Rapid cleaning and resource utilization method suitable for shoal channel sludge

Abstract

The invention discloses a rapid cleaning and resource utilization method suitable for shoal channel sludge. The method comprises the steps that S1, the shoal channel is scanned, and a sludge distribution real-time dynamic three-dimensional model is obtained; S2, dredging operation is conducted on the shoal channel through dredging equipment, and collected sludge is conveyed and transferred to a temporary storage pool on the shore through a pipeline; s3, substances in the sludge are separated through a temporary storage pool, clean water is used for irrigation, and the sludge is mineralized; and S4, the mineralized sludge forms a high-strength building component of the infrastructure around the shoal channel. According to the method, rapid cleaning and resource utilization of the shoal channel sludge are achieved, the ecological environment is protected, and the channel transportation capacity and the surrounding area construction level are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of silt dredging and utilization, and particularly relates to a method for rapid cleaning and resource utilization of silt in shallow waterway channels. Background Art

[0002] As a key part of water transportation, the smoothness of shallow waterway channels directly affects transportation efficiency and costs. However, shallow waterway channels are often troubled by silt accumulation problems. The continuous deposition of silt will cause the waterway to become shallower, restrict the passage of ships, increase transportation risks and costs, and even block the waterway in severe cases, hindering the normal progress of water transportation. At the same time, the presence of a large amount of silt will also have a negative impact on the surrounding ecological environment, disrupting the balance of the aquatic ecosystem.

[0003] In traditional silt cleaning technologies for shallow waterway channels, the commonly used methods are mainly mechanical excavation and hydraulic dredging. Mechanical excavation usually uses equipment such as dredgers, and directly grabs silt through mechanical arms or grabs. The advantage of this method is that the operation is relatively simple, and when the amount of silt is small and the waterway conditions are relatively open, a certain amount of silt can be quickly cleaned. However, it also has obvious disadvantages. It has a high dependence on equipment, is limited in operation in complex terrains and narrow waterways; the excavation process is likely to disturb the surrounding water body, causing the water to become turbid and affecting the survival of aquatic organisms; moreover, the cleaning efficiency is low, and it is difficult to cope with large-scale silt accumulation. Hydraulic dredging is to use a high-pressure water gun to disperse the silt and then suck it away through a slurry pump. This method has a certain degree of flexibility and can clean some areas that are difficult for machinery to reach. However, it consumes a large amount of water resources, and the treatment of the dredged silt is difficult. If not properly treated, it will cause secondary pollution, and at the same time, the useful components in the silt cannot be effectively utilized.

[0004] With the progress of technology, there have been some improvements in the existing technology for silt cleaning in shallow waterway channels. In terms of silt cleaning equipment, dredging is carried out by a dredger with a relatively high degree of automation. However, the optimal silt dredging route and the order of dredged silt cannot be accurately determined, resulting in time waste and low efficiency. Summary of the Invention

[0005] Based on the above, the present application discloses a method for rapid cleaning and resource utilization of silt in shallow waterway channels, which solves the above-mentioned existing technical problems and includes:

[0006] S1. Scan the shallow waterway channel to obtain a real-time dynamic three-dimensional model of the silt distribution, identify the distribution areas and contents of different components in the silt, and the compactness and fluidity of the silt;

[0007] S2. Based on the real-time dynamic three-dimensional model of the silt distribution, use silt cleaning equipment to carry out silt cleaning operations in the shallow waterway channel, and transfer the collected silt to a temporary storage pool on the shore through a pipeline;

[0008] S3. Separate the substances in the silt through a temporary storage pool, use the separated clear water for peripheral landscape irrigation, and send the separated sludge into a sealed fermentation tank for mineralization;

[0009] S4. After mineralization, the sludge forms high-strength building components for the infrastructure around the shallow beach waterway, realizing the resource utilization of the silt.

[0010] Preferably, in S1, a high-resolution real-time dynamic three-dimensional model of the silt distribution is obtained to identify the distribution areas and contents of different components in the silt, specifically:

[0011] Obtain the reflection spectral data of the silt in different bands through a multispectral imager. The formula is: , where is the content of the th component, is the reflectance of the th band, is the characteristic coefficient, is the total number of bands, calculate the contents of different components in the silt; emit a laser beam through lidar and receive the reflected light to obtain distance information , combined with the position coordinates of the lidar, construct a three-dimensional coordinate through the triangulation principle. The formula is , , , where is the pitch angle of the laser beam, is the azimuth angle of the laser beam, obtain a high-resolution real-time dynamic three-dimensional model of the silt distribution, and determine the distribution areas of different components according to the component content data.

[0012] Preferably, in S1, obtain the dense fluidity of the silt, specifically:

[0013] Emit an ultra-wideband pulse signal through radar, receive the reflected echo signal, perform time-frequency analysis on the echo signal, and obtain the delay information and Doppler frequency shift information of the signal, determine the depth of the silt layer. The formula is: , where is the propagation speed of electromagnetic waves in the medium, combined with the spatial position information of the radar, determine the position coordinates of the silt at different depths; collect the acceleration data of the device at different positions in real time, according to the change rate of the acceleration data, combined with the depth of the silt layer, calculate the dense fluidity index of the silt. The formula is: The value of the dense fluidity index of the silt The larger value indicates stronger fluidity and lower density. Calculate the density-fluidity index of the silt in different distribution areas to identify the density-fluidity of the silt in different distribution areas.

[0014] Preferably, after obtaining the real-time dynamic three-dimensional model of the silt distribution in S2, the steps for quickly clearing the silt in the shoal channel are as follows:

[0015] S2.1. Analyze the real-time dynamic three-dimensional model of the silt distribution to obtain the silt volume in different areas, calculate the distance between the silt volume in different areas and the main navigation area of the ship, and obtain the target dredging area;

[0016] S2.2. Construct the channel state space and plan the cleaning path of the target dredging area through intelligent algorithms;

[0017] S2.3. Prioritize the cleaning order of the target dredging area through the analytic hierarchy process;

[0018] S2.4. Take real-time photos and collect data of the cleaning area from different angles, identify the areas that have not been thoroughly cleaned, and conduct secondary cleaning.

[0019] Preferably, in S2.1, when analyzing the real-time dynamic three-dimensional model of the silt distribution, divide the three-dimensional model into multiple voxel units, and based on the density information in the model Compare with the preset silt density threshold If , determine that the voxel unit is a silt voxel, calculate the silt volume in different areas , and the formula is: , where is the set of all silt voxel units in the target area; when calculating the distance between the silt volume in different areas and the main navigation area of the ship, determine the boundary range of the main navigation area according to the ship's navigation trajectory line, and the coordinate point set of the ship's navigation trajectory line in three-dimensional space is , the centroid coordinate of the silt in the area is , calculate the distance between the silt in the area and the ship's navigation trajectory line, and the formula is: , calculate the distance from the centroid of the silt in the area to each point on the boundary of the main navigation area, and take the minimum value as the distance between the silt in the area and the main navigation area of the ship. Combine the silt volume and distance information to calculate the comprehensive influence index of each area, and the formula is: , where is the maximum value among all the silt volumes in all areas, is the maximum value among the distances from the silt in all areas to the key positions of the channel, is the volume weight coefficient, is the distance weight coefficient, and the area with the largest value is selected as the target dredging area.

[0020] Preferably, in S2.2, the state space includes the state of the cleaning equipment, the silt distribution, and the channel environment. The intelligent algorithm learns in the state space and selects a cleaning action according to the current state, including the moving direction of the cleaning equipment or the adjustment of the cleaning depth. The reward mechanism is used to guide the intelligent algorithm to develop towards the optimal path. If the selected action can efficiently clean the silt in the key area and avoid the channel obstacles, a positive reward will be obtained; otherwise, a negative reward will be obtained. After multiple iterative learning, the optimal cleaning path is planned.

[0021] Preferably, when preferentially planning the cleaning order in S2.3, the influence degree on the channel, the difficulty of silt cleaning, and the cleaning cost are used as the evaluation indexes of the decision-making layer through the analytic hierarchy process. According to historical experience and actual data, the relative importance weights of each index are determined, and each key area is scored under different indexes. The comprehensive score of each area is calculated, and the cleaning order is preferentially planned in the order from high to low score, and the area with the greatest influence on the channel and high cleaning cost performance is cleaned.

[0022] Preferably, in S2.4, the area that has not been cleaned thoroughly is identified, specifically:

[0023] Optical image data and sensor measurement data of the silt area are obtained to form a multi-dimensional data set;

[0024] For the optical image data, the feature vectors are extracted from the real-time collected image and the corresponding area image rendered from the original three-dimensional model by a convolutional neural network and , and the feature similarity is calculated. The formula is: , where is the dimension of the feature vector. When is lower than the preset similarity threshold , there is an area that has not been cleaned thoroughly, and the first uncleared area is obtained;

[0025] For the sensor measurement data, the real-time depth data is collected, and the depth data corresponding to the original three-dimensional model is . The data difference is calculated. , and the difference value is obtained through the data difference . The formula is: , where is the set depth difference threshold. Through the difference value Judge the difference situation of each measurement point, and conduct statistical analysis on the judgment results of the entire area. When the proportion of the number of points satisfying the difference value =1 in the total number of measurement points exceeds the set difference threshold ratio the area is an area that has not been thoroughly cleaned, and the second uncleared area is obtained;

[0026] Take the union of the first uncleared area and the second uncleared area, identify the area that has not been thoroughly cleaned, and conduct secondary cleaning.

[0027] Preferably, the collected silt is quickly transferred to a temporary storage pool on the shore through a built-in pipeline conveying system for silt treatment, specifically:

[0028] S3.1. Pump the silt in the temporary storage pool into a special microwave reaction cavity, turn on the microwave generator, and let the water molecules in the silt vibrate rapidly to generate heat under the action of microwaves. The violent movement of the water molecules impacts the silt particles, destroying the connection structure and surface charge balance between the particles, and dispersing the tightly bound silt particles;

[0029] S3.2. The silt pretreated by microwaves flows into an electrochemical separation tank. An electric field is applied to the electrodes through a power supply. The metal ions in the silt migrate directionally to the corresponding electrodes, and the organic pollutants undergo redox reactions on the electrode surfaces. The metal ions and organic pollutants are separated by the flow guiding plates arranged in the tank;

[0030] S3.3. Transport the liquid after electrochemical separation to a membrane concentration device, selectively allow water molecules to pass through according to molecular size and charge properties, and use pressure to drive the water molecules in the liquid to pass through the membrane to form clear water, while other solutes and impurities are intercepted and concentrated;

[0031] S3.4. The separated clear water is subjected to water quality detection. If it meets the surface water environmental quality standard, it is transported through a pipeline to the surrounding landscape irrigation system for reuse, and the concentrated sludge is collected and transported to a sealed fermentation tank for mineralization.

[0032] Preferably, the mineralized sludge is screened to remove large particle impurities and incompletely reacted substances, ground, additives are added, and then mixed and stirred to form building components. The formed building components are transferred to a curing room for curing to form high-strength building components.

[0033] Compared with the prior art, the technical solution of the present application has the following technical effects:

[0034] By establishing a high-resolution real-time dynamic three-dimensional model of the silt distribution, the present invention can identify the distribution areas and contents of different components in the silt, effectively identify the compact fluidity of the silt, cover a wider area, comprehensively understand the silt distribution in the waterway, including depth and range information, and enable the dredging equipment to make adaptive adjustments according to the silt characteristics, thereby improving the dredging efficiency.

[0035] The present invention uses an intelligent algorithm to plan the cleaning path and gives priority to planning the cleaning sequence through the analytic hierarchy process. In the state space constructed including the state of the cleaning equipment, the silt distribution, and the waterway environment, the intelligent algorithm learns the optimal cleaning path through a reward mechanism, continuously adjusts the cleaning actions according to the actual situation, avoids blind operation, and improves the cleaning efficiency. The cleaning sequence is determined by the analytic hierarchy process, comprehensively considering factors such as the impact degree on the waterway, the silt cleaning difficulty, and the cleaning cost, giving priority to cleaning the area with the greatest impact on the waterway and high cleaning cost performance, and reasonably allocating the dredging resources.

[0036] In the silt treatment link, the present invention adopts microwave pretreatment to generate heat by rapidly vibrating water molecules in the silt, destroy the silt particle structure, and improve the treatment efficiency; through electrochemical enhanced separation, it can promote the directional migration and separation of metal ions and organic pollutants in the silt, effectively remove harmful substances, and the separation process has high selectivity and separation efficiency; the membrane concentration technology further treats the separated liquid to make the clear water meet the surface water environmental quality standard for reuse in the surrounding landscape irrigation, realizing the recycling of water resources, and at the same time, the concentrated sludge is subjected to subsequent mineralization treatment.

[0037] The present invention prepares the mineralized sludge into high-strength building components for the infrastructure construction around the shoal waterway, realizes the resource utilization of the silt, reduces the exploitation of natural building materials, protects natural resources, can also be applied to the infrastructure construction around the shoal waterway, enhances the stability and safety of the waterway, and realizes a win-win situation of economic and environmental benefits.

[0038] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, so as to be implemented in accordance with the content of the specification, and in order to make the above and other purposes, features, and advantages of the present application more obvious and understandable, the following will be described in detail with reference to the preferred embodiments of the present application and the accompanying drawings.

[0039] According to the following detailed description of the specific embodiments of the present application in combination with the accompanying drawings, those skilled in the art will understand the above and other purposes, advantages, and features of the present application more clearly. Brief Description of the Drawings

[0040] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts do not necessarily draw according to the actual proportion.

[0041] Figure 1 It is a flowchart of a method for rapid cleaning and resource utilization of silt in shallow channel

[0042] Figure 2 It is a flowchart of rapid cleaning of silt in shallow channel

[0043] Figure 3 It is a flowchart for identifying the incomplete cleaning of silt area in shallow channel

[0044] Figure 4 It is a flowchart of resource utilization of silt in shallow channel

[0045] Figure 5 It is a schematic diagram of silt in shallow channel Detailed implementation mode

[0046] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. In the following description, specific details such as specific configurations and components are provided only to help fully understand the embodiments of the present application. Therefore, those skilled in the art should clearly understand that various changes and modifications can be made to the embodiments described here without departing from the scope and spirit of the present application. In addition, descriptions of known functions and structures are omitted for clarity and conciseness.

[0047] It should be understood that the "one embodiment" or "the present embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, the "one embodiment" or "the present embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner.

[0048] In addition, the present application may repeat reference numerals and / or letters in different examples. This repetition is for the purpose of simplicity and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed.

[0049] In this text, the term "and / or" is merely a description of the associated relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, B exists alone, and both A and B exist simultaneously. The term " / and" in this text describes another associated object relationship, indicating that there can be two relationships. For example, A / and B can represent: A exists alone, and both A and B exist alone. Additionally, the character " / " in this text generally indicates that the associated objects before and after are in an "or" relationship.

[0050] In this text, the term "at least one" is merely a description of the associated relationship between associated objects, indicating that there can be three relationships. For example, at least one of A and B can represent: A exists alone, both A and B exist simultaneously, and B exists alone.

[0051] It should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion.

[0052] Embodiment 1

[0053] This embodiment mainly describes a method for rapid silt cleaning and resource utilization in shallow waterway channels, as Figure 1 shown, including:

[0054] S1. Scan the shallow waterway channel to obtain a real-time dynamic three-dimensional model of the silt distribution, and identify the distribution areas and contents of different components in the silt and the compact fluidity of the silt;

[0055] S2. Based on the real-time dynamic three-dimensional model of the silt distribution, use silt cleaning equipment to perform silt cleaning operations in the shallow waterway channel, and transfer the collected silt to a temporary storage pool on the shore through pipelines;

[0056] S3. Separate the substances in the silt through the temporary storage pool, use the separated clear water for surrounding landscape irrigation, and put the separated sludge into a sealed fermentation tank for mineralization;

[0057] S4. The mineralized sludge forms high-strength building components for the infrastructure around the shallow waterway channel, realizing the resource utilization of the silt.

[0058] Furthermore, in S1, to obtain a real-time dynamic three-dimensional model of the silt distribution with high resolution and identify the distribution areas and contents of different components in the silt, specifically:

[0059] Reflectance spectral data of the silt in different bands are obtained by a multispectral imager. The formula is as follows: , where is the content of the th component, is the reflectance at the th band, is the characteristic coefficient, is the total number of bands. The contents of different components in the silt are calculated. Laser beams are emitted by a lidar and the reflected light is received to obtain distance information . Combining with the position coordinates of the lidar, a three-dimensional coordinate is constructed through the triangulation principle. The formula is , , , where is the pitch angle of the laser beam, is the azimuth angle of the laser beam. A real-time dynamic three-dimensional model of the silt distribution with high resolution is obtained, and the distribution areas of different components are determined according to the component content data.

[0060] Furthermore, in S1, the compact fluidity of the silt is obtained as follows:

[0061] Ultra-wideband pulse signals are emitted by a radar, and the reflected echo signals are received. Time-frequency analysis is performed on the echo signals to obtain the delay information and Doppler frequency shift information of the signals, and the depth of the silt layer is determined. The formula is: , where is the propagation speed of electromagnetic waves in the medium. Combining with the spatial position information of the radar, the position coordinates of the silt at different depths are determined. Acceleration data of the device at different positions are collected in real time . According to the change rate of the acceleration data, combining with the depth of the silt layer, the compact fluidity index of the silt is calculated. The formula is: . The larger the value of the compact fluidity index of the silt, the stronger the fluidity and the lower the compactness. The compact fluidity indexes of the silt in different distribution areas are calculated to realize the identification of the compact fluidity of the silt in different distribution areas.

[0062] Furthermore, as shown in Figure 2 , after obtaining the real-time dynamic three-dimensional model of the silt distribution in S2, the steps for rapid shoal channel silt cleaning are as follows:

[0063] S2.1. Analyze the real-time dynamic three-dimensional model of the silt distribution, obtain the silt volume in different areas, calculate the distance between the silt volume in different areas and the main navigation area of the ship, and obtain the target dredging area;

[0064] S2.2. Prioritize the cleaning sequence of the target dredging area through the analytic hierarchy process;

[0065] S2.3. Construct the channel state space and plan the cleaning path of the target dredging area through intelligent algorithms;

[0066] S2.4. Take real-time photos and collect data of the cleaning area from different angles, identify the areas that have not been thoroughly cleaned, and conduct secondary cleaning.

[0067] Furthermore, in S2.1, when analyzing the real-time dynamic three-dimensional model of the silt distribution, divide the three-dimensional model into multiple voxel units, and through the density information in the model Compare with the preset silt density threshold If , determine that the voxel unit is a silt voxel, calculate the silt volume in different areas , the formula is: , where is the set of all silt voxel units in the target area; when calculating the distance between the silt volume in different areas and the main navigation area of the ship, determine the boundary range of the main navigation area according to the ship's navigation trajectory line, and the coordinate point set of the ship's navigation trajectory line in three-dimensional space is , the centroid coordinate of the silt in the area is , calculate the distance between the silt in the area and the ship's navigation trajectory line , the formula is: , calculate the distance from the centroid of the silt in the area to each point on the boundary of the main navigation area, and take the minimum value as the distance between the silt in the area and the main navigation area of the ship. Combine the silt volume and distance information to calculate the comprehensive influence index of each area , the formula is: , where is the maximum value among all the silt volumes in all areas, is the maximum value among the distances from the silt in all areas to the key positions of the channel, is the volume weight coefficient, is the distance weight coefficient, and select The area with the largest value as the target dredging area.

[0068] Further, when prioritizing the cleaning order in S2.2, the degree of impact on the waterway, the difficulty of silt cleaning, and the cleaning cost are used as evaluation indicators at the decision-making level through the analytic hierarchy process. The relative importance weights of each indicator are determined based on historical experience and actual data. Each key area is scored under different indicators, and the comprehensive score of each area is calculated. The cleaning order is prioritized in descending order of the scores, and the area with the greatest impact on the waterway and high cleaning cost performance is cleaned first.

[0069] Further, in S2.3, the state space includes the state of the cleaning equipment, the silt distribution, and the waterway environment. The intelligent algorithm learns in the state space and selects a cleaning action according to the current state, including the moving direction of the cleaning equipment or the adjustment of the cleaning depth. The reward mechanism is used to guide the intelligent algorithm to develop towards the optimal path. If the selected action can efficiently clean the silt in the key area and avoid the waterway obstacles, a positive reward will be obtained; otherwise, a negative reward will be obtained. After multiple iterative learning, the optimal cleaning path is planned.

[0070] Further, in S2.4, the areas that have not been thoroughly cleaned are identified, as Figure 3 shown specifically as:

[0071] Optical image data and sensor measurement data of the silt area are obtained to form a multi-dimensional data set;

[0072] For the optical image data, feature vectors are extracted from the real-time collected images and the corresponding area images rendered from the original 3D model through a convolutional neural network and , and the feature similarity is calculated. The formula is: , where is the dimension of the feature vector. When is lower than the preset similarity threshold , there is an area that has not been thoroughly cleaned, and the first uncleaned area is obtained;

[0073] For the sensor measurement data, real-time depth data is collected, and the depth data corresponding to the original 3D model is . The data difference is calculated, . Through the data difference , the difference value is obtained. The formula is: , where is the set depth difference threshold. The difference situation of each measurement point is judged through the difference value . The judgment results of the entire area are statistically analyzed. When the difference value =The ratio of the number of points to the total number of measurement points exceeds the set difference threshold ratio When , the area is not cleaned completely, and the second uncleared area is obtained;

[0074] The first uncleared area and the second uncleared area are combined to identify the uncleared area and perform secondary cleaning.

[0075] Furthermore, the collected sludge is quickly transferred to a temporary storage pool on the shore through a built-in pipeline transportation system for sludge treatment, such as Figure 4 As shown, specifically:

[0076] S3.1. Pump the sludge from the temporary storage tank into a specially designed microwave reaction chamber. Turn on the microwave generator, causing the water molecules in the sludge to vibrate rapidly under the action of microwaves, generating heat. The violent movement of the water molecules impacts the sludge particles, destroying the interconnected structure and surface charge balance between the particles, causing the tightly bound sludge particles to disperse.

[0077] S3.2. The microwave-pretreated sludge flows into an electrochemical separation tank. A power supply applies an electric field to the electrodes, causing metal ions in the sludge to migrate toward the corresponding electrodes. Organic pollutants undergo redox reactions on the electrode surfaces, and the metal ions and organic pollutants are separated by guide plates installed in the tank.

[0078] S3.3. The electrochemically separated liquid is transported to a membrane concentration device, which selectively allows water molecules to pass through based on their size and charge. Pressure is used to drive the water molecules in the liquid through the membrane to form clear water, while other solutes and impurities are retained and concentrated.

[0079] S3.4. The separated clean water undergoes water quality testing. If it meets the surface water environmental quality standards, it will be transported through pipelines to the surrounding landscape irrigation system for reuse. The concentrated sludge will be collected and transported to a sealed fermentation tank for mineralization.

[0080] Furthermore, the mineralized sludge is screened to remove the large particles of impurities and incompletely reacted substances, and then ground. After adding additives, it is mixed and stirred to form building components. The formed building components are transferred to a curing room for curing to form high-strength building components.

[0081] This embodiment describes in detail that the present application uses multiple means to accurately obtain silt information to provide a reliable basis for dredging; intelligently plans the dredging path and sequence to improve dredging efficiency and reduce costs; adopts advanced processing technology to separate substances in the silt to achieve clean water reuse and sludge mineralization; and makes the mineralized sludge into high-strength building components, turning waste into treasure, which is used for infrastructure construction around the waterway, realizing the rapid cleaning and resource utilization of silt in shallow waterways, protecting the ecological environment, and improving the waterway transportation capacity and the construction level of the surrounding areas.

[0082] Based on Embodiment 1, this embodiment details the implementation process of the dredging operation of the present application, specifically as follows:

[0083] Obtain a certain shoal channel area for dredging operation, such as Figure 5 As shown, use a multispectral imager to conduct an all-round scan of the shoal channel, obtain the reflection spectral data of different bands, and combine the spectral characteristics of different substances in each band to preliminarily determine the distribution areas of various components in the silt; use lidar technology to scan the channel, measure the time from the laser emission to the reflection, and combine the triangulation principle to calculate the three-dimensional coordinates of each measurement point on the silt surface, and construct a high-resolution real-time dynamic three-dimensional model of the silt distribution to present the distribution form of the silt in the channel.

[0084] Analyze the constructed real-time dynamic three-dimensional model of the silt distribution, divide the silt area in the channel into multiple sub-areas, calculate the silt volume of each sub-area through model data processing, and use the Euclidean distance algorithm to calculate the shortest distance between each sub-area and the main ship passage area through the spatial coordinates of the area in the three-dimensional model and the boundary coordinates of the main ship passage area; comprehensively consider the silt volume and the distance from the main ship passage area to formulate a screening criterion. Prioritize selecting areas with a larger silt volume and a shorter distance from the main ship passage area as the target dredging areas. After screening, it is determined that Target Area 1, Target Area 2, and Target Area 3 are the target dredging areas, and the silt volume and the distance from the main ship passage area are as shown in the following table:

[0085] Area number Silt volume (cubic meters) Distance from the main ship passage area (meters) Target area 1 205.3 12.5 Target area 3 198.6 8.3 Target area 2 550.6 7.2

[0086] Through the analytic hierarchy process, considering the three key evaluation indicators of the impact on the channel, the difficulty of silt cleaning, and the cleaning cost, as well as the silt volume of Target Dredging Area 3 and the distance from the main ship passage area obtained, it is determined that Target Area 3 is given priority for treatment; according to the cleaning equipment status, silt distribution, and channel environment of Target Area 3, select a cleaning action including the moving direction of the cleaning equipment or the adjustment of the cleaning depth, and use a reward mechanism to guide the intelligent algorithm to develop towards the optimal path, and plan the optimal cleaning path; for Target Area 3, cut in straight from the northwest corner and advance in a "zigzag" shape towards the southeast corner; Target Area ① starts from the east edge and cleans in a spiral shape towards the inner circle; Target Area ② starts from the southwest corner and cleans along the diagonal towards the northeast corner.

[0087] This embodiment details the dredging operation plan, realizes the efficient and orderly progress of the shoal channel dredging work, ensures the smoothness of the channel and the safe passage of ships, and can be flexibly adjusted and optimized according to the actual situation.

[0088] Based on Embodiment 1, this embodiment details the implementation process of the resource utilization of the present application, specifically as follows:

[0089] Through the dredger transmission pipeline, taking target area 3 as an example, the cleared silt is quickly transferred to a large storage pool pre-built on the shore at a stable flow rate; the main body of the storage pool is built with high-strength, corrosion-resistant reinforced concrete structure, and a double-layer high-density polyethylene anti-seepage membrane is laid inside to prevent pollutants in the silt from leaking into the surrounding soil and groundwater.

[0090] The sludge is extracted from the storage pool and pumped into a special microwave reaction chamber. The operating frequency of the microwave generator is set to 2450MHz and the output power is 100 kilowatts. During the treatment process, the residence time of the sludge in the reaction chamber is precisely controlled to 35 minutes. With the action of microwaves, the water molecules in the sludge vibrate rapidly, generating frictional heat, causing the sludge temperature to quickly rise to 85°C within 15 minutes and remain stable for the next 20 minutes. The high temperature environment effectively destroys the chemical bonds and physical connection structures between the sludge particles, breaks the colloidal stability of the sludge, and disperses the originally tightly agglomerated particles. After microwave pretreatment, the dehydration performance of the sludge is significantly improved, and the subsequent treatment efficiency is increased by about 35%.

[0091] The microwave-pretreated sludge flows into the electrochemical separation tank. During the separation process, a 5.5V DC voltage is applied to the electrodes through a power supply, maintaining a stable current density of 12mA / cm². To optimize the separation effect, special guide plates and stirring devices are installed in the separation tank. The shape and angle of the guide plates are carefully designed to guide the sludge to form a specific flow path in the tank, ensuring full contact between the sludge and the electrodes. The stirring device stirs at a constant speed to ensure that the various components in the sludge migrate and react evenly under the action of the electric field.

[0092] The liquid after electrochemical separation is transported to the membrane concentration device. During the membrane concentration process, a high-pressure pump applies pressure to the liquid, driving the water molecules in the liquid through the RO membrane under pressure, while other solutes and impurities are intercepted and concentrated. After membrane concentration treatment, the separated clear water meets the Class III water standard of the surface water environmental quality standard and is directly reused for surrounding landscape irrigation or industrial cooling water. The concentrated sludge is transported to a sealed fermentation tank for mineralization.

[0093] During the fermentation process, a mineralizer is added to the sludge, and the temperature and humidity in the fermenter are controlled to form a mineral phase with gelling properties. The mineralized sludge is screened to remove residual large particle impurities therein, such as stones and branches. The screened sludge is sent to a grinding device, and various additives are added to the ground sludge powder, including a reinforcing agent, a binder, and a waterproof agent. The reinforcing agent is basalt fiber with surface treatment, its length is 6 - 12 mm, and the addition amount is 6% of the mass of the sludge powder, which can effectively enhance the tensile strength and toughness of building components. The binder is a high-performance epoxy resin, and the addition amount is 8% to ensure the tight combination of the sludge with other components and improve the overall strength of the components. The waterproof agent is an organosilane material, and the addition amount is 4%, which forms a waterproof protective film on the surface of the building components to enhance their waterproof performance.

[0094] The material with additives added is put into a high-speed mixing and stirring machine and stirred at a speed of 1200 revolutions per minute for 35 minutes to uniformly mix various components to form a mixture with good plasticity and fluidity, and then slope protection bricks and ecological blocks are made. The formed building components are transferred to a curing chamber for curing to form high-strength building components, which are applied to aspects such as slope protection, retaining walls, and footpath bricks.

[0095] This embodiment details the resource utilization of sludge, effectively reducing the dependence on natural building materials and at the same time reducing the discharge of construction waste, with significant environmental and economic benefits.

[0096] The above is only the preferred embodiment of the present invention, and it does not limit the protection scope of the present invention. For those skilled in the art, the present invention can have various changes and modifications; all changes, modifications, substitutions, integrations, and parameter changes made to these embodiments by conventional substitutions or capable of achieving the same functions without departing from the principle and spirit of the present invention fall within the protection scope of the present invention.

Claims

1. A method for rapid cleaning and resource utilization of silt in shallow waterway channels, characterized in that, Including: S1. Scan the shoal channel to obtain a real-time dynamic three-dimensional model of the silt distribution, identify the distribution areas and contents of different components in the silt, and the compact fluidity of the silt; S2. Based on the real-time dynamic three-dimensional model of the silt distribution, use dredging equipment to carry out dredging operations in the shoal channel, and transfer the collected silt to a temporary storage pool on the shore through a pipeline; S3. Separate the substances in the silt through the temporary storage pool, use the separated clear water for peripheral landscape irrigation, and put the separated sludge into a sealed fermentation tank for mineralization; S4. After mineralization, the sludge forms high-strength building components for the infrastructure around the shoal channel, realizing the resource utilization of the silt.

2. The method for rapid silt cleaning and resource utilization applicable to shoal channels according to claim 1, characterized in that In S1, to obtain a high-resolution real-time dynamic three-dimensional model of the silt distribution and identify the distribution areas and contents of different components in the silt, specifically: The reflectance spectral data of the silt in different bands are obtained by a multispectral imager, and the formula is: , where is the content of the th component, is the reflectance of the th band, is the characteristic coefficient, is the total number of bands, and the contents of different components in the silt are calculated; a laser beam is emitted by a lidar and the reflected light is received to obtain the distance information , combined with the position coordinates of the lidar, a three-dimensional coordinate is constructed by the principle of triangulation, and the formula is , , , where is the elevation angle of the laser beam, is the azimuth angle of the laser beam, a high-resolution real-time dynamic three-dimensional model of the silt distribution is obtained, and the distribution areas of different components are determined according to the component content data.

3. A method for rapid dredging and resource utilization of silt in shoal channels according to claim 1, characterized in that, In S1, to obtain the compact fluidity of the silt, specifically: By transmitting an ultra-wideband pulse signal through radar, receiving the reflected echo signal, performing time-frequency analysis on the echo signal, and obtaining the delay information of the signal and Doppler frequency shift information , determine the depth of the silt layer. The formula is: , where is the propagation speed of electromagnetic waves in the medium. Combining the spatial position information of the radar, determine the position coordinates of the silt at different depths; Real-time collect the acceleration data of the device at different positions , according to the change rate of the acceleration data , combining the depth of the silt layer , calculate the silt compactness and fluidity index . The formula is: . The larger the value of the silt compactness and fluidity index , the stronger the fluidity and the lower the compactness. Calculate the silt compactness and fluidity index of different distribution areas to realize the identification of the silt compactness and fluidity in different distribution areas.

4. A method for rapid cleaning and resource utilization of silt in shallow waterway channels according to claim 1, characterized in that, After obtaining the real-time dynamic three-dimensional model of the silt distribution in S2, the steps for quickly cleaning the silt in the shoal channel are as follows: S2.

1. Analyze the real-time dynamic three-dimensional model of the silt distribution, obtain the silt volume in different areas, calculate the distance between the silt volume in different areas and the main navigation area of the ship, and obtain the target dredging area; S2.

2. Construct a channel state space, and plan the cleaning path of the target dredging area through an intelligent algorithm; S2.

3. Prioritize the cleaning order of the target dredging area through the analytic hierarchy process; S2.

4. Take real-time photos and collect data of the cleaning area from different angles, identify the areas that are not thoroughly cleaned, and conduct secondary cleaning.

5. A method for rapid cleaning and resource utilization of silt in shallow waterway channels according to claim 4, characterized in that, In S2.1, when analyzing the real-time dynamic three-dimensional model of the silt distribution, the three-dimensional model is divided into multiple voxel units, and through the density information in the model and the preset silt density threshold are compared. If , it is determined that the voxel unit is a silt voxel, and the silt volume in different regions is calculated . The formula is: , where is the set of all silt voxel units in the target area; when calculating the distance between the silt volume in different regions and the main navigation area of the ship, the boundary range of the main navigation area is determined according to the ship's navigation track line, and the coordinate point set of the ship's navigation track line in three-dimensional space is , the centroid coordinate of the silt in the area is , and the distance between the area silt and the ship's navigation track line is calculated . The formula is: . Calculate the distance from the centroid of the area silt to each point on the boundary of the main navigation area, and take the minimum value as the distance between the area silt and the main navigation area of the ship. Combining the silt volume and distance information, calculate the comprehensive influence index of each area . The formula is: , where is the maximum value among all the silt volumes in all regions, is the maximum value among the distances from all the silt in all regions to the key positions of the waterway, is the volume weight coefficient, is the distance weight coefficient, and select the area with the largest value as the target dredging area.

6. A method for rapid silt cleaning and resource utilization applicable to shoal channels according to claim 4, characterized in that, In S2.2, the state space includes the state of the cleaning equipment, the silt distribution, and the channel environment. The intelligent algorithm learns in the state space, selects a cleaning action according to the current state, including the moving direction of the cleaning equipment or the adjustment of the cleaning depth, and guides the intelligent algorithm to develop towards the optimal path through a reward mechanism. If the selected action can efficiently clean the silt in the key area and avoid channel obstacles, a positive reward will be obtained; otherwise, a negative reward will be obtained. After multiple iterative learning, the optimal cleaning path is planned.

7. A method for rapid silt cleaning and resource utilization applicable to shoal channels according to claim 4, characterized in that, When prioritizing the cleaning order in S2.3, through the analytic hierarchy process, the impact on the channel, the difficulty of silt cleaning, and the cleaning cost are used as evaluation indicators for the decision-making layer. Determine the relative importance weights of each indicator based on historical experience and actual data, score each key area under different indicators, calculate the comprehensive score of each area, and prioritize the cleaning order according to the scores from high to low, and clean the area with the greatest impact on the channel and high cleaning cost performance.

8. A method for rapid silt cleaning and resource utilization applicable to shoal channels according to claim 4, characterized in that, In S2.4, to identify the areas that are not thoroughly cleaned, specifically: Obtain the optical image data and sensor measurement data of the silt area to form a multi-dimensional data set; For optical image data, convolutional neural networks are used to collect images from real-time and the corresponding area image rendered by the original 3D model Extract feature vectors from and , calculate feature similarity , the formula is: ,in is the dimension of the feature vector, when Below the preset similarity threshold When there is an area that has not been cleaned completely, the first uncleared area is obtained; For sensor measurement data, collect real-time depth data , the depth data corresponding to the original three-dimensional model is , calculate the data difference , , through the data difference obtain the difference value , the formula is: , where is the set depth difference threshold. Through the difference value judge the difference situation of each measurement point, and conduct statistical analysis on the judgment results of the entire area. When the proportion of the number of points where the difference value = 1 accounts for more than the set difference threshold ratio of the total number of measurement points, the area is an area that has not been thoroughly cleaned, and obtain the second uncleared area; Union the first uncleared area and the second uncleared area to identify the areas that are not thoroughly cleaned, and conduct secondary cleaning.

9. A method for rapid cleaning and resource utilization of silt in shallow waterway channels according to claim 1, characterized in that, Quickly transfer the collected silt to a temporary storage pool on the shore through the built-in pipeline conveying system for silt treatment, specifically: S3.

1. Pump the sludge from the temporary storage tank into a specially designed microwave reaction chamber. Turn on the microwave generator, causing the water molecules in the sludge to vibrate rapidly under the action of microwaves, generating heat. The violent movement of the water molecules impacts the sludge particles, destroying the interconnected structure and surface charge balance between the particles, causing the tightly bound sludge particles to disperse. S3.

2. The microwave-pretreated sludge flows into an electrochemical separation tank. A power supply applies an electric field to the electrodes, causing metal ions in the sludge to migrate toward the corresponding electrodes. Organic pollutants undergo redox reactions on the electrode surfaces, and the metal ions and organic pollutants are separated by guide plates installed in the tank. S3.

3. The electrochemically separated liquid is transported to a membrane concentration device, which selectively allows water molecules to pass through based on their size and charge. Pressure is used to drive the water molecules in the liquid through the membrane to form clear water, while other solutes and impurities are retained and concentrated. S3.

4. The separated clean water undergoes water quality testing. If it meets the surface water environmental quality standards, it will be transported through pipelines to the surrounding landscape irrigation system for reuse. The concentrated sludge will be collected and transported to a sealed fermentation tank for mineralization.

10. A method for rapid cleaning and resource utilization of silt in shallow waterway channels according to claim 9, characterized in that, The mineralized sludge is screened to remove large particles of impurities and incompletely reacted substances, and then ground. After adding additives, the sludge is mixed and stirred to form building components. The formed building components are transferred to a curing room for curing to form high-strength building components.

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