Mine underground flood prevention and control method and system, terminal and storage medium

Abstract

The invention relates to a mine underground flood prevention and control method and system, a terminal and a storage medium. The method comprises the following steps: acquiring target real-time data of a target mine; judging whether the target real-time data meets the corresponding data requirements or not; if not, acquiring a data type corresponding to the target real-time data as dangerous data; based on the danger data, obtaining a target prevention and treatment scheme; if yes, obtaining a historical prevention and treatment record; on the basis of the real-time historical prevention and treatment records, flood disaster frequently-occurring nodes are obtained; judging whether the current time node is a real-time flood frequently-occurring node or not; if the current time node is a real-time flood disaster frequently-occurring node, obtaining a flood disaster type based on the real-time flood disaster frequently-occurring node; based on the flood disease type, obtaining a target prevention and treatment scheme; and performing flood prevention and control on the target mine based on the real-time target prevention and control scheme. According to the method, the corresponding target prevention and treatment scheme can be quickly obtained according to the real-time condition of the mine well, so that constructors have sufficient time to process in advance.

Description

Technical Field

[0001] The present invention belongs to the technical field of mining, and in particular relates to a method, system, terminal and storage medium for preventing and controlling flooding in underground mines. Background Art

[0002] Open-pit to underground mining refers to the method of first using open-pit mining on the upper part and then switching to underground mining on the lower part when the overburden of the ore deposit becomes thinner and extends to a larger extent. During the transition from open-pit to underground mining, there is a gradual decrease in open-pit production and a gradual increase in underground production until the open-pit mine is closed and the underground mine reaches the designed scale. This period of time is called the transition period.

[0003] The mining methods involved in the transition period are more complicated than those in a single period, and whether safe production can be achieved during the transition period also seriously affects the efficiency of mine mining. An important factor affecting mine mining during the transition period is the occurrence of floods in the mine. In related technologies, when a flood occurs, the flood is prevented and controlled by executing relevant established methods. However, once a flood occurs, especially when the flood is more serious, the time left for construction personnel to deal with it is very tight, and it is difficult for mine construction personnel to quickly execute the established method and achieve the expected results.

[0004] The purpose of the present invention is to solve the problem that when flooding occurs in a mine, especially when the flooding is serious, the time left for construction personnel to deal with the problem is very tight, and it is difficult for mine construction personnel to quickly execute the established method and achieve the expected effect. A mine underground flood prevention and control method, system, terminal and storage medium are proposed, aiming to quickly improve the effect of mine underground flood prevention and control. Summary of the invention

[0005] In view of the above problems, the present invention provides a method, system, terminal and storage medium for preventing and controlling underground flooding in mines.

[0006] The specific technical solution is: In a first aspect, the present application provides a method for preventing and controlling underground flooding in a mine, the method comprising: Obtain target real-time data of target mines; Determining whether the target real-time data meets corresponding data requirements; If the target real-time data does not meet the data requirements, the data type corresponding to the target real-time data is obtained as the danger data; based on the danger data, a target prevention and control plan is obtained; If the target real-time data meets the data requirements, then historical prevention and control records are obtained; based on the real-time historical prevention and control records, nodes where floods often occur are obtained; it is determined whether the current time node is a real-time node where floods often occur; if the current time node is a real-time node where floods often occur, the flood type is obtained based on the real-time node where floods often occur; based on the flood type, a target prevention and control plan is obtained; Based on the real-time target prevention and control plan, flood prevention and control is carried out on the target mine.

[0007] Through the above technical scheme, it is first determined whether the target real-time data meets the corresponding data requirements. If not, it indicates that there is an abnormality in the current target real-time data, that is, there is a risk of flooding. Therefore, the data type corresponding to the target real-time data is used as dangerous data, and the corresponding target prevention and control plan is obtained according to the dangerous data, and the mine is prevented and controlled in advance through the target prevention and control plan; if it is satisfied, it indicates that there is no abnormality in the current target real-time data. In order to further determine whether there is a flood risk, the frequent flooding nodes are obtained according to the real-time historical prevention and control records, and it is determined whether the current time node is a real-time frequent flooding node. If so, it indicates that there is a risk of flooding at the current time node. The flood type is obtained according to the real-time frequent flooding node, and the target prevention and control plan is obtained according to the flood type, and the target mine is prevented and controlled in advance.

[0008] The above technical solution first determines whether the target real-time data meets the corresponding data requirements, and selects the corresponding target prevention and control plan according to different judgment results to carry out flood prevention and control for the target mine in advance. The construction personnel have more sufficient time to carry out advance processing, thereby effectively improving the effect of flood prevention and control.

[0009] Further, the target real-time data includes the current load-bearing value and water seepage level; the specific steps of obtaining the target real-time data of the target mine include: Obtaining the current water storage capacity of the target area; obtaining the current bearing value based on the current water storage capacity and the preset mining standard; Obtaining a current target humidity; and obtaining the water seepage level based on the current target humidity and a preset reference standard; The current load-bearing value and the water seepage level are used as the target real-time data.

[0010] Through the above technical scheme, the current bearing value is obtained according to the current water storage capacity and the preset mining standard, and then the seepage level is obtained according to the current target humidity and the preset control standard. Finally, the current bearing value and seepage level are used as target real-time data; monitoring the data that may cause flooding in the mine from multiple aspects helps to improve the comprehensiveness and accuracy of monitoring, thereby improving the effect of flood prevention and control.

[0011] Further, the specific steps of determining whether the target real-time data meets the corresponding data requirements include: Obtaining geological information corresponding to the target area; obtaining target geological conditions based on the geological information; obtaining a maximum bearing value based on the target geological conditions; Determine whether the current load-bearing value is greater than or equal to the maximum load-bearing value; If the current load-bearing value is greater than or equal to the maximum load-bearing value, it is determined that the target real-time data does not meet the corresponding data requirements; If the current load-bearing value is less than the maximum load-bearing value, obtaining a load-bearing value change rate based on the current load-bearing value and the historical load-bearing value; Determining whether the load-bearing value change rate is greater than or equal to a preset change threshold; If the load-bearing value change rate is greater than or equal to the preset change threshold, it is determined that the target real-time data does not meet the corresponding data requirements.

[0012] Through the above technical scheme, the maximum bearing value is obtained according to the target geological conditions, and it is determined whether the current bearing value is greater than or equal to the maximum bearing value. If it is greater than or equal to, it indicates that the gravity above the mine has exceeded its tolerable limit, and there is a risk of flooding. Therefore, it is determined that the target real-time data does not meet the corresponding data requirements; if it is less than, it indicates that the gravity above the mine does not exceed its tolerable limit. In order to further determine whether there is a risk of flooding, the bearing value change rate is obtained, and it is determined whether the bearing value change rate is greater than or equal to the preset change threshold. If so, it indicates that the current bearing value has changed greatly compared with the historical bearing value and has exceeded the normal change range. There is a risk of flooding. Therefore, it is determined that the target real-time data does not meet the corresponding data requirements.

[0013] First, determine whether the current load-bearing value is greater than or equal to the maximum load-bearing value, and then determine whether the load-bearing value change rate is greater than or equal to the preset change threshold. By performing multiple judgments, it is determined whether there is a risk of flooding, and then whether the target real-time data meets the corresponding data requirements. This helps to improve the accuracy and comprehensiveness of the judgment results, facilitates construction personnel to deal with risks in advance, and thus helps to improve the effect of flood prevention and control.

[0014] Further, after determining whether the load-bearing value change rate is greater than or equal to a preset change threshold, the method further includes: If the load-bearing value change rate is less than the preset change threshold, then obtaining the water seepage level threshold corresponding to the target geological condition, and determining whether there is a threshold influencing factor; If the threshold influencing factor exists, re-obtaining the water seepage level threshold based on the water seepage level threshold and the water seepage threshold influencing factor; Determining whether the water seepage level is greater than or equal to the re-acquired water seepage level threshold; If the water seepage level is greater than or equal to the re-acquired water seepage level threshold, it is determined that the target real-time data does not meet the corresponding data requirements; if the water seepage level is less than the re-acquired water seepage level threshold, it is determined that the target real-time data meets the corresponding data requirements.

[0015] Through the above technical scheme, the seepage level threshold value corresponding to the target geological condition is obtained, and it is determined whether there is a threshold influencing factor. If so, it indicates that there are relevant factors that can affect the seepage level threshold value. Therefore, the seepage level threshold value is re-acquired in combination with the threshold influencing factor, which helps to improve the accuracy of the seepage level threshold value; then it is determined whether the seepage level is greater than or equal to the re-acquired seepage level threshold value. If so, it indicates that the degree of seepage is relatively serious and there is a greater risk of flooding. Therefore, it is determined that the target real-time data does not meet the corresponding data requirements; conversely, if not, it indicates that no seepage has occurred or the degree of seepage is not serious, and the risk of flooding is relatively small. Therefore, it is determined that the target real-time data meets the corresponding data requirements.

[0016] Furthermore, the specific steps of determining whether there is a threshold influencing factor include: Based on the target area, determining whether there is a designated construction in the surrounding area; If the designated construction exists, then obtaining the influence of the designated construction on the target area; and determining whether the influence is greater than a preset threshold; If the influence degree is greater than the preset degree threshold, it is determined that the threshold influence factor exists.

[0017] Through the above technical scheme, it is determined whether there are designated construction works in the surrounding areas of the target area. If so, it indicates that the construction works may have an impact on the water seepage level threshold. Therefore, the impact degree of the designated construction works on the target area is further obtained, and it is determined whether the impact degree is greater than the preset level threshold. If so, it indicates that the construction works will indeed have an impact on the water seepage level threshold, so it is determined that there are threshold influencing factors. By determining whether there are designated construction works in the surrounding areas, and determining whether the impact degree of the designated construction works on the target area is greater than the preset level threshold, it is determined whether there are factors affecting the threshold. Combined with the actual situation of the target area, it is helpful to improve the accuracy of the judgment results.

[0018] Further, after determining whether the impact degree is greater than a preset degree threshold, the method further includes: If the designated construction does not exist and / or if the impact level is less than or equal to the preset level threshold, obtaining historical geological disaster records; based on the historical geological disaster records, obtaining the target disaster quantity; Determining whether the target disaster quantity is greater than or equal to a preset quantity threshold; If the target disaster quantity is greater than or equal to the preset quantity threshold, it is determined that the threshold influencing factor exists.

[0019] By adopting the above technical solution, when there is no designated construction or when the degree of impact is less than the preset degree threshold, it indicates that there is no designated construction that affects the water seepage level threshold or the construction will not affect the water seepage level threshold, then the number of target disasters is further obtained, and it is determined whether the number of target disasters is greater than or equal to the preset number threshold. If so, it indicates that target disasters often occur in the target area, and the number is large, which will affect the water seepage level threshold of the target area. Therefore, it is determined that there is a threshold influencing factor; by monitoring the number of target disasters, it is helpful for construction personnel to discover risks in a timely manner and deal with them in advance.

[0020] Further, after determining whether the target disaster quantity is greater than or equal to a preset quantity threshold, the method further includes: If the number of target disasters is less than the preset number threshold, determining whether the target disasters have an occurrence pattern; if the target disasters have an occurrence pattern, obtaining disaster levels corresponding to different target disasters; Determine whether the disaster level exceeds a preset disaster level threshold; If the disaster level exceeds the preset disaster level threshold, it is determined that the threshold influencing factor exists.

[0021] By adopting the above technical scheme, if the number of target disasters is less than the preset number threshold, it indicates that the target disasters occurring in the target area are relatively few and their number is relatively small, which will not affect the water seepage level threshold of the target area. It is further determined whether there is a regularity in the occurrence of the target disasters. If so, the disaster levels corresponding to different target disasters are obtained, and it is determined whether there is a disaster level exceeding the preset disaster level threshold. If so, it is determined that the threshold influencing factor exists. When the target disaster has an occurrence regularity and the disaster level exceeds the preset disaster level threshold, it indicates that there is a risk of flooding. Therefore, it is determined that the threshold influencing factor exists. Through multiple judgments, it helps to improve the accuracy and comprehensiveness of the judgment results, thereby helping to improve the effect of flood prevention and control.

[0022] In a second aspect, the present application also discloses a mine underground flood prevention and control system, the system comprising: A first acquisition module is used to acquire target real-time data of a target mine; A first judgment module is used to judge whether the target real-time data meets the corresponding data requirements; A second acquisition module, if the target real-time data does not meet the data requirements, the second acquisition module is used to acquire the data type corresponding to the target real-time data and use it as dangerous data; A third acquisition module is used to acquire a target prevention and control plan based on the risk data; A first execution module is used to carry out flood prevention and control on the target mine based on a real-time target prevention and control plan; A fourth acquisition module, if the target real-time data meets the data requirements, the fourth acquisition module is used to acquire historical prevention and control records; The fifth acquisition module is used to obtain nodes where floods often occur based on real-time historical prevention and control records; The second judgment module is used to judge whether the current time node is a real-time flood-prone node; A sixth acquisition module, if the current time node is a real-time flood-frequently occurring node, the sixth acquisition module is used to acquire the flood type based on the real-time flood-frequently occurring node; A seventh acquisition module is used to acquire a target prevention and control plan based on the flood type; The second execution module is used to carry out flood prevention and control on the target mine based on a real-time target prevention and control plan.

[0023] By adopting the above technical solution, the target real-time data of the target mine is first obtained by the first acquisition module, and then the first judgment module is used to determine whether the obtained target real-time data meets the corresponding data requirements. If not, the data type corresponding to the target real-time data is obtained by the second acquisition module as dangerous data, and then based on the dangerous data, the target prevention and control plan is obtained by the third acquisition module, and finally based on the real-time target prevention and control plan, the first execution module performs flood prevention and control on the target mine; if it is satisfied, the historical prevention and control record is obtained by the fourth acquisition module, and then based on the real-time historical prevention and control record, the flood-prone node is obtained by the fifth acquisition module, and the second judgment module is used to determine whether the current time node is a real-time flood-prone node; if the current time node is a real-time flood-prone node, the flood type is obtained by the sixth acquisition module, and then the target prevention and control plan is obtained by the seventh acquisition module, and finally based on the real-time target prevention and control plan, the first execution module performs flood prevention and control on the target mine. Through the execution of the prevention and control system, the corresponding target prevention and control plan can be obtained according to multiple judgments, and the target mine can be prevented and controlled in advance, so that the construction personnel have more sufficient time to deal with it in advance, thereby improving the effect of flood prevention and control.

[0024] In a third aspect, the present application provides an intelligent terminal, comprising a memory and a processor, wherein the memory is used to store an underground mine flood prevention and control program that can be run on the processor, and when the processor loads the underground mine flood prevention and control program, it executes any one of the methods described in the first aspect above.

[0025] By adopting the above technical solution, a mine underground flood prevention and control program is generated based on the method described in the first aspect and stored in a memory to be loaded and executed by a processor, thereby making an intelligent terminal based on the memory and the processor for user convenience.

[0026] In a fourth aspect, the present application provides a computer-readable storage medium, in which a mine underground flood control program and a database are stored. When the mine underground flood control program is loaded by a processor, any one of the methods described in the first aspect is executed.

[0027] By adopting the above technical solution, a mine underground flood prevention and control program is generated based on the method described in the first aspect and stored in a computer-readable storage medium so as to be loaded and executed by a processor. The computer-readable storage medium facilitates the reading and storage of the mine underground flood prevention and control program.

[0028] Beneficial effects of the present invention: The present invention monitors data that may cause flooding in the mine shaft, obtains real-time data of the target mine, and then determines whether the real-time data of the target mine meets the pre-set data requirements, thereby determining whether there is a risk of flooding in the mine shaft, and finally obtains the corresponding target prevention and control plan based on the judgment result. This method can not only quickly obtain the corresponding target prevention and control plan according to the real-time situation in the mine shaft, so that the construction personnel have more sufficient time to deal with it in advance, but also in the process of obtaining the target prevention and control plan, by performing multiple judgments, the accuracy and comprehensiveness of the judgment results can be greatly improved, thereby ensuring that the obtained target prevention and control plan has high adaptability, so that it can achieve the expected flood prevention and control effect after implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a general flow chart of a method for preventing and controlling underground flooding in a mine according to Example 1; Figure 2 for Figure 1 The step flow chart of step S101 in FIG. Figure 3 for Figure 1 The step flow chart of step S102; Figure 4 for Figure 3 The step flow chart of step S309; Figure 5 This is a module diagram of a mine underground flood prevention and control system in Example 2; In the figure: 1-first acquisition module, 2-first judgment module, 3-second acquisition module, 4-third acquisition module, 5-first execution module; 6-fourth acquisition module, 7-fifth acquisition module, 8-second judgment module, 9-sixth acquisition module, 10-seventh acquisition module. DETAILED DESCRIPTION

[0030] In order to make the technical problems and technical solutions solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] In order to solve the problem that flooding in mines cannot be handled in time and achieve the expected effect, this application adopts the following scheme: obtain the target real-time data of the target mine; if the target real-time data does not meet the data requirements, obtain the data type corresponding to the target real-time data as dangerous data; based on the dangerous data, obtain the target prevention and control plan; if the target real-time data meets the data requirements, obtain the historical prevention and control records; based on the real-time historical prevention and control records, obtain the nodes where floods often occur; if the current time node is a real-time flood-frequent node, obtain the flood type based on the real-time flood-frequent node; based on the flood type, obtain the target prevention and control plan; finally, based on the real-time target prevention and control plan, carry out flood prevention and control for the target mine. This scheme can ensure that construction personnel have sufficient time to handle in advance, thereby effectively improving the effect of flood prevention and control. Example 1

[0032] like Figure 1 As shown, this embodiment provides a method for preventing and controlling flooding in a mine. Specifically, the method includes the following steps: Step S101: Acquire target real-time data of a target mine; In this embodiment, the target mine is a mine that needs to be flood-prevented, and the target real-time data is real-time data of the target mine, including the current bearing value and water seepage level.

[0033] Step S102: determining whether the target real-time data meets the corresponding data requirements; Specifically, the data requirement is a criterion for judging whether the target real-time data is abnormal or whether it may cause flooding, and different target real-time data corresponds to different data requirements. In this embodiment, the data requirement is preset according to relevant standards, actual conditions and user needs.

[0034] Step S103: if the target real-time data does not meet the data requirement, the data type corresponding to the target real-time data is obtained as dangerous data; In this embodiment, the data type, i.e., the type of target real-time data, may include collapse type and water seepage type, etc. The collapse type is the type of flooding in the mine caused by mine collapse, and the water seepage type is the type of flooding in the mine caused by water seepage; dangerous data is data that has the risk of flooding.

[0035] Step S104: Obtain a target prevention and control plan based on the risk data.

[0036] Specifically, the target prevention and control plan is a plan for preventing and controlling the flood risk existing in the target mine. In this embodiment, a large number of target treatment plans are pre-stored in the database, and the corresponding target treatment plan can be called from the database.

[0037] Step S105: If the target real-time data meets the data requirements, the historical prevention and control records are obtained.

[0038] In this embodiment, the historical prevention and control records are historical records of flood prevention and control in the past.

[0039] Step S106: Based on the real-time historical prevention and control records, obtain nodes where floods frequently occur.

[0040] In this embodiment, the flood-prone node is a time node at which floods are likely to occur or floods often occur.

[0041] Step S107: Determine whether the current time node is a real-time flood-prone node.

[0042] Step S108: If the current time node is a real-time flood-frequently occurring node, the flood type is obtained based on the real-time flood-frequently occurring node.

[0043] In this embodiment, the flood types may also include collapse type and water seepage type, and the collapse type and water seepage type in the other data types correspond one to one.

[0044] Step S109: Based on the flood type, obtain a target prevention and control plan.

[0045] Step S110: Based on the real-time target prevention and control plan, flood prevention and control is carried out on the target mine.

[0046] The mine underground flood prevention method provided in this embodiment determines whether the target real-time data meets the corresponding data requirements. If not, it indicates that the current target real-time data is abnormal, that is, there is a risk of flooding. Therefore, the data type corresponding to the target real-time data is used as dangerous data, and the corresponding target prevention and control plan is obtained according to the dangerous data, and the mine is flooded in advance through the target prevention and control plan; if it is satisfied, it indicates that there is no abnormality in the current target real-time data. In order to further determine whether there is a flood risk, the flood-prone node is obtained according to the real-time historical prevention and control records, and it is determined whether the current time node is a real-time flood-prone node. If so, it indicates that there is a risk of flooding at the current time node. The flood type is obtained according to the real-time flood-prone node, and the target prevention and control plan is obtained according to the flood type, and the target mine is flooded in advance. First, determine whether the target real-time data meets the corresponding data requirements, and select the corresponding target prevention and control plan according to different judgment results to carry out flood prevention and control for the target mine in advance. Construction personnel have more sufficient time to carry out advance processing, thereby effectively improving the effect of flood prevention and control.

[0047] like Figure 2 As shown, in one implementation of this embodiment, the specific steps of obtaining the target real-time data of the target mine in step S101 include: Step S201: Obtain the current water storage capacity of the target area.

[0048] Specifically, the target area is the area where the pit is left by open-pit mining, and the current water storage capacity is the water storage capacity in the pit. In this embodiment, when open-pit mining is carried out, the capacity of the pit is calculated and a corresponding water level gauge is set, and the current water storage capacity can be obtained according to the water level gauge.

[0049] Step S202: Based on the current water storage volume and the preset mining standard, the current bearing value is obtained.

[0050] Specifically, the preset mining standard is a pre-set standard for converting open pit to underground mining, including the distance between the open pit and the underground pit, and the weight of the soil (stone) above the pit and below the pit can be calculated according to the size of the target area. In this embodiment, the density of the soil (stone) can be calculated by weighted average of the density of the top three soils (stones) by volume and the corresponding volume proportion, and then the weight of the water body is calculated by the water storage capacity. The current load-bearing value is the sum of the weight of the soil (stone) and the weight of the water body.

[0051] Step S203: Obtain the current target humidity.

[0052] Specifically, the current target humidity is the humidity of the soil (stone) on the inner wall of the mine. In this embodiment, humidity sampling points can be set at multiple different positions, and then the current target humidity can be monitored by a humidity sensor.

[0053] Step S204: Obtaining the water seepage level based on the current target humidity and a preset reference standard.

[0054] Specifically, the preset comparison standard is a preset comparison standard between the current target humidity and the water seepage level, and the water seepage level is a level used to characterize the degree of water seepage. In this embodiment, the water seepage level can be divided according to relevant standards or according to actual needs of users.

[0055] Step S205: taking the current load-bearing value and water seepage level as target real-time data.

[0056] The method for preventing and controlling underground mine floods provided in this embodiment obtains the current bearing value based on the current water storage capacity and the preset mining standard, and then obtains the water seepage level based on the current target humidity and the preset control standard, and finally uses the current bearing value and water seepage level as the target real-time data; monitoring the data that may cause underground mine floods from multiple aspects helps to improve the comprehensiveness and accuracy of monitoring, thereby improving the flood prevention and control effect.

[0057] like Figure 3 As shown, in one implementation of this embodiment, the specific steps of step S102 for determining whether the target real-time data meets the corresponding data requirements include: Step S301: Acquire geological information corresponding to the target area.

[0058] In this embodiment, the target area is the area where the target mine is located, and the geological information is the geological related information corresponding to the target area.

[0059] Step S302: Based on the geological information, obtain target geological conditions.

[0060] In this embodiment, the target geological conditions include the topography, lithology, geological structure and geological type of the area where the target mine is located.

[0061] Step S303: Based on the target geological conditions, obtain the maximum bearing value.

[0062] In this embodiment, the maximum load-bearing value is the maximum gravity value that the mine can withstand. The maximum load-bearing value varies according to different geological types.

[0063] Step S304: Determine whether the current load-bearing value is greater than or equal to the maximum load-bearing value.

[0064] Step S305: If the current load-bearing value is greater than or equal to the maximum load-bearing value, it is determined that the target real-time data does not meet the corresponding data requirements.

[0065] Step S306: If the current load-bearing value is less than the maximum load-bearing value, the load-bearing value change rate is obtained based on the current load-bearing value and the historical load-bearing value.

[0066] In this embodiment, the target real-time data is sampled according to the sampling time, so there are corresponding load-bearing values ​​at different sampling times, and all load-bearing values ​​except the current load-bearing value are historical load-bearing values; the load-bearing value change rate, that is, the rate of change of the load-bearing value, is calculated based on the current load-bearing value and the historical load-bearing value per unit time. In this embodiment, the three most recent historical load-bearing values ​​and the current load-bearing value can be selected for calculation.

[0067] Step S307: Determine whether the load-bearing value change rate is greater than or equal to a preset change threshold; if the load-bearing value change rate is greater than or equal to the preset change threshold, it is determined that the target real-time data does not meet the corresponding data requirements.

[0068] In this embodiment, the preset change threshold is a pre-set criterion for determining whether the load-bearing change rate is too large.

[0069] The mine underground flood prevention and control method provided in the present embodiment obtains the maximum bearing value according to the target geological conditions, and determines whether the current bearing value is greater than or equal to the maximum bearing value. If it is greater than or equal to, it indicates that the gravity borne above the mine has exceeded the limit it can bear, and there is a risk of flooding. Therefore, it is determined that the target real-time data does not meet the corresponding data requirements; if it is less than, it indicates that the gravity borne above the mine does not exceed the limit it can bear. In order to further determine whether there is a risk of flooding, the bearing value change rate is obtained, and it is determined whether the bearing value change rate is greater than or equal to the preset change threshold. If so, it indicates that the current bearing value has changed greatly compared with the historical bearing value and has exceeded the normal change range. There is a risk of flooding. Therefore, it is determined that the target real-time data does not meet the corresponding data requirements.

[0070] First, determine whether the current load-bearing value is greater than or equal to the maximum load-bearing value, and then determine whether the load-bearing value change rate is greater than or equal to the preset change threshold. By performing multiple judgments, it is determined whether there is a risk of flooding, and then whether the target real-time data meets the corresponding data requirements. This helps to improve the accuracy and comprehensiveness of the judgment results, making it easier for construction personnel to deal with risks in advance, thereby effectively improving the flood prevention and control effects.

[0071] like Figure 3 As shown, in one implementation of this embodiment, in step S307, determining whether the load-bearing value change rate is greater than or equal to a preset change threshold further includes: Step S308: If the load-bearing value change rate is less than the preset change threshold, the water seepage level threshold corresponding to the target geological condition is obtained.

[0072] Specifically, the water seepage level threshold is the maximum water seepage level that can be allowed under the target geological conditions. In this embodiment, the water seepage level threshold is related to the target geological conditions.

[0073] Step S309: Determine whether there is a threshold influencing factor.

[0074] Specifically, the threshold influencing factor is a factor that affects the water seepage level threshold. In this embodiment, it refers to whether the threshold influencing factor exists in the area where the target mine is located.

[0075] Step S310: if there is a threshold influencing factor, the water seepage level threshold is re-acquired based on the water seepage level threshold and the water seepage threshold influencing factor.

[0076] Step S311: determining whether the water seepage level is greater than or equal to the re-acquired water seepage level threshold.

[0077] If the water seepage level is greater than or equal to the re-acquired water seepage level threshold, it is determined that the target real-time data does not meet the corresponding data requirements; if the water seepage level is less than the re-acquired water seepage level threshold, it is determined that the target real-time data meets the corresponding data requirements.

[0078] The mine underground flood prevention and control method provided in this embodiment obtains the water seepage level threshold value corresponding to the target geological conditions, and determines whether there is a threshold influencing factor. If so, it indicates that there are relevant factors that can affect the water seepage level threshold value. Therefore, re-obtaining the water seepage level threshold value in combination with the threshold influencing factor is helpful to improve the accuracy of the water seepage level threshold value; then determine whether the water seepage level is greater than or equal to the water seepage level threshold value. If so, it indicates that the water seepage degree is relatively serious and there is a greater risk of flooding. Therefore, it is determined that the target real-time data does not meet the corresponding data requirements; on the contrary, if not, it indicates that no water seepage phenomenon has occurred or the water seepage degree is not serious, and the risk of flooding is relatively small. Therefore, it is determined that the target real-time data meets the corresponding data requirements. When there are threshold influencing factors, re-obtaining the seepage level threshold in combination with the threshold influencing factors helps to improve the accuracy of the seepage level threshold and promptly notify construction personnel to handle risks, thereby improving the flood prevention and control effect.

[0079] like Figure 4 As shown, in one implementation of this embodiment, the specific steps of step S309 for determining whether there is a threshold influencing factor include: Step S401: Based on the target area, determine whether there is a designated construction in the surrounding area.

[0080] Specifically, the designated construction works are pre-designated construction works that may affect the water seepage level threshold, such as quarries, mines, and other construction works that require blasting or cause strong vibrations in the surrounding areas of the target mines. In this embodiment, the surrounding area may be within a radius of 1 kilometer or other range areas.

[0081] Step S402: If there is a designated construction, the impact of the designated construction on the target area is obtained.

[0082] Specifically, in this embodiment, the degree of impact of the designated construction on the target area is related to the distance and vibration amplitude. In this embodiment, the degree of impact can be divided into mild, moderate and severe. If the distance between the designated construction and the target area is less than or equal to 100 meters, the degree of impact is severe; if the distance between the designated construction and the target area is greater than 100 meters and less than or equal to 500 meters, the degree of impact is moderate; if the distance between the designated construction and the target area is greater than 500 meters, the degree of impact is mild; the specific values ​​can be set or changed according to user needs and actual conditions.

[0083] In addition, if the vibration amplitude is greater than or equal to 1.5cm, the impact is severe; if the impact is greater than or equal to 1cm and less than 1.5cm, the impact is moderate; if the impact is less than 1cm, the impact is mild; the specific values ​​can be set or changed according to user needs and actual conditions.

[0084] Step S403: Determine whether the impact degree is greater than a preset threshold.

[0085] In this embodiment, the preset degree threshold is a pre-set criterion for determining whether the degree of impact will have an impact on the target area or whether the impact caused can be ignored. The preset degree threshold can be set to mild, or can be set or replaced according to user needs and actual conditions.

[0086] Step S404: If the influence degree is greater than the preset threshold, it is determined that a threshold influence factor exists.

[0087] The mine underground flood prevention and control method provided in this embodiment determines whether there are designated construction works in the surrounding areas of the target area. If so, it indicates that the construction works may affect the water seepage level threshold. Therefore, the degree of influence of the designated construction works on the target area is further obtained, and it is determined whether the degree of influence is greater than the preset degree threshold. If so, it indicates that the construction works will indeed affect the water seepage level threshold, so it is determined that there are threshold influencing factors. By determining whether there are designated construction works in the surrounding areas, and determining whether the degree of influence of the designated construction works on the target area is greater than the preset degree threshold, it is determined whether there are influencing threshold factors. Combined with the actual situation of the target area, it is helpful to improve the accuracy of the judgment result.

[0088] like Figure 4 As shown, in one implementation of this embodiment, determining whether the impact degree is greater than a preset degree threshold in step S309 also includes: Step S405: If there is no designated construction and / or if the impact level is less than or equal to a preset level threshold, then obtain historical geological disaster records.

[0089] In this embodiment, the historical geological disaster records are the records of geological disasters that have occurred in the area (city or county) where the target mine is located. Records, such as earthquake records, flood records, and landslide records, are made every time a geological disaster occurs.

[0090] Step S406: Based on historical geological disaster records, obtain the target disaster quantity.

[0091] Specifically, the target disaster quantity is the number of geological disasters occurring in the area where the target mine is located. In this embodiment, data within the last 5 or 10 years may be selected.

[0092] Step S407: Determine whether the target disaster quantity is greater than or equal to a preset quantity threshold; if the target disaster quantity is greater than or equal to the preset quantity threshold, determine that there is a threshold influencing factor.

[0093] In this embodiment, the preset quantity threshold is a pre-set criterion for determining whether the number of target disasters is too large.

[0094] The method for preventing and controlling underground floods in mines provided in this embodiment, when there is no designated construction and / or when the degree of influence is less than or equal to the preset degree threshold, indicates that there is no designated construction that affects the water seepage level threshold or the construction will not affect the water seepage level threshold, further obtains the number of target disasters, and determines whether the number of target disasters is greater than or equal to the preset number threshold. If so, it indicates that the target disasters often occur in the target area, and the number is large, which will affect the water seepage level threshold of the target area, so it is determined that there is a threshold influencing factor; when the number of target disasters is greater than or equal to the preset number threshold, it indicates that the target disasters often occur in the mine, and therefore it is easy to affect the water seepage level threshold. By monitoring the number of target disasters, it is helpful for construction personnel to discover risks in a timely manner and deal with them in advance.

[0095] like Figure 4 As shown, in one implementation of this embodiment, in step S407, determining whether the target disaster quantity is greater than or equal to the preset quantity threshold further includes: Step S408: If the number of target disasters is less than a preset number threshold, it is determined whether there is a regularity in the occurrence of the target disasters.

[0096] In this embodiment, the occurrence rule may be a time rule or other rules.

[0097] Step S409: If the target disasters have a regular occurrence pattern, the disaster levels corresponding to different target disasters are obtained.

[0098] In this embodiment, the disaster level is set according to the degree of destruction or impact of the target disaster, and the degree of destruction or impact can be determined according to relevant standards.

[0099] Step S410: Determine whether there is a disaster level exceeding a preset disaster level threshold; if there is a disaster level exceeding the preset disaster level threshold, determine that there is a threshold influencing factor.

[0100] In this embodiment, the preset disaster level threshold is a pre-set judgment standard for judging whether the target disaster will affect the water seepage level threshold according to the target disaster level.

[0101] The mine underground flood prevention and control method provided in this embodiment, if the number of target disasters is less than the preset number threshold, it indicates that the target disasters occurring in the target area are small and their number is small, which will not affect the water seepage level threshold of the target area. It is further determined whether there is a regularity in the occurrence of the target disasters. If so, the disaster levels corresponding to different target disasters are obtained, and it is determined whether there is a disaster level exceeding the preset disaster level threshold. If so, it is determined that there is a threshold influencing factor. When the target disaster has an occurrence regularity and the disaster level exceeds the preset disaster level threshold, it indicates that there is a risk of flooding, so it is determined that there is a threshold influencing factor. Through multiple judgments, it helps to improve the accuracy and comprehensiveness of the judgment results, thereby helping to improve the flood prevention and control effect.

[0102] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. Example 2

[0103] like Figure 5 As shown, corresponding to the above-mentioned method for preventing and controlling underground floods in a mine, this embodiment further provides a system for preventing and controlling underground floods in a mine, including: The first acquisition module 1 is used to acquire target real-time data of a target mine; The first judgment module 2 is used to judge whether the target real-time data meets the corresponding data requirements; The second acquisition module 3 is used to acquire the data type corresponding to the target real-time data as dangerous data if the target real-time data does not meet the data requirements; The third acquisition module 4 is used to obtain a target prevention and control plan based on the risk data; The first execution module 5 is used to carry out flood prevention and control on the target mine based on the real-time target prevention and control plan; The fourth acquisition module 6 is used to acquire historical prevention and control records if the target real-time data meets the data requirements; The fifth acquisition module 7 is used to obtain nodes where floods often occur based on real-time historical prevention and control records; The second judgment module 8 is used to judge whether the current time node is a real-time flood-prone node; The sixth acquisition module 9 is used to acquire the flood type based on the real-time flood-frequently-occurring node if the current time node is a real-time flood-frequently-occurring node; The seventh acquisition module 10 is used to acquire a target prevention and control plan based on the flood type.

[0104] As can be seen from the above, this embodiment provides a mine underground flood prevention system, which obtains the target real-time data of the target mine through the first acquisition module 1, and then determines whether the obtained target real-time data meets the corresponding data requirements through the first judgment module 2. If not, the data type corresponding to the target real-time data is obtained by the second acquisition module 3 as dangerous data, and then based on the dangerous data, the target prevention and control plan is obtained through the third acquisition module 4, and finally based on the real-time target prevention and control plan, the first execution module 5 performs flood prevention and control on the target mine; if satisfied, the historical prevention and control record is obtained by the fourth acquisition module 6, and then based on the real-time historical prevention and control record, the flood-prone node is obtained through the fifth acquisition module 7, and the second judgment module 8 determines whether the current time node is a real-time flood-prone node; if the current time node is a real-time flood-prone node, the flood type is obtained by the sixth acquisition module 9, and then the target prevention and control plan is obtained by the seventh acquisition module 10, and finally based on the real-time target prevention and control plan, the first execution module 5 performs flood prevention and control on the target mine. Through the execution of this prevention and control system, the corresponding target prevention and control plan can be obtained based on multiple judgments, and flood prevention and control can be carried out in the target mine in advance, so that construction personnel have more sufficient time to carry out advance processing, thereby improving the effect of flood prevention and control.

[0105] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the above-mentioned system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding description in the above-mentioned method for preventing and controlling underground floods in mines, which will not be repeated here. Example 3

[0106] Based on the above embodiments, an embodiment of the present application provides an intelligent terminal, including a memory and a processor, wherein the memory is used to store an underground mine flood prevention and control program that can be run on the processor, and when the processor loads the underground mine flood prevention and control program, it executes any one of the above-mentioned underground mine flood prevention and control methods.

[0107] Specifically, a mine underground flood prevention program is generated based on a mine underground flood prevention method and stored in a memory to be loaded and executed by a processor, thereby making an intelligent terminal based on the memory and the processor for user convenience. Example 4

[0108] Based on the above embodiments, an embodiment of the present application provides a computer-readable storage medium, in which a mine underground flood control program and a database are stored. When the mine underground flood control program is loaded by a processor, any one of the above-mentioned mine underground flood control methods is executed.

[0109] Specifically, an underground mine flood prevention program is generated based on an underground mine flood prevention method and stored in a computer-readable storage medium to be loaded and executed by a processor. The computer-readable storage medium facilitates the reading and storage of the underground mine flood prevention program.

[0110] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0111] The present invention is described in detail above through specific and preferred embodiments, but those skilled in the art should understand that the present invention is not limited to the embodiments described above, and any modifications, equivalent substitutions, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for preventing and controlling underground flooding in a mine, characterized in that: The method comprises: Obtain target real-time data of target mines; Determine whether the target real-time data meets the corresponding data requirements; If the target real-time data does not meet the data requirements, the data type corresponding to the target real-time data is obtained as the danger data; based on the danger data, a target prevention and control plan is obtained; If the target real-time data meets the data requirements, then obtain the historical prevention and control records; based on the real-time historical prevention and control records, obtain the nodes where floods often occur; if the current time node is a real-time node where floods often occur, then obtain the flood type based on the real-time node where floods often occur; based on the flood type, obtain the target prevention and control plan; Based on the real-time target prevention and control plan, flood prevention and control is carried out on the target mine.

2. A method for preventing and controlling underground flooding in a mine according to claim 1, characterized in that: The target real-time data includes current load-bearing value and water seepage level; The specific steps of obtaining the target real-time data of the target mine include: Obtaining the current water storage capacity of the target area; obtaining the current bearing value based on the current water storage capacity and the preset mining standard; Obtaining a current target humidity; and obtaining the water seepage level based on the current target humidity and a preset reference standard; The current load-bearing value and the water seepage level are used as the target real-time data.

3. A method for preventing and controlling underground flooding in a mine according to claim 1, characterized in that: The specific steps of determining whether the target real-time data meets the corresponding data requirements include: Obtaining geological information corresponding to the target area; obtaining target geological conditions based on the geological information; obtaining a maximum bearing value based on the target geological conditions; Determine whether the current load-bearing value is greater than or equal to the maximum load-bearing value; If the current load-bearing value is greater than or equal to the maximum load-bearing value, it is determined that the target real-time data does not meet the corresponding data requirements; If the current load-bearing value is less than the maximum load-bearing value, obtaining a load-bearing value change rate based on the current load-bearing value and the historical load-bearing value; Determining whether the load-bearing value change rate is greater than or equal to a preset change threshold; If the load-bearing value change rate is greater than or equal to the preset change threshold, it is determined that the target real-time data does not meet the corresponding data requirements.

4. A method for preventing and controlling underground flooding in a mine according to claim 3, characterized in that: After determining whether the load-bearing value change rate is greater than or equal to a preset change threshold, the method further includes: If the load-bearing value change rate is less than the preset change threshold, then obtaining the water seepage level threshold corresponding to the target geological condition, and determining whether there is a threshold influencing factor; If the threshold influencing factor exists, re-obtaining the water seepage level threshold based on the water seepage level threshold and the water seepage threshold influencing factor; Determining whether the water seepage level is greater than or equal to the re-acquired water seepage level threshold; If the water seepage level is greater than or equal to the re-acquired water seepage level threshold, it is determined that the target real-time data does not meet the corresponding data requirement; If the water seepage level is less than the re-acquired water seepage level threshold, it is determined that the target real-time data meets the corresponding data requirement.

5. A method for preventing and controlling underground flooding in a mine according to claim 4, characterized in that: The specific steps of determining whether there is a threshold influencing factor include: Based on the target area, determining whether there is a designated construction in the surrounding area; If the designated construction works exist, then obtaining the influence degree of the designated construction works on the target area; Determining whether the impact degree is greater than a preset degree threshold; If the influence degree is greater than the preset degree threshold, it is determined that the threshold influence factor exists.

6. A method for preventing and controlling underground flooding in a mine according to claim 5, characterized in that: After determining whether the impact degree is greater than a preset degree threshold, the method further includes: If the designated construction does not exist and / or if the impact level is less than or equal to the preset level threshold, obtaining historical geological disaster records; based on the historical geological disaster records, obtaining the target disaster quantity; Determining whether the target disaster quantity is greater than or equal to a preset quantity threshold; If the target disaster quantity is greater than or equal to the preset quantity threshold, it is determined that the threshold influencing factor exists.

7. A method for preventing and controlling underground flooding in a mine according to claim 6, characterized in that: After determining whether the target disaster quantity is greater than or equal to a preset quantity threshold, the method further includes: If the number of target disasters is less than the preset number threshold, determining whether the target disasters have an occurrence pattern; if the target disasters have an occurrence pattern, obtaining disaster levels corresponding to different target disasters; Determine whether the disaster level exceeds a preset disaster level threshold; If the disaster level exceeds the preset disaster level threshold, it is determined that the threshold influencing factor exists.

8. A mine underground flood prevention system, characterized in that: The system comprises: A first acquisition module (1) is used to acquire target real-time data of a target mine; A first judgment module (2) is used to judge whether the target real-time data meets the corresponding data requirements; A second acquisition module (3), if the target real-time data does not meet the data requirements, the second acquisition module is used to acquire the data type corresponding to the target real-time data and use it as dangerous data; A third acquisition module (4) is used to acquire a target prevention and control plan based on the risk data; A first execution module (5) is used to carry out flood prevention and control on the target mine based on a real-time target prevention and control plan; A fourth acquisition module (6), if the target real-time data meets the data requirements, the fourth acquisition module is used to acquire historical prevention and control records; A fifth acquisition module (7) is used to acquire nodes where floods frequently occur based on real-time historical prevention and control records; The second judgment module (8) is used to judge whether the current time node is a real-time flood-prone node; A sixth acquisition module (9), if the current time node is a real-time flood-frequently occurring node, the sixth acquisition module is used to acquire the flood type based on the real-time flood-frequently occurring node; The seventh acquisition module (10) is used to acquire a target prevention and control plan based on the flood type.

9. An intelligent terminal, comprising a memory and a processor, characterized in that: It comprises a memory and a processor, wherein the memory is used to store a mine underground flood prevention and control program that can be run on the processor, and when the processor loads the mine underground flood prevention and control program, it executes the method described in any one of claims 1-7.

10. A computer-readable storage medium, wherein the computer-readable storage medium stores a mine underground flood prevention program and a database, wherein when the mine underground flood prevention program is loaded by a processor, the method described in any one of claims 1 to 7 is executed.

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