CN114547723A - Smart mine management and control method and device - Google Patents
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Abstract
The invention provides a smart mine management and control method and a device, which comprise the following steps: acquiring a parameter gradient of a settlement prediction algorithm before a preset time period; acquiring newly added structure information and newly added load information at the goaf after a preset time period; comparing the newly added structure information with the historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result; updating a settlement prediction algorithm based on the structure comparison result and the load comparison result; and inputting the current time to a settlement prediction algorithm to obtain a prediction result, and managing and controlling the mine according to the prediction result. The technical scheme provided by the invention can update the weight and gradient of the settlement prediction algorithm according to the structure and load of the newly added goaf, so that the technical scheme provided by the invention can comprehensively consider the settlement prediction algorithm according to different types and quantities of pillars established in mining construction and different loads of different landform environments, and the settlement prediction algorithm is adaptively adjusted, thereby ensuring the relative accuracy of the result.
Description
Technical Field
The invention relates to the technical field of intelligent mines, in particular to a method and a device for controlling an intelligent mine.
Background
With the rapid development of the economic society, the demand on mineral products is greater and greater, a lot of minerals need underground mining, a large area of goaf can be left after a large amount of mining of the minerals, and overlying strata of the goaf are settled or damaged due to stress balance factors along with the increase of the volume of the goaf and the lapse of time, so that the safe production of mines is influenced; more particularly, the overburden rock moves and spreads to the ground surface to deform and collapse the ground surface, so that casualties, farmland damage and ground building damage are caused, the ground surface environment and the diving environment are changed, and the engineering geological disaster seriously influences the ecological environment. In order to compensate the loss caused by safety accidents due to the movement of overlying strata during mining, the compensation cost paid by some mines in China each year reaches thousands of yuan, even exceeds one hundred million yuan, for example, the national cost for treating a large mining subsidence area in Huainan, Anhui reaches 12 million yuan.
The overlying strata settlement moving process is influenced by complex factors such as geological conditions, mining methods, roof control, ore body thickness, inclination angles, rock physical and mechanical properties, geological structures and the weathering degree of rocks, so that the prediction of the overlying strata settlement in the goaf is an international problem in the field at present and is also a hotspot problem. Overburden settlement generally has three zones, namely a caving zone, a fissure zone and a bending subsidence zone. The bending zone waves the earth surface to form a so-called sedimentation basin, the formation of the sedimentation basin is a dynamic process which is continuously expanded along with the progress of underground mining, and after the mining is finished, the earth surface sinks for a certain time and then becomes stable to form a final sedimentation basin. In recent years, many experts and scholars put forward a lot of experience and methods for predicting mining ground subsidence when researching overburden rock and ground surface movement rules, but the methods have advantages and disadvantages respectively.
In the prior art, a time function model of the relation between the ground subsidence and the time can be constructed in various forms, so that the dynamic prediction of overburden settlement is realized. However, during actual mining and construction, the overburden settlement of mines at different time and different places has a relationship with the distribution of goaf pillars and the newly added load on the earth surface above the goaf, so that the traditional time function model of the relationship between the surface subsidence and the time has a deviation when the overburden settlement is predicted.
Disclosure of Invention
The embodiment of the invention provides a smart mine control method and device, which can predict overburden settlement and guide mine control according to a prediction result.
In a first aspect of the embodiments of the present invention, a method for managing and controlling an intelligent mine is provided, including:
acquiring a parameter gradient of a settlement prediction algorithm before a preset time period;
acquiring newly increased structure information and newly increased load information at the goaf after a preset time period;
comparing the newly added structure information with historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result;
updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result;
and inputting the current time to the settlement prediction algorithm to obtain a prediction result, and managing and controlling the mine according to the prediction result.
Optionally, in a possible implementation manner of the first aspect, the obtaining new added structure information and new added load information at the goaf after the preset time period includes:
selecting a central point, and establishing a three-dimensional coordinate axis based on the central point;
determining the horizontal lowest point of each newly added ore pillar in the newly added structure information, and taking the horizontal lowest point as the three-dimensional position information of the corresponding newly added ore pillar;
establishing a plurality of sectors in a preset interval by taking the center of the newly added ore pillar as an axis of the sector, and acquiring an ore pillar closest to the newly added ore pillar in each sector as an adjacent ore pillar;
and calculating the average distance between each newly added pillar and the adjacent pillar, and obtaining newly added structure information based on the average distance.
Optionally, in a possible implementation manner of the first aspect, calculating an average distance between each newly added pillar and an adjacent pillar, and obtaining new structure information based on the average distance includes:
calculating the information of each newly added ore pillar by the following formula:
wherein s ispNew pillar information, x, for the pth new pillarpThe x-axis coordinate information, y, of the newly added pillar ppY-axis coordinate information, z, of newly added pillar ppZ-axis coordinate information, x, of newly added pillar ppFor newly added pillar p nth sector adjacent pillar x-axis coordinate information, ypFor newly adding y-axis coordinate information, z, of adjacent pillars of the nth sector of the pillarpThe z-axis coordinate information of the adjacent ore pillar of the nth sector of the newly added ore pillar, the number of the N sectors, and OqThe horizontal sectional area of the Q-th section of the newly added ore pillar is shown, Q is the number of the sections, A is a first weight coefficient, and B is a second weight coefficient;
calculating the new structure information by the following formula, including:
wherein S is newly added structure information, and b is the number of newly added ore pillars.
Optionally, in a possible implementation manner of the first aspect, the comparing the new structure information with the historical structure information to obtain a structure comparison result includes:
obtaining historical structure information V and newly added structure information S, and comparing the historical structure information V with the newly added structure information S through the following formula to obtain a structure comparison result, wherein the structure comparison result comprises the following steps:
wherein,
as a result of the structural comparison, k1The coefficients are normalized for the structure.
Optionally, in a possible implementation manner of the first aspect, the obtaining new added structure information and new added load information at the goaf after the preset time period includes:
selecting a central point, and establishing a three-dimensional coordinate axis based on the central point;
acquiring a newly added goaf at the goaf after a preset time period, and acquiring a two-dimensional boundary coordinate of the newly added goaf based on the three-dimensional coordinate axis, wherein the two-dimensional boundary coordinate does not include a z-axis coordinate;
acquiring a z-axis coordinate of the upper part of the overburden layer, and acquiring three-dimensional coordinates of all newly-added loads of the newly-added goaf on the basis of the z-axis coordinate to further acquire the volume of the newly-added loads;
and acquiring newly added load information based on the volume of the newly added load and the preset density information.
Optionally, in a possible implementation manner of the first aspect, the comparing the new load information with the historical load information to obtain a load comparison result includes:
acquiring the load r under the unit area in the historical load information;
acquiring the load e under the unit area in the newly added load information;
calculating the load comparison result by the following formula, including:
wherein,
as a result of the structural comparison, k2The coefficients are normalized for load.
Optionally, in a possible implementation manner of the first aspect, updating the parameter gradient of the subsidence prediction algorithm based on the structure comparison result and the load comparison result includes:
will be provided with
And
the model gradient update is performed as input to the sedimentation prediction algorithm f (t).
Optionally, in a possible implementation manner of the first aspect, the central point is a central point of the entire goaf at the current time.
In a second aspect of the embodiments of the present invention, an intelligent mine management and control device is provided, including:
the model acquisition module is used for acquiring the parameter gradient of the settlement prediction algorithm before a preset time period;
the information acquisition module is used for acquiring newly added structure information and newly added load information at the goaf after a preset time period;
the comparison module is used for comparing the newly added structure information with historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result;
an updating module for updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result;
and the control module is used for inputting the current moment into the settlement prediction algorithm to obtain a prediction result and controlling the mine according to the prediction result.
In a third aspect of the embodiments of the present invention, a readable storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to carry out the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.
According to the intelligent mine management and control method and device, the weight and gradient of the settlement prediction algorithm can be updated according to the structure and load of the newly added goaf, so that the technical scheme provided by the invention can be used for carrying out adaptive adjustment on the settlement prediction algorithm according to different types and quantities of pillars established in mining construction and different loads of different topographic environments, and relatively accurate results are ensured.
When the structure of the goaf is determined, the distance between the newly added ore pillar and the adjacent ore pillar and the sectional areas of different ore pillars are fully considered, and the problem that the settlement degree cannot be predicted by referring to the construction condition in the prior art is solved. In addition, the method can respectively calculate the distance between each newly added ore pillar and the adjacent ore pillars in different directions, and further, the distribution of each newly added ore pillar is fused and considered, so that the determined structure of the goaf is more accurate.
The method is realized by constructing a three-dimensional coordinate when determining the load capacity, two dimensions of the load are determined by an x-axis coordinate and a y-axis coordinate of the goaf, and a z-axis coordinate is determined by the overburden layer, so that the method is more accurate when determining the load capacity, errors can be reduced by adopting the method for measuring, and all parts of the upper part of the overburden layer are taken as the load instead of the overground part.
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FIG. 1 is a flow chart of a first embodiment of a smart mine management method;
fig. 2 is a structural view of a first embodiment of the intelligent mine management and control device.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, for example, and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that A, B, C all comprise, "comprises A, B or C" means comprise one of A, B, C, "comprises A, B and/or C" means comprise any 1 or any 2 or 3 of A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The invention provides an intelligent mine management and control method, which is shown in a flow chart of fig. 1 and comprises the following steps:
and S110, acquiring a parameter gradient of the settlement prediction algorithm before a preset time period. The settlement prediction algorithm in the invention is not limited at all, and can be a settlement prediction model. The settlement prediction algorithm may be several prediction modes including but not limited to:
1. sinking at a constant speed;
2. accelerating sinking until collapse;
3. starting accelerated sinking and then decelerated sinking to finally reach a stable state;
4. the initial accelerated sinking followed by a deceleration sinking followed by a re-acceleration sinking until collapse.
And step S120, newly added structure information and newly added load information at the goaf after the preset time period are obtained. During the actual mining process of a mine, minerals in a goaf gradually become less, and the larger the goaf is, the structure and the load of the goaf are irregularly changed. Therefore, the newly added structure information and newly added load information at the goaf can be collected according to the preset time period, wherein the preset time period can be one day, one hour and the like.
Step S130, comparing the newly added structure information with the historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result. After the goaf of the mine is obtained, the newly added goaf is compared with the historical goaf, and then a structure comparison result and a load comparison result are obtained.
And step S140, updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result. According to the method, the parameter gradient of the settlement prediction algorithm is updated according to the comparison result of the newly added goaf and the historical goaf, and the accuracy of the settlement prediction algorithm is further guaranteed.
And S150, inputting the current time to the settlement prediction algorithm to obtain a prediction result, and managing and controlling the mine according to the prediction result. The invention can predict the sedimentation condition in a certain time period, namely, the current time is input into a sedimentation prediction algorithm to obtain a prediction result, the prediction result can be dangerous or not, and can also be sedimentation data, and the mine is continuously mined or is controlled not to be mined and the like according to the result.
In one possible embodiment, step S120 includes:
and selecting a central point, and establishing a three-dimensional coordinate axis based on the central point. The invention can determine the structural information in a three-dimensional coordinate mode, so that a central point is selected first, and then the three-dimensional coordinate is established.
And determining the horizontal lowest point of each newly added ore pillar in the newly added structure information, and taking the horizontal lowest point as the three-dimensional position information of the corresponding newly added ore pillar. Since in the added structure the overburden is supported by a number of added pillars, the present invention first determines the location information for each pillar. The horizontal lowest point of each ore pillar is the coordinate of the three-dimensional position information of the newly added ore pillar.
And establishing a plurality of sectors in a preset interval by taking the center of the newly added ore pillar as an axis of the sector, and acquiring an ore pillar closest to the newly added ore pillar in each sector as an adjacent ore pillar. According to the method, when the adjacent pillars of the newly added pillars are calculated, a plurality of sectors in the preset interval are established, so that the method not only guarantees the relatively adjacent pillars which can be collected, but also guarantees the non-uniqueness of the adjacent pillars of the newly added pillars under a general condition, and is more suitable for actual goaf mining.
And calculating the average distance between each newly added pillar and the adjacent pillar, and obtaining newly added structure information based on the average distance. When the structure of the newly added ore pillar is determined, the average distance between the newly added ore pillar and each adjacent ore pillar is determined, and the closer the distance between the two ore pillars is, the better the support performance is, and the larger the support force borne by the overlying strata is. And the supporting force of the newly added ore pillar and the adjacent ore pillar on the nearby overlying rock layer can be reflected according to the average distance.
In one possible embodiment, calculating an average distance between each new pillar and an adjacent pillar, and obtaining new structure information based on the average distance includes:
calculating the information of each newly added ore pillar by the following formula, including:
wherein s ispNew pillar information for the p-th new pillar, xpThe x-axis coordinate information, y, of the newly added pillar ppNewly adding y-axis coordinate information of pillar p, zpZ-axis coordinate information, x, of newly added pillar ppFor newly added pillar p nth sector adjacent pillar x-axis coordinate information, ypFor newly adding y-axis coordinate information, z, of the adjacent pillar of the nth sector of the pillar ppThe z-axis coordinate information of the adjacent ore pillar of the nth sector of the newly added ore pillar, the number of the N sectors, and OqThe horizontal sectional area of the Q-th section of the newly added ore pillar is shown, Q is the number of the sections, A is a first weight coefficient, and B is a second weight coefficient.
When the information of the newly added ore pillars of each newly added ore pillar is calculated, the distance between the newly added ore pillar and the adjacent ore pillar and the sectional area of the newly added ore pillar are fully considered, and generally, the larger the sectional area of the ore pillar is, the better the support performance is. In addition, in actual construction, the sectional area of the ore pillars may change along with the change of the height, so the method can perform normalization processing on the sectional area of each ore pillar, namely extracting the sum of the areas of interfaces with different heights in one ore pillar, and reflecting the whole area of the ore pillar, wherein the sections can be collected once at an interval of half a meter, or the sections can be selected according to the height proportion of each ore pillar, but the number of the sections taken by each ore pillar needs to be ensured to be the same.
Calculating the newly added structure information by the following formula, including:
wherein S is newly added structure information, and b is the number of newly added ore pillars. After the new pillar information of each new pillar is obtained, all the new pillar information is counted to obtain new structure information, so that the actual situation of each pillar is fully considered.
In one possible embodiment, the comparing the new structure information with the historical structure information to obtain the structure comparison result includes:
obtaining historical structure information V and newly added structure information S, and comparing the historical structure information V with the newly added structure information S through the following formula to obtain a structure comparison result, wherein the structure comparison result comprises the following steps:
wherein,
as a result of the structural comparison, k1The coefficients are normalized for the structure.
After the newly added structure information S is obtained, the historical structure information V and the newly added structure information S are compared, the degree of distinction and the degree of dispersion between the historical structure information V and the newly added structure information S are determined, the newly added structure and the previous structure are reflected to be compared in a differentiated mode to obtain a difference result, the difference result is compared with the original settlement prediction algorithm and then fused, and the prediction accuracy of the settlement prediction algorithm is improved.
When the structure of the goaf is determined, the distance between the newly added ore pillar and the adjacent ore pillar and the sectional areas of different ore pillars are fully considered, and the problem that the settlement degree cannot be predicted by referring to the construction condition in the prior art is solved. In addition, the method can respectively calculate the distance between each newly added ore pillar and the adjacent ore pillars in different directions, and further, the distribution of each newly added ore pillar is fused and considered, so that the determined structure of the goaf is more accurate.
In one possible embodiment, the acquiring new added structure information and new added load information at the goaf after the preset time period comprises:
and selecting a central point, and establishing a three-dimensional coordinate axis based on the central point. The invention can determine through the form of three-dimensional coordinate when newly adding the load information, so will choose a central point first, then set up the three-dimensional coordinate.
And acquiring a newly added goaf at the goaf after a preset time period, and acquiring a two-dimensional boundary coordinate of the newly added goaf based on the three-dimensional coordinate axis, wherein the two-dimensional boundary coordinate does not include a z-axis coordinate. The load determination method is realized by constructing three-dimensional coordinates when determining the load amount, and two dimensions of the load are determined by the x-axis coordinates and the y-axis coordinates of the goaf.
And acquiring a z-axis coordinate of the upper part of the overburden layer, and acquiring three-dimensional coordinates of all newly-added loads of the newly-added goaf on the basis of the z-axis coordinate to further acquire the volume of the newly-added loads. The z-axis coordinate is determined through the overburden layer, so that the load quantity is determined more accurately, errors can be reduced by adopting the measurement mode, and all parts of the upper part of the overburden layer are used as loads, not just the overground part.
When the volume of the newly added load is determined, the accuracy of determining the load range is guaranteed through the sequential acquisition of the coordinates based on the GIS technology.
And acquiring newly added load information based on the volume of the newly added load and the preset density information. Since different addresses and landforms may have different densities, the present invention determines the density of the symbol load according to different geology and landforms, which may be preset.
The load in the present invention may be buildings, terrain, etc. on the overburden.
In a possible embodiment, the comparing the new load information with the historical load information to obtain a load comparison result includes:
acquiring the load r under the unit area in the historical load information;
acquiring the load e under the unit area in the newly added load information;
calculating the load alignment result by the following formula, including:
wherein,
as a result of the structural comparison, k2The coefficients are normalized for load.
After the load e of the newly added load information is obtained, the load r in the unit area in the historical load information is compared with the load e in the unit area in the newly added load information, so that the distinguishing degree and the dispersion degree between the load r in the historical load information and the load e in the unit area in the newly added load information are determined, the newly added load and the previous load are reflected through the method to be compared in a differentiation mode, a difference result is obtained, the difference result is compared with the original settlement prediction algorithm and then fused, and the prediction accuracy of the settlement prediction algorithm is improved.
In one possible embodiment, updating the parameter gradient of the subsidence prediction algorithm based on the structure alignment result and the load alignment result comprises:
will be provided with
And
the model gradient update is performed as input to the sedimentation prediction algorithm f (t).
The sedimentation prediction algorithm f (t) may have a weight p by
And
the weights ρ may also be performedCorrecting in such a way that
And
and multiplying the weight p by a preset weight to obtain a weight p, so as to achieve the purpose of correcting the predicted result of the settlement prediction algorithm f (t).
And the central point is the central point of the whole goaf at the current moment.
The invention also provides an intelligent mine management and control device, as shown in fig. 2, which has a schematic structural diagram including:
the model acquisition module is used for acquiring the parameter gradient of the settlement prediction algorithm before a preset time period;
the information acquisition module is used for acquiring newly added structure information and newly added load information at the goaf after a preset time period;
the comparison module is used for comparing the newly added structure information with historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result;
an updating module for updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result;
and the control module is used for inputting the current moment to the settlement prediction algorithm to obtain a prediction result and controlling the mine according to the prediction result.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising executable instructions stored on a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A smart mine management and control method is characterized by comprising the following steps:
acquiring a parameter gradient of a settlement prediction algorithm before a preset time period;
acquiring newly added structure information and newly added load information at the goaf after a preset time period;
comparing the newly added structure information with historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result;
updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result;
and inputting the current time to the settlement prediction algorithm to obtain a prediction result, and managing and controlling the mine according to the prediction result.
2. The intelligent mine management and control method of claim 1, wherein the obtaining of newly added structure information and newly added load information at the gob after a preset time period comprises:
selecting a central point, and establishing a three-dimensional coordinate axis based on the central point;
determining the horizontal lowest point of each newly added ore pillar in the newly added structure information, and taking the horizontal lowest point as the three-dimensional position information of the corresponding newly added ore pillar;
establishing a plurality of sectors in a preset interval by taking the center of the newly added ore pillar as an axis of the sector, and acquiring an ore pillar closest to the newly added ore pillar in each sector as an adjacent ore pillar;
and calculating the average distance between each newly added pillar and the adjacent pillar, and obtaining newly added structure information based on the average distance.
3. The intelligent mine management and control method according to claim 2,
calculating the average distance between each newly added pillar and the adjacent pillar, and obtaining newly added structure information based on the average distance comprises the following steps:
calculating the information of each newly added ore pillar by the following formula:
wherein s ispNew pillar information, x, for the pth new pillarpNewly added x-axis coordinate information, y of pillar ppY-axis coordinate information, z, of newly added pillar ppNewly added z-axis coordinate information, x, of the pillar ppFor newly adding x-axis coordinate information, y, of adjacent pillars of the nth sector of the pillar ppFor newly adding y-axis coordinate information, z, of adjacent pillars of the nth sector of the pillarpThe z-axis coordinate information of the adjacent ore pillar of the nth sector of the newly added ore pillar, the number of the N sectors, and OqThe horizontal sectional area of the Q-th section of the newly added ore pillar is shown, Q is the number of the sections, A is a first weight coefficient, and B is a second weight coefficient;
calculating the new structure information by the following formula, including:
wherein S is the newly added structure information, and b is the number of newly added ore pillars.
4. The intelligent mine management and control method according to claim 3,
comparing the newly added structure information with the historical structure information to obtain a structure comparison result comprises:
obtaining historical structure information V and newly added structure information S, and comparing the historical structure information V with the newly added structure information S through the following formula to obtain a structure comparison result, wherein the structure comparison result comprises the following steps:
wherein,
as a result of the structural comparison, k1The coefficients are normalized for the structure.
5. The intelligent mine management and control method according to claim 4,
the new structure information and the new load information which are newly added at the goaf after the preset time period are obtained, and the new structure information and the new load information comprise the following steps:
selecting a central point, and establishing a three-dimensional coordinate axis based on the central point;
acquiring a newly added goaf at the goaf after a preset time period, and acquiring a two-dimensional boundary coordinate of the newly added goaf based on the three-dimensional coordinate axis, wherein the two-dimensional boundary coordinate does not include a z-axis coordinate;
acquiring a z-axis coordinate of the upper part of the overburden layer, and acquiring three-dimensional coordinates of all newly-added loads of the newly-added goaf on the basis of the z-axis coordinate to further acquire the volume of the newly-added loads;
and acquiring newly added load information based on the volume of the newly added load and the preset density information.
6. The intelligent mine management and control method according to claim 5,
comparing the newly added load information with the historical load information to obtain a load comparison result comprises:
acquiring the load r under the unit area in the historical load information;
acquiring the load e under the unit area in the newly added load information;
calculating the load comparison result by the following formula, including:
wherein,
as a result of the structural comparison, k2The coefficients are normalized for load.
7. The intelligent mine management and control method according to claim 5, wherein updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result comprises:
will be provided with
And
the model gradient update is performed as input to the sedimentation prediction algorithm f (t).
8. The intelligent mine management and control method according to any one of claims 2 to 7,
the central point is the central point of the whole goaf at the current moment.
9. The utility model provides an wisdom mine management and control device which characterized in that includes:
the model acquisition module is used for acquiring the parameter gradient of the settlement prediction algorithm before a preset time period;
the information acquisition module is used for acquiring newly added structure information and newly added load information at the goaf after a preset time period;
the comparison module is used for comparing the newly added structure information with historical structure information to obtain a structure comparison result, and comparing the newly added load information with the historical load information to obtain a load comparison result;
an updating module for updating the parameter gradient of the settlement prediction algorithm based on the structure comparison result and the load comparison result;
and the control module is used for inputting the current moment to the settlement prediction algorithm to obtain a prediction result and controlling the mine according to the prediction result.
10. A readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 8.
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