Four-dimensional imaging and instability early warning method for deep rock mass damage evolution under excavation disturbance

Abstract

The invention relates to the technical field of four-dimensional imaging and instability early warning, in particular to a four-dimensional imaging and instability early warning method for deep rock mass damage evolution under excavation disturbance. According to the method, the three-dimensional model of the mining area is obtained by constructing the three-dimensional model through the rock mass data and the mining data, and the four-dimensional imaging model of the mining area is obtained by performing correlation analysis on the time data and the three-dimensional model, so that the internal damage of the rock mass is visualized under mining disturbance on a mining engineering site; the damage evolution of the stope rock mass influenced by the excavation disturbance is mastered in real time; and the rock mass data and the mining data of the mining area are identified and analyzed to obtain the data state of each data, and the data corresponding to the normal data state is subjected to transmission enhancement analysis, so that the data transmission speed is increased, and the timeliness of the four-dimensional imaging model is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of four-dimensional imaging and instability early warning, and in particular to a four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance. Background Art

[0002] The complex and changeable deep environment places higher demands on the stability of rock masses in deep mining areas and their safety monitoring. Deep rock masses, as both the object of human mining and the object of protection and support for safe mining, their internal bearing state directly determines the stability of deep engineering.

[0003] The fracture mode and damage evolution of deep rock mass are crucial to the stability of the mining site. Due to the heterogeneity and opacity of the rock mass, it is difficult to visualize the internal damage of the rock mass under mining disturbance at the engineering site. Therefore, it is crucial to grasp the damage evolution of the rock mass in the mining site under the influence of mining disturbance in real time for disaster prevention and control of deep rock mass. Summary of the invention

[0004] The present invention provides a four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance, which is used to solve the above-mentioned technical problems.

[0005] The first aspect of the present invention provides a four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance, comprising the following steps:

[0006] Step 1: Data collection in the mining area: rock mass data and mining data in the mining area are collected through a multi-source acquisition unit and stored; rock mass data include rock mass images, lithology data and stress data; mining data include acoustic emission data, drilling data and geophysical data.

[0007] Step 2: Data preprocessing is used to identify and analyze the rock data and mining data in the mining area to obtain the data status corresponding to the rock data and mining data. According to the data status corresponding to the rock data and mining data, the rock data and mining data in abnormal state are removed, the remaining rock data and mining data are marked as normal data, and the normal data is subjected to transmission enhancement analysis.

[0008] As a preferred embodiment of the present invention, the rock mass data and mining data of the mining area are identified and analyzed, and the specific analysis steps are as follows:

[0009] The data parameters corresponding to the rock mass data and mining data of each mining area are obtained by identifying the rock mass data and mining data of each mining area, and the data parameters of the rock mass data and mining data are matched with the parameter intervals corresponding to the set data parameters. When the data parameters of the rock mass data and mining data are not within the parameter interval, the corresponding data parameters are marked as abnormal data, and the number of abnormal data corresponding to each rock mass data and mining data is counted. The number of abnormal data is compared with the total amount of data to obtain a data state impact index, and the data state impact index is compared with a set threshold value. When the data state impact index is greater than the set threshold value, the corresponding rock mass data and mining data are marked as abnormal.

[0010] As a preferred implementation of the present invention, transmission enhancement analysis is performed on normal data, and the specific analysis steps are as follows:

[0011] Obtain data classification of normal data, and construct corresponding data packets for each type of data, obtain the data volume of the data packet, set the data volume of the data packet to multiple data volume intervals, each data volume interval corresponds to a data volume impact value, match the data volume of the current data packet of each type of data with the multiple data volume intervals, and obtain the data volume impact value corresponding to the data volume of the current data packet.

[0012] A preset data volume impact threshold is obtained. When the data volume impact value corresponding to the data volume of a data packet is less than the data volume impact threshold, the corresponding data packet is marked as a normal volume data packet and the transmission operation is directly performed; when the data volume impact value corresponding to the data volume of a data packet is greater than the data volume impact threshold, the corresponding data packet is marked as an excess data packet, and a transmission enhancement analysis is performed on the excess data packet, specifically: the excess data packet is matched with the data volume interval, the collection area corresponding to the excess data packet is identified, the collection area is divided into a plurality of partitions, the partition data volume of each partition corresponding to the excess data packet is obtained, the number of partitions is obtained and the number of partitions is divided into a plurality of partition number intervals, each partition number interval corresponds to a transmission channel opening information, the transmission channel opening information corresponding to the current excess data packet is obtained, and the corresponding transmission channel number is opened according to the transmission channel opening information of the current excess data packet.

[0013] Step three, three-dimensional model construction and analysis, is used to obtain rock mass data and mining data and construct a three-dimensional model based on the rock mass data and mining data to obtain a three-dimensional model of the mining area, and analyze the three-dimensional model of the mining area to obtain the construction quality of the three-dimensional model.

[0014] As a preferred embodiment of the present invention, the three-dimensional model of the mining area is analyzed, and the specific analysis steps are as follows:

[0015] Acquire the position information of each entity in the three-dimensional model, obtain the entity boundary information of each entity according to the position information of the adjacent entities in the three-dimensional model, identify the boundary information of the adjacent entities in the three-dimensional model to obtain the entity gap length, calculate the entity gap length of each adjacent entity in the three-dimensional model with the set gap reference value, and obtain the gap length difference of each adjacent entity in the three-dimensional model;

[0016] Identify each entity of the three-dimensional model to obtain the size of each entity of the three-dimensional model, calculate the volume of each entity according to the size of each entity, compare the volumes of each entity of the three-dimensional model to obtain the model ratio between adjacent entities, and similarly, obtain the display ratio of the actual rock mass according to the rock mass data and the sampling data, calculate the difference between the model ratio between each adjacent entity of the three-dimensional model and the corresponding display ratio, and obtain the entity ratio difference corresponding to each entity of the current three-dimensional model;

[0017] Obtain the model rock formation attributes of the three-dimensional model and divide the model rock formation attributes in the three-dimensional model into multiple detection areas of equal size, match the model rock formation attributes of the three-dimensional model with the multiple detection areas, obtain the model rock formation attributes corresponding to each detection area, and similarly obtain the actual rock formation attributes corresponding to each detection area, overlap and compare the model rock formation attributes corresponding to each detection area with the actual rock formation attributes, mark the detection area where the model rock formation attributes are different from the actual rock formation attributes as a difference area, count the number of difference areas, and calculate the number of difference areas and the total number of detection areas to obtain a difference area proportion index;

[0018] A right triangle is constructed with the gap length difference and the entity proportion difference as the long and short sides. The intersection of the two right-angled sides of the right triangle is used as the starting point. A straight line perpendicular to the right triangle is drawn, and the length of the straight line is equal to the difference area ratio index. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the volume value is marked as the modeling quality impact index.

[0019] A preset modeling quality impact threshold is obtained, and a modeling quality impact index is compared with the modeling quality impact threshold. When the modeling quality impact index is greater than the set threshold, a 3D modeling abnormality instruction is generated.

[0020] Step 4: constructing a four-dimensional imaging model, obtaining the time data and three-dimensional model of the mining area and performing correlation analysis on the time data and the three-dimensional model to obtain a four-dimensional imaging model of the mining area.

[0021] As a preferred implementation of the present invention, correlation analysis is performed on the time data and the three-dimensional model, and the specific analysis steps are as follows:

[0022] The time information of the current monitoring time period is obtained, and the start time point and the end time point of the current monitoring time period are extracted from the time information of the current monitoring time period, and the start time point and the end time point of the corresponding rock mass data and mining data are extracted from the database, and the start time point and the end time point of the current detection time period are matched with the start time point and the end time point of the corresponding rock mass data and mining data to obtain the change data of the rock mass data and mining data corresponding to the start time point and the end time point of the current monitoring time period, and the change information of each entity of the corresponding three-dimensional model is obtained according to the change data of the rock mass data and mining data in the current monitoring time period, and the change information includes but is not limited to stress distribution, displacement and rock type, and the change instructions of each entity of the three-dimensional model are obtained by identifying the change information of each entity of the three-dimensional model corresponding to the change data of the current monitoring time period, and the change instructions of each entity of the three-dimensional model are demonstrated accordingly according to the time information of the monitoring time period.

[0023] Step 5: Damage evolution analysis: Based on the rock mass data and mining data corresponding to the rock mass fracture, the damage evolution of the rock mass fracture is analyzed to obtain the damage mechanism of the rock mass fracture.

[0024] As a preferred embodiment of the present invention, the damage evolution of rock mass fracture is analyzed, and the specific analysis steps are as follows:

[0025] Obtain rock fracture patterns and rock stress data when rocks in the mining area fracture, and analyze the rock fracture process in the monitoring time period: match each rock fracture pattern with the rock stress data to obtain rock stress data corresponding to each rock fracture pattern, the stress data includes stress value and stress direction, and the rock fracture patterns include but are not limited to tension fracture, shear fracture and mixed fracture; match the stress direction with the rock deformation direction, and overlap and compare the rock deformation directions corresponding to the start time point and the end time point of the monitoring time period to obtain the rock deformation direction characteristics corresponding to the stress direction; overlap and compare the rock deformation images at the start time point and the end time point of the current monitoring time period to obtain the rock deformation amount of the current monitoring time period, calculate the rock deformation amount corresponding to the start time point and the end time point of the current monitoring time period with the unit time of the detection time period, and obtain the rock change rate of the current monitoring time period, match the rock change rate with the stress value, and obtain the rock change rate corresponding to the stress value.

[0026] The rock deformation direction characteristics corresponding to the stress direction are correlated with the rock change rate corresponding to the stress value to obtain the rock fracture characteristic information of the monitoring time period. The rock stability and fracture damage evolution trend are obtained based on the rock fracture characteristic information. The rock fracture evolution trend information is obtained based on the current rock stability and fracture damage evolution trend, and the rock stability and fracture damage evolution trend are used as the damage mechanism of rock fracture.

[0027] Step 6: Instability monitoring and early warning: Instability monitoring is performed through the damage mechanism of rock mass rupture to obtain instability monitoring and early warning information of the mining area.

[0028] Step 7: At the data display end, the four-dimensional imaging model is obtained and the corresponding model display is performed, and an early warning is executed according to the instability monitoring early warning information.

[0029] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0030] 1. The present invention constructs a three-dimensional model through rock mass data and mining data to obtain a three-dimensional model of the mining area, and obtains a four-dimensional imaging model of the mining area by correlating time data and the three-dimensional model, so that the internal damage of the rock mass under mining disturbance can be visualized at the mining engineering site, and the damage evolution of the rock mass in the mining area affected by mining disturbance can be grasped in real time.

[0031] 2. The present invention obtains the data status of each data by identifying and analyzing the rock data and mining data in the mining area, and increases the data transmission speed by performing transmission enhancement analysis on the data corresponding to the normal data status, thereby ensuring the timeliness of the four-dimensional imaging model. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0033] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, an embodiment of a four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance includes the following steps:

[0036] Step 1: Data collection in the mining area: rock mass data and mining data in the mining area are collected through a multi-source acquisition unit and stored; rock mass data include rock mass images, lithology data and stress data; mining data include acoustic emission data, drilling data and geophysical data.

[0037] Step 2: Data preprocessing: identify and analyze the rock data and mining data in the mining area to obtain the data status corresponding to the rock data and mining data. According to the data status corresponding to the rock data and mining data, remove the rock data and mining data in abnormal status, mark the remaining rock data and mining data as normal data, and perform transmission enhancement analysis on the normal data.

[0038] The rock mass data and mining data of the mining area are identified and analyzed. The specific analysis steps are as follows:

[0039] The data parameters corresponding to the rock mass data and mining data of each mining area are obtained by identifying the rock mass data and mining data of each mining area, and the data parameters of the rock mass data and mining data are matched with the parameter intervals corresponding to the set data parameters. When the data parameters of the rock mass data and mining data are not within the parameter interval, the corresponding data parameters are marked as abnormal data, and the number of abnormal data corresponding to each rock mass data and mining data is counted. The number of abnormal data is compared with the total amount of data to obtain a data state impact index, and the data state impact index is compared with a set threshold value. When the data state impact index is greater than the set threshold value, the corresponding rock mass data and mining data are marked as abnormal.

[0040] Perform transmission enhancement analysis on normal data. The specific analysis steps are as follows:

[0041] Obtain data classification of normal data, and construct corresponding data packets for each type of data, obtain the data volume of the data packet, set the data volume of the data packet to multiple data volume intervals, each data volume interval corresponds to a data volume impact value, match the data volume of the current data packet of each type of data with the multiple data volume intervals, and obtain the data volume impact value corresponding to the data volume of the current data packet.

[0042] A preset data volume impact threshold is obtained. When the data volume impact value corresponding to the data volume of a data packet is less than the data volume impact threshold, the corresponding data packet is marked as a normal volume data packet and the transmission operation is directly performed; when the data volume impact value corresponding to the data volume of a data packet is greater than the data volume impact threshold, the corresponding data packet is marked as an excess data packet, and a transmission enhancement analysis is performed on the excess data packet, specifically: the excess data packet is matched with the data volume interval, the collection area corresponding to the excess data packet is identified, the collection area is divided into a plurality of partitions, the partition data volume of each partition corresponding to the excess data packet is obtained, the number of partitions is obtained and the number of partitions is divided into a plurality of partition number intervals, each partition number interval corresponds to a transmission channel opening information, the transmission channel opening information corresponding to the current excess data packet is obtained, and the corresponding transmission channel number is opened according to the transmission channel opening information of the current excess data packet.

[0043] Step three, three-dimensional model construction and analysis, is used to obtain rock mass data and mining data and construct a three-dimensional model based on the rock mass data and mining data to obtain a three-dimensional model of the mining area, and analyze the three-dimensional model of the mining area to obtain the construction quality of the three-dimensional model.

[0044] The three-dimensional model of the mining area is analyzed, and the specific analysis steps are as follows:

[0045] The position information of each entity in the three-dimensional model is obtained, and the entity boundary information of each entity is obtained according to the position information of the adjacent entities in the three-dimensional model. The boundary information of the adjacent entities in the three-dimensional model is identified to obtain the entity gap length, and the entity gap length of each adjacent entity in the three-dimensional model is calculated with the set gap reference value to obtain the gap length difference of each adjacent entity in the three-dimensional model.

[0046] The entities of the three-dimensional model are identified to obtain the size of each entity of the three-dimensional model, and the volume of each entity is calculated according to the size of each entity. The volumes of each entity of the three-dimensional model are compared to obtain the model ratio between adjacent entities. Similarly, the display ratio of the actual rock mass is obtained according to the rock mass data and sampling data, and the model ratio between each adjacent entity of the three-dimensional model is calculated and the difference is obtained with the corresponding display ratio to obtain the entity ratio difference corresponding to each entity of the current three-dimensional model.

[0047] The model rock formation properties of the three-dimensional model are obtained and the model rock formation properties in the three-dimensional model are divided into multiple detection areas of equal size. The model rock formation properties of the three-dimensional model are matched with the multiple detection areas to obtain the model rock formation properties corresponding to each detection area. Similarly, the actual rock formation properties corresponding to each detection area are obtained, and the model rock formation properties corresponding to each detection area are overlapped and compared with the actual rock formation properties. The detection areas where the model rock formation properties are different from the actual rock formation properties are marked as difference areas, the number of difference areas is counted, and the number of difference areas is calculated with the total number of detection areas to obtain the difference area proportion index.

[0048] A right triangle is constructed with the gap length difference and the entity proportion difference as the long and short sides. The intersection of the two right-angled sides of the right triangle is used as the starting point. A straight line perpendicular to the right triangle is drawn, and the length of the straight line is equal to the difference area ratio index. A triangular pyramid is then constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the volume value is marked as the modeling quality impact index.

[0049] A preset modeling quality impact threshold is obtained, and a modeling quality impact index is compared with the modeling quality impact threshold. When the modeling quality impact index is greater than the set threshold, a 3D modeling abnormality instruction is generated.

[0050] Step 4: constructing a four-dimensional imaging model, obtaining the time data and three-dimensional model of the mining area and performing correlation analysis on the time data and the three-dimensional model to obtain a four-dimensional imaging model of the mining area.

[0051] The correlation analysis between time data and three-dimensional model is carried out, and the specific analysis steps are as follows:

[0052] The time information of the current monitoring time period is obtained, and the start time point and the end time point of the current monitoring time period are extracted from the time information of the current monitoring time period, and the start time point and the end time point of the corresponding rock mass data and mining data are extracted from the database, and the start time point and the end time point of the current detection time period are matched with the start time point and the end time point of the corresponding rock mass data and mining data to obtain the change data of the rock mass data and mining data corresponding to the start time point and the end time point of the current monitoring time period, and the change information of each entity of the corresponding three-dimensional model is obtained according to the change data of the rock mass data and mining data in the current monitoring time period, and the change information includes but is not limited to stress distribution, displacement and rock type, and the change instructions of each entity of the three-dimensional model are obtained by identifying the change information of each entity of the three-dimensional model corresponding to the change data of the current monitoring time period, and the change instructions of each entity of the three-dimensional model are demonstrated accordingly according to the time information of the monitoring time period.

[0053] Step 5: Damage evolution analysis: Based on the rock mass data and mining data corresponding to the rock mass fracture, the damage evolution of the rock mass fracture is analyzed to obtain the damage mechanism of the rock mass fracture.

[0054] The damage evolution of rock mass fracture is analyzed, and the specific analysis steps are as follows:

[0055] Obtain rock fracture patterns and rock stress data when rocks in the mining area fracture, and analyze the rock fracture process in the monitoring time period: match each rock fracture pattern with the rock stress data to obtain rock stress data corresponding to each rock fracture pattern, the stress data includes stress value and stress direction, and the rock fracture patterns include but are not limited to tension fracture, shear fracture and mixed fracture; match the stress direction with the rock deformation direction, and overlap and compare the rock deformation directions corresponding to the start time point and the end time point of the monitoring time period to obtain the rock deformation direction characteristics corresponding to the stress direction; overlap and compare the rock deformation images at the start time point and the end time point of the current monitoring time period to obtain the rock deformation amount of the current monitoring time period, calculate the rock deformation amount corresponding to the start time point and the end time point of the current monitoring time period with the unit time of the detection time period, and obtain the rock change rate of the current monitoring time period, match the rock change rate with the stress value, and obtain the rock change rate corresponding to the stress value.

[0056] The rock deformation direction characteristics corresponding to the stress direction are correlated with the rock change rate corresponding to the stress value to obtain the rock fracture characteristic information of the monitoring time period. The rock stability and fracture damage evolution trend are obtained based on the rock fracture characteristic information. The rock fracture evolution trend information is obtained based on the current rock stability and fracture damage evolution trend, and the rock stability and fracture damage evolution trend are used as the damage mechanism of rock fracture.

[0057] Step 6: Instability monitoring and early warning: Instability monitoring is performed through the damage mechanism of rock mass rupture to obtain instability monitoring and early warning information of the mining area.

[0058] Step 7: At the data display end, the four-dimensional imaging model is obtained and the corresponding model display is performed, and an early warning is executed according to the instability monitoring early warning information.

[0059] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance, characterized in that: The steps include: Collect rock mass data and mining data in the mining area; Identify and analyze the rock mass data and mining data to obtain the data states corresponding to the rock mass data and mining data, and remove the rock mass data and mining data in abnormal states and mark them as normal data; A three-dimensional model is constructed based on rock mass data and mining data to obtain a three-dimensional model of the mining area, and the three-dimensional model is analyzed to obtain the construction quality of the three-dimensional model; Acquire the time data and the three-dimensional model of the mining area and perform correlation analysis on them to obtain a four-dimensional imaging model of the mining area; The damage evolution of rock mass rupture is analyzed to obtain the damage mechanism of rock mass rupture; Instability monitoring is carried out through the damage mechanism of rock mass rupture to obtain instability monitoring and early warning information of the mining area.

2. The four-dimensional imaging and instability early warning method for deep rock damage evolution under mining disturbance according to claim 1 is characterized in that: The specific analysis steps for identifying and analyzing the rock mass data and mining data of the mining area are as follows: The rock mass data and mining data of each mining area are identified to obtain the data parameters corresponding to the rock mass data and mining data of each mining area, and the data parameters are matched with the corresponding parameter intervals. When the data parameters are not within the parameter interval, they are marked as abnormal data, and the number of abnormal data corresponding to each rock mass data and mining data is counted. The number of abnormal data is compared with the total amount of data to obtain the data state impact index, and compared with the set threshold value. When the data state impact index is greater than the set threshold value, the corresponding rock mass data and mining data are marked as abnormal.

3. The four-dimensional imaging and instability early warning method for deep rock damage evolution under mining disturbance according to claim 1 is characterized in that: The normal data is analyzed, and the specific analysis steps are as follows: Obtain data classification of normal data, and construct corresponding data packets of each type of data, obtain the data volume of the data packets, match the data volume of the current data packets of each type of data with multiple set data volume intervals, and obtain the data volume impact value corresponding to the data volume of the current data packet; When the data volume impact value corresponding to the data volume of a data packet is less than the data volume impact threshold, the corresponding data packet is marked as a normal volume data packet and the transmission operation is directly performed; when the data volume impact value corresponding to the data volume of a data packet is greater than the data volume impact threshold, the corresponding data packet is marked as an excess data packet, and transmission enhancement analysis is performed on the excess data packet.

4. The four-dimensional imaging and instability early warning method for deep rock damage evolution under mining disturbance according to claim 3 is characterized in that: The specific process of performing transmission enhancement analysis on excess data packets is as follows: matching the excess data packets with the data volume interval, identifying the collection area corresponding to the excess data packets, dividing the collection area into multiple partitions, obtaining the partition data volume of each partition corresponding to the excess data packets, obtaining the number of partitions and dividing the number of partitions into multiple partition quantity intervals, each partition quantity interval corresponding to a transmission channel opening information, obtaining the transmission channel opening information corresponding to the current excess data packet, and opening the corresponding transmission channel quantity according to the transmission channel opening information of the current excess data packet.

5. The four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance according to claim 1 is characterized in that: The specific analysis steps for analyzing the three-dimensional model are as follows: The position information of each entity in the three-dimensional model is obtained and analyzed to obtain the gap length difference between each adjacent entity of the three-dimensional model; each entity of the three-dimensional model is identified and analyzed to obtain the entity proportion difference corresponding to each entity of the three-dimensional model; the model rock layer attributes of the three-dimensional model are obtained and analyzed to obtain the difference area proportion index; the modeling quality impact index is analyzed based on the gap length difference, the entity proportion difference and the difference area proportion index; the modeling quality impact index is compared with the set modeling quality impact threshold, and when the modeling quality impact index is greater than the set threshold, a three-dimensional modeling abnormal instruction is generated.

6. The four-dimensional imaging and instability early warning method for deep rock damage evolution under mining disturbance according to claim 1 is characterized in that: The specific analysis steps for performing correlation analysis on the time data and the three-dimensional model are as follows: The time information of the current monitoring time period is obtained, the starting time point and the ending time point of the current monitoring time period are extracted, and matched with the starting time point and the ending time point of the rock mass data and the mining data in the database, and the change data of the rock mass data and the mining data corresponding to the starting time point and the ending time point of the current monitoring time period are obtained, and the change information of each entity of the corresponding three-dimensional model is obtained according to the change data, and the change instructions of each entity of the three-dimensional model are obtained by identifying the change information, and corresponding demonstration is performed according to the change instructions.

7. The four-dimensional imaging and instability early warning method for deep rock mass damage evolution under mining disturbance according to claim 1 is characterized in that: The specific analysis steps for analyzing the damage evolution of the rock mass fracture are as follows: Obtain rock fracture patterns and rock stress data when rocks break in the mining area, and analyze the rock fracture process during the monitoring period: match each rock fracture pattern with the rock stress data to obtain the stress data of the rock corresponding to each rock fracture pattern, where the stress data includes stress value and stress direction; Match the stress direction with the rock deformation direction, and overlap and compare the rock deformation directions corresponding to the starting time point and the ending time point of the monitoring time period to obtain the rock deformation direction characteristics corresponding to the stress direction; overlap and compare the rock deformation images at the starting time point and the ending time point of the current monitoring time period to obtain the rock deformation amount of the current monitoring time period, calculate the rock deformation amount corresponding to the starting time point and the ending time point of the current monitoring time period and the unit time of the detection time period to obtain the rock change rate of the current monitoring time period, match the rock change rate with the stress value, and obtain the rock change rate corresponding to the stress value; The rock deformation direction characteristics corresponding to the stress direction and the rock change rate corresponding to the stress value are correlated to obtain the rock fracture characteristic information of the monitoring time period. The rock stability and fracture damage evolution trend are obtained based on the rock fracture characteristic information. Then, the rock fracture evolution trend information is obtained based on the current rock stability and fracture damage evolution trend. The rock stability and fracture damage evolution trend are used as the damage mechanism of rock fracture.

8. The four-dimensional imaging and instability early warning method for deep rock damage evolution under mining disturbance according to claim 1 is characterized in that: Also includes: The four-dimensional imaging model is obtained and the corresponding model display is performed, and early warning is executed according to the instability monitoring and early warning information.

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