CN112380249A - Coal face period pressure analysis method and device and electronic equipment - Google Patents

Coal face period pressure analysis method and device and electronic equipment Download PDF

Info

Publication number
CN112380249A
CN112380249A CN202011332165.0A CN202011332165A CN112380249A CN 112380249 A CN112380249 A CN 112380249A CN 202011332165 A CN202011332165 A CN 202011332165A CN 112380249 A CN112380249 A CN 112380249A
Authority
CN
China
Prior art keywords
pressure
value
values
maximum
vector
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011332165.0A
Other languages
Chinese (zh)
Other versions
CN112380249B (en
Inventor
连小勇
李军
陈勇升
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China University of Mining and Technology Beijing CUMTB
Original Assignee
China University of Mining and Technology Beijing CUMTB
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China University of Mining and Technology Beijing CUMTB filed Critical China University of Mining and Technology Beijing CUMTB
Priority to CN202011332165.0A priority Critical patent/CN112380249B/en
Publication of CN112380249A publication Critical patent/CN112380249A/en
Application granted granted Critical
Publication of CN112380249B publication Critical patent/CN112380249B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22Indexing; Data structures therefor; Storage structures
    • G06F16/2228Indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23Updating

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Measuring Fluid Pressure (AREA)

Abstract

The embodiment of the invention discloses a method and a device for analyzing periodic incoming pressure of a coal face and electronic equipment, relates to the technical field of large data processing of coal mine systems, and can enable an analysis result to be closer to the actual field. The method comprises the following steps: acquiring a pressure value collected by a target bracket in a sampling time period; constructing a first discrete data sequence by the pressure values according to an acquisition time sequence; obtaining maxima in the first discrete data sequence; constructing a maximum value set according to the maximum value and the sequence number of the maximum value; for each maximum in the set of maximum values, performing the following: acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value; judging whether the maximum value is larger than all the other maximum values; if yes, taking the maximum value as an incoming pressure peak value; and calculating the periodic pressure law of the coal face according to the pressure peak value and the acquisition time point of the pressure peak value.

Description

Coal face period pressure analysis method and device and electronic equipment
Technical Field
The invention relates to the technical field of big data processing of coal mine systems, in particular to a method and a device for analyzing periodic incoming pressure of a coal face and electronic equipment.
Background
At present, the coal mining working face in China is changed from automation to intelligence, the intelligence mark is that equipment has the capabilities of self-sensing, self-correction and self-decision, intelligent equipment intelligently depends on the sensing and analysis of the environment, intelligent analysis is the basis of equipment intelligence, the intelligent working face has mass monitoring data, and bracket monitoring data are in the order of millions.
Scholars at home and abroad make a great deal of research on the aspects of analysis of mass mine pressure monitoring data and three-dimensional visual display of the data, and elaborate on the interaction relationship between the performance of the hydraulic support and the surrounding rock: the method comprises the steps of establishing a support and roof state perception model based on massive mine pressure monitoring data, indicating that rated working resistance cannot be used as the only index for evaluating the performance of a support; the Wang national method and the like describe the technical connotation of coal mine intellectualization, and propose to establish a big data processing center of an intelligent coal mine system, carry out intelligent analysis on monitoring information and realize the self-adaptive adjustment of a support to surrounding rocks by intelligent decision information through a hydraulic electro-hydraulic control system; zhaoyanxin and the like establish mine pressure prediction analysis and model generalization on a large mining height working face by using a long-short memory network (LSTM) deep learning method and integrate to form a mine pressure analysis and early warning system; a longwall working face rock stratum control and monitoring system (LoSCoMS) developed by the university of Alabama, USA can record the bracket pressure data of each working cycle, and the AI technology is utilized to analyze the abnormal roof pressure and predict the periodic incoming pressure in real time; trueman et al developed a longwall face vision analysis system (LVA) and studied the interaction between the stent and the surrounding rock using time-weighted average working resistance and other indicators.
In the aspect of a periodic incoming pressure analysis algorithm of a working face, the existing research results always stay in the method for analyzing the incoming pressure characteristics and the incoming pressure rules of the working face by utilizing the support load parameters such as time-weighted average working resistance, end resistance and the like, the analysis of the average working resistance and the end resistance by independently depending on the time-weighted average working resistance has disadvantages, the periodic incoming pressure intensity extracted in the analysis process is inconsistent with the actual incoming pressure intensity of the field, and the problem that the analysis result has larger deviation with the actual field is caused.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and an electronic device for analyzing a periodic pressure of a coal face, which can pick up an actual pressure during a periodic pressure process, and analyze a periodic pressure law of the coal face by using the actual pressure, so that an analysis result is closer to a field reality, and an influence on processing of original data is reduced.
In a first aspect, an embodiment of the present invention provides a coal face period pressure analysis method, which includes acquiring pressure values acquired by a target support within a sampling time period, where the number of the pressure values is at least two, and each pressure value corresponds to an acquisition time point; constructing a first discrete data sequence by the pressure values according to an acquisition time sequence; obtaining maxima in the first discrete data sequence; constructing a maximum value set according to the maximum values and the sequence numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one sequence number; for each maximum in the set of maximum values, performing the following: acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value; judging whether the maximum value is larger than all the other maximum values; if yes, taking the maximum value as an incoming pressure peak value; and calculating the periodic pressure law of the coal face according to the pressure peak value and the acquisition time point of the pressure peak value.
Optionally, the coal face period pressure law comprises pressure intensity and pressure period; calculating a periodic incoming pressure rule of the coal face according to the incoming pressure peak value and the acquisition time point of the incoming pressure peak value; the method comprises the following steps: calculating the average value of each pressure incoming peak value, and taking the average value as the pressure incoming intensity of the coal face; according to the collection time point of the pressure peak value, calculating the average time interval between adjacent pressure peak values in the collection time, and taking the average time interval as the pressure cycle of the coal face.
Optionally, before acquiring other maximum values in the maximum value set, where an absolute value of a difference between sequence numbers of the maximum values and sequence numbers of the maximum values is smaller than a preset value, the method further includes: calculating the time weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value; obtaining the estimated pressure-coming period of the coal face according to the time-weighted average working resistance of the target support; and taking half of the data volume of the target bracket collected in the estimated pressing period time length as the preset value.
Optionally, the pressure values are used for constructing a first discrete data sequence according to an acquisition time sequence, and a maximum value in the first discrete data sequence is obtained; the method comprises the following steps: constructing a one-dimensional vector X by the pressure values according to an acquisition time sequence; calculating a first-order difference of the one-dimensional vector X to obtain a first-order difference vector delta X; calculating an algebraic sign of each element in the first-order difference vector delta X according to a sign function; replacing elements corresponding to the algebraic signs in the first-order difference vectors with the algebraic signs to form vectors T; for each element in the vector T, performing the following operations: judging whether the ith element (i belongs to [1, m ], wherein m is the number of elements in the vector T) is equal to 0; if yes, judging whether i is equal to m; if i is m, replacing the ith element with 1 to generate an updated vector T; if i is not equal to m, judging whether the (i +1) th element is greater than or equal to 0; if the (i +1) th element is greater than or equal to 0, replacing the (i) th element with 1 to generate an updated vector T; if the (i +1) th element is smaller than 0, replacing the (i) th element with-1 to generate an updated vector T; performing first-order difference operation on the updated vector T to obtain a vector R; acquiring index values of elements with a median value of-2 in the vector R, wherein the number of the index values is at least two; taking the sum of the index value and 1 as a target index value, and searching a pressure value taking the target index value as an index in the one-dimensional vector X; and taking the searched pressure value as a maximum value.
Optionally, calculating a coal face periodic incoming pressure rule according to the incoming pressure peak value and the collection time point of the incoming pressure peak value; the method comprises the following steps: and calculating the periodic incoming pressure law of the coal face according to the incoming pressure peak value larger than the pressure threshold value and the acquisition time point of the incoming pressure peak value larger than the pressure threshold value.
In a second aspect, an embodiment of the present invention provides a coal face cycle pressure analysis device, including:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring pressure values acquired by a target bracket in a sampling time period, the number of the pressure values is at least two, and each pressure value corresponds to an acquisition time point;
the first construction unit is used for constructing a first discrete data sequence by the pressure values according to an acquisition time sequence;
a second acquisition unit configured to acquire a maximum value in the first discrete data sequence;
the second constructing unit is used for constructing a maximum value set according to the maximum values and the serial numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one serial number;
a third obtaining unit, configured to perform the following operations for each maximum value in the set of maximum values:
acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value;
judging whether the maximum value is larger than all the other maximum values;
if yes, taking the maximum value as an incoming pressure peak value;
and the first calculating unit is used for calculating the periodic incoming pressure rule of the coal face according to the incoming pressure peak value and the acquisition time point of the incoming pressure peak value.
Optionally, the coal face period pressure law comprises pressure intensity and pressure period; the first computing unit is specifically configured to:
calculating the average value of each pressure incoming peak value, and taking the average value as the pressure incoming intensity of the coal face;
according to the collection time point of the pressure peak value, calculating the average time interval between adjacent pressure peak values in the collection time, and taking the average time interval as the pressure cycle of the coal face.
Optionally, the apparatus further includes a second calculating unit, where the second calculating unit is configured to:
calculating the time weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value;
obtaining the estimated pressure-coming period of the coal face according to the time-weighted average working resistance of the target support;
and taking half of the data volume of the target bracket collected in the estimated pressing period time length as the preset value.
Optionally, the first constructing unit is specifically configured to construct a one-dimensional vector X from the pressure values according to an acquisition time sequence;
the second obtaining unit is specifically configured to:
calculating a first-order difference of the one-dimensional vector X to obtain a first-order difference vector delta X;
calculating an algebraic sign of each element in the first-order difference vector delta X according to a sign function;
replacing elements corresponding to the algebraic signs in the first-order difference vectors with the algebraic signs to form vectors T;
for each element in the vector T, performing the following operations:
judging whether the ith element (i belongs to [1, m ], wherein m is the number of elements in the vector T) is equal to 0;
if yes, judging whether i is equal to m;
if i is m, replacing the ith element with 1 to generate an updated vector T;
if i is not equal to m, judging whether the (i +1) th element is greater than or equal to 0;
if the (i +1) th element is greater than or equal to 0, replacing the (i) th element with 1 to generate an updated vector T;
if the (i +1) th element is smaller than 0, replacing the (i) th element with-1 to generate an updated vector T;
performing first-order difference operation on the updated vector T to obtain a vector R;
acquiring index values of elements with a median value of-2 in the vector R, wherein the number of the index values is at least two;
taking the sum of the index value and 1 as a target index value, and searching a pressure value taking the target index value as an index in the one-dimensional vector X;
and taking the searched pressure value as a maximum value.
Optionally, the first computing unit is specifically configured to:
and calculating the periodic incoming pressure law of the coal face according to the incoming pressure peak value larger than the pressure threshold value and the acquisition time point of the incoming pressure peak value larger than the pressure threshold value.
In a third aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, and is used for executing the coal face cycle pressure analysis method in any one of the foregoing embodiments.
In a fourth aspect, an embodiment of the present invention further provides a storage medium for storing an application program, where the application program is configured to execute the coal face cycle pressure analysis method according to any one of the foregoing embodiments.
In a fifth aspect, an embodiment of the present invention further provides an application program, configured to execute the coal face cycle incoming pressure analysis method according to any one of the foregoing embodiments.
According to the method, the device and the electronic equipment for analyzing the periodic incoming pressure of the coal face, provided by the embodiment of the invention, the pressure values acquired by a target support in a sampling time period are obtained, the number of the pressure values is at least two, and each pressure value corresponds to one acquisition time point; constructing a first discrete data sequence by the pressure values according to an acquisition time sequence; obtaining maxima in the first discrete data sequence; constructing a maximum value set according to the maximum values and the sequence numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one sequence number; for each maximum in the set of maximum values, performing the following: acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value; judging whether the maximum value is larger than all the other maximum values; if yes, taking the maximum value as an incoming pressure peak value; and calculating the periodic pressure law of the coal face according to the pressure peak value and the acquisition time point of the pressure peak value. Therefore, the actual incoming peak pressure value in the pressure value can be taken out, and the calculated periodic incoming peak pressure rule of the coal face is more practical according to the actual incoming peak pressure value and the acquisition time point of the incoming peak pressure value, so that the deviation between the analysis result and the field actual condition is reduced, and the influence on the processing of the original data is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a coal face cycle pressure analysis method according to an embodiment of the present invention;
FIG. 2 is a partial schematic flow chart of a coal face cycle weight analysis method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a coal face cycle pressure analysis device according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an embodiment of an electronic device according to the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, an embodiment of the present invention provides a coal face period pressure analysis method, including:
s101, acquiring pressure values acquired by a target support in a sampling time period, wherein the number of the pressure values is at least two, and each pressure value corresponds to an acquisition time point;
in the step, the target support can be any hydraulic support used for controlling the mine pressure of the coal face; any time period in the advancing process of the coal face can be used as the sampling time period, the time length of the sampling time period can be generally one month, and when the advancing speed of the face is high, the time length of the sampling time period can be correspondingly shortened.
And in the sampling time period, the target support periodically acquires the pressure of the top plate, and each acquired pressure value corresponds to an acquisition time point.
S102, constructing a first discrete data sequence by the pressure values according to an acquisition time sequence;
in this step, since each of the pressure values is discrete in acquisition time, a discrete data sequence can be constructed by arranging the pressure values according to an acquisition time sequence. The first discrete data sequence may be represented in the form of an array or a vector.
S103, acquiring a maximum value in the first discrete data sequence;
in this step, since the pressure values in the first discrete data sequence are arranged according to the acquisition time sequence, the periodic pressure applying rule of the working surface can be mastered by acquiring the maximum values in the first discrete data sequence and according to the distribution condition of the maximum values of the discrete data.
Optionally, the first discrete data sequence may be represented by a vector, and in this case, the pressure values are constructed into the first discrete data sequence according to an acquisition time sequence; obtaining maxima in the first discrete data sequence; the method can comprise the following steps:
s201, constructing a one-dimensional vector X by the pressure values according to an acquisition time sequence;
this step, X ═ X1,x2,……xn) Where n is equal to the total number of pressure values, element x1~xnRespectively for representing different pressure values; x is the number of1~xnThe corresponding acquisition time points are later and later.
S202, calculating a first-order difference of the one-dimensional vector X to obtain a first-order difference vector delta X;
in this step, the first order difference vector Δ X ═ Δ Xi]Wherein, Δ xi=xi+1-xi,i∈[1,n-1]。
S203, calculating an algebraic sign of each element in the first-order difference vector delta X according to a sign function;
this step, the symbolic function
Figure BDA0002796125080000071
In which i is an element of [1, n-1 ]]。
S204, replacing elements corresponding to the algebraic signs in the first-order difference vectors with the algebraic signs to form vectors T;
in this step, T ═ Sign (Δ x)i)]In the formula, i is belonged to [1, n-1 ]]。
S205, executing the following operations on each element in the vector T:
judging whether the ith element (i belongs to [1, m ], wherein m is the number of elements in the vector T) is equal to 0; in the step, m is n-1;
if yes, judging whether i is equal to m; this step is to determine whether the ith element is the last element in the vector T.
If i is m, replacing the ith element with 1 to generate an updated vector T; in this step, when the ith element is the last element in the vector T, the last element is replaced with 1.
If i is not equal to m, judging whether the (i +1) th element is greater than or equal to 0;
if the (i +1) th element is greater than or equal to 0, replacing the (i) th element with 1 to generate an updated vector T; in this step, if Sign (Δ x)i) 0, and Sign (Δ x)i+1) Greater than or equal to 0, Sign (Δ x)i)=1。
If the (i +1) th element is smaller than 0, replacing the (i) th element with-1 to generate an updated vector T; in this step, if Sign (Δ x)i) 0, and Sign (Δ x)i+1) < 0, then Sign (Δ x)i)=-1。
After the above transformation is performed on each element in the vector T in step S205, an updated vector T is obtained, and the updated vector T becomes a vector including only 1 and-1.
S206, performing first-order difference operation on the updated vector T to obtain a vector R;
in this step, R ═ Δ T (i) ═ T (i +1) -T (i) ·, where i ∈ [1, n-2 ].
Vector R is a vector that includes only 2, 0, and-2.
S207, obtaining index values of elements with a median value of-2 in the vector R, wherein the number of the index values is at least two;
in this step, if Δ t (i) is 2, xi+1A minimum value point of the one-dimensional vector X; if Δ t (i) ═ -2, then xi+1Is the maximum point of the one-dimensional vector X; since only the maximum value point needs to be extracted when the working face is periodically analyzed, only the value of the index i of Δ t (i) ═ 2 needs to be considered.
S208, taking the sum of the index value and 1 as a target index value, and searching a pressure value taking the target index value as an index in the one-dimensional vector X;
and S209, taking the searched pressure value as a maximum value.
In the step, the sum i +1 of index values i and 1 is taken as a target index value to be brought into an original one-dimensional vector X, wherein all X in the original one-dimensional vector Xi+1The distribution is the period pressureThe maximum value distribution of.
In this embodiment, inspired by the second judgment rule of the extreme point of the continuous function, discrete data are vectorized according to a time sequence, a first derivative and a second derivative of the discrete data are obtained, and a distribution condition of the maximum value of the discrete data is calculated by using a calculation result, so that a periodic pressure coming rule of a working face is mastered. (second judgment rule for extreme points of continuous function: if there is a second derivative in function f (x), x0Is the stable point of the function f (x), i.e. f' (x)0) 0, and f ″ (x)0) Not equal to 0, then when f ″ (x)0)>At 0, x0Is the minimum point of the function; when f ″ (x)0)<At 0, x0Is the maximum point of the function. )
In practical situations, the P-t curve (pressure value-time curve) is jagged, many of the maximum values are not required values, and stray and error data therein needs to be shielded, that is, the maximum value data can be used only when a certain condition is met, so that stray and error maximum value data is shielded through the following steps.
S104, constructing a maximum value set according to the maximum values and the sequence numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one sequence number;
in the step, in the maximum value set, the maximum values and the serial numbers are mapped one by one.
S105, executing the following operation on each maximum value in the maximum value set:
acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value;
in this step, for each maximum value in the maximum value set, partial data on the left and right sides of the maximum value is obtained. For example, when the sequence number of the maximum value is 500 and the preset value is 100, searching other maximum values with sequence numbers between 400 and 500 and other maximum values with sequence numbers between 500 and 600 in the maximum value set.
Judging whether the maximum value is larger than all the other maximum values;
if yes, taking the maximum value as an incoming pressure peak value;
in this embodiment, optionally, before obtaining other maximum values in the maximum value set, where an absolute value of a difference between the sequence numbers of the maximum values and the sequence numbers of the maximum values is smaller than a preset value, the method may further include: calculating the time weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value; obtaining the estimated pressure-coming period of the coal face according to the time-weighted average working resistance of the target support; and taking half of the data volume of the target bracket collected in the estimated pressing period time length as the preset value.
The method for calculating the time-weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value and the method for obtaining the estimated pressure-incoming period of the coal face according to the time-weighted average working resistance of the target support belong to the prior art, and are already applied to analyzing the pressure-incoming characteristics and rules of the face by using the time-weighted average working resistance at present, so that the detailed description is omitted.
Since the working surface coming pressure period analyzed by the time-weighted average working resistance is closer to the actual coming pressure period, the preset value in the step S1051 may be determined with reference to the estimated coming pressure period, for example, half of the data volume collected by the target stent within the estimated coming pressure period time length may be used as the preset value, so that the step S1051 is equivalent to taking out all other maximum values in the estimated coming pressure period before the first half of the sampling time point of a certain maximum value and all other maximum values in the estimated coming pressure period after the second half of the sampling time point, and determining whether the certain maximum value is greater than all the other maximum values in the step 1052, and if so, determining the certain maximum value as the maximum value in the estimated coming pressure period, that is, the actual coming pressure peak value. According to the method, all the peak-to-peak pressure values in the maximum value set can be taken out.
For example, the predetermined value is L, and for the original one-dimensional vector X, when X isiWhen the pressure is at the peak value, x isiIt should satisfy:
when L is 1, xi>[xi-1,xi+1];
When L is 2, xi>[xi-2,xi-1,xi+1,xi+2];
……
When L is n, xi>[xi-n,……,xi-1,xi+1,……,xi+n];
Wherein i-n is in the form of [1, n ] and i + n is in the form of [1, n ].
The preset value L may be referred to as a "polar distance" of discrete data, and in an application program, when a peak value is pressed by using the above formula, the setting of the polar distance improves the computer calculation efficiency, but this also brings about an inevitable problem that a maximum value (head data) with a sequence number before and a maximum value (tail data) with a sequence number after do not participate in the calculation due to the existence of the polar distance. In the process of periodic incoming pressure analysis, only the position of the incoming pressure peak value is concerned, so that the maximum value of the data in the polar distance range of the head and the tail of the data is found, whether the maximum value is the incoming pressure peak value or not is checked (the maximum value can be compared with other incoming pressure peak values, if the maximum value is within 80-120% of other incoming pressure peak values, the maximum value can be considered as the incoming pressure peak value), and if the verification is successful, the peak value distribution is added to form complete discrete data peak value distribution for periodic incoming pressure analysis of the working face.
It should be understood that the preset value may also be 3/8-5/8 of the data volume collected by the target stent within the estimated pressing period time length, which is not limited in this embodiment; of course, the preset value may also be determined according to the mining speed of the working face, for example, the data volume recorded by the target stent every day is selected as the preset value, and if the working face advancing speed is fast, and the time weighted average working resistance trend of 12 hours or 8 hours may represent the periodic pressure trend of the working face, the preset value may be reduced to 0.5 or 0.3 times of the data volume of the day.
And S106, calculating a periodic incoming pressure rule of the coal face according to the incoming pressure peak value and the acquisition time point of the incoming pressure peak value.
In the step, the periodic pressure law of the coal face can comprise pressure intensity and pressure period; at this time, calculating a periodic incoming pressure rule of the coal face according to the incoming pressure peak value and the acquisition time point of the incoming pressure peak value; the method can comprise the following steps:
s1061, calculating an average value of the pressure peak values, and taking the average value as the pressure intensity of the coal face;
in the step, each incoming pressure peak value is actually acquired data on site and is not processed by other data, so that the average value of each incoming pressure peak value is used as the incoming pressure intensity of the coal face and is closer to the actual incoming pressure intensity of the coal face, and the deviation between an analysis result and the actual on site can be reduced.
S1062, calculating an average time interval between adjacent peak incoming pressure values in the acquisition time according to the acquisition time points of the peak incoming pressure values, and taking the average time interval as an incoming pressure period of the coal face.
In this step, for the same reason, each incoming peak pressure value is data actually acquired on the spot, and the acquisition time point of each incoming peak pressure value is an actual acquisition time point, so that the average time interval between adjacent incoming peak pressure values is used as the incoming pressure period of the coal face, which is closer to the actual incoming pressure period of the coal face, and the deviation between the analysis result and the actual on the spot can be reduced.
According to the coal face period pressure analysis method provided by the embodiment of the invention, pressure values acquired by a target support in a sampling time period are acquired, the number of the pressure values is at least two, and each pressure value corresponds to one acquisition time point; constructing a first discrete data sequence by the pressure values according to an acquisition time sequence; obtaining maxima in the first discrete data sequence; constructing a maximum value set according to the maximum values and the sequence numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one sequence number; for each maximum in the set of maximum values, performing the following: acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value; judging whether the maximum value is larger than all the other maximum values; if yes, taking the maximum value as an incoming pressure peak value; and calculating the periodic pressure law of the coal face according to the pressure peak value and the acquisition time point of the pressure peak value. Therefore, the actual incoming peak pressure value in the pressure value can be taken out, and the calculated periodic incoming peak pressure rule of the coal face is more practical according to the actual incoming peak pressure value and the acquisition time point of the incoming peak pressure value, so that the deviation between the analysis result and the field actual condition is reduced, and the influence on the processing of the original data is reduced.
As an optional implementation manner of any one of the above embodiments, the coal face periodic incoming pressure law is calculated according to the incoming pressure peak value and the collection time point of the incoming pressure peak value; the method can comprise the following steps:
and calculating the periodic incoming pressure law of the coal face according to the incoming pressure peak value larger than the pressure threshold value and the acquisition time point of the incoming pressure peak value larger than the pressure threshold value.
In this embodiment, if the pressure value data acquired by the target support is small, for example, only 10MPa, and the pressure of the emulsion pump station is about 30MPa, part of the coal mines are equipped with an advanced electric hydraulic control system, the system has an automatic liquid supplementing function, and the small pressure value data is caused by automatic liquid supplementing or periodic variation of the roof pressure, so that contradiction and paradox exist.
In order to eliminate the ambiguous state, the data of the partial pressure value needs to be removed, and the periodic pressure condition of the top plate is analyzed by data with the pressure value of more than 24MPa (80% of the pressure of an emulsion pump station); i.e. the pressure threshold may be 24 MPa.
For the coal face period pressure analysis method in any of the above embodiments, an Artificial Intelligence (AI) program may be designed using a C # language, discrete data peak distributions may be autonomously extracted, periodic pressure is autonomously identified instead of manually, and the periodic pressure within a sampling time period is counted. In addition, the AI program can be used for analyzing the periodic pressure dynamic load coefficient, and finally, the information related to the periodic pressure of the working face is given.
Example two
As shown in fig. 3, an embodiment of the present invention provides a coal face cycle pressure analysis apparatus, including:
the first obtaining unit 21 is configured to obtain pressure values collected by a target stent in a sampling time period, where the number of the pressure values is at least two, and each pressure value corresponds to a collection time point;
the first construction unit 22 is configured to construct a first discrete data sequence from the pressure values according to an acquisition time sequence;
a second obtaining unit 23, configured to obtain a maximum value in the first discrete data sequence;
a second constructing unit 24, configured to construct a maximum value set according to the maximum values and the sequence numbers of the maximum values in the first discrete data sequence, where in the maximum value set, each maximum value corresponds to one sequence number;
a third obtaining unit 25, configured to perform the following operations for each maximum value in the maximum value set:
acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value;
judging whether the maximum value is larger than all the other maximum values;
if yes, taking the maximum value as an incoming pressure peak value;
the first calculating unit 26 is configured to calculate a coal face period incoming pressure law according to the incoming pressure peak value and the collection time point of the incoming pressure peak value.
Optionally, the coal face period pressure law comprises pressure intensity and pressure period; the first computing unit is specifically configured to:
calculating the average value of each pressure incoming peak value, and taking the average value as the pressure incoming intensity of the coal face;
according to the collection time point of the pressure peak value, calculating the average time interval between adjacent pressure peak values in the collection time, and taking the average time interval as the pressure cycle of the coal face.
Optionally, the apparatus further includes a second calculating unit, where the second calculating unit is configured to:
calculating the time weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value;
obtaining the estimated pressure-coming period of the coal face according to the time-weighted average working resistance of the target support;
and taking half of the data volume of the target bracket collected in the estimated pressing period time length as the preset value.
Optionally, the first constructing unit is specifically configured to construct a one-dimensional vector X from the pressure values according to an acquisition time sequence;
the second obtaining unit is specifically configured to:
calculating a first-order difference of the one-dimensional vector X to obtain a first-order difference vector delta X;
calculating an algebraic sign of each element in the first-order difference vector delta X according to a sign function;
replacing elements corresponding to the algebraic signs in the first-order difference vectors with the algebraic signs to form vectors T;
for each element in the vector T, performing the following operations:
judging whether the ith element (i belongs to [1, m ], wherein m is the number of elements in the vector T) is equal to 0;
if yes, judging whether i is equal to m;
if i is m, replacing the ith element with 1 to generate an updated vector T;
if i is not equal to m, judging whether the (i +1) th element is greater than or equal to 0;
if the (i +1) th element is greater than or equal to 0, replacing the (i) th element with 1 to generate an updated vector T;
if the (i +1) th element is smaller than 0, replacing the (i) th element with-1 to generate an updated vector T;
performing first-order difference operation on the updated vector T to obtain a vector R;
acquiring index values of elements with a median value of-2 in the vector R, wherein the number of the index values is at least two;
taking the sum of the index value and 1 as a target index value, and searching a pressure value taking the target index value as an index in the one-dimensional vector X;
and taking the searched pressure value as a maximum value.
Optionally, the first computing unit is specifically configured to:
and calculating the periodic incoming pressure law of the coal face according to the incoming pressure peak value larger than the pressure threshold value and the acquisition time point of the incoming pressure peak value larger than the pressure threshold value.
The apparatus of this embodiment may be used to implement the technical solution of the method embodiment shown in fig. 1, and the implementation principle and the technical effect are similar, which are not described herein again.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof.
In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
The embodiment of the invention also provides electronic equipment, and the electronic equipment comprises the device in any one of the embodiments.
Fig. 4 is a schematic structural diagram of an embodiment of an electronic device of the present invention, which can implement the processes of the embodiments shown in fig. 1-2 of the present invention, and as shown in fig. 4, the electronic device may include: the device comprises a shell 31, a processor 32, a memory 33, a circuit board 34 and a power circuit 35, wherein the circuit board 34 is arranged inside a space enclosed by the shell 31, and the processor 32 and the memory 33 are arranged on the circuit board 34; a power supply circuit 35 for supplying power to each circuit or device of the electronic apparatus; the memory 33 is used for storing executable program codes; the processor 32 executes a program corresponding to the executable program code by reading the executable program code stored in the memory 33, so as to execute the coal face cycle pressure analysis method according to any one of the above embodiments.
The specific execution process of the above steps by the processor 32 and the steps further executed by the processor 32 by running the executable program code may refer to the description of the embodiment shown in fig. 1-2 of the present invention, and are not described herein again.
The electronic device exists in a variety of forms, including but not limited to:
(1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include: smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads.
(3) A portable entertainment device: such devices can display and play multimedia content. This type of device comprises: audio, video players (e.g., ipods), handheld game consoles, electronic books, and smart toys and portable car navigation devices.
(4) A server: the device for providing the computing service comprises a processor, a hard disk, a memory, a system bus and the like, and the server is similar to a general computer architecture, but has higher requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because of the need of providing high-reliability service.
(5) And other electronic equipment with data interaction function.
The embodiment of the invention also provides a storage medium for storing an application program, wherein the application program is used for executing the coal face period pressure analysis method provided by the embodiment of the invention.
The embodiment of the invention also provides an application program for executing the coal face period pressure analysis method provided by the embodiment of the invention.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
For convenience of description, the above devices are described separately in terms of functional division into various units/modules. Of course, the functionality of the units/modules may be implemented in one or more software and/or hardware implementations of the invention.
The above description of the embodiments will make clear to those skilled in the art that the present invention can be implemented
The invention can be implemented by means of software plus a necessary general-purpose hardware platform. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A coal face period pressure analysis method is characterized by comprising the following steps:
acquiring pressure values acquired by a target bracket in a sampling time period, wherein the number of the pressure values is at least two, and each pressure value corresponds to an acquisition time point;
constructing a first discrete data sequence by the pressure values according to an acquisition time sequence;
obtaining maxima in the first discrete data sequence;
constructing a maximum value set according to the maximum values and the sequence numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one sequence number;
for each maximum in the set of maximum values, performing the following:
acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value;
judging whether the maximum value is larger than all the other maximum values;
if yes, taking the maximum value as an incoming pressure peak value;
and calculating the periodic pressure law of the coal face according to the pressure peak value and the acquisition time point of the pressure peak value.
2. The method of claim 1, wherein the coal face cycle approach pressure law includes an approach pressure intensity and an approach pressure cycle; calculating a periodic incoming pressure rule of the coal face according to the incoming pressure peak value and the acquisition time point of the incoming pressure peak value; the method comprises the following steps:
calculating the average value of each pressure incoming peak value, and taking the average value as the pressure incoming intensity of the coal face;
according to the collection time point of the pressure peak value, calculating the average time interval between adjacent pressure peak values in the collection time, and taking the average time interval as the pressure cycle of the coal face.
3. The method of claim 1, wherein before obtaining other maxima in the set of maxima whose absolute value of the difference between the sequence numbers of the maxima and the sequence number of the maxima is less than a preset value, the method further comprises:
calculating the time weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value;
obtaining the estimated pressure-coming period of the coal face according to the time-weighted average working resistance of the target support;
and taking half of the data volume of the target bracket collected in the estimated pressing period time length as the preset value.
4. The method of claim 1, wherein the pressure values are constructed into a first discrete data sequence according to an acquisition time sequence, and maxima in the first discrete data sequence are obtained; the method comprises the following steps:
constructing a one-dimensional vector X by the pressure values according to an acquisition time sequence;
calculating a first-order difference of the one-dimensional vector X to obtain a first-order difference vector delta X;
calculating an algebraic sign of each element in the first-order difference vector delta X according to a sign function;
replacing elements corresponding to the algebraic signs in the first-order difference vectors with the algebraic signs to form vectors T;
for each element in the vector T, performing the following operations:
judging whether the ith element (i belongs to [1, m ], wherein m is the number of elements in the vector T) is equal to 0;
if yes, judging whether i is equal to m;
if i is m, replacing the ith element with 1 to generate an updated vector T;
if i is not equal to m, judging whether the (i +1) th element is greater than or equal to 0;
if the (i +1) th element is greater than or equal to 0, replacing the (i) th element with 1 to generate an updated vector T;
if the (i +1) th element is smaller than 0, replacing the (i) th element with-1 to generate an updated vector T;
performing first-order difference operation on the updated vector T to obtain a vector R;
acquiring index values of elements with a median value of-2 in the vector R, wherein the number of the index values is at least two;
taking the sum of the index value and 1 as a target index value, and searching a pressure value taking the target index value as an index in the one-dimensional vector X;
and taking the searched pressure value as a maximum value.
5. The method according to claim 1, characterized in that the coal face periodic pressure law is calculated according to the pressure peak value and the collection time point of the pressure peak value; the method comprises the following steps:
and calculating the periodic incoming pressure law of the coal face according to the incoming pressure peak value larger than the pressure threshold value and the acquisition time point of the incoming pressure peak value larger than the pressure threshold value.
6. A coal face cycle pressure analysis device is characterized by comprising:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring pressure values acquired by a target bracket in a sampling time period, the number of the pressure values is at least two, and each pressure value corresponds to an acquisition time point;
the first construction unit is used for constructing a first discrete data sequence by the pressure values according to an acquisition time sequence;
a second acquisition unit configured to acquire a maximum value in the first discrete data sequence;
the second constructing unit is used for constructing a maximum value set according to the maximum values and the serial numbers of the maximum values in the first discrete data sequence, wherein each maximum value in the maximum value set corresponds to one serial number;
a third obtaining unit, configured to perform the following operations for each maximum value in the set of maximum values:
acquiring other maximum values of which the absolute value of the difference between the sequence number in the maximum value set and the sequence number of the maximum value is smaller than a preset value;
judging whether the maximum value is larger than all the other maximum values;
if yes, taking the maximum value as an incoming pressure peak value;
and the first calculating unit is used for calculating the periodic incoming pressure rule of the coal face according to the incoming pressure peak value and the acquisition time point of the incoming pressure peak value.
7. The apparatus of claim 6, wherein the coal face cycle approach pressure law comprises an approach pressure intensity and an approach pressure cycle; the first computing unit is specifically configured to:
calculating the average value of each pressure incoming peak value, and taking the average value as the pressure incoming intensity of the coal face;
according to the collection time point of the pressure peak value, calculating the average time interval between adjacent pressure peak values in the collection time, and taking the average time interval as the pressure cycle of the coal face.
8. The apparatus of claim 6, further comprising a second computing unit to:
calculating the time weighted average working resistance of the target support according to the pressure value and the sampling time point of the pressure value;
obtaining the estimated pressure-coming period of the coal face according to the time-weighted average working resistance of the target support;
and taking half of the data volume of the target bracket collected in the estimated pressing period time length as the preset value.
9. The device according to claim 6, wherein the first constructing unit is specifically configured to construct a one-dimensional vector X from the pressure values according to an acquisition time sequence;
the second obtaining unit is specifically configured to:
calculating a first-order difference of the one-dimensional vector X to obtain a first-order difference vector delta X;
calculating an algebraic sign of each element in the first-order difference vector delta X according to a sign function;
replacing elements corresponding to the algebraic signs in the first-order difference vectors with the algebraic signs to form vectors T;
for each element in the vector T, performing the following operations:
judging whether the ith element (i belongs to [1, m ], wherein m is the number of elements in the vector T) is equal to 0;
if yes, judging whether i is equal to m;
if i is m, replacing the ith element with 1 to generate an updated vector T;
if i is not equal to m, judging whether the (i +1) th element is greater than or equal to 0;
if the (i +1) th element is greater than or equal to 0, replacing the (i) th element with 1 to generate an updated vector T;
if the (i +1) th element is smaller than 0, replacing the (i) th element with-1 to generate an updated vector T;
performing first-order difference operation on the updated vector T to obtain a vector R;
acquiring index values of elements with a median value of-2 in the vector R, wherein the number of the index values is at least two;
taking the sum of the index value and 1 as a target index value, and searching a pressure value taking the target index value as an index in the one-dimensional vector X;
and taking the searched pressure value as a maximum value.
10. The apparatus according to claim 6, wherein the first computing unit is specifically configured to:
and calculating the periodic incoming pressure law of the coal face according to the incoming pressure peak value larger than the pressure threshold value and the acquisition time point of the incoming pressure peak value larger than the pressure threshold value.
CN202011332165.0A 2020-11-24 2020-11-24 Coal face period pressure analysis method and device and electronic equipment Active CN112380249B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011332165.0A CN112380249B (en) 2020-11-24 2020-11-24 Coal face period pressure analysis method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011332165.0A CN112380249B (en) 2020-11-24 2020-11-24 Coal face period pressure analysis method and device and electronic equipment

Publications (2)

Publication Number Publication Date
CN112380249A true CN112380249A (en) 2021-02-19
CN112380249B CN112380249B (en) 2023-05-30

Family

ID=74588267

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011332165.0A Active CN112380249B (en) 2020-11-24 2020-11-24 Coal face period pressure analysis method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN112380249B (en)

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4135873A1 (en) * 1991-10-26 1993-04-29 Brose Fahrzeugteile Detecting position and dynamic parameters e.g. of commutator motor or hydraulic pump - evaluating e.g. ripple current superimposed on periodicity signal which characterises system
WO1999007807A1 (en) * 1997-08-06 1999-02-18 Europäisches Entwicklungszentrum Für Kokereitechnik Gmbh Single-chamber coking system
US20050273285A1 (en) * 2004-05-25 2005-12-08 Dan Onu Period determination of a periodic NRZ signal
CN101325431A (en) * 2008-06-10 2008-12-17 中国科学技术大学 Method for interception of impulse radio signal based on amplitude statistics
CN103577823A (en) * 2012-08-02 2014-02-12 比亚迪股份有限公司 Method and device for achieving bar code binaryzation
US9690930B1 (en) * 2014-02-07 2017-06-27 EMC IP Holding Company LLC Detecting periodicity in a stream of events
CN106997334A (en) * 2017-04-11 2017-08-01 辽宁工程技术大学 One kind is based on time-weighted mine pressure data handling system and method
US20180251239A1 (en) * 2015-07-28 2018-09-06 Airbus Defence And Space Sas Method for planning the acquisition of images of areas of the earth by a spacecraft
CN108829883A (en) * 2018-06-27 2018-11-16 上海众人网络安全技术有限公司 Periodicity extraction method, apparatus, equipment and the storage medium of data sequence
CN110991376A (en) * 2019-12-10 2020-04-10 上海欧秒电力监测设备有限公司 Feature extraction method for partial discharge type recognition
CN111678683A (en) * 2020-06-08 2020-09-18 中国矿业大学 Method and device for predicting roof pressure of intelligent fully mechanized coal mining face of coal mine

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4135873A1 (en) * 1991-10-26 1993-04-29 Brose Fahrzeugteile Detecting position and dynamic parameters e.g. of commutator motor or hydraulic pump - evaluating e.g. ripple current superimposed on periodicity signal which characterises system
WO1999007807A1 (en) * 1997-08-06 1999-02-18 Europäisches Entwicklungszentrum Für Kokereitechnik Gmbh Single-chamber coking system
US20050273285A1 (en) * 2004-05-25 2005-12-08 Dan Onu Period determination of a periodic NRZ signal
CN101325431A (en) * 2008-06-10 2008-12-17 中国科学技术大学 Method for interception of impulse radio signal based on amplitude statistics
CN103577823A (en) * 2012-08-02 2014-02-12 比亚迪股份有限公司 Method and device for achieving bar code binaryzation
US9690930B1 (en) * 2014-02-07 2017-06-27 EMC IP Holding Company LLC Detecting periodicity in a stream of events
US20180251239A1 (en) * 2015-07-28 2018-09-06 Airbus Defence And Space Sas Method for planning the acquisition of images of areas of the earth by a spacecraft
CN106997334A (en) * 2017-04-11 2017-08-01 辽宁工程技术大学 One kind is based on time-weighted mine pressure data handling system and method
CN108829883A (en) * 2018-06-27 2018-11-16 上海众人网络安全技术有限公司 Periodicity extraction method, apparatus, equipment and the storage medium of data sequence
CN110991376A (en) * 2019-12-10 2020-04-10 上海欧秒电力监测设备有限公司 Feature extraction method for partial discharge type recognition
CN111678683A (en) * 2020-06-08 2020-09-18 中国矿业大学 Method and device for predicting roof pressure of intelligent fully mechanized coal mining face of coal mine

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
YONG ZHANG等: "The Computer Bracket Pressure Monitor System of Fully Mechanized Coalface in Coal Mine Based on CAN Bus", EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING (SNPD 2007) *
刘洪涛等: "稳定岩层层位与冒顶隐患级别关系", 辽宁工程技术大学学报(自然科学版) *
张冰: "智能井井下数据采集与处理分析技术研究", 中国博士学位论文全文数据库工程科技Ⅰ辑 *
李正国等: "基于时序植被指数的华北地区作物物候期/种植制度的时空格局特征", 生态学报 *
王红瑞;林欣;钱龙霞;张淑梅;: "基于异方差检验的水文过程隐含周期分析模型及其应用――Ⅰ:模型", 水利学报 *

Also Published As

Publication number Publication date
CN112380249B (en) 2023-05-30

Similar Documents

Publication Publication Date Title
CN109685246B (en) Environment data prediction method and device, storage medium and server
CN107642347B (en) Shale gas fracturing underground accident prediction and early warning method and device
CN104679818A (en) Video keyframe extracting method and video keyframe extracting system
CN103500516A (en) High-efficiency trace replay method and system based on electronic map
CN111832150B (en) Ore pressure prediction method and device and electronic equipment
CN108228832B (en) Time series data completion method based on distance matrix
CN109653779B (en) Dynamic prediction method for hydraulic support load in fully mechanized mining face coal mining cycle
CN116151043B (en) Pose inversion method and device for scraper conveyor
CN116257663A (en) Abnormality detection and association analysis method and related equipment for unmanned ground vehicle
CN116028798A (en) Water damage early warning data processing method, device, computer equipment and storage medium
CN108876009A (en) The determination of coal mining accident prediction model and monitoring method, storage medium and electronic equipment
CN114715145A (en) Trajectory prediction method, device and equipment and automatic driving vehicle
CN117057484B (en) Carbon emission prediction method and system for mine ecological restoration area
CN110674397A (en) Method, device, equipment and readable medium for training age point prediction model
CN112380249A (en) Coal face period pressure analysis method and device and electronic equipment
CN110852550B (en) Accident prevention method and device based on intelligent identification of coal mine hidden danger and storage medium
CN112347813B (en) Baseline detection method, equipment and storage medium for high signal-to-noise ratio time sequence
CN113010501B (en) Recovery ratio prediction model acquisition method, recovery ratio prediction method and product
CN112127877B (en) Method, device, equipment and storage medium for predicting dynamic reserve of oil well
CN112990631B (en) Method and device for evaluating seepage field and computer readable storage medium
CN112820111A (en) Abnormal vehicle identification method and device and electronic equipment
CN117574781B (en) Intelligent prediction method and system for security risk of surrounding rock of underground factory building of pumped storage power station
CN118071165B (en) Water affair data visualization realization method based on big data analysis and digital platform
CN115497266B (en) Safety early warning method and device for mining area underground reservoir dam body and safety early warning system
CN113408322B (en) Method and device for identifying sudden permeable scene in mine

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant