An ecological management system for rivers

Abstract

The present invention relates to the technical field of water quality analysis, and discloses an ecological management system for rivers, including: multiple water quality collection devices, the water quality collection devices collect water quality data and send them to background processing devices, and drones collect environmental images and send them to the background processing devices. Multiple water flow monitoring devices collect water flow data of each sub-river; the background processing device processes the distribution map of the target river to obtain a sub-river information set, determines the farmland area according to the environmental image set, and determines the comprehensive management score of each sub-river according to the water quality data and the farmland area; determines the excessive pollutants, sewage treatment plans and farmland management suggestions for each sub-river in the sub-river group to be managed. In addition, it also includes an image collection device, and the background processing device performs image fusion processing to obtain a panoramic view, identify the coverage rate of floating plants, and process the sub-rivers with abnormal coverage separately; thus, the ecological management of the target river is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality analysis, and in particular to an ecological management system for rivers. Background Art

[0002] With the rapid development of rural areas and the increase in agricultural activities, rural rivers are facing many ecological and environmental problems, which not only affect local agricultural production, but also threaten the quality of life and health of residents. In particular, harmful chemicals from agricultural activities flow into rivers with rainwater, causing eutrophication and pollution of river water.

[0003] In the existing ecological management process of rivers, the following technical problems often occur:

[0004] First, it usually relies on manual on-site sample collection, which is inefficient and easily affected by human factors, resulting in inaccurate data. When formulating corresponding measures, people can only rely on experience, which may lead to waste of resources or poor governance results;

[0005] Second, the existing technology cannot effectively identify the coverage of plants such as duckweed in the river, so it is impossible to effectively organize cleaning work and subsequent monitoring, resulting in excessive growth of plants such as duckweed in the river, which in turn affects the ecological balance of the river;

[0006] Third, the existing technology for monitoring garbage in rivers relies on manual patrols, which is inefficient and difficult to fully cover. People who throw garbage into the river cannot be driven away or warned in a timely manner, resulting in inefficient cleaning work. Summary of the invention

[0007] The summary of the invention is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The summary of the invention is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0008] The present invention proposes an ecological management system for a river to solve one or more of the technical problems mentioned in the above background technology part.

[0009] The present invention provides an ecological management system for a river, comprising:

[0010] A plurality of water quality collection devices are arranged in each of the plurality of sub-rivers of the target river channel, wherein each sub-river channel corresponds to a water quality monitoring device, and each of the plurality of water quality collection devices is used to collect water quality data of the corresponding sub-river channel to obtain water quality data corresponding to each sub-river channel, wherein the water quality data includes a plurality of pollutant data, and the water quality data corresponding to each sub-river channel is sent to a background processing device;

[0011] The drone is used to collect environmental images of a preset range on both sides of each sub-river channel to obtain an environmental image set corresponding to each sub-river channel; and send the environmental image set to a background processing device;

[0012] A plurality of water flow monitoring devices are arranged in each of the plurality of sub-channels of the target river channel, wherein each sub-channel corresponds to a water flow monitoring device, which is used to collect the water flow velocity of each sub-channel in the target river channel, obtain the flow velocity data corresponding to each sub-channel, and send the flow velocity data corresponding to each sub-channel to the background processing device;

[0013] The background processing equipment is used to obtain the distribution map of the target river channel, process the distribution map of the target river channel, and obtain the information set corresponding to each river channel; determine the farmland area along the banks of each sub-river channel according to the environmental image set corresponding to each sub-river channel; obtain the content of each pollutant in each sub-river channel according to the multiple pollutant data in the water quality data corresponding to each sub-river channel; determine the pollution score corresponding to each pollutant according to the content of each pollutant in each sub-river channel; and assign a corresponding weighted weight to the pollution score corresponding to each pollutant, and perform weighted summation on the pollution scores corresponding to each pollutant to obtain the comprehensive water quality score corresponding to each sub-river channel; determine the farmland hazard score corresponding to each sub-river channel according to the content of each pollutant in each sub-river channel and the corresponding farmland area; determine the comprehensive management score corresponding to each sub-river channel according to the farmland hazard score corresponding to each sub-river channel and the comprehensive water quality score corresponding to each sub-river channel; for the comprehensive management score corresponding to each sub-river channel, if there is a sub-river channel with a comprehensive management score less than a preset comprehensive management score threshold, the sub-river channel with a comprehensive management score less than the preset comprehensive management score threshold is added to the sub-river channel group to be managed;

[0014] The background processing device is also used to determine the safety content threshold corresponding to each pollutant according to the weighted weight of the pollution score corresponding to each pollutant; compare the content of each pollutant in each sub-river channel in the sub-river channel group to be treated with the corresponding safety content threshold to obtain the comparison result corresponding to each pollutant; if there is a pollutant whose comparison result is that the pollutant content is greater than the corresponding safety content threshold; the pollutant whose pollutant content is greater than the corresponding safety content threshold is determined as an excessive pollutant, and the excessive pollutant corresponding to each sub-river channel in the sub-river channel group to be treated is obtained; according to the excessive pollutants corresponding to each sub-river channel and the flow rate data corresponding to each sub-river channel, the sewage treatment plan corresponding to each sub-river channel in the sub-river channel group to be treated is determined;

[0015] The background processing device is also used to send the sewage treatment plan corresponding to each sub-river in the sub-river group to be treated and the corresponding information set of each sub-river to the treatment terminal, so as to control the sewage treatment personnel at the sewage treatment terminal to perform river treatment for the corresponding sub-river according to the sewage treatment plan corresponding to each sub-river in the sub-river group to be treated and the corresponding location information of each sub-river;

[0016] The background processing equipment is also used to calculate the ratio of the content of pollutants in each sub-river in the sub-river group to be treated and the corresponding farmland area to obtain the pollution value of each pollutant in the corresponding farmland; sort the pollutants in the farmland according to the pollution value of each pollutant from large to small to obtain the pollutant sequence corresponding to the farmland; the pollutant ranked first in the pollutant sequence corresponding to the farmland is the target pollutant; and the farmland treatment recommendations for the corresponding sub-river are determined according to the target pollutant.

[0017] Optionally, the treatment plan corresponding to each sub-channel in the sub-channel group to be treated is determined by the following steps:

[0018] According to the flow velocity data corresponding to each sub-channel in the sub-channel group to be managed, determining the flow velocity attribute corresponding to each sub-channel in the sub-channel group to be managed, wherein the flow velocity attribute includes rapid flow and slow flow;

[0019] According to the flow velocity attribute corresponding to each sub-channel in the sub-channel group to be managed, the sub-channel with the flow velocity attribute of rapid flow is added to the rapid flow management sub-channel group, and the sub-channel with the flow velocity attribute of slow flow is added to the slow flow management sub-channel group;

[0020] For each sub-channel in the rapids management sub-channel group, determine the chemical properties of the pollutants exceeding the standard in each sub-channel, query in a preset treatment agent table, and obtain the treatment agent corresponding to the pollutants exceeding the standard; wherein the treatment agent table includes pollutants, chemical properties of pollutants, and treatment agents corresponding to the chemical properties; according to the treatment agents corresponding to the pollutants exceeding the standard, determine the treatment plan corresponding to the pollutants exceeding the standard; according to the treatment plan corresponding to the pollutants exceeding the standard, determine the treatment plan corresponding to each sub-channel in the rapids management sub-channel group;

[0021] For each sub-channel in the slow-flow management sub-channel group, determine the channel area corresponding to each sub-channel, and determine the ecological management area corresponding to each sub-channel based on the channel area corresponding to each sub-channel; for the excessive pollutants in each sub-channel in the slow-flow management sub-channel group, determine the aquatic plants corresponding to the excessive pollutants based on the chemical properties of the excessive pollutants;

[0022] Determine the total content of pollutants exceeding the standard in each sub-channel of the slow-flow management sub-channel group, and determine the planting area of ​​aquatic plants corresponding to the pollutants exceeding the standard based on the ratio of the content of the pollutants exceeding the standard to the total content of the pollutants exceeding the standard and the area of ​​the ecological management area;

[0023] Determine the corresponding treatment plan for each sub-channel in the slow-flow treatment sub-channel group according to the aquatic plants corresponding to the excessive pollutants and the corresponding planting area of ​​the aquatic plants;

[0024] According to the management plan corresponding to each sub-channel in the rapids management sub-channel group and the management plan corresponding to each sub-channel in the slow flow management sub-channel group, the management plan corresponding to each sub-channel in the sub-channel group to be managed is determined.

[0025] Optionally, also include:

[0026] A plurality of image acquisition devices are arranged on both sides of a plurality of sub-channels in a target channel, wherein an image acquisition device is arranged on both sides of each of the plurality of sub-channels, and the two image acquisition devices corresponding to each sub-channel are respectively used to acquire images of the corresponding sub-channel at the same target time point, and obtain an image set corresponding to each sub-channel at the target time point; and the image set is sent to a background processing device;

[0027] The background processing device is also used to input the image set corresponding to each sub-river channel into the image fusion model to obtain the panoramic image corresponding to each sub-river channel; identify the floating plant coverage rate of the panoramic image corresponding to each sub-river channel to obtain the floating plant coverage rate corresponding to each sub-river channel; for the floating plant coverage rate corresponding to each sub-river channel, if there is a sub-river channel with a floating plant coverage rate greater than a preset safety coverage rate, the sub-river channel with a floating plant coverage rate greater than the preset safety coverage rate is added to the floating plant removal sub-river channel group, and if there is a sub-river channel with a floating plant coverage rate less than the preset safety coverage rate, it is added to the sub-river channel group to be monitored;

[0028] According to the information set corresponding to each sub-channel, a clearing signal including the position information of each sub-channel in the sub-channel group for clearing floating plants is generated, and the clearing signal is sent to the clearing terminal to control the staff corresponding to the clearing terminal to clear floating plants from each sub-channel in the sub-channel group for clearing floating plants according to the position information of each sub-channel in the sub-channel group for clearing floating plants;

[0029] The sub-channels in the sub-channel group for clearing floating plants that have completed the cleaning of floating plants are added to the sub-channel group to be monitored to obtain an updated sub-channel group to be monitored; according to a preset standard time period, the floating plant coverage rate of each sub-channel in the sub-channel group to be monitored is identified.

[0030] Optionally, the area of ​​farmland along the banks of each sub-channel is determined by the following steps:

[0031] Input each environmental image in the environmental image set corresponding to each sub-river channel into the farmland segmentation network to obtain multiple segmentation images corresponding to each environmental image, wherein the segmentation images include farmland segmentation images and non-farmland segmentation images; combine the farmland segmentation images corresponding to each environmental image to obtain a farmland segmentation image set corresponding to each environmental image;

[0032] According to each farmland segmentation image in the farmland segmentation image set corresponding to each environmental image, an image area corresponding to each farmland segmentation image is determined, and the image areas corresponding to each farmland segmentation image in the farmland segmentation image set corresponding to each environmental image are added together to obtain a total area of ​​the farmland segmentation image corresponding to each environmental image;

[0033] The scale corresponding to each environmental image in the environmental image set corresponding to each sub-river channel is obtained; and the farmland area along both sides of each sub-river channel is determined according to the scale corresponding to each environmental image and the total area of ​​the farmland segmentation image corresponding to each environmental image.

[0034] The present invention has the following beneficial effects:

[0035] 1. Through water quality collection equipment and drones, water quality data and environmental images are collected, which improves the efficiency of sample collection. The background processing equipment analyzes and determines the farmland area and pollutant content of each sub-river channel, and calculates the comprehensive management score. For sub-rivers with sub-river channels that do not meet the comprehensive management score, the pollutants that exceed the standard are determined, and corresponding management plans are generated for sub-rivers with different flow rate attributes. This production method of management plans improves the efficiency and effectiveness of river management and reduces resource waste;

[0036] 2. Image acquisition equipment is set on both sides of each of the multiple sub-channels of the target river channel, and the collected image sets are sent to the background processing equipment. The background processing equipment inputs the image sets into the image fusion model to obtain a panoramic image to identify the coverage rate of floating plants, and groups them according to the coverage rate. A clearing signal is generated for each sub-channel in the sub-channel group for clearing floating plants to guide the clearing. The cleared sub-channel is added to the monitoring group and continuously monitored according to the preset cycle. This solves the problem that the coverage rate of plants such as duckweed in the river channel cannot be identified, and it is difficult to organize the clearing work and subsequent monitoring, resulting in excessive plant growth affecting the ecological balance of the river channel;

[0037] 3. Vibration sensors are set up in the sub-channels of the target river to collect water surface fluctuation data. The background processing equipment obtains the image set based on the data stamp of the water surface fluctuation data to generate a panoramic view and detects abnormal floating objects by comparing with the standard panoramic view, which improves the efficiency of monitoring river garbage and achieves comprehensive coverage of garbage monitoring in the target river. For sub-channels with abnormal floating objects, a drive-away signal is generated to warn drones, and people who throw garbage into the river are driven away and warned. At the same time, a clearing signal is generated to command the cleaning personnel to salvage, which improves the efficiency of the cleaning work. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0039] Figure 1 It is an exemplary structural diagram of the ecological management system for rivers of the present invention. DETAILED DESCRIPTION

[0040] The present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0041] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0042] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0043] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0044] The names of the messages or information exchanged between multiple devices of the present invention are only for illustrative purposes, and are not used to limit the scope of these messages or information.

[0045] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0046] like Figure 1 As shown, the ecological management system for rivers includes multiple water quality collection equipment 101, drones 102, multiple water flow monitoring devices 103, background processing equipment 104 and multiple image collection equipment 105.

[0047] Among them, multiple water quality collection devices 101 are arranged in each of the multiple sub-rivers of the target river. Among them, each sub-river corresponds to a water quality monitoring device, and each water quality collection device in the multiple water quality collection devices 101 is used to collect water quality data of the corresponding sub-river to obtain water quality data corresponding to each sub-river. In practice, each water quality collection device in the multiple water quality collection devices 101 includes a water quality data sensor, a communication module, etc., so that it can be connected to the background processing device 104 through communication to send the collected water quality data corresponding to each sub-river to the background processing device 104. Among them, the multiple water quality collection devices 101 can be used to collect the following water quality data: pH value, dissolved oxygen content, multiple pollutant data, etc., and the multiple pollutant data include but are not limited to nitrogen content data, phosphorus content data, nitrate content data, etc.

[0048] The drone 102 is used to collect environmental images of a preset range on both sides of each sub-river. As an example, the drone 102 is configured with an image collector, and the drone 102 can be a drone of various models, and is configured with a flight control system, a navigation system and a communication module as needed. In practice, the image collector can be a camera. As an example, the preset range can be 100 square meters, so that the image collector configured by the drone 102 takes pictures of the environment within 100 square meters on both sides of each sub-river, wherein any one side of the two sides of each sub-river corresponds to an environmental image, so that one sub-river corresponds to two environmental images, and the two environmental images corresponding to each sub-river are combined to obtain an environmental image set corresponding to each sub-river. The drone 102 is connected to the background processing device 104 through the communication module to send the collected environmental image set corresponding to each sub-river to the background processing device 104.

[0049] Multiple water flow monitoring devices 103 are arranged in each of the multiple sub-channels of the target river channel, wherein each sub-channel corresponds to a water flow monitoring device. In practice, each of the multiple water flow monitoring devices 103 may include a turbine flow rate sensor, a communication module, etc., so that the water flow velocity of each sub-channel in the target river channel can be collected by the turbine flow rate sensor to obtain the flow rate data corresponding to each sub-channel, and the flow rate data corresponding to each sub-channel is sent to the background processing device 104 through the communication module.

[0050] In practice, the background processing device 104 may be a background server, and the background processing device 104 is configured with a communication module, a CPU, etc. The background processing device 104 is connected to the open source geographic monitoring cloud platform through communication, so that the background processing device 104 can obtain the distribution map of the target river channel, process the distribution map of the target river channel, and obtain the information set corresponding to each river channel.

[0051] Optionally, the information set corresponding to each river channel is obtained by the following steps:

[0052] Step 1: According to a preset standard length and an equidistant division method, the distribution map of the target river is divided to obtain multiple distribution sub-maps corresponding to the target river.

[0053] In some embodiments, the preset standard length may be 15CM, and the length of the distribution map of the target river channel is divided in an equidistant manner to obtain a plurality of distribution sub-maps corresponding to the target river channel.

[0054] Step 2: Determine multiple sub-rivers corresponding to the target river according to multiple distribution sub-maps corresponding to the target river.

[0055] In some embodiments, a river channel included in each distribution sub-map of a plurality of distribution sub-maps corresponding to a target river channel is determined as a sub-river channel corresponding to the target river channel, wherein each distribution sub-map includes a sub-river channel, thereby obtaining a plurality of sub-river channels corresponding to the target river channel.

[0056] Step three, determining the location information of each sub-channel according to the distribution map of the target channel and the distribution sub-map corresponding to each sub-channel in the multiple sub-channels.

[0057] In some embodiments, a coordinate system can be added to the distribution map of the target river channel through the background processing device 104 to obtain the coordinate system corresponding to the distribution map of the target river channel. The coordinate system corresponding to the distribution map of the target river channel is used to determine the coordinate system of the distribution sub-map corresponding to each sub-river channel, and the coordinate system of the distribution sub-map corresponding to each sub-river channel is used as the location information of each sub-river channel.

[0058] Step 4: number each of the multiple sub-channels corresponding to the target river channel in sequence according to the flow direction of the target river channel to obtain the numbering information corresponding to each sub-channel.

[0059] In some embodiments, the flow direction of the target river channel can be sent by the management personnel to the background processing device 104 through the management terminal. The background processing device 104 sequentially numbers each of the multiple sub-channels corresponding to the target river channel to obtain the number corresponding to each sub-channel.

[0060] Step five, combining the location information of each sub-channel and the corresponding number information to obtain an information set corresponding to each sub-channel.

[0061] The background processing device 104 determines the farmland area along both sides of each sub-river channel according to the environmental image set corresponding to each sub-river channel.

[0062] Optionally, the area of ​​farmland along the banks of each sub-channel is determined by the following steps:

[0063] Step 1: Input each environmental image in the environmental image set corresponding to each sub-river channel into the farmland segmentation network to obtain multiple segmentation images corresponding to each environmental image, wherein the segmentation images include farmland segmentation images and non-farmland segmentation images; combine the farmland segmentation images corresponding to each environmental image to obtain a farmland segmentation image set corresponding to each environmental image.

[0064] In some embodiments, each environmental image in the environmental image set corresponding to each sub-river channel is input into a farmland segmentation network to obtain multiple segmented images corresponding to each environmental image, wherein the segmented images include farmland segmented images and non-farmland segmented images; and the farmland segmented images corresponding to each environmental image are combined to obtain a farmland segmented image set corresponding to each environmental image.

[0065] In practice, the farmland segmentation network can be a fully convolutional neural network (FCN). Before use, the fully convolutional neural network (FCN) can be trained using a training sample set so that the accuracy of the segmented image output by the fully convolutional neural network (FCN) meets actual usage requirements.

[0066] Among them, the training samples in the training sample set include a sample environment image and a segmented image corresponding to the sample environment image; thereby, the sample environment image is taken as input, and the segmented image corresponding to the sample environment image is taken as the expected output; and the fully convolutional neural network (FCN) is trained using a deep learning training method.

[0067] Step 2: Determine the image area corresponding to each farmland segmentation image in the farmland segmentation image set corresponding to each environmental image, add the image areas corresponding to each farmland segmentation image in the farmland segmentation image set corresponding to each environmental image, and obtain the total area of ​​the farmland segmentation image corresponding to each environmental image.

[0068] In some embodiments, as an example, each farmland segmentation image is a rectangle or a square, and the length and width of each farmland segmentation image are multiplied to obtain the image area corresponding to each farmland segmentation image.

[0069] Step three, obtaining the scale corresponding to each environmental image in the environmental image set corresponding to each sub-river channel; determining the farmland area along both sides of each sub-river channel according to the scale corresponding to each environmental image and the total area of ​​the farmland segmentation image corresponding to each environmental image.

[0070] In some embodiments, the area of ​​each environmental image is compared with the actual area of ​​the photographed land to obtain the scale corresponding to each environmental image. The total area of ​​the farmland segmentation images corresponding to each environmental image is divided by the scale corresponding to each environmental image to obtain the farmland area corresponding to each environmental image; the farmland area corresponding to each environmental image in the environmental image set corresponding to each sub-river channel is added to obtain the farmland area along both sides of each sub-river channel.

[0071] The background processing device 104 obtains the content of each pollutant in each sub-river channel according to the multiple pollutant data in the water quality data corresponding to each sub-river channel. As an example, each pollutant data in the multiple pollutant data contains the content of each pollutant. According to the content of each pollutant in each sub-river channel, the pollution score corresponding to each pollutant is determined. As an example, the content of the pollutant can be 0.75 mg / L of the pollutant (nitrogen), 0.63 mg / L of the pollutant (phosphorus), and 0.58 mg / L of the pollutant (nitrate). It can be seen that the pollution score corresponding to the pollutant (nitrogen) can be 50 points, the pollution score corresponding to the pollutant (nitrate) can be 60 points, and the pollution score corresponding to the pollutant (phosphorus) can be 70 points. Among them, the lower the pollution score corresponding to the pollutant, the more serious the pollution degree of the pollutant in the sub-river channel. The pollution score corresponding to each pollutant is assigned a corresponding weighted weight, and the pollution scores corresponding to each pollutant are weighted and summed to obtain the comprehensive water quality score corresponding to each sub-river channel. Among them, the value of the score in the comprehensive water quality score can represent the degree of water pollution of the corresponding sub-river channel. The higher the comprehensive water quality score of the sub-river channel, the lighter the water pollution of the sub-river channel. According to the content of each pollutant in each sub-river channel and the corresponding farmland area, the farmland hazard score corresponding to each sub-river channel is determined. As an example, the content of each pollutant in each sub-river channel is divided by the corresponding farmland area to obtain the hazard ratio. Among them, the smaller the hazard ratio, the smaller the hazard of the farmland, from which it can be seen that the farmland hazard score corresponding to the sub-river channel is smaller. Conversely, the larger the hazard ratio, the greater the hazard of the farmland, and the larger the farmland hazard score corresponding to the sub-river channel. The farmland hazard score corresponding to each sub-river channel and the comprehensive water quality score corresponding to each sub-river channel are added to obtain the comprehensive governance score corresponding to each sub-river channel. For the comprehensive governance score corresponding to each sub-river channel, if there is a sub-river channel with a comprehensive governance score less than the preset comprehensive governance score threshold, the sub-river channel with a comprehensive governance score less than the preset comprehensive governance score threshold is added to the sub-river channel group to be governed.

[0072] The background processing device 104 is also used to determine the safety content threshold corresponding to each pollutant according to the weighted weight of the pollution score corresponding to each pollutant; in practice, the higher the weighted weight of the pollution score, the lower the safety content threshold corresponding to each pollutant. As an example, the weighted weight of the pollution score of the pollutant (nitrogen) is 0.6, the weighted weight of the pollution score of the pollutant (phosphorus) is 0.3, and the weighted weight of the pollution score of the pollutant (nitrate) is 0.1. Among them, the safety content threshold corresponding to the pollutant (nitrate) can be 0.6 mg / L, the safety content threshold corresponding to the pollutant (phosphorus) can be 0.4 mg / L, and the safety content threshold of the pollutant (nitrogen) can be 0.1 mg / L. The content of each pollutant in each sub-river channel in the sub-river channel group to be governed is compared with the corresponding safety content threshold to obtain the comparison result corresponding to each pollutant. Among them, the comparison result includes that the content of the pollutant is greater than the corresponding safety content threshold and the content of the pollutant is less than the corresponding safety content threshold. If there is a pollutant whose content is greater than the corresponding safety content threshold as a comparison result, the pollutant whose content is greater than the corresponding safety content threshold is determined as an excessive pollutant, and the excessive pollutants corresponding to each sub-river in the sub-river group to be treated are obtained. According to the excessive pollutants corresponding to each sub-river and the flow rate data corresponding to each sub-river, the sewage treatment plan corresponding to each sub-river in the sub-river group to be treated is determined.

[0073] Optionally, the sewage treatment plan corresponding to each sub-river in the sub-river group to be treated is determined by the following steps:

[0074] Step 1: Determine the velocity attribute corresponding to each sub-channel in the sub-channel group to be managed according to the velocity data corresponding to each sub-channel in the sub-channel group to be managed, wherein the velocity attribute includes rapid flow and slow flow.

[0075] In some embodiments, as an example, the flow velocity data corresponding to each sub-channel in the sub-channel group to be managed may be that the flow velocity data corresponding to sub-channel A is 70 meters per second, the flow velocity data corresponding to sub-channel B is 80 meters per second, and the flow velocity data corresponding to sub-channel C is 50 meters per second. The flow velocity data corresponding to each sub-channel is compared with a preset flow velocity threshold, where the flow velocity threshold may be 60 meters per second. It can be seen that the flow velocity attributes corresponding to sub-channel A and sub-channel B are rapids, and the flow velocity attribute corresponding to sub-channel C is slow flow.

[0076] Step 2: According to the flow velocity attribute corresponding to each sub-channel in the sub-channel group to be managed, the sub-channel with a rapid flow attribute is added to the rapid flow management sub-channel group, and the sub-channel with a slow flow attribute is added to the slow flow management sub-channel group.

[0077] In some embodiments, each sub-channel in the sub-channel group to be managed is re-divided into a corresponding rapids management sub-channel group or a slow-flow management sub-channel group according to the flow velocity attribute corresponding to each sub-channel in the sub-channel group to be managed. Specifically, the sub-channel group to be managed is divided into a slow-flow management sub-channel group and a rapids management sub-channel group according to the flow velocity attribute corresponding to each sub-channel.

[0078] Step three, for each sub-channel in the rapids management sub-channel group, determine the chemical properties of the pollutants exceeding the standard in each sub-channel, query in the preset treatment agent table, and obtain the treatment agents corresponding to the pollutants exceeding the standard; wherein the treatment agent table includes pollutants, chemical properties of pollutants, and treatment agents corresponding to the chemical properties; according to the treatment agents corresponding to the pollutants exceeding the standard, determine the treatment plans corresponding to the pollutants exceeding the standard; according to the treatment plans corresponding to the pollutants exceeding the standard, determine the treatment plans corresponding to each sub-channel in the rapids management sub-channel group.

[0079] In some embodiments, for each sub-channel in the rapids management sub-channel group, the chemical properties of each pollutant exceeding the standard are queried in a preset treatment agent table to obtain the treatment agent corresponding to each pollutant exceeding the standard. As an example, the treatment agent table includes pollutants, chemical properties of pollutants, and treatment agents corresponding to the chemical properties. According to the treatment agent corresponding to each pollutant exceeding the standard, the treatment scheme corresponding to each pollutant exceeding the standard is determined. As an example, the pollutant exceeding the standard may be nitrogen, the chemical property corresponding to the pollutant exceeding the standard (nitrogen) is N, the treatment agent corresponding to the chemical property of the pollutant (N) is calcium hydroxide, and the treatment scheme corresponding to the pollutant exceeding the standard (nitrogen) may be to put the corresponding treatment agent (calcium hydroxide) into the corresponding sub-channel.

[0080] Step 4: For each sub-channel in the slow-flow management sub-channel group, determine the river area corresponding to each sub-channel, and determine the ecological management area corresponding to each sub-channel based on the river area corresponding to each sub-channel; for the excessive pollutants in each sub-channel in the slow-flow management sub-channel group, determine the aquatic plants corresponding to the excessive pollutants based on the chemical properties of the excessive pollutants.

[0081] In some embodiments, for each sub-river channel in the slow-flow management sub-river channel group, the river channel area corresponding to each sub-river channel is determined. As an example, the river channel area can be obtained by dividing the area of ​​the panorama corresponding to each sub-river channel by the scale of the corresponding panorama. According to the river channel area corresponding to each sub-river channel, the ecological management area area corresponding to each sub-river channel is determined. Among them, the ecological management area area can be set to 10% of the corresponding river channel area. As an example, the river channel area of ​​sub-river channel C is 100 square meters, and the ecological management area area corresponding to sub-river channel C is 10 square meters. For the excessive pollutants in each sub-river channel in the slow-flow management sub-river channel group, according to the chemical properties of the excessive pollutants, the aquatic plants corresponding to the excessive pollutants are determined. As an example, the chemical property of the excessive pollutants is N, and the aquatic plants corresponding to the excessive pollutants are cattails. The chemical property of the excessive pollutants is P, and the aquatic plants corresponding to the excessive pollutants are Lythrum salicaria. Among them, the aquatic plants corresponding to the excessive pollutants can be obtained by querying in a preset aquatic plant table, wherein the aquatic plant table includes the chemical properties of the excessive pollutants and the aquatic plants corresponding to the chemical properties of the excessive pollutants.

[0082] Step five, determine the total content of pollutants exceeding the standard in each sub-channel of the slow-flow management sub-channel group, and determine the planting area of ​​aquatic plants corresponding to the pollutants exceeding the standard based on the ratio of the content of pollutants exceeding the standard to the total content of pollutants exceeding the standard and the area of ​​the ecological management area.

[0083] In some embodiments, as an example, the content of the pollutant (nitrogen) exceeding the standard in sub-channel C is 0.75 mg / L. The content of the pollutant (phosphorus) exceeding the standard in sub-channel C is 0.65 mg / L. It can be seen that the total content of the pollutants exceeding the standard in sub-channel C is 1.4, wherein the content ratio of the content of the pollutant (nitrogen) exceeding the standard to the total content of the pollutants exceeding the standard is 0.54. The content ratio of the pollutant (phosphorus) exceeding the standard to the total content of the pollutants exceeding the standard is 0.46. Multiply the content ratio corresponding to the pollutants exceeding the standard by the area of ​​the ecological management area to obtain the planting area of ​​aquatic plants corresponding to the pollutants exceeding the standard.

[0084] Step six, according to the aquatic plants corresponding to the excessive pollutants and the corresponding planting area of ​​the aquatic plants, determine the corresponding treatment plan for each sub-channel in the slow flow treatment sub-channel group.

[0085] In some embodiments, as an example, the management plan corresponding to each sub-channel in the slow-flow management sub-channel group may be to plant corresponding aquatic plants according to the corresponding planting area.

[0086] Step seven, according to the treatment plan corresponding to each sub-channel in the rapids treatment sub-channel group and the treatment plan corresponding to each sub-channel in the slow flow treatment sub-channel group, determine the treatment plan corresponding to each sub-channel in the sub-channel group to be treated.

[0087] The background processing device 104 is also used to send the sewage treatment plan corresponding to each sub-river in the sub-river group to be treated and the information set corresponding to each sub-river to the treatment terminal, so as to control the sewage treatment personnel at the sewage treatment terminal to perform river treatment for the corresponding sub-river according to the sewage treatment plan corresponding to each sub-river in the sub-river group to be treated and the location information of each sub-river.

[0088] The background processing equipment is also used to calculate the ratio of the content of pollutants in each sub-river in the sub-river group to be treated to the corresponding farmland area, and obtain the pollution value of each pollutant in the corresponding farmland; sort the pollutants in the farmland according to the pollution value of each pollutant from large to small, and obtain the pollutant sequence corresponding to the farmland; the pollutant ranked first in the pollutant sequence corresponding to the farmland is the target pollutant; and the farmland treatment suggestion for the corresponding sub-river is determined according to the target pollutant. Among them, the farmland treatment suggestion can be to reduce the amount of fertilizer containing the target pollutant.

[0089] In these embodiments, water quality data and environmental images are collected through water quality collection equipment and drones, improving the efficiency of sample collection. The background processing equipment analyzes and determines the farmland area and pollutant content of each sub-river channel and calculates the comprehensive management score. For sub-rivers with sub-river channels that do not meet the comprehensive management score, the pollutants exceeding the standard are determined, and corresponding management plans are generated for sub-rivers with different flow rate attributes. This method of producing management plans improves the efficiency and effectiveness of river management and reduces resource waste.

[0090] In some embodiments, in order to further solve the second technical problem described in the background technology section, that is, "the existing technology cannot effectively identify the coverage of plants such as duckweed in the river, so that it is impossible to effectively organize cleaning work and subsequent monitoring, resulting in excessive growth of plants such as duckweed in the river, thereby affecting the ecological balance of the river", some embodiments of the present invention also include:

[0091] Multiple image acquisition devices 105 are arranged on both sides of multiple sub-channels in the target river channel, wherein an image acquisition device is arranged on both sides of each of the multiple sub-channels, and the two image acquisition devices corresponding to each sub-channel are respectively used to acquire images of the corresponding sub-channel at the same target time point, and obtain an image set corresponding to each sub-channel at the target time point; and send the image set to the background processing device 104.

[0092] In some embodiments, multiple image acquisition devices 105 are arranged on both sides of multiple sub-channels in the target river channel, and an image acquisition device is arranged on both sides of each sub-channel in the multiple sub-channels. In practice, the multiple image acquisition devices 105 can be cameras. The two image acquisition devices corresponding to each sub-channel are used to collect images of the corresponding sub-channel at the same target time point. And the image set corresponding to each sub-channel at the target time point is obtained. Among them, each sub-channel corresponds to two image acquisition devices, and the two image acquisition devices corresponding to the sub-channel collect images of the corresponding sub-channel at the same target time point. The number of images taken by each of the two image acquisition devices corresponding to the sub-channel is one. It can be seen that at the same target time point, each sub-channel corresponds to two images. The two images corresponding to each sub-channel at the same target time point are combined to obtain the image set corresponding to each sub-channel at the target time point. Multiple image acquisition devices 105 are configured with a communication module as needed, and the obtained image set corresponding to each sub-channel is sent to the background processing device 104.

[0093] The background processing device 104 is also used to input the image set corresponding to each sub-river channel into the image fusion model to obtain a panoramic image corresponding to each sub-river channel; identify the floating plant coverage rate of the panoramic image corresponding to each sub-river channel to obtain the floating plant coverage rate corresponding to each sub-river channel; for the floating plant coverage rate corresponding to each sub-river channel, if there is a sub-river channel with a floating plant coverage rate greater than a preset safety coverage rate, the sub-river channel with a floating plant coverage rate greater than the preset safety coverage rate is added to the floating plant removal sub-river channel group; if there is a sub-river channel with a floating plant coverage rate less than the preset safety coverage rate, it is added to the sub-river channel group to be monitored.

[0094] In some embodiments, in practice, the image fusion model can be a convolutional neural network (CNN). The training samples in the training sample set of the convolutional neural network (CNN) include a sample image set and a panoramic image corresponding to the sample image set; wherein the training method of the convolutional neural network (CNN) is the same as the training method of the full convolutional neural network (FCN), which will not be described in detail here. The image set corresponding to each sub-river channel is input into the image fusion model to obtain a panoramic image corresponding to each sub-river channel.

[0095] The panoramic image corresponding to each sub-river channel is input into the corresponding floating plant segmentation network to obtain multiple segmented sub-images of the panoramic image corresponding to each sub-river channel, wherein the multiple segmented sub-images of the panoramic image include floating plant coverage areas and non-floating plant coverage areas; the area of ​​the floating plant coverage area is compared with the area of ​​the panoramic image corresponding to each sub-river channel to obtain the floating plant coverage rate corresponding to each sub-river channel. For the floating plant coverage rate corresponding to each sub-river channel, if there is a sub-river channel with a floating plant coverage rate greater than the preset safety coverage rate, the sub-river channel with a floating plant coverage rate greater than the preset safety coverage rate is added to the floating plant removal sub-river channel group, and if there is a sub-river channel with a floating plant coverage rate less than the preset safety coverage rate, it is added to the sub-river channel group to be monitored.

[0096] According to the information set corresponding to each sub-channel, wherein the information set includes the location information and the number information, the location information of each sub-channel in the sub-channel group for removing floating plants is selected, a clearing signal including the location information of each sub-channel in the sub-channel group for removing floating plants is generated, and the clearing signal is sent to the clearing terminal to control the staff corresponding to the clearing terminal to clear floating plants in each sub-channel in the sub-channel group for removing floating plants according to the location information of each sub-channel in the sub-channel group for removing floating plants.

[0097] The sub-channels in the sub-channel group for clearing floating plants that have completed the cleaning of floating plants are added to the sub-channel group to be monitored to obtain an updated sub-channel group to be monitored; according to a preset standard time period, the floating plant coverage rate of each sub-channel in the sub-channel group to be monitored is identified.

[0098] In some embodiments, the sub-river channel in the sub-river channel group for clearing floating plants that has completed the clearing of floating plants is added to the sub-river channel group to be monitored. In practice, after the staff corresponding to the clearing terminal completes the clearing of floating plants in each sub-river channel in the sub-river channel group for clearing floating plants, the staff sends a clearing completion signal to the background processing device 104 through the clearing terminal. The background processing device 104 adds each sub-river channel in the sub-river channel group for clearing floating plants to the sub-river channel group to be monitored, and obtains an updated sub-river channel group to be monitored; according to a preset standard time period, the floating plant coverage rate of each sub-river channel in the sub-river channel group to be monitored is identified. Among them, the preset standard time period can be two weeks, and the method for identifying the floating plant coverage rate of each sub-river channel is the same as the above-mentioned method for identifying the floating plant coverage rate, which will not be repeated here.

[0099] In these embodiments, image acquisition devices are arranged on both sides of each of the multiple sub-channels of the target river channel, and the acquired image sets are sent to the background processing device. The background processing device inputs the image sets into the image fusion model to obtain a panoramic image to identify the coverage rate of floating plants, and groups them according to the coverage rate comparison. A clearing signal is generated for each sub-channel in the sub-channel group for clearing floating plants to guide the clearing. The sub-channels that have been cleared are added to the group to be monitored and continuously monitored according to a preset period. This solves the problem of being unable to identify the coverage rate of plants such as duckweed in the river channel, making it difficult to organize the clearing work and subsequent monitoring, resulting in excessive plant growth affecting the ecological balance of the river channel.

[0100] In some embodiments, in order to further solve the third technical problem described in the background technology section, that is, "the existing technology relies on manual patrols for monitoring garbage in rivers, which is inefficient and difficult to fully cover, and people who throw garbage into rivers cannot be driven away and warned in time, resulting in low efficiency of cleaning work", some embodiments of the present invention also include:

[0101] Multiple vibration sensors are arranged in each of the multiple sub-channels of the target river channel, wherein each sub-channel corresponds to a vibration sensor, and each of the multiple vibration sensors is used to collect water surface fluctuation data of the corresponding sub-channel, obtain the water surface fluctuation data corresponding to each sub-channel, and send the water surface fluctuation data corresponding to each sub-channel to the background processing device.

[0102] The background processing device is also used to obtain an image set of the sub-river channel at the same timestamp according to the timestamp of the water surface fluctuation data, and generate a panoramic view of the sub-river channel at the corresponding timestamp according to the image set of the sub-river channel at the same timestamp; compare the panoramic view of the sub-river channel at the corresponding timestamp with the standard panoramic view corresponding to the sub-river channel to determine whether there are abnormal floating objects in the sub-river channel. As an example, the background processing device extracts the grayscale value of each pixel in the panoramic view of the sub-river channel at the corresponding timestamp and determines the position information of each pixel. The processing method for the standard panoramic view corresponding to the sub-river channel is the same as the above processing method, which is not repeated here. Subtract the grayscale values ​​of the pixels with the same position information in the panoramic view of the sub-river channel at the corresponding timestamp and the corresponding standard panoramic view to obtain multiple grayscale difference values. Determine the number of non-zero values ​​in the multiple grayscale difference values. If the number of non-zero values ​​is greater than the preset threshold value, it is determined that there are abnormal floating objects in the sub-river channel corresponding to the panoramic view at the timestamp; for the sub-river channel with abnormal floating objects, generate a driving signal including the position information of the sub-river channel with abnormal floating objects, and send the driving signal to the drone.

[0103] The drone is also used to fly to the location of the sub-river channel corresponding to the expulsion signal and play an expulsion voice to warn people who throw garbage into the river. The drone can be equipped with a voice player as needed, and the expulsion voice is recorded in the voice player.

[0104] The background processing equipment is also used to determine the sub-channel corresponding to the next number of the channel number based on the channel number information and the order of the numbers of the sub-channel where abnormal floating objects exist, and generate a clearing signal containing the position information of the sub-channel corresponding to the next number, so as to control the cleaning personnel to salvage and clean the abnormal floating objects for the corresponding sub-channel according to the position information.

[0105] In these embodiments, vibration sensors are set in the sub-channels of the target river to collect water surface fluctuation data. The background processing device obtains the image set based on the data stamp of the water surface fluctuation data to generate a panoramic image and detects abnormal floating objects by comparing with the standard panoramic image, thereby improving the efficiency of monitoring river garbage and achieving comprehensive coverage of garbage monitoring in the target river. For the sub-channels with abnormal floating objects, a drive-away signal is generated to warn the drone, and people who throw garbage into the river are driven away and warned. At the same time, a clearing signal is generated to command the cleaning personnel to salvage, thereby improving the efficiency of the cleaning work.

[0106] The above descriptions are only some preferred embodiments of the present invention and the explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but also should cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) to form a technical solution.

Claims

1. An ecological management system for a river, characterized in that: include: A plurality of water quality collection devices are arranged in each of the plurality of sub-rivers of the target river channel, wherein each sub-river channel corresponds to a water quality monitoring device, and each of the plurality of water quality collection devices is used to collect water quality data of the corresponding sub-river channel, obtain water quality data corresponding to each sub-river channel, wherein the water quality data includes a plurality of pollutant data, and send the water quality data corresponding to each sub-river channel to a background processing device; The drone is used to collect environmental images of a preset range on both sides of each sub-channel to obtain an environmental image set corresponding to each sub-channel; and send the environmental image set to a background processing device; A plurality of water flow monitoring devices are arranged in each of the plurality of sub-channels of the target river channel, wherein each sub-channel corresponds to a water flow monitoring device, which is used to collect the water flow velocity of each sub-channel in the target river channel, obtain the flow velocity data corresponding to each sub-channel, and send the flow velocity data corresponding to each sub-channel to the background processing device; The background processing device is used to obtain the distribution map of the target river channel, process the distribution map of the target river channel, and obtain the information set corresponding to each river channel; determine the farmland area along the banks of each sub-river channel according to the environmental image set corresponding to each sub-river channel; obtain the content of each pollutant in each sub-river channel according to multiple pollutant data in the water quality data corresponding to each sub-river channel; determine the pollution score corresponding to each pollutant according to the content of each pollutant in each sub-river channel; and assign a corresponding weighted weight to the pollution score corresponding to each pollutant, and perform weighted summation on the pollution scores corresponding to each pollutant to obtain the comprehensive water quality score corresponding to each sub-river channel; determine the farmland hazard score corresponding to each sub-river channel according to the content of each pollutant in each sub-river channel and the corresponding farmland area; determine the comprehensive management score corresponding to each sub-river channel according to the farmland hazard score corresponding to each sub-river channel and the comprehensive water quality score corresponding to each sub-river channel; for the comprehensive management score corresponding to each sub-river channel, if there is a sub-river channel with a comprehensive management score less than a preset comprehensive management score threshold, add the sub-river channel with a comprehensive management score less than the preset comprehensive management score threshold to the sub-river channel group to be managed; The background processing device is also used to determine the safety content threshold corresponding to each pollutant according to the weighted weight of the pollution score corresponding to each pollutant; compare the content of each pollutant in each sub-river channel in the sub-river channel group to be treated with the corresponding safety content threshold to obtain the comparison result corresponding to each pollutant; if there is a pollutant whose comparison result is that the pollutant content is greater than the corresponding safety content threshold; the pollutant whose pollutant content is greater than the corresponding safety content threshold is determined as an excessive pollutant, and the excessive pollutant corresponding to each sub-river channel in the sub-river channel group to be treated is obtained; according to the excessive pollutants corresponding to each sub-river channel and the flow rate data corresponding to each sub-river channel, the sewage treatment plan corresponding to each sub-river channel in the sub-river channel group to be treated is determined; The background processing device is also used to send the sewage treatment plan corresponding to each sub-river channel in the sub-river channel group to be treated and the corresponding information set of each sub-river channel to the treatment terminal, so as to control the sewage treatment personnel at the sewage treatment terminal to perform river channel treatment for the corresponding sub-river channel according to the sewage treatment plan corresponding to each sub-river channel in the sub-river channel group to be treated and the corresponding location information of each sub-river channel; The background processing device is also used to calculate the ratio of the content of pollutants in each sub-river channel in the sub-river channel group to be treated to the corresponding farmland area to obtain the pollution value of each pollutant in the corresponding farmland; sort the pollutants in the farmland according to the pollution value of each pollutant from large to small to obtain the pollutant sequence corresponding to the farmland; the pollutant ranked first in the pollutant sequence corresponding to the farmland is the target pollutant; and the farmland treatment suggestion of the corresponding sub-river channel is determined according to the target pollutant; The sewage treatment scheme corresponding to each sub-river in the sub-river group to be treated is determined by the following steps: Determine the flow velocity attribute corresponding to each sub-channel in the sub-channel group to be managed according to the flow velocity data corresponding to each sub-channel in the sub-channel group to be managed, wherein the flow velocity attribute includes rapid flow and slow flow; According to the flow velocity attribute corresponding to each sub-channel in the sub-channel group to be managed, the sub-channel with the flow velocity attribute of rapid flow is added to the rapid flow management sub-channel group, and the sub-channel with the flow velocity attribute of slow flow is added to the slow flow management sub-channel group; For each sub-channel in the rapids management sub-channel group, determine the chemical properties of the pollutants exceeding the standard in each sub-channel, query in a preset treatment agent table, and obtain the treatment agent corresponding to the pollutants exceeding the standard; wherein the treatment agent table includes pollutants, chemical properties of pollutants, and treatment agents corresponding to the chemical properties; according to the treatment agents corresponding to the pollutants exceeding the standard, determine the treatment scheme corresponding to the pollutants exceeding the standard; according to the treatment scheme corresponding to the pollutants exceeding the standard, determine the treatment scheme corresponding to each sub-channel in the rapids management sub-channel group; For each sub-channel in the slow-flow management sub-channel group, determine the channel area corresponding to each sub-channel, and determine the ecological management area corresponding to each sub-channel according to the channel area corresponding to each sub-channel; for the excessive pollutants in each sub-channel in the slow-flow management sub-channel group, determine the aquatic plants corresponding to the excessive pollutants according to the chemical properties of the excessive pollutants; Determine the total content of pollutants exceeding the standard in each sub-channel of the slow-flow management sub-channel group, and determine the planting area of ​​aquatic plants corresponding to the pollutants exceeding the standard according to the ratio of the content of the pollutants exceeding the standard to the total content of the pollutants exceeding the standard and the area of ​​the ecological management area; Determine a treatment plan corresponding to each sub-channel in the slow-flow treatment sub-channel group according to the aquatic plants corresponding to the excessive pollutants and the corresponding planting area of ​​the aquatic plants; According to the management scheme corresponding to each sub-channel in the rapids management sub-channel group and the management scheme corresponding to each sub-channel in the slow flow management sub-channel group, the management scheme corresponding to each sub-channel in the sub-channel group to be managed is determined.

2. The ecological management system for rivers according to claim 1 is characterized in that: The information set corresponding to each river channel is obtained by the following steps: According to a preset standard length, the distribution map of the target river channel is divided in an equidistant manner to obtain a plurality of distribution sub-maps corresponding to the target river channel; Determining a plurality of sub-rivers corresponding to the target river channel according to a plurality of distribution sub-maps corresponding to the target river channel; Determine the location information of each sub-river channel according to the distribution map of the target river channel and the distribution sub-map corresponding to each sub-river channel in the plurality of sub-river channels; According to the flow direction of the target river channel, each of the multiple sub-rivers corresponding to the target river channel is numbered in sequence to obtain number information corresponding to each sub-river channel; The location information of each sub-channel and the corresponding number information are combined to obtain an information set corresponding to each sub-channel.

3. The ecological management system for rivers according to claim 2 is characterized in that: Also includes: A plurality of image acquisition devices are arranged on both sides of a plurality of sub-channels in a target channel, wherein an image acquisition device is arranged on both sides of each of the plurality of sub-channels, and the two image acquisition devices corresponding to each sub-channel are respectively used to acquire images of the corresponding sub-channel at the same target time point, and obtain an image set corresponding to each sub-channel at the target time point; and the image set is sent to a background processing device; The background processing device is also used to input the image set corresponding to each sub-river channel into the image fusion model to obtain a panoramic view corresponding to each sub-river channel; perform floating plant coverage identification on the panoramic view corresponding to each sub-river channel to obtain the floating plant coverage corresponding to each sub-river channel; for the floating plant coverage corresponding to each sub-river channel, if there is a sub-river channel with a floating plant coverage greater than a preset safety coverage rate, the sub-river channel with a floating plant coverage greater than the preset safety coverage rate is added to the floating plant removal sub-river channel group, and if there is a sub-river channel with a floating plant coverage less than the preset safety coverage rate, it is added to the sub-river channel group to be monitored; According to the information set corresponding to each sub-channel, a clearing signal including the position information of each sub-channel in the sub-channel group for clearing floating plants is generated, and the clearing signal is sent to the clearing terminal to control the staff corresponding to the clearing terminal to clear floating plants from each sub-channel in the sub-channel group for clearing floating plants according to the position information of each sub-channel in the sub-channel group for clearing floating plants; The sub-channels in the sub-channel group for clearing floating plants that have completed the clearing of floating plants are added to the sub-channel group to be monitored to obtain an updated sub-channel group to be monitored; and the floating plant coverage rate of each sub-channel in the sub-channel group to be monitored is identified according to a preset standard time period.

4. The ecological management system for rivers according to claim 3 is characterized in that: The farmland area along the banks of each sub-river channel is determined by the following steps: Input each environmental image in the environmental image set corresponding to each sub-river channel into the farmland segmentation network to obtain a plurality of segmented images corresponding to each environmental image, wherein the segmented images include farmland segmentation images and non-farmland segmentation images; combine the farmland segmentation images corresponding to each environmental image to obtain a farmland segmentation image set corresponding to each environmental image; According to each farmland segmentation image in the farmland segmentation image set corresponding to each environmental image, an image area corresponding to each farmland segmentation image is determined, and the image areas corresponding to each farmland segmentation image in the farmland segmentation image set corresponding to each environmental image are added together to obtain a total area of ​​the farmland segmentation image corresponding to each environmental image; The scale corresponding to each environmental image in the environmental image set corresponding to each sub-river channel is obtained; and the farmland area along both sides of each sub-river channel is determined according to the scale corresponding to each environmental image and the total area of ​​the farmland segmentation image corresponding to each environmental image.

Images