Hydraulic engineering control method and system based on water system communication condition

Abstract

The invention discloses a hydraulic engineering control method and system based on a water system communication condition, and relates to the technical field of hydraulic engineering, and the method comprises the steps: building a river and lake monitoring traceability tree, monitoring the pressure influence, and obtaining a real-time data flow. And inputting the data into the river and lake health assessment multi-channel to generate a health assessment vector, and calculating a standard state deviation to form a health deviation vector. And making a hydraulic engineering control decision based on the deviation vector, and constructing a river-lake resuscitation decision space. And optimizing the decision space in combination with the resuscitation optimization factor to generate a river and lake resuscitation first strategy. And performing water system communication evaluation, constructing communication conditions, optimizing a recovery strategy based on the communication conditions, and forming a final river-lake recovery scheme. Therefore, the technical effects of comprehensively considering the effective river and lake recovery decision in the water system communication and water ecological restoration mutual feedback process and remarkably improving the ecological restoration effect are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy engineering, and in particular to a water conservancy engineering control method and system based on water system connectivity conditions. Background Art

[0002] With the development of society, water conservancy projects play an important role in ensuring water security and promoting economic and social development. Traditional water conservancy project control methods mainly focus on the allocation and utilization of water resources to meet the needs of human production and life. These methods have improved the utilization efficiency of water resources to a certain extent, but they have certain limitations in dealing with the problem of river and lake ecosystem degradation. In recent years, the protection of river and lake ecosystems has gradually received attention, and some new control methods have begun to focus on the ecological health of rivers and lakes, but most of them focus on single water quality monitoring or simple ecological restoration, lacking comprehensive consideration of the overall water system connectivity and ecosystem complexity of rivers and lakes.

[0003] The existing water conservancy project control methods have the following shortcomings: First, the monitoring of river and lake ecosystems is not comprehensive and in-depth enough, and it is impossible to accurately identify the key indicators that cause the decline and degradation of river and lake ecological quality, and it is difficult to construct an effective river and lake health and river and lake recovery characterization index; Second, the interaction process between water system connectivity, water network engineering layout and water ecological restoration is not fully considered, resulting in the inability to achieve coordinated optimization among various factors in actual water conservancy project control; Third, there is a lack of systematic solutions from multiple angles such as slowing down rivers and lakes, improving river and lake water quality, and improving ecological hydrological connectivity, making it difficult to propose a river and lake recovery system under the support of water system connectivity projects. Summary of the invention

[0004] The present invention provides a water conservancy project control method and system based on the condition of water system connectivity, so as to solve the technical problem in the prior art that the ecological restoration effect is affected by the lack of comprehensive consideration of the water system connectivity, water network project layout and the mutual feedback process of water ecological restoration, and realize effective river and lake restoration decision-making that comprehensively considers the water system connectivity and the mutual feedback process of water ecological restoration, and significantly improves the technical effect of ecological restoration.

[0005] In a first aspect, the present invention provides a water conservancy project control method based on a water system connected condition, wherein the water conservancy project control method based on a water system connected condition comprises: Monitor and trace the pressure impacts on rivers and lakes, and establish a river and lake monitoring tracing tree.

[0006] According to the river and lake monitoring source tracing tree, the rivers and lakes are monitored in real time to obtain river and lake monitoring data streams, and the river and lake monitoring data streams are input into the river and lake health assessment multi-channel to establish a river and lake health assessment vector.

[0007] The standard state deviation of the river and lake health assessment vector is calculated to determine the river and lake health deviation vector, and water conservancy project control decisions are made based on the river and lake health deviation vector to build the first space for river and lake recovery decisions.

[0008] According to the optimization factors for river and lake recovery, multi-level optimization is performed on the first space of river and lake recovery decisions to obtain the first strategy for river and lake recovery.

[0009] Conduct a water system connectivity assessment on the rivers and lakes, construct water system connectivity conditions, and optimize the associated impacts of the first strategy for river and lake recovery based on the water system connectivity conditions to obtain a second strategy for river and lake recovery.

[0010] In a feasible implementation method, the pressure impact monitoring of rivers and lakes is traced back to the source, and a river and lake monitoring traceability tree is established, including: Decouple and optimize the various stressors of the rivers and lakes to obtain the distribution of stressors of rivers and lakes. Perform a stress impact assessment based on the distribution of stressors of rivers and lakes to obtain the stressor impact assessment results. Sort and sort the distribution of stressors of rivers and lakes based on the stressor impact assessment results to obtain a stressor sorting matrix. Match monitoring indicators based on the stressor sorting matrix to obtain a monitoring indicator set for each stressor. Perform a tree-like association based on the stressor sorting matrix and the monitoring indicator set for each stressor to obtain the river and lake monitoring source tracing tree.

[0011] In a feasible implementation, various pressure sources of the river and lake are decoupled and optimized to obtain the distribution of river and lake pressure sources, including: The coupling degree of each pressure source is evaluated in pairs to obtain a plurality of pressure source coupling coefficients. It is determined whether the coupling coefficients of the plurality of pressure sources are greater than or equal to a predetermined coupling coefficient to obtain a plurality of pressure source coupling determination results. The pressure sources are adaptively decoupled according to the plurality of pressure source coupling determination results to obtain the river and lake pressure source distribution.

[0012] In a feasible implementation, the river and lake monitoring data stream is input into a river and lake health assessment multi-channel to establish a river and lake health assessment vector, including: The multi-channels for river and lake health assessment include a comprehensive water quality assessment channel, a sediment pollution assessment channel, an ecological risk assessment channel and a biodiversity assessment channel. Input the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index. Input the river and lake monitoring data stream into the sediment pollution assessment channel to obtain a sediment pollution index. Input the river and lake monitoring data stream into the ecological risk assessment channel to obtain an ecological risk index. Input the river and lake monitoring data stream into the biodiversity assessment channel to obtain a biodiversity assessment coefficient. Vectorized arrangement is performed based on the comprehensive water quality index, the sediment pollution index, the ecological risk index and the biodiversity assessment coefficient to generate the river and lake health assessment vector.

[0013] In a feasible implementation, the river and lake monitoring data stream is input into the comprehensive water quality assessment channel to obtain a comprehensive water quality index, including: The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1. Water quality characteristics are identified according to the river and lake monitoring data stream to obtain river and lake water quality characteristic information. The river and lake water quality characteristic information is input into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients. Centralized value calculation is performed based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

[0014] In a feasible implementation, the standard state deviation of the river and lake health assessment vector is calculated to determine the river and lake health deviation vector, including: Retrieve normal samples for health assessment of the rivers and lakes to obtain a normal sample set for health assessment of rivers and lakes, which includes a normal sample set for comprehensive water quality assessment, a normal sample set for sediment pollution assessment, a normal sample set for ecological risk assessment, and a normal sample set for biodiversity assessment. Perform central value calculation based on the normal sample set for health assessment of rivers and lakes to obtain a multidimensional sample of standard state of rivers and lakes. Construct a standard vector for health of rivers and lakes based on the multidimensional sample of standard state of rivers and lakes. Perform deviation calculation on the health assessment vector of rivers and lakes based on the standard vector for health of rivers and lakes to generate the deviation vector for health of rivers and lakes.

[0015] In a feasible implementation, a multi-level optimization is performed on the first space of river and lake recovery decision according to the river and lake recovery optimization factor to obtain the first strategy of river and lake recovery, including: The optimization factors for river and lake recovery include the degree of improvement in river and lake health and the efficiency of river and lake recovery. Expected settings are made according to the optimization factors for river and lake recovery, and the expected conditions for river and lake recovery are determined. Weights are allocated according to the optimization factors for river and lake recovery, and an analytical function for the optimality of river and lake recovery is constructed. The first space of the river and lake recovery decision is optimized and analyzed according to the expected conditions for river and lake recovery, and the second space of the river and lake recovery decision is obtained. The second space of the river and lake recovery decision is optimized to maximize the optimality of river and lake recovery according to the analytical function for the optimality of river and lake recovery, and the first strategy for river and lake recovery is generated.

[0016] In a feasible implementation, the first space of river and lake recovery decision-making is optimized and analyzed according to the expected conditions for river and lake recovery to obtain the second space of river and lake recovery decision-making, including: According to the first space of river and lake recovery decisions, extract the first decision on river and lake recovery. According to the first decision on river and lake recovery, perform recovery prediction and evaluation on the rivers and lakes to obtain a first recovery prediction and evaluation result. Determine whether the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery. If the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, add the first decision on river and lake recovery to the second space of river and lake recovery decisions. If the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, eliminate the first decision on river and lake recovery.

[0017] In a feasible implementation, performing a recovery prediction and evaluation on the river and lake according to the first decision on river and lake recovery to obtain a first recovery prediction and evaluation result includes: According to the first decision on river and lake recovery, the river and lake recovery is predicted to obtain first predicted river and lake status data and first predicted river and lake recovery efficiency. The first predicted river and lake status data is input into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector. According to the river and lake health assessment vector, the first predicted river and lake health vector is evaluated for river and lake health improvement to obtain a first predicted river and lake health improvement degree. The first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation result.

[0018] In a second aspect, the present invention further provides a water conservancy project control system based on the condition of water system connectivity, wherein the water conservancy project control system based on the condition of water system connectivity includes: The pressure impact monitoring and tracing module is used to monitor and trace the pressure impact of rivers and lakes and establish a river and lake monitoring tracing tree.

[0019] The river and lake health assessment vector establishment module is used to monitor the rivers and lakes in real time according to the river and lake monitoring traceability tree, obtain the river and lake monitoring data stream, and input the river and lake monitoring data stream into the river and lake health assessment multi-channel to establish the river and lake health assessment vector.

[0020] The decision space building module is used to calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, make water conservancy project control decisions based on the river and lake health deviation vector, and build the first space for river and lake recovery decisions.

[0021] The recovery strategy acquisition module is used to perform multi-level optimization on the first space of river and lake recovery decisions according to the river and lake recovery optimization factors to obtain the first strategy for river and lake recovery.

[0022] The recovery strategy optimization module is used to evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first river and lake recovery strategy based on the water system connectivity conditions to obtain the second river and lake recovery strategy.

[0023] The present invention discloses a water conservancy project control method and system based on the condition of water system connectivity, including: establishing a river and lake monitoring traceability tree, monitoring pressure impact and obtaining real-time data stream. Input data into the multi-channel of river and lake health assessment, generate a health assessment vector, and calculate the standard state deviation to form a health deviation vector. Make water conservancy project control decisions based on the deviation vector, and construct a river and lake recovery decision space. Optimize the decision space in combination with the recovery optimization factor to generate the first strategy for river and lake recovery. Carry out water system connectivity assessment, construct connectivity conditions, and optimize the recovery strategy based on the connectivity conditions to form a final river and lake recovery plan. The water conservancy project control method and system based on water system connectivity disclosed in the present invention solves the technical problem of lack of comprehensive consideration of water system connectivity, water network engineering layout and water ecological restoration feedback process, which affects the ecological restoration effect, and realizes effective river and lake recovery decision-making that comprehensively considers the water system connectivity and water ecological restoration feedback process, and significantly improves the technical effect of ecological restoration effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of a water conservancy project control method based on the water system connection condition of the present invention; Figure 2 It is a structural schematic diagram of the water conservancy project control system based on the water system connectivity condition of the present invention.

[0025] Explanation of the reference numerals: pressure impact monitoring and tracing module 11, river and lake health assessment vector establishment module 12, decision space construction module 13, recovery strategy acquisition module 14, recovery strategy optimization module 15. DETAILED DESCRIPTION

[0026] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention are shown in the drawings, rather than all of them.

[0027] Embodiment 1, as Figure 1 The flowchart of the hydraulic engineering control method based on the water system connected condition of the present invention is as follows: S100: Monitor and trace the pressure impacts on rivers and lakes, and establish a river and lake monitoring traceability tree.

[0028] Specifically, monitoring and tracing the source of pressure impacts refers to the process of identifying and monitoring various pressure sources that may cause negative impacts in river and lake ecosystems, and tracing the origins and transmission paths of these pressure sources through scientific methods; among them, pressure sources include natural factors (such as floods, droughts, siltation, etc.) and human activities (such as industrial sewage, agricultural non-point source pollution, urbanization construction, etc.). Monitoring and tracing the source will help to fully understand the type, intensity and source of pressure on rivers and lakes, and provide accurate data support for subsequent ecological assessment and restoration.

[0029] Specifically, the river and lake monitoring source tree is a tree-structured model used to systematically organize and display river and lake stressors and their impact relationships. Exemplarily, the river and lake monitoring source tree takes the river and lake ecosystem as the root node, stressors at all levels as branch nodes, and the specific influencing factors of the stressors as leaf nodes. Through the above tree structure, the hierarchical relationship and mutual influence between different stressors can be clearly seen, which helps to identify stressors that play a key role in the decline and degradation of river and lake ecological quality.

[0030] In some embodiments, the pressure impact monitoring of rivers and lakes is traced back to the source, and a river and lake monitoring traceability tree is established, including: Decouple and optimize the various stress sources of the rivers and lakes to obtain the distribution of river and lake stress sources; evaluate the impact of coercion based on the distribution of river and lake stress sources to obtain stress source impact evaluation results; sort and comb the distribution of river and lake stress sources based on the stress source impact evaluation results to obtain a stress source sorting matrix; match monitoring indicators based on the stress source sorting matrix to obtain a monitoring indicator set for each stress source; perform tree-like association between the stress source sorting matrix and the monitoring indicator set for each stress source to obtain the river and lake monitoring source tracing tree.

[0031] Specifically, stressor decoupling optimization refers to the decomposition and optimization of the various stressors faced by rivers and lakes (such as industrial pollution, agricultural non-point source pollution, urban expansion, etc.) to clarify the independent impact and interaction of each stressor, so as to more accurately determine the contribution of each stressor to the river and lake ecosystem, such as analyzing the synergistic or antagonistic effects between different stressors through pairwise coupling evaluation, providing a basis for subsequent precise monitoring and governance.

[0032] Specifically, the stress impact assessment is a process of quantitatively evaluating the degree of stress on the ecosystem under the distribution of river and lake stressors. By combining methods such as ecotoxicology, hydrological and water quality models, the specific degree of impact of stressors on river and lake organisms, physical and chemical properties of water bodies, etc. is determined, thereby providing a scientific basis for the priority sorting of stressors. For example, a stress impact assessment model (such as one based on statistical regression or machine learning models) is established to comprehensively consider the intensity and duration of stressors and their impact on water quality, water quantity, and ecological environment; the stressor impact assessment results are output in numerical or graded form to reflect the impact intensity of each stressor.

[0033] Specifically, the stressor ranking matrix is ​​a matrix structure formed by ranking the various stressors faced by rivers and lakes according to the severity of their impact on the ecosystem based on the results of the coercive impact assessment. This matrix reflects the order of importance of the impact of each stressor in the river-lake system and provides guidance for the selection of subsequent monitoring indicators and resource allocation. For example, in a lake affected by multiple pollution sources, the ranking matrix determines that industrial pollution sources are the primary stressor, followed by agricultural non-point sources, so that industrial pollution sources are given priority in monitoring and governance.

[0034] Exemplarily, a sorting algorithm (such as score-based sorting, TOPSIS method, etc.) is used to sort the stress sources from high to low according to the impact evaluation results to form a sorting matrix, in which each element of the matrix represents the impact level of a certain stress source in different regions or different time periods.

[0035] Furthermore, according to the stressor priority determined in the stressor ranking matrix, the corresponding monitoring indicators are matched. This is because different stressors have different characteristics and impact modes, so it is necessary to select targeted monitoring indicators to accurately reflect their impact on river and lake ecosystems. For example, for industrial pollution sources, it may be necessary to monitor indicators such as chemical oxygen demand (COD), heavy metal content, and flow; while for agricultural non-point source pollution, the focus is on monitoring the content of nutrients such as nitrogen and phosphorus, pesticide residues, and suspended solids concentration; then, according to the stressor ranking matrix and the monitoring indicator set of each stressor, the relationship between each stressor is associated in a tree structure to construct a river and lake monitoring traceability tree. In this structure, the river and lake ecosystem is the root node, the stressors at all levels are the branch nodes, and the specific monitoring indicators are the leaf nodes. Each node in the tree represents a stressor, and its association reflects the propagation path of the fault or pollution from the source to the entire river and lake system.

[0036] Through tree-like associations, the hierarchical relationships and mutual connections between different stress sources and their monitoring indicators can be clearly displayed, making it easier to trace problems and conduct precise management in complex ecosystems.

[0037] In some implementations, decoupling and optimizing the various pressure sources of the river and lake to obtain the distribution of the pressure sources of the river and lake includes: Evaluate the coupling degree of each pressure source in pairs to obtain multiple pressure source coupling coefficients; determine whether the multiple pressure source coupling coefficients are greater than or equal to a predetermined coupling coefficient to obtain multiple pressure source coupling determination results; and adaptively decouple the various pressure sources based on the multiple pressure source coupling determination results to obtain the river and lake pressure source distribution.

[0038] Specifically, first, the coupling degree between the various stressors facing rivers and lakes is evaluated, and by establishing a coupling degree model, the intensity of interaction between the two stressors when affecting the river and lake ecosystem is quantitatively analyzed. For example, for the two stressors of industrial pollution and agricultural non-point source pollution, the stressor coupling coefficient between them is calculated by analyzing their overlap and synergy in terms of pollutant emission type, emission time, and impact range. The stressor coupling coefficient is a quantitative indicator to measure the strength of the interaction between the two stressors. Its value range is usually between -1 and 1. The closer the coupling coefficient is to 1, the stronger the interaction between the two stressors, and the more obvious their synergistic effect when affecting the river and lake ecosystem; conversely, the closer the coupling coefficient is to 0, the weaker the interaction between the two stressors, and it can be approximately considered that they act independently on the river and lake ecosystem; the closer the coupling coefficient is to -1, the stronger the interaction between the two stressors, but the more obvious their antagonistic effect when affecting the river and lake ecosystem.

[0039] Exemplarily, similarity measurement methods (such as Pearson correlation coefficient, cosine similarity, mutual information, etc.) are used to calculate the coupling coefficient between each pair of stress sources, reflecting the similarity and correlation between the two in terms of spatiotemporal distribution, intensity changes or impact levels.

[0040] Specifically, when the coupling coefficient of two pressure sources is greater than or equal to the predetermined coupling coefficient, it can be considered that the interaction between them cannot be ignored. At this time, the two pressure sources are merged into a new comprehensive pressure source for processing; when the coupling coefficient is less than the predetermined coupling coefficient, they are regarded as independent pressure sources and are subsequently analyzed and processed separately. This method can automatically adapt to the complex relationship between pressure sources according to actual conditions, and improve the accuracy and efficiency of decoupling.

[0041] The above steps, through pairwise evaluation and threshold judgment, achieve effective decoupling and classification of stress sources, thereby distinguishing the independent contribution or mutual correlation of each stress source in the river-lake system, and finally generating a distribution of river-lake stress sources that accurately reflects the actual situation. This provides a scientific basis for subsequent pressure impact tracing, environmental monitoring and governance decision-making.

[0042] S200: Monitor the rivers and lakes in real time according to the river and lake monitoring source tracing tree, obtain a river and lake monitoring data stream, and input the river and lake monitoring data stream into a river and lake health assessment multi-channel to establish a river and lake health assessment vector.

[0043] Specifically, based on the river and lake monitoring traceability tree, a set of monitoring indicators that need to be monitored is defined, and a sensor network deployed at various monitoring nodes of rivers and lakes (such as water quality detectors, water level sensors, flow meters, etc.) is used to collect real-time water quality (water temperature, pH value, dissolved oxygen, turbidity, etc.), water level, flow and related environmental data (such as rainfall, temperature, etc.) of rivers and lakes. The monitoring data can form a continuous data stream through wireless transmission, Internet of Things platform or satellite remote sensing, reflecting the status and changing trends of river and lake ecosystems at different times, providing a basis for subsequent health assessments.

[0044] Specifically, the multi-channel of river and lake health assessment is used to comprehensively assess the health status of river and lake ecosystems. It contains multiple assessment channels, each of which conducts special assessments on different aspects of river and lake ecosystems, and processes and analyzes monitoring data through a variety of models and methods, such as comprehensive water quality assessment channel, sediment pollution assessment channel, ecological risk assessment channel and biodiversity assessment channel, so as to comprehensively reflect the health status of river and lake ecosystems. For example, the comprehensive water quality assessment channel uses water quality monitoring data to assess the degree of water pollution; the biodiversity assessment channel assesses the biodiversity status of the ecosystem by analyzing the structure of biological communities and species richness. The river and lake health assessment vector is a comprehensive representation formed by quantizing the various assessment results obtained by the multi-channel of river and lake health assessment. It integrates assessment indicators of different dimensions (such as water quality index, biodiversity coefficient, etc.) into an ordered vector structure, and each element corresponds to a specific assessment indicator value.

[0045] For example, in a river affected by industrial pollution and agricultural non-point source pollution, according to the guidance of the source tree, water quality monitoring points are set up in the river sections downstream of the industrial sewage outlet and near the agricultural planting area to collect water quality data such as chemical oxygen demand, ammonia nitrogen, heavy metals, and pollutant content in sediments and the types and number of aquatic organisms in real time to form a complete monitoring data stream. Then, these monitoring data streams are input into the multi-channel of river and lake health assessment, and each channel processes and analyzes the data separately. The comprehensive water quality assessment channel uses water quality data to calculate the comprehensive water quality index, the sediment pollution assessment channel assesses the degree of sediment pollution, the ecological risk assessment channel analyzes potential ecological risks, and the biodiversity assessment channel counts biodiversity indicators.

[0046] The vector form not only facilitates data storage and transmission, but also enables quantitative comparison and comprehensive evaluation of the health status of river and lake ecosystems through mathematical operations and statistical analysis, providing a scientific basis for subsequent water conservancy project control decisions.

[0047] In some embodiments, the river and lake monitoring data stream is input into a river and lake health assessment multi-channel to establish a river and lake health assessment vector, including: The multi-channel river and lake health assessment includes a comprehensive water quality assessment channel, a sediment pollution assessment channel, an ecological risk assessment channel and a biodiversity assessment channel; the river and lake monitoring data stream is input into the comprehensive water quality assessment channel to obtain a comprehensive water quality index; the river and lake monitoring data stream is input into the sediment pollution assessment channel to obtain a sediment pollution index; the river and lake monitoring data stream is input into the ecological risk assessment channel to obtain an ecological risk index; the river and lake monitoring data stream is input into the biodiversity assessment channel to obtain a biodiversity assessment coefficient; the comprehensive water quality index, the sediment pollution index, the ecological risk index and the biodiversity assessment coefficient are vectorized and sorted to generate the river and lake health assessment vector.

[0048] Specifically, the comprehensive water quality assessment channel focuses on the physical and chemical characteristics of river and lake water bodies. By collecting water quality monitoring data such as water temperature, pH, dissolved oxygen, chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen content, and heavy metal concentration, a comprehensive quantitative assessment of the pollution level and water quality status of the water body is conducted through specific water quality assessment models and algorithms, and finally a comprehensive water quality index is obtained to quantitatively reflect the overall water quality health status of the water body and determine whether the river and lake ecosystem is polluted and the degree of pollution.

[0049] Specifically, the sediment pollution assessment channel focuses on the pollution of sediments at the bottom of rivers and lakes. As one of the final destinations of water pollutants, sediments can adsorb and enrich various pollutants, such as heavy metals, organic pollutants, etc.; by collecting and analyzing sediment samples, detecting the content and type of pollutants, and combining the physical and chemical properties of sediments (such as particle size, organic matter content, etc.), the potential pollution risk and ecological toxicity of sediments to river and lake ecosystems are evaluated, and the sediment pollution index is obtained. This sediment pollution index helps to understand the quality of the ecological environment at the bottom of rivers and lakes, and provides an important reference for the survival of benthic organisms and the ecological balance of the entire water body.

[0050] Specifically, the ecological risk assessment channel aims to assess the degree of risk faced by river and lake ecosystems. It comprehensively considers factors such as pollutant concentrations in water and sediments, biological toxicity data, the presence of protected species, and the importance of ecosystem service functions. By establishing ecological risk assessment models, such as the risk quotient method (RQ) and the toxicity unit method (TU), the risk values ​​of different pollutants to river and lake ecosystems are calculated, and then the ecological risk index is obtained. This index can intuitively reflect the degree of threat to river and lake ecosystems.

[0051] Specifically, the biodiversity assessment channel focuses on the assessment of the species, quantity and community structure of organisms in river and lake ecosystems. By collecting data on the species, quantity, biomass and other data of aquatic organisms (including plankton, benthic organisms, fish, etc.), as well as indicators such as vegetation coverage, species richness and species uniformity, and using biodiversity assessment models (such as the Shannon-Wiener Index and the Simpson Index), the biodiversity assessment coefficient is calculated. This coefficient can reflect the biodiversity status of river and lake ecosystems and is an important indicator for measuring the health and stability of ecosystems. The higher the biodiversity, the more complete the structure and function of the ecosystem, and the stronger its ability to resist interference.

[0052] Specifically, the four assessment results obtained above are vectorized, that is, they are converted into a unified vector form, and each element corresponds to the comprehensive water quality index, sediment pollution index, ecological risk index and biodiversity assessment coefficient, thereby generating a river and lake health assessment vector.

[0053] Through multi-channel evaluation and quantification of river and lake health assessment, a comprehensive, quantitative and dynamic evaluation of the health status of river and lake ecosystems can be achieved, bringing many beneficial effects. On the one hand, the multi-dimensional evaluation method overcomes the limitations of single indicator evaluation and comprehensively reflects the complex health status of river and lake ecosystems; on the other hand, quantification facilitates data storage, transmission and comprehensive analysis, providing an intuitive and quantitative basis for subsequent water conservancy project control decisions.

[0054] In some implementations, inputting the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index includes: The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, wherein K is a positive integer greater than 1; water quality characteristics are identified based on the river and lake monitoring data stream to obtain river and lake water quality characteristic information; the river and lake water quality characteristic information is input into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients; and concentrated value calculation is performed based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

[0055] Specifically, the comprehensive water quality assessment channel consists of K comprehensive water quality assessment models, where K is a positive integer greater than 1, and each model uses a different data processing algorithm or parameter setting to achieve independent assessment of water quality characteristic information, ensuring the robustness and accuracy of the assessment results.

[0056] Furthermore, through the real-time collection of river and lake monitoring data streams, data preprocessing and feature recognition technologies (such as signal filtering, feature extraction algorithms, machine learning classification, etc.) are used to extract water quality-related characteristic information and obtain river and lake water quality characteristic information vectors as subsequent model input.

[0057] Specifically, the identified river and lake water quality characteristic information is input into K comprehensive water quality assessment models respectively. Each model outputs a comprehensive water quality assessment coefficient according to its own mapping relationship. The coefficient is the evaluation result of the current water quality. Preferably, its numerical range can be normalized to 0 to 1 or converted into a percentage. For example, model 1 outputs 0.85, model 2 outputs 0.80, ..., model K outputs 0.83.

[0058] Furthermore, the K comprehensive water quality assessment coefficients are centrally calculated, including taking the mean, median or weighted average method, and a comprehensive water quality index is output. This index can be used as a quantitative expression of the overall water quality of rivers and lakes to determine whether the water quality meets environmental protection or management standards.

[0059] Furthermore, it should be understood that the aforementioned sediment pollution assessment channel, ecological risk assessment channel and biodiversity assessment channel are constructed using the same method principles as the above-mentioned comprehensive water quality assessment channel and are implemented through the same steps. For the sake of brevity of the specification, no further explanation is given here.

[0060] S300: Calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, make water conservancy project control decisions based on the river and lake health deviation vector, and build the first space for river and lake recovery decisions.

[0061] Specifically, each evaluation indicator in the river and lake health assessment vector (such as the comprehensive water quality index, sediment pollution index, ecological risk index and biodiversity assessment coefficient) is compared with the ideal value under the standard state, and the deviation value of each indicator is calculated, where the standard state refers to the ideal state of the river and lake ecosystem in a healthy, unpolluted or disturbed state; the river and lake health deviation vector is the vector obtained by calculating the standard state deviation, which reflects the difference level between the current river and lake ecosystem and the ideal health state. Each element in the vector corresponds to the deviation value of an evaluation indicator, and these deviation values ​​can be positive (indicating that the current state is better than the standard state) or negative (indicating that the current state is worse than the standard state).

[0062] Furthermore, based on the river and lake health deviation vector, the deviation value is analyzed to determine the water conservancy engineering measures that need to be taken to improve the health of the river and lake ecosystem. Exemplary measures may include water purification, ecological restoration, water level regulation, etc. The first space of river and lake recovery decision refers to the set of decision plans preliminarily determined according to the river and lake health deviation vector in the process of water conservancy engineering control decision-making. This set contains a variety of possible combinations of water conservancy engineering measures, each of which aims to solve the problems existing in the river and lake ecosystem and is the basis for further optimization and selection.

[0063] The purpose of the above process is to quantitatively compare the current health status of river and lake ecosystems with the ideal state, identify existing problems and gaps, and thus provide a scientific basis for water conservancy project control decisions. In this way, more targeted measures can be taken to improve the health level of river and lake ecosystems and promote the recovery of rivers and lakes.

[0064] In some embodiments, performing standard state deviation calculation on the river and lake health assessment vector to determine the river and lake health deviation vector includes: A normal sample search for health assessment of the rivers and lakes is performed to obtain a normal sample set for health assessment of rivers and lakes, wherein the normal sample set for health assessment of rivers and lakes includes a normal sample set for comprehensive water quality assessment, a normal sample set for sediment pollution assessment, a normal sample set for ecological risk assessment, and a normal sample set for biodiversity assessment; a centralized value calculation is performed based on the normal sample set for health assessment of rivers and lakes to obtain a multidimensional sample of a standard state of rivers and lakes; a standard vector for health of rivers and lakes is constructed based on the multidimensional sample of the standard state of rivers and lakes; a deviation calculation is performed on the health assessment vector of rivers and lakes based on the standard vector for health of rivers and lakes to generate the deviation vector for health of rivers and lakes.

[0065] Specifically, health assessments of rivers and lakes are conducted based on historical data, and sample data with various indicators within the normal range are retrieved and screened to form multiple normal sample sets, providing basic data for the subsequent construction of standard states, including: Normal sample set for comprehensive water quality assessment: composed of multiple historical normal comprehensive water quality indexes, reflecting sample data with water quality indicators in an ideal state. Normal sample set for sediment pollution assessment: records sample data with pollutant concentrations in sediments within safety standards. Normal sample set for ecological risk assessment: reflects sample data with low ecosystem risks and a stable ecological environment. Normal sample set for biodiversity assessment: reflects sample data with ideal biodiversity indicators in rivers and lakes.

[0066] Specifically, for each normal sample set, the representative values ​​of each evaluation index are calculated through the central tendency statistical method (such as mean, median or weighted mean) to form a set of standard multidimensional samples, and the above-mentioned central value data are combined in a predetermined order to form a river and lake health standard vector, which represents the level of each index when the river and lake are in an ideal health state. Different evaluation index items can use different statistical methods, for example: the comprehensive water quality index uses the mean, the sediment pollution index uses the median, and the ecological risk and biodiversity index uses the weighted average.

[0067] Furthermore, the current river and lake health assessment vector is compared with the river and lake health standard vector, and the deviation between the two is calculated to obtain the river and lake health deviation vector, which is used to determine whether the river and lake health status deviates from the standard range, providing a basis for subsequent quality attenuation prediction, trend analysis and ecological restoration decision-making.

[0068] S400: performing multi-level optimization on the first space of river and lake recovery decision-making according to the river and lake recovery optimization factors to obtain a first strategy for river and lake recovery.

[0069] In some embodiments, multi-level optimization is performed on the first space of river and lake recovery decision-making according to the river and lake recovery optimization factor to obtain the first strategy for river and lake recovery, including: The river and lake recovery optimization factors include the degree of river and lake health improvement and the river and lake recovery efficiency; according to the river and lake recovery optimization factors, expectation settings are performed to determine the expected conditions for river and lake recovery; according to the river and lake recovery optimization factors, weights are allocated to build an optimal analytical function for river and lake recovery; according to the expected conditions for river and lake recovery, the first space of the river and lake recovery decision is optimized and analyzed to obtain the second space of the river and lake recovery decision; according to the river and lake recovery optimal analytical function, the second space of the river and lake recovery decision is optimized to maximize the optimality of the river and lake recovery, and the first strategy for river and lake recovery is generated.

[0070] Specifically, the optimization factor for river and lake recovery refers to the key indicator used to evaluate and select the optimal solution in the decision-making process of river and lake recovery. The optimization factors in this case include the degree of improvement in river and lake health and the efficiency of river and lake recovery. The degree of improvement in river and lake health measures the degree of improvement in the health status of rivers and lakes after taking a certain measure, usually expressed as the extent of improvement in health indicators; the efficiency of river and lake recovery focuses on the timeliness of the implementation of measures, that is, the speed of improvement in the health status of rivers and lakes within a unit of time.

[0071] Specifically, the expected conditions for river and lake recovery are a series of expected conditions based on the river and lake health goals. These conditions reflect the decision makers' expected level of river and lake recovery effects, such as the specific values ​​or degree of improvement of river and lake health indicators expected to be achieved within a certain period of time.

[0072] Specifically, the analytical function for the merits of river and lake recovery is a mathematical model used to quantitatively evaluate the merits of different river and lake recovery measures. This function comprehensively considers optimization factors such as the degree of improvement in river and lake health and the efficiency of river and lake recovery, and calculates the merits of each measure based on the set weight distribution, thereby providing a quantitative basis for decision-making.

[0073] For example, first, according to the optimization factors of river and lake recovery, the expected conditions for river and lake recovery are determined. For example, the decision maker expects to increase the comprehensive water quality index of rivers and lakes from 0.5 to 0.8 and the biodiversity assessment coefficient from 0.6 to 0.9 within five years. Then, according to the optimization factors of river and lake recovery, the weights are allocated and the optimal analytical function of river and lake recovery is constructed. Assuming that the decision maker believes that health improvement is more important and gives it a weight of 0.7, while the weight of recovery efficiency is 0.3, then the optimal analytical function of recovery is F Characterized by: ; Then, according to the expected conditions for river and lake recovery, the first space of river and lake recovery decision-making is optimized and analyzed to obtain the second space of river and lake recovery decision-making, that is, the combination of measures that can meet the expected conditions is screened out from the first space to form the second space. For example, from a variety of possible combinations of water purification and ecological restoration measures, those combinations that can make river and lake health indicators reach the expected values ​​within the expected time are screened out.

[0074] Finally, the optimality of rivers and lakes recovery is maximized in the second space of river and lake recovery decision-making according to the optimality analytical function of river and lake recovery, and the first strategy for river and lake recovery is generated: by calculating the optimality value of each measure combination in the second space under the optimality analytical function of recovery, the measure combination with the highest optimality value is selected as the first strategy for river and lake recovery; for example, after calculation, it is found that a measure combination combining ecological wetland construction and regular dredging has the highest optimality value, then this combination is determined as the first strategy for river and lake recovery.

[0075] The above process finally obtains the first strategy for river and lake recovery that maximizes the optimal recovery through expectation screening and multi-level optimization iteration of the initial decision space. This strategy can not only meet the target requirements of power plants and environmental management for river and lake recovery, but also improve the recovery effect through data-driven and adaptive optimization, thereby providing a solid decision-making basis for subsequent resource scheduling and environmental governance.

[0076] In some implementations, performing an optimization analysis on the first river and lake recovery decision space according to the expected conditions for river and lake recovery to obtain the second river and lake recovery decision space includes: According to the first space of river and lake recovery decisions, extract the first decision on river and lake recovery; perform recovery prediction and evaluation on the rivers and lakes according to the first decision on river and lake recovery to obtain a first recovery prediction and evaluation result; determine whether the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery; if the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, add the first decision on river and lake recovery to the second space of river and lake recovery decisions; if the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, eliminate the first decision on river and lake recovery.

[0077] Specifically, in the decision-making process of river and lake recovery, first, the first decision of river and lake recovery is extracted from the first space of river and lake recovery decision-making. For example, a specific combination of measures is selected from multiple possible combinations of measures, such as "constructing ecological wetlands + regular dredging + controlling industrial pollution source emissions". Next, according to this first decision, the recovery prediction and evaluation of rivers and lakes is carried out, including the establishment of hydrological models, ecological models, water quality models or regression analysis models, etc., to simulate the health status of rivers and lakes after the implementation of these measures, and obtain the first recovery prediction and evaluation results.

[0078] Specifically, if the first recovery prediction and evaluation results meet the expected conditions for river and lake recovery, the first decision for river and lake recovery will be added to the second space of river and lake recovery decisions; if not, the decision will be eliminated and will not enter the subsequent optimization analysis.

[0079] In the entire plan, the role of this process is to screen out water conservancy engineering measures that can effectively improve the health of rivers and lakes and meet the expected conditions; through recovery prediction evaluation and condition judgment, it ensures that the measures entering the second space of river and lake recovery decision-making have high feasibility and effectiveness, providing high-quality candidate solutions for subsequent multi-level optimization.

[0080] In some implementations, performing a recovery prediction and evaluation on the river or lake according to the first river or lake recovery decision to obtain a first recovery prediction and evaluation result includes: According to the first decision on river and lake recovery, the recovery of the rivers and lakes is predicted to obtain first predicted river and lake status data and a first predicted river and lake recovery efficiency; the first predicted river and lake status data is input into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector; according to the river and lake health assessment vector, the first predicted river and lake health vector is evaluated for the river and lake health improvement degree to obtain a first predicted river and lake health improvement degree; the first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation result.

[0081] Specifically, in the process of predicting and evaluating the first decision of river and lake recovery, the recovery of rivers and lakes is first predicted according to the first decision of river and lake recovery. For example, assuming that the first decision is "constructing ecological wetlands + regular dredging + controlling industrial pollution source emissions", the state of rivers and lakes after the implementation of these measures is simulated by establishing hydrological models, ecological models and water quality models, and the first predicted river and lake state data and the first predicted river and lake recovery efficiency are obtained. For example, the prediction results show that the comprehensive water quality index increases from 0.5 to 0.7, the biodiversity assessment coefficient increases from 0.6 to 0.8, and the recovery efficiency increases by 0.05 every year. Next, the first predicted river and lake state data is input into the river and lake health assessment multi-channel, and the predicted comprehensive water quality index is calculated through the comprehensive water quality assessment channel, the predicted sediment pollution index is calculated through the sediment pollution assessment channel, the predicted ecological risk index is calculated through the ecological risk assessment channel, and the predicted biodiversity assessment coefficient is calculated through the biodiversity assessment channel, and finally the first predicted river and lake health vector is generated. For example, the first predicted river and lake health vector is [0.7, 0.3, 0.2, 0.8]. Then, the first predicted river and lake health vector is evaluated for river and lake health improvement based on the current river and lake health assessment vector. Assuming that the current river and lake health assessment vector is [0.5, 0.4, 0.3, 0.6], the first predicted river and lake health improvement is obtained by calculating the improvement degree of each evaluation indicator. For example, the improvement degree of the comprehensive water quality index is 0.2, and the improvement degree of the biodiversity assessment coefficient is 0.2. Finally, the first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation results.

[0082] Through scientific prediction and evaluation, the above process can quantify the implementation effect of river and lake restoration measures, provide a scientific basis for judging whether the measures meet the expected conditions, and thus screen out effective restoration measures and improve the recovery efficiency of river and lake ecosystems.

[0083] S500: Evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first strategy for river and lake recovery based on the water system connectivity conditions to obtain a second strategy for river and lake recovery.

[0084] Specifically, water system connectivity determines the interaction between different river and lake areas in terms of water volume, pollutant dilution and ecological restoration. In the process of formulating strategies, the connectivity between the remediation systems must be ensured. The connectivity is positively correlated with the degree of water ecology, which can ensure a high degree of convenience between various aspects. The relevant calculation formula is: ; Where i represents the number of the river system whose connectivity is currently being calculated; j is the number of other river systems used to calculate the distance to the i-th river system; T i is the connectivity of the water system; n is the total number of water systems; D M,iis the average shortest topological distance between water system i and other water systems; d ji is the shortest topological distance from the jth river system to the ith river system (the shortest path based on geographical and hydrological topology); the (n−1) term is used to convert D M,i The total distance in is normalized (i.e., excluding itself); the (n−1) term is used to normalize T i Normalization processing (i.e. excluding itself and the water system closest to itself).

[0085] Specifically, the optimization of associated impacts is the process of adjusting recovery measures so that the recovery plans of various regions can achieve coordinated recovery under the condition of good connectivity, which helps to optimize the overall water quality and ecosystem recovery effects, including adjusting resource allocation, process parameters, and scheduling plans. For example, for areas with strong water system connectivity, the investment in downstream areas with good connectivity can be appropriately reduced, while the recovery efforts can be increased in areas with poor connectivity.

[0086] Specifically, the final recovery plan, adjusted under the influence of water system connectivity conditions, takes into account both the recovery needs of each region and the hydrological and ecological connectivity between rivers and lakes, which helps to achieve optimal resource scheduling and coordinated restoration of the overall water quality ecology. The output results include specific recovery measures, resource allocation plans and expected recovery effects for each region, providing a decision-making basis for subsequent practical operations and environmental governance.

[0087] In summary, the water conservancy project control method based on the water system connectivity condition provided by the present invention has the following technical effects: By establishing a river and lake monitoring traceability tree, monitor the impact of pressure and obtain real-time data streams. Input data into the multi-channel of river and lake health assessment, generate a health assessment vector, and calculate the standard state deviation to form a health deviation vector. Make water conservancy project control decisions based on the deviation vector and construct a river and lake recovery decision space. Optimize the decision space in combination with the recovery optimization factor to generate the first strategy for river and lake recovery. Conduct a water system connectivity assessment, construct connectivity conditions, and optimize the recovery strategy based on the connectivity conditions to form the final river and lake recovery plan, thereby achieving effective river and lake recovery decisions that comprehensively consider the water system connectivity and the feedback process of water ecological restoration, and significantly improve the technical effect of ecological restoration.

[0088] Embodiment 2, as Figure 2 This is a schematic diagram of the structure of the water conservancy project control system based on the water system connection condition of the present invention. For example, Figure 1 The flow chart of the hydraulic engineering control method based on the water system connection condition of the present invention can be shown as follows: Figure 2 The structure shown is implemented.

[0089] Based on the same concept as the water conservancy project control method based on the water system connected condition in the above embodiment, the water conservancy project control system based on the water system connected condition provided by the present invention includes: The pressure impact monitoring and tracing module 11 is used to carry out pressure impact monitoring and tracing of rivers and lakes and establish a river and lake monitoring tracing tree.

[0090] The river and lake health assessment vector establishment module 12 is used to monitor the rivers and lakes in real time according to the river and lake monitoring traceability tree, obtain the river and lake monitoring data stream, and input the river and lake monitoring data stream into the river and lake health assessment multi-channel to establish the river and lake health assessment vector.

[0091] The decision space building module 13 is used to calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, and make water conservancy project control decisions based on the river and lake health deviation vector to build the first space for river and lake recovery decisions.

[0092] The recovery strategy acquisition module 14 is used to perform multi-level optimization on the first space of river and lake recovery decisions according to the river and lake recovery optimization factors to obtain the first strategy for river and lake recovery.

[0093] The recovery strategy optimization module 15 is used to evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first river and lake recovery strategy based on the water system connectivity conditions to obtain the second river and lake recovery strategy.

[0094] In some embodiments, the pressure impact monitoring and tracing module 11 includes: The river and lake stress source decoupling optimization unit is used to decouple and optimize the various stress sources of the rivers and lakes to obtain the distribution of river and lake stress sources. The stress source impact evaluation unit is used to evaluate the coercive impact based on the distribution of river and lake stress sources to obtain the stress source impact evaluation results. The stress source sorting matrix generation unit is used to sort and sort the river and lake stress source distribution according to the stress source impact evaluation results to obtain the stress source sorting matrix. The stress source monitoring indicator matching unit is used to match the monitoring indicators according to the stress source sorting matrix to obtain the monitoring indicator set of each stress source. The river and lake monitoring source tracing tree construction unit is used to perform tree-like association based on the stress source sorting matrix and the monitoring indicator set of each stress source to obtain the river and lake monitoring source tracing tree.

[0095] In some implementations, the river and lake pressure source decoupling optimization unit in the pressure impact monitoring and tracing module 11 includes: The pressure source coupling evaluation unit is used to evaluate the coupling degree of each pressure source in pairs to obtain multiple pressure source coupling coefficients. The pressure source coupling judgment unit is used to judge whether the multiple pressure source coupling coefficients are greater than or equal to the predetermined coupling coefficients to obtain multiple pressure source coupling judgment results. The pressure source adaptive decoupling unit is used to adaptively decouple the various pressure sources according to the multiple pressure source coupling judgment results to obtain the river and lake pressure source distribution.

[0096] In some embodiments, the river and lake health assessment vector establishment module 12 includes: The multi-channel for river and lake health assessment includes a comprehensive water quality assessment channel, a sediment pollution assessment channel, an ecological risk assessment channel and a biodiversity assessment channel. The comprehensive water quality assessment unit is used to input the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index. The sediment pollution assessment unit is used to input the river and lake monitoring data stream into the sediment pollution assessment channel to obtain a sediment pollution index. The ecological risk assessment unit is used to input the river and lake monitoring data stream into the ecological risk assessment channel to obtain an ecological risk index. The biodiversity assessment unit is used to input the river and lake monitoring data stream into the biodiversity assessment channel to obtain a biodiversity assessment coefficient. The river and lake health assessment vector generation unit is used to perform vectorization based on the comprehensive water quality index, the sediment pollution index, the ecological risk index and the biodiversity assessment coefficient to generate the river and lake health assessment vector.

[0097] In some implementations, the comprehensive water quality assessment unit in the river and lake health assessment vector establishment module 12 includes: The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1. A water quality feature identification unit is used to identify water quality features based on the river and lake monitoring data stream to obtain river and lake water quality feature information. A comprehensive water quality assessment coefficient acquisition unit is used to input the river and lake water quality feature information into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients. A comprehensive water quality index generation unit is used to perform centralized value calculation based on the K comprehensive water quality assessment coefficients to generate the comprehensive water quality index.

[0098] In some embodiments, the decision space building module 13 includes: A health assessment normal sample retrieval unit is used to retrieve normal samples for health assessment of the rivers and lakes to obtain a normal sample set for health assessment of rivers and lakes, wherein the normal sample set for health assessment of rivers and lakes includes a normal sample set for comprehensive water quality assessment, a normal sample set for sediment pollution assessment, a normal sample set for ecological risk assessment, and a normal sample set for biodiversity assessment. A centralized value calculation and standard state sample acquisition unit is used to perform centralized value calculation based on the normal sample set for health assessment of rivers and lakes to obtain multi-dimensional samples of standard states of rivers and lakes. A health standard vector construction unit is used to construct a health standard vector for rivers and lakes based on the multi-dimensional samples of standard states of rivers and lakes. A health deviation vector generation unit is used to perform deviation calculation on the health assessment vector for rivers and lakes based on the health standard vector for rivers and lakes to generate the health deviation vector for rivers and lakes.

[0099] In some embodiments, the resuscitation strategy acquisition module 14 includes: The river and lake recovery optimization factors include the degree of river and lake health improvement and the river and lake recovery efficiency. The river and lake recovery expected condition determination unit is used to make expected settings according to the river and lake recovery optimization factors and determine the expected conditions for river and lake recovery. The river and lake recovery optimality analytical function construction unit is used to perform weight allocation according to the river and lake recovery optimization factors and build a river and lake recovery optimality analytical function. The river and lake recovery decision second space acquisition unit is used to perform optimization analysis on the river and lake recovery decision first space according to the expected conditions for river and lake recovery and obtain the river and lake recovery decision second space. The river and lake recovery first strategy generation unit is used to perform river and lake recovery optimality maximization optimization on the river and lake recovery decision second space according to the river and lake recovery optimality analytical function and generate the river and lake recovery first strategy.

[0100] In some implementations, the second spatial acquisition unit for river and lake recovery decision in the recovery strategy acquisition module 14 includes: A first decision extraction unit for river and lake recovery is used to extract the first decision for river and lake recovery based on the first space of the river and lake recovery decision. A first recovery prediction and evaluation result acquisition unit is used to perform a recovery prediction and evaluation on the river and lake based on the first decision for river and lake recovery to obtain a first recovery prediction and evaluation result. A river and lake recovery expected condition judgment unit is used to judge whether the first recovery prediction and evaluation result meets the expected condition for river and lake recovery. A river and lake recovery decision second space update unit is used to add the first decision for river and lake recovery to the second space of the river and lake recovery decision if the first recovery prediction and evaluation result meets the expected condition for river and lake recovery. A river and lake recovery first decision elimination unit is used to eliminate the first decision for river and lake recovery if the first recovery prediction and evaluation result does not meet the expected condition for river and lake recovery.

[0101] Furthermore, the first resuscitation prediction evaluation result acquisition unit further includes: The first predicted river and lake state data and recovery efficiency acquisition unit is used to predict the recovery of the river and lake according to the first decision on river and lake recovery, and obtain the first predicted river and lake state data and the first predicted river and lake recovery efficiency. The first predicted river and lake health vector generation unit is used to input the first predicted river and lake state data into the river and lake health assessment multi-channel to obtain the first predicted river and lake health vector.

[0102] The first predicted river and lake health improvement evaluation unit is used to evaluate the river and lake health improvement of the first predicted river and lake health vector according to the river and lake health assessment vector to obtain the first predicted river and lake health improvement. The first recovery prediction evaluation result output unit is used to output the first predicted river and lake health improvement and the first predicted river and lake recovery efficiency as the first recovery prediction evaluation result.

[0103] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the aforementioned embodiment one are also applicable to the water conservancy project control system based on water system connectivity conditions described in embodiment two. For the sake of brevity of the specification, they will not be further elaborated here.

[0104] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the above-mentioned embodiments. It should be understood that those skilled in the art can still modify the technical solutions recorded in the above-mentioned embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A water conservancy project control method based on water system connectivity, characterized in that: include: Monitor and trace the pressure impacts on rivers and lakes, and establish a river and lake monitoring traceability tree; According to the river and lake monitoring source tracing tree, the river and lake are monitored in real time to obtain a river and lake monitoring data stream, and the river and lake monitoring data stream is input into a river and lake health assessment multi-channel to establish a river and lake health assessment vector; Perform standard state deviation calculation on the river and lake health assessment vector, determine the river and lake health deviation vector, and make water conservancy project control decisions based on the river and lake health deviation vector to build the first space for river and lake recovery decision-making; Perform multi-level optimization on the first space of river and lake recovery decision-making according to the river and lake recovery optimization factor to obtain the first strategy for river and lake recovery; Conduct a water system connectivity assessment on the rivers and lakes, construct water system connectivity conditions, and optimize the associated impacts of the first strategy for river and lake recovery based on the water system connectivity conditions to obtain a second strategy for river and lake recovery.

2. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: Monitor and trace the pressure impacts on rivers and lakes, and establish a river and lake monitoring traceability tree, including: Decoupling and optimizing various pressure sources of the rivers and lakes to obtain the distribution of pressure sources of the rivers and lakes; Conduct stress impact assessment based on the distribution of river and lake stressors to obtain stressor impact assessment results; According to the stress source impact assessment results, the distribution of the river and lake stress sources is sorted and sorted to obtain a stress source sorting matrix; Matching monitoring indicators according to the pressure source sorting matrix to obtain a monitoring indicator set for each pressure source; The river and lake monitoring source tracing tree is obtained by performing tree-like association based on the pressure source sorting matrix and the monitoring indicator sets of each pressure source.

3. The water conservancy project control method based on water system connectivity conditions as claimed in claim 2, characterized in that: Decouple and optimize the various pressure sources of the rivers and lakes to obtain the distribution of river and lake pressure sources, including: Evaluate the coupling degree of each pressure source pairwise to obtain multiple pressure source coupling coefficients; Determine whether the coupling coefficients of the multiple pressure sources are greater than or equal to a predetermined coupling coefficient, and obtain a determination result of the coupling of the multiple pressure sources; The various pressure sources are adaptively decoupled according to the coupling judgment results of the multiple pressure sources to obtain the distribution of the river and lake pressure sources.

4. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: The river and lake monitoring data stream is input into the river and lake health assessment multi-channel to establish a river and lake health assessment vector, including: The multiple channels for river and lake health assessment include comprehensive water quality assessment channel, sediment pollution assessment channel, ecological risk assessment channel and biodiversity assessment channel; Inputting the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index; Inputting the river and lake monitoring data stream into the sediment pollution assessment channel to obtain a sediment pollution index; Inputting the river and lake monitoring data stream into the ecological risk assessment channel to obtain an ecological risk index; Inputting the river and lake monitoring data stream into a biodiversity assessment channel to obtain a biodiversity assessment coefficient; The river and lake health assessment vector is generated by vectorizing the comprehensive water quality index, the sediment pollution index, the ecological risk index and the biodiversity assessment coefficient.

5. The water conservancy project control method based on water system connectivity conditions according to claim 4, characterized in that: Input the river and lake monitoring data stream into the comprehensive water quality assessment channel to obtain a comprehensive water quality index, including: The comprehensive water quality assessment channel includes K comprehensive water quality assessment models, where K is a positive integer greater than 1; Identify water quality characteristics based on the river and lake monitoring data stream to obtain river and lake water quality characteristic information; Inputting the river and lake water quality characteristic information into the K comprehensive water quality assessment models to obtain K comprehensive water quality assessment coefficients; The comprehensive water quality index is generated by performing a centralized value calculation based on the K comprehensive water quality assessment coefficients.

6. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: Calculating the standard deviation of the river and lake health assessment vector to determine the river and lake health deviation vector includes: Conducting a health assessment normal sample search for the rivers and lakes to obtain a river and lake health assessment normal sample set, wherein the river and lake health assessment normal sample set includes a comprehensive water quality assessment normal sample set, a sediment pollution assessment normal sample set, an ecological risk assessment normal sample set, and a biodiversity assessment normal sample set; Calculate the central value based on the normal sample set for river and lake health assessment to obtain a multi-dimensional sample of the standard state of rivers and lakes; Constructing a river and lake health standard vector based on the multi-dimensional sample of river and lake standard states; The deviation of the river and lake health assessment vector is calculated according to the river and lake health standard vector to generate the river and lake health deviation vector.

7. The water conservancy project control method based on water system connectivity conditions according to claim 1, characterized in that: According to the optimization factors for river and lake recovery, a multi-level optimization is performed on the first space of river and lake recovery decision-making to obtain the first strategy for river and lake recovery, including: The river and lake recovery optimization factors include river and lake health improvement and river and lake recovery efficiency; According to the optimization factor for river and lake recovery, the expected conditions for river and lake recovery are determined; According to the optimization factors for river and lake recovery, weights are allocated and an optimal analytical function for river and lake recovery is constructed; Performing optimization analysis on the first space of river and lake recovery decision-making according to the expected conditions for river and lake recovery to obtain a second space of river and lake recovery decision-making; According to the analytical function of the optimality of river and lake recovery, the optimality of river and lake recovery is maximized in the second space of the river and lake recovery decision-making to generate the first strategy for river and lake recovery.

8. The water conservancy project control method based on water system connectivity conditions according to claim 7, characterized in that: The first space of river and lake recovery decision-making is optimized and analyzed according to the expected conditions for river and lake recovery to obtain the second space of river and lake recovery decision-making, including: Extracting the first decision for river and lake recovery according to the first decision space for river and lake recovery; Performing a recovery prediction and evaluation on the rivers and lakes according to the first decision on river and lake recovery to obtain a first recovery prediction and evaluation result; Determining whether the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery; If the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, the first decision for river and lake recovery is added to the second space for river and lake recovery decisions; If the first recovery prediction and evaluation result meets the expected conditions for river and lake recovery, the first decision for river and lake recovery is eliminated.

9. The water conservancy project control method based on water system connectivity conditions as claimed in claim 8, characterized in that: According to the first decision on river and lake recovery, a recovery prediction and evaluation is performed on the river and lake to obtain a first recovery prediction and evaluation result, including: According to the first decision on river and lake recovery, a recovery prediction is made for the river and lake to obtain first predicted river and lake state data and a first predicted river and lake recovery efficiency; Inputting the first predicted river and lake state data into the river and lake health assessment multi-channel to obtain a first predicted river and lake health vector; Evaluate the river and lake health improvement degree of the first predicted river and lake health vector according to the river and lake health assessment vector to obtain a first predicted river and lake health improvement degree; The first predicted river and lake health improvement degree and the first predicted river and lake recovery efficiency are output as the first recovery prediction evaluation result.

10. A water conservancy project control system based on water system connectivity, characterized in that: The method for controlling a water conservancy project based on a water system connection condition according to any one of claims 1 to 9 comprises: The pressure impact monitoring and tracing module is used to monitor and trace the pressure impact of rivers and lakes and establish a river and lake monitoring tracing tree; A river and lake health assessment vector establishment module is used to monitor the river and lake in real time according to the river and lake monitoring source tracing tree, obtain the river and lake monitoring data stream, and input the river and lake monitoring data stream into the river and lake health assessment multi-channel to establish a river and lake health assessment vector; A decision space building module is used to calculate the standard state deviation of the river and lake health assessment vector, determine the river and lake health deviation vector, and make water conservancy project control decisions based on the river and lake health deviation vector to build the first space for river and lake recovery decisions; A recovery strategy acquisition module, used to perform multi-level optimization on the first space of river and lake recovery decision-making according to the river and lake recovery optimization factor to obtain the first strategy for river and lake recovery; The recovery strategy optimization module is used to evaluate the water system connectivity of the rivers and lakes, construct water system connectivity conditions, and optimize the associated impact of the first river and lake recovery strategy based on the water system connectivity conditions to obtain the second river and lake recovery strategy.

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