in the area to be detected, and send the first height data to the data processor.

[0027] The image acquisition device can be used to acquire target image data including an image corresponding to the electronic water gauge within a preset time interval when the electronic water gauge acquires the first height data, and send the target image data to the image processor. Specifically, when the acquisition processor senses that the electronic water gauge acquires the first height data of the mud water level in the area to be detected, it controls the image acquisition device to acquire the target image data.

[0028] In some embodiments, the image acquisition device can also be used to acquire image data including an image corresponding to the electronic water level gauge at multiple angles according to a preset angle interval and a preset time interval when the electronic water level gauge acquires the first height data.

[0029] In some embodiments, the electronic water gauge and the image acquisition device are fixed to corresponding positions of the area to be detected by the same fixed pile. The fixing method is specifically as follows: one end of the fixed pile is fixed in the debris flow channel of the area to be detected, and the electronic water gauge of a certain height is fixed from bottom to top at the contact position between the fixed pile and the upper surface of the debris flow channel; a fixed cross bar is vertically arranged at the end of the fixed pile away from the debris flow channel, and the image acquisition device is fixed to the end of the fixed cross bar away from the fixed pile. Among them, the length setting of the fixed cross bar needs to ensure that the image acquisition device can capture images of the electronic water gauge from multiple angles, clearly and completely. Therefore, this application does not limit the specific length of the fixed cross bar.

[0030] In some embodiments, the electronic water gauge and the image acquisition device are respectively fixed at corresponding positions of the area to be detected by different fixing piles. The fixing method is specifically as follows: one end of the first fixing pile is fixed in the debris flow channel of the area to be detected, and the electronic water gauge of a certain height is fixed from bottom to top at the contact position between the fixing pile and the upper surface of the debris flow channel; one end of the second fixing pile is fixed in the debris flow channel at a certain distance from the first fixing pile; the image acquisition device is fixed at one end of the second fixing pile away from the debris flow channel. Among them, the distance between the first fixing pile and the second fixing pile needs to ensure that the image acquisition device can capture images of the electronic water gauge from multiple angles, clearly and completely. Therefore, this application does not limit the distance between the first fixing pile and the second fixing pile.

[0031] The image processor is used to extract features from the target image data, obtain second height data of the mud water level in the area to be detected, and send the second height data to the data processor.

[0032] In some embodiments, the image processor is further used to fuse image data corresponding to each angle, including the image corresponding to the electronic water level gauge, to obtain target image data corresponding to a preset time interval.

[0033] The specific process may include: the image processor can collect video data at multiple angles, process the video data frame by frame, and obtain the image data corresponding to each frame; then, fuse the image data of each frame, and the image data fusion process of two adjacent frames can be fused through multiple reference points in the image data; in this embodiment, only one reference point is proposed for example: for example: according to the position of point P at the contact position between the fixed pile and the upper surface of the debris flow channel in the world coordinate system, the position of point P in the electronic water gauge coordinate system, the position of point P in the image acquisition device coordinate system, and the conversion relationship between the electronic water gauge coordinate system and the image acquisition device coordinate system and the world coordinate system, the fusion is performed. This method is to fuse the same image features in the image data of two frames according to multiple reference points to improve the clarity of the image data. Other background features in the image data except the electronic water gauge and the muddy water area can be discarded and not processed. Therefore, clear target image data of the electronic water gauge and the muddy water area can be obtained.

[0034] In some embodiments, the image processor can be specifically used to use the YOLOv8 model to extract features from the image data to obtain sub-image data including the image corresponding to the electronic water level gauge; based on the sub-image data, determine the second height data.

[0035] In some embodiments, the image data may be subjected to feature extraction through a preset image processing model to obtain sub-image data including an image corresponding to the electronic water level gauge; and the second height data may be determined based on the sub-image data.

[0036] Among them, the preset image processing model includes a segmentation module, a grid generation module and an image fusion module.

[0037] Step A: The segmentation module is used to segment the image data into a×a grids; the size of each grid is equal.

[0038] Step B: The grid generation module is used to generate a bounding box based on the grid. Specifically, each of the a×a grids predicts B bounding boxes, which have five quantities (the center position (x, y), height (h), width (w) of the object, and the confidence of the prediction).

[0039] Each grid not only predicts B bounding boxes, but also predicts the category of the object in the box. The category here is represented by one-hot coding (i.e., each category corresponds to one or more registers, and 0 / 1 indicates whether the target belongs to this category, and each target can only have one category). That is, the initial sub-image data of the image corresponding to the electronic water level gauge is determined by the category to which the object belongs.

[0040] Step C, image fusion module, firstly, is used to process the acquired initial sub-image data; the specific processing process may include: acquiring the scale scale area in the scale area, the scale scale area includes two boundaries, that is, the boundaries of the rectangle corresponding to the scale area; one boundary is a boundary perpendicular to the scale line; the other area is a boundary parallel to the scale line; the two boundaries determined by the scale lines in the scale scale area are compared with the boundaries of the scale area determined in the initial sub-image data, if the pixel points of the two are within the preset difference range, it indicates that the scale area is extracted accurately. If the pixel points of the two are not within the preset difference range, the initial sub-image data is re-extracted through steps A and B. This method can determine the accuracy of the scale area boundary twice through the scale lines in the scale scale area. Secondly, multiple muddy water areas in the scale area are detected. If the width of the muddy water area is less than the width of the scale, it indicates that the muddy water in the muddy water area is interfering muddy water (mud spots) attached to the scale, and the corresponding muddy water area in the initial sub-image data is removed. If the width of the muddy water area is not less than the width of the scale, and the lower edge position of the muddy water area coincides with the lower edge position of the scale, it indicates that the muddy water in the muddy water area is non-interfering muddy water, that is, muddy water whose height data needs to be read. Finally, the distance between any two adjacent scales of the electronic water gauge image in the initial sub-image data is extracted and compared with the standard distance to determine the target ratio of the initial sub-image data and the standard electronic water gauge image data; the standard electronic water gauge image data is scaled according to the target ratio to determine the target electronic water gauge image data; the target electronic water gauge image data replaces the electronic water gauge image in the initial sub-image data to obtain the sub-image data. Among them, the standard distance is the distance between any two adjacent scales in the standard electronic water gauge image data. In this way, the sub-image data removes interfering muddy water and replaces a clear and complete electronic water gauge image, which can accurately obtain the height data of non-interfering muddy water to obtain the second height data.

[0041] In actual applications, the electronic water gauge may have multiple jumps when collecting the first height data. The reason may be that after rainfall, there may be mud and sand left between the adjacent monitoring contacts of the electronic water gauge scale. When the temperature drops at night, water droplets will condense and cause the two contacts to conduct, resulting in erroneous monitoring values. During the day, the water evaporates and the data returns to normal. This application removes the interfering mud and water, thereby discarding the data corresponding to multiple jumps, thereby avoiding the above situation.

[0042] The data processor can be used to fuse the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected.

[0043] Specifically, they may include: If the difference between the first height data and the second height data is less than the first preset difference, the first height data and the second height data are fused according to the configured water gauge weight and image weight to obtain the target height data of the mud and water level in the area to be detected. For example, the water gauge weight is set to 0.8, the image weight is set to 0.2, and the first preset difference is 0.5cm; when the first height data is 10cm and the second height data is 10.4cm, the calculated target height data is 10.08cm. Since the image acquisition device is triggered to acquire the second height data after the electronic water gauge acquires the first height data, there will be a certain time difference between the two acquired data. Therefore, the acquired data will be different due to the change of mud and water level caused by the debris flow over time.

[0044] If the difference between the first height data and the second height data is not less than the first preset difference and less than the second preset difference, the first height data and the second height data are fused according to the new water gauge weight and the new image weight to obtain the target height data of the mud water level. Among them, the water gauge weight can be set to 0.8 and the image weight can be set to 0.2; the first preset difference can be set to 0.5cm and the second preset difference can be set to 2cm. The adjustment coefficient can be determined according to the ratio of the first preset difference to the second preset difference as: 1+0.5 / 2=1.25.

[0045] The new water gauge weight and the new image weight are obtained by adjusting the water gauge weight and the image weight using the adjustment coefficient. Specifically, the new water gauge weight = water gauge weight × adjustment coefficient; the new image weight = 1-new water gauge weight.

[0046] If the difference between the first height data and the second height data is not less than the second preset difference, it indicates that the first height data and the second height data differ greatly, and the data can be discarded without processing; after a certain time interval from the current acquisition moment (the next moment), the electronic water gauge collects the future first height data and the image acquisition device collects the future second height data, and uses the future first height data and the future second height data as the new first height and the new second height data respectively, and returns to the execution step: if the difference between the first height data and the second height data is less than the first preset difference, the first height data and the second height data are fused according to the water gauge weight and the image weight to obtain the target height data of the mud water level in the area to be detected. Since the debris flow does not disappear in an instant, the first height data and the second height data can be obtained again after a certain time interval to determine the final target height data.

[0047] In some embodiments, after obtaining the target height data, the data processor compares it with multiple pre-configured warning values ​​(each warning value corresponds to a debris flow level). When the target height data reaches a certain warning value, an alarm including the target height data, the debris flow level and the corresponding geographic location is issued to remind relevant personnel of the debris flow level occurring at the geographic location.

[0048] The present application provides a monitoring system for mud water level, which includes: an image acquisition device, an electronic water gauge, an image processor and a data processor; the electronic water gauge is used to acquire first height data of the mud water level in the area to be detected, and send the first height data to the data processor; the image acquisition device is used to acquire target image data including the image corresponding to the electronic water gauge within a preset time interval when the electronic water gauge acquires the first height data, and send the target image data to the image processor; the image processor is used to extract features from the target image data to obtain second height data of the mud water level in the area to be detected, and send the second height data to the data processor; the data processor is used to fuse the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected; the water gauge weight and the image weight are determined based on the difference between the first height data and the second height data. Traditional mud water level meters can monitor changes in mud water levels, but have a high false alarm rate. Since radar waves are used for monitoring, it is easy to be interfered by external factors. For example, if there are weeds, animals, human activities, etc. under the sensor, the monitoring value will change. To judge the authenticity of the data, it is inconvenient to check it on site. The monitoring system provided by the present application uses an electronic water gauge and an image acquisition device for dual monitoring, which avoids false alarms and makes the monitoring data highly accurate. Later, the collected images are subjected to feature recognition and classification through an image processor, which can accurately obtain the target height data of the mud and water level in the area to be detected while identifying the material composition and morphology of the debris flow.

[0049] Figure 2 The following is a flow chart of a method for monitoring mud water level provided in an embodiment of the present application. Figure 2 As shown, the method is applied to a monitoring system including an image acquisition device, an electronic water level gauge, an image processor and a data processor, and the method may include: Step S210: The electronic water level gauge collects first height data of the mud water level in the area to be detected, and sends the first height data to a data processor.

[0050] Step S220: When the electronic water level gauge collects the first height data, the image acquisition device collects target image data including the image corresponding to the electronic water level gauge within a preset time interval, and sends the target image data to the image processor.

[0051] Step S230: The image processor extracts features from the target image data to obtain second height data of the mud water level in the area to be detected, and sends the second height data to the data processor.

[0052] Step S240: The data processor fuses the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain target height data of the mud water level in the area to be detected; The water level weight and the image weight are determined based on the difference between the first height data and the second height data.

[0053] In another embodiment provided in the present application, a computer-readable storage medium is also provided, in which instructions are stored. When the computer-readable storage medium is run on a computer, the computer executes a method for monitoring mud water level height described in any of the above embodiments.

[0054] In another embodiment provided in the present application, a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute a method for monitoring mud water level height described in any one of the above embodiments.

[0055] Those skilled in the art will appreciate that the embodiments in the present application can be provided as methods, systems, or computer program products. Therefore, the embodiments in the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments in the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0056] The embodiments of the present application are 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 produce 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 process. 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.

[0057] 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.

[0058] 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.

[0059] Unless otherwise defined, the technical terms or scientific terms used in this application should be understood by people with ordinary skills in the field to which the present invention belongs. "First", "second" and similar words used in this application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect", "couple" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0060] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic creative concepts. Therefore, the present application embodiments are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application embodiments.

[0061] Obviously, those skilled in the art can make various changes and modifications to the embodiments in the present application without departing from the spirit and scope of the embodiments in the present application. Thus, if these modifications and variations of the embodiments in the present application are within the scope of the embodiments in the present application and their equivalents, the embodiments in the present application are also intended to include these modifications and variations.

Claims

1. A mud water level monitoring system, characterized in that: The system comprises: an image acquisition device, an electronic water gauge, an image processor and a data processor; The electronic water gauge is used to collect first height data of the mud water level in the area to be detected, and send the first height data to the data processor; The image acquisition device is used for acquiring target image data including an image corresponding to the electronic water level gauge within a preset time interval when the electronic water level gauge acquires the first height data, and sending the target image data to the image processor; The image processor is used to extract features from the target image data to obtain second height data of the mud water level in the area to be detected, and send the second height data to the data processor; The data processor is used to fuse the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected; the water gauge weight and the image weight are determined based on the difference between the first height data and the second height data.

2. The system according to claim 1, characterized in that The data processor is further configured to fuse the first height data and the second height data according to the water gauge weight and the image weight to obtain target height data of the mud water level in the area to be detected if the difference between the first height data and the second height data is less than a first preset difference; If the difference between the first height data and the second height data is not less than the first preset difference and less than the second preset difference, the first height data and the second height data are fused according to a new water gauge weight and a new image weight to obtain target height data of the mud water level; wherein the new water gauge weight and the new image weight are obtained by adjusting the water gauge weight and the image weight using an adjustment coefficient; If the difference between the first height data and the second height data is not less than the second preset difference, the future first height data and the future second height data are used as the new first height and the new second height data respectively, and the execution step is returned: if the difference between the first height data and the second height data is less than the first preset difference, the first height data and the second height data are fused according to the water gauge weight and the image weight to obtain the target height data of the mud water level in the area to be detected; wherein the future first height data and the future second height data are the height data corresponding to the next moment after the collection moment of the first height data and the second height data.

3. The system according to claim 1, characterized in that The electronic water gauge and the image acquisition device are fixed at corresponding positions of the area to be detected through the same fixing pile.

4. The system according to claim 1, characterized in that The electronic water gauge and the image acquisition device are respectively fixed at corresponding positions of the area to be detected through different fixing piles.

5. The system according to claim 1, wherein: The image processor is used to use the YOLOv8 model to extract features from the image data to obtain sub-image data including the image corresponding to the electronic water level gauge; and determine the second height data based on the sub-image data.

6. The system according to claim 1, wherein: The image acquisition device is further used to acquire image data including an image corresponding to the electronic water level gauge at multiple angles according to a preset angle interval and a preset time interval when the electronic water level gauge acquires the first height data.

7. The system according to claim 6, characterized in that The image processor is further used to fuse the image data corresponding to each angle, including the image corresponding to the electronic water level gauge, to obtain the target image data corresponding to the preset time interval.

8. A method for monitoring mud water level, characterized in that: The method is applied to a monitoring system including an image acquisition device, an electronic water level gauge, an image processor and a data processor, and the method includes: The electronic water gauge collects first height data of the mud water level in the area to be detected, and sends the first height data to the data processor; When the electronic water level gauge acquires the first height data, the image acquisition device acquires target image data including an image corresponding to the electronic water level gauge within a preset time interval, and sends the target image data to the image processor; The image processor extracts features from the target image data to obtain second height data of the mud and water level in the area to be detected, and sends the second height data to the data processor; The data processor fuses the first height data and the second height data according to the configured water gauge weight and the configured image weight to obtain the target height data of the mud water level in the area to be detected; the water gauge weight and the image weight are determined based on the difference between the first height data and the second height data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to claim 8 is implemented.

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