CN116777101A - Liquid level change early warning method and system - Google Patents
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Abstract
The invention provides a liquid level change early warning method and a liquid level change early warning system, wherein the liquid level change early warning method comprises the following steps: acquiring a water level monitoring data set of a water layer in a preset time period; performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index; acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value; determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index; and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range. The method can better improve the accuracy of liquid level change early warning, avoid untimely early warning of water damage accidents and reduce potential safety hazards.
Description
Technical Field
The invention relates to the technical field of geological water damage monitoring, in particular to a liquid level change early warning method and system.
Background
Along with the continuous improvement of the importance of people on the coal mine safety production, the coal mine monitoring equipment is gradually perfected, and the coal mine water damage monitoring and early warning system is also increasingly applied to the coal mine safety production. At present, for monitoring coal mine water damage, a liquid level sensor is generally adopted to acquire a liquid level signal of an aquifer, a liquid level change value of adjacent time is determined, and whether the liquid level change value exceeds a certain fixed threshold value is judged to complete the monitoring of coal mine water damage.
However, in the actual production process, aiming at the aquifer with stronger water enrichment or more abundant supply, when the mining disturbance reaches the corresponding aquifer, the water level of the aquifer usually does not obviously drop, but gradually drops, and the water level drop change trend with small amplitude is shown. Therefore, if the method for judging whether the liquid level change value of the adjacent time exceeds a certain fixed threshold value is adopted, misguidance is easily generated on mine technicians, the false image of water damage accidents is caused, and a large potential safety hazard exists.
Disclosure of Invention
The invention provides a liquid level change early warning method and a liquid level change early warning system, which are used for solving the problems that in the prior art, the liquid level change early warning is carried out by adopting a method for judging whether the liquid level change value of adjacent time exceeds a certain fixed threshold value, misleading is easily generated for mine technicians, the false image of no water damage accident is caused, and a larger potential safety hazard exists.
The invention provides a liquid level change early warning method, which comprises the following steps:
acquiring a water level monitoring data set of a water layer in a preset time period;
performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index;
Acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value;
determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index;
and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
Optionally, at least one of the monitoring indexes includes: a water level change amplitude index, a water level change speed index and a water level change trend index.
Optionally, based on at least one preset monitoring index, performing a monitoring index operation on the water level monitoring data in the water level monitoring data set, and the step of obtaining a monitoring index data sequence corresponding to the monitoring index includes:
performing water level change amplitude operation on the water level monitoring data based on the water level change amplitude index to obtain a water level change amplitude sequence corresponding to the water level change amplitude index;
performing water level change speed operation on the water level monitoring data based on the water level change speed index to acquire a water level change speed sequence corresponding to the water level change speed index;
And carrying out water level change trend operation on the water level monitoring data based on the water level change trend index to acquire a water level change trend sequence corresponding to the water level change trend index.
Optionally, based on the water level variation amplitude index, performing a water level variation amplitude operation on the water level monitoring data, and acquiring a water level variation amplitude sequence corresponding to the water level variation amplitude index includes:
counting the historical water level values of the aquifer to obtain the maximum value in the historical water level values;
acquiring a first difference value between the maximum value and the water level monitoring data, and taking the first difference value as a water level change amplitude value corresponding to the water level monitoring data;
when the water level change amplitude value is larger than or equal to a preset amplitude threshold value, an amplitude anomaly identification value is marked on the water level change amplitude value so as to complete acquisition of the water level change amplitude sequence.
Optionally, based on the water level change speed index, performing a water level change speed operation on the water level monitoring data, and acquiring a water level change speed sequence corresponding to the water level change speed index includes:
acquiring a second difference value between each water level monitoring data and the previous water level monitoring data;
Determining the ratio between the second difference value and a preset data acquisition period as a water level change speed value corresponding to the water level monitoring data;
when the water level change speed values of the adjacent target numbers are reduced in a gradient manner, marking a gradient abnormal identification value for the water level change speed values so as to finish the acquisition of the water level change speed sequence.
Optionally, based on the water level change trend index, performing a water level change trend operation on the water level monitoring data, and acquiring a water level change trend sequence corresponding to the water level change trend index includes:
acquiring a third difference value between each water level monitoring data and corresponding interval water level monitoring data based on a preset change interval number, wherein the interval water level monitoring data refer to water level monitoring data positioned before current water level monitoring data, the interval between the interval water level monitoring data and the current water level monitoring data is the change interval number, and the change interval number is more than or equal to 2;
determining a product of the number of change intervals and the data acquisition period;
determining the ratio of the third difference value to the product as a water level change trend value of the current water level monitoring data;
When the water level change trend value is larger than the water level change speed value corresponding to the water level monitoring data, labeling a trend abnormal identification value on the water level change trend value so as to complete acquisition of the water level change trend sequence.
Optionally, the step of obtaining an entropy value of each monitoring index data sequence and determining the dynamic weight corresponding to each monitoring index based on the entropy value includes:
acquiring the proportion of each monitoring index data in the monitoring index data sequence;
acquiring an entropy value of each monitoring index data sequence based on the specific gravity;
determining the difference between the entropy value and 1 as a difference coefficient of a corresponding monitoring index;
and obtaining the sum value of all the difference coefficients, and taking the ratio between the difference coefficient of any monitoring index and the sum value as the dynamic weight of the corresponding monitoring index.
Optionally, the step of determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index includes:
acquiring monitoring index data of target time from each monitoring index data sequence;
When at least one of the monitoring index data of the target time is marked with a corresponding abnormal identification value, carrying out average processing on the dynamic weight and the static weight corresponding to the monitoring index to obtain a target weight corresponding to each monitoring index; and determining the disturbance degree of the aquifer at the target time based on the monitoring index data of the target time and the target weight corresponding to each monitoring index.
Optionally, the step of performing liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range includes:
and carrying out hierarchical early warning based on the position of the disturbance degree of the aquifer in the disturbance threshold range, wherein the disturbance threshold range comprises at least two stage ranges, the position of the disturbance degree of the aquifer in the disturbance threshold range refers to the stage range corresponding to the disturbance degree of the aquifer, and the hierarchical early warning refers to early warning with different degrees on the disturbance degree of the aquifer corresponding to different stage ranges.
The invention also provides a liquid level change early warning system, which comprises:
the data acquisition module is used for acquiring a water level monitoring data set of the water layer in a preset time period;
the index operation module is used for carrying out monitoring index operation on the water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index;
The dynamic weight acquisition module is used for acquiring the entropy value of each monitoring index data sequence and determining the dynamic weight corresponding to each monitoring index based on the entropy value;
the disturbance degree determining module is used for determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index;
and the early warning module is used for carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
The invention also provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the liquid level change early warning method according to any one of the above when executing the program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a liquid level change warning method as described in any of the above.
The invention has the beneficial effects that: according to the liquid level change early warning method and system, a water level monitoring data set of a water layer in a preset time period is obtained; performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to acquire a monitoring index data sequence corresponding to the monitoring index; acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value; determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index; and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range. The accuracy of liquid level change early warning can be improved well, water damage accidents are prevented from being early warned untimely, and potential safety hazards are reduced.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a liquid level change early warning method provided by the invention;
FIG. 2 is a schematic flow chart of determining a dynamic weight corresponding to each monitoring index in the liquid level change early warning method provided by the invention;
FIG. 3 is a schematic flow chart of determining the disturbance degree of an aquifer at a target time in the liquid level change early warning method provided by the invention;
FIG. 4 is a schematic diagram of the liquid level change pre-warning system according to the present invention;
fig. 5 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
For ease of understanding, the technical terms to which the present invention relates are explained herein.
Aqueous layer: a formation capable of giving and transmitting significant amounts of water under typical field conditions. Rock with good water permeability and large gaps, pebbles, coarse sand, loose sediments and rock rich in cracks, and rock with karst development can be an aquifer.
Mining: and (3) the phenomenon of movement deformation of the overburden during coal mining.
Rich water: water-out capacity of the aquifer. Typically expressed as a maximum water inflow that specifies a certain bore hole.
Coal mine water damage: in the construction and development process of mines, the water level of the water-bearing layer is reduced, and water with different forms and different water sources enters the pit through a certain way, so that adverse effects and disasters are brought to the construction and production of the mines.
By way of example, the method and system for early warning of liquid level change provided by the invention are described below with reference to fig. 1 to 5.
Referring to fig. 1, the liquid level change early warning method provided in this embodiment includes:
s101: a water level monitoring dataset of the water layer contained in a preset time period is obtained.
It should be noted that, the water level monitoring data set includes a plurality of water level monitoring data, that is, the water level value of the aquifer, the plurality of water level monitoring data respectively correspond to corresponding monitoring time, the interval time of adjacent water level monitoring data is a preset data acquisition period, and the plurality of water level monitoring data are sequentially arranged according to time sequence. And the water level of the aquifer is monitored in real time according to the data acquisition period by controlling a liquid level sensor arranged at the monitoring layer position of the aquifer, so as to acquire a plurality of water level monitoring data.
Specifically, the method for determining the monitoring horizon of the aquifer comprises the following steps:
first, the lithology of the borehole histogram of the face and surrounding is counted. The working surface refers to a working site where minerals or rock are directly mined. The overburden moves with the progress of the extraction.
Next, the ratio of sandstone to mudstone is determined based on the lithology, and the uniaxial compressive strength of the overburden (a formation above the coal layer, which may also be referred to as a roof) is obtained based on the determination result. For example: if the proportion of the sandstone is higher than that of the mud rock, the uniaxial compressive strength of the sandstone, such as 35 megapascals and the like, is obtained.
And then, determining the overburden type of the overburden layer based on the corresponding relation between the preset uniaxial compressive strength and the overburden type. The corresponding relation can be obtained from building, water body, railway and main roadway coal pillar reserving and pressed coal exploitation standard. The overburden type includes: extremely weak, medium hard and hard.
And determining the overburden fracture height H corresponding to the overburden type based on the overburden type. Specifically, different rock covering types in the building, under water, railway and main roadway coal pillar retaining and coal mining standards correspond to different damage height calculation formulas. Therefore, after the overburden type is determined, a damage height calculation formula corresponding to the overburden type is obtained, and the preset coal seam mining thickness is substituted into the corresponding damage height calculation formula to obtain the overburden damage height.
Finally, determining the type of the aquifer based on the water inflow of the drilling unit obtained by the water pumping test of the aquifer, wherein the type of the aquifer comprises: strong water, medium water, weak water, etc. And determining the position of the aquifer with the type of medium water-rich or strong water-rich aquifer within the distance from the coal seam roof H-2H as the aquifer monitoring horizon.
S102: and carrying out monitoring index operation on the water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to acquire a monitoring index data sequence corresponding to the monitoring index.
Specifically, the monitoring index data sequence includes a plurality of monitoring index data. And carrying out monitoring index operation on the water level monitoring data in the water level monitoring data set one by one to obtain monitoring index data corresponding to each water level monitoring data. It can be understood that if the monitoring indexes are multiple, firstly, according to any one of the multiple monitoring indexes, performing corresponding monitoring index operation on each water level monitoring data in the water level monitoring data set one by one, and obtaining a monitoring index data sequence corresponding to the monitoring index. And then, according to any other monitoring index, carrying out corresponding monitoring index operation on each water level monitoring data in the water level monitoring data set one by one until a monitoring index sequence corresponding to each monitoring index is obtained. The monitoring index data in the monitoring index data sequence and the water level monitoring data in the water level monitoring data set are in one-to-one correspondence. And S102, setting at least one monitoring index, carrying out monitoring index operation on the water level monitoring data based on the at least one monitoring index, and obtaining a monitoring index data sequence corresponding to the monitoring index, so that the subsequent comprehensive early warning based on the at least one monitoring index data sequence is facilitated, and the accuracy and the reliability of the liquid level change early warning are improved.
S103: and acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value.
It should be noted that, by acquiring the entropy value of each monitoring index data sequence and determining the dynamic weight corresponding to each monitoring index based on the entropy value, the dynamic weight and the static weight of each monitoring index can be conveniently combined subsequently, so as to improve the accuracy of the acquired disturbance degree of the aquifer. It is understood that the concept of entropy derives from heat. The microscopic nature and statistical significance of the irreversibility of the thermodynamic process is that the system tends to be disordered from an ordered state and tends to be a state with a higher probability from a state with a lower probability. Entropy is a measure of the degree of disorder of a large number of microscopic particles that make up a system, the more disordered, chaotic the system, the greater the entropy. In the information theory, the entropy value is inversely proportional to the information quantity, that is, the larger the information quantity is, the smaller the uncertainty is reflected, and the smaller the entropy value is, and vice versa. Therefore, in step S103, by obtaining the entropy value of each monitoring index data sequence and determining the dynamic weight corresponding to each monitoring index based on the entropy value, the characteristic of the entropy value is better utilized, so as to obtain the discrete degree of a certain monitoring index, and the discrete degree is represented by the dynamic weight of the monitoring index.
S104: and determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index. Combining the dynamic weight and the static weight of the monitoring index to obtain the target weight of the monitoring index, determining the monitoring index data of the target time from the monitoring index data sequence, and determining the disturbance degree of the aquifer of the target time based on the monitoring index data and the target weight. The target time may be a time closest to the current time, and will not be described herein. By combining the static weight and the dynamic weight of each monitoring index, the target weight of the monitoring index with higher accuracy can be obtained, and the accuracy of the disturbance degree of the aquifer can be improved.
It should be mentioned that the static weight is a weight value preset for each monitoring index. The static weight obtaining mode may be a scoring mode of an expert, that is, scoring is performed according to the knowledge of the expert about the relative importance degree (or the quality, the preference, the strength, etc.) of each monitoring index, so as to obtain the static weight of each monitoring index. For example: and respectively scoring the plurality of monitoring indexes by a plurality of experts, carrying out average treatment on the score corresponding to each monitoring index, and taking the average value as the static weight of the corresponding monitoring index.
S105: and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range. The step carries out liquid level change early warning based on the disturbance degree and the disturbance threshold range of the aquifer obtained by at least one monitoring index and the corresponding target weight, can realize accurate and reasonable early warning of the coal mine water disaster, and provides important support for mining parties to take water disaster prevention measures.
In some embodiments, at least one of the monitoring metrics comprises: a water level change amplitude index, a water level change speed index and a water level change trend index. By setting the monitoring index, the accuracy of liquid level change early warning can be improved well, and the early warning is avoided by using a single threshold value.
Further, based on at least one preset monitoring index, performing monitoring index operation on the water level monitoring data in the water level monitoring data set, and obtaining a monitoring index data sequence corresponding to the monitoring index includes:
s1021: and carrying out water level change amplitude operation on the water level monitoring data based on the water level change amplitude index to obtain a water level change amplitude sequence corresponding to the water level change amplitude index.
S1022: and carrying out water level change speed calculation on the water level monitoring data based on the water level change speed index to acquire a water level change speed sequence corresponding to the water level change speed index.
S1023: and carrying out water level change trend operation on the water level monitoring data based on the water level change trend index to acquire a water level change trend sequence corresponding to the water level change trend index.
The step of performing a water level change amplitude operation on the water level monitoring data based on the water level change amplitude index to obtain a water level change amplitude sequence corresponding to the water level change amplitude index includes:
first, the historical water level number of the aquifer is countedA value to obtain the maximum value H in the historical water level value max 。
Second, the maximum value H is obtained max And the water level monitoring data H i A first difference (H max -H i ) And taking the first difference value as a water level change amplitude value corresponding to the water level monitoring data.
And finally, when the water level change amplitude value is larger than or equal to a preset amplitude threshold value, marking an amplitude abnormality identification value for the water level change amplitude value so as to complete acquisition of the water level change amplitude sequence. The amplitude threshold may be set according to practical situations, such as 5m, and will not be described herein. The amplitude abnormal identification value can be 1, and when the water level change amplitude value is larger than or equal to a preset amplitude threshold value, the water level change amplitude value can be marked with an amplitude normal identification value or not, and the amplitude normal identification value can be 0, and the like.
The step of calculating the water level change speed of the water level monitoring data based on the water level change speed index, and obtaining a water level change speed sequence corresponding to the water level change speed index includes:
first, a second difference between each water level monitoring data and the previous water level monitoring data is obtained. Specifically, the water level monitoring data in the water level monitoring data set are sequentially arranged at intervals of a preset data acquisition period according to time sequence, and the previous water level monitoring data refers to the previous water level monitoring data of the front side data of the current water level. The calculation of the second difference value of the first water level monitoring data in the water level monitoring data set may be completed by means of bit filling in the front, that is, supplementing water level monitoring data before the first water level monitoring data, and the water level monitoring data may be the water level monitoring data at the tail of the adjacent water level monitoring data set.
And secondly, determining the ratio between the second difference value and a preset data acquisition period as a water level change speed value corresponding to the water level monitoring data. Namely, the ratio between the second difference value and a preset data acquisition period is used as a water level change speed value corresponding to the water level monitoring data.
Specifically, the mathematical expression for obtaining the water level change speed value is:
wherein delta i Represents the water level change speed value corresponding to the ith water level monitoring data, H i Representing current water level monitoring data, H i-1 And the delta t represents a data acquisition period, namely an acquisition time interval between adjacent water level monitoring data, i=1, 2..n, and n represents the number of the water level monitoring data in the water level monitoring data set.
And finally, when the water level change speed values of the adjacent target numbers are reduced in a gradient manner, marking a gradient abnormal identification value for the water level change speed values so as to finish the acquisition of the water level change speed sequence. The target number may be set according to actual conditions. In some embodiments, the target number is 4. When the adjacent 4 water level change speed values are reduced or reduced in a gradient manner, the water level gradient change of the water-bearing layer is considered to be abnormal, so that each water level change speed value in the water level change speed sequence is marked with a gradient abnormal identification value, or the water level change speed sequence is directly marked with a gradient abnormal identification value, and whether gradient abnormality occurs is conveniently and subsequently identified. The gradient anomaly identification value may be 1. Wherein, the mathematical expression that the adjacent 4 water level change speed values are reduced or reduced in a gradient way is as follows:
Wherein delta i-1 Representing the water level change speed value delta corresponding to the i-1 water level monitoring data i-2 Representing the water level change speed value delta corresponding to the i-2 water level monitoring data i-3 And the water level change speed value corresponding to the i-3 water level monitoring data is represented.
In some embodiments, the step of performing a water level change trend operation on the water level monitoring data based on the water level change trend indicator, and obtaining a water level change trend sequence corresponding to the water level change trend indicator includes:
firstly, based on a preset change interval number, a third difference value between each water level monitoring data and corresponding interval water level monitoring data is obtained, wherein the interval water level monitoring data refer to water level monitoring data positioned before current water level monitoring data, the interval between the interval water level monitoring data and the current water level monitoring data is the change interval number, and the change interval number is more than or equal to 2.
Secondly, determining the product of the change interval number and the data acquisition period;
and determining the ratio of the third difference value to the product as a water level change trend value of the current water level monitoring data. The mathematical expression of the water level change trend value is obtained as follows:
Wherein χ is i Represents the water level change trend value corresponding to the ith water level monitoring data, H i-e Represented at H i The previous interval water level monitoring data, e, represents the number of variation intervals, i.e. H i And H is i-e The interval between them.
And finally, when the water level change trend value is larger than the water level change speed value corresponding to the water level monitoring data, labeling a trend abnormal identification value for the water level change trend value so as to complete acquisition of the water level change trend sequence. I.e. as χ i >δ i And when the water level change trend value is marked with a trend anomaly identification value, wherein the trend anomaly identification value can be 1. And labeling a trend abnormality identification value to the water level change trend value, so that whether the water level change trend is abnormal or not can be conveniently identified later.
Referring to fig. 2, in some embodiments, the step of obtaining an entropy value of each of the monitoring index data sequences and determining the dynamic weight corresponding to each of the monitoring indexes based on the entropy value includes:
s1031: and acquiring the proportion of each monitoring index data in the monitoring index data sequence. That is, the specific gravity transformation is performed on each monitoring index data, and the mathematical expression of the specific gravity transformation is as follows:
Wherein P is ji Representing the proportion of the ith monitoring index data corresponding to the monitoring index j in the corresponding monitoring index data sequence, r ji And the ith monitoring index data corresponding to the monitoring index j is represented.
Specifically, the monitoring index data sequence includes: a water level change amplitude sequence, a water level change speed sequence and a water level change trend sequence. The monitoring index data in the water level change amplitude sequence refer to a plurality of water level change amplitude values. The monitoring index data in the water level change speed sequence refers to a plurality of water level change speed values. The monitoring index data in the water level change trend sequence refers to a water level change trend value.
S1032: and acquiring the entropy value of each monitoring index data sequence based on the specific gravity. The mathematical expression is:
wherein S is j Representing the entropy value of the j-th monitoring index data sequence.
S1033: and determining the difference between the entropy value and 1 as a difference coefficient of a corresponding monitoring index. I.e. subtracting the entropy value from 1, determining the obtained difference as a difference coefficient of the corresponding detection index. The mathematical expression is as follows: alpha j ＝1-S j Wherein alpha is j Representing the coefficient of variation of the monitor index j.
S1034: obtaining the sum of all the difference coefficients and selecting any monitoring index The ratio between the difference coefficient and the sum value is used as the dynamic weight of the corresponding monitoring index. The mathematical expression is as follows:where λj represents the dynamic weight of the monitor index j and m represents the number of monitor indexes.
Referring to fig. 3, in some embodiments, the step of determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight, and a preset static weight corresponding to each monitoring index includes:
s1041: and acquiring monitoring index data of the target time from each monitoring index data sequence. For example: acquiring 12:00, and monitoring index data in each monitoring index data sequence.
S1042: when at least one of the monitoring index data of the target time is marked with a corresponding abnormal identification value, carrying out average processing on the dynamic weight and the static weight corresponding to the monitoring index to obtain a target weight corresponding to each monitoring index; and determining the disturbance degree of the aquifer at the target time based on the monitoring index data of the target time and the target weight corresponding to each monitoring index. For example: when the water level change amplitude value of the target time is marked with an amplitude anomaly identification value and/or the water level change speed value is marked with a gradient anomaly identification value and/or the water level change trend value is marked with a trend anomaly identification value, carrying out average processing on the dynamic weight and the static weight of each monitoring index to obtain the target weight of each monitoring index (specifically comprising the steps of carrying out average processing on the dynamic weight and the static weight of the water level change amplitude index to obtain the target weight of the water level change amplitude index, carrying out average processing on the dynamic weight and the static weight of the water level change speed index to obtain the target weight of the water level change speed index and carrying out average processing on the dynamic weight and the static weight of the water level change trend index to obtain the target weight of the water level change trend index). And then, summing the product of the target weight of the water level change amplitude index and the water level change amplitude value of the target time, the product of the target weight of the water level change speed index and the water level change speed value of the target time, and the product of the target weight of the water level change trend index and the water level change trend value of the target time to obtain the disturbance degree of the aquifer of the target time, wherein the accuracy is higher and the rationality is higher.
In some embodiments, the step of performing the liquid level change pre-warning based on the disturbance degree of the aquifer and a preset disturbance threshold range comprises:
and carrying out hierarchical early warning based on the position of the disturbance degree of the aquifer in the disturbance threshold range, wherein the disturbance threshold range comprises at least two stage ranges, the position of the disturbance degree of the aquifer in the disturbance threshold range refers to the stage range corresponding to the disturbance degree of the aquifer, and the hierarchical early warning refers to early warning with different degrees on the disturbance degree of the aquifer corresponding to different stage ranges. For example: the disturbance threshold range comprises two stage ranges, each stage range corresponds to a corresponding early warning grade, and early warning of the corresponding early warning grade is carried out based on the stage range where the disturbance degree of the aquifer is located. Also for example: the disturbance threshold range comprises three stage ranges, the three stage ranges correspond to blue, orange and red three-stage early warning respectively, if the disturbance degree of the aquifer is in the first stage range, the blue early warning is sent out, and if the disturbance degree of the aquifer is in the second stage range, the orange early warning is sent out, so that the severity degree of the water damage early warning can be conveniently identified by related personnel. In the early warning process, the abnormal monitoring index can be determined based on the abnormal identification value corresponding to the monitoring index data of the target time, and the abnormal monitoring index is fed back to the associated terminal equipment.
In some embodiments, the liquid level change early warning can be directly performed based on the abnormal identification value of the monitoring index data of the target time, that is, the disturbance degree of the aquifer is not required to be obtained. For example: if the water level change amplitude value of the target time is marked with an amplitude abnormality identification value, liquid level change early warning is carried out, and monitoring indexes with abnormality and corresponding water level change amplitude values are fed back to the associated terminal equipment.
By way of example, the liquid level change early-warning system provided by the invention is described below, and the liquid level change early-warning system described below and the liquid level change early-warning method described above can be referred to correspondingly.
Referring to fig. 4, the liquid level change early warning system provided in this embodiment includes:
the data acquisition module 401 is configured to acquire a water level monitoring data set of a water-containing layer within a preset time period;
the index operation module 402 is configured to perform a monitoring index operation on the water level monitoring data in the water level monitoring data set based on at least one preset monitoring index, and obtain a monitoring index data sequence corresponding to the monitoring index;
a dynamic weight obtaining module 403, configured to obtain an entropy value of each monitoring index data sequence, and determine a dynamic weight corresponding to each monitoring index based on the entropy value;
The disturbance degree determining module 404 is configured to determine a disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight, and a preset static weight corresponding to each monitoring index;
and the early warning module 405 is used for carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range. The data acquisition module 401, the index operation module 402, the dynamic weight acquisition module 403, the disturbance degree determination module 404 and the early warning module 405 are connected. The system can better improve the accuracy of liquid level change early warning, avoid untimely water damage accident early warning, reduce the potential safety hazard of coal mining, and has stronger feasibility and lower cost.
In some embodiments, at least one of the monitoring metrics comprises: a water level change amplitude index, a water level change speed index and a water level change trend index.
In some embodiments, the index operation module 402 includes:
the water level change amplitude sequence unit is used for carrying out water level change amplitude operation on the water level monitoring data based on the water level change amplitude index to obtain a water level change amplitude sequence corresponding to the water level change amplitude index;
The water level change speed sequence unit is used for carrying out water level change speed operation on the water level monitoring data based on the water level change speed index to obtain a water level change speed sequence corresponding to the water level change speed index;
and the water level change trend sequence unit is used for carrying out water level change trend operation on the water level monitoring data based on the water level change trend index to obtain a water level change trend sequence corresponding to the water level change trend index.
In some embodiments, the water level variation amplitude sequence unit is specifically configured to:
counting the historical water level values of the aquifer to obtain the maximum value in the historical water level values;
acquiring a first difference value between the maximum value and the water level monitoring data, and taking the first difference value as a water level change amplitude value corresponding to the water level monitoring data;
when the water level change amplitude value is larger than or equal to a preset amplitude threshold value, an amplitude anomaly identification value is marked on the water level change amplitude value so as to complete acquisition of the water level change amplitude sequence.
In some embodiments, the water level change speed sequence unit is specifically configured to:
acquiring a second difference value between each water level monitoring data and the previous water level monitoring data;
Determining the ratio between the second difference value and a preset data acquisition period as a water level change speed value corresponding to the water level monitoring data;
when the water level change speed values of the adjacent target numbers are reduced in a gradient manner, marking a gradient abnormal identification value for the water level change speed values so as to finish the acquisition of the water level change speed sequence.
In some embodiments, the water level change trend sequence unit is specifically configured to:
acquiring a third difference value between each water level monitoring data and corresponding interval water level monitoring data based on a preset change interval number, wherein the interval water level monitoring data refer to water level monitoring data positioned before current water level monitoring data, the interval between the interval water level monitoring data and the current water level monitoring data is the change interval number, and the change interval number is more than or equal to 2;
determining a product of the number of change intervals and the data acquisition period;
determining the ratio of the third difference value to the product as a water level change trend value of the current water level monitoring data;
when the water level change trend value is larger than the water level change speed value corresponding to the water level monitoring data, labeling a trend abnormal identification value on the water level change trend value so as to complete acquisition of the water level change trend sequence.
In some embodiments, the dynamic weight acquisition module 403 is specifically configured to:
acquiring the proportion of each monitoring index data in the monitoring index data sequence;
acquiring an entropy value of each monitoring index data sequence based on the specific gravity;
determining the difference between the entropy value and 1 as a difference coefficient of a corresponding monitoring index;
and obtaining the sum value of all the difference coefficients, and taking the ratio between the difference coefficient of any monitoring index and the sum value as the dynamic weight of the corresponding monitoring index.
In some embodiments, the disturbance degree determination module 404 is specifically configured to:
acquiring monitoring index data of target time from each monitoring index data sequence;
when at least one of the monitoring index data of the target time is marked with a corresponding abnormal identification value, carrying out average processing on the dynamic weight and the static weight corresponding to the monitoring index to obtain a target weight corresponding to each monitoring index; and determining the disturbance degree of the aquifer at the target time based on the monitoring index data of the target time and the target weight corresponding to each monitoring index.
In some embodiments, the early warning module 405 is specifically configured to:
And carrying out hierarchical early warning based on the position of the disturbance degree of the aquifer in the disturbance threshold range, wherein the disturbance threshold range comprises at least two stage ranges, the position of the disturbance degree of the aquifer in the disturbance threshold range refers to the stage range corresponding to the disturbance degree of the aquifer, and the hierarchical early warning refers to early warning with different degrees on the disturbance degree of the aquifer corresponding to different stage ranges.
Fig. 5 illustrates a physical schematic diagram of an electronic device, as shown in fig. 5, which may include: processor 510, communication interface (Communications Interface) 520, memory 530, and communication bus 540, wherein processor 510, communication interface 520, memory 530 complete communication with each other through communication bus 540. Processor 510 may invoke logic instructions in memory 530 to perform a liquid level change warning method comprising: acquiring a water level monitoring data set of a water layer in a preset time period; performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index; acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value; determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index; and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
Further, the logic instructions in the memory 530 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of executing the liquid level change warning method provided by the above methods, the method comprising: acquiring a water level monitoring data set of a water layer in a preset time period; performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index; acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value; determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index; and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the liquid level change warning method provided by the above methods, the method comprising: acquiring a water level monitoring data set of a water layer in a preset time period; performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index; acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value; determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index; and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The liquid level change early warning method is characterized by comprising the following steps of:
acquiring a water level monitoring data set of a water layer in a preset time period;
performing monitoring index operation on water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index;
acquiring an entropy value of each monitoring index data sequence, and determining a dynamic weight corresponding to each monitoring index based on the entropy value;
determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index;
and carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
2. The liquid level change warning method according to claim 1, wherein at least one of the monitoring indicators comprises: a water level change amplitude index, a water level change speed index and a water level change trend index.
3. The liquid level change early warning method according to claim 2, wherein the step of performing a monitoring index operation on the water level monitoring data in the water level monitoring data set based on at least one preset monitoring index, and obtaining a monitoring index data sequence corresponding to the monitoring index comprises:
Performing water level change amplitude operation on the water level monitoring data based on the water level change amplitude index to obtain a water level change amplitude sequence corresponding to the water level change amplitude index;
performing water level change speed operation on the water level monitoring data based on the water level change speed index to acquire a water level change speed sequence corresponding to the water level change speed index;
and carrying out water level change trend operation on the water level monitoring data based on the water level change trend index to acquire a water level change trend sequence corresponding to the water level change trend index.
4. The liquid level change early warning method according to claim 3, wherein the step of performing a water level change amplitude operation on the water level monitoring data based on the water level change amplitude index, and obtaining a water level change amplitude sequence corresponding to the water level change amplitude index comprises:
counting the historical water level values of the aquifer to obtain the maximum value in the historical water level values;
acquiring a first difference value between the maximum value and the water level monitoring data, and taking the first difference value as a water level change amplitude value corresponding to the water level monitoring data;
When the water level change amplitude value is larger than or equal to a preset amplitude threshold value, an amplitude anomaly identification value is marked on the water level change amplitude value so as to complete acquisition of the water level change amplitude sequence.
5. The liquid level change early warning method according to claim 3, wherein the step of performing a water level change speed operation on the water level monitor data based on the water level change speed index, and obtaining a water level change speed sequence corresponding to the water level change speed index, comprises:
acquiring a second difference value between each water level monitoring data and the previous water level monitoring data;
determining the ratio between the second difference value and a preset data acquisition period as a water level change speed value corresponding to the water level monitoring data;
when the water level change speed values of the adjacent target numbers are reduced in a gradient manner, marking a gradient abnormal identification value for the water level change speed values so as to finish the acquisition of the water level change speed sequence.
6. The liquid level change early warning method according to claim 3, wherein the step of performing a water level change trend operation on the water level monitoring data based on the water level change trend index, and obtaining a water level change trend sequence corresponding to the water level change trend index, comprises:
Acquiring a third difference value between each water level monitoring data and corresponding interval water level monitoring data based on a preset change interval number, wherein the interval water level monitoring data refer to water level monitoring data positioned before current water level monitoring data, the interval between the interval water level monitoring data and the current water level monitoring data is the change interval number, and the change interval number is more than or equal to 2;
determining a product of the number of change intervals and the data acquisition period;
determining the ratio of the third difference value to the product as a water level change trend value of the current water level monitoring data;
when the water level change trend value is larger than the water level change speed value corresponding to the water level monitoring data, labeling a trend abnormal identification value on the water level change trend value so as to complete acquisition of the water level change trend sequence.
7. The liquid level change early warning method according to claim 1, wherein the step of obtaining an entropy value of each of the monitoring index data sequences and determining a dynamic weight corresponding to each of the monitoring indexes based on the entropy values comprises:
acquiring the proportion of each monitoring index data in the monitoring index data sequence;
Acquiring an entropy value of each monitoring index data sequence based on the specific gravity;
determining the difference between the entropy value and 1 as a difference coefficient of a corresponding monitoring index;
and obtaining the sum value of all the difference coefficients, and taking the ratio between the difference coefficient of any monitoring index and the sum value as the dynamic weight of the corresponding monitoring index.
8. The liquid level change pre-warning method according to claim 1, wherein the step of determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight, and a preset static weight corresponding to each monitoring index comprises:
acquiring monitoring index data of target time from each monitoring index data sequence;
when at least one of the monitoring index data of the target time is marked with a corresponding abnormal identification value, carrying out average processing on the dynamic weight and the static weight corresponding to the monitoring index to obtain a target weight corresponding to each monitoring index; and determining the disturbance degree of the aquifer at the target time based on the monitoring index data of the target time and the target weight corresponding to each monitoring index.
9. The liquid level change pre-warning method according to claim 1, wherein the step of performing the liquid level change pre-warning based on the disturbance degree of the aquifer and a preset disturbance threshold range comprises:
And carrying out hierarchical early warning based on the position of the disturbance degree of the aquifer in the disturbance threshold range, wherein the disturbance threshold range comprises at least two stage ranges, the position of the disturbance degree of the aquifer in the disturbance threshold range refers to the stage range corresponding to the disturbance degree of the aquifer, and the hierarchical early warning refers to early warning with different degrees on the disturbance degree of the aquifer corresponding to different stage ranges.
10. A liquid level change warning system, comprising:
the data acquisition module is used for acquiring a water level monitoring data set of the water layer in a preset time period;
the index operation module is used for carrying out monitoring index operation on the water level monitoring data in the water level monitoring data set based on at least one preset monitoring index to obtain a monitoring index data sequence corresponding to the monitoring index;
the dynamic weight acquisition module is used for acquiring the entropy value of each monitoring index data sequence and determining the dynamic weight corresponding to each monitoring index based on the entropy value;
the disturbance degree determining module is used for determining the disturbance degree of the aquifer at the target time based on the monitoring index data sequence, the dynamic weight and the preset static weight corresponding to each monitoring index;
And the early warning module is used for carrying out liquid level change early warning based on the disturbance degree of the aquifer and a preset disturbance threshold range.
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