CN115270532B - Data processing method and system based on mine intellectualization - Google Patents
Data processing method and system based on mine intellectualization Download PDFInfo
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- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 206010063385 Intellectualisation Diseases 0.000 title claims abstract description 5
- 238000009423 ventilation Methods 0.000 claims abstract description 111
- 239000011159 matrix material Substances 0.000 claims abstract description 15
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- 238000012935 Averaging Methods 0.000 claims 1
- 238000004088 simulation Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 description 6
- 239000003245 coal Substances 0.000 description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 3
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- 239000000428 dust Substances 0.000 description 3
- 239000007789 gas Substances 0.000 description 3
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- 229910052760 oxygen Inorganic materials 0.000 description 3
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- E21—EARTH OR ROCK DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F1/00—Ventilation of mines or tunnels; Distribution of ventilating currents
- E21F1/10—Air doors
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- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
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Abstract
The invention provides a data processing method and a system based on mine intellectualization, which relate to the technical field of mine informatization, and comprise the steps of establishing a digital twin of a mine, establishing a ventilation door influence matrix, dividing the mine from each mine road bifurcation to obtain a plurality of sections of mine roads, obtaining data of an air sensor of each section of mine road, establishing a ventilation door influence equation, updating the digital twin according to real-time data of the ventilation door of the mine, obtaining an error rate of the digital twin model, calculating air data of an extension part according to the influence equation when the mine roads extend, adopting digital twin simulation to adjust the ventilation door which is not in fault when any ventilation door is in fault, determining an adjustment parameter, and adjusting the ventilation door of the mine according to the adjustment parameter of the ventilation door which is not in fault. Through the scheme, the problem that the ventilation door is not easy to adjust when in fault is solved.
Description
Technical Field
The invention relates to the technical field of mine informatization, in particular to a data processing method and system based on mine intellectualization.
Background
As an important ring of coal mine safety production, a mine ventilation system plays an extremely important role in the coal mine mining process, and the quality of the mine ventilation system not only influences the economic benefit of coal mine mining, but also directly influences the life safety of underground workers. The underground mining operation process is often accompanied by the harm of high gas and dust, the life safety of underground workers is seriously influenced, and the good and stable ventilation system is favorable for reducing the harm of toxic and harmful gas and dust and plays an important role in preventing underground fire to a certain extent.
Along with the development of information technology, more and more intelligent equipment carries out the coal industry, and in order to provide better ventilation environment, more and more mines have adopted intelligent equipment, for example increase all kinds of sensors in the mine, real time monitoring air quality in the pit carries out networking unified control to the ventilation door.
Since the mine contains a large amount of dust, water vapor and the like and the ventilation door needs to work for 24 hours, no damage to the ventilation door occurs. At present, when damage of the ventilation doors is detected, the air volume of the ventilation doors around a problem area is generally automatically increased, but due to excavation, diversion and the like of an underground hoistway, the route of the hoistway is changed frequently, and if the air volume of the ventilation doors around the problem area is simply increased, the effect of improving the air quality can not be achieved; even a reverse flow of air flow diversion due to hoistway variations may occur, which may in turn further exacerbate the problem by increasing the air volume of the vent doors around the problem area.
Disclosure of Invention
In order to solve the problem that reasonable adjustment is not easy to achieve when the ventilation door is damaged, the invention provides a data processing method and a data processing system based on mine intelligence.
In one aspect of the invention, a data processing method based on mine intelligence is provided, which is characterized by comprising the following steps: step S01, establishing a digital twin of the mine, wherein the digital twin at least comprises mine passage distribution of the mine, all air sensors in the mine passages and all ventilation doors in the mine passages; s02, sequentially opening each ventilation door of the mine with a first preset air quantity, closing other ventilation doors, and acquiring data of each air sensor when each ventilation door is opened to obtain a ventilation door influence matrix, wherein the data of the air sensors comprise wind direction and at least one item of air quality data; s03, segmenting the mine from the bifurcation of each mine to obtain multiple sections of mines, obtaining data of an air sensor of each section of mine according to the ventilation door influence matrix aiming at each section of mine, interpolating the data of the air sensor of each section of mine, and establishing a ventilation door influence equation for each mine according to an interpolation result; s04, initializing the digital twin according to the ventilation door influence equation, and updating the digital twin according to real-time data of a ventilation door of a mine; s05, acquiring an error rate of the digital twin model; step S06, updating the digital twin ore way distribution in real time according to the change of the ore way, and calculating air data of an extending part according to the influence equation when the ore way extends; and S07, when any ventilation door fails, adjusting the non-failed ventilation door by adopting the digital twin simulation, determining the adjustment parameters of the non-failed ventilation door when the air data of all positions in the mine are qualified, and adjusting the ventilation door of the mine according to the adjustment parameters of the non-failed ventilation door.
Further, the ventilation door influence matrix is:
wherein,
a matrix of the effects is represented which,
shows that the ith ventilation door is opened by first preset air volumeAnd when other vent valves are closed, the data of the jth air sensor.
Further, the ventilation door influence equation is as follows:
wherein,
indicating the distance of the kth mine from the starting point,
a fitting equation of the ith ventilation door is expressed,
representing the air quantity coefficient;
further, the specific calculation method of the error rate is as follows: and during the running of the mine tunnel and the digital twin model, acquiring real readings of the air sensor in real time, acquiring simulated readings of the position corresponding to the digital twin, and comparing the real readings with the simulated counts to acquire an error rate.
Further, a plurality of error rates of a plurality of time periods are acquired, and the plurality of error rates of the plurality of time periods are averaged to obtain a final error rate.
Further, an error rate is calculated for each respective section of the mine.
Further, when the mine shaft is extended, calculating air data of the extended portion according to the influence equation specifically includes: when the mine tunnel extends, adding a mine tunnel model of a corresponding extension section in the digital twin, determining the coordinates of the extension section, and substituting the coordinates of the extension section into the ventilation door influence equation to calculate the air data at each position in the extension section.
Further, the adjustment of the ventilation door without the fault by adopting the digital twin simulation is used for determining the adjustment parameters of the ventilation door without the fault when the air data at all positions in the mine are qualified, and the adjustment of the ventilation door of the mine according to the adjustment parameters of the ventilation door without the fault specifically comprises the following steps: firstly, synchronously closing a fault ventilation door in the digital twin; and adopting a preset step length to respectively adjust the air volume of other normal ventilation doors in the digital twin, calculating whether all points in the mine tunnel reach the preset air quality by using an influence equation, and adjusting the parameters of the ventilation doors in the digital twin system at the moment to the actual ventilation door parameters when all the points in the mine tunnel reach the preset air quality.
Further, an influence equation and an error rate of the model are used to calculate whether all points within the mine have reached a predetermined air quality.
In another aspect of the invention, there is provided a data processing system based on mine intelligence, the system comprising at least one processor that performs any of the aforementioned data processing methods based on mine intelligence.
According to the technical scheme, the digital twin model of the mine is established, the air condition in the mine is simulated in real time through the digital twin model, and when the ventilation door is in a problem, the adjustment parameters of other ventilation doors are quickly determined through the digital twin system, so that the technical effect of quickly and effectively adjusting the parameters is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a schematic illustration of a mine tunnel being sectioned;
fig. 3 is an extended schematic view of a mine shaft.
Detailed Description
The invention is described in detail with reference to the following drawings and detailed description.
As shown in fig. 1, a flow chart of a data processing method based on mine intelligence of the present invention is provided, and the method specifically includes:
step S01, establishing a digital twin of the mine, wherein the digital twin at least comprises mine passage distribution of the mine, all air sensors in the mine passages and all ventilation doors in the mine passages.
Because the mine needs to be continuously tunneled in the production process, the change frequency of the internal environment is very high, and in order to simulate the environment in the mine, the embodiment firstly models the digital twin of the target mine.
The digital twins can adopt a physical environment in a computer model mine, and can be simple and complex according to different simulated nodules.
In order to simulate the ventilation environment in the mine, the digital twinning of this embodiment includes at least the mine path distribution of the mine, all air sensors in the mine path, and all ventilation doors in the mine path. The distribution of the mine roads can adopt three-dimensional modeling, and can also be represented by coordinates of the mine roads only, and the embodiment is not particularly limited as long as the structure of the mine roads can be represented; the air sensor in this embodiment is a sensor capable of measuring an air index, which may be an air flow rate, a flow direction, an oxygen content, a gas content, or the like, as long as it can indicate the quality of air processed by the sensor; the ventilation door described in the embodiment refers to a device capable of conveying air for a mine tunnel, the ventilation door is controlled through an electric switch, and can be opened, closed and adjusted in air quantity, the ventilation door is connected to a central controller through a wired or wireless network, the central controller can issue a control command for the ventilation door, and working parameters of the ventilation door are set.
Because the ventilation condition in the mine mainly depends on the ventilation door, the ventilation door generates airflow to form circulating airflow in the mine, and the air sensor detects the air quality in real time, the twin system at least needs the ventilation door, the mine structure and the air sensor to simulate the air condition in the mine.
And S02, sequentially opening each ventilation door of the mine with a first preset air quantity, closing other ventilation doors, and acquiring data of each air sensor when each ventilation door is opened to obtain a ventilation door influence matrix, wherein the data of the air sensor comprises a wind direction and at least one item of air quality data.
The air flow in the mine is mainly excited by the air flow generated by each ventilation door, and the air flow has approximate linear superposition property in a macroscopic view, so that in order to simplify the model, for each detection point, the air quality data can be regarded as linear superposition of the effect generated at the detection point when each ventilation door is opened (for percentage-class index linear superposition, content data is required to be used for independent calculation, and for convenience of expression, the embodiment is expressed by linear superposition). In order to obtain the influence of each ventilation door on each detection point in the mine, each ventilation door is further opened in sequence in the embodiment, and when the ith ventilation door is opened, the data of the jth air sensor is acquired, so that a ventilation door influence matrix is obtained.
Wherein,
a matrix of the influence is represented which,
and the data of the jth air sensor are shown when the ith ventilating door is opened at the first preset air quantity and other ventilating doors are closed.
The direction measuring instrument of the air sensor is installed along the direction of the mine (indicated by the mine port)Toward the direction of mine penetration), the direction that can be measured by the direction measuring instrument is two directions because the airflow flows along the mine in the mine, and for any one air sensor, the airflow is along the mine direction
When the air flow is positive and reverse to the direction of the mine tunnel
Is negative.
And S03, segmenting the mine from the bifurcation of each mine to obtain multiple sections of mines, obtaining data of the air sensor of each section of mine according to the ventilation door influence matrix for each section of mine, interpolating the data of the air sensor of each section of mine, and establishing a ventilation door influence equation for each section of mine according to the interpolation result.
Illustratively, as shown in fig. 2, the mine includes two more branches, and the mine is divided into five segments, AB, BD, BC, CE, and CF. At the mine road cross road, different cross road spaces are different, the segmentation position is different, and the air current can produce more uncertainty when meetting the cross road, in order to simplify the model, cut apart the mine road from every branching department, obtain a plurality of mine road sections, handle every mine road section respectively.
The influence matrix P is the influence effect of each ventilation door on each air sensor independently, and the air sensors contain coordinate positions, so that the air sensors contained in each section of mine can be determined according to the segmentation result of the mine, and the effect of each ventilation door when being opened in each section of mine is obtained.
Illustratively, the BC segment includes four air sensors, and the 3 rd air door opening, obtained from the air door influence matrix, has an oxygen content of 20%, 19.5%, 19.1%, 18.8%, respectively.
In order to obtain the count of the air sensor at any point in the mine, the embodiment further performs interpolation processing on the reading of each section of mine. Preferably, this embodiment employs bilinear interpolation.
Illustratively, for segment BC, 20%, 19.5%, 19.1%, 18.8% of oxygen at the opening of the 3 rd vent door is bilinearly interpolated every 0.1m distance, resulting in interpolated data for a coefficient.
And fitting after interpolation combination is obtained, so as to obtain an air door influence equation of each air door on each section of mine.
Wherein
Representing the distance of the Kth mine tunnel from the starting point; illustratively, for a BD segment mine tunnel, point B is the starting point, and from point B, at the 10 th meter, the point B is the starting point
Taking 10, the present embodiment determines the equation by the bit relative to the starting point, so that the complicated coordinate system conversion can be avoided.
An equation of influence representing the fit of the ith ventilation door,
the air quantity coefficient is expressed, each ventilation door is opened by first preset air quantity when the test is carried out, when the air quantity of the ventilation door is increased or reduced relative to the first preset air quantity,
increase or decrease accordingly, in particular:
and S04, initializing the digital twin according to the ventilation door influence equation, and updating the digital twin according to real-time data of the ventilation door of the mine.
After the influence equation is obtained, the influence equation can be substituted into a digital twin system to obtain the real air volume of the ventilation door in the current mine, and the air volume coefficient is calculated
And calculating the influence of each ventilation door on each point in the mine tunnel through a ventilation tunnel influence equation, superposing all the influences to obtain the air data of any point in the mine tunnel, and simulating complete mine tunnel air flow after obtaining the air data of any point.
And when the parameters of the ventilation door are changed, such as opening and closing, increasing or reducing the air volume, calculating the airflow data in the mine tunnel in real time according to the air data formula so as to keep the digital twin and the mine tunnel synchronous.
And S05, acquiring the error rate of the digital twin model.
Because the air model is regarded as linear superposition by the digital twin model and some approximate processing is adopted, the problem that the real-time airflow data of the twin model deviates from the real airflow data of the mine tunnel is difficult to avoid; the embodiment further corrects the digital twin model; and during the running period of the mine tunnel and the digital twin model, acquiring real readings of the air sensor in real time, acquiring simulated readings of the corresponding positions of the digital twin, and comparing the real readings with the simulated readings to acquire an error rate. In particular, gaseous error rate
Calculated by the following formula:
further, a plurality of error rates of a plurality of time periods are acquired, and the plurality of error rates of the plurality of time periods are averaged to obtain a final error rate.
Further, because of the differences in the environment of each mine, an error rate may be calculated for each section of mine.
And S06, updating the digital twin ore way distribution in real time according to the change of the ore way, and calculating air data of an extending part according to the influence equation when the ore way extends.
As the mine path changes frequently, as shown in fig. 3, when the mine path extends from point E to point G, only the mine path model of the EG section needs to be added in the digital twin, the coordinates of the extension section are determined, and the air data of the EG section is calculated by using the influence equation; therefore, the embodiment can easily update the model as the mine road extends, and the consistency between the digital twin and the real mine road is protected.
And S07, when any ventilation door fails, adjusting the non-failed ventilation door by adopting the digital twin simulation, determining the adjustment parameters of the non-failed ventilation door when the air data of all positions in the mine are qualified, and adjusting the ventilation door of the mine according to the adjustment parameters of the non-failed ventilation door.
When any ventilation door has a fault, in order to obtain an adjustment strategy, the embodiment firstly synchronously closes the fault ventilation door in the digital twin; and adopting a preset step length to respectively adjust the air volume of other normal ventilation doors in the digital twin, calculating whether all points in the mine tunnel reach the preset air quality by using an influence equation and the error rate of the model, and adjusting the parameters of the ventilation door in the digital twin system at the moment to the actual ventilation door parameters when all the points in the mine tunnel reach the preset air quality.
Because the simulation adjustment is carried out in the digital twin system, parameters which need to be adjusted and enable the air quality to reach the standard can be quickly simulated by adopting a simulation program, and the problem that the air quality does not reach the standard due to blind adjustment is avoided.
In another embodiment, there is also provided a data processing system based on mine intelligence, the system comprising at least one processor that performs any one of the methods in the preceding embodiments, or a combination of any several of the foregoing.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
The present invention is not limited to the specific module configuration described in the related art. The prior art mentioned in the background section and the detailed description section can be used as part of the invention to understand the meaning of some technical features or parameters. The scope of the present invention is defined by the claims.
Claims (7)
1. A data processing method based on mine intellectualization is characterized by comprising the following steps:
step S01, establishing a digital twin of the mine, wherein the digital twin at least comprises mine passage distribution of the mine, all air sensors in the mine passages and all ventilation doors in the mine passages;
s02, sequentially opening each ventilation door of the mine with a first preset air quantity, closing other ventilation doors, and acquiring data of each air sensor when each ventilation door is opened to obtain a ventilation door influence matrix, wherein the data of the air sensors comprise a wind direction and at least one item of air quality data;
s03, segmenting the mine from the bifurcation of each mine to obtain multiple sections of mines, obtaining data of an air sensor of each section of mine according to the ventilation door influence matrix aiming at each section of mine, interpolating the data of the air sensor of each section of mine, and establishing a ventilation door influence equation for each mine according to an interpolation result;
the influence equation of the ventilation door is as follows:
y ik ＝α i f i (x k )；
wherein x is k Indicating the distance of the first mine shaft from the starting point, f i (x k ) Fitting equation, alpha, representing the ith ventilation door i Expressing the air volume coefficient;
s04, initializing the digital twin according to the ventilation door influence equation, and updating the digital twin according to real-time data of a ventilation door of a mine;
s05, acquiring an error rate of the digital twin model;
step S06, updating the digital twin mine tunnel distribution in real time according to the change of the mine tunnel, and calculating air data of an extending part according to the influence equation when the mine tunnel extends;
step S07, when any vent door breaks down, firstly synchronously closing the broken vent door in the digital twin; and adopting a preset step length to respectively adjust the air volume of other normal ventilation doors in the digital twin, calculating whether all points in the mine tunnel reach the preset air quality by using an influence equation and the error rate of the model, determining the adjustment parameters of the ventilation door without faults when the air data at all positions in the mine tunnel are qualified, and adjusting the ventilation door of the mine tunnel according to the adjustment parameters of the ventilation door without faults.
2. The data processing method based on mine intelligence as claimed in claim 1, wherein: the vent door influence matrix is:
wherein P represents an influence matrix, P ij Indicating that the ith ventilation door is opened by the first preset air quantity, and the jth air sensor data is obtained when other ventilation doors are closed。
3. The data processing method based on mine intelligence of claim 1, wherein: the specific calculation method of the error rate comprises the following steps: and during the running of the mine tunnel and the digital twin model, acquiring real readings of the air sensor in real time, acquiring simulated readings of the corresponding positions of the digital twin, and comparing the real readings with the simulated readings to acquire an error rate.
4. The data processing method based on mine intelligence of claim 3, wherein: and acquiring a plurality of error rates of a plurality of time periods, and averaging the error rates of the plurality of time periods to obtain a final error rate.
5. The data processing method based on mine intelligence of claim 3, wherein: an error rate is calculated for each respective section of the mine.
6. The data processing method based on mine intelligence of claim 1, wherein: when the mine tunnel extends, calculating air data of an extending part according to the influence equation specifically comprises the following steps: when the mine tunnel extends, adding a mine tunnel model of a corresponding extension section in the digital twin, determining the coordinates of the extension section, and substituting the coordinates of the extension section into the ventilation door influence equation to calculate the air data at each position in the extension section.
7. A data processing system based on mine intellectuality which characterized in that: the system comprises at least one processor that performs the method of any one of claims 1-6.
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