Cross-regional pollution collaborative governance and dispatching system for rivers flowing into the sea

Abstract

The present application relates to the field of pollution control of rivers flowing into the sea, and provides a cross-regional pollution collaborative control and scheduling system for rivers flowing into the sea. The system collects water quality indexes at fixed river sections at uniform time intervals in multiple administrative regions along the rivers flowing into the sea, and constructs water quality time series data sets for the corresponding river sections. Based on the characteristics of water quality changes, pollution change river sections are identified, and cross-regional transmission paths for the transmission of pollution changes to downstream are constructed according to the actual flow direction of the river. The system deduces the pollution changes step by step along the transmission path, and corrects the water quality change state in combination with the river section response parameters to obtain the deduced water quality state corresponding to the downstream river section. By comparing the deduced water quality state with the control threshold of the downstream river section, a collaborative control and scheduling request is generated, and after the scheduling is executed, the water quality time series data set of the affected river section is reconstructed, and the river section response parameters are updated, thereby forming a closed-loop scheduling process for cross-regional pollution control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of management, in particular to an interregional pollution collaborative governance scheduling system for an estuary river. BACKGROUND

[0002] In the prior art, an administrative division or a single river basin is generally taken as a management unit, water quality monitoring stations are arranged at each river section, and index data such as chemical oxygen demand, ammonia nitrogen and total phosphorus are periodically collected and uploaded to a regional water environment management system. In the system, relevant management departments make scheduling and decision-making on discharge monitoring, treatment project start-stop and emergency disposal measures according to the monitoring data in their respective jurisdictions. When an estuary river flows through multiple administrative regions, a hierarchical reporting, manual consultation or simple linkage based on fixed rules is usually adopted to coordinate and handle the interregional pollution problems, so as to realize the overall management of the water environment of the estuary river.

[0003] However, in specific application scenarios, the above-mentioned prior art still has obvious technical defects in interregional collaborative governance. For example, when a sudden industrial wastewater over-standard discharge occurs in an upstream city A of an estuary river, the pollutants will enter the downstream city B and the estuary within a few hours after being transported by the river. In the prior art, since the water quality monitoring data are first collected and reported by the city A system, the sharing of the data to the city B and the provincial platform usually has a fixed time interval or a manual review process, so that the city B cannot obtain accurate information about the pollution load, arrival time and influence range in time before the pollutants arrive. In this case, the city B still operates the dam and ecological water supplement facilities according to the established scheduling plan, which may cause the pollutants to be detained in the estuary section and further spread to the nearshore sea area, affecting the water quality of the mariculture area. As can be seen, the prior art lacks a real-time collaborative scheduling and linkage decision-making mechanism for the interregional pollution of the estuary river, and it is difficult to realize fine management based on the overall river basin and estuary influence during the pollution transmission process. SUMMARY

[0004] The purpose of the present application is to provide an interregional pollution collaborative governance scheduling system for an estuary river, which aims to solve the problems mentioned in the background art.

[0005] To solve the above technical problems, the technical solution of the present application is as follows:

[0006] The interregional pollution collaborative governance scheduling system for an estuary river comprises:

[0007] A water quality time series data construction module is arranged in each administrative region along the estuary river to collect water quality index data at a uniform time interval for multiple fixed river sections and construct a water quality time series data set for the corresponding river section.

[0008] The river section pollution change identification module is configured to extract water quality change characteristics in the water quality time series data set, and generate pollution change river section identification data when a pollution change judgment condition of a corresponding river section is met.

[0009] The cross-region transmission path analysis module is configured to connect pollution change river sections and downstream administrative region river sections in a path according to an actual flow direction order of a river flowing into the sea based on the pollution change river section identification data, so as to form a cross-region transmission path of pollution change river sections to downstream river sections in stages.

[0010] The transmission state dynamic deduction module is configured to correct a water quality index change value of a pollution change river section in stages along the cross-region transmission path based on an updatable river section response parameter, so as to generate deduction water quality state data of a downstream river section.

[0011] The cooperative scheduling trigger judgment module is configured to compare the deduction water quality state data with a treatment control threshold of a downstream river section, and generate a cooperative treatment scheduling request when a scheduling trigger condition is met.

[0012] The scheduling execution feedback correction module is configured to reconstruct water quality time series data of an affected river section after execution of the cooperative treatment scheduling request, and update a river section response parameter based on the water quality time series data, so as to form a closed-loop scheduling process of cross-region pollution treatment.

[0013] Preferably, the river section pollution change identification module comprises:

[0014] The water quality time series data set screening unit is configured to extract continuous collection data segments corresponding to a same river section and a same water quality index from the water quality time series data set, and eliminate collection time segments with scheduling intervention records, so as to generate candidate historical time series data.

[0015] The reference change time series data generation unit is configured to recombine the candidate historical time series data in a collection time sequence, so as to generate reference change time series data representing a water quality change range of the river section in a normal state.

[0016] The current change characteristic data generation unit is configured to select water quality data of a current collection time point and a previous collection time point from the water quality time series data set, extract a change direction and a change amplitude, and generate current change characteristic data.

[0017] The change persistence judgment result generation unit is configured to time-align and compare the current change characteristic data with the reference change time series data, and judge whether the current change characteristic data maintains a consistent change direction at continuous collection time points, so as to generate a change persistence judgment result.

[0018] The non-pollution disturbance exclusion result generation unit is configured to, when the change persistence determination result meets the consistent change direction keeping, perform time consistency comparison between the water quality change and the water level change record and the historical seasonal change record in the corresponding time period, and generate a non-pollution disturbance exclusion result.

[0019] The pollution change river section identification data generation unit is configured to, when the non-pollution disturbance exclusion result indicates that the water quality change does not correspond to the water level change record and the historical seasonal change record, mark the corresponding river section as a pollution change river section, and generate pollution change river section identification data.

[0020] Preferably, the transmission state dynamic deduction module comprises:

[0021] The initial change state determination unit is configured to extract the water quality change amount of the corresponding river section according to the pollution change river section identification data, and generate initial change state data as a deduction starting point.

[0022] The transmission level construction unit is configured to sort the river sections in the cross-regional transmission path in sequence according to the actual flow direction sequence of the river into the sea, and form transmission level structure data from upstream to downstream.

[0023] The level change transmission unit is configured to sequentially transmit the initial change state data to adjacent downstream levels according to the transmission level structure data, and generate corresponding intermediate transmission state data at each level.

[0024] The level response correction unit is configured to, at each level, compare the intermediate transmission state data with the value state of the river section response parameter of the river section in the historical pollution transmission process, and when the change directions of the two in the same time period are inconsistent, or the change amplitudes exceed the historical response range represented by the river section response parameter, correct the change amplitude of the intermediate transmission state data, and generate level deduction state data of the river section at the level.

[0025] The deduction continuity verification unit is configured to perform change direction consistency and change continuity verification on the level deduction state data of adjacent levels, and generate deduction water quality state data that passes the verification.

[0026] Preferably, the scheduling execution feedback correction module comprises:

[0027] The scheduling influence river section determination unit is configured to determine the range of river sections actually affected by the scheduling measures according to the content of the collaborative governance scheduling request, and generate scheduling influence river section data.

[0028] The water quality time sequence reconstruction unit after scheduling is configured to, according to the scheduling influence river section data, reconstruct a water quality time sequence data set of the corresponding river section at a plurality of continuous collection time points after the scheduling execution is completed.

[0029] The inference deviation generation unit is configured to compare the water quality time series data set with the inference water quality state data generated before the scheduling to generate inference deviation data reflecting the difference between the actual change and the inference result.

[0030] The deviation source determination result generation unit is configured to compare the time period corresponding to the inference deviation data with the scheduling implementation time period in the scheduling execution record, and generate a deviation source determination result indicating that the deviation is caused by the influence of the scheduling measure when the deviation change is consistent with the scheduling implementation time period, and generate a deviation source determination result indicating that the deviation is caused by the influence of the non-scheduling factor when the deviation change is not corresponding to any scheduling implementation time period.

[0031] The response parameter correction unit is configured to correct and update the river response parameter of the corresponding river section in the transmission state dynamic inference module to generate an updated river response parameter when the deviation source determination result indicates that the deviation is caused by the scheduling measure.

[0032] The correction result writing unit is configured to write the updated river response parameter to the transmission state dynamic inference module for subsequent cross-regional inference processing of pollution change.

[0033] Preferably, the hierarchical response correction unit comprises:

[0034] The change direction determination result generation sub-unit is configured to compare the intermediate transmission state data and the value state of the river response parameter of the corresponding hierarchical river section in the historical pollution transmission process, determine whether the change directions of the two are consistent in the same time period, and generate a change direction determination result.

[0035] The change amplitude over-limit determination result generation sub-unit is configured to compare the change amplitude of the intermediate transmission state data with the historical response range represented by the river response parameter when the change direction determination result indicates that the change directions are consistent, determine whether the change amplitude exceeds the historical response range, and generate a change amplitude over-limit determination result.

[0036] The correction trigger result generation sub-unit is configured to generate a correction trigger result for triggering the correction of the change amplitude of the intermediate transmission state data according to the change direction determination result and the change amplitude over-limit determination result when the change direction determination result indicates that the change directions are inconsistent, or the change amplitude over-limit determination result indicates that the change amplitude exceeds the historical response range, and correct the change amplitude of the intermediate transmission state data according to the correction trigger result to generate the hierarchical inference state data of the hierarchical river section.

[0037] Preferably, the inference continuity verification unit comprises:

[0038] The cross-layer change consistency detection result generation subunit is configured to perform cross-layer change consistency detection on the finally determined layer evolution state data in the corresponding change direction in the adjacent transmission layer, and generate a cross-layer change consistency detection result.

[0039] The stability confirmation result generation subunit is configured to generate a stability confirmation result when the cross-layer change consistency detection result indicates that the layer evolution state data maintains the consistent change direction in at least two adjacent transmission layers.

[0040] When the stability confirmation result indicates that the check passes, the corresponding layer evolution state data is determined as the evolution water quality state data that passes the check.

[0041] Preferably, the layer response modification unit further comprises:

[0042] The river section space type identification result generation subunit is configured to determine the space position type of the river section according to the space position of the river section in the cross-region transmission path after the change amplitude modification of the intermediate transmission state data is triggered by the modification trigger result generation subunit, and generate a river section space type identification result.

[0043] The parameter value state selection result generation subunit is configured to select the value state corresponding to the space position type from the river section response parameter according to the river section space type identification result, and generate a parameter value state selection result.

[0044] The differential modification result generation subunit is configured to perform further change amplitude modification processing on the intermediate transmission state data modified by the modified trigger result generation subunit according to the parameter value state selection result, generate a differential modification result matched with the river section space position type, and generate the updated layer evolution state data of the layer river section corresponding to the differential modification result.

[0045] Preferably, the response parameter modification unit comprises:

[0046] The deviation continuity determination result generation subunit is configured to perform comparison processing on the evolution deviation change directions corresponding to the adjacent multiple dispatches according to the evolution deviation data generated after multiple collaborative governance dispatch request executions, determine whether the evolution deviation maintains the consistent change direction in the continuous multiple dispatches, and generate a deviation continuity determination result.

[0047] The parameter update trigger confirmation result generation subunit is configured to generate a parameter update trigger confirmation result for triggering the modification and update of the river section response parameter of the corresponding river section when the deviation continuity determination result indicates that the evolution deviation maintains the consistent change direction in the continuous multiple dispatches.

[0048] The parameter correction execution result generation subunit is configured to perform correction update processing on the river section response parameter of the corresponding river section according to the parameter update trigger confirmation result, and generate the updated river section response parameter according to the parameter correction execution result.

[0049] Preferably, the response parameter correction unit further comprises:

[0050] The historical response range determination result generation subunit is configured to determine the historical response range of the corresponding river section according to the value state of the river section response parameter of the corresponding river section in the historical pollution transmission process, and generate the historical response range determination result in the river section response parameter update stage.

[0051] The parameter update amplitude limitation result generation subunit is configured to limit the change amplitude of the river section response parameter in the parameter correction execution result according to the historical response range determination result, and generate the parameter update amplitude limitation result.

[0052] The limited parameter update confirmation result generation subunit is configured to confirm that the update result of the river section response parameter is within the historical response range according to the parameter update amplitude limitation result, and determine the update result as the updated river section response parameter.

[0053] Preferably, the cooperative scheduling trigger determination module comprises:

[0054] The linkage river section set determination result generation subunit is configured to determine a plurality of downstream river sections located on the same pollution change transmission path according to the cross-regional transmission path, and generate the linkage river section set.

[0055] The linkage deduction state collection result generation subunit is configured to extract the deduction water quality state data corresponding to each river section in the linkage river section set from the deduction water quality state data, and generate the linkage deduction state collection result.

[0056] The linkage overrun determination result generation subunit is configured to compare each river section deduction water quality state data in the linkage deduction state collection result with the management control threshold of the corresponding river section, and determine whether a plurality of river sections simultaneously reach the management control threshold in the same deduction time period, and generate the linkage overrun determination result.

[0057] The cooperative scheduling trigger confirmation result generation subunit is configured to generate the cooperative scheduling trigger confirmation result for confirming the trigger of the cooperative management scheduling request covering the linkage river section set when the linkage overrun determination result indicates that a plurality of river sections simultaneously reach the management control threshold.

[0058] The above scheme of the present application at least has the following beneficial effects:

[0059] By collecting water quality indicators at fixed river sections in multiple administrative regions along the river into the sea at uniform time intervals, and constructing a water quality time series data set for the corresponding river section, the continuity and consistency of the water quality data in the time dimension are maintained, the information fragmentation problem caused by inconsistent sampling frequency and reporting rhythm in different regions is avoided from the source, and a stable data foundation is provided for cross-regional pollution change analysis.

[0060] On this basis, by systematically identifying the change characteristics in the water quality time series data set and marking the river section in combination with the pollution change determination condition, the pollution change can be identified in its early stage, and it is no longer dependent on manual reporting or post hoc summary in a single administrative region, thereby shortening the transmission path of pollution information in cross-regional governance and improving the forward-looking of pollution event response.

[0061] Further, by constructing a cross-regional transmission path according to the actual flow direction of the river into the sea, and sequentially deducing the pollution change along the path, the transmission process of the pollutant between different river sections can be continuously depicted, avoiding isolated judgment based on local monitoring data, thereby providing a reference basis for the downstream administrative region to obtain the water quality state that may be affected in advance.

[0062] Meanwhile, by introducing an updateable river section response parameter to modify the deduction process, the water quality change in different river sections can be adjusted in combination with historical transmission characteristics, avoiding the deviation caused by simple linear extrapolation, making the deduction result closer to the actual pollution transmission behavior, and providing reliable state support for subsequent dispatching decision.

[0063] After obtaining the deduced water quality state, by comparing it with the governance control threshold of the downstream river section, and generating a coordinated governance dispatch request when the condition is met, the dispatching decision is changed from passive response of a single administrative region to active linkage facing the overall impact of cross-regions, reducing the risk of mismatch of dispatching measures caused by information lag.

[0064] Finally, by reconstructing the water quality time series data set of the affected river section after dispatching execution, and updating the river section response parameter, the dispatching effect can be fed back to the subsequent deduction and decision-making process, forming a closed-loop operation mechanism covering pollution identification, state deduction, dispatch execution and parameter modification, thereby improving the adaptability and coordination of cross-regional pollution governance of the river into the sea in the continuous operation process. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 is the architecture diagram of the cross-regional pollution coordinated governance dispatching system of the river into the sea provided by the embodiment of the present application. DETAILED DESCRIPTION

[0066] Exemplary embodiments of the present disclosure will be described in greater detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure can be more thoroughly understood, and so that the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0067] As shown in Figure 1 Embodiments of the present application propose a sea-inflow river cross-regional pollution collaborative governance scheduling system, which comprises:

[0068] a water quality time series data construction module for collecting water quality index data at uniform time intervals for multiple fixed river sections in each administrative region along the sea-inflow river, and constructing a water quality time series data set for the corresponding river section;

[0069] a river section pollution change identification module for extracting water quality change characteristics from the water quality time series data set, and generating pollution change river section identification data when the pollution change judgment condition of the corresponding river section is met;

[0070] a cross-regional transmission path analysis module for connecting the pollution change river section and the downstream administrative region river section in the order of the actual flow direction of the sea-inflow river according to the pollution change river section identification data, forming a cross-regional transmission path for the step-by-step transmission of the pollution change river section to the downstream river section;

[0071] a transmission state dynamic deduction module for correcting the water quality index change value of the pollution change river section step by step along the cross-regional transmission path based on the updateable river section response parameters, and generating deduction water quality state data corresponding to the downstream river section;

[0072] a collaborative scheduling trigger judgment module for comparing the deduction water quality state data with the governance control threshold of the downstream river section, and generating a collaborative governance scheduling request when the scheduling trigger condition is met;

[0073] a scheduling execution feedback correction module for reconstructing the water quality time series data set for the affected river section after the execution of the collaborative governance scheduling request, and updating the river section response parameters according to the water quality time series data set, so as to form a closed-loop scheduling process for cross-regional pollution governance.

[0074] In embodiments of the present application, water quality index is collected at uniform time intervals for fixed river sections in multiple administrative regions along the sea-inflow river, and the collection results are constructed into a water quality time series data set, so that the water quality changes of each river section have continuity and traceability basis, thereby providing a stable data source for subsequent pollution change identification and cross-regional analysis, and avoiding judgment deviation caused by inconsistent sampling time or discrete data.

[0075] By extracting the water quality change characteristics in the water quality time series data set, and combining the change persistence and non-pollution disturbance exclusion mechanism, the water quality change of the river section is determined step by step, so that the system can distinguish the abnormal change caused by pollution transmission from the fluctuation caused by natural factors such as water level and season, thereby improving the consistency between the pollution change river section identification result and the actual pollution situation, and providing reliable judgment basis for cross-regional governance.

[0076] After the pollution change river section is identified, the cross-regional transmission path is constructed according to the actual flow direction of the river into the sea, and the water quality change state is deduced step by step along the path. By introducing the updateable river section response parameter, the water quality change transmission process between different river sections can reflect the historical response characteristics and spatial difference characteristics, so as to form the deduced water quality state consistent with the actual pollution diffusion process, and provide continuous state reference for risk assessment of downstream river sections.

[0077] By comparing the deduced water quality state with the governance control threshold of each downstream river section, and generating a cooperative governance scheduling request when the scheduling trigger condition is met, the governance decision can be based on the cross-regional overall water quality change trend rather than single-point monitoring result, thereby supporting the formation of linkage response among multiple administrative regions in the pollution transmission process, and avoiding governance measures lagging or repeating.

[0078] After the cooperative governance scheduling is executed, the water quality time series data set of the affected river section is reconstructed, and the actual change result is compared with the deduced state for analysis, and then the river section response parameter is updated, so that the system can feed back the scheduling execution effect to the subsequent deduction process, forming a closed-loop operation mechanism covering pollution identification, state deduction, scheduling decision and parameter correction, thereby maintaining the adaptability of the system in the long-term operation process.

[0079] For example, when an industrial discharge port in a certain administrative region upstream of a river into the sea abnormally discharges, the system identifies the pollution change of the corresponding river section through continuous collection of water quality time series data, and constructs a cross-regional transmission path along the river downstream to multiple administrative regions, and deduces the water quality state of the downstream river sections that may be affected step by step; when the deduced result shows that multiple downstream river sections may reach the governance control threshold in the same time period, the system generates a cooperative governance scheduling request covering the related administrative regions; after the scheduling measures are implemented, the system reconstructs the water quality time series data set of the related river sections, compares the actual change with the deduced result, and updates the river section response parameter, thereby providing more actual situation-conforming deduction and scheduling support in subsequent similar pollution events.

[0080] In the embodiment of the present application, the cross-regional transmission path analysis module is used to analyze the cross-regional transmission relationship of the pollution change in the river into the sea after the pollution change river section is identified, and the specific implementation can include the following steps:

[0081] Firstly, pollution change river section identification data is acquired. The pollution change river section identification data at least contains river section identification information marked as a pollution change river section and spatial position identification of the river section in an estuary river, for representing a starting river section where pollution change occurs.

[0082] Subsequently, river section topological relationship data of the estuary river is acquired. The river section topological relationship data is used to represent connection relationship and flow direction relationship between river sections along the estuary river, which can include river section number, upstream and downstream correlation relationship and administrative region attribution information, for reflecting continuous structure and actual flow direction sequence of the river in space.

[0083] On this basis, taking the pollution change river section as a path starting point, downstream river sections directly connected with the pollution change river section are found in sequence according to actual flow direction determined in the river section topological relationship data, and the downstream river sections are added to a path to be analyzed.

[0084] When the downstream river section crosses an administrative region boundary, it is marked as a cross-region transmission node, and recursive or iterative analysis is continued along the river flow direction to more downstream river sections according to the same flow direction analysis rule until a preset path termination condition is met. The path termination condition can include reaching an estuary river section, reaching a terminal river section of the cross-region transmission path, or there is no further downstream connected river section.

[0085] In the path analysis process, the pollution change river section and the downstream river sections obtained by step-by-step analysis are connected according to the analysis sequence to form one or more cross-region transmission paths representing step-by-step transmission of pollution change from upstream to downstream. The river sections in the cross-region transmission path maintain a sequence relationship consistent with the actual flow direction of the river.

[0086] Finally, cross-region transmission path analysis results are output. The results are used to represent spatial transmission relationship between the pollution change river section and downstream river sections in multiple administrative regions, and serve as basic input data for a subsequent transmission state dynamic deduction module and a collaborative scheduling trigger judgment module.

[0087] In the embodiment of the present application, the pollution change judgment condition is used to judge whether water quality change of a river section is caused by pollution transmission. The judgment is not based on abnormal value of a single water quality index at a single time point, but is based on judgment basis formed by comprehensively considering amplitude characteristics, change direction characteristics and time duration characteristics of water quality change.

[0088] Specifically, the pollution change determination condition at least includes the following aspects: one is the deviation degree of the current water quality index change relative to the historical normal change range, which is used to reflect whether the water quality change exceeds the normal fluctuation interval of the river section in the natural running state; two is whether the water quality change maintains consistent change direction in continuous multiple collection time points, which is used to distinguish transient fluctuation and continuous change; three is to compare the water quality change with the water level change record and seasonal change characteristics for time consistency, which is used to exclude non-pollution disturbance caused by hydrological condition change or periodic factors. When the water quality change meets the above conditions at the same time, it is determined that the river section has pollution change.

[0089] Through the setting of the above determination condition, the identification of pollution change is established on the basis of continuous change characteristics and multi-factor exclusion, avoiding misjudgment caused by single abnormal data or natural fluctuation.

[0090] In the embodiment of the present application, the river section response parameter is used to characterize the response characteristics of water quality change in the transmission process between different river sections, which is used to constrain and correct the step-by-step deduction process of pollution change in the cross-regional transmission path.

[0091] The river section response parameter can be understood as a set of parameters reflecting the response relationship of a specific river section to the upstream water quality change, and its value state is used to describe the change direction maintaining property, change amplitude attenuation or amplification characteristics of the water quality change in the river section. The parameter is not fixed, but is set based on the actual water quality response of the river section in the historical pollution transmission process, and is updated continuously through feedback during system operation.

[0092] In the initial state, the river section response parameter can be derived from historical water quality monitoring data statistics, existing hydrological or water environment management experience, or interval setting according to the spatial position type of the river section; in the system operation process, when there is a stable deviation between the actual water quality change after dispatching and the deduction result, the river section response parameter is updated through the feedback correction mechanism, so that it gradually fits the actual transmission characteristics.

[0093] By introducing the updateable river section response parameter, the cross-regional water quality deduction process can have self-adaptive adjustment ability while maintaining continuity.

[0094] In the embodiment of the present application, the treatment control threshold is used as the judgment basis for triggering the coordinated treatment scheduling, which is used to characterize the control limit of the specific river section in the water environment management which needs to start the treatment or scheduling measures.

[0095] The governance control threshold can be set for different river sections and different water quality indexes, and the value can be determined according to national or local water environmental quality standards, control requirements of the sea section, basin governance targets or established management requirements of the administrative region. For different river sections in the same river, due to different functional positioning, ecological sensitivity or different influence degree on the sea, the corresponding governance control threshold can be different.

[0096] During the operation of the system, by comparing the deduced water quality state with the governance control threshold of the corresponding river section, it is judged whether the pollution change can reach the degree that needs to take governance measures in the future period, so as to realize the forward-looking scheduling decision based on the deduction result.

[0097] Through the setting of the governance control threshold, the trigger of the collaborative governance scheduling is established on the basis of clear management targets, avoiding that the scheduling decision only relies on experience judgment or the instantaneous monitoring result of a single river section.

[0098] In a preferred embodiment of the present application, the river section pollution change identification module comprises:

[0099] A water quality time series data set screening unit is used to extract the continuous collection data section corresponding to the same river section and the same water quality index from the water quality time series data set, and eliminate the collection time period with scheduling intervention record, to generate candidate historical time series data;

[0100] A reference change time series data generation unit is used to reorganize the candidate historical time series data in the order of collection time, to generate reference change time series data representing the water quality change range of the river section in the normal state;

[0101] A current change feature data generation unit is used to select the water quality data of the current collection time point and the previous collection time point from the water quality time series data set, to extract the change direction and change amplitude, and generate the current change feature data;

[0102] A change persistence determination result generation unit is used to time-align and compare the current change feature data with the reference change time series data, and determine whether the current change feature data maintains consistent change direction at continuous multiple collection time points, to generate the change persistence determination result;

[0103] A non-pollution disturbance exclusion result generation unit is used to, when the change persistence determination result meets the consistent change direction, time-consistency compare the water quality change and water level change record in the corresponding time period and the historical seasonal change record, to generate the non-pollution disturbance exclusion result;

[0104] The pollution change river section identification data generation unit is configured to mark the corresponding river section as a pollution change river section and generate pollution change river section identification data when the non-pollution disturbance exclusion result shows that the water quality change does not correspond to the water level change record and the historical seasonal change record.

[0105] In the embodiment of the present application, the continuous data of the same river section and the same water quality index in the water quality time series data set is filtered, and the collection time period with the scheduling intervention record is removed, so that the data used for subsequent analysis can truly reflect the water quality change of the river section in the natural running state, and the interference of the treatment measures on the pollution change judgment is avoided. On this basis, by constructing the baseline change time series data and comparing with the current change characteristics, the change persistence judgment and the non-pollution disturbance exclusion process are introduced, so that the judgment of water quality change is no longer dependent on the anomaly of a single time point, but is confirmed based on the continuous change characteristics, thereby reducing the misjudgment risk caused by water level fluctuation or seasonal change, and making the pollution change river section identification result consistent with the actual pollution transmission situation.

[0106] In the embodiment of the present application, the non-pollution disturbance exclusion result generation unit is to further exclude the judgment of whether the change is caused by non-pollution factors on the premise that the change persistence judgment result has shown that the water quality change maintains the consistent change direction in the continuous multiple collection time points, and the specific implementation steps can include the following processes:

[0107] Firstly, the target time period for which the non-pollution disturbance exclusion analysis needs to be performed is determined. The time period corresponds to the continuous collection time point interval covered by the change persistence judgment result, that is, the time range in which the water quality index continuously presents the same direction change.

[0108] Subsequently, the water level change record corresponding to the target time period is obtained from the hydrological monitoring system or the same source data platform, and the water level data is subjected to time alignment processing, so that the water level change record and the water quality collection time point maintain one-to-one correspondence. By calculating the water level change amplitude and the change trend, it is judged whether there is obvious water rising, water falling or water transfer behavior in the target time period.

[0109] At the same time, the historical seasonal change record data is called, which can be constructed based on the multi-year same period water quality statistical result, and is used to represent the typical change characteristics of the water quality index of the river section in the same season and the same time scale. The water quality change trend in the target time period is compared with the historical seasonal change characteristics, and it is judged whether the current change conforms to the seasonal law.

[0110] After the above comparison is completed, a non-pollution disturbance exclusion determination is performed: when the water quality change trend in the target time period is highly consistent in time with the water level change record, or has a corresponding relationship with the historical seasonal change characteristics in the change direction and the change amplitude, it is determined that the water quality change is caused by non-pollution disturbance factors; when the water quality change does not form a consistent corresponding relationship in time with the water level change or the seasonal change, a non-pollution disturbance exclusion result is generated, indicating that the water quality change does not belong to identifiable non-pollution disturbance.

[0111] Through the above steps, the non-pollution disturbance exclusion result is established on the basis of time consistency and change trend comparison, thereby providing reliable support for subsequent pollution change river section identification.

[0112] In a preferred embodiment of the present application, the transmission state dynamic deduction module comprises:

[0113] An initial change state determination unit is configured to extract the water quality change amount of the corresponding river section according to the pollution change river section identification data, and generate initial change state data as a deduction starting point;

[0114] A transmission level construction unit is configured to sequentially sort the river sections in the cross-regional transmission path according to the actual flow direction sequence of the river into the sea, and form transmission level structure data from upstream to downstream;

[0115] A level change transmission unit is configured to sequentially transmit the initial change state data to the adjacent downstream level according to the transmission level structure data, and generate corresponding intermediate transmission state data at each level;

[0116] A level response correction unit is configured to compare the intermediate transmission state data with the value state of the river section response parameter in the historical pollution transmission process at each level, and when the change direction of the two in the same time period is inconsistent, or the change amplitude exceeds the historical response range represented by the river section response parameter, the change amplitude of the intermediate transmission state data is corrected to generate level deduction state data of the river section at the level;

[0117] A deduction continuity verification unit is configured to verify the change direction consistency and change continuity of the level deduction state data of adjacent levels, and generate deduction water quality state data that passes the verification.

[0118] In the embodiment of the present application, by taking the pollution change river section as the starting point of deduction, and constructing the transmission hierarchical structure from upstream to downstream according to the actual flow direction of the river into the sea, the water quality change state can be sequentially transmitted according to the spatial relationship between the river sections. In the process of transmission, the intermediate transmission state is modified by introducing the river section response parameter, so that the performance of water quality change in different river sections can be adjusted in combination with the historical transmission characteristics, thereby avoiding the deviation caused by simple linear transmission. At the same time, by checking the continuity and direction consistency of the adjacent hierarchical deduction results, the final output of the deduction water quality state data maintains the continuity in time and space, which provides a stable state basis for the management and evaluation of the downstream river section.

[0119] In a preferred embodiment of the present application, the scheduling execution feedback correction module comprises:

[0120] A scheduling impact river section determination unit is configured to determine the range of river sections actually affected by the scheduling measures according to the content of the collaborative governance scheduling request, and generate scheduling impact river section data;

[0121] A water quality time sequence reconstruction unit is configured to reconstruct the water quality time sequence data set of the corresponding river section at a plurality of continuous collection time points after the completion of the scheduling execution according to the scheduling impact river section data;

[0122] A deduction deviation generation unit is configured to compare the water quality time sequence data set with the deduction water quality state data generated before the scheduling, and generate deduction deviation data reflecting the difference between the actual change and the deduction result;

[0123] A deviation source determination result generation unit is configured to compare the time period corresponding to the deduction deviation data with the scheduling implementation time period in the scheduling execution record section by section, and generate a deviation source determination result indicating that the deviation is caused by the influence of the scheduling measures when the deviation change and the scheduling implementation time period are time consistent, and generate a deviation source determination result indicating that the deviation is caused by the influence of non-scheduling factors when the deviation change is not corresponding to any scheduling implementation time period;

[0124] A response parameter correction unit is configured to correct and update the river section response parameter of the corresponding river section in the transmission state dynamic deduction module when the deviation source determination result indicates that the deviation is caused by the scheduling measures, and generate the updated river section response parameter;

[0125] A correction result writing unit is configured to write the updated river section response parameter to the transmission state dynamic deduction module for subsequent cross-regional deduction processing of pollution change.

[0126] In the embodiment of the present application, after the cooperative governance scheduling request is executed, the range of the river section actually affected by the scheduling measure is determined, and the water quality time series data set of the corresponding river section is reconstructed, so that the water quality change after the scheduling can be compared and analyzed in the same data form as before the scheduling. By generating the deduction deviation and combining the scheduling implementation time period for source determination, the system can distinguish between changes caused by scheduling measures and changes caused by non-scheduling factors, thereby avoiding mistaking natural fluctuations as scheduling effects. On this basis, the river section response parameters are updated and written back to the deduction process, so that subsequent pollution change deduction can reflect the latest actual response, thereby maintaining the continuous adaptability of the system in multiple scheduling cycles.

[0127] In a preferred embodiment of the present application, the hierarchical response correction unit comprises:

[0128] A change direction determination result generation subunit is configured to compare and process the intermediate transfer state data and the river section response parameters of the corresponding hierarchical river section in the historical pollution transmission process, determine whether the change directions of the two are consistent in the same time period, and generate a change direction determination result.

[0129] A change amplitude over-limit determination result generation subunit is configured to, when the change direction determination result indicates that the change directions are consistent, compare and process the change amplitude of the intermediate transfer state data and the historical response range represented by the river section response parameters, determine whether the change amplitude exceeds the historical response range, and generate a change amplitude over-limit determination result.

[0130] A correction trigger result generation subunit is configured to, according to the change direction determination result and the change amplitude over-limit determination result, generate a correction trigger result for triggering correction of the change amplitude of the intermediate transfer state data when the change direction determination result indicates that the change directions are inconsistent, or the change amplitude over-limit determination result indicates that the change amplitude exceeds the historical response range, and correct the change amplitude of the intermediate transfer state data according to the correction trigger result to generate the hierarchical deduction state data of the hierarchical river section.

[0131] In the embodiment of the present application, by comparing and processing the intermediate transfer state data and the river section response parameters in the historical pollution transmission process, and determining from two dimensions of change direction and change amplitude, the water quality change correction is no longer dependent on a single condition, but is based on the joint constraints of direction consistency and amplitude rationality. When the water quality change direction is abnormal or the change amplitude exceeds the historical response range, the targeted correction processing is triggered, so that the hierarchical deduction state data generated in the deduction process can be corrected in time, thereby avoiding the amplification or weakening of the pollution change in the cross-regional transmission process, and improving the matching degree between the hierarchical deduction result and the historical transmission law.

[0132] In a preferred embodiment of the present application, the deduced continuity verification unit comprises:

[0133] The cross-layer change consistency detection result generation subunit is configured to perform contrast detection on the finally determined hierarchical deduced state data in the corresponding change direction in adjacent transmission layers, and generate a cross-layer change consistency detection result.

[0134] The stability confirmation result generation subunit is configured to generate a stability confirmation result when the cross-layer change consistency detection result indicates that the hierarchical deduced state data maintains consistent change direction in at least two adjacent transmission layers.

[0135] And when the stability confirmation result indicates that the verification is passed, the corresponding hierarchical deduced state data is determined as the deduced water quality state data that passes the verification.

[0136] In the embodiment of the present application, the change direction of the finally determined hierarchical deduced state data in adjacent transmission layers is detected for consistency, and the stability of multiple layers is confirmed, so that the deduced result is not only reasonable at the single river section level, but also maintains continuity in the cross-layer transmission process. When the deduced result continuously presents consistent change trend in multiple adjacent river sections, the system determines it as a verification passed state, thereby avoiding introducing new discontinuous changes due to local abnormal correction, and making the finally formed deduced water quality state data more consistent with the overall characteristics of the pollution along the river transmission.

[0137] In a preferred embodiment of the present application, the hierarchical response correction unit further comprises:

[0138] The river section space type identification result generation subunit is configured to determine the space position type of the river section according to the space position of the river section in the cross-regional transmission path after the change amplitude correction of the intermediate transmission state data is triggered by the correction trigger result generation subunit, and generate a river section space type identification result.

[0139] The parameter value state selection result generation subunit is configured to select the value state corresponding to the space position type from the river section response parameters according to the river section space type identification result, and generate a parameter value state selection result.

[0140] The differential correction result generation subunit is configured to perform further change amplitude correction processing on the intermediate transmission state data corrected by the correction trigger result generation subunit according to the parameter value state selection result, generate a differential correction result matched with the space position type of the river section, and generate the updated hierarchical deduced state data of the hierarchical river section corresponding to the differential correction result.

[0141] In the embodiment of the present application, on the basis of triggering the water quality change correction, the spatial position type of the river section in the cross-regional transmission path is identified, so that the subsequent correction process can distinguish the response differences of river sections in different spatial positions, and select the value state of the river section response parameter matched with the spatial position type for further correction processing. By implementing differential correction on the corrected intermediate transmission state data, the generated hierarchical deduction state data can reflect the historical response characteristics and spatial position characteristics at the same time, thereby avoiding the deduction deviation caused by the same correction method for different types of river sections, and making the cross-regional water quality deduction result have better adaptability in the spatial level.

[0142] In a preferred embodiment of the present application, the response parameter correction unit comprises:

[0143] The deviation continuity determination result generation subunit is configured to perform contrast processing on the deduction deviation change directions corresponding to adjacent multiple dispatches according to the deduction deviation data generated after the execution of multiple collaborative governance dispatch requests, determine whether the deduction deviation keeps consistent change direction in continuous multiple dispatches, and generate a deviation continuity determination result.

[0144] The parameter update trigger confirmation result generation subunit is configured to generate a parameter update trigger confirmation result for triggering the correction and update of the river section response parameter of the corresponding river section when the deviation continuity determination result indicates that the deduction deviation keeps consistent change direction in continuous multiple dispatches.

[0145] The parameter correction execution result generation subunit is configured to perform correction and update processing on the river section response parameter of the corresponding river section according to the parameter update trigger confirmation result, and generate an updated river section response parameter according to the parameter correction execution result.

[0146] In the embodiment of the present application, the continuity of the deduction deviation formed after the execution of multiple collaborative governance dispatches is determined, so that the update of the river section response parameter is no longer based on the single dispatch result, but is established on the basis of the consistent change trend of multiple dispatches, thereby avoiding the interference of accidental fluctuations on the parameter correction. After confirming that the deduction deviation keeps consistent change direction in the continuous dispatch process, the correction and update of the river section response parameter is triggered, so that the parameter adjustment can reflect the long-term influence of the dispatch measures on the water quality change, and provide a more stable parameter basis for subsequent cross-regional water quality deduction.

[0147] In a preferred embodiment of the present application, the response parameter correction unit further comprises:

[0148] The historical response range determination result generation subunit is configured to determine the historical response range of the corresponding river section in the river section response parameter update stage according to the value state of the river section response parameter of the corresponding river section in the historical pollution transmission process, and generate a historical response range determination result.

[0149] The parameter update amplitude limitation result generation subunit is configured to limit the change amplitude of the river section response parameter in the parameter correction execution result according to the historical response range determination result, and generate a parameter update amplitude limitation result;

[0150] The limited parameter update confirmation result generation subunit is configured to confirm that the update result of the river section response parameter is within the historical response range according to the parameter update amplitude limitation result, and determine the update result as the updated river section response parameter.

[0151] In the embodiment of the present application, by introducing the historical response range constraint in the river section response parameter update stage, the parameter correction process can be adjusted within the existing transmission characteristic range, avoiding the deviation of the parameter from the historical reasonable interval due to continuous correction. After limiting the parameter update amplitude and confirming that the update result is within the historical response range, the update result is determined as the new river section response parameter, so that the parameter update process maintains the adaptability while maintaining the overall stability, thereby providing continuous and controllable parameter support for cross-regional water quality change deduction.

[0152] In a preferred embodiment of the present application, the cooperative scheduling trigger determination module comprises:

[0153] The linkage river section set determination result generation subunit is configured to determine a plurality of downstream river sections located on the same pollution change transmission path according to the cross-regional transmission path, and generate a linkage river section set;

[0154] The linkage deduction state collection result generation subunit is configured to extract the deduction water quality state data corresponding to each river section in the linkage river section set from the deduction water quality state data, and generate a linkage deduction state collection result;

[0155] The linkage overrun determination result generation subunit is configured to compare each river section deduction water quality state data in the linkage deduction state collection result with the corresponding river section management control threshold, and determine whether there are multiple river sections reaching the management control threshold at the same deduction time period, and generate a linkage overrun determination result;

[0156] The cooperative scheduling trigger confirmation result generation subunit is configured to generate a cooperative scheduling trigger confirmation result for confirming the trigger of the cooperative management scheduling request covering the linkage river section set when the linkage overrun determination result indicates that there are multiple river sections reaching the management control threshold at the same time.

[0157] In the embodiment of the present application, the linkage river section set is formed by determining multiple downstream river sections on the same cross-regional transmission path, and the corresponding deduced water quality state data of each river section is collected for unified judgment, so that the trigger of collaborative governance and scheduling is no longer dependent on the threshold overrun of a single river section, but is based on the linkage change of multiple river sections in the same deduced time period. When multiple river sections simultaneously reach the governance control threshold, the system generates a collaborative governance and scheduling request covering the linkage river section set, so that the scheduling decision can reflect the overall trend of cross-regional pollution transmission, and support the formation of coordinated governance response among multiple administrative regions.

[0158] In the embodiment of the present application, the linkage river section set determination result generation subunit is used to determine the range of downstream river sections that need to be judged in the linkage in the collaborative scheduling trigger judgment process, and the specific implementation steps can include the following processes:

[0159] Firstly, based on the cross-regional transmission path data output by the cross-regional transmission path analysis module, the downstream river section set on the same transmission path as the current pollution change river section is identified. The transmission path is organized in the order of the actual flow direction of the river into the sea, and contains multiple continuous river sections from the upstream to the estuary.

[0160] Subsequently, taking the position of the pollution change river section in the cross-regional transmission path as the starting point, the river sections downstream thereof are selected as candidate linkage river sections by traversing in the downstream direction of the river section by section. In the traversal process, the traversal range can be determined according to the preset path termination condition, such as reaching the estuary section, the administrative boundary node or the path end river section.

[0161] After generating the candidate linkage river section set, the river section set can be further filtered according to the governance and management requirements, such as only retaining the river sections with governance control threshold configuration, or only retaining the river sections with deduced water quality state data in the same deduced time window, to ensure that the subsequent linkage judgment has a complete data basis.

[0162] Finally, the filtered multiple downstream river sections are determined as the linkage river section set, and the corresponding linkage river section set determination result is generated for subsequent linkage deduced state collection and linkage overrun judgment processing.

[0163] Through the above steps, the determination of the linkage river section set is strictly based on the actual transmission path of the pollution change, rather than the administrative division or the fixed number rule, thereby providing a river section range basis matched with the pollution transmission process for cross-regional collaborative scheduling.

[0164] The above is the preferred embodiment of the present application. It should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered as the protection scope of the present application.

Claims

1. A trans-regional pollution collaborative governance and scheduling system for a river flowing into the sea, characterized in that, The system comprises: a water quality time series data construction module, configured to collect water quality index data at uniform time intervals for multiple fixed river sections in each administrative region along the course of an estuary river, and to construct a water quality time series data set for the corresponding river section; a river section pollution change identification module, configured to extract water quality change characteristics from the water quality time series data set, and to generate pollution change river section identification data when a pollution change judgment condition of the corresponding river section is met; a cross-regional transmission path analysis module, configured to connect pollution change river sections and downstream administrative region river sections in a path according to an actual flow direction sequence of the estuary river, to form a cross-regional transmission path for the step-by-step transmission of pollution change river sections to downstream river sections; a transmission state dynamic deduction module, configured to correct the water quality index change value of the pollution change river section step by step along the cross-regional transmission path based on updateable river section response parameters, to generate deduced water quality state data corresponding to the downstream river section; a collaborative scheduling trigger judgment module, configured to compare the deduced water quality state data with a management control threshold of the downstream river section, and to generate a collaborative management scheduling request when a scheduling trigger condition is reached; a scheduling execution feedback correction module, configured to reconstruct a water quality time series data set for the affected river section after the execution of the collaborative management scheduling request, and to update the river section response parameters according to the water quality time series data set, to form a closed-loop scheduling process for cross-regional pollution management; the scheduling execution feedback correction module comprises: a scheduling affected river section determination unit, configured to determine the range of river sections actually affected by the scheduling measures according to the content of the collaborative management scheduling request, and to generate scheduling affected river section data; a post-scheduling water quality time series reconstruction unit, configured to reconstruct the water quality time series data set for the corresponding river section at a plurality of collection time points after the completion of the scheduling execution according to the scheduling affected river section data; a deduction deviation generation unit, configured to compare the water quality time series data set with the deduced water quality state data generated before the scheduling in time, to generate deduction deviation data reflecting the difference between the actual change and the deduction result; a deviation source judgment result generation unit, configured to compare the time period corresponding to the deduction deviation data with the scheduling implementation time period in the scheduling execution record section by section, and to generate a deviation source judgment result indicating that the deviation is caused by the influence of the scheduling measures when the deviation change and the scheduling implementation time period are time consistent, and to generate a deviation source judgment result indicating that the deviation is caused by the influence of non-scheduling factors when the deviation change is not corresponding to any scheduling implementation time period; a response parameter correction unit, configured to correct and update the river section response parameters of the corresponding river section in the transmission state dynamic deduction module when the deviation source judgment result indicates that the deviation is caused by the scheduling measures, to generate updated river section response parameters; a correction result write-back unit, configured to write the updated river section response parameters back to the transmission state dynamic deduction module, to be used for subsequent cross-regional deduction processing of pollution changes.

2. The cross-regional pollution collaborative governance and scheduling system for a river flowing into a sea according to claim 1, characterized in that, the river section pollution change identification module comprises: The water quality time series data set screening unit is configured to extract continuous collection data segments corresponding to the same river section and the same water quality index from the water quality time series data set, and eliminate collection time segments with scheduling intervention records, to generate candidate historical time series data; The baseline change time series data generation unit is configured to reorganize the candidate historical time series data in the order of collection time, to generate baseline change time series data representing the water quality change range of the river section in the normal state; The current change characteristic data generation unit is configured to select water quality data at a current collection time point and a previous collection time point from the water quality time series data set, extract a change direction and a change amplitude, and generate current change characteristic data; The change persistence determination result generation unit is configured to align and compare the current change characteristic data with the baseline change time series data in time, and determine whether the current change characteristic data maintains a consistent change direction at consecutive collection time points, to generate a change persistence determination result; The non-pollution disturbance exclusion result generation unit is configured to, when the change persistence determination result satisfies the consistent change direction, perform time consistency comparison on water quality change and water level change records and historical seasonal change records in a corresponding time period, to generate a non-pollution disturbance exclusion result; The pollution change river section identification data generation unit is configured to, when the non-pollution disturbance exclusion result indicates that the water quality change does not correspond to the water level change records and the historical seasonal change records, mark the corresponding river section as a pollution change river section, and generate pollution change river section identification data.

3. The cross-regional pollution collaborative governance and scheduling system for a river flowing into a sea according to claim 1, characterized in that, The transmission state dynamic deduction module includes: The initial change state determination unit is configured to extract a water quality change amount of the corresponding river section according to the pollution change river section identification data, to generate initial change state data as a deduction starting point; The transmission level construction unit is configured to sort the river sections in the cross-regional transmission path in sequence according to the actual flow direction sequence of the river into the sea, to form transmission level structure data from upstream to downstream; The level change transmission unit is configured to sequentially transmit the initial change state data to adjacent downstream levels according to the transmission level structure data, and generate corresponding intermediate transmission state data at each level; The level response correction unit is configured to, at each level, compare the intermediate transmission state data with the value state of the river section response parameter of the river section in the historical pollution transmission process, and when the change directions of the two in the same time period are inconsistent, or the change amplitudes exceed the historical response range represented by the river section response parameter, correct the change amplitude of the intermediate transmission state data, to generate level deduction state data of the river section at the level; The deduction continuity verification unit is configured to verify the change direction consistency and change continuity of the level deduction state data of adjacent levels, to generate deduction water quality state data that passes the verification.

4. The cross-regional pollution collaborative governance and scheduling system of a river flowing into a sea according to claim 3, characterized in that, The level response correction unit includes: The change direction determination result generation subunit is configured to compare the intermediate transmission state data with the value state of the river section response parameter of the corresponding level river section in the historical pollution transmission process, to determine whether the change directions of the two in the same time period are consistent, and generate a change direction determination result. The change range over-limit determination result generation subunit is configured to, when the change direction determination result indicates that the change directions are consistent, compare the change range of the intermediate transmission state data with a historical response range represented by the river section response parameter, determine whether the change range exceeds the historical response range, and generate a change range over-limit determination result; The correction trigger result generation subunit is configured to, according to the change direction determination result and the change range over-limit determination result, when the change direction determination result indicates that the change directions are inconsistent, or the change range over-limit determination result indicates that the change range exceeds the historical response range, generate a correction trigger result for triggering correction of the change range of the intermediate transmission state data, and correct the change range of the intermediate transmission state data according to the correction trigger result to generate the hierarchical deduction state data of the hierarchical river section.

5. The cross-regional pollution collaborative governance and scheduling system for a river flowing into a sea according to claim 3, characterized in that, The deduction continuity verification unit comprises: The cross-hierarchical change consistency detection result generation subunit is configured to compare the finally determined hierarchical deduction state data with the corresponding change directions in adjacent transmission hierarchies to generate a cross-hierarchical change consistency detection result; The stability confirmation result generation subunit is configured to, when the cross-hierarchical change consistency detection result indicates that the hierarchical deduction state data maintains consistent change directions in at least two adjacent transmission hierarchies, generate a stability confirmation result, and when the stability confirmation result indicates that the verification is passed, determine the corresponding hierarchical deduction state data as the deduction water quality state data that passes the verification.

6. The cross-regional pollution collaborative governance and scheduling system for a river flowing into a sea according to claim 4, characterized in that, The hierarchical response correction unit further comprises: The river section space type identification result generation subunit is configured to, after the correction trigger result generation subunit triggers correction of the change range of the intermediate transmission state data, determine the space position type of the river section according to the space position of the corresponding river section in the cross-regional transmission path in the intermediate transmission state data, and generate a river section space type identification result; The parameter value state selection result generation subunit is configured to select a value state corresponding to the space position type from the river section response parameter according to the river section space type identification result, and generate a parameter value state selection result; The differential correction result generation subunit is configured to correct the change range of the intermediate transmission state data that is corrected by the correction trigger result generation subunit according to the parameter value state selection result, generate a differential correction result matched with the space position type of the river section, and generate updated hierarchical deduction state data of the hierarchical river section according to the differential correction result.

7. The cross-regional pollution collaborative governance and scheduling system for a river flowing into a sea according to claim 1, characterized in that, The response parameter correction unit comprises: The deviation continuity determination result generation subunit is configured to compare the change directions of the deduction deviation data generated after multiple collaborative governance dispatching requests are executed with the deduction deviation data generated after multiple collaborative governance dispatching requests are executed, determine whether the deduction deviation maintains consistent change directions in continuous multiple dispatches, and generate a deviation continuity determination result; The parameter update trigger confirmation result generation subunit is configured to, when the deviation continuity determination result indicates that the deduction deviation maintains consistent change directions in continuous multiple dispatches, generate a parameter update trigger confirmation result for triggering correction and update of the river section response parameter of the corresponding river section. The parameter correction execution result generation subunit is configured to perform correction update processing on the river reach response parameter of the corresponding river reach according to the parameter update trigger confirmation result, and generate the updated river reach response parameter according to the parameter correction execution result.

8. The cross-regional pollution collaborative governance and scheduling system of a river flowing into a sea according to claim 7, characterized in that, The response parameter correction unit further includes: The historical response range determination result generation subunit is configured to determine the historical response range of the corresponding river reach according to the value state of the river reach response parameter of the corresponding river reach in the historical pollution transmission process, and generate the historical response range determination result. The parameter update amplitude limitation result generation subunit is configured to limit the change amplitude of the river reach response parameter in the parameter correction execution result according to the historical response range determination result, and generate the parameter update amplitude limitation result. The limited parameter update confirmation result generation subunit is configured to confirm that the update result of the river reach response parameter is within the historical response range according to the parameter update amplitude limitation result, and determine the update result as the updated river reach response parameter.

9. The cross-regional pollution collaborative governance and scheduling system for a river flowing into a sea according to claim 1, characterized in that, The cooperative scheduling trigger determination module includes: The linkage river reach set determination result generation subunit is configured to determine a plurality of downstream river reaches located on the same pollution change transmission path according to the cross-regional transmission path, and generate the linkage river reach set. The linkage deduction state collection result generation subunit is configured to extract the deduction water quality state data corresponding to each river reach in the linkage river reach set from the deduction water quality state data, and generate the linkage deduction state collection result. The linkage over-limit determination result generation subunit is configured to compare each river reach deduction water quality state data in the linkage deduction state collection result with the management control threshold of the corresponding river reach, and determine whether a plurality of river reaches simultaneously reach the management control threshold in the same deduction time period, and generate the linkage over-limit determination result. The cooperative scheduling trigger confirmation result generation subunit is configured to generate the cooperative scheduling trigger confirmation result for confirming the trigger of the cooperative management scheduling request covering the linkage river reach set when the linkage over-limit determination result indicates that a plurality of river reaches simultaneously reach the management control threshold.

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