ROCK PROCESSING MACHINE WITH WEAR ASSESSMENT AND QUALITATIVE EVALUATION OF THE WEAR ASSESSMENT

Abstract

The present invention relates to a rock processing machine (12), which comprises: a material feeding apparatus (22) having a material buffer (24) for loading starting material (M) to be processed, at least one working apparatus (14, 16, 18) of: at least one crushing apparatus (14) and at least one screening apparatus (16, 18), at least one conveyor apparatus (26, 32, 36, 42) for conveying material (M) between two system components, a data processing apparatus (60) including a data memory (62), an output apparatus (108) connected to the data processing apparatus (60) in data-transmitting fashion for outputting information, wherein the data processing apparatus (60) is designed to ascertain, from data retrievable from the data memory (62) which are based on at least one data collection basis, wear information regarding the wear of a working tool configuration (72, 74, 75a) of the at least one working apparatus (14, 16, 18) and to output the wear information by way of the output apparatus (66, 108),

The invention provides for the data processing apparatus (60) to be designed to ascertain for the wear information, starting from at least one data collection basis, on which at least a portion of the data used for ascertaining the wear information is based, quality information regarding the wear information and to output this by way of the output apparatus (66, 108).

Claims

1-14. (canceled)

15. A rock processing machine comprising as machine components thereof: a material feeding apparatus having a material buffer configured to load starting material to be processed; at least one working apparatus comprising at least one crushing apparatus and/or at least one screening apparatus; at least one conveyor configured to convey material between two machine components; and a display functionally linked to a data processor having a data memory connected thereto and associated with the rock processing machine, wherein the data processor is configured to: ascertain, from data retrievable from the data memory which are based on at least one data collection basis, wear information regarding the wear of a working tool configuration of the at least one working apparatus; ascertain for the ascertained wear information, starting from at least one data collection basis, on which at least a portion of the data used for ascertaining the wear information is based, quality information regarding a quality of the wear information; and output the wear information and the quality information via the display.

16. The rock processing machine of claim 15, wherein the data processor is configured to ascertain the quality information associated with the ascertained wear information from the at least one data collection basis, from which the data used for ascertaining the wear information derive, and to output this quality information via the display.

17. The rock processing machine of claim 15, wherein the quality information comprises an assignment of the wear information to an accuracy class from a plurality of different predetermined accuracy classes, wherein each accuracy class of the plurality of accuracy classes represents a tolerance range of different magnitude, within which a deviation of the actual wear from the output wear information is permissible.

18. The rock processing machine of claim 17, wherein the data used for ascertaining the wear information comprise an operational capacity value of the working tool configuration, wherein the operational capacity value is based on at least one of the following distinct data collection bases in an order of increasing accuracy: a general specification of the operational capacity value; and a usage-related specification of the operational capacity value.

19. The rock processing machine of claim 17, wherein: the data used for ascertaining the wear information comprise a load value representing the usage load of the working tool configuration; and the load value is based on at least one of the following data collection bases in an order of increasing accuracy: a period of use elapsed since the wear-free working tool configuration entered into use; a usage quantity processed since the wear-free working tool configuration entered into use; and a usage load time or a usage load quantity as a period of use or usage quantity taking into account load effects that occurred during the use.

20. The rock processing machine of claim 19, comprising a wear ascertainment system configured to ascertain a state of wear of the working tool configuration, wherein the load value is based on the following data collection basis, along with the at least one other data collection bases, in the order of increasing accuracy: an ascertained range of motion of the working tool configuration, the range of motion changing as a function of the state of wear of the working tool configuration.

21. The rock processing machine of claim 19, comprising a wear sensor system configured to sensorially ascertain a state of wear of the working tool configuration, wherein the load value is based on the following data collection basis, along with the at least one other data collection bases, in the order of increasing accuracy: wear sensor data sensorially acquired at the working tool configuration.

22. The rock processing machine of claim 19, wherein: the data used for ascertaining the wear information comprise an operational capacity value of the working tool configuration, wherein the operational capacity value is based on at least one of the following distinct data collection bases in an order of increasing accuracy: a general specification of the operational capacity value; and a usage-related specification of the operational capacity value; and the individual accuracy classes of the plurality of accuracy classes differ from one another in terms of the data collection bases of the operational capacity value and/or of the load value.

23. The rock processing machine of claim 15, wherein the ascertained wear information indicates a remaining operational capacity until a wear limit is reached.

24. The rock processing machine of claim 15, wherein the working apparatus is a crushing apparatus, the rock processing machine comprising a controller configured to: change a crush gap width of a crush gap between two crushing tools as the working tool configuration of the crushing apparatus by displacing at least one crushing tool relative to the other crushing tool contributing to the formation of the crush gap; and ascertain wear information with respect to a state of wear of the working tool configuration by changing the crush gap to a crush gap width of zero.

25. The rock processing machine of claim 24, wherein: the data used for ascertaining the wear information comprise a load value representing a usage load of the working tool configuration; and the controller is configured to ascertain a state of wear of the working tool configuration, wherein the load value is based on the following data collection bases, in an order of increasing accuracy: an ascertained range of motion of the working tool configuration, the range of motion changing as a function of the state of wear of the working tool configuration; a period of use elapsed since the wear-free working tool configuration entered into use; a usage quantity processed since the wear-free working tool configuration entered into use; and a usage load time or a usage load quantity as a period of use or usage quantity taking into account load effects that occurred during the use.

26. The rock processing machine of claim 24, wherein the controller comprises the data processor.

27. The rock processing machine of claim 15, wherein, based on the quality information, the data processor ascertains and outputs time information for performing a future inspection of the working tool configuration.

28. The rock processing machine of claim 15, wherein: the ascertained wear information indicates a remaining operational capacity until a wear limit is reached; and the data processor is configured to compare a predicted state of wear for a future operating time with an ascertained state of wear of the working tool configuration within a predetermined time span after reaching the operating time, and based on a comparison of the predicted state of wear with the ascertained state of wear, to ascertain the quality information and/or ascertain and output time information for performance of a future inspection of the working tool system.

29. A method of conveying wear information for at least one working apparatus of a rock processing machine, the at least one working apparatus comprising at least one crushing apparatus and/or at least one screening apparatus, the rock processing machine associated with at least one data processor having a data memory connected thereto and linked to a display, the method comprising: retrieving data from the data memory, based on at least one data collection basis; ascertaining from the retrieved data wear information regarding the wear of a working tool configuration of the at least one working apparatus; ascertaining for the ascertained wear information, starting from at least one data collection basis, on which at least a portion of the data used for ascertaining the wear information is based, quality information regarding a quality of the wear information; and outputting the wear information and the quality information via the display.

30. The method of claim 29, comprising ascertaining the quality information associated with the ascertained wear information from the at least one data collection basis, from which the data used for ascertaining the wear information derive, and outputting the quality information via the display.

31. The method of claim 29, wherein the quality information comprises an assignment of the wear information to an accuracy class from a plurality of different predetermined accuracy classes, wherein each accuracy class of the plurality of accuracy classes represents a tolerance range of different magnitude, within which a deviation of the actual wear from the output wear information is permissible.

32. The method of claim 31, wherein: the data used for ascertaining the wear information comprise a load value representing the usage load of the working tool configuration; and the load value is based on at least one of the following data collection bases in an order of increasing accuracy: a period of use elapsed since the wear-free working tool configuration entered into use; a usage quantity processed since the wear-free working tool configuration entered into use; and a usage load time or a usage load quantity as a period of use or usage quantity taking into account load effects that occurred during the use.

33. The method of claim 32, comprising ascertaining a state of wear of the working tool configuration, wherein the load value is based on one or more of the following data collection basis, along with the at least one other data collection bases, in the order of increasing accuracy: an ascertained range of motion of the working tool configuration, the range of motion changing as a function of the state of wear of the working tool configuration; and wear sensor data sensorially acquired at the working tool configuration.

34. The method of claim 32, wherein: the data used for ascertaining the wear information comprise an operational capacity value of the working tool configuration, wherein the operational capacity value is based on at least one of the following distinct data collection bases in an order of increasing accuracy: a general specification of the operational capacity value; and a usage-related specification of the operational capacity value; and the individual accuracy classes of the plurality of accuracy classes differ from one another in terms of the data collection bases of the operational capacity value and/or of the load value.

Description

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

[0061] The invention will be explained in greater detail below with reference to the enclosed drawings.

[0062] FIG. 1 shows a rough schematic view of a job site with a specific embodiment of a rock processing machine according to the present disclosure.

[0063] FIG. 2 shows the rock processing machine of FIG. 1 in an enlarged schematic lateral view.

[0064] FIG. 3 shows an exemplary process for ascertaining a remaining tool lifetime on the rock processing machine of FIGS. 1 and 2.

DETAILED DESCRIPTION

[0065] A job site is generally denoted by 10 in FIG. 1. The central implement of the job site 10 is a rock processing machine 12 comprising an impact crusher 14 as a crushing apparatus and a pre-screen 16 as well as a post-screen 18 as screening apparatuses. The job site is in the present case preferably a rock quarry, but may also be a recycling yard or a demolition site of one or multiple buildings.

[0066] Mineral material M to be processed by the rock processing machine 12, that is, to be sorted according to size and to be crushed, is fed discontinuously by being loaded by a backhoe 20 as a loading apparatus of the rock processing machine 12 into a material feeding apparatus 22 having a funnel-shaped material buffer 24.

[0067] From the material feeding apparatus 22, a vibrating conveyor in the form of a trough conveyor 26 conveys the material M to the pre-screen 16, which comprises two pre-screen decks 16a and 16b, of which the upper pre-screen deck 16a has a greater mesh aperture and separates and feeds to the impact crusher 14 those grain sizes that require crushing according to the respective specifications for the final grain product to be obtained.

[0068] Grains falling through the upper pre-screen deck 16a are sorted further by the lower pre-screen deck 16b into a usable grain fraction 28, which corresponds to the specifications of the final grain product to be obtained and an undersize grain fraction 30, which has a grain size that is so small that it is unusable as value grain in the illustrated example.

[0069] The number of stockpiles or fractions shown in the exemplary embodiment is provided merely by way of example. The number may be greater or smaller than indicated in the example. Moreover, the undersize grain fraction 30 explained in the present example as waste could also be a value grain fraction if the grain size range accruing in the fraction 30 is usable for further applications.

[0070] The usable grain fraction 28 is increased by the crushed material output by the impact crusher 14 and is conveyed to the post-screen 18 by a first conveyor apparatus 32 in the form of a belt conveyor. In the illustrated exemplary embodiment, the post-screen 18 also has two screen decks or post-screen decks 18a and 18b, of which the upper post-screen deck 18a has the greater mesh aperture. The upper post-screen deck 18a allows value grain to fall through its mesh and sorts out an oversize grain fraction 34 having a grain size that is greater than the greatest desired grain size of the value grain. The oversize grain fraction 34 is returned by an oversize grain conveyor apparatus 36 into the material input of the impact crusher 14 or into the pre-screen 16. In the illustrated exemplary embodiment, the oversize grain conveyor apparatus 36 takes the form of a belt conveyor.

[0071] The useful grain of the useful grain fraction 28 thus comprises oversize grain and value grain. In contrast to the illustration in the exemplary embodiment, the oversize grain conveyor apparatus 36 may also be swiveled outward from a machine frame 50 of the rock processing apparatus 12, so that the oversize grain fraction 34 is stockpiled instead of being returned.

[0072] The value grain that fell through the meshes of the upper post-screen deck 18a is fractionated further by the lower post-screen deck 18b into a fine grain fraction 38 having a smaller grain size and an medium grain fraction 40 having a greater grain size.

[0073] Via a fine grain discharge conveyor apparatus 42 in the form of a belt conveyor, the fine grain fraction 38 is heaped to build a fine grain stockpile 44.

[0074] Via a medium grain discharge conveyor apparatus 46, likewise in the form of a belt conveyor, the medium grain fraction 40 is heaped to build a medium grain stockpile 48 (not shown in FIG. 1 and shown only in rough schematic fashion in FIG. 2).

[0075] As a central structure, the rock processing machine 12 has a machine frame 50, on which the mentioned machine components are fastened or supported directly or indirectly. As central power source, the rock processing machine 12 has a diesel combustion engine 52 supported on the machine frame 50, which generates the entire energy consumed by the rock processing machine 12, unless it is stored in energy stores such as batteries, for example. Additionally, the rock processing machine 12 may be connected to job site electrical current, if provided on the job site.

[0076] In the illustrated example, the rock processing machine 12, which may be part of a rock processing system having a plurality of rock processing machines situated in a common flow of material, is a mobile, more precisely a self-propelled, rock processing machine 12 having a crawler travel gear 54, which via hydraulic motors 56 as drive of the rock processing machine 12 allows for a self-propelled change of location without an external towing vehicle.

[0077] A reduction of the value grain stockpiles 44 and 48 and of the stockpile of the undersize grain fraction 30 occurs discontinuously by one or several wheel loaders 58 as an example of a removal apparatus. The stockpile of the undersize grain fraction 30 must also be reduced regularly in order to ensure an uninterrupted operation of the rock processing machine 12.

[0078] For an operational control that is as advantageous as possible, the rock processing machine 12 includes the machine components described below with reference to the larger illustration of FIG. 2.

[0079] The rock processing machine 12 comprises a control apparatus 60, for example in the form of an electronic data processing apparatus with integrated circuits, which controls the operation of machine components. For this purpose, the control apparatus 60 may either control drives of machine components directly, for example, or may control actuators which in turn are able to move components.

[0080] The control apparatus 60 is connected to a data memory 62 in signal-transmitting fashion for exchanging data and is connected wirelessly or by cable to an input apparatus 64 for inputting information. Via the input apparatus 64, for example a touchscreen, a tablet computer, a keyboard and the like, information may be input into the input apparatus 64 and may be stored by the latter in the data memory 62.

[0081] The control apparatus 60 is furthermore connected in signal-transmitting fashion to an output apparatus 66 in order to output information.

[0082] For obtaining information about its operating state, the rock processing machine 12 furthermore has diverse sensors, which are connected in signal-transmitting fashion to the control apparatus 60 and thus in the illustrated example indirectly to the data memory 62. For better clarity, the sensors are shown only in FIG. 2.

[0083] A camera 70 is situated on a supporting frame 68, which records images of the material feeding apparatus 22 with the material buffer 24 and transmits these to the control apparatus 60 for image processing. With the aid of camera 70 and by processing the images it records of the material buffer 24 and of the material feeding apparatus 22, the control apparatus ascertains a local fill ratio of the material buffer 24 by using data relationships stored in the data memory 22.

[0084] Furthermore, a vibration amplitude and vibration frequency of the drive (not shown) of the trough conveyor 26 are detected and transmitted to the control apparatus 60, which ascertains from this information a conveying speed of the trough conveyor 26 and ascertains a conveying capacity of the trough conveyor 26 toward the impact crusher 14 by considering the local fill ratio of the material buffer 24.

[0085] With the aid of predetermined data relationships, generated and/or developed by methods of artificial intelligence, the control apparatus 60 is able to detect from image information of camera 70 a grain size distribution in the material M in the material buffer 24 and even detect the type of material.

[0086] In impact crusher 14, an upper impact wing 72 and a lower impact wing 74 are situated as crushing tools in a manner known per se, the rotational position of the upper impact wing 72 being detected by a rotational position sensor 76 and the rotational position of the lower impact wing 74 being detected by a rotational position sensor 78 and being transmitted to the control apparatus 60. Via the rotational position sensors 76 and 78, the control apparatus 60 is also able to ascertain a crush gap width of an upper crush gap on the upper impact wing 72 and a crush gap width of a lower crush gap on the lower impact wing 74.

[0087] By way of the rotational position sensors 76 and 78, it is possible to ascertain a state of wear of the impact crusher 14 as the working apparatus of the rock processing machine in the course of a zero-point determination customary for the illustrated construction type of rock processing machine 12. For this purpose, a crush gap width in the upper and in the lower crush gap is respectively set to zero, i.e., the impact wings 72 and 74 are moved to make physical contact with the impact bars 75a (for better clarity only one impact bar is provided with reference sign 75a) of the central crushing rotor 75. Based on the resulting wear-dependent rotational position of the impact wings 72 and 74, it is possible to draw quantitative and/or qualitative inferences regarding the state of wear of the impact wings 72 and 74 as well as of the impact bars 75a in the crushing rotor 75.

[0088] Hence, the rotational position sensors 76 and 78 form together with the control apparatus 60 a wear ascertainment system in the sense of the above description introduction.

[0089] A speed sensor 80 ascertains the speed of the crushing rotor of the impact crusher 14 and transmits it to the control apparatus 60.

[0090] On components such as blow bars, impact wings, impact plates and impact bars as crushing tool configurations for example, which are particularly subject to wear, wear sensors may be provided which register wear progress, normally in wear stages, and transmit this information to the control apparatus 60. In the illustrated example, for better clarity, a wear sensor system 82 is shown only on the lower impact wing 74. A wear sensor system is preferably also provided on the upper impact wing 72.

[0091] In the first conveyor apparatus 32, a first belt scale 84 is situated, which detects the weight or the mass of the material of the useful grain fraction 28 transported across it on the first conveyor apparatus 32. Via a speed sensor 86 in a deflection pulley of the conveyor belt of the first conveyor apparatus 32, the control apparatus 60 is able to ascertain a conveying speed of the first conveyor apparatus 32 and in joint consideration with the detection signals of the first belt scale 84 is able to ascertain a conveying capacity of the first conveyor apparatus 32.

[0092] A second belt scale 88 is situated in the fine grain discharge conveyor apparatus 42 and detects the mass or the weight of the fine grain of the fine grain fraction 38 moved across it on the belt of the fine grain discharge conveyor apparatus 42. In the same way, via the speed sensor 90 in a deflection pulley of the conveyor belt of the fine grain discharge conveyor apparatus 42, a conveying speed of the fine grain discharge conveyor apparatus 42 and in joint consideration with the detection signals of the second belt scale 88, a conveying capacity of the fine grain discharge conveyor apparatus 42 can be ascertained by the control apparatus 60.

[0093] A third belt scale 92 is situated in the oversize grain conveyor apparatus 36 and ascertains the weight or the mass of the oversize grain of the oversize grain fraction 34 conveyed across it on the oversize grain conveyor apparatus 36. A speed sensor 94 of a deflection pulley of the conveyor belt of the oversize grain conveyor apparatus 36 ascertains the conveying speed of the oversize grain conveyor apparatus 36 and transmits it to the control apparatus 60, which in joint consideration with the detection signals of the third belt scale 92 is able to ascertain a conveying capacity of the oversize grain conveyor apparatus.

[0094] At the discharge-side longitudinal end of the fine grain discharge conveyor apparatus 42, a first stockpile sensor 96 is situated, which as a camera records images of the fine grain stockpile 44 and transmits these as image information to a control apparatus 60. The control apparatus detects contours of the fine grain stockpile 48 by image processing and based on the known image data of the camera of the first stockpile sensor 96 starting from the detected contours ascertains a shape and from that a volume of the fine grain stockpile 48. For this purpose, to simplify its information ascertainment, the control apparatus 60 may assume an ideal conical shape of the fine grain stockpile 48 and ascertain the volume of an ideal cone approximating the real fine grain stockpile 48 without excessive error. Thus, it may suffice if a stockpile sensor ascertains the diameter D of the base area of a stockpile and the height h of the stockpile, as is shown in FIG. 2 of stockpile 48.

[0095] Each discharge conveyor apparatus producing a stockpile preferably has at least one stockpile sensor or at least cooperates with a stockpile sensor.

[0096] The other discharge conveyor apparatuses, such as the medium grain discharge apparatus 46 and an undersize grain discharge apparatus 29, preferably also have belt scale and a speed sensor for detecting the quantity of material transported on the respective conveyor apparatus, the conveying speed and hence the conveying capacity.

[0097] The control apparatus 60 is connected in data-transmitting fashion to a transmitting/receiving unit 104, which is designed for wireless data transmission in a suitable data protocol with a communication apparatus 105. The communication apparatus 105 may be situated at a distance from the rock processing machine 12 and may itself in turn be connected in data and signal-transmitting fashion to a spatially remote database and/or electronic data processing system 107. Data that are not available in data memory 62 may thus be retrieved by the control apparatus 60 via the transmitting/receiving unit 104.

[0098] The control apparatus 60 and with it the output apparatus 66 have a display apparatus 108, for example in the form of a monitor, for outputting data in the form of graphics and text.

[0099] An exemplary method for ascertaining wear information and quality information associated with the wear information for the impact crusher 14 as the working apparatus of the rock processing machine 12 of FIGS. 1 and 2 is explained below in connection with FIG. 3.

[0100] The method starts in step S100, for example because an operator has input a request for the output of wear information in the form of a remaining tool lifetime via the input apparatus 64 into control apparatus 60 or because due to the expiration of a predetermined time span an ascertainment of wear information is triggered in automated fashion or because such wear information is continuously ascertained in operation.

[0101] In step S102, the control apparatus 60, which in the present case is a data processing apparatus in the sense of the description introduction, ascertains whether usage-related data exist for ascertaining wear information about the state of wear of the impact crusher 14.

[0102] If no usage-related data exist, the ascertainment method continues with step S104 and ascertains wear information about the remaining tool lifetime from manufacturer data generally stored in the data memory 62 via a tool lifetime, statistically averaged or theoretically calculated from constructional data, as the operational capacity of the crushing tool configurations used in the impact crusher 14, comprising the upper and the lower impact wing 72 and 74, respectively, as well as the impact bars 75a of the crushing rotor 75, and the period of use elapsed since the installation of the crushing tool configurations as the difference between the tool lifetime and the period of use.

[0103] The method then continues with step S106, in which the thus ascertained remaining tool lifetime is output to the operator together with the quality information low accuracy via the display apparatus 108. The quality information is linked to the quality of the available data about the crushing tool configurations. Whenever usage data are not available and one must rely merely on generally provided manufacturer data or data of a tool repairer, the information is output that the ascertained remaining tool lifetime has the lowest possible accuracy or is associated with the predetermined quality class having the lowest accuracy.

[0104] Then, if it is determined in step S102 that usage data are available, a check is performed in step S108 to determine whether or not the usage data for the concretely working rock processing machine 12 are based on a predetermined threshold number of usage events.

[0105] If the number of usage events for the usage data of the concrete rock processing machine 12 does not reach the threshold number, the control apparatus 60 in step S110 ascertains from the available usage data a tool lifetime and a usage load time for the crushing tool configurations used in the impact crusher 14 of the rock processing machine 12. The tool lifetime is thus based on practical experiences from earlier uses, which are statistically only moderately supported due to the low number of usage events. The usage load time is based on the elapsed usage time, as in the previous case, which, however, on account of the usage data is corrected upward or downward depending on the intensity of the operational use in order to take into account the use-specific usage load of the crushing tool configurations.

[0106] In step S112, the control apparatus 60 then outputs via the display apparatus 108 the wear information in the form of the ascertained remaining tool lifetime as the difference between the ascertained tool lifetime and the ascertained usage load time. Because of the data on which this ascertainment is based or the data collection bases on which these data in turn are based, the control apparatus 60 outputs in step S112 together with the ascertained remaining tool lifetime the quality information medium-low accuracy. Although due to their type, namely as experiential data from earlier usage events, the available data are based on a more accurate data collection basis than in the previously described case, the scope of the data collection basis is not sufficient for an assignment to an even higher accuracy class.

[0107] However, if the check in step S108 determines that usage data exist based on a number of earlier usage events that is higher than the predetermined threshold number, then a check is performed in step S114 to determine whether or not wear data ascertained by a wear ascertainment system or by a wear sensor system exist in the rock processing machine 12.

[0108] If no wear data directly ascertained in the rock processing machine 12 exist, the remaining tool lifetime is ascertained in step S116 as before in step S110. In step S118, the control apparatus 60 outputs via the display apparatus 108 the ascertained remaining tool lifetime together with the quality information medium-high accuracy. Since due to the manner of their collection the same data exist as in step S110, the remaining tool lifetime is calculated in step S116 in the same way as in step S110. However, since the scope of the data collection basis is greater than in step S110, due to the higher number of earlier usage events on which the usage data are based, the now ascertained remaining tool lifetime is assigned to a next-higher quality class.

[0109] If the check in step S114 results in the determination that wear data ascertained directly at the rock processing machine 12 itself exist, which is the case for the rock processing machine 12 of FIGS. 1 and 2 due to the described sensor system, the remaining tool lifetime is ascertained in step S120 for example based on the state of wear ascertained most recently by the wear ascertainment system or the wear sensor system and further based on the usage load acting on the crushing tool configurations since this last point in time and the usage load time determined therefrom.

[0110] For example, a most recent zero-point ascertainment 40 hours prior to the check of the remaining tool lifetime according to step S100 yielded the result that the crushing tool configurations were worn by 13% compared to their unworn state. During these last 40 hours, the rock processing machine crushed demolished concrete to a maximum grain size of the final grain product of 45 mm. From these data, the control apparatus 60 ascertains in step S120 that the last 40 usage hours resulted in further wear of 21 percentage points relative to the unworn initial state. All in all, the crushing tool configurations are therefore worn by 34%, which at an initial tool lifetime of 210 hours results in a remaining tool lifetime of 139 hours.

[0111] Alternatively, the calculation can also be performed in such a way that from a tool lifetime of 210 hours of the crushing tool configurations, a calculated wear of 27 usage hours was ascertained during the most recent sensorial ascertainment. The usage data for the past 40 hours result in a usage load time, corrected based on the usage load, of 44 hours, so that the past total load, when taking into account the last wear ascertainment and the further usage load since then, is 27+44=71 hours. Consequently, this time-based calculation route also results in a remaining tool lifetime of 139 hours.

[0112] In step S122, the control apparatus 60 outputs the remaining tool lifetime of 139 hours via the display apparatus 108 together with the quality information high accuracy via the display apparatus 108. The accuracy class high accuracy is always assigned when a state of wear, ascertained at the working apparatus, that is, here the impact crusher 14, of the concrete rock processing machine 12, together with usage data based on a high number of previous usage events are available in order to ascertain a remaining operational capacity.

[0113] The present exemplary embodiment is merely illustrative and may be subdivided further. For example, the check regarding the data collection bases may already be branched out earlier, for example to determine whether or not a state of wear ascertained via a wear ascertainment system or a wear sensor system is available. The issue whether a state of wear is ascertainable by on-board means of the rock processing machine 12 is normally independent of the number of usage events on which historical usage data of the same or constructionally identical crushing tool configurations are based.

[0114] The four quality classes described above may each be assigned different tolerance ranges, which are output either together with the quality information or which are known to the machine operator by instruction on the respective rock processing machine.