CN-122022248-A - Reservoir dredging control method and system based on remote sensing monitoring and electronic equipment

CN122022248ACN 122022248 ACN122022248 ACN 122022248ACN-122022248-A

Abstract

The invention discloses a reservoir dredging control method, a system and electronic equipment based on remote sensing monitoring, in particular relates to the technical field of reservoir dredging, and aims to solve the problems that multi-source monitoring data are difficult to align uniformly, dredging task planning and scheduling lack quantitative decision basis, construction process closed-loop supervision is difficult, and dredging effect is difficult to evaluate and dynamically optimize in the existing reservoir dredging operation. By constructing a dredging reference grid divided according to Gao Chengdai, the reservoir topography, water level operation records, remote sensing siltation distribution and dredging equipment construction tracks are uniformly mapped into dredging task units under a double-anchor time base, a risk field and a benefit field are formed based on a safety constraint value and a recovery benefit value, task cluster scheduling and instruction template issuing are driven in a construction window, so that closed-loop control of reservoir dredging monitoring, decision making, execution and evaluation is realized on a uniform space-time carrier, dependence of the decision making on experience is reduced, and targeted safety and quantifiable management capability of a dredging scheme are improved.

Inventors

LIU GANG
YANG YUANTAO
JIANG ZHIMING
Xiong Guoli
LI CONGMEI
GU HAISHENG
YAN MENG
CHEN KAI
DU HE
GU PENGFEI
Chang Xichao

Assignees

天津大学
新恒丰咨询集团有限公司

Dates

Publication Date: 20260512
Application Date: 20251222

Claims (10)

1. The reservoir dredging control method based on remote sensing monitoring is characterized by comprising the following steps of: s1, acquiring reservoir topography data, operation records and remote sensing images, constructing a dredging reference grid divided according to Gao Chengdai, and establishing double-anchor time base alignment data; S2, mapping remote sensing siltation distribution to a reference grid, generating a candidate region by aggregation according to connectivity, an elevation band and a construction radius, subdividing the candidate region into dredging task units according to equipment capacity, and endowing task keys; s3, calculating a safety constraint value and a recovery benefit value for each task unit by combining the water level, the incoming water, the equipment parameters and the environment-friendly boundary, and forming a risk field and a benefit field on the reference grid; S4, taking a dredging task unit as a decision unit in a preset construction window, and establishing a dispatching optimization model by combining a risk field, a benefit field and ship plane resources, solving a dredging task cluster meeting constraint and generating an instruction template for specifying a polygonal area of the operation, a water level allowed change range and a dredging bottom target elevation zone; S5, acquiring a position track and a dredge quantity of dredging equipment according to the instruction template, positioning corresponding dredging task units on the reference grid, establishing a task state machine, and recording a track and monitoring indexes during state transition; And S6, re-mapping the remote sensing siltation distribution to a reference grid, calculating performance indexes according to the task unit elevation, adjusting a risk field threshold and benefit weight according to the performance indexes, and generating a rule version for the generation and scheduling and calling of the subsequent task unit.
2. The reservoir dredging control method based on remote sensing monitoring as recited in claim 1, wherein S1 comprises: Converting the reservoir topography data according to a unified elevation reference and a plane coordinate reference, and registering coordinate conversion parameters and version marks; Constructing a time service anchor according to standard time of a dispatching center, using a water level operation record and a time mark of a remote sensing image as an intrinsic anchor, correcting the time mark according to a time difference between the time service anchor and the intrinsic anchor, and registering a time alignment rule version to obtain a double-anchor time base; Dividing elevation zones according to designed prosperous water level, dead water level and flood control limit water level, generating a regular grid with unique numbers in the plane range of a reservoir area, and registering an elevation zone mark, a terrain base elevation, a siltation thickness record, a safety risk record, a benefit record, a task state record and a construction track record in each grid unit to form a dredging reference grid.
3. The reservoir dredging control method based on remote sensing monitoring as recited in claim 1, wherein S2 comprises: Correcting the multi-temporal remote sensing image according to a coordinate reference and an elevation reference, and obtaining the siltation distribution of the covered reservoir area based on water surface range identification and water depth inversion; Mapping the siltation distribution to a desilting reference grid, and registering a siltation thickness, an elevation zone, a siltation thickness source, a remote sensing image version mark and a mapping time mark in each grid unit; Registering grid cells with a deposition thickness below the deposition thickness threshold as a non-need dredging grid according to the deposition thickness threshold; registering the grid cells located in the dredging inhibition area as dredging inhibition grids; grid cells that simultaneously meet the siltation thickness up to the siltation thickness threshold and are located in the area where dredging is allowed are registered as candidate dredging grids.
4. The reservoir dredging control method based on remote sensing monitoring as set forth in claim 3, wherein a candidate area is generated by aggregating the grid cells registered as candidate dredging grids according to the plane adjacency and Gao Chengdai continuity in a dredging reference grid, and the range of the candidate area is constrained according to the construction radius of dredging equipment; And subdividing the candidate area according to the operation width, the draft, the transition distance and the operation capacity of the dredging equipment to generate dredging task units, associating each dredging task unit with a determined grid set and a target elevation zone interval, registering an expected dredging volume, generating a unique task key formed by combining a grid set abstract, a target elevation zone identifier, a remote sensing image version mark and a dredging reference grid rule version mark, and registering the unique task key in a task list and associating with version management.
5. The reservoir dredging control method based on remote sensing monitoring as recited in claim 1, wherein S3 comprises: In the dredging control period, extracting an observation window corresponding to a construction window of each dredging task unit based on a water level sequence in a water level operation record, an incoming water scene formed by incoming water forecast, an operation water depth range and a maximum continuous operation duration in dredging equipment parameters and a forbidden operation area and a turbidity control boundary line in an ecological environment-friendly boundary; Determining a safety constraint value according to the water level change in the observation window and the bank slope stability condition, determining a recovery benefit value according to the expected recovery volume of the dredging task unit and the influence on the critical flood control section and the running state of the water intake, and writing the safety constraint value and the recovery benefit value into a dredging reference grid according to grid cells covered by the dredging task unit to generate a risk field and a benefit field; the task key, the water level sequence version, the incoming water scenario version, and the device parameter version are registered in the relevant grid cells.
6. The reservoir dredging control method based on remote sensing monitoring as recited in claim 1, wherein S4 comprises: in the construction organization stage, dredging task units are used as scheduling granularity, dredging task units are screened in a construction window according to safety constraint values in a risk field and recovery benefit values in a benefit field, and dredging task units meeting the safety constraint and the resource constraint are determined by combining ship machine capacity in a ship machine resource pool; The dredging task units are combined according to the spatial adjacent relation and the continuity of the operation route to generate a dredging task cluster; Generating an instruction template for each dredging task cluster, wherein the instruction template defines a polygonal area of the operation, a water level allowed change range, a bottom dredging target elevation zone and a monitoring index threshold value, and transmitting the instruction template to a construction terminal through a dispatching control channel; The instruction template carries a unique instruction identifier and a corresponding task key set, and the construction terminal executes dredging operation according to the instruction template and generates an execution result record.
7. The reservoir dredging control method based on remote sensing monitoring as recited in claim 1, wherein S5 comprises: In the execution process of the dredging task cluster, collecting a dredging equipment position track, underwater suction flow, a water level monitoring value and a turbidity monitoring value by a construction terminal according to an instruction template; Projecting the current position of the equipment to a dredging reference grid to determine a grid unit to which the equipment belongs and indexing the corresponding dredging task unit, and establishing a task state machine comprising states to be executed, in execution, execution completion and required review for each dredging task unit; Migrating among to-be-executed, executing and executing completion states according to the condition that equipment enters a task area, leaves the task area and the accumulated dredged quantity reaches the expected dredging volume proportion; and when the water level monitoring value exceeds the water level allowable change range and the turbidity monitoring value exceeds the turbidity control boundary, transferring the task state to be checked again, generating a running record of binding the task key and the rule version number when transferring the task state each time, and writing the running record into a running archive for subsequent scheduling and performance evaluation calling.
8. The reservoir dredging control method based on remote sensing monitoring as recited in claim 1, wherein S6 comprises: After the construction window is finished and retest is completed, mapping dredging reference grids based on subsequent remote sensing siltation distribution, and calculating a reservoir capacity recovery index and a local secondary siltation rate according to grid sets covered by dredging task units; generating performance records at the levels of the dredging task units and the dredging task clusters, and associating the performance records with task keys, task state machine records and operation record units in an operation archive; Analyzing the safety performance and the benefit performance according to the risk level, adjusting the risk threshold value of the risk field and the weight parameter of the benefit field, generating a rule version and recording a version number chain; and establishing an index relation between the task key and the rule version number, calling the rule version in the generation of a follow-up dredging task unit and the construction of a dredging task cluster, and forming a cross-period evidence chain through performance records and an operation record unit in an operation archive.
9. Reservoir dredging control system based on remote sensing monitoring, for realizing reservoir dredging control method based on remote sensing monitoring as set forth in any one of claims 1-8, characterized by comprising: The reference grid and time base construction module is used for acquiring reservoir topography data, operation records and remote sensing images, constructing a dredging reference grid divided according to Gao Chengdai, and establishing a double-anchor time base to finish data alignment of the reservoir topography data, the operation records and the remote sensing images; The task unit generation module is used for mapping remote sensing siltation distribution to a dredging reference grid, generating candidate areas according to connectivity, elevation zones and construction radiuses in a polymerization mode, subdividing the candidate areas according to the operation capacity of dredging equipment to generate dredging task units, and endowing each dredging task unit with a unique task key; the risk benefit generation module is used for calculating a safety constraint value and a recovery benefit value for each dredging task unit by combining water level, water supply, equipment parameters and an environment-friendly boundary, registering the safety constraint value and the recovery benefit value on a dredging reference grid according to grid units, and forming a risk field and a benefit field; The scheduling and instruction template generation module is used for establishing a scheduling optimization model by taking a dredging task unit as a decision unit in a preset construction window and combining a risk field, a benefit field and ship plane resources, solving a dredging task cluster meeting safety constraint and resource constraint, and generating an instruction template comprising an operation area, a water level range and a target elevation; the process monitoring and task state management module is used for collecting the position track and the dredge quantity of the dredging equipment according to the instruction template, positioning corresponding dredging task units on the dredging reference grid, establishing task state machines corresponding to the dredging task units one by one, and recording equipment track fragments and associated monitoring indexes during task state migration; And the performance feedback and rule version generation module is used for re-mapping the dredging reference grid based on the subsequent remote sensing siltation distribution, calculating performance indexes according to the target elevation of each dredging task unit, and adjusting the threshold value of the risk field and the weight of the benefit field according to the performance indexes to generate an updated rule version for the subsequent dredging task unit generation and scheduling and calling.
10. Reservoir dredging electronic equipment based on remote sensing monitoring, which is used for realizing the reservoir dredging control method based on remote sensing monitoring as set forth in any one of claims 1 to 8 and the reservoir dredging control system based on remote sensing monitoring as set forth in claim 9, and is characterized by comprising: The processor is used for executing program instructions stored in the memory to analyze, calculate and schedule the data based on remote sensing monitoring; the storage is used for storing remote sensing image data, reservoir topography data, operation record data and program instructions for executing reservoir dredging control; And the communication interface is used for realizing data interaction between the electronic equipment and the remote sensing acquisition terminal, the construction terminal and the dispatching center.

Description

Reservoir dredging control method and system based on remote sensing monitoring and electronic equipment Technical Field The invention relates to the technical field of reservoir dredging, in particular to a reservoir dredging control method, a reservoir dredging control system and electronic equipment based on remote sensing monitoring. Background In the existing reservoir dredging engineering, a dredging scheme usually depends on one-time or staged topography measurement results, and is aided with water level operation records and partial field investigation results to partition a siltation area and make a construction plan. Due to the measurement period and the data acquisition cost, most projects mainly adopt traditional section measurement and small number of section extrapolation, the spatial resolution is limited, and the dynamic change of the reservoir area siltation form is difficult to reflect in time. The division of dredging areas depends on manual experience, rough blocking is carried out according to warehouse sections, bank sections or administrative management units, dredging sequences and construction window arrangement mainly depend on experience judgment of technicians on flood control safety, water supply requirements and equipment capacity, and quantifiable and reusable decision basis is lacked. Along with the development of remote sensing monitoring technology, part of engineering starts to identify the water surface change and siltation conditions of a reservoir area by utilizing satellite images or unmanned aerial vehicle images, and comprehensively analyzes siltation distribution of remote sensing inversion, reservoir topography, water level operation records and other data to assist in determining key dredging areas. However, in the existing method, inconsistencies of various data on coordinate reference, elevation reference and time mark are common, layer superposition, manual interpretation and simple threshold screening are often used as main points, a unified space-time reference frame for dredging decision is lacked, remote sensing recognition results are more remained on the level of 'dividing a heavy area', structural corresponding relations are difficult to form with specific dredging task granularity, ship machine resource constraint and construction window arrangement, single-point or single-time calculation is also used as main points for quantitative evaluation of dredging safety risk and dredging benefit, and continuous spatial distribution and traceable evaluation chains are difficult to form. In the construction and operation management level, the prior art generally files the dredging process and effect through construction logs, scheduling records and staged retest reports, lacks a unified structure which uses task units as carriers to associate construction tracks, workload, monitoring indexes and earlier planning assumptions, and is difficult to establish stable comparison caliber between multi-round construction and retest. The regulation of dredging rules mostly depends on the manager to revise the next round of scheme according to experience, and lacks a systematic feedback mechanism based on historical task performance, so that the safety boundary, dredging priority and resource allocation strategy are difficult to realize fine revision in multi-cycle operation. In summary, under the background of introducing remote sensing monitoring and multi-source information, the conventional reservoir dredging still has a prominent technical problem that topography, water level, remote sensing siltation identification, dredging task division, risk and benefit constraint, construction scheduling and multi-period performance evaluation cannot be organically connected in series under a unified space-time reference frame, so that a quantitative decision chain and a closed-loop optimization mechanism facing dredging task units are formed, and the pertinence, controllability and self-adaption capability of a dredging scheme are insufficient. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a reservoir dredging control method, a reservoir dredging control system and electronic equipment based on remote sensing monitoring, so as to solve the problems in the background art. In order to achieve the purpose, the invention provides the following technical scheme that the reservoir dredging control method based on remote sensing monitoring comprises the following steps: s1, acquiring reservoir topography data, operation records and remote sensing images, constructing a dredging reference grid divided according to Gao Chengdai, and establishing double-anchor time base alignment data; S2, mapping remote sensing siltation distribution to a reference grid, generating a candidate region by aggregation according to connectivity, an elevation band and a construction radius, subdividing the candidate region into dredging task units according to equipmen