Mine management device and mine management method

Abstract

To provide a mine management device and a mine management method that can present alert information for a mining machine in a manner that can improve the maintenance of the mining machine.SOLUTION: A mine management device 2 includes a storage device 10 in which alert data and maintenance data for a mining machine 101 are stored, and an information processing device 20 that collects the alert data and maintenance data, records them in the storage device 10, processes them, and outputs them to a terminal device 3. The information processing device 20 links the alert data and the maintenance data so that all alerts issued during the operation period of the mining machine 101 prior to each maintenance task for the mining machine 101 are associated with that maintenance task, calculates a degree of association that is an index showing the degree of association between the alerts and maintenance tasks for the mining machine 101 using the linked alert data and maintenance data, and causes the terminal device 3 to display the alerts for the mining machine 101 as alert information based on the calculated degree of association.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a mine management device and a mine management method that collect and utilize alert data from mining machines such as dump trucks and excavators. [Background technology]

[0002] In recent years, management systems that collect alert data from various devices and support the maintenance of those devices have been increasingly introduced in various fields. Known examples of such maintenance support systems include a maintenance inspection system in the plant field that supports the inspection of plant equipment (see Patent Document 1), and an alarm control device in the IT field that removes alarms that do not need to be checked by a maintainer from among the large number of device alarms (alarm information) that are generated when network equipment fails, etc. (see Patent Document 2).

[0003] The maintenance inspection system described in Patent Document 1 supports inspections that take into account the soundness of plant equipment before inspection work, determining whether measurement values ​​of plant signals collected from plant equipment match abnormality judgment conditions, and automatically registering equipment with an abnormal plant signal that has been judged to be abnormal as requiring inspection if the system determines that the equipment needs inspection. Specifically, the system measures the number of times the plant signal (measurement value) exceeds a caution threshold, and if the system determines that the number of times the caution threshold has been exceeded is on the rise (abnormal), it automatically adds the equipment with the plant signal to the equipment to be inspected.

[0004] The alarm control device described in Patent Document 2 is a technology for reducing the workload of maintenance personnel and speeding up fault response work in response to the large number of device alarms issued when a fault occurs in network equipment.The alarm control device determines whether maintenance personnel need to check the numerous device alarms issued from network element devices (IT equipment) when a fault occurs in network equipment, using judgment conditions corresponding to the device alarms (for example, the number of times the same alarm has occurred), and removes alarms that do not require maintenance personnel's check, while notifying the terminal (maintenance personnel) of alarms that require maintenance personnel's check. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-106391 [Patent Document 2] Japanese Patent Publication No. 2020-135345 Summary of the Invention [Problem to be solved by the invention]

[0006] In the technology described in Patent Document 1, maintenance work (inspection of the equipment) is automatically added based on the health of the plant equipment (abnormality determination). However, Patent Document 1 does not mention a method for evaluating whether the abnormality determination indicating the health of the plant equipment was actually useful. In other words, even if maintenance work (inspection) is performed on the plant equipment that has been determined to be abnormal, there is a possibility that no problem will be discovered. For example, there is a concern that the health of the plant equipment may be misjudged due to incorrect settings of the abnormality determination conditions. In this case, unnecessary inspections (maintenance work) will increase, and the efficiency of the maintenance work will decrease. As such, it is unclear whether adding maintenance work based on the health of the plant equipment (abnormality determination) will lead to efficient maintenance.

[0007] Let us consider the case where the technology described in Patent Document 2 is applied as is to a mining management device that manages mining machinery such as dump trucks and shovels. The technology described in Patent Document 2 eliminates alarms that do not require maintenance personnel to check, based on preset criteria, from among the many alarms (alerts) issued by IT equipment. Compared to IT equipment, mining machinery is used in harsher environments and has a wider range of operating conditions, meaning the condition of each component varies greatly. For this reason, if alarms are eliminated using preset criteria, as with the technology described in Patent Document 2, there is a concern that alarms that require maintenance may be overlooked.

[0008] Furthermore, in addition to maintenance work when a failure occurs, mining machinery undergoes periodic maintenance (preventive maintenance work). Meanwhile, IT equipment is generally not expected to undergo periodic inspections and maintenance, and maintenance is performed only when a failure occurs. For this reason, alarms (alerts) from IT equipment can only be found to be related to maintenance work when a network failure occurs. Therefore, even if the technology described in Patent Document 2, which targets network facilities (IT equipment), is applied to a management device for mining machinery, which undergoes periodic maintenance, it is difficult to utilize it to improve the maintenance of mining machinery.

[0009] The present invention has been made to solve the above problems, and its purpose is to provide a mine management device and a mine management method that can present display information (alert information) regarding mining machine alerts, which enables appropriate maintenance of mining machines to be carried out. [Means for solving the problem]

[0010] The present application includes a plurality of means for solving the above-mentioned problems. One example of the means for solving the problems of the present application is a mine management device including a storage device in which alert data, which is data related to each alert of a mining machine, is aggregated and stored, and maintenance data, which is data related to each maintenance work performed on the mining machine, is aggregated and stored, and an information processing device that collects the alert data of the mining machine and the maintenance data of the mining machine and records it in the storage device, and processes the alert data of the mining machine and the maintenance data of the mining machine and outputs it to a terminal device having a display function, wherein the information processing device, for each maintenance work of the mining machine, calculates the operating period of the mining machine between the maintenance work and the previous maintenance work, and The system is configured to perform a linking process that links the alert data of the mining machine with the maintenance data of the mining machine and records the linked data in the storage device so that all alerts issued are associated, perform a linkage calculation process that calculates a linkage, which is an index showing the degree of linkage between the alert of the mining machine and the maintenance work of the mining machine, using the alert data and the maintenance data that are linked by the linking process, and perform a display process that outputs a display command to the terminal device to display the alert of the mining machine as alert information, which is display information regarding the alert of the mining machine, based on the linkage calculated as a result of the linkage calculation process. [Effects of the Invention]

[0011] According to one example of the solution of the present application, mining machine alert information is displayed based on the calculation result of the degree of coupling, which is an index that indicates the degree of coupling between mining machine alerts and maintenance work. Therefore, for users who are required to make immediate decisions, only alert information with a high degree of coupling is presented, making it possible to avoid overlooking alerts that require maintenance. On the other hand, for users who are reviewing maintenance, alert information with a low degree of coupling is presented, making it possible to identify overlooking important alerts or to avoid excessive maintenance work by reviewing alert settings. In other words, it is possible to present mining machine alert information that enables appropriate maintenance of mining machines. Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a schematic diagram showing the configuration of a mine management system including a mine management device according to a first embodiment of the present invention. [Figure 2] 2 is a block diagram showing the functional configuration of the mine management device according to the first embodiment shown in FIG. 1. FIG. [Figure 3] 3 is a flowchart showing an example of a processing procedure of an association processing unit of an information processing device in the mine management device according to the first embodiment shown in FIG. 2. [Figure 4] 3 is an explanatory diagram showing a first example and a second example of a degree of coupling calculated by a degree of coupling calculation unit of an information processing device in the mine management device according to the first embodiment shown in FIG. 2. FIG. [Figure 5] 10 is an explanatory diagram showing a third example of the degree of linkage calculated by the degree of linkage calculation unit of the information processing device in the mine management device according to the first embodiment shown in FIG. 2. FIG. [Figure 6] 3 is a flowchart showing an example of a processing procedure of a display processing unit of the information processing device in the mine management device according to the first embodiment shown in FIG. 2. [Figure 7] 3 is a diagram showing an example of a display screen of alert information that is displayed on a terminal device by a display processing unit of an information processing device in the mine management device according to the first embodiment shown in FIG. 2. FIG. [Figure 8] 10 is a diagram showing another example of a display screen of alert information that is displayed on a terminal device by a display processing unit of an information processing device in the mine management device according to the first embodiment shown in FIG. 2. FIG. [Figure 9] FIG. 10 is a block diagram showing the functional configuration of a mine management device according to a second embodiment of the present invention. [Figure 10] FIG. 10 is an explanatory diagram showing the concept of an alert reduction degree calculated by a mine management device according to a second embodiment. [Figure 11] FIG. 10 is an explanatory diagram showing an example of alert analysis using a degree of connection and an alert reduction degree by the mine management device according to the second embodiment. [Figure 12] 10 is a flowchart showing an example of a processing procedure for alert analysis (including display of analysis results) in a mine management device according to a second embodiment. [Figure 13] FIG. 10 is a diagram showing a first example (false alert) of a display screen of alert information of an analysis result that the mine management device according to the second embodiment causes the terminal device to display. [Figure 14] FIG. 10 is a diagram showing a second example (overlooked alert) of a display screen of alert information of an analysis result that is displayed on a terminal device by a mine management device according to the second embodiment. [Figure 15] FIG. 10 is a diagram showing a third example (maintenance repetition alert) of a display screen of alert information of an analysis result that the mine management device according to the second embodiment causes the terminal device to display. DETAILED DESCRIPTION OF THE INVENTION

[0013] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of a mine management device and a mine management method according to the present invention will be described with reference to the drawings.

[0014] [First embodiment] First, the configuration of a mine management system including a mine management device according to a first embodiment of the present invention will be described with reference to Fig. 1. Fig. 1 is a schematic diagram showing the configuration of a mine management system including a mine management device according to the first embodiment.

[0015] In FIG. 1, a mine management system 1 centrally manages mine productivity (for example, operation and maintenance work of mining machinery 100, which will be described later). The mine management system 1 includes a mine management device 2 that performs information processing for collectively managing mining machinery 100 operating within a specified mine area, and a terminal device 3 that has a display function for presenting various information processed by the mine management device 2 to a user 200. The mining machinery 100 is made up of multiple mining machines, such as a dump truck 101, a shovel 102, and a dozer 103, that operate within a specified mine area. Note that the mining machinery 100 managed by the mine management device 2 is not limited to these mining machines 101, 102, and 103.

[0016] The mine management device 2 collects and stores various data related to mining machinery 100 that are collectively managed in the same mine area, and processes the various collected data. The mine management device 2 has a storage device 10 in which various data on the mining machinery 100 is aggregated and stored, and an information processing device 20 that collects various data on the mining machinery 100, records it in the storage device 10, and processes the various data on the mining machinery 100.

[0017] The storage device 10, for example, aggregates operation data and position data collected from the mining machines 101-103 and stores them as a database. The operation data and position data include, for example, detection values ​​from sensors of the mining machines 101-103 and calculation values ​​from control devices. The data collected from the mining machines 101-103 also includes alert data, which is data related to each alert issued by the mining machines 101-103. An alert indicates that the operation data of the mining machines 101-103 has deviated from a predetermined range, and is issued, for example, based on the determination of the mining machines 101-103. However, it is also possible to configure the determination of an alert (whether or not the operation data has deviated from the predetermined range) based on operation data collected by the mine management device 2, rather than by the mining machines 101-103. Details of the alert data will be described later. The storage device 10 also aggregates maintenance data, which is data related to each maintenance job performed on the mining machines 101-103, and stores it as a database.

[0018] The information processing device 20 processes various data stored in the storage device 10 and provides productivity information, degradation / abnormality information, and the like to the terminal device 3. In the mine management system 1, it is desirable that the operation data and position data of the mining machines 101-103 be transmitted sequentially, but considering the communication conditions and communication costs, this is not always the case. Therefore, the information processing device 20 starts processing after accumulating a certain amount of operation data. The certain amount can be determined, for example, by the time equivalent to the longest ever work cycle from loading to unloading of the mining machines 100 in the mine, or the amount of operation data transmitted during the longest ever work cycle.

[0019] The terminal device 3 is, for example, a notebook computer or a mobile terminal having a display device 3a and an input device 3b. The terminal device 3 displays productivity information, degradation and abnormality information, and the like, which are the processing results of the mine management device 2 (information processing device 20). The terminal device 3 is capable of displaying various types of information in dashboard format, report format, email format, and the like. The various types of information displayed on the terminal device 3 include, for example, alert information (described below) which is display information related to alerts for the mining machines 101 to 103, and maintenance information (described below) which is display information related to the maintenance of the mining machines 101 to 103. The terminal device 3 is used by a user 200 of the mine management system 1.

[0020] The users 200 of the mine management system 1 include, for example, an operation manager 201 who creates or modifies operation plans for the mining machines 101 to 103, an operator instructor 202 who instructs the operators of the mining machines 101 to 103, a road surface maintenance worker 203 who maintains and inspects the road surfaces of the mine routes, etc., an equipment maintenance worker 204 who maintains and inspects the mining machines 101 to 103 and various equipment, and a mining and maintenance manager 205 who creates or modifies mining and maintenance plans for the mine.

[0021] By using various information (e.g., a dashboard) displayed on the terminal device 3, the user 200 can detect declines in mine productivity early and implement countermeasures based on the causes of the decline in productivity, thereby maintaining and managing mine productivity. For example, the mine operations manager 201 can use the information displayed on the terminal device 3 to revise the operation plan for the mining machines 101-103. Furthermore, the operator instructor 202 can identify operators who need to improve their driving from the information displayed on the terminal device 3 and provide driving guidance to them. The road surface maintenance worker 203 can use the information displayed on the terminal device 3 to quickly identify and repair road surface areas that are causing productivity declines. The equipment maintenance worker 204 can identify deterioration or malfunctions of the mining machines 101-103 from the information displayed on the terminal device 3 and perform repairs or calibration. The equipment maintenance worker 204 operates a terminal device with an input device to store data on the performed maintenance work in the storage device 10. Furthermore, by combining weather information (history and forecast) and mineral prices (history and forecast) obtained via the Internet 300 with the information displayed on the terminal device 3, the mining and maintenance manager 205 can revise the mining and maintenance plan and issue improvement instructions to the operations manager 201, operator instructor 202, road surface maintenance staff 203, and equipment maintenance staff 204 to prevent a decline in production.

[0022] Next, the functions of the mine management device according to the first embodiment will be described with reference to Fig. 2. Fig. 2 is a block diagram showing the functional configuration of the mine management device according to the first embodiment shown in Fig. 1.

[0023] 2 generally collects and stores alert data and maintenance data of mining machinery 100, links both sets of data based on predetermined conditions described below, calculates predetermined indices described below based on both sets of linked data, and performs processing to display alert information of the mining machinery 100 on the terminal device 3 based on the calculated predetermined indices. Here, an example will be described in which the mine management device 2 processes alert data and maintenance data of a dump truck 101 out of the mining machinery 100. However, the mine management device 2 can also process alert data and maintenance data of a shovel 102 and a dozer 103 in a similar manner to the dump truck 101.

[0024] The information processing device 20 of the mine management device 2 includes, as a hardware configuration, memories such as RAM and ROM, and an arithmetic processing device such as a CPU. The memory pre-stores programs and various information required for collecting and processing alert data and maintenance data of the dump truck 101 and displaying the processing results. The information processing device 20 implements various functions by appropriately reading programs and various information from the memory and executing processing in accordance with the programs. Specifically, the information processing device 20 according to this embodiment has, as functional units, a first record processing unit 21, a second record processing unit 22, a linking processing unit 23, a degree of connection calculation unit 24, and a display processing unit 25.

[0025] The first recording processing unit 21 collects alert data, which is data related to each alert issued from the dump truck 101, and records it in the storage device 10 as an alert database 11 (hereinafter, "alert DB"). The alert data in the alert DB 11 includes at least four types of data: an alert number, an alert identifier, the time the alert was issued, and the identifier of the mining machine 101. It is preferable that the alert DB 11 also includes data such as the time the alert stopped, the position of the mining machine 101 when the alert was issued, and sensor data and control data used to determine the alert. The alert DB 11 is stored, for example, as alert data as shown in Table 1. Table 1 is an example of a table stored in the storage device 10 as the alert DB 11.

[0026] [Table 1]

[0027] The first recording processing unit 21 assigns a unique alert number when recording alert data collected from the mining machine 101 in the alert DB 11 (storage device 10). That is, the alert number is a unique number assigned by the first recording processing unit 21 to each issued alert. The alert identifier is a code assigned to each alert issuance condition, and is often a combination of numerical values ​​or numbers. That is, the alert identifier identifies the type or content of an alert, such as an overcurrent in the inverter (a component of the dump truck 101) or an abnormal water temperature in the engine (a component of the dump truck 101). The mining machine identifier is a code for distinguishing between individual mining machines (dump trucks) 101 (machine numbers). Data other than the alert number, such as the alert identifier, the alert issuance time, and the mining machine identifier, is included in the alert data collected from the mining machine (dump truck) 101. In the alert DB11 shown in Table 1, for example, if the alert identifier Alert-A is an abnormal engine water temperature, it means that a state in which engine water temperature abnormalities are occurring frequently is recorded for RD01 of dump truck 101 (see the data for alert numbers 1, 3, and 4).

[0028] The first recording processing unit 21 also outputs the collected alert data of the mining machine 101 to the display processing unit 25. This is to quickly process the alert data for real-time display for users 200 who make real-time decisions, such as an operations manager 201 (operation planner), a mining / maintenance planner 205, and an equipment maintenance person 204.

[0029] The second recording processing unit 22 collects maintenance data, which is data on each maintenance operation performed on the mining machine 101, and records the data in the storage device 10 as a maintenance database 12 (hereinafter, "maintenance DB"). The maintenance data is, for example, data input by the equipment maintenance technician 204 via the input device 3b and transmitted from the terminal device 3. The maintenance data in the maintenance DB 12 includes at least five types of data: the maintenance operation number, the part targeted for the maintenance operation, the start time of the maintenance operation, the end time of the maintenance operation, and the identifier (machine number) of the mining machine 101 targeted for the maintenance operation. It is desirable that the maintenance DB 12 also include a part identifier that identifies the type of replacement part, and an identifier of a document such as a maintenance operation report. The maintenance DB 12 is recorded as maintenance data, for example, as shown in Table 2. Table 2 is an example of a table stored in the storage device 10 as the maintenance DB 12.

[0030] [Table 2]

[0031] The second recording processing unit 22 assigns a unique maintenance work number when recording the collected maintenance data in the maintenance DB 12 (storage device 10). That is, the maintenance work number is a unique number assigned by the second recording processing unit 22 to each performed maintenance work. The maintenance target parts are, for example, the engine and drive train, which are relatively large devices that make up the dump truck 101. The mining machine identifier is a code for distinguishing individual dump trucks 101 (machine numbers), similar to the alert DB 11. Note that, when multiple parts are maintained in one maintenance work, as shown in Table 2, for example, it is sufficient to record records in which the maintenance work number, the start and end times of the maintenance work, and the identifier of the mining machine 101 are the same, but only the maintenance target parts are different. Data other than the maintenance work number, such as the maintenance target parts, the start and end times of the maintenance work, and the mining machine identifier, is included in the maintenance data collected by the second recording processing unit 22.

[0032] The linking processor 23 creates linked data by linking the alert data in the alert DB 11 with the maintenance data in the maintenance DB 12, and records the linked data as a linking database 13 (hereinafter, "linking DB") in the storage device 10. Specifically, the linking processor 23 associates each alert of the mining machine 101 with the maintenance work performed immediately after the alert, and records the linked data as the linking DB 13 in the storage device 10 after each maintenance work. The linking method of the linking processor 23 will be described in detail later. The linking DB 13 is, for example, a combination of the alert number in the alert DB 11 and the maintenance work number in the maintenance DB 12, and is recorded as linked data as shown in Table 3. Table 3 is an example of a table stored in the storage device 10 as the linking DB 13.

[0033] [Table 3]

[0034] Table 3 links the alert data in the alert DB 11 shown in Table 1 with the maintenance data in the maintenance DB 12 shown in Table 2 based on predetermined conditions. The linking DB 13 shown in Table 3 records, linked to the maintenance work number, the alert numbers of all alerts issued for a mining machine 101 (identifier RD01) identified by a maintenance work number before the start time of the maintenance work for that maintenance work number and after the end time of the maintenance work for the maintenance work immediately before (the previous) the maintenance work for that maintenance work number. This means that the alert data and maintenance data are linked so that, for each maintenance work for the mining machine 101, all alerts issued during the operation period of the mining machine 101 between that maintenance work and the previous maintenance work are associated.

[0035] In detail, for maintenance work number 111 in Table 3, for the identifier RD01 (machine number) of the mining machine 101 identified in Table 2, alert numbers 1 and 3 in Table 1 are linked, which correspond to alerts (the issuance times in Table 1 are 13:10 and 13:20 on 2023 / 01 / 10) that were issued before the maintenance work start time of that maintenance work number 111 in Table 2 (13:25 on 2023 / 01 / 10). NULL is recorded for maintenance work number 1 in Table 3. This indicates that for the identifier RD01 (machine number) of the mining machine 101 identified by maintenance work number 1 in Table 2, no alerts (see the issuance times in Table 1) were issued between before the maintenance work start time of that maintenance work number 1 in Table 2 (13:00 on 2023 / 01 / 07) and the end time of the previous maintenance work.

[0036] The coupling degree calculation unit 24 calculates the coupling degree using the alert data in the alert DB 11, the maintenance data in the maintenance DB 12, and the linking data in the linking DB 13. The coupling degree is an index that indicates the degree of connection between an alert for the mining machine 101 and maintenance work for the mining machine 101. The coupling degree is defined as being high when maintenance work is carried out promptly after an alert is issued, and conversely, being low when maintenance work is not carried out despite alerts being issued multiple times. The method for calculating the coupling degree will be described in detail later. The coupling degree calculation unit 24 records the calculated coupling degree in the storage device 10 as a coupling degree database 14 (hereinafter referred to as coupling degree DB).

[0037] The display processing unit 25 outputs a display command to the terminal device 3 to display alert information, which is display information related to alerts for the mining machine 101, and maintenance information, which is display information related to maintenance work for the mining machine 101, based on the coupling degree calculated by the coupling degree calculation unit 24 (the coupling degree in the coupling degree DB 14). Furthermore, when collected alert data for the mining machine 101 is set as a forced display target, the display processing unit 25 outputs a display command to the terminal device 3 to display the alert information regardless of the coupling degree calculated by the coupling degree calculation unit 24. For example, the display processing unit 25 can display only alert information with a relatively high coupling degree on the terminal device 3. Furthermore, it can also display alert information with a relatively low coupling degree and maintenance information related to that alert information on the terminal device 3. Specific processing by the display processing unit 25 and details of the display command will be described later.

[0038] Next, a processing procedure of the linking processing unit of the information processing device in the mine management device according to the first embodiment will be described with reference to Fig. 3. Fig. 3 is a flowchart showing an example of a processing procedure of the linking processing unit of the information processing device in the mine management device according to the first embodiment shown in Fig. 2.

[0039] The flowchart shown in Fig. 3 (steps S10 to S60) is a batch process that is performed at predetermined time intervals by the linking processing unit 23 of the information processing device 20 shown in Fig. 2. However, the linking processing unit 23 can also be configured to sequentially perform the processes of steps S30 to S60 in the flowchart shown in Fig. 3, triggered by the second recording processing unit 22 shown in Fig. 2 recording the maintenance data as the maintenance DB 12 in the storage device 10.

[0040] 3, the linking processing unit 23 first determines whether all of the maintenance work numbers stored in the maintenance DB 12 have been registered in the linking DB 13 (step S10). Specifically, the linking processing unit 23 compares the maintenance work numbers extracted from the linking data in the linking DB 13 (for example, see the table shown in Table 3) with the maintenance work numbers extracted from the maintenance data in the maintenance DB 12 (for example, see the table shown in Table 2), and determines whether there are any mismatched maintenance work numbers. If all of the maintenance work numbers stored in the maintenance DB 12 have been registered in the linking DB 13 (YES), the processing of this flowchart ends. On the other hand, if at least one of all the maintenance work numbers stored in the maintenance DB 12 is not registered in the linking DB 13 (NO), the linking processing unit 23 extracts the maintenance work numbers not registered in the linking DB 13 from the maintenance DB 12 (step S20).

[0041] Next, the linking processing unit 23 searches the maintenance DB 12 to extract the maintenance work number corresponding to the maintenance work performed immediately before the maintenance work corresponding to the maintenance work number extracted in step S20 (the maintenance work number not registered in the linking DB 13) (step S30). For example, in the maintenance DB 12 (see, for example, the table shown in Table 2), the mining machines 101 are divided into identifiers (machine numbers) and sorted in descending order by the start time of the maintenance work. Of the maintenance work numbers not registered in the linking DB 13, the maintenance work number in the row (record) immediately above the selected maintenance work number is extracted as the maintenance work number corresponding to the previously performed maintenance work. Note that the processing from step S30 onwards is performed for each maintenance work number not registered in the linking DB 13.

[0042] Next, the linking processing unit 23 extracts from the maintenance DB 12 the operation period of the mining machine 101 between the maintenance work corresponding to the maintenance work number extracted in step S20 (maintenance work number not registered in the linking DB 13) and the previous maintenance work corresponding to the maintenance work number extracted in step S30 (step S40). Specifically, the period between the maintenance work end time for the maintenance work number (previous maintenance work) of step S30 in the maintenance DB 12 (see, for example, the table shown in Table 2) and the maintenance work start time for the maintenance work number (target maintenance work) of step S20 not registered in the linking DB 13 in the maintenance DB 12 can be extracted as the operation period of the mining machine 101. For example, for the identifier RD01 (machine number) of the mining machine 101 in the maintenance DB12 shown in Table 2, if the previous maintenance work for the maintenance work number 111 is maintenance work number 1, the period from the end time of the maintenance work for maintenance work number 1 (14:00 on 2023 / 01 / 07) to the start time of the maintenance work for maintenance work number 111 (13:25 on 2023 / 01 / 10) is extracted as the operating period of the mining machine 101.

[0043] Furthermore, the linking processing unit 23 extracts from the alert DB 11 all the alert numbers of all alerts issued during the operation period of the mining machine 101 extracted in step S40 (step S50). Specifically, the linking processing unit 23 extracts the alert numbers of all alerts issued during the operation period of the mining machine 101, from the operation start time (the end time of the previous maintenance work) to the operation end time (the start time of the target maintenance work), based on the alert issuance time from the alert DB 11 (for example, the alert DB 11 shown in Table 1).

[0044] Thereafter, the linking processing unit 23 records combinations of the maintenance work number extracted in step S20 and all of the alert numbers extracted in step S50 as the linking DB 13 in the storage device 10 (step S60). For example, the alert DB 11 shown in Table 1 does not contain any alert data issued before the maintenance work start time (13:00 on January 7, 2023) for maintenance work number 1 in the maintenance DB 12 shown in Table 2. For this reason, NULL is recorded as the alert number linked to maintenance work number 1 in the linking DB 13 (see Table 3). Meanwhile, for the same mining machine identifier RD01 identified by maintenance work number 111, by searching the alert DB 11 shown in Table 1 for an alert issuance time earlier than the maintenance work start time (13:25 on January 10, 2023) for maintenance work number 111, alert number 1 and alert number 3 are recorded as the alert numbers linked to maintenance work number 111 in the linking DB 13 (see Table 3).

[0045] By executing the processing of this series of steps S10 to S60, the linking processing unit 23 can link the maintenance work number of the target maintenance work for the mining machine 101 with the alert numbers of all alerts issued during the operation of the mining machine 101 before the maintenance work with the maintenance work number. By linking the alert data in the alert DB 11 with the maintenance data in the maintenance DB 12 in this way, it is possible to prevent alert data generated during equipment operation tests during maintenance of the mining machine 101 from being linked to the maintenance data in the maintenance DB 12. Therefore, by using linking data that links an alert issued during operation of the mining machine 101 with performance data of maintenance work for the mining machine 101 performed immediately after the alert was issued, it is possible to calculate the degree of linkage, which is an index that indicates the degree of linkage between the alert and the maintenance work for the mining machine 101.

[0046] Unlike IT equipment, mining machines 101 generally undergo periodic maintenance work (preventive maintenance work) rather than undergoing maintenance only when a failure occurs. In this embodiment, the information processing device 20 associates alerts issued before periodic maintenance work with parts replaced during periodic maintenance work on the mining machines 101. As a result, alerts that are effective for preventive maintenance are automatically linked to the parts that underwent maintenance work.

[0047] Next, a specific example of a calculation method of the coupling degree calculation unit of the information processing device in the mine management device according to the first embodiment will be described. First, a first example and a second example of the coupling degree calculation method will be described with reference to Fig. 4. Fig. 4 is an explanatory diagram showing a first example and a second example of the coupling degree calculated by the coupling degree calculation unit of the information processing device in the mine management device according to the first embodiment shown in Fig. 2.

[0048] First and second examples of the coupling degree calculated by the coupling degree calculation unit 24 of the information processing device 20 include an action rate and a hit rate. Here, as a premise for explaining the action rate and the hit rate, as shown in FIG. 4 , it is assumed that, among set A of all maintenance operations performed in a predetermined period (e.g., one week), there exists set X of maintenance operations linked with an event that triggers alert A (a predetermined alert identifier), and set Y of maintenance operations for a predetermined maintenance target part (e.g., part 1). Set A can be obtained, for example, by extracting, from the maintenance DB 12, maintenance operation numbers whose start time or end time falls within the predetermined period. Set Y can be obtained by extracting, from the maintenance DB 12, maintenance operation numbers whose maintenance target part is part 1 from among the maintenance operation numbers of set A. Set X can be obtained by extracting, from the alert DB 12, alert numbers whose alert identifier is alert A from among the alert numbers linked to the maintenance operation numbers of set A in the linking DB 13.

[0049] The action rate AL_act is calculated by dividing the number of maintenance tasks included in set X and set Y (hereinafter sometimes referred to as the number of component maintenance tasks) by the total number of alerts issued linked to the maintenance tasks in set X (hereinafter sometimes referred to as the total number of alerts) (action rate AL_act = number of component maintenance tasks / total number of alerts). In other words, it is calculated by dividing the number of maintenance tasks for component 1 performed after alert A was issued by the total number of alerts A issued. If component 1 is always maintained after alert A is issued, the action rate AL_act will be the maximum value of 1. On the other hand, if many alerts A are issued before maintenance tasks for component 1 are performed, the denominator of the action rate AL_act will be larger accordingly, and the action rate AL_act will be smaller accordingly. Furthermore, if many alerts A are issued before maintenance tasks other than for component 1, the numerator of the action rate AL_act will be smaller accordingly, and the action rate AL_act will be smaller accordingly. In other words, the action rate AL_act increases when maintenance work on part 1 is performed promptly after alert A is issued, but decreases when maintenance work on part 1 is not performed even if alert A is issued multiple times. Therefore, the action rate AL_act can be used as a value that can determine the degree of connection between an alert (alert A) issued before maintenance work on the target (part 1) and the performance of that maintenance work, that is, as an example of the degree of coupling.

[0050] Furthermore, the hit rate AL_hit is calculated by dividing the number of alerts issued that are linked to maintenance work that is included in set X and set Y by the total number of alerts issued that are linked to maintenance work in set X. In other words, it is calculated by dividing the number of alerts A issued before maintenance work on part 1 (set Y) was performed by the total number of alerts A issued during a specified period. This is equivalent to replacing the numerator of the action rate AL_act with the number of maintenance work on part 1 that was performed after alert A was issued, and the number of alerts A issued that are linked to maintenance work on part 1. If alert A is issued once before maintenance work on part 1, the hit rate AL_hit will be the same as the action rate, but if alert A is issued multiple times before maintenance work on part 1, the hit rate AL_hit will be greater than the action rate. Like the action rate AL_act, the hit rate AL_hit increases when maintenance work on part 1 is performed promptly after alert A is issued, but decreases when maintenance work on part 1 is not performed even if alert A is issued multiple times, and therefore can be used as an example of coupling.

[0051] Next, a third example of the method for calculating the degree of linkage will be described with reference to Fig. 5. Fig. 5 is an explanatory diagram showing a third example of the degree of linkage calculated by the degree of linkage calculation unit of the information processing device in the mine management device according to the first embodiment shown in Fig. 2. In Fig. 5, the horizontal axis represents time.

[0052] A third example of the coupling degree calculated by the coupling degree calculation unit 24 of the information processing device 20 is an aggregate value obtained by aggregating the elapsed time from the issuance of an alert for each type (identifier) ​​of alert to the start of the maintenance work associated with that alert. For example, FIG. 5 schematically shows that alert A was issued at time T_al, and maintenance work M started at time M_st, which is an elapsed time RT after the issuance of alert A, and ended at time M_ed. It is assumed that the longer this elapsed time RT is, the lower the degree of connection (relevance) of alert A to maintenance work M.

[0053] Therefore, for each alert number linked to each maintenance work number in the linking DB 13 (see Table 3), the elapsed time RT is calculated from the alert DB 11 (alert issuance time) and the maintenance DB 12 (maintenance work start time), and the calculated elapsed time RT is aggregated for each alert identifier. It is possible to calculate an aggregate value of the elapsed time RT from the elapsed time RT aggregated for each alert identifier. The aggregate value of the elapsed time RT may be the average, median, or mode of the elapsed time RT for each alert identifier. The aggregate value of the elapsed time RT can be used as an example of coupling. However, the aggregate value of the elapsed time RT is defined as an index in which the coupling degree (the degree of connection between a specified type of alert and the maintenance work of a specified part) decreases as the aggregate value increases, and the coupling degree increases as the aggregate value decreases.

[0054] The information processing device 20 can also be configured to calculate and utilize both the action rate AL_act or the hit rate AL_hit and the aggregated value of the elapsed time RT as the degree of association.

[0055] Next, a processing procedure of the display processing unit of the information processing device in the mine management device according to the first embodiment will be described with reference to Fig. 6. Fig. 6 is a flowchart showing an example of the processing procedure of the display processing unit of the information processing device in the mine management device according to the first embodiment shown in Fig. 2.

[0056] The flowchart shown in FIG. 6 is an example of a processing procedure for displaying alert information to users 200 who need to make real-time decisions, such as a dispatcher 201 (dispatch planner), a maintenance planner 205, and an equipment maintenance person 204.

[0057] 6, the display processing unit 25 first determines whether the alert issued from the mining machine 101 is subject to a preset forced display (step S110). Specifically, it determines whether the alert identifier (type of alert) in the alert data of the mining machine 101 collected by the first recording processing unit 21 is subject to forced display. If the alert identifier is subject to forced display (YES), the process proceeds to step S150, whereas if the alert identifier is not subject to forced display (NO), the process proceeds to step S120. This is a mechanism for avoiding the occurrence of a failure that reduces the availability of the mining machine 101 due to an important alert being overlooked. For alerts that are highly related to failures that reduce the availability, for example, the maintenance planner 205 can designate in advance the corresponding alert identifier as a target for forced display.

[0058] If the determination in step S110 is NO, the display processing unit 25 refers to the connectivity DB 14 in which the connectivity calculated by the connectivity calculation unit 24 is stored (step S120). Specifically, the display processing unit 25 refers to the calculation results of the connectivity calculation unit 24 stored in the connectivity DB 14 over a predetermined period (for example, the past three months), and extracts the connectivity between the alert (identifier) ​​issued from the mining machine 101 and each maintenance target part. Here, both the action rate and the aggregate value (for example, the average value) of the elapsed time RT are stored in the connectivity DB 14 as the connectivity.

[0059] Next, the display processing unit 25 determines whether or not the action rate AL_act (first example of the degree of coupling) with any of the maintenance target components extracted by referring to the coupling rate DB 14 exceeds a preset judgment value A (step S130). If the action rate AL_act with any of the maintenance target components exceeds the judgment value A (if YES), the process proceeds to step S150, whereas if the action rates AL_act with all of the maintenance target components are equal to or less than the judgment value A (if NO), the process proceeds to step S140.

[0060] If the answer is NO in step S130, the display processing unit 25 refers to the coupling degree DB 14 and determines whether the aggregated value of the elapsed time RT with any of the components to be maintained (a third example of coupling degree) extracted is smaller than a preset judgment value B (step S140). If the aggregated value of the elapsed time RT is smaller than the judgment value B (if YES), the process proceeds to step S150, whereas if the aggregated value of the elapsed time RT is equal to or greater than the judgment value B (if NO), the process flow of the display processing unit 25 ends.

[0061] If the results are NO in step S130 and NO in step S140, the alert issued from the mining machine 101 is one in which the action rate AL_act (a first example of the degree of coupling) is relatively low and the aggregate value of the elapsed time RT (a third example of the degree of coupling) is relatively long for all the components to be maintained. Therefore, the display processing unit 25 determines that there is no need to display alert information regarding this alert on the terminal device 3.

[0062] On the other hand, if the result of step S130 is YES, the display processing unit 25 causes the terminal device 3 to display, as alert information, alert data having a relatively high action rate AL_act (step S150). Also, if the result of step S140 is YES, the display processing unit 25 causes the terminal device 3 to display, as alert information, alert data having a relatively small aggregated value of elapsed time RT (step S150). Note that it is also possible to configure the terminal device 3 to display, as maintenance information, maintenance data linked to alert data (identifier) ​​having a relatively high action rate AL_act or alert data (identifier) ​​having a relatively short aggregated value of elapsed time RT.

[0063] As a result, the display processing unit 25 can display, for example, alert information with a high action rate AL_act or alert information with a small aggregate value of the elapsed time RT (alert information with a high degree of coupling) on ​​the terminal devices 3 used by the operations manager 201 and the equipment maintenance technician 204. By displaying only alert information with a high degree of coupling, the operations planner (operations manager 201) who needs to make a real-time decision can appropriately determine whether or not to operate the mining machine 101 without being bothered by numerous alert displays or meaningless alert information. Similarly, the maintenance planner 205 and equipment maintenance technician 204 who need to make a real-time decision can appropriately determine the timing of maintenance of the mining machine 101 and the parts to be maintained by referring to the maintenance information associated with alert information with a high degree of coupling.

[0064] Furthermore, if the determination in step S110 is YES, the display processing unit 25 causes the terminal device 3 to display the alert information that is the target of forced display (step S150). This makes it possible to suppress the occurrence of failures that reduce the availability rate of the mining machine 101.

[0065] The display processing unit 25 can also be configured to perform processing to display alert information and maintenance information that are not displayed in the flowchart shown in FIG. 6 for users 200 who make decisions from a long-term perspective, such as the mining planner 205 or a support person (not shown) for the mining machine 101. For example, the display processing unit 25 displays alert information with a low action rate AL_act or alert information with a large aggregate value of the elapsed time RT (alert information with low coupling) and maintenance information related to that alert information on the terminal device 3 used by the mining planner 205 or a support person (not shown) for the mining machines 101-103. For users 200 who consider improvements from a long-term perspective, analyzing alert information with a relatively low coupling and the maintenance information related to that alert information enables them to identify overlooked important alerts that require maintenance, discover excessive alerts that have occurred due to unexpected usage conditions, and identify alerts that require revision of the alert determination value, thereby enabling improvements to maintenance work and alerts.

[0066] Next, a display screen that the mine management device according to the first embodiment displays on the terminal device will be described with reference to Fig. 7 and Fig. 8. Fig. 7 is a diagram showing an example of a display screen of alert information that the display processing unit of the information processing device in the mine management device according to the first embodiment shown in Fig. 2 displays on the terminal device. Fig. 8 is a diagram showing another example of a display screen of alert information that the display processing unit of the information processing device in the mine management device according to the first embodiment shown in Fig. 2 displays on the terminal device.

[0067] FIG. 7 is an example of a display screen 3s that allows the operations manager 201 and the maintenance planner 205 to grasp the real-time status of the mining machine (dump truck) 101. Here, the identifier (machine number) of the dump truck 101 and the number N of issued alerts (alert information) of only alerts whose degree of association with maintenance work is higher than a preset judgment value A are displayed. In other words, the display screen 3s does not include the number of issued alerts whose degree of association with maintenance work is equal to or lower than the judgment value A. Furthermore, dump trucks 101 undergoing maintenance work are grayed out (see machine number 2 in FIG. 7). This allows the maintenance planner 205 to grasp at a glance which dump trucks 101 are in operation and require maintenance work and which dump trucks 101 are currently undergoing maintenance work, making it easier to determine maintenance work instructions.

[0068] FIG. 8 is an example of the display screen 3s when one of the multiple dump trucks 101 shown in FIG. 7 is selected. The display information on the left side of the display screen 3s is a history of alerts issued during the operation period of the selected dump truck 101, and whose degree of coupling with maintenance work is higher than the judgment value A. The display information on the right side of the display screen 3s is a list of maintenance parts (maintenance work) with high coupling degrees for a specific alert identifier (alert type), sorted in order. Here, the action rate is shown as a representative example of the degree of coupling. The display screen 3s shown in FIG. 8 is preferably an interactive display such that, when one of the alert issuance histories (alert identifiers) displayed on the left side is selected, the degree of coupling corresponding to the selected alert identifier is displayed. When the maintenance planner 205 selects an alert identifier from the display screen 3s, the maintenance records (maintenance parts) linked to the selected alert are displayed in order, making it easier to create a maintenance work plan.

[0069] [Second embodiment] Next, a mine management device according to a second embodiment of the present invention will be described with reference to Figures 9 to 15. In Figures 9 to 15, the same reference numerals as those shown in Figures 1 to 8 indicate similar parts, and detailed description thereof will be omitted. Figure 9 is a block diagram showing the functional configuration of the mine management device according to the second embodiment.

[0070] The mine management device according to the second embodiment differs from the first embodiment in that it calculates the degree of reduction in the number of times a predetermined type of alert is issued before and after maintenance work on a predetermined part (hereinafter, may be referred to as the alert reduction degree), and presents alert information based on the calculated alert reduction degree. Details of the alert reduction degree will be described later. Alert information that takes into account the alert reduction degree can be displayed on the terminal device 3 of a user 200 who is considering improvements from a long-term perspective, for example.

[0071] Specifically, the storage device 10A and information processing device 20A of the mine management device 2A according to the second embodiment shown in Fig. 9 have DBs similar to the DBs 11, 12, 13, and 14 of the storage device 10 of the mine management device 2 according to the first embodiment, and also have functional units similar to the functional units 21, 22, 23, 24, and 25 of the information processing device 20. However, the coupling degree calculation unit 24A of the information processing device 20A according to this embodiment is configured to calculate the above-mentioned alert reduction degree in addition to calculating the coupling degree, and to record the calculated alert reduction degree as the coupling degree DB 14A in the storage device 10A. That is, in addition to the coupling degree calculated as the calculation result of the coupling degree calculation unit 24A, the alert reduction degree calculated as the calculation result of the coupling degree calculation unit 24A is stored in the storage device 10A of the mine management device 2A according to this embodiment as the coupling degree DB 14A. Furthermore, the display processing unit 25A of the information processing device 20A according to this embodiment is configured to output a command to display alert information and maintenance information on the terminal device 3 according to the coupling degree of the coupling degree DB 14A and the above-mentioned alert reduction degree (the calculation result of the coupling degree calculation unit 24A). The other DBs 11, 12, 13 of the storage device 10A according to this embodiment and the other function units 21, 22, 23 of the information processing device 20A are the same as those of the storage device 10 and the information processing device 20 according to the first embodiment, and therefore description thereof will be omitted.

[0072] Next, the alert reduction degree calculated by the information processing device of the mine management device according to the second embodiment will be described with reference to Fig. 10. Fig. 10 is an explanatory diagram showing the concept of the alert reduction degree calculated by the mine management device according to the second embodiment.

[0073] In FIG. 10, the horizontal axis represents time. In this example, an alert A is issued at time Tn_al, and a maintenance operation Mn is performed based on this alert A between time Mn_s and time Mn_e. Also, the previous maintenance operation Mn, which was performed immediately before the maintenance operation Mn, n―1 is time M n―1 _s to time M n―1 Furthermore, the next maintenance work M that was carried out one time after the maintenance work Mn n+1 is time M n+1_s to time M n+1 TRn is the last maintenance work M n―1 End time M n―1 This is the operating period (operating time zone) of the mining machine 101 to be maintained from the start time Mn_e to the start time Mn_s of the current maintenance work Mn. n+1 is the time from the end time Mn_e of the current maintenance work Mn to the end time Mn_e of the next maintenance work M n+1 Start time M n+1 This is the operating period (operating time period) of the mining machine 101 that is the maintenance target up to _s.

[0074] The upper part of Fig. 10 shows a case where the maintenance work Mn performed in response to the issuance of alert A is appropriate. In this case, the operating period TR of the mining machine 101 after the current maintenance work Mn is performed is n+1 Alert A will never be issued during this period.

[0075] In contrast, as shown in the middle of Figure 10, the operating period TR after the current maintenance work Mn is n+1 Time T n+1 Alert A may be issued again in _al. This may occur if the maintenance work Mn for alert A is inappropriate or if the issuance of alert A itself is a false alarm.

[0076] 10, alert A may be issued multiple times during the operation period TRn (times Tn_a1 and Tn_a12) before the current maintenance work Mn is performed. n+1 Since alert A is not issued during the period, it is considered that issuing alert A is appropriate, but it is possible that user 200 has overlooked alert A that has been issued.

[0077] In this way, if the maintenance work Mn performed in response to the issuance of alert A is appropriate, the number of alerts A issued will decrease after the maintenance work Mn, as shown in the upper part of Figure 10. On the other hand, if the maintenance work Mn performed in response to the issuance of alert A is inappropriate, alert A will be issued again after the maintenance work Mn is performed. In other words, the number of alerts A issued will not decrease before or after the maintenance work Mn. It is possible to reconsider the relationship between alerts and maintenance work from the perspective of the degree of reduction in the number of alerts issued after the maintenance work is performed.

[0078] Therefore, the degree of reduction in the number of alerts issued due to the performance of maintenance work (alert reduction degree) is defined as, for example, the number of times a predetermined type of alert is issued during the operating period after the performance of maintenance work on a predetermined component divided by the number of times that predetermined type of alert was issued during the operating period before the performance of the maintenance work. If the maintenance work is appropriate for the issuance of an alert, the number of times that the same type of alert is issued after the maintenance work is reduced compared to the number of times that the same type of alert was issued before the maintenance work, resulting in a relatively large alert reduction degree. On the other hand, if the maintenance work is inappropriate for the issuance of an alert, the number of times that the same type of alert is issued after the maintenance work is unlikely to change from the number before the maintenance work is performed is unlikely to change, resulting in a relatively small alert reduction degree. The coupling degree calculation unit 24A of the information processing device 20A shown in FIG. 9 searches the alert DB 11 based on the alert numbers linked in the DB 13 to each maintenance work number corresponding to a predetermined maintenance target component stored in the maintenance DB 12, for example, to calculate the alert reduction degree for each alert identifier during a predetermined period.

[0079] Next, alert analysis using the degree of coupling and the alert reduction rate by the mine management device according to the second embodiment will be described with reference to Fig. 11. Fig. 11 is an explanatory diagram showing an example of alert analysis using the degree of coupling and the alert reduction rate by the mine management device according to the second embodiment. In Fig. 11, the horizontal axis Rad represents the alert reduction rate, and the vertical axis AL_act represents the action rate (degree of coupling).

[0080] For a specified maintenance target part (Parts-A in FIG. 11), the degree of coupling (action rate AL_act in FIG. 11) and alert reduction rate Rad for each alert identifier over a specified period (for example, the past three months) are calculated. A specified type of alert for a specified maintenance target part can be sorted into one of four areas (areas A, B, C, and D in FIG. 11) depending on whether the calculated action rate AL_act is high or low relative to judgment value A and whether the calculated alert reduction rate Rad is high or low relative to judgment value C.

[0081] For example, the alert identifier Alert-A in Fig. 11 has a relatively high action rate and a relatively small alert reduction rate. In this case, it can be determined that there is a high possibility that the alert is a repeat maintenance alert, which is an alert that will result in the maintenance of specified part A being repeated even if maintenance work on specified part A is performed in response to the issuance of alert A.

[0082] 11, the alert identifier Alert-C has a relatively low action rate and a relatively small alert reduction rate. In this case, it can be determined that there is a high possibility that alert C for the maintenance work on the specified part A is a false alert that has been issued in error.

[0083] 11, the alert identifier Alert-D has a relatively low action rate and a relatively large alert reduction rate. In this case, it can be determined that there is a high possibility that the alert D is an overlooked alert, that is, an alert that was issued for maintenance work on a specific part A but was overlooked.

[0084] 11, the alert identifier Alert-B has a relatively high action rate and a relatively large alert reduction rate. In this case, it can be determined that the issuance of alert B is a valid alert that is highly relevant to the maintenance work of the specified part A.

[0085] In this way, the information processing device 20A according to this embodiment can determine that various alerts for maintenance work on a specified part fall into one of four areas (repeated maintenance alert, false alert, overlooked alert, valid alert) based on the level of the action rate AL_act of the calculation result and the magnitude of the alert reduction degree Rad. The information processing device 20A can present alert information for each maintenance target part to the user 200 by displaying the determination results of various alerts for maintenance work on a specified part (alert analysis results) on the terminal device 3.

[0086] Next, the processing procedure for alert analysis in the mine management device according to the second embodiment will be described with reference to Fig. 12. Fig. 12 is a flowchart showing an example of the processing procedure for alert analysis (including display of analysis results) in the mine management device according to the second embodiment.

[0087] 12, the information processing device 20A according to this embodiment first sets a data aggregation period during which alert data and maintenance data should be aggregated (step S210). Next, the information processing device 20A searches the alert DB 11 to extract all alerts issued during the data aggregation period (step S220). The following steps S230 to S300 are performed for each alert identifier for all alert numbers extracted from the alert DB 11 and the maintenance target parts for the maintenance work numbers linked to the alert numbers.

[0088] Next, the information processing device 20A calculates the action rate (coupling degree) and the alert reduction degree between each alert identifier (each type of alert) and the maintenance target component linked to the alert identifier, and records the calculation results in the coupling degree DB 14A (step S230).

[0089] Furthermore, information processing device 20A determines whether or not the action rate (an example of the degree of coupling) calculated in step S230 is equal to or less than a judgment value A (step S240). If the action rate is equal to or less than the judgment value A (YES), the process proceeds to step S250, whereas if the action rate is higher than the judgment value A (NO), the process proceeds to step S280.

[0090] If the answer is YES in step S240 (the action rate is equal to or less than the judgment value A), the information processing device 20A determines whether the alert reduction degree, which is the calculation result of step S230, is equal to or greater than the judgment value C (step S250). If the alert reduction degree is equal to or greater than the judgment value C (if YES), the process proceeds to step S260, where the terminal device 3 displays alert information of the analysis result that the alert is an overlooked alert (area D in FIG. 11). On the other hand, if the alert reduction degree is smaller than the judgment value C (if NO), the process proceeds to step S270, where the terminal device 3 displays alert information of the analysis result that the alert is a false alert (area C in FIG. 11). After processing step S260 or step S270, the process proceeds to step 300.

[0091] Furthermore, if the answer is NO in step S240 (the action rate is higher than the judgment value A), the information processing device 20A determines whether the alert reduction degree, which is the calculation result of step S230, is equal to or greater than the judgment value C (step S280). If the alert reduction degree is smaller than the judgment value C (if NO), the process proceeds to step S290, and alert information of the analysis result that the alert in question is a maintenance repetition alert (area A in FIG. 11) is displayed on the terminal device 3. After processing step S290, the process proceeds to step 300. On the other hand, if the alert reduction degree is equal to or greater than the judgment value C (if YES), the process proceeds to step S300 without performing display processing of the alert.

[0092] After the processing of steps S260, S270, and S290, or if the answer is YES in step S280, the information processing device 20A determines whether or not the alert analysis determination process has been performed on all of the alerts extracted in step S220 (step S300). If the alert analysis determination process has not been performed on all of the alerts (if NO), the process returns to step S230, and the processes of steps S230 to S290 are performed on the alerts for which alert analysis has not been performed. The processes of steps S230 to S290 are repeated until the alert analysis has been performed on all of the alerts extracted in step S220. When the alert analysis has been performed on all of the alerts, this flow ends.

[0093] Next, display screens that the mine management device according to the second embodiment displays on the terminal device will be described with reference to Figs. 13 to 15. Fig. 13 is a diagram showing a first example (false alert) of a display screen for alert information of analysis results that the mine management device according to the second embodiment displays on the terminal device. Fig. 14 is a diagram showing a second example (overlooked alert) of a display screen for alert information of analysis results that the mine management device according to the second embodiment displays on the terminal device. Fig. 15 is a diagram showing a third example (repeated maintenance alert) of a display screen for alert information of analysis results that the mine management device according to the second embodiment displays on the terminal device.

[0094] On the terminal device 3, for example, a display screen 3s shown in FIG. 13 is displayed by processing of the mine management device 2A. The display screen 3s shown in FIG. 13 is an example of a display when the analysis result is determined to be a false alert by the information processing device 20A. The alert identifiers determined to be false alerts by the processing result of step S270 in the flowchart shown in FIG. 12, along with the maintenance target parts linked to the alert identifiers, are arranged in descending order of the number of times that alerts were issued during a predetermined analysis period (the period set in step S210 in the flowchart shown in FIG. 12). This makes it possible to understand what types of erroneous alerts are being issued for which maintenance target parts. Therefore, the support personnel of the mining machine 101 can reduce the number of erroneous alerts by improving the false alerts that are issued frequently.

[0095] The terminal device 3 can also be caused to display a display screen 3s shown in Fig. 14 by processing by the mine management device 2A. The display screen 3s shown in Fig. 14 is an example of a display when the analysis result is determined to be an overlooked alert by the information processing device 20A. The alert identifiers determined to be overlooked alerts by the processing result of step S260 in the flowchart shown in Fig. 12 are arranged in descending order of the action rate (an example of the degree of coupling) during a specified analysis period, along with the maintenance target parts linked to the alert identifiers. This makes it possible to reduce the occurrence of failures of maintenance target parts due to overlooking issued alerts.

[0096] The terminal device 3 can also display a display screen 3s shown in FIG. 15 through processing by the mine management device 2A. The display screen 3s shown in FIG. 15 is an example of a display when the analysis result is determined by the information processing device 20A to be a maintenance repetition alert. The alert identifiers determined to be maintenance repetition alerts as a result of the processing of step S290 in the flowchart shown in FIG. 12 are arranged in descending order of the total work time for maintenance work on those parts during a specified analysis period, along with the maintenance target parts linked to those alert identifiers. This makes it possible to understand the maintenance work for maintenance target parts that need to be improved.

[0097] To summarize the first and second embodiments described above, the mine management device 2, 2A includes a storage device 10, 10A in which alert data, which is data regarding each alert of the mining machines 101 to 103, is aggregated and stored, and maintenance data, which is data regarding each maintenance work performed on the mining machines 101 to 103, is aggregated and stored, and an information processing device 20, 20A that collects the alert data and maintenance data of the mining machines 101 to 103 and records them in the storage device 10, 10A, and processes the alert data and maintenance data of the mining machines 101 to 103 and outputs them to a terminal device 3 having a display function. The information processing device 20, 20A is configured to perform a linking process in which, for each maintenance work of the mining machines 101-103, the alert data of the mining machines 101-103 is linked to the maintenance data and recorded in the storage device 10, 10A so that all alerts issued during the operating period of the mining machines 101-103 between that maintenance work and the previous maintenance work are associated, perform a linkage calculation process in which a linkage, which is an index showing the degree of linkage between the alerts and maintenance work of the mining machines 101-103, is calculated using the alert data and maintenance data linked by the linking process, and perform a display process in which a display command is output to the terminal device 3 to display the alerts of the mining machines 101-103 as alert information, which is display information regarding the alerts of the mining machines 101-103, based on the linkage calculated as a result of the linkage calculation process.

[0098] According to this configuration, alert information for the mining machines 101-103 is displayed based on the calculation result of the degree of coupling, which is an index showing the degree of coupling between the alerts and maintenance work of the mining machines 101-103. Therefore, for users 200 who are required to make immediate decisions, only alert information with a high degree of coupling is presented, making it possible to avoid overlooking alerts that require maintenance. On the other hand, for users 200 who are reviewing maintenance, alert information with a low degree of coupling is presented, making it possible to avoid overlooking important alerts or reviewing alert settings to avoid excessive maintenance work. In other words, it is possible to present alert information for the mining machines 101-103 that enables appropriate maintenance of the mining machines 101-103.

[0099] The coupling degree calculation process (coupling degree calculation unit 24, 24A) of the information processing device 20, 20A in the mine management device 2, 2A according to the first and second embodiments described above calculates, based on the maintenance data and alert data stored in the storage devices 10, 10A, the total number of alerts, which is the total number of alerts of a specified type issued in maintenance work to which a specified type of alert is linked among the maintenance work performed during a specified period, and calculates, based on the maintenance data and alert data stored in the storage devices 10, 10A, the number of component maintenance operations, which is the number of maintenance operations to which a specified type of alert is linked and which target a specified component, among the maintenance work performed during the specified period, and calculates, as the coupling degree, an action rate AL_act, which is the ratio of the calculated number of component maintenance operations to the calculated total number of alerts.

[0100] According to this configuration, the action rate AL_act is defined so that it increases when maintenance work on a specified part is carried out promptly after a specified type of alert is issued, and decreases when maintenance work on the specified part is not carried out even if many specified types of alerts are issued. For this reason, the action rate AL_act can be used as an index (degree of coupling) that can determine the degree of connection between an alert issued before maintenance work on a target (specified part) and the implementation of that maintenance work.

[0101] Furthermore, the coupling degree calculation process (coupling degree calculation unit 24, 24A) of the information processing device 20, 20A in the mine management device 2, 2A according to the first and second embodiments described above calculates the total number of alerts, which is the total number of alerts of a specified type issued in maintenance work to which a specified type of alert is linked among the maintenance work performed during a specified period, based on the maintenance data and alert data stored in the storage device 10, 10A; calculates the number of alerts, which is the number of times a specified type of alert was issued that is linked to maintenance work for a specified part among the maintenance work performed during a specified period, based on the maintenance data and alert data stored in the storage device 10, 10A; and calculates the hit rate, which is the ratio of the calculated number of alerts to the calculated total number of alerts, as the coupling degree.

[0102] According to this configuration, the hit rate AL_hit is defined to be large when maintenance work on a specified part is carried out promptly after the issuance of a specified type of alert, and to be small when maintenance work on the specified part is not carried out even if many specified type of alerts are issued. Therefore, the hit rate AL_hit can be used as an index (degree of association) that can determine the degree of connection between an alert issued before maintenance work on a target (specified part) and the implementation of that maintenance work.

[0103] Furthermore, the coupling degree calculation process (coupling degree calculation unit 24, 24A) of the information processing device 20, 20A in the mine management device 2, 2A according to the first and second embodiments described above calculates the elapsed time RT, which is the time from the issuance of each alert for the mining machines 101-103 to the start of maintenance work linked to that alert, based on the maintenance data and alert data stored in the storage device 10, 10A, and calculates, as the coupling degree, the aggregate value of the elapsed time RT of the calculated elapsed time RT related to the maintenance work during a predetermined period for a predetermined part that is linked to a predetermined type of alert. Furthermore, the coupling degree is defined as an index such that the larger the aggregate value of the calculation result, the smaller the degree of coupling, and vice versa.

[0104] According to this configuration, the aggregated value of the elapsed time RT is a calculated value that is shorter when maintenance work on a specified part is carried out promptly after a specified type of alert is issued, but is longer when maintenance work on a specified part is not carried out for a long time after the issuance of a specified type of alert.Therefore, it can be used as an index (degree of coupling) that can determine the degree of connection between an alert issued before maintenance work on a target (specified part) and the implementation of that maintenance work.

[0105] Furthermore, the mine management device 2 according to the first embodiment described above is configured to output a display command to display as alert information only alerts for which the coupling degree, which is the calculation result of the coupling degree calculation process (coupling degree calculation unit 24) of the information processing device 20, is greater than a predetermined judgment value A (first judgment value).

[0106] According to this configuration, only highly coupled alert information is displayed on the terminal device 3 of the user 200 who needs to make a real-time decision, so that the user 200 can appropriately determine whether or not to operate the mining machine 101 without being bothered by numerous alert displays or meaningless alert information.

[0107] Furthermore, the display processing (display processing unit 25) of the information processing device 20 in the mine management device 2 according to the first embodiment described above compares the action rate AL_act, which is the calculation result of the coupling degree calculation processing (coupling degree calculation unit 24), with a predetermined judgment value A (second judgment value), and outputs a display command to display alert information according to the comparison result.

[0108] According to this configuration, alert information in which the action rate AL_act is lower than the judgment value A (second judgment value) and maintenance information related to that alert information are displayed on the terminal device 3 of a user 200 who is considering areas for improvement from a long-term perspective.By analyzing the alert information and maintenance information, the user 200 can identify important alerts that require maintenance that have been overlooked, discover alerts that have occurred excessively due to unexpected usage conditions, and identify alerts that require a review of the alert judgment value.

[0109] Furthermore, the display processing (display processing unit 25) of the information processing device 20 in the mine management device 2 according to the first embodiment described above compares the hit rate AL_hit, which is the calculation result of the connectivity calculation processing (connectivity calculation unit 24), with a preset judgment value (third judgment value), and outputs a display command to display alert information according to the comparison result.

[0110] According to this configuration, alert information with a hit rate AL_hit lower than the judgment value (third judgment value) and maintenance information related to that alert information are displayed on the terminal device 3 of a user 200 who is considering areas for improvement from a long-term perspective.By analyzing the alert information and maintenance information, the user 200 can identify important alerts that require maintenance that have been overlooked, discover alerts that have occurred excessively due to unexpected usage conditions, and identify alerts that require a review of the alert judgment value.

[0111] Furthermore, the display processing (display processing unit 25) of the information processing device 20 in the mine management device 2 according to the first embodiment described above compares the aggregated value of the elapsed time RT, which is the calculation result of the connectivity calculation processing (connectivity calculation unit 24), with a preset judgment value B (fourth judgment value), and outputs a display command to display alert information according to the comparison result.

[0112] According to this configuration, alert information in which the aggregate value of the elapsed time RT is lower than the judgment value B (fourth judgment value) and maintenance information related to that alert information are displayed on the terminal device 3 of the user 200 who is considering areas for improvement from a long-term perspective. By analyzing the alert information and maintenance information, the user 200 can identify important alerts that require maintenance that have been overlooked, discover alerts that have occurred excessively due to unexpected usage conditions, and identify alerts that require a review of the alert judgment value.

[0113] Furthermore, the display processing (display processing unit 25) of the information processing device 20 in the mine management device 2 according to the first embodiment described above outputs a display command to always display a specific type of pre-set alert among the alerts of the mining machines 101 to 103 as alert information, regardless of the connectivity calculated by the connectivity calculation processing (connectivity calculation unit 24).

[0114] According to this configuration, if a specific type of pre-set alert is issued, it is always displayed on the terminal device 3, so it is possible to prevent malfunctions caused by overlooking important alerts.

[0115] Furthermore, the information processing device 20A in the mine management device 2A according to the second embodiment described above is configured to further perform a reduction degree calculation process that calculates an alert reduction degree, which is an index showing the degree of reduction in the number of alerts issued during the operation period of the mining machines 101 to 103 before and after each maintenance work on the mining machines 101 to 103. Furthermore, the display process (display processing unit 25A) of the information processing device 20A outputs a display command to display alert information according to the coupling degree, which is the calculation result of the coupling degree calculation process (coupling degree calculation unit 24A), and the alert reduction degree, which is the calculation result of the reduction degree calculation process (coupling degree calculation unit 24A).

[0116] According to this configuration, the alert reduction rate takes a relatively large value when the subsequent maintenance work is appropriate in response to the issuance of an alert, and takes a relatively small value when the subsequent maintenance work is inappropriate in response to the issuance of an alert. This makes it possible to review the relationship between each type of alert and the maintenance work for each component that requires maintenance.

[0117] Furthermore, in the information processing device 20A of the mine management device 2A according to the second embodiment described above, the alert reduction rate is defined as an index that increases as the number of alerts issued after each maintenance work decreases compared to the number of alerts issued before that maintenance work. Furthermore, the display processing (display processing unit 25A) of the information processing device 20A outputs a display command to display alert information suggesting the possibility of a false alert being issued in error when, for an alert of a mining machine 101-103, the coupling rate calculated by the coupling rate calculation processing (coupling rate calculation unit 24A) is smaller than a predetermined judgment value A (fifth judgment value) and the alert reduction rate calculated by the reduction rate calculation processing (coupling rate calculation unit 24A) is smaller than a predetermined judgment value C (sixth judgment value).

[0118] According to this configuration, by displaying the alert information of the false alert on the terminal device 3 of the support staff of the mining machines 101 to 103, it is possible to encourage the support staff to improve the false alert, and therefore it is possible to reduce the issuance of false alerts.

[0119] Furthermore, the display processing (display processing unit 25A) of the information processing device 20A of the mine management device 2A according to the second embodiment described above outputs a display command to display alert information suggesting the possibility of an overlooked alert, which is an alert that will be overlooked even if issued, when the coupling degree calculated as the result of the coupling degree calculation process (coupling degree calculation unit 24A) for an alert of a mining machine 101 to 103 is smaller than the predetermined judgment value A (fifth judgment value) and the alert reduction degree calculated as the result of the reduction degree calculation process (coupling degree calculation unit 24A) is larger than the predetermined judgment value C (sixth judgment value).

[0120] According to this configuration, by displaying alert information of an overlooked alert on the terminal device 3 of the maintenance planner 205, it is possible to reduce the occurrence of failures of components subject to maintenance due to overlooking an issued alert.

[0121] Furthermore, the display processing (display processing unit 25A) of the information processing device 20A of the mine management device 2A according to the second embodiment described above outputs a display command to display alert information suggesting the possibility of a maintenance repetition alert, which is an alert that will result in repeated maintenance, when the coupling degree calculated as the result of the coupling degree calculation process (coupling degree calculation unit 24A) for an alert of a mining machine 101 to 103 is greater than the predetermined judgment value A (fifth judgment value) and the alert reduction degree calculated as the result of the reduction degree calculation process (coupling degree calculation unit 24A) is smaller than the predetermined judgment value C (sixth judgment value).

[0122] According to this configuration, by displaying the alert information of the maintenance repetition alert on the terminal device 3 of the maintenance planner 205, it becomes possible to grasp the maintenance work for the maintenance target parts that need to be improved.

[0123] Furthermore, in the mine management devices 2, 2A according to the first and second embodiments described above, the alert data includes a unique alert number assigned to each alert, an alert identifier that identifies the type of alert, and an alert issuance time that is the time when the alert was issued, and the maintenance data includes a unique maintenance work number assigned to each maintenance work, a maintenance target part that is the part that was the target of the maintenance work, a maintenance start time that is the start time of the maintenance work, and a maintenance end time that is the end time of the maintenance work. Furthermore, the linking process (linking processing unit 23) of the information processing device 20, 20A links the alert number with the maintenance work number based on the temporal relationship between the alert issuance time in the alert data and the maintenance start time and maintenance end time in the maintenance data.

[0124] According to this configuration, by using the alert identifier and alert issuance time of the alert data linked to the maintenance work number and the alert number, and the maintenance target parts and maintenance start time and maintenance end time of the maintenance data, it is possible to link a predetermined type of alert issued during the operation period of the mining machines 101-103 with the performance data of the maintenance work for the predetermined parts of the mining machines 101-103 that was performed immediately after the issuance of the alert. This linking makes it possible to calculate the degree of connection, which is an index showing the degree of connection between the alert and the maintenance work of the mining machine 101.

[0125] Furthermore, to summarize the first and second embodiments described above, the mine management method by the mine management system 1 collects, accumulates, and processes alert data, which is data related to each alert of the mining machines 101-103, and maintenance data, which is data related to each maintenance work performed on the mining machines 101-103, and displays alert information, which is display information related to the alerts of the mining machines 101-103, on the terminal device 3 based on the processing results. The mine management method links the alert data and maintenance data of the mining machines 101-103 so that, for each maintenance work of the mining machines 101-103, all alerts issued during the operation period of the mining machines 101-103 between that maintenance work and the previous maintenance work are associated, calculates a degree of association, which is an index indicating the degree of association between the alerts and maintenance work of the mining machines 101-103, using the linked alert data and maintenance data, and displays the alerts of the mining machines 101-103 as alert information on the terminal device 3 based on the calculated degree of association.

[0126] According to this method, alert information for the mining machines 101-103 is displayed on the terminal device 3 based on the calculation result of the degree of coupling, which is an index showing the degree of coupling between the alerts of the mining machines 101-103 and maintenance work. Therefore, for users 200 who are required to make immediate decisions, only alert information with a high degree of coupling is presented, making it possible to avoid overlooking alerts that require maintenance. On the other hand, for users 200 who are reviewing maintenance, alert information with a low degree of coupling is presented, making it possible to avoid overlooking important alerts or reviewing alert settings to avoid excessive maintenance work. In other words, it is possible to present alert information for the mining machines 101-103 that enables appropriate maintenance of the mining machines 101-103.

[0127] [Other embodiments] It should be noted that the present invention is not limited to the first and second embodiments described above, and includes various modifications. The above embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. For example, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations. [Explanation of symbols]

[0128] REFERENCE SIGNS LIST 1... Mine management system, 2, 2A... Mine management device, 3... Terminal device, 10, 10A... Storage device, 20, 20A... Information processing device, 21... First record processing unit, 22... Second record processing unit, 23... Linking processing unit, 24, 24A... Coupling degree calculation unit, 25, 25A... Display processing unit, 101... Dump truck (mining machine), 102... Shovel (mining machine), 103... Dozer (mining machine)

Claims

1. A storage device that aggregates and stores alert data, which is data related to each alert on the mining machine, and also aggregates and stores maintenance data, which is data related to each maintenance operation performed on the said mining machine, A mining management system comprising an information processing device that collects the alert data and maintenance data of the mining machinery and records them in the storage device, and processes the alert data and maintenance data of the mining machinery and outputs them to a terminal device having a display function, The aforementioned information processing device is For each maintenance operation of the mining machine, a linking process is performed to associate all alerts issued during the operating period of the mining machine between that maintenance operation and the previous maintenance operation, by linking the alert data of the mining machine with the maintenance data of the mining machine and recording them in the storage device. A coupling degree calculation process is performed to calculate the coupling degree, which is an index indicating the degree of connection between the alerts of the mining machinery and the maintenance work of the mining machinery, using the alert data and maintenance data linked by the linking process. The system is configured to perform a display process that outputs a display command to the terminal device to display the alert of the mining machine as alert information, which is display information related to the alert of the mining machine, based on the coupling degree calculated as a result of the coupling degree calculation process. A mine management device characterized by the following features.

2. In the mine management device according to claim 1, The aforementioned coupling degree calculation process is performed by Based on the maintenance data and alert data stored in the storage device, the total number of alerts is calculated, which is the total number of alerts of a predetermined type issued for maintenance work performed during a predetermined period that is associated with a predetermined type of alert. Based on the maintenance data and alert data stored in the storage device, the number of component maintenance operations is calculated, which is the number of times a maintenance operation is performed during the predetermined period that is associated with a predetermined type of alert and targets a predetermined component. The coupling degree is calculated as the action rate, which is the ratio of the number of component maintenance cycles calculated to the total number of alerts calculated. A mine management device characterized by the following features.

3. In the mine management device according to claim 1, The aforementioned coupling degree calculation process is performed by Based on the maintenance data and alert data stored in the storage device, the total number of alerts is calculated, which is the total number of alerts of a predetermined type issued for maintenance work performed during a predetermined period that is associated with a predetermined type of alert. Based on the maintenance data and alert data stored in the storage device, the number of alerts, which is the number of times an alert of a predetermined type has been issued for maintenance work targeting a predetermined part among the maintenance work performed during the predetermined period, is calculated. The hit rate, which is the ratio of the number of alerts in the calculation result to the total number of alerts in the calculation result, is calculated as the coupling degree. A mine management device characterized by the following features.

4. In the mine management device according to claim 1, The aforementioned coupling degree calculation process is performed by Based on the maintenance data and alert data stored in the storage device, the elapsed time, which is the time from the issuance of each alert for the mining machine to the start of the maintenance work associated with that alert, is calculated. The coupling degree is calculated by aggregating the elapsed time from the calculation results, which is associated with a predetermined type of alert and is related to maintenance work during a predetermined period for a predetermined part. The degree of connection is defined as an index in which the degree of connection decreases as the aggregate value of the calculation result increases, and conversely, the degree of connection increases as the aggregate value of the calculation result decreases. A mine management device characterized by the following features.

5. In the mine management device according to claim 1, The display process outputs a display command to display only alerts where the coupling degree, which is the calculation result of the coupling degree calculation process, is greater than a preset first determination value, as alert information. A mine management device characterized by the following features.

6. In the mine management device according to claim 2, The aforementioned display process is, The action rate, which is the result of the coupling degree calculation process, is compared with a pre-set second judgment value. This outputs a display command that shows alert information based on the comparison results. A mine management device characterized by the following features.

7. In the mine management device according to claim 3, The aforementioned display process is, The hit rate, which is the result of the coupling degree calculation process, is compared with a pre-set third judgment value. This outputs a display command that shows alert information based on the comparison results. A mine management device characterized by the following features.

8. In the mine management device according to claim 4, The aforementioned display process is, The aggregated value of elapsed time, which is the result of the coupling degree calculation process, is compared with a pre-set fourth determination value. This outputs a display command that shows alert information based on the comparison results. A mine management device characterized by the following features.

9. In the mine management device according to claim 1, The aforementioned display process outputs a display command that, for specific types of alerts among the alerts of the mining machinery that have been set in advance, will always be displayed as alert information, regardless of the coupling degree calculated by the coupling degree calculation process. A mine management device characterized by the following features.

10. In the mine management device according to claim 1, The information processing device further performs a reduction calculation process to calculate an alert reduction degree, which is an indicator showing the degree to which the number of alerts issued during the operating period of the mining machine decreases before and after each maintenance operation of the mining machine. The display process outputs a display command to display the alert information according to the coupling degree, which is the result of the coupling degree calculation process, and the alert reduction degree, which is the result of the reduction degree calculation process. A mine management device characterized by the following features.

11. In the mine management device according to claim 10, The aforementioned alert reduction is defined as an indicator that increases as the number of alerts issued after each maintenance operation decreases compared to the number of alerts issued before that maintenance operation. The aforementioned display process outputs a display command to indicate the possibility of a false alert, which is an alert issued in error, if the coupling degree, which is the result of the coupling degree calculation process, is smaller than a preset fifth judgment value, and the alert reduction degree, which is the result of the reduction degree calculation process, is smaller than a preset sixth judgment value, for the alert of the mining machine. A mine management device characterized by the following features.

12. In the mine management device according to claim 10, The aforementioned alert reduction is defined as an indicator that increases as the number of alerts issued after each maintenance operation decreases compared to the number of alerts issued before that maintenance operation. The display process outputs a display command to indicate the possibility of an overlooked alert, which is an alert that may be overlooked even if issued, when the coupling degree, which is the result of the coupling degree calculation process, is smaller than a preset fifth judgment value, and the alert reduction degree, which is the result of the reduction degree calculation process, is larger than a preset sixth judgment value, for the alert of the mining machine. A mine management device characterized by the following features.

13. In the mine management device according to claim 10, The aforementioned alert reduction is defined as an indicator that increases as the number of alerts issued after each maintenance operation decreases compared to the number of alerts issued before that maintenance operation. The aforementioned display process outputs a display command to indicate the possibility of a maintenance recurrence alert, which is an alert that requires repeated maintenance, if the coupling degree calculated by the coupling degree calculation process is greater than a preset fifth judgment value, and the alert reduction degree calculated by the reduction degree calculation process is smaller than a preset sixth judgment value, for the alert of the mining machine. A mine management device characterized by the following features.

14. A mining management method that collects, stores, and processes alert data, which is data relating to each alert of a mining machine, and maintenance data, which is data relating to each maintenance operation performed on the mining machine, and displays alert information, which is display information relating to alerts of the mining machine, on a terminal device based on the processing results, For each maintenance operation of the mining machine, the alert data of the mining machine and the maintenance data of the mining machine are linked so that all alerts issued during the operating period of the mining machine between that maintenance operation and the previous maintenance operation are associated with that operation. The degree of connection between the alerts of the mining machinery and the maintenance work of the mining machinery is calculated using the linked alert data and maintenance data. The alert for the mining machine is displayed on the terminal device as alert information based on the calculated coupling degree. A mine management method characterized by the following features.

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