Geological environment investigation method of open-pit mines based on multi-source data fusion

Abstract

The present invention relates to a method for geological environment investigation of open-pit mines based on multi-source data fusion, and belongs to the technical field of geological environment investigation. The present invention obtains an area where an abnormal geological environment may exist, and deploys monitoring equipment in the area where an abnormal geological environment may exist for monitoring, thereby obtaining monitoring data of the open-pit mine within a preset range through the monitoring equipment, and performing data analysis on the monitoring data of the open-pit mine within the preset range to obtain the data analysis results, and finally constructs a geological environment data tracking model according to the data analysis results, and tracks the geological environment through the geological environment data tracking model, and gives an early warning of the geological environment. The present invention simulates the geological environment evolution of the open-pit mine within the preset area through a dynamic simulation evolution model, and can dynamically analyze the changes in the geological environment within the preset time, thereby improving the rationality of monitoring and reducing the cost of monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of geological environment investigation, and in particular to an open-pit mine geological environment investigation method based on multi-source data fusion. Background Art

[0002] Mining refers to the development and utilization of mineral resources, and mining activities involve many aspects such as residents around the mining area and the natural ecological environment. The development of mineral resources is closely related to the ecological environment. A large amount of toxic substances will be released during the mining process, causing serious harm to the environment. For example, mining will lead to the destruction of vegetation, soil erosion, and the impact on the living environment of plants and animals; causing mine environmental damage, soil pollution, and air pollution. Compared with underground mining, open-pit mining causes more serious damage to the surface ecological environment. Open-pit mining often causes huge, sometimes even devastating damage to the mountains that are the objects of mining, from topography, landforms to soil, rocks, and from landscape systems to ecosystems. When the geological environment is destroyed, it will lead to the occurrence of geological disasters. In the existing technology, some useless work is often done, such as monitoring areas that cannot be polluted, resulting in excessively high costs for monitoring the geological environment of open-pit mines. Summary of the invention

[0003] The present invention overcomes the shortcomings of the prior art and provides a method for investigating the geological environment of an open-pit mine based on multi-source data fusion.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A first aspect of the present invention provides a method for open-pit mining geological environment investigation based on multi-source data fusion, comprising the following steps:

[0006] Acquire multi-source data information of an open-pit mine within a preset range, and construct a dynamic simulation evolution model based on the multi-source data information of the open-pit mine within the preset range;

[0007] Based on the dynamic simulation evolution model, the geological environment of the open-pit mine within a preset range is estimated to obtain areas where abnormal geological environments may exist, and monitoring equipment is deployed in the areas where abnormal geological environments may exist for monitoring;

[0008] Acquiring monitoring data of an open-pit mine within a preset range through monitoring equipment, and acquiring data analysis results by performing data analysis on the monitoring data of the open-pit mine within the preset range;

[0009] A geological environment data tracking model is constructed according to the data analysis results, and the geological environment is tracked and early warning is given to the geological environment through the geological environment data tracking model.

[0010] Furthermore, in the present method, multi-source data information of an open-pit mine within a preset range is obtained, and a dynamic simulation evolution model is constructed by using the multi-source data information of the open-pit mine within the preset range, specifically including:

[0011] Acquire multi-source data information of an open-pit mine within a preset range, and acquire geological structure information of the open-pit mine within the preset range based on the multi-source data information of the open-pit mine within the preset range;

[0012] Constructing a three-dimensional geological structure model based on the geological structure information of the open-pit mine within a preset range, and acquiring influencing factor data related to the geological environment within a preset time based on multi-source data information of the open-pit mine within a preset range;

[0013] Acquire the influencing factor data related to the geological environment in each time stamp according to the influencing factor data related to the geological environment within the preset time, and render the geological structure three-dimensional model according to the influencing factor data related to the geological environment in each time stamp;

[0014] By rendering, the three-dimensional model of the geological structure of each time stamp is obtained, and the three-dimensional model of the geological structure of each time stamp is sorted and dynamically demonstrated in sequence to obtain a dynamic simulation evolution model.

[0015] Furthermore, in this method, based on the dynamic simulation evolution model, the geological environment of the open-pit mine within the preset range is estimated, the area where abnormal geological environment may exist is obtained, and monitoring equipment is deployed in the area where abnormal geological environment may exist for monitoring, which specifically includes:

[0016] By performing geological environment analysis on each rendered area of ​​the dynamic simulation evolution model, geological environment data of the open-pit mine within a preset range is obtained, and a geological environment data threshold is set;

[0017] Determine whether the geological environment data of the open-pit mine within a preset range is greater than the geological environment data threshold; if the geological environment data of the open-pit mine within the preset range is not greater than the geological environment data threshold, the corresponding regional position is regarded as a normal area;

[0018] If the geological environment data of the open-pit mine within a preset range is greater than the geological environment data threshold, the corresponding area will be regarded as an area where abnormal geological environment may exist, and will be displayed in a preset manner, and monitoring equipment will be deployed in the area where abnormal geological environment may exist for monitoring.

[0019] Furthermore, in the method, monitoring data of an open-pit mine within a preset range is obtained by monitoring equipment, and data analysis results are obtained by performing data analysis on the monitoring data of the open-pit mine within the preset range, specifically including:

[0020] Acquire monitoring data of an open-pit mine within a preset range through monitoring equipment, and acquire network fluctuation data information collected from the monitoring data of the open-pit mine within the preset range;

[0021] Evaluate the monitoring data according to the network fluctuation data information collected from the monitoring data of the open-pit mine within a preset range, and obtain the network delay data information of the monitoring data during data collection and transmission;

[0022] Predicting a collection timestamp at the time of data collection based on network delay data information during data collection and transmission of the monitoring data, and updating the timestamp at which the monitoring data is collected, to obtain updated monitoring data of the open-pit mine within a preset range in each timestamp;

[0023] A data analysis result is generated according to the monitoring data of the open-pit mine within a preset range after being updated in each timestamp, and the data analysis result is output.

[0024] Furthermore, in this method, a geological environment data tracking model is constructed according to the data analysis results, and the geological environment is tracked by the geological environment data tracking model, which specifically includes:

[0025] A geological environment data tracking model is constructed based on a multi-layer perceptron neural network, and a data analysis result of each timestamp is obtained, the data analysis result of each timestamp is used as a state vector, and a dimension reduction process is performed on the state vector to obtain a state vector after the dimension reduction process;

[0026] Constructing a state vector matrix after dimensionality reduction processing according to the state vector after dimensionality reduction processing, inputting the state vector matrix after dimensionality reduction processing into a Markov chain for calculation, and calculating a transition probability value of each state vector in the state vector matrix after dimensionality reduction processing transferring to another state vector;

[0027] Setting a transition probability threshold, when the transition probability value is greater than the transition probability threshold, updating the current state vector to another state vector, and updating the state vector matrix after the dimensionality reduction processing;

[0028] When the transition probability value is not greater than the transition probability threshold, the current state vector is maintained unchanged, and the final state vector matrix after dimensionality reduction processing is output, and the final state vector matrix after dimensionality reduction processing is input into the geological environment data tracking model for learning.

[0029] Furthermore, in this method, early warning of the geological environment is carried out, specifically including:

[0030] Tracking is performed through the geological environment data tracking model, and a real-time final state vector matrix after dimensionality reduction processing is obtained, a state vector threshold range is set, and a state vector value of a current timestamp is obtained through the real-time final state vector matrix after dimensionality reduction processing;

[0031] Determine whether the state vector value of the current timestamp is within the state vector threshold range, and when the state vector value of the current timestamp is within the state vector threshold range, reduce the monitoring frequency of the corresponding area;

[0032] When the state vector value of the current timestamp is not within the state vector threshold range, the monitoring frequency of the corresponding area is increased, and an early warning is issued for the corresponding area.

[0033] The second aspect of the present invention provides an open-pit mining geological environment investigation system based on multi-source data fusion, comprising a memory and a processor, wherein the memory comprises an open-pit mining geological environment investigation method program based on multi-source data fusion, and when the open-pit mining geological environment investigation method program based on multi-source data fusion is executed by the processor, any step of the open-pit mining geological environment investigation method based on multi-source data fusion is implemented.

[0034] The third aspect of the present invention provides a computer-readable storage medium, including a method program for investigating the geological environment of an open-pit mine based on multi-source data fusion. When the method program for investigating the geological environment of an open-pit mine based on multi-source data fusion is executed by a processor, the steps of any one of the methods for investigating the geological environment of an open-pit mine based on multi-source data fusion are implemented.

[0035] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0036] The present invention obtains multi-source data information of an open-pit mine within a preset range, and constructs a dynamic simulation evolution model for the multi-source data information of the open-pit mine within the preset range, and then estimates the geological environment of the area within the preset range of the open-pit mine based on the dynamic simulation evolution model, obtains the area where an abnormal geological environment may exist, and deploys monitoring equipment in the area where an abnormal geological environment may exist for monitoring, thereby obtaining the monitoring data of the open-pit mine within the preset range through the monitoring equipment, and performing data analysis results on the monitoring data of the open-pit mine within the preset range, obtaining the data analysis results, and finally constructing a geological environment data tracking model according to the data analysis results, and tracking the geological environment through the geological environment data tracking model, and giving an early warning to the geological environment. The present invention simulates the geological environment evolution of the area within the preset range of the open-pit mine through a dynamic simulation evolution model, and can dynamically analyze the changes in the geological environment within the preset time, so as to select the monitored area, improve the rationality of monitoring, and reduce the cost of monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0038] Figure 1 The overall flow chart of the open-pit mine geological environment investigation method based on multi-source data fusion is shown;

[0039] Figure 2 A partial flow chart of a method for investigating geological environment of an open-pit mine based on multi-source data fusion is shown;

[0040] Figure 3 The system block diagram of the open-pit mine geological environment investigation system based on multi-source data fusion is shown. DETAILED DESCRIPTION

[0041] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0042] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0043] Example 1

[0044] like Figure 1 As shown, the first aspect of the present invention provides a method for geological environment investigation of open-pit mines based on multi-source data fusion, comprising the following steps:

[0045] S102: Acquire multi-source data information of an open-pit mine within a preset range, and construct a dynamic simulation evolution model based on the multi-source data information of the open-pit mine within the preset range;

[0046] S104: Based on the dynamic simulation evolution model, the geological environment of the open-pit mine within the preset range is estimated to obtain the area where the abnormal geological environment may exist, and monitoring equipment is deployed in the area where the abnormal geological environment may exist for monitoring;

[0047] S106: obtaining monitoring data of the open-pit mine within a preset range through monitoring equipment, and obtaining data analysis results by performing data analysis on the monitoring data of the open-pit mine within the preset range;

[0048] S108: Construct a geological environment data tracking model based on the data analysis results, and track the geological environment through the geological environment data tracking model to issue an early warning for the geological environment.

[0049] It should be noted that the present invention simulates the evolution of the geological environment of the open-pit mining area within a preset range through a dynamic simulation evolution model, and can dynamically analyze the changes in the geological environment within a preset time, so as to select the monitored area, thereby improving the rationality of monitoring and reducing the cost of monitoring.

[0050] Furthermore, in the present method, multi-source data information of an open-pit mine within a preset range is obtained, and a dynamic simulation evolution model is constructed by using the multi-source data information of the open-pit mine within the preset range, specifically including:

[0051] Acquire multi-source data information of the open-pit mine within a preset range, and acquire geological structure information of the open-pit mine within the preset range based on the multi-source data information of the open-pit mine within the preset range;

[0052] A three-dimensional geological structure model is constructed based on the geological structure information of the open-pit mine within a preset range, and influencing factor data related to the geological environment within a preset time is obtained based on multi-source data information of the open-pit mine within a preset range;

[0053] Acquire the influencing factor data related to the geological environment in each time stamp according to the influencing factor data related to the geological environment within a preset time, and render the geological structure three-dimensional model according to the influencing factor data related to the geological environment in each time stamp;

[0054] By rendering, the three-dimensional model of the geological structure of each time stamp is obtained, and the three-dimensional model of the geological structure of each time stamp is sorted and dynamically demonstrated in chronological order to obtain a dynamic simulation evolution model.

[0055] It should be noted that the preset range includes time range and space range. The multi-source data information of the open-pit mine within the preset range includes soil permeability information, soil salinity information, terrain data information, meteorological information, etc. The dynamic simulation evolution model of the geological environment characteristics of the open-pit mine within the preset range is simulated through three-dimensional modeling technology combined with the influencing factor data related to the geological environment within the preset time and the terrain structure to form a dynamic analysis to analyze the areas where there may be geological environment anomalies.

[0056] Furthermore, in this method, the geological environment of the open-pit mine within a preset range is estimated based on a dynamic simulation evolution model, the area where abnormal geological environment may exist is obtained, and monitoring equipment is deployed in the area where abnormal geological environment may exist for monitoring, specifically including:

[0057] By performing geological environment analysis on each rendered area of ​​the dynamic simulation evolution model, the geological environment data of the open-pit mine within a preset range is obtained, and a geological environment data threshold is set;

[0058] Determine whether the geological environment data of the open-pit mine within the preset range is greater than the geological environment data threshold. If the geological environment data of the open-pit mine within the preset range is not greater than the geological environment data threshold, the corresponding regional position is regarded as a normal area;

[0059] If the geological environment data of the open-pit mine within the preset range is greater than the geological environment data threshold, the corresponding area will be regarded as an area where abnormal geological environment may exist, and will be displayed in a preset manner, and monitoring equipment will be deployed in the area where abnormal geological environment may exist for monitoring.

[0060] It should be noted that geological environmental anomalies include pollution, abnormal geological structure changes, etc. This method can analyze and obtain abnormal geological areas.

[0061] like Figure 2 As shown, further, in this method, monitoring data of an open-pit mine within a preset range is obtained by a monitoring device, and data analysis results are obtained by performing data analysis on the monitoring data of the open-pit mine within the preset range, specifically including:

[0062] S202: obtaining monitoring data of the open-pit mine within a preset range through monitoring equipment, and obtaining network fluctuation data information collected from the monitoring data of the open-pit mine within the preset range;

[0063] S204: Evaluate the monitoring data according to the network fluctuation data information collected from the monitoring data of the open-pit mine within a preset range, and obtain the network delay data information of the monitoring data during data collection and transmission;

[0064] S206: predicting the collection timestamp at the time of data collection according to the network delay data information at the time of data collection and transmission of the monitoring data, and updating the timestamp at which the monitoring data is collected, and obtaining the updated monitoring data of the open-pit mine within a preset range in each timestamp;

[0065] S208: Generate data analysis results based on the monitoring data of the open-pit mine within a preset range after being updated in each timestamp, and output the data analysis results.

[0066] It should be noted that network fluctuation data information includes information transmission rate, information transmission volume per unit time, bit error rate, etc. This method predicts the collection timestamp at the time of data collection based on the network delay data information of the monitoring data during data collection and transmission, thereby determining the timestamp of the actual collection data, and updating the sorting of the monitoring data in a time series, thereby improving the monitoring accuracy.

[0067] Furthermore, in this method, a geological environment data tracking model is constructed according to the data analysis results, and the geological environment is tracked by the geological environment data tracking model, which specifically includes:

[0068] A geological environment data tracking model is constructed based on a multi-layer perceptron neural network, and the data analysis results of each timestamp are obtained. The data analysis results of each timestamp are used as a state vector, and the state vector is subjected to dimensionality reduction processing to obtain the state vector after dimensionality reduction processing;

[0069] Constructing a state vector matrix after dimensionality reduction processing according to the state vector after dimensionality reduction processing, inputting the state vector matrix after dimensionality reduction processing into the Markov chain for calculation, and calculating the transition probability value of each state vector in the state vector matrix after dimensionality reduction processing transferring to another state vector;

[0070] A transition probability threshold is set. When the transition probability value is greater than the transition probability threshold, the current state vector is updated to another state vector, and the state vector matrix after dimensionality reduction is updated;

[0071] When the transition probability value is not greater than the transition probability threshold, the current state vector is maintained unchanged, and the final state vector matrix after dimensionality reduction processing is output, and the final state vector matrix after dimensionality reduction processing is input into the geological environment data tracking model for learning.

[0072] It should be noted that when the transfer probability value is greater than the transfer probability threshold, the current state vector is updated to another state vector, and the state vector matrix after dimensionality reduction is updated. When the transfer probability value is not greater than the transfer probability threshold, the current state vector is maintained unchanged, and the final state vector matrix after dimensionality reduction is output. This improves the monitoring accuracy of the monitoring data in the target area and makes the monitoring of the geological environment more reasonable.

[0073] Furthermore, in this method, early warning of the geological environment is carried out, specifically including:

[0074] Tracking is performed through the geological environment data tracking model, and the final state vector matrix after dimensionality reduction processing is obtained in real time, the state vector threshold range is set, and the state vector value of the current timestamp is obtained through the final state vector matrix after dimensionality reduction processing in real time;

[0075] Determine whether the state vector value of the current timestamp is within the state vector threshold range. When the state vector value of the current timestamp is within the state vector threshold range, reduce the monitoring frequency of the corresponding area.

[0076] When the state vector value of the current timestamp is not within the state vector threshold range, the monitoring frequency of the corresponding area is increased, and an early warning is issued for the corresponding area.

[0077] In addition, the method further comprises:

[0078] Arrange communication equipment in the mining area of ​​the open-pit mine to enable communication in the mining area of ​​the open-pit mine, build a communication network, obtain active users in the communication network, and obtain a state vector value of a current timestamp;

[0079] When the state vector value of the current timestamp is greater than a preset state vector threshold, the corresponding area is regarded as a dangerous area, and it is determined whether the active user in the communication network is in the dangerous area;

[0080] When the active user in the communication network is in the dangerous area, a real-time three-dimensional terrain model is extracted, and a plurality of escape routes are determined according to the real-time three-dimensional terrain model and the dangerous area;

[0081] The communication mode of the user active in the danger is obtained, a minimum escape route is selected from the escape routes, and the minimum escape route is sent to the communication device terminal according to the communication mode of the user active in the danger.

[0082] It should be noted that this method can identify dangerous areas, thereby formulating excellent escape routes to ensure the safety of users.

[0083] In addition, monitoring equipment is deployed in areas where abnormal geological environments may exist, including:

[0084] Obtain meteorological characteristic data of areas where abnormal geological environments may exist and pollution data of areas where abnormal geological environments may exist through big data, and obtain historical average repair time information under each pollution data (pollution concentration, pollution type, etc.), and obtain predicted repair time information under the pollution data of each area where abnormal geological environments may exist based on the meteorological characteristic data of the areas where abnormal geological environments may exist and the historical average repair time information under each pollution data;

[0085] Acquire the meteorological characteristic data within the predicted repair time information according to the meteorological characteristic data of each area where an abnormal geological environment may exist within the preset time and the predicted repair time information under the pollution data of each area where an abnormal geological environment may exist;

[0086] Obtaining the data collection range of the monitoring equipment under the meteorological characteristic data within the predicted repair time information, and sorting the data collection range of the monitoring equipment under the meteorological characteristic data within the predicted repair time information, and obtaining the smallest data collection range of the monitoring equipment within the predicted repair time information;

[0087] Initialize the number and layout positions of monitoring devices, and deploy monitoring devices in areas where abnormal geological environments may exist according to the smallest data collection range of the monitoring device within the predicted repair time information, the number and layout positions of the monitoring devices;

[0088] Obtain the real-time data collection range. When the real-time data collection range is larger than the area where abnormal geological environment may exist, control shall be carried out according to the number and layout location of monitoring equipment.

[0089] It should be noted that, since the weather is subject to change, by obtaining the data collection coverage of wireless sensors under the meteorological characteristic data within the predicted repair time information, the data collection coverage of monitoring under the minimum meteorological characteristic data within the predicted repair time information is selected as the benchmark, and the number of monitoring equipment and installation location nodes are re-planned, so that the pollution status of the mine can be monitored under any meteorological characteristics, thereby improving the rationality of monitoring.

[0090] Example 2

[0091] like Figure 3 As shown, the second aspect of the present invention provides an open-pit mine geological environment investigation system 4 based on multi-source data fusion, including a memory 41 and a processor 42. The memory 41 includes an open-pit mine geological environment investigation method program based on multi-source data fusion. When the open-pit mine geological environment investigation method program based on multi-source data fusion is executed by the processor 42, the following steps are implemented:

[0092] Acquire multi-source data information of the open-pit mine within a preset range, and construct a dynamic simulation evolution model through the multi-source data information of the open-pit mine within the preset range;

[0093] Based on the dynamic simulation evolution model, the geological environment of the open-pit mine within the preset range is estimated to obtain areas where abnormal geological environments may exist, and monitoring equipment is deployed in areas where abnormal geological environments may exist for monitoring;

[0094] Acquire monitoring data of the open-pit mine within a preset range through monitoring equipment, and obtain data analysis results by performing data analysis on the monitoring data of the open-pit mine within the preset range;

[0095] A geological environment data tracking model is constructed based on the data analysis results, and the geological environment is tracked and early warning is issued through the geological environment data tracking model.

[0096] Furthermore, in the system, multi-source data information of the open-pit mine within a preset range is obtained, and a dynamic simulation evolution model is constructed by using the multi-source data information of the open-pit mine within the preset range, specifically including:

[0097] Acquire multi-source data information of the open-pit mine within a preset range, and acquire geological structure information of the open-pit mine within the preset range based on the multi-source data information of the open-pit mine within the preset range;

[0098] A three-dimensional geological structure model is constructed based on the geological structure information of the open-pit mine within a preset range, and influencing factor data related to the geological environment within a preset time is obtained based on multi-source data information of the open-pit mine within a preset range;

[0099] Acquire the influencing factor data related to the geological environment in each time stamp according to the influencing factor data related to the geological environment within a preset time, and render the geological structure three-dimensional model according to the influencing factor data related to the geological environment in each time stamp;

[0100] By rendering, the three-dimensional model of the geological structure of each time stamp is obtained, and the three-dimensional model of the geological structure of each time stamp is sorted and dynamically demonstrated in chronological order to obtain a dynamic simulation evolution model.

[0101] Furthermore, in this system, the geological environment of the open-pit mine within the preset range is estimated based on the dynamic simulation evolution model, the area where abnormal geological environment may exist is obtained, and monitoring equipment is deployed in the area where abnormal geological environment may exist for monitoring, including:

[0102] By performing geological environment analysis on each rendered area of ​​the dynamic simulation evolution model, the geological environment data of the open-pit mine within a preset range is obtained, and a geological environment data threshold is set;

[0103] Determine whether the geological environment data of the open-pit mine within the preset range is greater than the geological environment data threshold. If the geological environment data of the open-pit mine within the preset range is not greater than the geological environment data threshold, the corresponding regional position is regarded as a normal area;

[0104] If the geological environment data of the open-pit mine within the preset range is greater than the geological environment data threshold, the corresponding area will be regarded as an area where abnormal geological environment may exist, and will be displayed in a preset manner, and monitoring equipment will be deployed in the area where abnormal geological environment may exist for monitoring.

[0105] Furthermore, in the present system, monitoring data of an open-pit mine within a preset range is obtained through monitoring equipment, and data analysis results are obtained by performing data analysis on the monitoring data of the open-pit mine within the preset range, specifically including:

[0106] Obtain monitoring data of the open-pit mine within a preset range through monitoring equipment, and obtain network fluctuation data information collected from the monitoring data of the open-pit mine within the preset range;

[0107] Evaluate the monitoring data based on the network fluctuation data information collected from the monitoring data of the open-pit mine within a preset range, and obtain the network delay data information of the monitoring data during data collection and transmission;

[0108] Predicting the collection timestamp at the time of data collection based on the network delay data information during data collection and transmission of the monitoring data, and updating the timestamp at which the monitoring data is collected, to obtain the updated monitoring data of the open-pit mine within a preset range in each timestamp;

[0109] The data analysis results are generated according to the monitoring data of the open-pit mine within a preset range after being updated in each timestamp, and the data analysis results are output.

[0110] Furthermore, in this system, a geological environment data tracking model is constructed according to the data analysis results, and the geological environment is tracked through the geological environment data tracking model, specifically including:

[0111] A geological environment data tracking model is constructed based on a multi-layer perceptron neural network, and the data analysis results of each timestamp are obtained. The data analysis results of each timestamp are used as a state vector, and the state vector is subjected to dimensionality reduction processing to obtain the state vector after dimensionality reduction processing;

[0112] Constructing a state vector matrix after dimensionality reduction processing according to the state vector after dimensionality reduction processing, inputting the state vector matrix after dimensionality reduction processing into the Markov chain for calculation, and calculating the transition probability value of each state vector in the state vector matrix after dimensionality reduction processing transferring to another state vector;

[0113] A transition probability threshold is set. When the transition probability value is greater than the transition probability threshold, the current state vector is updated to another state vector, and the state vector matrix after dimensionality reduction is updated;

[0114] When the transition probability value is not greater than the transition probability threshold, the current state vector is maintained unchanged, and the final state vector matrix after dimensionality reduction processing is output, and the final state vector matrix after dimensionality reduction processing is input into the geological environment data tracking model for learning.

[0115] Furthermore, in this system, early warning of the geological environment is carried out, including:

[0116] Tracking is performed through the geological environment data tracking model, and the final state vector matrix after dimensionality reduction processing is obtained in real time, the state vector threshold range is set, and the state vector value of the current timestamp is obtained through the final state vector matrix after dimensionality reduction processing in real time;

[0117] Determine whether the state vector value of the current timestamp is within the state vector threshold range. When the state vector value of the current timestamp is within the state vector threshold range, reduce the monitoring frequency of the corresponding area.

[0118] When the state vector value of the current timestamp is not within the state vector threshold range, the monitoring frequency of the corresponding area is increased, and an early warning is issued for the corresponding area.

[0119] Example 3

[0120] The third aspect of the present invention provides a computer-readable storage medium, including an open-pit mine geological environment investigation method program based on multi-source data fusion. When the open-pit mine geological environment investigation method program based on multi-source data fusion is executed by a processor, the technical solution of Example 1 is implemented.

[0121] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0122] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0123] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0124] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0125] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0126] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for geological environment investigation of open-pit mines based on multi-source data fusion, characterized in that: The following steps are involved: Acquire multi-source data information of an open-pit mine within a preset range, and construct a dynamic simulation evolution model based on the multi-source data information of the open-pit mine within the preset range; Based on the dynamic simulation evolution model, the geological environment of the open-pit mine within a preset range is estimated to obtain areas where abnormal geological environments may exist, and monitoring equipment is deployed in the areas where abnormal geological environments may exist for monitoring; Acquiring monitoring data of an open-pit mine within a preset range through monitoring equipment, and acquiring data analysis results by performing data analysis on the monitoring data of the open-pit mine within the preset range; Constructing a geological environment data tracking model according to the data analysis results, and tracking the geological environment through the geological environment data tracking model to provide early warning for the geological environment; Constructing a geological environment data tracking model according to the data analysis results, and tracking the geological environment through the geological environment data tracking model, specifically including: A geological environment data tracking model is constructed based on a multi-layer perceptron neural network, and a data analysis result of each timestamp is obtained, the data analysis result of each timestamp is used as a state vector, and a dimension reduction process is performed on the state vector to obtain a state vector after the dimension reduction process; Constructing a state vector matrix after dimensionality reduction processing according to the state vector after dimensionality reduction processing, inputting the state vector matrix after dimensionality reduction processing into a Markov chain for calculation, and calculating a transition probability value of each state vector in the state vector matrix after dimensionality reduction processing transferring to another state vector; Setting a transition probability threshold, when the transition probability value is greater than the transition probability threshold, updating the current state vector to another state vector, and updating the state vector matrix after the dimensionality reduction processing; When the transition probability value is not greater than the transition probability threshold, the current state vector is maintained unchanged, and the final state vector matrix after dimensionality reduction processing is output, and the final state vector matrix after dimensionality reduction processing is input into the geological environment data tracking model for learning; Early warning of geological environment, including: Tracking is performed through the geological environment data tracking model, and a real-time final state vector matrix after dimensionality reduction processing is obtained, a state vector threshold range is set, and a state vector value of a current timestamp is obtained through the real-time final state vector matrix after dimensionality reduction processing; Determine whether the state vector value of the current timestamp is within the state vector threshold range, and when the state vector value of the current timestamp is within the state vector threshold range, reduce the monitoring frequency of the corresponding area; When the state vector value of the current timestamp is not within the state vector threshold range, the monitoring frequency of the corresponding area is increased, and an early warning is issued for the corresponding area.

2. The method for geological environment investigation of open-pit mines based on multi-source data fusion according to claim 1 is characterized in that: Acquiring multi-source data information of an open-pit mine within a preset range, and constructing a dynamic simulation evolution model based on the multi-source data information of the open-pit mine within the preset range, specifically including: Acquire multi-source data information of an open-pit mine within a preset range, and acquire geological structure information of the open-pit mine within the preset range based on the multi-source data information of the open-pit mine within the preset range; Constructing a three-dimensional geological structure model based on the geological structure information of the open-pit mine within a preset range, and acquiring influencing factor data related to the geological environment within a preset time based on multi-source data information of the open-pit mine within a preset range; Acquire the influencing factor data related to the geological environment in each time stamp according to the influencing factor data related to the geological environment within the preset time, and render the geological structure three-dimensional model according to the influencing factor data related to the geological environment in each time stamp; By rendering, the three-dimensional model of the geological structure of each time stamp is obtained, and the three-dimensional model of the geological structure of each time stamp is sorted and dynamically demonstrated in sequence to obtain a dynamic simulation evolution model.

3. The method for geological environment investigation of open-pit mines based on multi-source data fusion according to claim 1, characterized in that: Based on the dynamic simulation evolution model, the geological environment of the open-pit mine within the preset range is estimated to obtain the area where abnormal geological environment may exist, and monitoring equipment is deployed in the area where abnormal geological environment may exist for monitoring, specifically including: By performing geological environment analysis on each rendered area of ​​the dynamic simulation evolution model, geological environment data of the open-pit mine within a preset range is obtained, and a geological environment data threshold is set; Determine whether the geological environment data of the open-pit mine within a preset range is greater than the geological environment data threshold; if the geological environment data of the open-pit mine within the preset range is not greater than the geological environment data threshold, the corresponding regional position is regarded as a normal area; If the geological environment data of the open-pit mine within a preset range is greater than the geological environment data threshold, the corresponding area will be regarded as an area where abnormal geological environment may exist, and will be displayed in a preset manner, and monitoring equipment will be deployed in the area where abnormal geological environment may exist for monitoring.

4. The method for geological environment investigation of open-pit mines based on multi-source data fusion according to claim 1, characterized in that: Acquiring monitoring data of an open-pit mine within a preset range through monitoring equipment, and performing data analysis on the monitoring data of the open-pit mine within the preset range to obtain data analysis results, specifically including: Acquire monitoring data of an open-pit mine within a preset range through monitoring equipment, and acquire network fluctuation data information collected from the monitoring data of the open-pit mine within the preset range; Evaluate the monitoring data according to the network fluctuation data information collected from the monitoring data of the open-pit mine within a preset range, and obtain the network delay data information of the monitoring data during data collection and transmission; Predicting a collection timestamp at the time of data collection based on network delay data information during data collection and transmission of the monitoring data, and updating the timestamp at which the monitoring data is collected, to obtain updated monitoring data of the open-pit mine within a preset range in each timestamp; A data analysis result is generated according to the monitoring data of the open-pit mine within a preset range after being updated in each timestamp, and the data analysis result is output.

5. The geological environment investigation system for open-pit mines based on multi-source data fusion is characterized by: It comprises a memory and a processor, wherein the memory comprises a program of an open-pit mining geological environment investigation method based on multi-source data fusion, and when the program of the open-pit mining geological environment investigation method based on multi-source data fusion is executed by the processor, the steps of the open-pit mining geological environment investigation method based on multi-source data fusion as described in any one of claims 1 to 4 are implemented.

6. A computer-readable storage medium, characterized in that: It comprises a method program for investigating geological environment of open-pit mines based on multi-source data fusion. When the method program for investigating geological environment of open-pit mines based on multi-source data fusion is executed by a processor, the steps of the method for investigating geological environment of open-pit mines based on multi-source data fusion as described in any one of claims 1 to 4 are implemented.

Images