Tailing pond rainfall early warning grade discrimination method, device, equipment and medium

Abstract

The invention relates to the field of tailings ponds, and discloses a tailings pond rainfall early warning grade judgment method, device and equipment and a medium. The method comprises the following steps: acquiring early warning indexes of a plurality of early warning levels and a first early warning threshold value issued by a local meteorological department of a region where the tailings pond is located; acquiring a plurality of real-time rainfall monitoring data of the tailings pond, and determining a first early warning level of the tailings pond; calculating the multi-duration rainfall corresponding to the designed flood control standard of the tailings pond; calculating a second early warning threshold value of a plurality of early warning levels of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; according to each real-time rainfall monitoring data and each second early warning threshold, determining a second early warning level of the tailings pond; and determining a global rainfall early warning level of the tailings pond according to the first early warning level and the second early warning level. According to the application, a more perfect scientific theoretical basis is provided for selection of early warning indexes and setting of an early warning threshold value of the tailing pond rainfall online monitoring system, and safe production operation management of the tailing pond is better guided.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of tailings pond, and particularly relates to a tailings pond rainfall early warning grade determination method, device, equipment and medium. BACKGROUND

[0002] At present, there is still lack of unified standard and perfect scientific theory basis for the determination of tailings pond rainfall early warning grade, and most of the tailings ponds at the present stage directly use the heavy rain early warning grade issued by China Meteorological Administration as the rainfall grade of the tailings pond.

[0003] The method cannot fully reflect the influence of the size of the tailings pond rainfall early warning grade determination value on the tailings pond flood control safety and the risk degree of dam break caused by overtopping, greatly reduces the accuracy and reliability of the advanced rain condition early warning of the tailings pond rainfall early warning grade determination system, and cannot effectively and accurately guide the emergency response and disposal decision of the mining enterprises. SUMMARY

[0004] Therefore, the present application aims at overcoming the deficiencies in the prior art, and provides a tailings pond rainfall early warning grade determination method, device, equipment and medium.

[0005] The present application provides the following technical solutions: In a first aspect, the present application provides a tailings pond rainfall early warning grade determination method, which comprises: According to the region of the tailings pond, a plurality of early warning indexes and a first early warning threshold of early warning grades issued by the local meteorological department are obtained; A plurality of real-time rainfall monitoring data of the tailings pond are obtained, and a first early warning grade of the real-time rainfall monitoring data of each early warning index of the tailings pond is determined according to the real-time rainfall monitoring data under each early warning index and each first early warning threshold; The basic hydrological characteristic data of the tailings pond are obtained, and a multi-duration rainfall corresponding to the design flood control standard of the tailings pond is calculated according to the basic hydrological characteristic data; A classification confidence interval coefficient of each early warning grade is determined, and a second early warning threshold of a plurality of early warning grades of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond is calculated according to the classification confidence interval coefficient of each early warning grade; A second early warning grade of each real-time rainfall monitoring data of the tailings pond is determined according to each real-time rainfall monitoring data and each second early warning threshold; A global rainfall early warning grade of the tailings pond is determined according to the first early warning grade and the second early warning grade of the tailings pond.

[0006] In an optional embodiment, the early warning levels include red, orange, yellow and blue, the early warning indicators include red early warning indicators, orange early warning indicators, yellow early warning indicators and blue early warning indicators, the first early warning thresholds include first red early warning thresholds, first orange early warning thresholds, first yellow early warning thresholds and first blue early warning thresholds, and the determination of the first early warning levels of the real-time rainfall monitoring data of each of the early warning indicators of the tailings pond according to the real-time rainfall monitoring data of each of the early warning indicators and each of the first early warning thresholds includes: comparing the real-time rainfall monitoring data of each of the early warning indicators with each of the first early warning thresholds; if the real-time rainfall monitoring data of the red early warning indicators is greater than or equal to the first red early warning threshold, determining the first early warning level of the real-time rainfall monitoring data of the red early warning indicators as red; if the real-time rainfall monitoring data of the orange early warning indicators is greater than or equal to the first orange early warning threshold, determining the first early warning level of the real-time rainfall monitoring data of the orange early warning indicators as orange; if the real-time rainfall monitoring data of the yellow early warning indicators is greater than or equal to the first yellow early warning threshold, determining the first early warning level of the real-time rainfall monitoring data of the yellow early warning indicators as yellow; if the real-time rainfall monitoring data of the blue early warning indicators is greater than or equal to the first blue early warning threshold, determining the first early warning level of the real-time rainfall monitoring data of the blue early warning indicators as blue; wherein the first red early warning threshold is greater than the first orange early warning threshold, the first orange early warning threshold is greater than the first yellow early warning threshold, and the first yellow early warning threshold is greater than the first blue early warning threshold.

[0007] In an optional embodiment, the obtaining of the basic hydrological characteristic data of the tailings pond and the calculation of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond according to the basic hydrological characteristic data include: obtaining the multi-duration average maximum rainfall of the tailings pond, obtaining the design flood control standard of the tailings pond, and determining a multi-duration storm runoff amplification coefficient according to the design flood control standard; multiplying the multi-duration average maximum rainfall by the multi-duration storm runoff amplification coefficient to obtain the multi-duration rainfall corresponding to the design flood control standard of the tailings pond.

[0008] In an optional embodiment, the determination of the hierarchical confidence interval coefficients of each of the early warning levels includes: determining rainfall disaster-causing ability of the tailings pond according to climate characteristics and average maximum daily rainfall of the area where the tailings pond is located, and type and catchment area of the tailings pond; determining anti-top-flooding and dam-break risk ability of the tailings pond according to design flood control standard, flood regulation capacity, discharge capacity and downstream disaster-bearing capacity of the tailings pond; determining rainfall early warning urgency degree of the tailings pond according to rainfall disaster-causing ability and anti-top-flooding and dam-break risk ability of the tailings pond; determining hierarchical confidence interval coefficients of each early warning level according to rainfall early warning urgency degree of the tailings pond.

[0009] In an optional implementation, the hierarchical confidence interval coefficients include a red hierarchical confidence interval coefficient, an orange hierarchical confidence interval coefficient, a yellow hierarchical confidence interval coefficient and a blue hierarchical confidence interval coefficient, the second early warning thresholds include a second red early warning threshold, a second orange early warning threshold, a second yellow early warning threshold and a second blue early warning threshold, and the operation of calculating the second early warning thresholds of multiple early warning levels of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond according to the hierarchical confidence interval coefficients of each early warning level includes: multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond by the red hierarchical confidence interval coefficient to obtain a second red early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond by the orange hierarchical confidence interval coefficient to obtain a second orange early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond by the yellow hierarchical confidence interval coefficient to obtain a second yellow early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond by the blue hierarchical confidence interval coefficient to obtain a second blue early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond.

[0010] In an optional implementation, the operation of determining the second early warning level of each real-time rainfall monitoring data of the tailings pond according to each real-time rainfall monitoring data and each second early warning threshold includes: comparing each real-time rainfall monitoring data with each second early warning threshold; if the real-time rainfall monitoring data is greater than or equal to the second red early warning threshold, determining the second early warning level of the real-time rainfall monitoring data as red; if the real-time rainfall monitoring data is greater than or equal to the second yellow warning threshold value and less than the second orange warning threshold value, the second warning level of the real-time rainfall monitoring data is determined as yellow; if the real-time rainfall monitoring data is greater than or equal to the second yellow warning threshold value and less than the second orange warning threshold value, the second warning level of the real-time rainfall monitoring data is determined as yellow; if the real-time rainfall monitoring data is greater than or equal to the second blue warning threshold value and less than the second yellow warning threshold value, the second warning level of the real-time rainfall monitoring data is determined as blue; wherein the second red warning threshold value is greater than the second orange warning threshold value, the second orange warning threshold value is greater than the second yellow warning threshold value, and the second yellow warning threshold value is greater than the second blue warning threshold value.

[0011] In an optional implementation, the determining the global rainfall warning level of the tailings pond according to the first warning level and the second warning level of the tailings pond comprises: determining the number of warning indexes with the first warning level as red as a first red number, and determining the number of durations with the second warning level as red as a second red number; determining the number of warning indexes with the first warning level as orange as a first orange number, and determining the number of durations with the second warning level as orange as a second orange number; determining the number of warning indexes with the first warning level as yellow as a first yellow number, and determining the number of durations with the second warning level as yellow as a second yellow number; determining the number of warning indexes with the first warning level as blue as a first blue number, and determining the number of durations with the second warning level as blue as a second blue number; determining the global rainfall warning level of the tailings pond according to the first red number, the second red number, the first orange number, the second orange number, the first yellow number, the second yellow number, the first blue number, and the second blue number.

[0012] In a second aspect, the present application provides a tailings pond rainfall warning level determination device, which comprises: a first warning threshold value acquisition module, configured to acquire a plurality of warning indexes and first warning threshold values of warning levels published by a local meteorological department according to a region where the tailings pond is located; The first early warning level determination module is configured to acquire a plurality of real-time rainfall monitoring data of the tailing pond, and determine a first early warning level of the real-time rainfall monitoring data of each of the early warning indexes of the tailing pond according to the real-time rainfall monitoring data under each of the early warning indexes and each of the first early warning thresholds. The multi-duration rainfall calculation module is configured to acquire basic hydrological characteristic data of the tailing pond, and calculate a multi-duration rainfall corresponding to a design flood control standard of the tailing pond according to the basic hydrological characteristic data. The second early warning threshold calculation module is configured to determine a hierarchical confidence interval coefficient of each of the early warning levels, and calculate a second early warning threshold of a plurality of early warning levels of the multi-duration rainfall corresponding to the design flood control standard of the tailing pond according to the hierarchical confidence interval coefficient of each of the early warning levels. The second early warning level determination module is configured to determine a second early warning level of each of the real-time rainfall monitoring data of the tailing pond according to each of the real-time rainfall monitoring data and each of the second early warning thresholds. The global rainfall early warning level determination module is configured to determine a global rainfall early warning level of the tailing pond according to the first early warning level and the second early warning level of the tailing pond.

[0013] In a third aspect, a computer device is provided in the embodiments of the present disclosure. The computer device includes a memory and a processor. The memory stores a computer program. When the processor executes the computer program, the steps of the tailing pond rainfall early warning level discrimination method in the first aspect are implemented.

[0014] In a fourth aspect, a computer readable storage medium is provided in the embodiments of the present disclosure. The computer readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the tailing pond rainfall early warning level discrimination method in the first aspect are implemented.

[0015] The present application has the following beneficial effects: The tailing pond rainfall early warning level discrimination method provided by the embodiments of the present application comprehensively considers factors such as the characteristics of the tailing pond, the geographical location, the meteorological and hydrological rainfall conditions, the flood control standard, and the risk degree of dam collapse due to overflow, proposes a comprehensive early warning index based on local meteorological rainfall forecast and multi-duration design frequency heavy rain, constructs a global rainfall early warning level discrimination criterion, and more accurately reflects the rainfall risk level of the tailing pond, so as to provide a more perfect scientific theoretical basis for the selection of early warning indexes and the setting of early warning thresholds of the tailing pond rainfall online monitoring system, and provide more accurate rainfall early warning information for the production scheduling and emergency response of the tailing pond, and better guide the safe production and operation management of the tailing pond.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the various drawings, similar components are numbered similarly.

[0018] Figure 1 This document illustrates a flowchart of a method for determining the early warning level of rainfall in a tailings dam, as provided in an embodiment of this application. Figure 2 A schematic diagram of a tailings dam rainfall warning level discrimination device provided in an embodiment of this application is shown. Detailed Implementation

[0019] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0020] It should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the template description is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] Example 1 like Figure 1 The diagram shown is a flowchart of a method for determining the rainfall warning level of a tailings dam according to an embodiment of this application. The method for determining the rainfall warning level of a tailings dam provided in this embodiment includes the following steps: Step S110, according to the location of the tailings pond, obtain the warning index and the first warning threshold of multiple warning levels published by the local meteorological department.

[0023] Specifically, according to the geographical location of the tailings pond, the warning index and the first warning threshold of multiple warning levels published by the local meteorological department are obtained. Among them, the warning levels include red, orange, yellow and blue, the warning index (hours) includes red warning index , orange warning index , yellow warning index and blue warning index , the first warning threshold includes the first red warning threshold hour rainfall , the first orange warning threshold hour rainfall , the first yellow warning threshold hour rainfall , the first blue warning threshold hour rainfall . Among them, , , , , .

[0024] In an embodiment, a certain wet tailings pond is located in a certain province in the south, the upstream law wet tailings pond has a total dam height of 150m, a total reservoir capacity of 3500m 3 , the catchment area of the reservoir area is 6km 2 , the tailings pond is rated as a second-class reservoir, and the warning index and the first warning threshold of multiple warning levels published by the meteorological department of the province are as shown in Table 1: Table 1 Warning index and first warning threshold of warning levels of a certain wet tailings pond

[0025] The above steps can directly connect the local authoritative meteorological data by obtaining the warning levels, warning indexes and first warning thresholds published by the local meteorological department according to the location of the tailings pond, ensuring that the basic data of the warning judgment is highly adapted to the meteorological characteristics of the geographical environment of the tailings pond, and laying a credible, unified and traceable basis for all subsequent judgments.

[0026] Step S120, obtain multiple real-time rainfall monitoring data of the tailings pond, and determine the first warning level of the real-time rainfall monitoring data of the tailings pond under each warning index according to the real-time rainfall monitoring data under each warning index and each first warning threshold.

[0027] Based on the rainfall monitoring facilities (siphon rain gauges, weighing rain gauges, tipping bucket rain gauges, self-counting rain gauges, etc.) at the tailings dam, multiple real-time rainfall monitoring data are read: t-time rainfall monitoring value. .

[0028] In one embodiment, the rainfall monitoring values ​​for a certain wet tailings dam are t=10min, 1h, 3h, 6h, 12h, and 24h. As shown in Table 2 below: Table 2. Monitoring values ​​of rainfall over time (t) at a certain wet tailings dam.

[0029]

[0030] Furthermore, the real-time rainfall monitoring data under each early warning indicator is compared with each first early warning threshold to determine the tailings dam. Hour, Hour, Hour, hourly rainfall monitoring value , , , The local meteorological rainstorm warning level, namely the first warning level, is determined according to the following criteria: If the red alert indicator Real-time rainfall monitoring data Greater than or equal to the first red alert threshold Then the warning indicators Real-time rainfall monitoring data The first warning level is set at red; if the orange warning indicator Real-time rainfall monitoring data Greater than or equal to the first orange alert threshold Then the orange alert indicator Real-time rainfall monitoring data The first warning level is set at orange; if the yellow warning indicator... Real-time rainfall monitoring data Greater than or equal to the first yellow warning threshold Then the yellow warning indicator Real-time rainfall monitoring data The first warning level is set at yellow; if the blue warning indicator Real-time rainfall monitoring data Greater than or equal to the first blue warning threshold Then the blue alert indicator Real-time rainfall monitoring data a first warning level of real-time rainfall monitoring data under the blue warning index is determined as blue; if the real-time rainfall monitoring data under the blue warning index is less than a first blue warning threshold , a first warning level of real-time rainfall monitoring data under the blue warning index is determined as none.

[0031] The above steps realize the instant comparison of the current rainfall situation and the local meteorological warning standard by obtaining the real-time rainfall monitoring data of the tailings pond and determining the first warning level in combination with the first warning threshold. Through the explicit threshold comparison rule, the abstract rainfall data is converted into a directly applicable warning level. This process not only utilizes the real-time advantage of artificial or online monitoring facilities, but also ensures the objectivity of the warning level determination through standardized rules, thereby providing a preliminary risk judgment based on real-time situation for subsequent comprehensive warning.

[0032] In step S130, the basic hydrological characteristic data of the tailings pond is obtained, and the multi-duration rainfall corresponding to the design flood control standard of the tailings pond is calculated according to the basic hydrological characteristic data.

[0033] Preferably, the t-duration average maximum rainfall of the tailings pond in multiple years (t=10min, 1h, 3h, 6h, 12h, 24h) is obtained according to the statistical records of the hydrological observation station in the region where the tailings pond is located, or according to the hydrological data of the region where the tailings pond is located. At the same time, the design flood control standard P (P-year return period) of the tailings pond is obtained, and the t-duration storm runoff amplification coefficient of the tailings pond (t=10min, 1h, 3h, 6h, 12h, 24h) is queried from the hydrological data of the region where the tailings pond is located according to the design flood control standard P.

[0034] Further, the t-duration average maximum rainfall is multiplied by the t-duration storm runoff amplification coefficient to obtain the multi-duration rainfall corresponding to the design flood control standard P of the tailings pond, i.e. .

[0035] In one embodiment, the design flood control standard P of a certain wet tailings pond is 1000-year return period, and the t-duration average maximum rainfall of the tailings pond in multiple years is as shown in the following Table 3. The t-duration storm runoff amplification coefficient of the tailings pond is as shown in the following Table 4. The t-duration rainfall corresponding to the design flood control standard P is as shown in the following Table 5. Table 3 t-duration average maximum rainfall of a certain wet tailings pond in multiple years

[0036] ​​​​​​​

[0037] Table 4 runoff amplification factor of t duration rainstorm of a certain wet tailings pond

[0038]

[0039] Table 5 t duration rainfall corresponding to the design flood control standard P of a certain wet tailings pond

[0040]

[0041] The above steps make up for the limitations of relying solely on meteorological warnings, which only reflect regional rainfall intensity. The step combines the characteristics of the tailings pond itself, such as storage capacity and catchment area, to provide a "safety threshold benchmark" that matches its actual flood control capacity, providing a scientific basis for subsequent warning threshold setting based on its own risk resistance (second warning threshold), making the warning more in line with the individual safety needs of the tailings pond.

[0042] Step S140, determine the classification confidence interval coefficient of each warning level, and calculate the second warning threshold of multiple warning levels of the design flood control standard corresponding to the multiple duration rainfall of the tailings pond according to the classification confidence interval coefficient of each warning level.

[0043] Understandably, the classification confidence interval coefficient needs to be determined based on a comprehensive analysis of factors such as the climate characteristics of the region where the tailings pond is located, the average maximum daily rainfall over multiple years, the type and grade of the tailings pond, and the size of the catchment area.

[0044] Specifically, the value interval of the classification confidence interval coefficient of each warning level is obtained according to the pre-set experience, in one embodiment, the red classification confidence interval coefficient , the orange classification confidence interval coefficient , the yellow classification confidence interval coefficient , and the blue classification confidence interval coefficient Within each value interval, the classification confidence interval coefficient of each warning level is essentially determined by the rainfall warning urgency degree D, which is further closely related to the rainfall disaster-causing ability B and the resistance to toppling and dam collapse risk ability C, therefore, the specific process is as follows: (1) First, determine the rainfall disaster-causing ability B of the tailings pond according to the climate characteristics of the region where the tailings pond is located and the average maximum daily rainfall over multiple years, as well as the type and catchment area of the tailings pond, in one embodiment, the classification quantization table of the rainfall disaster-causing ability B is shown in Table 6 below: Table 6 Classification Quantization Table of Rainfall Disaster-Causing Ability B of a Certain Wet Tailings Pond

[0045] For a certain wet tailings pond: ① If the region and climate characteristics of the tailings pond are humid climate in the south, the score is 4; ② If the average maximum daily rainfall in the region of the tailings pond is 50 mm, the score is 2; ③ If the type of the tailings pond is an upstream wet discharge pond, the score is 4; ④ If the catchment area of the tailings pond is 8 km 2 , the score is 3. In summary, the rainfall disaster-causing ability of the tailings pond totals B = 4 + 2 + 4 + 3 = 13.

[0046] According to the score of B, it can be divided into several grades according to experience: ① B = 13 ~ 16: the rainfall disaster-causing ability is very high; ② B = 10 ~ 12: the rainfall disaster-causing ability is high; ③ B = 7 ~ 9: the rainfall disaster-causing ability is relatively high; ④ B = 4 ~ 6: the rainfall disaster-causing ability is low. Therefore, B = 13 of the tailings pond, indicating that the rainfall disaster-causing ability is very high.

[0047] (2) Secondly, according to the design flood control standard, flood regulation capacity, discharge capacity and downstream disaster-bearing capacity of the tailings pond, the anti-top-flooding and dam-break risk ability C of the tailings pond is determined. In an embodiment, the grading quantization table of the anti-top-flooding and dam-break risk ability C of a certain wet tailings pond is shown in Table 7: Table 7 Grading quantization table of anti-top-flooding and dam-break risk ability C of a certain wet tailings pond

[0048] For a certain wet tailings pond: ① If the design flood control standard P of the tailings pond is 1000 years, the score is 4; ② If the flood regulation capacity of the tailings pond is 60,000 m 3 , the score is 3; ③ If the discharge capacity of the tailings pond is a drainage chute, the score is 2; ④ If the downstream disaster-bearing capacity of the tailings pond is that there is a river within 1 km downstream, the score is 3. In summary, the anti-top-flooding and dam-break risk ability of the tailings pond totals C = 4 + 3 + 2 + 3 = 12.

[0049] According to the score of C, it can be divided into several grades according to experience: ① C = 13 ~ 16: the anti-top-flooding and dam-break risk ability is high; ② C = 10 ~ 12: the anti-top-flooding and dam-break risk ability is relatively high; ③ C = 7 ~ 9: the anti-top-flooding and dam-break risk ability is low; ④ C = 4 ~ 6: the anti-top-flooding and dam-break risk ability is very low. Therefore, C = 12 of the tailings pond, indicating that the anti-top-flooding and dam-break risk ability is relatively high.

[0050] (3) Thirdly, according to the rainfall disaster-causing ability B and the anti-top-flooding and dam-break risk ability C of the tailings pond, the rainfall warning urgency degree D of the tailings pond is determined. In an embodiment, the grading quantization table of the rainfall warning urgency degree D of a certain wet tailings pond is shown in Table 8: Table 8 Grading quantization table of rainfall warning urgency degree D of a certain wet tailings pond

[0051] For a certain wet tailings dam, B=13, C=12, then the urgency level of the rainfall warning is D as I.

[0052] (4) Finally, based on the urgency of the rainfall warning for the tailings dam, the confidence interval coefficients for each warning level are determined. In one embodiment, the confidence interval coefficients for each warning level are... The rule for determining D is: if D is I, then Take the smaller value within the corresponding interval; if D is II, then Take a value near the midpoint of the corresponding interval; if D is Ⅲ, then Take the larger value in the corresponding interval.

[0053] In one embodiment, if the threshold D of a certain wet tailings dam is I, then the values ​​of the confidence interval coefficients for each warning level are shown in Table 9 below: Table 9. Confidence Interval Coefficients for Different Early Warning Levels of a Certain Drained Tailings Dam The value of

[0054] Furthermore, after determining the confidence interval coefficients for each warning level, the duration of rainfall (t) corresponding to the design flood control standard P of the tailings dam is calculated based on the confidence interval coefficients for each warning level. The second red alert threshold Second orange alert threshold Second yellow alert threshold Second Blue Warning Threshold The specific calculation method is as follows: The duration of rainfall corresponding to the design flood control standard of the tailings dam. With red-level confidence interval coefficient Multiplying these values ​​yields the second red alert threshold for the multi-duration rainfall corresponding to the design flood control standard of the tailings dam. ,Right now The duration of rainfall (t) corresponding to the design flood control standard of the tailings dam. With orange-level confidence interval coefficient Multiplying these values ​​yields the second orange warning threshold for the multi-duration rainfall corresponding to the design flood control standard of the tailings dam. ,Right now The duration of rainfall (t) corresponding to the design flood control standard of the tailings dam. With yellow-level confidence interval coefficient Multiplying these values ​​yields the second yellow warning threshold for the multi-duration rainfall corresponding to the design flood control standard of the tailings dam. ,Right now The duration of rainfall (t) corresponding to the design flood control standard of the tailings dam. With blue level confidence interval coefficient Multiplying these values ​​yields the second blue warning threshold for the multi-duration rainfall corresponding to the design flood control standard of the tailings dam. ,Right now .in, .

[0055] In one embodiment, for a specific wet tailings dam, the second red warning threshold... Second orange alert threshold Second yellow alert threshold Second Blue Warning Threshold The criteria for discrimination are shown in Table 10 below: Table 10 Criteria for Determining the Second Early Warning Threshold of a Certain Drained Tailings Dam

[0056] The above steps, by determining the graded confidence interval coefficients and calculating the second early warning threshold, achieve a precise binding between the early warning threshold and the risk characteristics of the tailings dam. This process considers the individual differences of tailings dams (type, geographical location, risk resistance capacity) and makes the early warning threshold flexible and targeted through quantitative coefficients, avoiding a "one-size-fits-all" threshold setting. It allows the sensitivity of the early warning to be dynamically adjusted according to the actual risk level of the tailings dam, improving the scientific nature and accuracy of the early warning.

[0057] Step S150: Based on the real-time rainfall monitoring data and the second warning threshold, determine the second warning level of the real-time rainfall monitoring data of the tailings dam.

[0058] Understandably, the rainfall monitoring data over time t will be used. By comparing with each of the secondary warning thresholds, the t-duration rainfall monitoring data for the tailings dam was determined. The design of the single-indicator warning level for heavy rain, namely the second warning level, is determined by the following criteria: If the rainfall monitoring data over time t Greater than or equal to the second red alert threshold Then the rainfall monitoring data over time t will be used. The second warning level has been set at red; if the rainfall monitoring data over time is... Greater than or equal to the second orange alert threshold And less than the second red alert threshold Then the rainfall monitoring data over time t will be used. The second warning level has been set at orange; if the rainfall monitoring data over time is... Greater than or equal to the second yellow warning threshold And less than the second orange alert threshold If the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the first red warning threshold value and less than the first orange warning threshold value, the first warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be orange; if the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the first orange warning threshold value and less than the first yellow warning threshold value, the first warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be yellow; if the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the first yellow warning threshold value and less than the first blue warning threshold value, the first warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be blue; if the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the first blue warning threshold value, the first warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be no. If the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the second blue warning threshold value and less than the second yellow warning threshold value, the second warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be yellow; if the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the second yellow warning threshold value and less than the second orange warning threshold value, the second warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be orange; if the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the second orange warning threshold value and less than the second red warning threshold value, the second warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be red; if the t-duration rainfall monitoring data of the tailings pond is greater than or equal to the second red warning threshold value, the second warning level of the t-duration rainfall monitoring data of the tailings pond is determined to be no.

[0059] In an embodiment, the determination results of the second warning level of the t-duration rainfall monitoring data of a certain wet tailings pond are shown in Table 11 as follows: Table 11 Second warning level of t-duration rainfall monitoring data of a certain wet tailings pond

[0060] The above step determines the second warning level according to the real-time rainfall monitoring data and the second warning threshold value, further associates the rainfall situation with the self flood control capacity of the tailings pond, and forms a more accurate risk judgment. The second warning threshold value is calculated in combination with the design flood control standard, disaster-causing ability, risk resistance ability and other personalized features of the tailings pond. Compared with the first warning level which only relies on the general standard of the region, it is more suitable for the actual carrying limit of the tailings pond, and provides an accurate risk reference based on the self risk resistance ability for subsequent comprehensive judgment.

[0061] Step S160, determining the global rainfall warning level of the tailings pond according to the first warning level and the second warning level of the tailings pond.

[0062] Preferably, after the first warning level and the second warning level are determined, the global rainfall warning level of the tailings pond is determined according to the first warning level and the second warning level, and the specific determination method is as follows: (1) The number of warning indexes with the first warning level of red is determined as the first red number The number of t-duration with the second warning level of red is determined as the second red number ; (2) The number of warning indexes with the first warning level of orange is determined as the first orange number The number of t-duration with the second warning level of orange is determined as the second orange number ; (3) The number of warning indexes with the first warning level of yellow is determined as the first yellow number​​​​​​​​​ determine the number of durations with the second warning level of yellow as the second yellow number (4) determine the number of warning indexes with the first warning level of blue as the first blue number determine the number of durations with the second warning level of blue as the second blue number (5) finally, determine the global rainfall warning level of the tailings pond according to the first red number , the second red number , the first orange number , the second orange number , the first yellow number , the second yellow number , the first blue number and the second blue number , the method is: if or , the global rainfall warning level of the tailings pond is red; if or , the global rainfall warning level of the tailings pond is orange; if or , the global rainfall warning level of the tailings pond is yellow; if , the global rainfall warning level of the tailings pond is blue; if , the global rainfall warning level of the tailings pond is none.

[0063] In an embodiment, the judgment result of the global rainfall warning level of a certain wet tailings pond is shown in Table 12 as follows: Table 12 Global rainfall warning level of a certain wet tailings pond

[0064] The above steps determine the global rainfall warning level by integrating the statistical results of the first warning level and the second warning level, avoiding the one-sidedness of single index judgment. And through the quantitative statistical rules, the multi-dimensional and multi-duration warning results are converted into a unique global level, providing a comprehensive and unified decision basis for tailings pond production scheduling and emergency response, effectively improving the reliability and practicality of the warning.

[0065] ​​The tailings dam rainfall warning level discrimination method provided in this application comprehensively considers factors such as the tailings dam's own characteristics, geographical location, meteorological and hydrological rainfall conditions, flood defense standards, and the degree of risk of overtopping and dam failure. It proposes a comprehensive warning index based on local meteorological rainfall forecasts and multi-duration design frequency rainstorms, and constructs a global rainfall warning level discrimination criterion to better fit the actual situation of each tailings dam, more realistically reflect the rainfall risk level of the tailings dam, provide a more complete scientific theoretical basis for the selection of warning indicators and the setting of warning thresholds in the online rainfall monitoring system for tailings dams, and provide more accurate rainfall warning information for the production scheduling and emergency response auxiliary decision-making of tailings dams, thus better guiding the safe production and operation management of tailings dams.

[0066] Example 2 like Figure 2 The diagram shown is a structural schematic of a tailings dam rainfall warning level discrimination device 200 according to an embodiment of this application. The device includes: The first warning threshold acquisition module 210 is used to acquire warning indicators and the first warning threshold of multiple warning levels issued by the local meteorological department based on the location of the tailings dam. The first warning level determination module 220 is used to acquire multiple real-time rainfall monitoring data of the tailings dam, and determine the first warning level of the real-time rainfall monitoring data of the tailings dam under each warning indicator and each first warning threshold based on the real-time rainfall monitoring data under each warning indicator and each first warning threshold. The multi-duration rainfall calculation module 230 is used to obtain the basic hydrological characteristic data of the tailings dam and calculate the multi-duration rainfall corresponding to the design flood control standard of the tailings dam based on the basic hydrological characteristic data. The second early warning threshold calculation module 240 is used to determine the graded confidence interval coefficient of each early warning level, and calculate the second early warning threshold of multiple early warning levels corresponding to the design flood control standard of the tailings dam with multiple duration rainfall based on the graded confidence interval coefficient of each early warning level. The second early warning level determination module 250 is used to determine the second early warning level of each real-time rainfall monitoring data of the tailings dam based on each real-time rainfall monitoring data and each second early warning threshold. The global rainfall warning level determination module 260 is used to determine the global rainfall warning level of the tailings dam based on the first and second warning levels of the tailings dam.

[0067] The tailings dam rainfall warning level discrimination device provided in this application embodiment can realize each process of the tailings dam rainfall warning level discrimination method corresponding to Embodiment 1, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0068] The tailings pond rainfall early warning grade determination device provided by the embodiment of the application comprehensively considers factors such as the characteristics of the tailings pond, the geographical location, the meteorological and hydrological rainfall conditions, the flood prevention standard, and the risk degree of dam collapse caused by overflow, proposes a comprehensive early warning index based on local meteorological rainfall prediction and multi-duration design frequency heavy rain, constructs a global rainfall early warning grade determination criterion, and more accurately reflects the rainfall risk level of the tailings pond, so as to provide a more perfect scientific theoretical basis for the selection of early warning indexes and the setting of early warning thresholds of the tailings pond rainfall online monitoring system, and provide more accurate rainfall early warning information for the production scheduling and emergency response of the tailings pond, and better guide the safe production and operation management of the tailings pond.

[0069] The embodiment of the present disclosure also provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the tailings pond rainfall early warning grade determination method described in the embodiment 1 when executing the computer program.

[0070] The embodiment of the present disclosure also provides a computer readable storage medium, which stores a computer program, and the steps of the tailings pond rainfall early warning grade determination method described in the embodiment 1 are implemented when the computer program is executed by a processor.

[0071] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are only schematic, for example, the flowcharts and structural diagrams in the drawings show the possible implementation architectures, functions and operations of the devices, methods and computer program products according to the embodiments of the present application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in alternative implementation ways, the functions annotated in the blocks can also occur in different orders from those annotated in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the structural diagram and / or flowchart, and the combination of blocks in the structural diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0072] In addition, each functional module or unit in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0073] If the functions are implemented in the form of software function modules and sold or used as independent products, the functions can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium can be a non-volatile storage medium or a volatile storage medium, for example, the storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0074] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A method for determining the rainfall warning grade of a tailings pond, characterized in that, The method comprises: According to the location of the tailings pond, obtain the warning indicators and the first warning thresholds of multiple warning levels published by the local meteorological department; Obtain multiple real-time rainfall monitoring data of the tailings pond, and determine the first warning level of the real-time rainfall monitoring data of each warning indicator of the tailings pond according to the real-time rainfall monitoring data under each warning indicator and each first warning threshold; Obtain the basic hydrological characteristic data of the tailings pond, and calculate the multiple duration rainfall corresponding to the design flood control standard of the tailings pond according to the basic hydrological characteristic data; Determine the classification confidence interval coefficient of each warning level, and calculate the second warning threshold of multiple warning levels of the multiple duration rainfall corresponding to the design flood control standard of the tailings pond according to the classification confidence interval coefficient of each warning level; Determine the second warning level of each real-time rainfall monitoring data of the tailings pond according to each real-time rainfall monitoring data and each second warning threshold; Determine the global rainfall warning level of the tailings pond according to the first warning level and the second warning level of the tailings pond.

2. The method according to claim 1, characterized in that, The warning levels include red, orange, yellow and blue, the warning indicators include red, orange, yellow and blue warning indicators, the first warning thresholds include first red, orange, yellow and blue warning thresholds, and the first warning level of the real-time rainfall monitoring data of each warning indicator of the tailings pond is determined according to the real-time rainfall monitoring data under each warning indicator and each first warning threshold, which comprises: Comparing the real-time rainfall monitoring data under each warning indicator with each first warning threshold; If the real-time rainfall monitoring data under the red warning indicator is greater than or equal to the first red warning threshold, the first warning level of the real-time rainfall monitoring data under the red warning indicator is determined as red; If the real-time rainfall monitoring data under the orange warning indicator is greater than or equal to the first orange warning threshold, the first warning level of the real-time rainfall monitoring data under the orange warning indicator is determined as orange; If the real-time rainfall monitoring data under the yellow warning indicator is greater than or equal to the first yellow warning threshold, the first warning level of the real-time rainfall monitoring data under the yellow warning indicator is determined as yellow; If the real-time rainfall monitoring data under the blue warning indicator is greater than or equal to the first blue warning threshold, the first warning level of the real-time rainfall monitoring data under the blue warning indicator is determined as blue; Wherein, the first red warning threshold is greater than the first orange warning threshold, the first orange warning threshold is greater than the first yellow warning threshold, and the first yellow warning threshold is greater than the first blue warning threshold.

3. The method according to claim 1, characterized in that, The basic hydrological characteristic data of the tailings pond is obtained, and the multiple duration rainfall corresponding to the design flood control standard of the tailings pond is calculated according to the basic hydrological characteristic data, which comprises: obtaining a multi-duration average maximum rainfall of the tailings pond, obtaining a design flood control standard of the tailings pond, and determining a multi-duration storm runoff amplification coefficient according to the design flood control standard; multiplying the multi-duration average maximum rainfall and the multi-duration storm runoff amplification coefficient to obtain a multi-duration rainfall corresponding to the design flood control standard of the tailings pond.

4. The method according to claim 2, characterized in that, The determination of the hierarchical confidence interval coefficients of each of the early warning levels comprises: determining a rainfall disaster-causing ability of the tailings pond according to climate characteristics and multi-year average maximum daily rainfall of a region where the tailings pond is located, and a type and a catchment area of the tailings pond; determining a risk resistance ability of the tailings pond against overtopping dam-break according to the design flood control standard, a flood regulation capacity, a discharge capacity and a downstream disaster-bearing capacity of the tailings pond; determining a rainfall early warning urgency degree of the tailings pond according to the rainfall disaster-causing ability and the risk resistance ability of the tailings pond against overtopping dam-break; determining hierarchical confidence interval coefficients of each of the early warning levels according to the rainfall early warning urgency degree of the tailings pond.

5. The method according to claim 4, characterized in that, The hierarchical confidence interval coefficients comprise a red hierarchical confidence interval coefficient, an orange hierarchical confidence interval coefficient, a yellow hierarchical confidence interval coefficient and a blue hierarchical confidence interval coefficient, the second early warning thresholds comprise a second red early warning threshold, a second orange early warning threshold, a second yellow early warning threshold and a second blue early warning threshold, and the second early warning thresholds of the multiple early warning levels of the design flood control standard corresponding to the multi-duration rainfall of the tailings pond are calculated according to the hierarchical confidence interval coefficients of each of the early warning levels, comprising: multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond and the red hierarchical confidence interval coefficient to obtain a second red early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond and the orange hierarchical confidence interval coefficient to obtain a second orange early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond and the yellow hierarchical confidence interval coefficient to obtain a second yellow early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond; multiplying the multi-duration rainfall corresponding to the design flood control standard of the tailings pond and the blue hierarchical confidence interval coefficient to obtain a second blue early warning threshold of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond.

6. The method according to claim 5, characterized in that, The determination of the second early warning levels of each of the real-time rainfall monitoring data of the tailings pond according to each of the real-time rainfall monitoring data and each of the second early warning thresholds comprises: comparing each of the real-time rainfall monitoring data and each of the second early warning thresholds; if the real-time rainfall monitoring data is greater than or equal to the second red early warning threshold, the second early warning level of the real-time rainfall monitoring data is determined as red; if the real-time rainfall monitoring data is greater than or equal to the second orange early warning threshold and less than the second red early warning threshold, the second early warning level of the real-time rainfall monitoring data is determined as orange; if the real-time rainfall monitoring data is greater than or equal to the second yellow warning threshold and less than the second orange warning threshold, the second warning level of the real-time rainfall monitoring data is determined as yellow; if the real-time rainfall monitoring data is greater than or equal to the second blue warning threshold and less than the second yellow warning threshold, the second warning level of the real-time rainfall monitoring data is determined as blue; wherein the second red warning threshold is greater than the second orange warning threshold, the second orange warning threshold is greater than the second yellow warning threshold, and the second yellow warning threshold is greater than the second blue warning threshold.

7. The method according to claim 2, characterized in that, The determination of the global rainfall warning level of the tailings pond according to the first warning level and the second warning level of the tailings pond comprises: determining the number of warning indexes with the first warning level as red as a first red number, and determining the number of durations with the second warning level as red as a second red number; determining the number of warning indexes with the first warning level as orange as a first orange number, and determining the number of durations with the second warning level as orange as a second orange number; determining the number of warning indexes with the first warning level as yellow as a first yellow number, and determining the number of durations with the second warning level as yellow as a second yellow number; determining the number of warning indexes with the first warning level as blue as a first blue number, and determining the number of durations with the second warning level as blue as a second blue number; determining the global rainfall warning level of the tailings pond according to the first red number, the second red number, the first orange number, the second orange number, the first yellow number, the second yellow number, the first blue number, and the second blue number.

8. A device for determining a rainfall warning level of a tailings pond, characterized by The device comprises: a first warning threshold acquisition module configured to acquire a plurality of warning indexes and first warning thresholds of warning levels according to a local meteorological department of a tailings pond; a first warning level determination module configured to acquire a plurality of real-time rainfall monitoring data of the tailings pond, and determine a first warning level of the real-time rainfall monitoring data of each of the warning indexes according to the real-time rainfall monitoring data under each of the warning indexes and each of the first warning thresholds; a multi-duration rainfall calculation module configured to acquire basic hydrological characteristic data of the tailings pond, and calculate a multi-duration rainfall corresponding to a design flood control standard of the tailings pond according to the basic hydrological characteristic data; a second warning threshold calculation module configured to determine a hierarchical confidence interval coefficient of each of the warning levels, and calculate a second warning threshold of a plurality of warning levels of the multi-duration rainfall corresponding to the design flood control standard of the tailings pond according to the hierarchical confidence interval coefficient of each of the warning levels; a second warning level determination module configured to determine a second warning level of each of the real-time rainfall monitoring data of the tailings pond according to each of the real-time rainfall monitoring data and each of the second warning thresholds. The global rainfall warning level determination module is configured to determine a global rainfall warning level of the tailings pond according to the first warning level and the second warning level of the tailings pond.

9. A computer device, comprising: The memory stores a computer program, and the processor executes the computer program to implement the steps of the tailings pond rainfall warning level determination method in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the processor executes the computer program to implement the steps of the tailings pond rainfall warning level determination method in any one of claims 1-7.

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