CN118052479B - Production optimization method and system for open-pit mine - Google Patents
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Abstract
The invention discloses a production optimization method and a production optimization system for an open-pit mine, which relate to the technical field of data processing and comprise the steps of collecting geographical information of the mine, establishing a three-dimensional model of the mine and customizing a mining plan; analyzing the mining plan to construct a mining site automatic production loop chain, and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain; determining production indexes of each link in a mining site automatic production link chain, and determining production index theoretical values of each link based on a mining plan, automatic equipment and a corresponding automatic control system; and optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index. Indexes which effectively reflect the production condition are screened out, and the automatic control model parameters corresponding to the link are optimized by comparing the theoretical values of the production indexes with the actual values of the production indexes, so that the adaptability of an automatic control model algorithm is ensured, and the stability of automatic production of a mine site is ensured.
Description
Technical Field
The application relates to the technical field of electric data processing, in particular to a method and a system for optimizing production of an open-air mine.
Background
Automated production optimization of open-pit mines is an important development direction in the current mining field, and the background technology mainly stems from the strong demands for production efficiency, safety, cost control and environmental protection. With the rapid development of automation and intelligent technologies, open-pit mines can realize the automatic control of all links from exploitation to processing, and solve the problems in the traditional production mode, such as high safety risk, low efficiency, high cost and the like.
In the concrete technical implementation, the automatic production optimization of the open-air mine relates to integrated application in multiple fields such as intelligent sensors, the Internet of things, big data, cloud computing and the like. The techniques can monitor the mine environment in real time, collect and analyze production data, and further optimize production flow and equipment scheduling.
In general, the realization of the automatic production optimization of the open-pit mine can greatly improve the production efficiency of the mine, reduce the operation cost, enhance the safety, be beneficial to realizing the aim of green mining and promote the sustainable development of the mining.
In the prior art, control algorithm parameters related to each automation link cannot adapt to complex and changeable mining field production conditions, so that production efficiency and production stability are poor.
Therefore, how to improve the adaptability of the control algorithm parameters is a technical problem to be solved at present.
Disclosure of Invention
The invention provides a production optimization method of an open-pit mine, which is used for solving the technical problem of low adaptability of control algorithm parameters in the prior art. The method comprises the following steps:
collecting the geographical information of a mine, establishing a three-dimensional model of the mine, and customizing a mining plan;
Analyzing the mining plan to construct a mining site automatic production loop chain, and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain;
Determining production indexes of each link in a mining site automatic production link chain, and determining production index theoretical values of each link based on a mining plan, automatic equipment and a corresponding automatic control system;
And optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index.
In some embodiments of the present application, collecting mine geographic information, and building a three-dimensional model of the mine, comprising:
the mining site geographic information comprises drilling data and earth surface map filling data, and a drilling database is established through the drilling data;
Inputting a drilling database and earth surface map data into modeling software to generate a fuzzy three-dimensional geologic body, wherein the fuzzy three-dimensional geologic body is composed of known area data and unknown area data;
confirming the distribution uniformity degree and density of the known region data in the fuzzy three-dimensional geologic body;
if the distribution uniformity and density of the known region data in the fuzzy three-dimensional geologic body exceed the corresponding preset values, a first interpolation means is adopted to generate a three-dimensional grid to represent the unknown region data;
otherwise, quantifying the calculation efficiency, calculation cost and interpolation precision of each interpolation means, and determining the duty ratio of the unknown region data in the fuzzy three-dimensional geologic body;
presetting a common mapping relation required by the ratio of unknown region data in the fuzzy three-dimensional geologic body, the calculation efficiency, the calculation cost and the interpolation precision;
taking the interpolation means closest to the requirements of calculation efficiency, calculation cost and interpolation precision in the interpolation means as a second interpolation means, and generating a three-dimensional grid to represent unknown region data;
And adjusting the size of the three-dimensional grid, establishing a surface model by combining the three-dimensional grid and surface map data, and establishing a lithology model and a ore body model by combining the drilling data and the three-dimensional grid.
In some embodiments of the application, adjusting the size of the three-dimensional grid includes:
determining the initial size of the three-dimensional grid and a stratum or lithology boundary corresponding to the three-dimensional grid;
defining adjacent grids in the three-dimensional grids, which are identical in stratum lithology boundary or related to the stratum lithology boundary, as a grid unit;
Determining a deviation interval through the correlation degree of the lithology boundary of the grid stratum in the grid unit;
The three-dimensional grid initial size is adjusted based on the stratigraphic or lithologic boundary class and the deviation interval.
In some embodiments of the present application, determining production metrics for each link in a link chain for automated production of a mine site includes:
Acquiring an evaluation index related to each link, marking the link with the mining quantity index as a first link, and marking the link without the mining quantity index as a second link;
determining the function realized by each link and the function of the link in the whole mine automatic production link chain, so as to obtain the main function corresponding to the link;
Calculating the relevance degree of each evaluation index and the main function of the link, and carrying out size arrangement to obtain an evaluation index sequence;
And determining production indexes of the first link and the second link respectively through the evaluation index sequence, the first link and the second link.
In some embodiments of the present application, determining production indexes of the first link and the second link through the evaluation index sequence, the first link and the second link respectively includes:
Determining screening grades according to the main function quantity corresponding to links, and removing the evaluation indexes obtained after the screening grades in the evaluation index sequence to obtain a new evaluation index sequence;
Calculating the correlation degree between the evaluation indexes in the new evaluation index sequence, and analyzing the logic relationship between every two evaluation indexes of which the correlation degree exceeds the corresponding threshold value;
simplifying and combining the evaluation indexes according to the logic relation to obtain a final evaluation index;
For the first link, taking the mining quantity index and the final evaluation index as production indexes of the first link;
And for the second link, taking the final evaluation index as a production index of the second link.
In some embodiments of the present application, determining a theoretical value of a production index for each link based on a mining plan, an automation device, and a corresponding automation control system includes:
respectively inputting the mining plan, the automation equipment and corresponding data of the corresponding automation control system into different preset neural network models to obtain a first theoretical value, a second theoretical value and a third theoretical value of the production index of each link;
Determining a difference between the first theoretical production index value and the second theoretical production index value, a difference between the second theoretical production index value and the third theoretical production index value, and a difference between the first theoretical production index value and the third theoretical production index value based on the first theoretical production index value, the second theoretical production index value and the third theoretical production index value;
and determining an integration function according to the three differences, and integrating the first theoretical value of the production index, the second theoretical value of the production index and the third theoretical value of the production index through the integration function to obtain the theoretical value of the production index.
In some embodiments of the present application, optimizing the parameters of the automation control model corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index includes:
For the first link, the production index theoretical values comprise mining amount index theoretical values and other evaluation index theoretical values, and the mining amount index deviation values and other evaluation index deviation values are respectively determined based on the production index theoretical values and the production index actual values;
Determining a total index deviation value through the mining quantity index deviation value and other evaluation index deviation values;
；
wherein P is the total index deviation value, For the weight corresponding to the mining quantity index deviation value,For the theoretical value of the mining quantity index,For the actual value of the mining quantity index,For the weight corresponding to the sum of the deviation values of other evaluation indexes, n is the number of other evaluation indexes,For the conversion coefficient corresponding to the i-th other evaluation index,Is the theoretical value of the i-th other evaluation index,For the i-th other actual value of the evaluation index, exp is an exponential function,As an adjustment function with respect to the mining quantity index deviation value,For the adjustment function with respect to the sum of other evaluation index deviation values,Is a preset constant;
for the second link, determining a total index deviation value through other evaluation index deviation values;
And analyzing the flow of each link, determining a deviation interval, and optimizing the parameters of the automatic control model corresponding to the link according to the deviation interval and the total index deviation value.
Correspondingly, the application also provides a production optimization system of the open-pit mine, which comprises the following steps:
The mining system comprises a first module, a second module and a third module, wherein the first module is used for collecting the geographical information of a mine field, establishing a three-dimensional model of the mine field and customizing a mining plan;
The second module is used for analyzing the mining plan to construct a mining site automatic production loop chain and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain;
The third module is used for determining the production index of each link in the automatic production link chain of the mining site, and determining the theoretical value of the production index of each link based on the mining plan, the automatic equipment and the corresponding automatic control system;
And the fourth module is used for optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index.
By applying the technical scheme, collecting the geographical information of the mine, establishing a three-dimensional model of the mine, and customizing a mining plan; analyzing the mining plan to construct a mining site automatic production loop chain, and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain; determining production indexes of each link in a mining site automatic production link chain, and determining production index theoretical values of each link based on a mining plan, automatic equipment and a corresponding automatic control system; and optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index. According to the application, the mining plan is customized by establishing the three-dimensional model of the mining field, so that the accuracy of the mining field model is improved, and the optimization of the mining plan is facilitated. The production index of each link in the link chain of the automatic production of the mining site is determined, the index which effectively reflects the production condition is screened, the automatic control model parameters corresponding to the link are optimized by comparing the theoretical value of the production index with the actual value of the production index, the adaptability of an automatic control model algorithm is ensured, and the stability of the automatic production of the mining site is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a schematic flow chart of a method for optimizing production in an open-pit mine according to an embodiment of the present invention;
Fig. 2 shows a schematic structural diagram of a production optimization system of an open-pit mine according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application provides a production optimization method of an open-pit mine, as shown in fig. 1, comprising the following steps of:
and S101, collecting the geographical information of the mine, establishing a three-dimensional model of the mine, and customizing a mining plan.
In this embodiment, this includes borehole data, geologic profiles, sampled data, and the like. These data may be obtained by a geological exploration team conducting a field survey within the mine. Based on the collected geological data (such as surface map, drilling data and the like), three-dimensional geologic body models are built by utilizing geological modeling software (such as Surpac, 3DMine and the like). This includes earth models, lithology models, ore body models, etc.
In some embodiments of the present application, collecting mine geographic information, and building a three-dimensional model of the mine, comprising:
the mining site geographic information comprises drilling data and earth surface map filling data, and a drilling database is established through the drilling data;
Inputting a drilling database and earth surface map data into modeling software to generate a fuzzy three-dimensional geologic body, wherein the fuzzy three-dimensional geologic body is composed of known area data and unknown area data;
confirming the distribution uniformity degree and density of the known region data in the fuzzy three-dimensional geologic body;
if the distribution uniformity and density of the known region data in the fuzzy three-dimensional geologic body exceed the corresponding preset values, a first interpolation means is adopted to generate a three-dimensional grid to represent the unknown region data;
otherwise, quantifying the calculation efficiency, calculation cost and interpolation precision of each interpolation means, and determining the duty ratio of the unknown region data in the fuzzy three-dimensional geologic body;
presetting a common mapping relation required by the ratio of unknown region data in the fuzzy three-dimensional geologic body, the calculation efficiency, the calculation cost and the interpolation precision;
taking the interpolation means closest to the requirements of calculation efficiency, calculation cost and interpolation precision in the interpolation means as a second interpolation means, and generating a three-dimensional grid to represent unknown region data;
And adjusting the size of the three-dimensional grid, establishing a surface model by combining the three-dimensional grid and surface map data, and establishing a lithology model and a ore body model by combining the drilling data and the three-dimensional grid.
In this embodiment, interpolation processing is performed on the drilling data by using an interpolation algorithm in modeling software, so as to generate a three-dimensional grid. These grids will represent boundaries of different strata or lithologies. Interpolation is a key step in geologic modeling that is used to estimate the value of an unknown region (unknown region data) from known data points (e.g., borehole data). In three-dimensional geologic modeling, interpolation algorithms are used to estimate geologic properties (e.g., formation interfaces, lithology distributions, etc.) between and around boreholes, thereby generating a continuous three-dimensional geologic volume. Common interpolation methods include distance reciprocal weighting, kriging, polynomial interpolation, and the like. The interpolation methods are characterized by being applicable to different geological conditions and data distribution.
In this embodiment, the first interpolation means is suitable for the case where the data points are uniformly and densely distributed, and the second interpolation means is the interpolation means closest to the requirements of calculation efficiency, calculation cost and interpolation accuracy.
In this embodiment, the ratio of the unknown region data in the fuzzy three-dimensional geological body includes a region position ratio, a data volume ratio, and the like. The common mapping relation of the duty ratio of the unknown region data in the fuzzy three-dimensional geological body, the calculation efficiency, the calculation cost and the interpolation precision is preset, and the duty ratio corresponds to the calculation efficiency, the calculation cost and the interpolation precision.
In some embodiments of the application, adjusting the size of the three-dimensional grid includes:
determining the initial size of the three-dimensional grid and a stratum or lithology boundary corresponding to the three-dimensional grid;
defining adjacent grids in the three-dimensional grids, which are identical in stratum lithology boundary or related to the stratum lithology boundary, as a grid unit;
Determining a deviation interval through the correlation degree of the lithology boundary of the grid stratum in the grid unit;
The three-dimensional grid initial size is adjusted based on the stratigraphic or lithologic boundary class and the deviation interval.
In this embodiment, the deviation interval is the difference in size between grids within the grid cell. In gridding calculation, the sizes of adjacent grids should keep certain consistency so as to ensure the accuracy and stability of calculation results. If the adjacent grid size difference is too large, a large numerical error may occur at the grid boundary, thereby affecting the calculation accuracy.
Step S102, analyzing the mining plan to construct a mining site automatic production loop chain, and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain.
Step S103, determining production indexes of each link in the mining site automatic production link chain, and determining production index theoretical values of each link based on a mining plan, automatic equipment and a corresponding automatic control system.
In this embodiment, the mining volume is the most basic index in the mine, which needs to be taken into account separately. The production index theoretical values required by different mining plans, automation equipment and corresponding automation control systems are different. The theoretical value of the production index is a value which is ideal in consideration of the content.
In some embodiments of the present application, determining production metrics for each link in a link chain for automated production of a mine site includes:
Acquiring an evaluation index related to each link, marking the link with the mining quantity index as a first link, and marking the link without the mining quantity index as a second link;
determining the function realized by each link and the function of the link in the whole mine automatic production link chain, so as to obtain the main function corresponding to the link;
Calculating the relevance degree of each evaluation index and the main function of the link, and carrying out size arrangement to obtain an evaluation index sequence;
And determining production indexes of the first link and the second link respectively through the evaluation index sequence, the first link and the second link.
In the embodiment, the function realized by each link and the function of the link in the whole mine automation production link chain are determined, so that the main function corresponding to the link is obtained. The functions which can be realized in each link are more, and the important main functions are determined.
In some embodiments of the present application, determining production indexes of the first link and the second link through the evaluation index sequence, the first link and the second link respectively includes:
Determining screening grades according to the main function quantity corresponding to links, and removing the evaluation indexes obtained after the screening grades in the evaluation index sequence to obtain a new evaluation index sequence;
Calculating the correlation degree between the evaluation indexes in the new evaluation index sequence, and analyzing the logic relationship between every two evaluation indexes of which the correlation degree exceeds the corresponding threshold value;
simplifying and combining the evaluation indexes according to the logic relation to obtain a final evaluation index;
For the first link, taking the mining quantity index and the final evaluation index as production indexes of the first link;
And for the second link, taking the final evaluation index as a production index of the second link.
In this embodiment, the correlation between the selected indices is evaluated, the repeated or redundant indices are avoided, and the indices that are most representative and independent are retained. Logical relationships between the indicators, such as causal, parallel, or mutually exclusive relationships, are understood. For highly correlated or repetitive indices found, consider simplification or merging. Simplification may be achieved by deleting secondary indicators or merging similar indicators. Merging means creating a composite index to reflect information of multiple highly correlated indices.
In some embodiments of the present application, determining a theoretical value of a production index for each link based on a mining plan, an automation device, and a corresponding automation control system includes:
respectively inputting the mining plan, the automation equipment and corresponding data of the corresponding automation control system into different preset neural network models to obtain a first theoretical value, a second theoretical value and a third theoretical value of the production index of each link;
Determining a difference between the first theoretical production index value and the second theoretical production index value, a difference between the second theoretical production index value and the third theoretical production index value, and a difference between the first theoretical production index value and the third theoretical production index value based on the first theoretical production index value, the second theoretical production index value and the third theoretical production index value;
and determining an integration function according to the three differences, and integrating the first theoretical value of the production index, the second theoretical value of the production index and the third theoretical value of the production index through the integration function to obtain the theoretical value of the production index.
In this embodiment, a suitable integration function is determined by three differences, and three aspects of the mining plan, the automation device and the corresponding automation control system are comprehensively considered to determine a theoretical value of the production index. Different integration functions are set in advance and correspond to different three difference intervals.
Step S104, optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index.
In some embodiments of the present application, optimizing the parameters of the automation control model corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index includes:
For the first link, the production index theoretical values comprise mining amount index theoretical values and other evaluation index theoretical values, and the mining amount index deviation values and other evaluation index deviation values are respectively determined based on the production index theoretical values and the production index actual values;
Determining a total index deviation value through the mining quantity index deviation value and other evaluation index deviation values;
；
wherein P is the total index deviation value, For the weight corresponding to the mining quantity index deviation value,For the theoretical value of the mining quantity index,For the actual value of the mining quantity index,For the weight corresponding to the sum of the deviation values of other evaluation indexes, n is the number of other evaluation indexes,For the conversion coefficient corresponding to the i-th other evaluation index,Is the theoretical value of the i-th other evaluation index,For the i-th other actual value of the evaluation index, exp is an exponential function,As an adjustment function with respect to the mining quantity index deviation value,For the adjustment function with respect to the sum of other evaluation index deviation values,Is a preset constant;
for the second link, determining a total index deviation value through other evaluation index deviation values;
And analyzing the flow of each link, determining a deviation interval, and optimizing the parameters of the automatic control model corresponding to the link according to the deviation interval and the total index deviation value.
In the present embodiment of the present invention,Represents the adjustment of the sum of the mining amount index deviation value and the sum of other evaluation index deviation values.
In this embodiment, the parameters of the automation control model corresponding to the link are optimized according to the deviation interval and the total index deviation value, if the total index deviation value is located within the deviation interval, optimization is not needed, otherwise, the distances between the total index deviation value and the deviation interval correspond to different optimization coefficients, and the parameters of the original automation control model are optimized through the different optimization coefficients.
By applying the technical scheme, collecting the geographical information of the mine, establishing a three-dimensional model of the mine, and customizing a mining plan; analyzing the mining plan to construct a mining site automatic production loop chain, and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain; determining production indexes of each link in a mining site automatic production link chain, and determining production index theoretical values of each link based on a mining plan, automatic equipment and a corresponding automatic control system; and optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index. According to the application, the mining plan is customized by establishing the three-dimensional model of the mining field, so that the accuracy of the mining field model is improved, and the optimization of the mining plan is facilitated. The production index of each link in the link chain of the automatic production of the mining site is determined, the index which effectively reflects the production condition is screened, the automatic control model parameters corresponding to the link are optimized by comparing the theoretical value of the production index with the actual value of the production index, the adaptability of an automatic control model algorithm is ensured, and the stability of the automatic production of the mining site is ensured.
From the above description of the embodiments, it will be clear to those skilled in the art that the present invention may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present invention.
Those skilled in the art will appreciate that the drawing is merely a schematic illustration of a preferred implementation scenario and that the modules or flows in the drawing are not necessarily required to practice the invention.
In order to further explain the technical idea of the invention, the technical scheme of the invention is described with specific application scenarios.
Correspondingly, the application also provides a production optimization system of the open-pit mine, as shown in fig. 2, comprising:
The mining system comprises a first module, a second module and a third module, wherein the first module is used for collecting the geographical information of a mine field, establishing a three-dimensional model of the mine field and customizing a mining plan;
The second module is used for analyzing the mining plan to construct a mining site automatic production loop chain and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain;
The third module is used for determining the production index of each link in the automatic production link chain of the mining site, and determining the theoretical value of the production index of each link based on the mining plan, the automatic equipment and the corresponding automatic control system;
And the fourth module is used for optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index.
Those skilled in the art will appreciate that the modules in the system in the implementation scenario may be distributed in the system in the implementation scenario according to the implementation scenario description, or that corresponding changes may be located in one or more systems different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be appreciated by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not drive the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (4)
1. A method of optimizing production of an open pit mine, comprising:
collecting the geographical information of a mine, establishing a three-dimensional model of the mine, and customizing a mining plan;
Analyzing the mining plan to construct a mining site automatic production loop chain, and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain;
Determining production indexes of each link in a mining site automatic production link chain, and determining production index theoretical values of each link based on a mining plan, automatic equipment and a corresponding automatic control system;
Optimizing the parameters of the automatic control model corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index;
Collecting the geographical information of the mine field, and establishing a three-dimensional model of the mine field, wherein the method comprises the following steps:
the mining site geographic information comprises drilling data and earth surface map filling data, and a drilling database is established through the drilling data;
Inputting a drilling database and earth surface map data into modeling software to generate a fuzzy three-dimensional geologic body, wherein the fuzzy three-dimensional geologic body is composed of known area data and unknown area data;
confirming the distribution uniformity degree and density of the known region data in the fuzzy three-dimensional geologic body;
if the distribution uniformity and density of the known region data in the fuzzy three-dimensional geologic body exceed the corresponding preset values, a first interpolation means is adopted to generate a three-dimensional grid to represent the unknown region data;
otherwise, quantifying the calculation efficiency, calculation cost and interpolation precision of each interpolation means, and determining the duty ratio of the unknown region data in the fuzzy three-dimensional geologic body;
presetting a common mapping relation required by the ratio of unknown region data in the fuzzy three-dimensional geologic body, the calculation efficiency, the calculation cost and the interpolation precision;
taking the interpolation means closest to the requirements of calculation efficiency, calculation cost and interpolation precision in the interpolation means as a second interpolation means, and generating a three-dimensional grid to represent unknown region data;
adjusting the size of the three-dimensional grid, establishing a surface model by combining the three-dimensional grid and surface map data, and establishing a lithology model and a ore body model by combining drilling data and the three-dimensional grid;
the adjusting the three-dimensional grid size includes:
determining the initial size of the three-dimensional grid and a stratum or lithology boundary corresponding to the three-dimensional grid;
defining adjacent grids in the three-dimensional grids, which are identical in stratum lithology boundary or related to the stratum lithology boundary, as a grid unit;
Determining a deviation interval through the correlation degree of the lithology boundary of the grid stratum in the grid unit;
Adjusting the initial size of the three-dimensional grid based on stratum or lithology boundary categories and deviation intervals;
The method for determining the production index theoretical value of each link based on the exploitation plan, the automation equipment and the corresponding automation control system comprises the following steps:
respectively inputting the mining plan, the automation equipment and corresponding data of the corresponding automation control system into different preset neural network models to obtain a first theoretical value, a second theoretical value and a third theoretical value of the production index of each link;
Determining a difference between the first theoretical production index value and the second theoretical production index value, a difference between the second theoretical production index value and the third theoretical production index value, and a difference between the first theoretical production index value and the third theoretical production index value based on the first theoretical production index value, the second theoretical production index value and the third theoretical production index value;
Determining an integration function according to the three differences, and integrating the first theoretical value of the production index, the second theoretical value of the production index and the third theoretical value of the production index through the integration function to obtain the theoretical value of the production index;
The optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index comprises the following steps:
For the first link, the production index theoretical values comprise mining amount index theoretical values and other evaluation index theoretical values, and the mining amount index deviation values and other evaluation index deviation values are respectively determined based on the production index theoretical values and the production index actual values;
Determining a total index deviation value through the mining quantity index deviation value and other evaluation index deviation values;
；
wherein P is the total index deviation value, For the weight corresponding to the mining quantity index deviation value,For the theoretical value of the mining quantity index,For the actual value of the mining quantity index,For the weight corresponding to the sum of the deviation values of other evaluation indexes, n is the number of other evaluation indexes,For the conversion coefficient corresponding to the i-th other evaluation index,Is the theoretical value of the i-th other evaluation index,For the i-th other actual value of the evaluation index, exp is an exponential function,As an adjustment function with respect to the mining quantity index deviation value,For the adjustment function with respect to the sum of other evaluation index deviation values,Is a preset constant;
for the second link, determining a total index deviation value through other evaluation index deviation values;
And analyzing the flow of each link, determining a deviation interval, and optimizing the parameters of the automatic control model corresponding to the link according to the deviation interval and the total index deviation value.
2. The method of production optimization of an open pit mine of claim 1, wherein determining a production indicator for each link in a chain of mine automated production links comprises:
Acquiring an evaluation index related to each link, marking the link with the mining quantity index as a first link, and marking the link without the mining quantity index as a second link;
determining the function realized by each link and the function of the link in the whole mine automatic production link chain, so as to obtain the main function corresponding to the link;
Calculating the relevance degree of each evaluation index and the main function of the link, and carrying out size arrangement to obtain an evaluation index sequence;
And determining production indexes of the first link and the second link respectively through the evaluation index sequence, the first link and the second link.
3. The method of optimizing production of an open pit mine according to claim 2, wherein determining production indexes of the first link and the second link by evaluating the index sequence, the first link and the second link, respectively, comprises:
Determining screening grades according to the main function quantity corresponding to links, and removing the evaluation indexes obtained after the screening grades in the evaluation index sequence to obtain a new evaluation index sequence;
Calculating the correlation degree between the evaluation indexes in the new evaluation index sequence, and analyzing the logic relationship between every two evaluation indexes of which the correlation degree exceeds the corresponding threshold value;
simplifying and combining the evaluation indexes according to the logic relation to obtain a final evaluation index;
For the first link, taking the mining quantity index and the final evaluation index as production indexes of the first link;
And for the second link, taking the final evaluation index as a production index of the second link.
4. A production optimization system for an open pit, employing the production optimization method for an open pit according to any one of claims 1 to 3, characterized by comprising:
The mining system comprises a first module, a second module and a third module, wherein the first module is used for collecting the geographical information of a mine field, establishing a three-dimensional model of the mine field and customizing a mining plan;
The second module is used for analyzing the mining plan to construct a mining site automatic production loop chain and determining automatic equipment and a corresponding automatic control system in the mining site automatic production loop chain;
The third module is used for determining the production index of each link in the automatic production link chain of the mining site, and determining the theoretical value of the production index of each link based on the mining plan, the automatic equipment and the corresponding automatic control system;
And the fourth module is used for optimizing the automatic control model parameters corresponding to the link by comparing the theoretical value of the production index with the actual value of the production index.
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