CN-121982844-A - Dynamic early warning system, method, equipment and storage medium for tailing pond water level

CN121982844ACN 121982844 ACN121982844 ACN 121982844ACN-121982844-A

Abstract

The application relates to the field of tailing pond supervision and discloses a tailing pond water level dynamic early warning system, a tailing pond water level dynamic early warning method, tailing pond water level dynamic early warning equipment and a storage medium. The system comprises a water level monitoring module, an edge computing module, a trigger inspection module and a data processing module, wherein the water level monitoring module is used for continuously collecting real-time water level data of discrete points in a tailing pond area, the edge computing module is used for preprocessing the real-time water level data to generate corresponding trigger inspection instructions, the trigger inspection module is used for responding to the trigger inspection instructions and executing inspection tasks on areas corresponding to the trigger inspection instructions to collect space domain water level data of the tailing pond area, and the data processing module is used for generating multi-level safety early warning information according to the real-time water level data, fused water level field data and water level prediction data. According to the application, a set of three-dimensional monitoring and early warning system is constructed through the cooperative operation of the modules, so that the evolution from the traditional single passive monitoring to the global active early warning is realized, and the accuracy and reliability of the safety monitoring of the tailing pond are improved.

Inventors

HE BINBIN
CAO WENLONG
LU YAO
FAN DEQIANG
LI KUN
XIAO CHANGHONG
WANG SHA
HE XIAOMIN
CHU YIFAN
KE WENHAI

Assignees

矿冶科技集团有限公司
黑龙江多宝山铜业股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260202

Claims (10)

1. The tailing pond water level dynamic early warning system is characterized by comprising an edge calculation module, a trigger inspection module, a data processing module and a plurality of water level monitoring modules; the water level monitoring module is used for continuously collecting real-time water level data of discrete points in the tailing pond area; the edge calculation module is used for preprocessing each piece of real-time water level data and generating a corresponding trigger type inspection instruction; The triggering inspection module is used for responding to the triggering inspection instruction, executing inspection tasks on the area corresponding to the triggering inspection instruction and collecting the space domain water level data of the tailing pond area; the data processing module is used for fusing the real-time water level data and the spatial domain water level data to generate fused water level field data, predicting the water level height of a preset future time period based on the time sequence of the fused water level field data to generate water level prediction data, and generating multi-level safety early warning information according to the real-time water level data, the fused water level field data and the water level prediction data and combining with a preset multi-level early warning rule.
2. The tailing pond water level dynamic early warning system according to claim 1, wherein the edge calculation module comprises a data stagnation diagnosis unit, and the trigger type inspection instruction comprises a first trigger type inspection instruction; The data stagnation diagnosis unit is used for calculating standard deviation of real-time water level data of each water level monitoring module in a first preset time period and judging whether the standard deviation is smaller than a preset stability threshold value or not; The data stagnation diagnosis unit is further configured to determine a corresponding water level monitoring module as a data stagnation abnormal water level monitoring module if the water level monitoring module with the standard deviation smaller than the preset stability threshold exists, and generate a first trigger type inspection instruction for an area where the data stagnation abnormal water level monitoring module is located.
3. The tailing pond water level dynamic early warning system according to claim 2, wherein the edge calculation module further comprises a change rate diagnosis unit, and the trigger type inspection instruction further comprises a second trigger type inspection instruction; The change rate diagnosis unit is used for calculating the water level change rate of the real-time water level data of each water level monitoring module in a second preset time period and judging whether the absolute value of the water level change rate is larger than a preset rate mutation threshold value, wherein the second preset time period is smaller than the first preset time period; The change rate diagnosis unit is further configured to determine that the tailing pond area is in a rapid change state of water level if the absolute value of the change rate of the water level is greater than the preset rate mutation threshold value, and generate a second type trigger type inspection instruction for an area where the water level monitoring module with the maximum absolute value of the change rate of the water level is located and an area downstream of the area.
4. The tailing pond water level dynamic early warning system according to claim 3, wherein the edge calculation module further comprises a space consistency diagnosis unit, and the trigger type inspection instruction further comprises a third trigger type inspection instruction; The space consistency diagnosis unit is used for calculating the total standard deviation of the real-time water level data of each water level monitoring module and judging whether the total standard deviation is larger than a preset space discreteness threshold value or not; the space consistency diagnosis unit is further used for determining that the tailing pond area is in a water level space distribution consistency abnormal state and generating a third type trigger type inspection instruction aiming at the tailing pond area if the total standard deviation is larger than the preset space discreteness threshold value.
5. The tailing pond water level dynamic early warning system according to claim 1, wherein the data processing module comprises a data fusion unit; The data fusion unit is used for processing the spatial domain water level data by utilizing a preset point cloud processing algorithm to generate water surface elevation grid data, wherein the water surface elevation grid data is a function of space coordinates and time; the data fusion unit is further configured to use real-time water level data of each water level monitoring module in the same preset time period as a calibration point, perform spatial interpolation correction and reliability verification on the water level elevation grid data, and generate the fused water level field data.
6. The tailing pond water level dynamic early warning system according to claim 1, wherein the data processing module further comprises a trend prediction unit; The trend prediction unit is used for selecting a water level historical data sequence of a preset key area in the fused water level field data, predicting the water level height of a preset future time period by adopting a preset time sequence prediction algorithm according to the water level historical data sequence, and generating water level prediction data; The formula of the preset time sequence prediction algorithm is as follows: In the formula, For the preset prediction step size, Is at present Time to future After the step size Water level prediction data of the preset critical area at the moment, In order to preset the drift term, Is the first The order of the auto-regressive coefficients is preset, In order to preset the number of autoregressions, , Is at present Before the moment Water level measurement data for a single time step, Is at present Random errors in the time of day and, In order to move the average order of the number of steps, , Is the first The average coefficient of the order is calculated, Is historical prediction error data.
7. The tailing pond water level dynamic early warning system according to claim 1, wherein the data processing module further comprises an early warning decision unit, and the safety early warning information comprises primary safety early warning information, secondary safety early warning information and tertiary safety early warning information; The early warning decision unit is used for issuing the first-level safety early warning information when each real-time water level data or the fusion water level field data shows that the current water level exceeds a preset safe operation water level line but is lower than a preset warning water level line and the water level prediction data shows that the future water level does not exceed the current water level; The early warning decision unit is further configured to issue the second-level safety early warning information when each of the real-time water level data or the fused water level field data indicates that a difference between the current water level and the preset warning water level is smaller than a preset proximity threshold, or the water level prediction data indicates that the future water level will exceed the current water level and exceed the preset warning water level; The early warning decision unit is further configured to issue the three-level safety early warning information and automatically trigger a linkage mechanism with an external emergency response system when each of the real-time water level data or the fused water level field data indicates that the current water level exceeds the preset warning water level line, or the water level prediction data indicates that an absolute value of a water level prediction change rate of the future water level in a preset short time period is greater than a preset steep rise threshold.
8. A tailing pond water level dynamic early warning method, which is characterized by being applied to the tailing pond water level dynamic early warning system according to any one of claims 1 to 7, wherein the system comprises an edge calculation module, a trigger inspection module, a data processing module and a plurality of water level monitoring modules, and the method comprises the following steps: Continuously collecting real-time water level data of discrete points in a tailing pond area through the water level monitoring module; Preprocessing each piece of real-time water level data through the edge computing module to generate a corresponding trigger type inspection instruction; responding to the trigger type inspection instruction through the trigger type inspection module, executing an inspection task on an area corresponding to the trigger type inspection instruction, and collecting space domain water level data of the tailing pond area; And fusing the real-time water level data and the spatial domain water level data through the data processing module to generate fused water level field data, predicting the water level height of a preset future time period based on the time sequence of the fused water level field data to generate water level prediction data, and generating multi-level safety early warning information according to the real-time water level data, the fused water level field data and the water level prediction data and combining with a preset multi-level early warning rule.
9. A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the tailings pond water level dynamic early warning method of claim 8 when the computer program is executed.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the steps of the tailings pond water level dynamic early warning method of claim 8.

Description

Dynamic early warning system, method, equipment and storage medium for tailing pond water level Technical Field The invention relates to the field of tailing pond supervision, in particular to a tailing pond water level dynamic early warning system, a tailing pond water level dynamic early warning method, tailing pond water level dynamic early warning equipment and a storage medium. Background The tailing pond is used as a key facility for mining production, and the safe and stable operation of the tailing pond is a life line of a mine enterprise. Dynamic change of water level in the reservoir is one of core indexes for evaluating stability of the tailing reservoir, and dam break risk is obviously increased due to overhigh or abrupt rising of the water level, so that real-time and accurate monitoring and early warning of the water level are core technical fields for preventing major safety accidents. At present, the field mainly depends on installing sensing devices such as a water level gauge, a video monitoring device and the like at fixed point positions of a reservoir area to construct a ground monitoring network, and the core aim of the ground monitoring network is to realize continuous perception and overrun alarm of the water level state of the reservoir area. However, the existing monitoring mode mainly comprising a fixed sensor has obvious technical bottlenecks that firstly, the data reliability is insufficient, a single-point sensor is easy to cause long-term stagnation or distortion of data due to self faults, probe siltation or data transmission interruption to generate false alarm or missing alarm, secondly, the global and trend sensing capability is lacking, the spatial distribution general appearance of reservoir water level is difficult to be reflected by discrete point location data, the anomalies such as local dry beach, leakage and the like cannot be effectively identified, and a prediction model cannot be constructed based on historical data to realize early warning in advance. Disclosure of Invention In view of the above, the invention aims to overcome the defects in the prior art and provide a tailing pond water level dynamic early warning system, a tailing pond water level dynamic early warning method, tailing pond water level dynamic early warning equipment and a storage medium. The invention provides the following technical scheme: in a first aspect, the invention provides a dynamic early warning system for the water level of a tailing pond, which comprises an edge calculation module, a triggering inspection module, a data processing module and a plurality of water level monitoring modules; the water level monitoring module is used for continuously collecting real-time water level data of discrete points in the tailing pond area; the edge calculation module is used for preprocessing each piece of real-time water level data and generating a corresponding trigger type inspection instruction; The triggering inspection module is used for responding to the triggering inspection instruction, executing inspection tasks on the area corresponding to the triggering inspection instruction and collecting the space domain water level data of the tailing pond area; the data processing module is used for fusing the real-time water level data and the spatial domain water level data to generate fused water level field data, predicting the water level height of a preset future time period based on the time sequence of the fused water level field data to generate water level prediction data, and generating multi-level safety early warning information according to the real-time water level data, the fused water level field data and the water level prediction data and combining with a preset multi-level early warning rule. In an alternative embodiment, the edge calculation module includes a data stagnation diagnosis unit, and the triggered inspection instruction includes a first triggered inspection instruction; The data stagnation diagnosis unit is used for calculating standard deviation of real-time water level data of each water level monitoring module in a first preset time period and judging whether the standard deviation is smaller than a preset stability threshold value or not; The data stagnation diagnosis unit is further configured to determine a corresponding water level monitoring module as a data stagnation abnormal water level monitoring module if the water level monitoring module with the standard deviation smaller than the preset stability threshold exists, and generate a first trigger type inspection instruction for an area where the data stagnation abnormal water level monitoring module is located. In an alternative embodiment, the edge calculation module further includes a change rate diagnosis unit, and the triggered inspection instruction further includes a second triggered inspection instruction; The change rate diagnosis unit is used for calculating the water level change rate of t