Method for controlling and / or regulating the feed of material to be processed to a crushing and / or screening plant of a material processing facility

Abstract

Method for controlling and / or regulating the conveyance of material to be processed, in particular rock material, to a crushing (50) and / or screening plant (30) of a material processing facility (10), wherein the material to be processed is conveyed to the crushing (50) and / or screening plant (30) by means of a conveying device (23), characterized by that the properties of the material to be processed are determined, that a volume flow rate of the material to be processed is determined, that, taking into account the nature and volume flow of the material to be processed, the conveying speed of the conveying device (23) is controlled and / or regulated, that, based on the nature and volume flow of the material to be processed, a residence time of the material to be processed in the crushing (50) and / or screening plant (30) or in an area of ​​the crushing (50) and / or screening plant (30) is predicted, and that the predicted residence time of the material to be processed is used to control and / or regulate the conveying speed of the conveying device (23).

Description

[0001] The invention relates to a method for controlling and / or regulating the feed to be processed material, in particular rock material, to a crushing and / or screening plant of a material processing facility, wherein the material to be processed is fed to the crushing and / or screening plant by means of a conveying device.

[0002] The invention also relates to a material processing device with a crushing and / or screening plant for processing a material, in particular rock material, wherein the material to be processed is conveyed to the crushing and / or screening plant by means of a conveying device.

[0003] Such material processing devices according to the invention can be used, for example, for crushing and / or sorting feed material, in particular rock materials such as natural stone, concrete, bricks, or recycled material. The material to be processed is fed to a feed unit of the material processing device, for example in the form of a hopper, and conveyed via a conveying device, for example a vibratory feeder or a belt conveyor, to a crusher and / or a screen. A pre-screening unit can also be installed upstream of the crusher, for example to bypass fines or medium-sized particles that already have a suitable particle size. The pre-screening unit can be part of the conveying device.

[0004] The performance and efficiency of such material processing facilities depend significantly on a demand-based feed of the material being processed. For example, an excessively high fill level in a crusher leads to high mechanical stress and excessive wear. If the fill level is too low, the desired quality of the end product is no longer achieved. In screening plants, on the other hand, the separation efficiency decreases noticeably with increasing layer thickness on the screen surface. Therefore, in order to operate material processing facilities, and especially crushing and / or screening plants, within favorable operating ranges, feed control is essential.

[0005] For example, operating parameters such as crusher fill level, drive system utilization, or operating loads occurring at the crusher or screen can be determined and used to control the feed rate. This allows for a response to overload or underload. Such a method is known from DE 10 2017 124 958 A1.

[0006] From DE 10 2012 016 332 B4 a method for controlling a volume flow of bulk materials supplied to a working machine is known.

[0007] AT 523 812 A1 discloses a method for controlling a vibrating conveyor for a crusher.

[0008] The object of the invention is to provide an improved method for controlling and / or regulating the feed of material to be processed into a crushing and / or screening plant of a material processing unit. It is further an object of the invention to provide a material processing unit that is configured to carry out such a method.

[0009] The problem relating to the method is solved by the features of claim 1. Thus, it is provided that a property of the material to be processed is determined, that a volume flow rate of the material to be processed is determined, and that, taking into account the property and the volume flow rate of the material to be processed, a conveying speed of the conveying device is controlled and / or regulated.

[0010] According to the invention, predictive process parameters, namely the volume flow rate of the material to be processed and / or the properties of the material to be processed, are used for control. This prevents, or at least largely prevents, the risk of overload and / or underload situations. In this way, the production process and thus machine utilization, fuel efficiency, and the quality of intermediate and final products can be improved.

[0011] According to the invention, it is not only possible to react to an overload or underload situation. The volume flow rate and / or material properties can be determined before the material to be processed reaches the crushing and / or screening unit. It is therefore possible to determine how much material and / or what type of material will reach the crushing and / or screening unit. Taking these predictive parameters into account, the control of the conveying speed of the conveying unit can be improved.

[0012] For example, it is conceivable that the determined volume flow rate and / or the determined properties are transferred to a data processing unit, such as a computing and / or storage unit of the material processing system. Using the data processing unit, a target conveying speed can be determined based on the transferred parameters. For example, one or more tables, characteristic curves, and / or functional relationships can be stored in the data processing unit, which, based on the entered predictive parameters, enable the determination of a target conveying speed. The conveying system can then be controlled or regulated to achieve this target conveying speed.

[0013] Accordingly, the feed of material to be processed to the crushing and / or screening device can be regulated in advance so that no overload or underload occurs, or that the frequency of overload or underload situations can at least be reduced.

[0014] Alternatively or additionally, it is conceivable that the predictive parameter(s) is / are used to adjust other and / or further machine parameters, such as adjusting a crushing gap, a rotor speed of an impact crusher, an excitation frequency and / or amplitude of a screening plant and / or a pre-screen.

[0015] Preferably, it can be provided that a speed of the material to be processed is determined, that a layer height of the material to be processed on the conveying device is determined, and that the volume flow of the material to be processed is determined from the determined layer height, the determined speed and a geometry of the conveying device.

[0016] The specifications can advantageously include a feed size and / or a type of material to be processed, particularly a rock type. A feed size could, for example, be the average grain size of the material to be processed. However, it is also conceivable to define a grain size distribution or a maximum grain size as the feed size. The feed size is a suitable parameter for drawing conclusions about the stress exerted on the crushing and / or screening equipment by processing the material. Therefore, it is a suitable parameter to be considered when regulating and / or controlling the feed rate. For example, larger feed sizes, especially larger rock fragments, may be more difficult to crush, so it may be necessary to reduce the conveying rate, even if the flow rate is potentially low.

[0017] The type of rock also influences the crushing and / or screening processes. In particular, the rock type can determine the hardness of the material being processed, which can, for example, also affect the appropriate conveying speed.

[0018] It may be provided that the composition and / or the layer height is determined by means of at least one sensor, and / or that the speed is determined by means of a speed measuring device.

[0019] It may further be stipulated that at least one sensor is an imaging sensor, in particular a camera, stereo camera, time-of-flight camera, or laser scanner. A camera, for example, may be capable of producing two-dimensional color images or black-and-white images. Stereo cameras, time-of-flight cameras, or laser scanners can alternatively or additionally capture three-dimensional images.

[0020] According to a preferred embodiment of the invention, it can be provided that images recorded by means of the at least one sensor are evaluated by means of at least one image recognition algorithm and / or object recognition algorithm, wherein the evaluation is directed towards the determination of at least one target parameter, preferably a property and / or layer height of the material to be processed.

[0021] In this context, it may be possible, in particular, to divide at least one target variable into classes, and to assign each image to one of the target variable classes through image analysis. For example, the layer height could be divided into two to six classes. It is also conceivable that the sample size of the material to be processed could be divided into two or more classes.

[0022] According to a preferred embodiment of the invention, the at least one image recognition algorithm and / or object recognition algorithm can be performed at least partially by at least one artificial neural network (ANN), in particular by at least one multi-layered ANN, preferably by at least one convolutional ANN. It is particularly conceivable that the at least one ANN performs at least parts of the image recognition algorithm and / or object recognition algorithm. ANNs are particularly suitable for determining desired parameters, such as layer height and / or a property, such as rock type, and / or a target parameter, based on the images acquired by the at least one sensor. In particular, ANNs are especially suitable for assigning images to classes of a target parameter.

[0023] The complexity of KNNs can be reduced by using multiple KNNs to analyze the captured images. Specifically, one KNN could be used to determine the layer thickness, another to determine the type of material being processed, and / or another to determine the task size. This allows for a specialized KNN to be used for each task, and of course, multiple KNNs can be used for a single task. Furthermore, the algorithms become modular, as the specialization allows for the KNN modules to be extended as needed without requiring retraining of existing modules. For example, it is conceivable to initially use only one KNN to determine the layer thickness.In this case, another module, for example to determine the rock type, can simply be added later without having to change and / or retrain the existing KNN for determining layer heights.

[0024] The processing time for evaluating the captured images can be reduced if the multiple KNNs are operated in parallel in one operating mode, in particular if the KNNs are distributed across multiple processing units and / or CPUs, and preferably if each KNN is assigned its own processing unit and / or CPU. The processing units and / or CPUs can be part of the data processing system of the material processing system.

[0025] However, serial evaluation of multiple target variables in a KNN is also conceivable. This may require higher processing power from the processing unit. If only one KNN is used to evaluate multiple target variables, the effort required to maintain the training data can be reduced, as, for example, only one training database needs to be maintained.

[0026] According to the invention, the speed measuring device can be a mechanical speed measuring device. For example, measuring wheels with incremental sensors are suitable. However, it is preferred that the speed measuring device be a non-contact speed measuring device, in particular a radar-, ultrasound- or laser-based speed measuring device.

[0027] According to the invention, it is provided that, based on the nature and volume flow of the material to be processed, a residence time of the material to be processed is predicted, and that the predicted residence time of the material to be processed is used to control and / or regulate the conveying speed of the conveying device.

[0028] The residence time can be the length of time that a volume or mass element of material to be processed requires to be processed in the crushing and / or screening plant or in a section of the crushing and / or screening plant. For example, the residence time can be the length of time that a volume or mass element of material to be processed remains in a crushing unit that effects the comminution.

[0029] In this sense, the inverse throughput of the crushing and / or screening plant can also correspond to a residence time. If the residence time is predicted and taken into account when regulating and / or controlling the conveying speed, the conveying speed can be regulated and / or controlled in such a way that the material to be processed has sufficient time, corresponding to the residence time, to be properly processed in the crushing and / or screening plant. In other words, a material feed rate and / or conveying speed can be achieved that, with a residence time corresponding to the predicted residence time, does not lead to underfilling or overfilling and / or overloading of the crushing and / or screening plant.

[0030] Improved prediction of residence time can be achieved by taking into account the type of equipment and / or the configuration of the equipment, in particular the tooling, and / or the drive speed of the material processing equipment and / or the crushing and / or screening plant.

[0031] According to one embodiment of the invention, the control and / or regulation of the conveying speed of the conveying system can be continuously adjusted by monitoring the fill level of the crushing plant, and / or the capacity utilization of the crushing plant, and / or the capacity utilization of a drive motor of the crushing and / or screening plant. These parameters allow conclusions to be drawn as to whether the control and / or regulation of the conveying speed is suitable for avoiding overload and / or underload situations. In particular, it is conceivable that the monitoring of one or more of the aforementioned parameters is carried out, for example, by sensors. The sensors can then transmit the parameters, for example, to the data processing unit of the material processing system. Based on the results, the stored tables and / or characteristic curves and / or functional relationships can be adjusted automatically and / or manually, if necessary.For example, if an overload is detected, the target conveying speed for the determined volume flow and / or the determined properties of the material to be processed can be adjusted downwards for future operation.

[0032] In particular, it is also conceivable that one or more k-nearest neighbors (KNNs) could be used to control the conveying speed of the conveying system. These could, for example, be implemented on the data processing unit. Based on the parameters described above, such as the fill level of the crushing plant, and / or the capacity utilization of the crushing plant, and / or the capacity utilization of a drive motor of the crushing and / or screening plant, the KNN(s) can be continuously supplied with training data. This allows for continuous refinement of the control system.

[0033] According to a preferred embodiment of the invention, it may be provided that further parameters are used to control and / or regulate the conveying speed of the conveying device, in particular a layer height on a pre-screen and / or on the screening plant and / or a fill level of the crushing plant and / or a mechanical load on the crushing plant and / or the pre-screen, and / or a drive power of a drive motor of the crushing and / or the screening plant and / or a pre-screen.

[0034] The problem relating to the material processing device is solved by the features of claim 15. According to the invention, the material processing device is configured to enable the determination of the properties of the material to be processed, the determination of the volume flow rate of the material to be processed, and the control and / or regulation of the conveying speed of the conveying device, taking into account the properties and the volume flow rate of the material to be processed.

[0035] The invention will be explained in more detail below with reference to an embodiment illustrated in the drawings. The drawings show: Fig. 1 in a lateral, partially cut-away schematic representation a material processing device and Fig. 2 An exemplary block diagram of a parallel evaluation of images by artificial neural networks.

[0036] Fig. Figure 1 shows a side view, partially cut away, of a material processing unit 10. The material processing unit 10 can be designed as a mobile unit with a chassis 11 and, for example, a chain drive 13. The material processing unit 10 can include a crushing unit 50 and / or a screening unit 30.

[0037] The material processing unit 10, in particular a feed unit 20, may also be equipped with a hopper 21, which may have hopper walls 22. The hopper 21 may serve to receive feed material 70 from an upstream conveying system, for example an excavator, a wheel loader or a conveyor belt, and to direct it onto a conveying device 23.

[0038] The crushing plant 50 and / or the screening plant 30 can be fed feed material 70 in a conveying direction F for processing by means of the conveying device 23. In this case, the conveying device 23 is designed as a vibrating feed chute. However, other designs of a conveying device 23, in particular as a conveyor belt, are also conceivable.

[0039] The screening plant 30 can, for example, be installed upstream of the crushing plant 50 as a pre-screening unit. The pre-screening unit can have a double-deck heavy-duty screen 31, which can have an upper deck 32 designed as a coarser screen and a lower deck 34 designed as a finer screen. It can be set into circular vibration by a drive 33. The upper deck 32 can separate a fine fraction 71 and a medium fraction 72 from the material 73 to be crushed. The lower deck 34 can separate the fine fraction 71 from the medium fraction 72. The fine fraction 71 can optionally be discharged from the material shredding plant 10 or, for example, fed to the medium fraction 72 by appropriately positioning a bypass flap. The medium fraction 72 can be conveyed via a bypass past the crusher 50 to a crusher discharge conveyor 40. The material 73 to be crushed is fed to the crusher 50 via a crusher inlet at the end of the pre-screening stage. The pre-screening stage can be part of the conveying system 23.

[0040] The material processing unit 10 can include a crushing plant 50 designed as a jaw crusher. However, it is also conceivable to provide other types of crushing plant 50, for example, impact crushers, roller crushers, or cone crushers. The crushing plant 50 can have a fixed crushing jaw 51 and a moving crushing jaw 52, ​​which can be arranged at an angle towards each other, so that a tapered shaft is formed between them. The shaft can open into a crushing gap 56. The crushing plant 50 can, for example, be driven by a drive unit 12 via a drive shaft 55 connected to an eccentric 54.

[0041] The eccentric 54 moves the moving crushing jaw 52 in an elliptical motion towards and away from the stationary crushing jaw 51. During each stroke, the distance between the crushing jaws 51 and 52 in the area of ​​the crushing gap 56 also changes. The movement of the moving crushing jaw 52 continuously reduces the material 73 to be crushed along the shaft until it reaches a particle size that allows it to exit the shaft through the crushing gap 56. The crushed material 74 falls onto the crusher discharge conveyor 40 and is conveyed further. It may also be conveyed, for example, past a magnetic separator 41, which separates ferromagnetic components from the crushed material 74 and discharges them laterally.

[0042] As in Fig. As can be seen further in Figure 1, the material processing device 10 can have a sensor 101. It is also conceivable that several sensors 101 are provided. As shown in the exemplary embodiment, the sensor 101 can be a camera. The camera can include a lens 102. The sensor 101 or sensors 101 can be held on the material processing device 10 by means of a sensor holding device 110. The sensor holding device 110 can be a mast to which the sensor 101 or sensors 101 are attached.

[0043] The sensor 101 can be attached to the material processing device 10 directly or indirectly by means of a sensor adjustment device 111. In this case, the sensor 101 is attached to the material processing device 10 indirectly via the sensor mounting device 110 and a sensor adjustment device 111. The sensor adjustment device 111 can, for example, provide a hinged connection to the sensor mounting device 110, allowing the sensor 101 or sensors 101 to be pivoted, for example, to enable different orientations of the sensor 101 or sensors 101. It is also conceivable to attach the sensor 101 or sensors 101 to the material processing device 10 and / or the sensor mounting device 110 in a height-adjustable manner.

[0044] The sensor 101 can have a detection volume 103. This can be defined, for example, by the opening angle of a lens 102. The sensor 101, either on its own and / or in combination with a lens 102, can be configured to detect a measuring range 104. The measuring range 104 of the sensor 101 can be located within the area of ​​the conveyor 23.

[0045] In this case, the detection area 104 is oriented such that it encompasses parts of the material to be processed that are located on the conveying device 23 in the area of ​​pre-screening and upstream of it in the conveying direction. The position of the measuring area 104 of the sensor 101 can also be chosen differently, although preferably at least part of it is located upstream of the screen (30) and / or crusher (50) in the conveying direction. It is also conceivable to provide several measuring areas 104 with different positions, particularly when using multiple sensors 101.

[0046] As from the Fig. As further shown in Figure 1, a level sensor 61 can be assigned to the crushing plant 50. This sensor can be an ultrasonic sensor. However, it is also conceivable to use other types of sensors, such as optical sensors (e.g., a camera system), radar sensors, or mechanical sensors. The level sensor 61 can monitor the fill level of the crusher 50 with material 73 to be crushed.

[0047] During operation of the material processing unit 10, material to be processed is conveyed on the conveyor 23 towards the crushing unit 50 and / or the screening unit 30. The material to be processed, which is located within the measuring range 104 of one or more sensors 101, is monitored. For example, the properties of the material to be processed are continuously determined.

[0048] The characteristics of the material can refer, for example, to the size of the workpiece and / or the type of material to be processed. The characteristics are determined, for example, using a sensor 101 designed as a camera. However, it is also conceivable that the characteristics are selected, for example, using GPS data based on values ​​typical for the respective location of use of the material processing equipment.

[0049] Preferably, at least one sensor 101 captures images 106, which can be transmitted to a data processing unit (not shown) of the material processing unit 10. The data processing unit can be configured to execute image recognition algorithms to determine the properties of the material from the images 106. The use of object recognition algorithms is also conceivable.

[0050] However, it is particularly preferred that a KNN 130, 131, 132, 133, 134 is used for image recognition. The KNN 130, 131, 132, 133, 134 can be pre-trained with datasets of images 106 with known characteristics such as the task size and / or the rock type. For example, the KNN 132 can recognize different classes 132.1, 132.2, 132.3, 132.4 of task sizes.

[0051] This makes it possible to determine the properties of the material that subsequently reaches the crushing plant 50 and / or the screening plant 30.

[0052] Furthermore, it may be provided that, alternatively or additionally, the volumetric flow rate of the material to be processed is determined. Preferably, a velocity measuring device is provided for this purpose, which is not shown in the figures. From this, for example, the velocity of the material to be processed located on the conveyor 23 can be determined.

[0053] To determine the volumetric flow rate, the layer height of the material being processed on the conveyor 23 can also be determined. For this purpose, the sensor 101 described above, which is used to determine the material's properties, or alternatively another sensor 101, can be used. The layer height can also be classified into several classes 130.1, 130.2, 130.3, 130.4, etc., and evaluated using a KNN 130 as described above.

[0054] Preferably, the evaluation of the images 106 with regard to the various target variables is carried out using a separate KNN 130, 131, 132, 133, 134, wherein several KNN 130, 131, 132, 133, 134 preferably run in parallel on their own computing unit and / or CPU.

[0055] Fig.Figure 2 shows an exemplary block diagram of a parallel evaluation of images 106 by KNN 130. As can be seen in the figure, the recorded images 106 can be passed to several KNNs 130, 131, 132, 133, 134, whereby, for example, a KNN 130 can be used to evaluate the layer height and / or a KNN 131 to evaluate the rock type and / or a KNN to evaluate the input variable 132 and / or further KNNs 133 to evaluate further target variables.

[0056] The target variables can each be divided into classes 130.1, 130.2, 130.3, 130.4, 131.1, 131.2, 131.3, 132.4 etc., whereby the same or different numbers of classes 130.1, 130.2 etc. may be provided for the various target variables to be determined of the KNN 130, 131, 132, 133, 134.

[0057] The properties and / or volumetric flow rate of the material to be processed can now be transferred to the data processing unit, for example, a computing and / or storage unit of the material processing unit 10. Alternatively, the properties and / or volumetric flow rate were previously determined using the data processing unit, for example, if the image and / or object recognition algorithms and / or the KNNs 130, 131, 132, 133, 134 are implemented on it.

[0058] Using the data processing unit, a target conveying speed can now be determined based on the transmitted parameters. For example, one or more tables, characteristic curves, and / or functional relationships can be stored in the data processing unit, which, taking into account the entered predictive parameters, enable the determination of a target conveying speed. The conveying system can then be controlled or regulated to this target conveying speed.

[0059] Preferably, the residence time of the material to be processed in the crushing plant 50 and / or screening plant 30 is predicted based on the determined properties and / or the volume flow rate. The residence time can be a measure of how long a volume or mass element of the material to be processed is expected to take to be processed in the crushing plant 50 and / or screening plant 30 or in a section thereof, for example, the residence time in the crushing chamber before the crushing gap 56. Based on the predicted residence time, the conveying speed can be controlled and / or regulated accordingly, so that an overload or underload situation does not occur, such as in the case of over- or underfilling of the crushing chamber.In particular, a target conveying speed can be determined which, in combination with the determined volume flow rate, allows for a sufficient processing time, especially corresponding to the predicted residence time.

[0060] In other words, unlike the prior art which reacts to underfilling or overfilling, the present invention avoids overfilling or underfilling of the crushing chamber or prevents it from occurring in the first place.

[0061] For example, in an operational situation, it is determined that a hard material with a large feed size is present on conveyor 23. Specifically, it is determined that the material belongs to hardness class 131.4, which corresponds to high hardness. The material also exhibits a high layer thickness at the moment of detection and / or belongs to a high layer thickness class 130.4. Based on these parameters, a comparatively long residence time is obtained. The residence time can be determined from these parameters, for example, by the data processing unit. Specifically, the data processing unit can determine a residence time by considering the parameters from one or more tables, characteristic curves, and / or functional relationships that are stored, for example, in the data processing unit.It is also preferable to determine the dwell time from the determined parameters using a KNN (know-nearest neighbors) algorithm.

[0062] The target conveying speed of the conveying device 23 can be adjusted so that the conveyed material can be processed properly. Accordingly, the material then has sufficient processing time available, which corresponds, for example, to the residence time.

[0063] In this way, operation of the material processing facility 10 can be ensured, enabling uninterrupted processing of material with optimal utilization of the crushing 50 and / or screening plant 30.

[0064] To continuously improve the control and / or regulation of the conveying speed and / or the prediction of the residence time, the fill level of the crushing plant 50 can, for example, be monitored using the level sensor 61. The monitored fill level can be transmitted to the data processing unit. If, despite the predictive control, a fill level that is too high or too low is detected during operation, the tables and / or characteristic curves and / or functional relationships can be adjusted so that such situations can be better avoided in the future.

[0065] For example, in an operating situation where a residence time was predicted, an excessively high crusher fill level is detected. In this case, the residence time predicted for the determined parameters, such as the properties of the material being processed, can be corrected. For example, the recordings 106, based on which one or more KNNs 130, 131, 132, 133, 134 determined a residence time, can be labeled with the corrected residence time and provided to one or more KNNs 130, 131, 132, 133, 134 as training data.

[0066] In addition to the crusher fill level, other operating parameters such as the utilization of the drive motor of the crushing 50 and / or screening plant 30 are of course also suitable for this purpose.

Claims

[1] Method for controlling and / or regulating the conveyance of material to be processed, in particular rock material, to a crushing (50) and / or screening plant (30) of a material processing facility (10), wherein the material to be processed is conveyed to the crushing (50) and / or screening plant (30) by means of a conveying device (23), characterized by , that the properties of the material to be processed are determined, that a volume flow rate of the material to be processed is determined, that, taking into account the nature and volume flow of the material to be processed, the conveying speed of the conveying device (23) is controlled and / or regulated, that, based on the nature and volume flow of the material to be processed, a residence time of the material to be processed in the crushing (50) and / or screening plant (30) or in an area of ​​the crushing (50) and / or screening plant (30) is predicted, and that the predicted residence time of the material to be processed is used to control and / or regulate the conveying speed of the conveying device (23). [2] Method according to claim 1, characterized by , that a speed of the material to be processed is determined, that a layer height of the material to be processed on the conveying device (23) is determined, and that a volume flow rate of the material to be processed is determined from the determined layer height, the determined speed and a geometry of the conveying device (23). [3] Method according to claim 1 or 2, characterized by, that the specification includes a task size and / or a type of material to be processed, in particular a type of rock. [4] Method according to any one of claims 1 to 3, characterized by , that the composition and / or layer height is determined by means of at least one sensor (101), and / or that the speed is determined using a speed measuring device. [5] Method according to claim 4, characterized by , that at least one sensor (101) is an imaging sensor, in particular a camera, stereo camera, time-of-flight camera or laser scanner. [6] Method according to claim 4 or 5, characterized by, that images (106) recorded by means of at least one sensor (101) are evaluated by means of at least one image recognition algorithm and / or object recognition algorithm, wherein the evaluation is directed towards the determination of at least one target quantity, preferably a property and / or layer height of the material to be processed. [7] Method according to claim 6, characterized by , that at least one target variable is divided into classes (130.1, 130.2, 130.3, 130.4, 131.1, 131.2, 131.3, 131.4 etc.) and that by evaluating the images (106) the assignment of an image (106) to one of the classes (130.1, 130.2, 130.3, 130.4, 131.1, 131.2, 131.3, 131.4 etc.) of the target variable is carried out. [8] Method according to claim 6 or 7, characterized by, that the at least one image recognition algorithm and / or object recognition algorithm is at least partially performed by at least one artificial neural network (ANN) (130, 131, 132, 133, 134), in particular by at least one multi-layered ANN, preferably by at least one convolutional ANN. [9] Method according to claim 8, characterized by , that several KNN (130, 131, 132, 133, 134) are used to evaluate the recorded images (106), in particular that one KNN (130) is used to evaluate the layer height, another KNN (131) is used to evaluate the type of material to be processed, and / or another KNN (132) is used to evaluate the task size. [10] Method according to claim 9, characterized by, that the multiple KNN (130, 131, 132, 133, 134) are operated in parallel in an operating mode, in particular that the KNN (130, 131, 132, 133, 134) are distributed across multiple computing units and / or CPUs, especially preferably that each KNN (130, 131, 132, 133, 134) is assigned its own computing unit and / or CPU. [11] Method according to any one of claims 1 to 10, characterized by that the speed measuring device is a mechanical speed measuring device or a non-contact speed measuring device, in particular a radar-, ultrasound- or laser-based speed measuring device. [12] Method according to any one of claims 1 to 11, characterized by , that the prediction of residence time takes into account a plant type and / or a plant configuration, in particular a tool configuration, and / or a drive speed of the material processing unit (10) and / or the crushing (50) and / or screening plant (30). [13] Method according to any one of claims 1 to 12, characterized by , that by monitoring a fill level of the crushing plant (50), and / or a utilization of the crushing plant (50) and / or the utilization of a drive motor of the crushing (50) and / or the screening plant (30) the control and / or regulation of the conveying speed of the conveying device (23) is continuously adjusted. [14] Method according to any one of claims 1 to 13, characterized by , that further parameters are used to control and / or regulate the conveying speed of the conveying device (23), in particular a layer height on a pre-screen and / or on the screening plant (30) and / or a fill level of the crushing plant (50) and / or a mechanical load on the crushing plant (50) and / or the pre-screen, and / or a drive power of a drive motor of the crushing (50) and / or the screening plant (30) and / or a pre-screen. [15] Material processing equipment (10) with a crushing (50) and / or screening plant (30) for processing a material, in particular rock material, wherein the material to be processed is conveyed to the crushing (50) and / or screening plant (30) by means of a conveying device (23), characterized by, that the material processing unit (10) is configured to enable the determination of the properties of the material to be processed, and / or that the material processing unit (10) is configured to enable the determination of the volume flow rate of the material to be processed, that the material processing unit (10) is configured to enable, taking into account the properties and / or the volume flow rate of the material to be processed, the control and / or regulation of the conveying speed of the conveying unit (23), that, based on the properties and the volume flow rate of the material to be processed, a residence time of the material to be processed in the crushing (50) and / or screening plant (30) or in a section of the crushing (50) and / or screening plant (30) is predicted,and that the predicted residence time of the material to be processed is used to control and / or regulate the conveying speed of the conveying device (23). [16] Material processing device (10) according to claim 15, characterized by one of claims 1 to 14.

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