Method and system for intelligent decision management of water conservancy data based on beidou-3 unified time scale

Abstract

The application discloses a Beidou-3 unified time scale water conservancy data intelligent decision management method and system, and relates to the technical field of water conservancy management. The detection end collects and packs water conservancy state data packets and uploads them to the decision management end; the decision management end screens the positioning coordinates and water level height of each detection point of the water conservancy facility at each safety detection time in a safe state; the safe position distribution range of the detection point in each water level height interval is obtained; the positioning coordinates and water level height of each detection point of the water conservancy facility are brought into the safe position distribution range of the detection point in each water level height interval, and whether the positioning coordinates of the detection point exceed the corresponding safe position distribution range is judged; if yes, the detection point is judged to be unsafe, and early warning decision is made, and an early warning signal is sent; if not, no early warning processing is performed; the alarm end receives the early warning signal and sends an alarm. The application improves the accuracy of decision early warning.

Description

Technical Field

[0001] This invention belongs to the field of water conservancy management technology, and in particular relates to an intelligent decision-making management method and system based on BeiDou-3 unified time-scaled water conservancy data. Background Technology

[0002] The safe and stable operation of water conservancy facilities (such as reservoirs, dams, dikes, and sluices) is directly related to the national economy and people's livelihood. To monitor the operational status of these facilities in real time, a large number of monitoring devices are typically deployed on and around the facilities. These include satellite positioning receivers for monitoring dam deformation and displacement, and water level gauges for monitoring water levels in reservoirs or rivers. By conducting long-term observations of the location coordinates and water levels at these monitoring points, early warnings can be issued before any potential danger occurs.

[0003] However, in actual operation and intelligent decision-making management, early warning mechanisms often employ static, fixed thresholds, severing the dynamic physical connection between location coordinates and water level. Most water conservancy facilities use a one-size-fits-all absolute threshold method for safety early warning, making the early warning system highly susceptible to false alarms or missed alarms. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent decision-making and management method and system based on BeiDou-3 unified time-scaled water conservancy data. By jointly analyzing and making decisions and providing early warnings based on changes in water level and the positioning coordinates of detection points, the accuracy of decision-making and early warning is improved.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: This invention provides an intelligent decision-making and management method for water conservancy data based on the unified time-scale of BeiDou-3, including: Receive the location coordinates and water level of each monitoring point of the water conservancy facility at each monitoring time; The location coordinates and water level of each monitoring point of the water conservancy facility under safe conditions at each safe monitoring time were selected. For each detection point, the location coordinates of the detection point at the safe detection time are correlated with the corresponding water level height to obtain the safe location distribution range of the detection point in each water level height interval. Substitute the location coordinates and water level of each monitoring point of the water conservancy facility into the safe location distribution range of the monitoring point in each water level interval, and determine whether the location coordinates of the monitoring point exceed the corresponding safe location distribution range. If so, the detection point is deemed unsafe, and an early warning decision is made, issuing an early warning signal; If not, no warning will be issued.

[0006] This invention also discloses an intelligent decision-making and management method for water conservancy data based on the unified time-scale of BeiDou-3, including: Receive early warning signals and issue alarms.

[0007] This invention also discloses an intelligent decision-making management system for water conservancy data based on the unified time-scale of BeiDou-3, characterized in that it includes: The detection terminal is set at each detection point of the underwater facility to collect the location coordinates and water level of the corresponding detection point and record the corresponding collection time. The location coordinates of the detection points, water level height, and corresponding collection time are packaged into a water conservancy status data package and uploaded to the decision management terminal. The decision management terminal is used to receive and extract the location coordinates and water level of each monitoring point of the water conservancy facility at each monitoring time; The location coordinates and water level of each monitoring point of the water conservancy facility under safe conditions at each safe monitoring time were selected. For each detection point, the location coordinates of the detection point at the safe detection time are correlated with the corresponding water level height to obtain the safe location distribution range of the detection point in each water level height interval. Substitute the location coordinates and water level of each monitoring point of the water conservancy facility into the safe location distribution range of the monitoring point in each water level interval, and determine whether the location coordinates of the monitoring point exceed the corresponding safe location distribution range. If so, the detection point is deemed unsafe, and an early warning decision is made, issuing an early warning signal; If not, no warning will be issued; The alarm terminal receives the warning signal and issues an alarm.

[0008] This invention ensures absolute synchronization between extracted positioning coordinates and water level height in the time dimension through the unified time standard of BeiDou-3, completely eliminating timing misalignment caused by clock drift or transmission delay of multi-source monitoring equipment, and providing a highly confident data foundation for the causal correlation analysis of water pressure and deformation. This invention abandons the traditional fixed deformation alarm threshold and innovatively mines historical safety data. For each independent detection point on the water conservancy facility, a dedicated safe location distribution range is established under different water level height intervals. This refined modeling fully considers the physical laws of normal elastic deformation of the facility under different water level loads. During real-time decision-making, the system substitutes the current coordinates into the dynamic safety boundary of the corresponding water level interval for comparison. This mechanism effectively avoids the misjudgment of reasonable displacement as a danger under normal high water levels (such as during the flood season), or the omission of abnormal small displacements under low water levels (such as during normal water periods or dry seasons), significantly improving the scientific nature and accuracy of safety decisions for water conservancy facilities.

[0009] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the functional units and information flow of an embodiment of the intelligent decision-making management system for water conservancy data based on the BeiDou-3 unified time scale as described in this invention; Figure 2 This is a flowchart illustrating the steps of a decision management terminal according to an embodiment of the present invention; Figure 3 This is a flowchart illustrating step S3 of the present invention in one embodiment; Figure 4 This is a flowchart illustrating step S32 of the present invention in one embodiment; Figure 5 This is a flowchart illustrating step S33 of the present invention in one embodiment; Figure 6 This is a flowchart illustrating step S332 of the present invention in one embodiment; The attached diagram lists the components represented by each number as follows: 1-Detection end, 2-Decision management end, 3-Alarm end. Detailed Implementation

[0012] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0013] It should be noted that the terms "first," "second," etc., used in this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0014] Please see Figure 1 and Figure 2 As shown, the present invention provides an intelligent decision management system for water conservancy data based on the unified time scale of Beidou-3, which is divided into detection terminal 1, decision management terminal 2 and alarm terminal 3 in terms of functional units.

[0015] In this system, detection terminal 1 is installed at each detection point of the underwater facility to collect the location coordinates and water level of the corresponding detection point, and record the corresponding collection time. The collection time can be a timestamp generated by a clock signal transmitted by the BeiDou-3 satellite. The location coordinates, water level, and corresponding collection time of the detection point are then packaged into a water resources status data packet and uploaded to the decision-making and management terminal. The data packet can be transmitted via the BeiDou-3 satellite data link.

[0016] In this system, the decision management terminal 2 first executes step S1 to receive and extract the location coordinates and water level of each monitoring point of the water conservancy facility at each monitoring time. Next, it executes step S2 to filter the location coordinates and water level of each monitoring point at each safe monitoring time when the water conservancy facility is in a safe state, using this as sample data for correlation analysis. The safe monitoring time in this system refers to the monitoring time when the water conservancy facility is in a safe state, and this filtering is performed by staff.

[0017] Please see Figure 3 As shown, in the correlation analysis process, step S3 can be executed first to perform correlation analysis on the location coordinates of each detection point at the safe detection time and the corresponding water level height to obtain the safe location distribution range of the detection point in each water level height interval. Specifically, step S31 can be executed first to obtain the time periods corresponding to the detection point in the dry season, flood season, and normal water season. Next, step S32 can be executed to divide the water level height intervals according to the displacement of the location coordinates of the detection point at each detection time within the time period of the dry season, flood season, and normal water season.

[0018] Please see Figure 4 As shown, in the process of dividing water level height intervals, step S321 can first be executed to obtain the maximum distance between the positioning coordinates of the detection point at each detection time within the dry season, flood season, and normal water season, respectively, thus obtaining the maximum positioning distance difference of the detection point during the dry season, flood season, and normal water season. Next, step S322 can be executed to obtain the number of preset water level height intervals. Next, step S323 can be executed to allocate the number of preset water level height intervals according to the proportion between the maximum positioning distance differences of the detection point during the dry season, flood season, and normal water season, respectively, thus obtaining the number of water level height intervals allocated to the dry season, flood season, and normal water season. Finally, step S324 can be executed to evenly divide the dry season, flood season, and normal water season according to the number of water level height intervals allocated to them, thus obtaining multiple water level height intervals.

[0019] In the above process, the system extracts and calculates the maximum extreme values ​​of the location coordinate changes of the detection points during the dry season, flood season, and normal water season, thereby obtaining the maximum location distance difference specific to each hydrological period and objectively quantifying the degree of deformation intensity in different periods. Then, the system extracts the total number of pre-set water level height intervals and innovatively allocates the total number of intervals precisely to each water season according to the weight ratio of the maximum location distance difference in these three periods. This means that high-risk water seasons with greater displacement fluctuations will be allocated more intervals. Finally, based on the number of intervals allocated to each, the dry season, flood season, and normal water season are internally and uniformly divided, thus scientifically completing the adaptive division of multiple water level height intervals. This step ensures that the density of interval division highly matches the actual deformation characteristics.

[0020] Please continue reading. Figure 3 and Figure 5 As shown, after completing the water level height range, step S33 can be executed to obtain the displacement disturbance amplitude of the positioning coordinates based on the differences between the water level height and the corresponding positioning coordinates at each detection time. Specifically, step S331 can first be executed to extract the data features of the water level height and the corresponding positioning coordinates at each detection time as the hydraulic data features for that detection time. Next, step S332 can be executed to compare the differences between the hydraulic data features at each detection time, and obtain multiple concentrated distribution periods of hydraulic conditions based on the water level height range to which the water level height at each detection time belongs.

[0021] Please see Figure 6 As shown, in the process of dividing the concentrated distribution period of water conservancy status, step S3321 can be executed first to calculate the difference in water level height and the distance between positioning coordinates at two detection times. Next, step S3322 uses a unified unit system to accumulate the dimensionless values ​​of the difference in water level height and the distance between positioning coordinates at two detection times as the difference in water conservancy status between the two detection times. The result is used as the comprehensive status difference index between the two detection times. This index is only used to measure the overall degree of change in water level and spatial location between detection times, without assigning it specific physical dimensions. Its value is used for subsequent cluster comparison and is not used as a measure of absolute physical meaning. Then, step S3323 can be executed to select a detection time corresponding to a water level height within each water level height interval as a marked detection time. The selected marked detection time can be randomly selected or designated by staff. Next, step S3324 can be executed to divide the other detection times besides each marked detection time into the same time period with the marked detection time that has the smallest difference in water conservancy status, resulting in multiple concentrated distribution periods of water conservancy status. It should be noted that 'grouping into the same group' here is a clustering operation based on feature similarity, which aims to group detection times with similar states, rather than directly dividing time periods according to temporal continuity.

[0022] To avoid the unusable concentrated distribution periods of water resources status obtained at this point, verification is required. Verification begins with step S3325 to determine if the concentrated distribution periods of water resources status are continuous and if the water level corresponding to each detection time within each concentrated distribution period belongs to the same water level range. If so, the verification passes, and step S3326 is executed to obtain multiple concentrated distribution periods of water resources status. If not, the verification fails, and step S3327 is executed to reselect the marked detection times and return to steps S3324 to S3325 to redivide the concentrated distribution periods of water resources status until the judgment conditions are met. The detection times in each candidate group are sorted chronologically, and their continuity is checked. If the detection times within a group are temporally continuous, the group is confirmed as a concentrated distribution period of water resources status; if the detection times within a group are not temporally continuous, the group is split into multiple temporally continuous sub-intervals, each sub-interval being a separate concentrated distribution period of water resources status. Discrete times that cannot form valid continuous intervals are marked as isolated points and not included in the final time period division result. Through the above processing, it is ensured that each concentrated distribution period of water conservancy status is a valid period that is continuous in time and whose internal water level height belongs to the same water level height range. This avoids logical contradictions caused by clustering at discrete times. At the same time, subsequent verification steps only perform reasonableness checks on the confirmed continuous periods, and the problem of infinite loops will no longer occur.

[0023] First, the system calculates the difference in water level height and the distance to the location coordinates between each pair of detection times. After dimensionless processing, the values ​​are accumulated to accurately quantify the comprehensive differences in water conditions. Second, marker times are selected within each water level height interval, and other times are allocated to the nearest interval according to the principle of minimizing differences, initially dividing the system into multiple distribution time periods. Finally, the system introduces a strict verification mechanism to determine whether the divided time periods maintain temporal continuity and whether the water level heights of all times within a time period strictly belong to the same interval. If the verification fails, a closed-loop feedback is triggered, and marker times are reselected and iterated until a concentrated distribution time period that fully meets the continuity and interval consistency constraints is output. This step ensures the physical rationality and rigor of the data state division.

[0024] Please continue reading. Figure 3 and Figure 5 As shown, after obtaining multiple concentrated distribution periods of water conditions, the next step is to execute step S333 to obtain the displacement disturbance amplitude of the positioning coordinates based on the positioning coordinates and water level height at each detection time within each concentrated distribution period of water conditions.

[0025] In calculating the displacement disturbance amplitude of the positioning coordinates, the system statistically analyzes the duration of concentrated distribution periods of various hydrological conditions and calculates the proportional coefficient between the durations of each period, using this as a time weighting factor to characterize the stability of the condition. Then, the system extracts and calculates the maximum extreme value of the positioning coordinate change within each concentrated distribution period, i.e., obtains the maximum positioning distance within that local period. Finally, the system uses the aforementioned duration proportional coefficient as weights to perform a weighted average of the maximum positioning distances for each period. Through this spatiotemporal fusion algorithm, the system scientifically and accurately calculates the final positioning coordinate displacement disturbance amplitude of the detection point. This scheme fully considers the influence of the duration of different hydrological conditions on the overall deformation tolerance range, making the calculated disturbance amplitude more consistent with the actual physical evolution law of the water conservancy facilities.

[0026] In the above process, the system extracts the water level height and location coordinates at each detection moment, using them as unique hydraulic data features for that moment. The system then performs a horizontal comparison of the differences in data features across detection moments and deeply integrates the water level heights at each moment with the corresponding water level intervals, accurately dividing multiple concentrated periods of hydraulic conditions with similar patterns. Finally, for each concentrated period, the system comprehensively analyzes the coordinates and water level evolution details within that period, scientifically and quantitatively calculating the displacement disturbance amplitude unique to that detection point. This step, through multi-dimensional feature comparison and dynamic temporal aggregation, effectively filters out random fluctuation errors caused by environmental interference, providing accurate data support for the subsequent reasonable expansion of the safety boundary.

[0027] Please continue reading. Figure 3 As shown, after obtaining the displacement disturbance amplitude of the positioning coordinates, step S34 can be executed to expand the displacement disturbance amplitude outwards for the distribution range of the water level and corresponding positioning coordinates at each detection time within each water level height interval, thus obtaining the safe location distribution range of the detection point in each water level height interval. During operation, the system first divides the hydrological cycle into three typical periods: dry season, flood season, and normal water season. Secondly, based on the historical coordinate displacement change characteristics of the detection point during these three periods, the overall water level is scientifically divided into multiple subdivided water level intervals. On this basis, through in-depth calculation of the difference evolution between the water level and the corresponding positioning coordinates at each detection time, the unique displacement disturbance amplitude of the detection point is accurately quantified. Finally, the system reasonably expands the originally recorded water level and coordinate distribution range within each water level interval based on the disturbance amplitude calculated above, thereby scientifically and rigorously defining the final safe location distribution range of the detection point in different water level intervals. This process effectively improves the robustness and adaptability of the early warning benchmark.

[0028] Regarding expanding the displacement disturbance amplitude, in specific implementation, the system first divides the hydrological cycle into three typical periods: dry season, flood season, and normal water season, based on the time span. Secondly, based on the historical coordinate displacement change characteristics of the monitoring points during these three periods, the overall water level is divided into multiple subdivided water level intervals. On this basis, by analyzing the evolution of the difference between the water level at each monitoring moment and the corresponding positioning coordinates, the unique displacement disturbance amplitude of the monitoring point is calculated and quantified, denoted as ΔD. For each water level interval, the following geometric expansion calculation is performed: the positioning coordinates corresponding to all monitoring moments within the water level interval are extracted, and their minimum values ​​(Xmin, Ymin) and maximum values ​​(Xmax, Ymax) in the X and Y axes of the plane coordinate system are calculated respectively. The rectangular area enclosed by these maximum and minimum values ​​is the original distribution range. Then, the four boundaries of the original range are extended outwards by a parallel distance ΔD. The new boundaries are: Xmin' = Xmin - ΔD, Xmax' = Xmax + ΔD, Ymin' = Ymin - ΔD, Ymax' = Ymax + ΔD. The rectangular area enclosed by these four new boundaries represents the safe location range of the detection point within that water level range. If the positioning coordinates are three-dimensional spatial coordinates, the same extension is needed along the Z-axis: Zmin' = Zmin - ΔD, Zmax' = Zmax + ΔD. The extended cuboid region represents the three-dimensional safe location range.

[0029] During the expansion process, if the expanded boundary exceeds the effective constraint boundary of the physical space where the detection point is located (such as riverbanks, levees, the coverage area of ​​monitoring equipment, etc.), it is truncated based on the physical space boundary to ensure that the distribution range of safe locations does not exceed the actual monitorable area. This process transforms the abstract disturbance amplitude into a clear coordinate boundary increment, thereby scientifically and rigorously defining the final safe location distribution range of the detection point under different water level intervals, effectively improving the robustness and adaptability of the early warning benchmark.

[0030] Please continue reading. Figure 1 and Figure 2 As shown, after analyzing and obtaining the safe location distribution range of the detection points in each water level interval, step S4 can be executed to substitute the location coordinates and water level of each detection point of the hydraulic facility into the safe location distribution range of that detection point in each water level interval, and determine whether the location coordinates of the detection point exceed the corresponding safe location distribution range. If so, step S5 can be executed to determine that the detection point is unsafe, make an early warning decision, and issue an early warning signal. If the judgment result is negative, step S6 can be executed without issuing an early warning. This system is also equipped with an alarm terminal 3, which is matched with the detection terminal 1. During operation, it continuously attempts to receive early warning signals, and once an early warning signal is received, an alarm is issued.

[0031] This system primarily consists of a detection terminal, a decision-making and management terminal, and an alarm terminal working together. During operation, the detection terminals deployed on the hydraulic facilities are responsible for real-time synchronous collection of the location coordinates, water level, and collection time of each detection point, which are then packaged and uploaded. Upon receiving the data, the decision-making and management terminal first filters and analyzes historical monitoring data under safe conditions, establishing a benchmark model for the dynamic safe location distribution range of each detection point across different water level intervals. Subsequently, the real-time collected location coordinates and water level are substituted into this benchmark for precise comparison. If the current coordinates exceed the safe boundary of the corresponding water level interval, a potential hazard is identified, and the alarm terminal is immediately instructed to issue a warning signal; otherwise, normal monitoring continues. This system effectively improves the scientific rigor and accuracy of its early warnings through the dynamic correlation between water level and deformation.

[0032] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.

[0033] It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, can be implemented using hardware that performs the corresponding function or action, such as circuits or ASICs (Application Specific Integrated Circuits), or using a combination of hardware and software, such as firmware.

[0034] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art will understand and implement other variations of the disclosed embodiments by reviewing the accompanying drawings, disclosure, and appended claims in carrying out the claimed invention. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0035] The various embodiments of this application have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or improvement of the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for intelligent decision-making and management of water conservancy data based on unified time-scaled BeiDou-3 system, characterized in that: include, Receive the location coordinates and water level of each monitoring point of the water conservancy facility at each monitoring time; The location coordinates and water level of each monitoring point of the water conservancy facility under safe conditions at each safe monitoring time were selected. For each detection point, the location coordinates of the detection point at the safe detection time are correlated with the corresponding water level height to obtain the safe location distribution range of the detection point in each water level height range; Substitute the location coordinates and water level of each monitoring point of the water conservancy facility into the safe location distribution range of the monitoring point in each water level interval, and determine whether the location coordinates of the monitoring point exceed the corresponding safe location distribution range. If so, the detection point is deemed unsafe, and an early warning decision is made, issuing an early warning signal. If not, no warning will be issued.

2. The method according to claim 1, characterized in that, The step of correlating the location coordinates of the detection point at the safe detection time with the corresponding water level height to determine the safe location distribution range of the detection point in each water level height interval. include, Obtain the time periods corresponding to the dry season, flood season, and normal water season for this monitoring point; Based on the displacement of the positioning coordinates of the detection point at each detection time during the dry season, flood season, and normal water season, multiple water level height intervals are divided. The displacement disturbance amplitude of the positioning coordinates is obtained based on the difference between the water level height and the corresponding positioning coordinates at each detection time. The distribution range of water level height and corresponding positioning coordinates at each detection time within each water level height interval is expanded outward by the displacement disturbance amplitude to obtain the safe position distribution range of the detection point in each water level height interval.

3. The method according to claim 2, characterized in that, The step of dividing the water level into multiple intervals based on the displacement of the positioning coordinates of the detection point at each detection time during the dry season, flood season, and normal water season. include, The maximum distance between the positioning coordinates of the detection point at each detection time within the dry season, flood season, and normal water season is obtained, thus obtaining the maximum positioning distance difference of the detection point during the dry season, flood season, and normal water season. Get the number of preset water level height intervals; The number of preset water level height intervals is allocated according to the ratio between the maximum positioning distance difference of the detection point in the dry season, flood season and normal water season, respectively, to obtain the number of water level height intervals allocated in the dry season, flood season and normal water season. The dry season, flood season, and normal water season are divided into multiple water level intervals according to the number of water level intervals assigned to them.

4. The method according to claim 2, characterized in that, The step of obtaining the displacement disturbance amplitude of the positioning coordinates based on the difference between the water level height and the corresponding positioning coordinates at each detection time. include, Extract the water level height and corresponding location coordinates at each detection time as the water conservancy data features for that detection time; By comparing the differences in the characteristics of water conservancy data at each detection time, multiple concentrated distribution periods of water conservancy status are obtained based on the water level height interval to which the water level height corresponds to each detection time. The displacement disturbance amplitude of the positioning coordinates is obtained based on the positioning coordinates and water level at each detection time within each concentrated distribution period of the water conditions.

5. The method according to claim 4, characterized in that, The step of comparing the differences in hydraulic data characteristics between each detection time and obtaining multiple concentrated distribution periods of hydraulic conditions based on the water level height interval corresponding to each detection time includes: The difference in water conservancy status between any two detection times is calculated based on the water conservancy data characteristics at each detection time. Within each water level height range, select a detection time corresponding to a water level height as the marked detection time; For each detection time other than the marked detection time, the marked detection time with the smallest difference from the water conservancy status is divided into the same time period, resulting in multiple time periods with concentrated distribution of water conservancy status.

6. The method according to claim 5, characterized in that, The step of calculating the difference in hydraulic status between any two detection times based on the hydraulic data characteristics at each detection time. include, Calculate the difference in water level height and the distance between the positioning coordinates at two detection times; Using a unified unit system, the dimensionless values ​​of the water level difference and the positioning coordinate distance at two detection times are summed to represent the difference in hydraulic status between the two detection times.

7. The method according to claim 5, characterized in that, The step of comparing the differences in hydraulic data characteristics between each detection time and obtaining multiple concentrated distribution periods of hydraulic conditions based on the water level height interval corresponding to each detection time also includes... Determine whether the concentrated distribution period of water conditions is continuous and whether the water level height corresponding to each detection time within each concentrated distribution period of water conditions belongs to the same water level height interval. If so, then multiple periods of concentrated distribution of water conservancy conditions are obtained; If not, then reselect the marker detection time and redivide the concentrated distribution period of water conservancy status until the judgment conditions are met.

8. The method according to claim 4, characterized in that, The step of obtaining the displacement disturbance amplitude of the positioning coordinates based on the positioning coordinates and water level at each detection time within each concentrated distribution period of hydraulic conditions includes, Calculate the proportional coefficient between the durations of each concentrated distribution period of water conservancy status; Calculate the maximum distance of the location coordinates at each detection time within each concentrated period of water conservancy status distribution; Based on the proportional coefficient of each concentrated distribution period of water conservancy status, the weighted average of the maximum distance of the corresponding positioning coordinates is calculated to obtain the displacement disturbance amplitude of the positioning coordinates.

9. A method for intelligent decision-making and management of water conservancy data based on BeiDou-3 unified time-scaled data, characterized in that: include, The system receives the early warning signal from the intelligent decision-making and management method for water conservancy data based on the unified time-scale of BeiDou-3 as described in any one of claims 1 to 8, and issues an alarm.

10. A smart decision-making management system for water conservancy data based on the unified time-scale of BeiDou-3, characterized in that, include, The detection terminal is set at each detection point of the underwater facility to collect the location coordinates and water level of the corresponding detection point and record the corresponding collection time. The location coordinates of the detection points, water level height, and corresponding collection time are packaged into a water conservancy status data package and uploaded to the decision management terminal. The decision management terminal is used to receive and extract the location coordinates and water level of each monitoring point of the water conservancy facility at each monitoring time; The location coordinates and water level of each monitoring point of the water conservancy facility under safe conditions at each safe monitoring time were selected. For each detection point, the location coordinates of the detection point at the safe detection time are correlated with the corresponding water level height to obtain the safe location distribution range of the detection point in each water level height range; Substitute the location coordinates and water level of each monitoring point of the water conservancy facility into the safe location distribution range of the monitoring point in each water level interval, and determine whether the location coordinates of the monitoring point exceed the corresponding safe location distribution range. If so, the detection point is deemed unsafe, and an early warning decision is made, issuing an early warning signal. If not, no warning will be issued; The alarm terminal receives the warning signal and issues an alarm.

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