Method, computing unit, computer program, computer-readable storage medium and system with at least one machine tool

Abstract

The present invention relates to a method, in particular a computer-implemented method, for controlling and / or operating at least one machine tool (2) and / or at least one cleaning machine (29), in which at least one workpiece parameter of a workpiece (5) to be machined by the machine tool (2) and / or at least one tool parameter of a tool (4) of the machine tool (2) is provided, wherein the at least one workpiece parameter and / or the at least one tool parameter is further processed.

Description

[0001] The present invention relates to a method, in particular a computer-implemented method, for controlling and / or operating at least one machine tool and / or at least one cleaning machine, in which at least one workpiece parameter of a workpiece to be machined by the machine tool and / or at least one tool parameter of a tool of the machine tool is provided, wherein the at least one workpiece parameter and / or the at least one tool parameter is further processed.

[0002] Generic methods for controlling and / or operating at least one machine tool, in particular a sawing machine, drilling machine, grinding machine, cutting machine, milling machine, planing machine and / or lathe, for example a miter saw and / or band saw, and / or at least one cleaning machine, in particular a vacuum cleaner and / or vacuum cleaner, have been known for a long time. The machine tools can, for example, process a wide variety of materials. It is known, for instance, that various materials, such as different types of wood, aluminum, steel and / or plastics, can be processed, in particular sawed, with miter saws. Depending on the type of material, the user of the machine tool decides which tool should be inserted into the machine tool. Additionally or alternatively, the speed and / or feed rate of the tool can be adjusted. This requires a high level of expertise from the user.

[0003] The object of the present invention is to eliminate the disadvantages known from the prior art. In particular, the object is to provide a method for controlling and / or operating a machine tool and / or a cleaning machine in which the use and / or operation is simplified and / or the workpiece quality is improved after machining and / or adequate cleaning is ensured.

[0004] The problem is solved by a method, in particular a computer-implemented method, for controlling and / or operating at least one machine tool and / or at least one cleaning machine, a computing unit, a computer program, a computer-readable storage medium, and / or a system with the features of the independent claims. Advantageous or preferred embodiments or further developments of the invention are characterized by the features of the dependent claims.

[0005] A method for controlling and / or operating at least one machine tool is proposed. Additionally or alternatively, a method for controlling and / or operating at least one cleaning machine is proposed. Additionally or alternatively, a method for controlling and / or operating both the at least one machine tool and the at least one cleaning machine is proposed. The method is preferably at least partially computer-implemented, and / or at least one of the following process steps is performed using a computer and / or a computing unit. The use of a computer-implemented method enables higher precision in controlling the machine tool and / or the cleaning machine, as complex calculations, particularly in real time, can be performed. This leads to increased process stability and reduces the risk of operator error.

[0006] The machine tool is preferably configured as a sawing machine, drilling machine, grinding machine, cutting machine, milling machine, planing machine, and / or lathe. For example, the machine tool may be configured as a miter saw and / or a band saw. The variety of possible machine tool types allows for broad applicability of the process in various industries, significantly increasing the system's flexibility.

[0007] The machine tool preferably comprises at least one machining unit. A tool for machining a workpiece can be received by means of or with the aid of the machining unit. The tool can be, for example, a saw blade, a drill bit, an abrasive, a cutting tool, a milling cutter, a planing tool, and / or a turning tool. In particular, the tool is based on the machine tool already described above. A more detailed description of the machine tool is given below for the proposed system. The features mentioned for the system can be present individually or in any combination in the proposed method.

[0008] The cleaning machine is preferably designed as a vacuum cleaner, in particular as a vacuum cleaner, industrial vacuum cleaner, wet / dry vacuum cleaner and / or mobile vacuum cleaner. The cleaning machine may include a collection container for the dust and / or the material or particles removed from the workpiece. Furthermore, the cleaning machine may include at least one vacuum motor.

[0009] In this method, particularly for controlling and / or operating the machine tool, at least one workpiece parameter of a workpiece to be machined by the machine tool is preferably provided. Additionally or alternatively, at least one tool parameter of a tool of the machine tool is preferably provided. Providing these parameters leads to improved process control, as the machining conditions can be precisely tailored to the respective workpiece and tool. This process step can, however, optionally be performed additionally or alternatively in the method for controlling and / or operating the cleaning machine.

[0010] The at least one workpiece parameter is, for example, the material type, material properties, surface finish, material temperature, and / or workpiece dimensions. Thus, the at least one workpiece parameter can contain information on the material type, material properties, surface finish, material temperature, and / or workpiece dimensions. By providing and / or recording the at least one workpiece parameter, a suitable machining strategy can be automatically selected and / or suggestions for machining strategies can be generated, leading to optimized material processing and / or a reduction in errors.

[0011] Examples of material types include: metal, ferrous metal, steel, cast iron, non-ferrous metal, aluminum, copper, brass, polymer, thermoplastic, thermoset, elastomer, composite material, CFRP, GFRP, wood, hardwood, softwood, solid wood, veneer, plywood, glued laminated timber, food products, meat, and / or fish. Material properties can include, for example, density, hardness, elasticity, strength, toughness, brittleness, deformability, wear resistance, moisture content, knot count, density, and rust. Surface properties can include, for example, surface textures, surface roughness, coatings, porosity, and rust. The wide range of measurable workpiece parameters allows for broad applicability of the machine tool and / or process to different workpieces. This leads to greater flexibility in various application areas.Another technical advantage is that precise adaptation to the workpiece parameters can significantly improve the machining quality and / or extend the tool's service life.

[0012] Tool parameters can include, for example, the number of cutting edges and / or teeth, the type of teeth (flat tooth, alternate top tooth, hollow tooth, trapezoidal tooth, with or without chamfer), the approach angle of the cutting edges and / or teeth, the dimensions of the cutting edges and / or teeth, the dimensions of the tool, and / or the abrasive grit size. By capturing and / or providing these tool parameters, the machine tool can be optimally adjusted to the tool characteristics, resulting in improved machining accuracy and reduced wear.

[0013] Additionally or alternatively, a cleaning parameter for the cleaning machine is advantageously provided, particularly for controlling and / or operating the machine. This cleaning parameter can be, for example, the cleaning speed, cleaning pressure, cleaning distance, cleaning duration, suction pressure, suction power, and / or cleaning cycle time. By recording and / or providing at least one cleaning parameter, the cleaning machine can be optimally adjusted to environmental and / or material influences, especially the contaminants (e.g., chips) generated during machining with the tool. Thus, depending on the extent, condition, and / or origin of the contamination, the cleaning process can be specifically initiated and / or adjusted. This process step can, however, be performed optionally in addition to or as an alternative to the process for controlling and / or operating the machine tool.

[0014] Preferably, the method involves further processing at least one workpiece parameter and / or at least one tool parameter and / or at least one cleaning parameter. This further processing enables automatic and / or manual adjustment of the machine control, the machine tool, the cleaning machine, and / or the method itself, thereby increasing the efficiency and accuracy of the machining processes. Preferably, the machine tool comprises at least one accumulator, at least one external unit, and / or the at least one cleaning machine comprises at least one processing unit, which, for example, is used to further process the at least one workpiece parameter and / or at least one tool parameter and / or at least one cleaning parameter.The at least one computing unit is therefore preferably a component of the machine tool, the at least one accumulator, the at least one cleaning machine and / or the at least one external unit.

[0015] The at least one external unit is, for example, a cloud, a smartphone, and / or a laptop. Using external units such as cloud systems enables flexible and scalable data processing, which improves the overall system performance. Additionally or alternatively, this allows for a simpler design of the machine tool, the cleaning machine, and / or the at least one battery.

[0016] It is advantageous if at least one workpiece parameter and / or at least one tool parameter and / or at least one cleaning parameter is recorded before, during, and / or after machining the workpiece. Recording the parameters before and / or during machining enables rapid monitoring, particularly real-time monitoring, which facilitates the adjustment of process parameters and / or the prevention of errors before and / or during operation.

[0017] The at least one workpiece parameter is preferably acquired by means of a material sensing unit of the machine tool, the accumulator, the cleaning machine and / or the external unit. The at least one tool parameter is preferably acquired by means of a tool sensing unit of the machine tool, the cleaning machine, the accumulator and / or the external unit.

[0018] The material detection unit enables precise acquisition of relevant workpiece parameters. Additionally or alternatively, the material detection unit preferably allows for one-time and / or continuous monitoring of the workpiece. This can lead to improved adaptation of machining processes to the specific material properties. A further advantage is the minimization of material losses and miscuts, as the machine tool and / or cleaning machine can be adapted to the acquired workpiece parameters. The tool detection unit preferably enables one-time and / or continuous monitoring of the tool. This can lead to more precise machining and extended tool life.Another advantage is that by recording the tool parameters, the machining process could be optimized automatically and / or manually, leading to a reduction in downtime and / or a higher degree of automation.

[0019] Additionally or alternatively, at least one workpiece parameter and / or at least one tool parameter and / or at least one cleaning parameter is entered before, during, and / or after machining the workpiece using an input device on the machine tool, cleaning machine, accumulator, and / or external unit. The option to manually enter the parameters, in particular the at least one tool parameter and / or at least one workpiece parameter and / or at least one cleaning parameter, offers additional flexibility if automatic acquisition is insufficient and / or specific adjustments are required.

[0020] It is also advantageous if, before, during, and / or after machining the workpiece, a workpiece characteristic value, a tool characteristic value, and / or a cleaning characteristic value are generated from the at least one workpiece parameter, a tool characteristic value, and / or a cleaning characteristic value, particularly with the aid of at least one processing unit and / or at least one evaluation unit. By generating these characteristic values ​​(workpiece characteristic value, tool characteristic value, and / or a cleaning characteristic value), complex parameters can be simplified and / or made more readily usable for process control. For example, the workpiece, in particular its type, shape, and / or surface finish, can be specified using the workpiece characteristic value, the workpiece parameter, and / or the cleaning characteristic value.Using tool characteristics, tool parameters, and / or cleaning characteristics, the tool, and in particular its type, can be specified. Additionally or alternatively, the condition of the cleaning machine can be recorded and / or specified. This specification leads to a precise selection of machining strategies, tool types, and / or cleaning strategies, thus increasing the efficiency of the entire machining process.

[0021] It is also advantageous if, before, during, and / or after machining the workpiece, particularly with the aid of the at least one computing unit, the at least one evaluation unit, and / or at least one processing unit of the machine tool, the cleaning machine, the accumulator, and / or the external unit, at least one target value and / or at least one target tool value and / or target cleaning value is determined based on the at least one workpiece parameter, the at least one tool parameter, the at least one cleaning parameter, the at least one workpiece characteristic value, and / or the at least one tool characteristic value, and / or the at least one cleaning characteristic value. Determining the target value makes it possible to adjust the process to ideal conditions and / or to detect and correct deviations at an early stage. The target value is preferably the target value for the tool.The target value can be, for example, a target rotational speed, a target velocity, a target feed rate, a target pressure, and / or a target parameter. Using the target tool parameter, the appropriate tool can be selected and / or determined. This automatic selection and / or suggestion of the appropriate tool reduces setup times and / or minimizes the risk of tool damage due to incorrect selection. Additionally or alternatively, machining quality and / or the quality of the workpiece after machining can be improved. Using the target cleaning parameter, the appropriate cleaning method and / or cleaning performance, especially suction pressure, can be selected and / or determined. This improves cleaning during operation, which can, for example, improve machining quality for visual reasons.

[0022] It is also advantageous if, before, during, and / or after machining the workpiece, at least one actual value of a drive of the machine tool and / or the cleaning machine is recorded, determined, controlled, and / or entered, particularly with the aid of the input device and / or a control system of the machine tool, the cleaning machine, the accumulator, and / or the external unit. The actual value is preferably the actual value of the machine tool drive. The actual value can be, for example, an actual rotational speed, an actual velocity, an actual feed rate, an actual pressure, and / or an actual parameter. Additionally or alternatively, the actual value of the cleaning machine can be the currently existing / prevailing cleaning speed, the cleaning pressure, the cleaning distance, the cleaning duration, the suction pressure, the suction power, and / or the cleaning cycle time. Recording the actual value enables precise monitoring of the machine's condition.the machine conditions (machine tool and / or cleaning machine), which leads to an increase in process reliability and / or a reduction in downtime.

[0023] It is also advantageous if, before, during, and / or after machining the workpiece, at least one tool parameter, at least one workpiece parameter, at least one cleaning parameter, at least one target value, at least one target tool value, at least one target cleaning parameter, at least one actual value, and / or at least one data table are entered and / or received, particularly using the input device and / or a data interface of the machine tool, the cleaning machine, the accumulator, and / or the external unit. The data table preferably relates to the relationship between the workpiece parameter and the tool parameter. Linking workpiece and tool parameters in a data table simplifies the selection of suitable machining strategies and / or improves the quality of the machining results.Additionally or alternatively, the selection of the appropriate tool for a given workpiece can be simplified and / or improved. For example, the data table can specify which tools are most easily, gently, and / or with the highest quality for machining the selected workpiece. This data table can serve as an alternative to manually setting the spindle speed and / or feed rate. This optimizes machining processes by supporting the operator and / or simultaneously improving machining quality.

[0024] Additionally or alternatively, the data table can contain, provide, and / or establish a relationship between workpiece parameters, tool parameters, and / or cleaning parameters. For example, the data table can be used to suggest and / or adjust cleaning performance based on the tool and the workpiece.

[0025] It is also advantageous if the at least one workpiece parameter, the at least one tool parameter, the at least one cleaning parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one cleaning characteristic value, the at least one target value, the at least one actual value, the at least one target cleaning characteristic value and / or the at least one target tool value is output before, during and / or after machining the workpiece, in particular with the aid of an output device of the machine tool, the cleaning machine, the accumulator and / or the external unit, and / or transmitted to the at least one drive of the machine tool and / or to the cleaning machine.The output and / or transmission of this information to the operator and / or to the drive and / or to the cleaning machine and / or to the accumulator enables improved manual and / or automated adjustment of the parameters and / or characteristic values ​​and / or actual values, leading to increased process stability and / or lower error rates.

[0026] It is also advantageous if, before, during, and / or after machining the workpiece, at least one target value is compared with at least one actual value, and / or at least one target tool characteristic is compared with at least one tool characteristic, and / or at least one cleaning characteristic is compared with the target cleaning characteristic, and / or at least one deviation is determined. The comparison between target and actual values ​​offers the possibility of detecting process deviations, especially in real time, and / or initiating corrective measures, particularly immediately. This increases precision and reduces the probability of scrap. Deviations can thus be detected at an early stage.

[0027] Advantages arise when at least one workpiece parameter, at least one tool parameter, at least one cleaning parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one cleaning characteristic value, at least one target value, at least one target tool characteristic value, at least one target cleaning characteristic value, at least one actual value, and / or at least one deviation are stored, particularly using a data storage device in the machine tool, the cleaning machine, the accumulator, and / or the external unit. Storing this data enables, in particular, complete documentation of the machining processes, which is advantageous for quality control and / or the optimization of future machining operations.Storing this data allows for easy retrieval of historical processing information, leading to improved traceability and / or traceability of processing operations. The availability of this data also enables a detailed analysis of processing procedures to facilitate future optimizations.

[0028] Furthermore, it is advantageous if at least one workpiece parameter, at least one tool parameter, at least one cleaning parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one cleaning characteristic value, at least one target value, at least one target tool characteristic value, at least one target cleaning characteristic value, and / or at least one actual value are modified and / or adjusted based on at least one deviation, particularly one stored in the data memory. By adjusting the parameters, characteristic values, target value, target tool characteristic value, target cleaning characteristic value, and / or actual value based on stored deviations, continuous optimization of the machining processes is ensured. This can, for example, lead to higher precision and / or quality of the end products.Additionally or alternatively, this can reduce the need for manual intervention and / or the risk of human error in the processing. However, it is also conceivable that the computer-implemented process learns from the operator's manual input.

[0029] It is also advantageous if at least one workpiece parameter, at least one tool parameter, at least one cleaning parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one cleaning characteristic value, at least one target value, at least one target tool characteristic value, at least one target cleaning characteristic value, at least one actual value, and / or at least one deviation are determined, adjusted, and / or modified by a method based on machine learning, such as a decision tree, a Bayesian network, a neural network, a multi-class support vector machine, or k-nearest neighbor classification. The use of machine learning enables dynamic and / or self-learning adjustment of the machining parameters, which ensures a continuous improvement in machining accuracy and / or efficiency.By using such algorithms, complex relationships between parameters, characteristic values, data tables, and / or deviations can be identified and / or utilized to find the optimal machining strategy. This can, for example, minimize tool wear, increase process reliability, and / or improve machining quality.

[0030] Furthermore, a computing unit is proposed. Preferably, the computing unit is configured to regulate and / or control at least one machine tool and / or at least one cleaning machine. Additionally or alternatively, the computing unit is configured to control and / or regulate the machine tool and / or the cleaning machine according to a method described above, wherein the aforementioned features may be present individually or in any combination.

[0031] The machine tool is preferably designed as a sawing machine, drilling machine, grinding machine, cutting machine, milling machine, planing machine and / or lathe, for example a miter saw and / or compound miter saw and / or band saw.

[0032] It is advantageous if the computing unit includes at least one input device, one evaluation device, one processing device, one control device, one data interface, one output device, one data storage device, one material acquisition unit and / or one tool acquisition unit, and / or is in data communication with these.

[0033] Preferably, the machine tool comprises at least one computing unit. Additionally or alternatively, the at least one accumulator comprises at least one cleaning machine and / or at least one external unit of the at least one computing unit, wherein the at least one computing unit is preferably commensurate with the machine tool and / or the cleaning machine, in particular with a data connection. If the computing unit is an integral part of the machine tool and / or the cleaning machine, the data transmission effort can be reduced. If the computing unit is an integral part of the accumulator, it can be used with and / or in different machine tools and / or cleaning machines by commencing a data connection between the accumulator and the respective machine tool and / or cleaning machine, in particular by means of a data interface and / or an accumulator data interface.If the computing unit is part of the external unit, then the computing power can be outsourced.

[0034] Furthermore, a computer program is proposed. Preferably, when the computer program is executed by and / or by means of a computing unit, the unit is caused to carry out a method according to the preceding description and / or to control a machine tool and / or a cleaning machine according to the method, wherein the aforementioned features may be present individually or in any combination.

[0035] Furthermore, a computer-readable storage medium is proposed. The computer-readable storage medium preferably comprises a computer program, wherein, when executed by and / or by means of a computing unit, the computing unit causes the computing unit to perform a method according to the preceding description and / or to control a machine tool and / or a cleaning machine according to the method, wherein the aforementioned features may be present individually or in any combination. The computer program is preferably designed according to the preceding description, wherein the aforementioned features may be present individually or in any combination.

[0036] Furthermore, a system comprising at least one machine tool and / or at least one accumulator and / or at least one external unit and / or at least one cleaning machine is proposed. Preferably, the at least one machine tool and / or the at least one accumulator and / or the at least one external unit and / or the at least one cleaning machine comprises at least one computing unit. Preferably, the at least one computing unit is configured according to the preceding description, wherein the aforementioned features may be present individually or in any combination.

[0037] It is advantageous if the accumulator is designed as a tool accumulator, in particular an IoT accumulator and / or an IoT tool accumulator, and / or includes at least one data interface, in particular an accumulator data interface, for bidirectional data exchange. With the aid of the at least one data interface, the accumulator can be connected to the at least one machine tool and / or the at least one external unit and / or the at least one cleaning machine. The data interface can be designed as a wired interface and / or a wireless interface.

[0038] Additionally or alternatively, it is advantageous if at least one external unit is a cloud, a smartphone and / or a laptop.

[0039] It is advantageous if the accumulator and / or the external unit comprises at least one evaluation unit and / or one processing unit, one input unit, one output unit, one computing unit, and / or at least one data interface, with the aid of which the accumulator and / or the external unit can determine the workpiece characteristic value from the at least one workpiece parameter and / or the tool characteristic value and / or the target value from the at least one tool parameter. It is conceivable that either the accumulator or the external unit, or the machine tool, or the cleaning machine comprises the at least one evaluation unit and / or the at least one processing unit, the at least one input unit, the at least one output unit, the at least one computing unit, and / or the at least one data interface.However, it is also conceivable that at least two of the components from the group consisting of accumulator, external unit, cleaning machine, and machine tool comprise at least one evaluation unit and / or at least one processing unit, at least one input unit, at least one output unit, at least one computing unit, and / or at least one data interface. Additionally or alternatively, the accumulator and / or the external unit may comprise at least one further evaluation unit and / or one further processing unit, one further input unit, one further output unit, one further computing unit, and / or at least one further data interface.

[0040] Preferably, the system, in particular the machine tool and / or the cleaning machine, comprises at least one material detection unit for detecting at least one workpiece parameter. Additionally or alternatively, the at least one accumulator and / or the at least one external unit comprises the at least one material detection unit. The material detection unit enables precise detection of the relevant workpiece parameters. Additionally or alternatively, the material detection unit preferably enables one-time and / or continuous monitoring of the workpiece. This can lead to improved adaptation of the machining processes to the specific material properties. A further advantage is the minimization of material losses and miscuts, since the machine tool and / or the cleaning machine can be adapted to the detected workpiece parameters.

[0041] Additionally or alternatively, the system, in particular the machine tool and / or the cleaning machine, preferably has at least one tool detection unit for recording at least one tool parameter of the tool being held. Additionally or alternatively, the at least one accumulator and / or the at least one external unit has the at least one tool detection unit. The tool detection unit preferably enables one-time and / or continuous monitoring of the tool. This can lead to more precise machining and an extended tool life. A further advantage is that by recording the tool parameters, the machining process could be optimized automatically and / or manually, leading to a reduction in downtime and / or a higher degree of automation.

[0042] It is advantageous if the system, particularly the machine tool, includes at least one worktable for positioning and / or supporting the workpiece to be machined and / or at least one articulated connection for movably connecting the machining unit to the worktable. Integrating a worktable ensures stable and precise positioning of the workpiece during machining. The articulated connection also allows for flexible movement of the machining unit, thus facilitating adaptation to different machining angles and / or positions. This improves the efficiency and versatility of the system and / or the machine tool.

[0043] It is also advantageous if the system, particularly the machine tool (e.g., the machining unit, the joint arrangement, and / or the worktable), includes at least one drive for rotating and / or translating the tool. This drive ensures precise and / or controlled tool movement, thereby increasing machining accuracy and / or enabling uniform material removal. A further advantage is that the rotary and / or translational drive supports a greater variety of machining processes, thus increasing the flexibility of the machine tool.

[0044] Additionally or alternatively, the system, in particular the machine tool, preferably includes a connection section for the cleaning machine. This allows the cleaning machine to be specifically connected to the machine tool, preferably mechanically and / or electrically. Additionally or alternatively, the cleaning machine can be connected to the machine tool via the connection section and / or at least a data interface.

[0045] Additionally or alternatively, the system comprises at least one cleaning machine. The system, in particular the cleaning machine, preferably includes a monitoring unit for acquiring at least one cleaning parameter, a cleaning characteristic value, and / or an actual value of the cleaning machine. The monitoring unit preferably includes a pressure sensor for acquiring the suction power, a level sensor, a temperature sensor, an optical sensor, a camera, a conductivity sensor, and / or a humidity sensor. Additionally or alternatively, the cleaning machine comprises at least one processing unit. The proposed method can be carried out completely and / or partially using the processing unit of the cleaning machine and / or the at least one accumulator and / or the at least one external unit and / or the machine tool.

[0046] Furthermore, it is advantageous if the tool detection unit includes at least one tool sensor. The tool sensor enables one-time and / or continuous monitoring of the tool properties. This single tool sensor can detect at least one tool parameter. This can lead to more precise machining control. One advantage is that detecting the tool parameters allows for manual and / or automatic adjustment of the machining process, thereby extending the tool's service life and / or improving machining quality.

[0047] It is also advantageous if at least one tool sensor is an optical sensor, a camera, a conductivity sensor, an RFID sensor, and / or an inductive sensor. Optical sensors and cameras offer high precision in capturing tool parameters, which optimizes machining accuracy. Conductivity sensors and RFID sensors also enable fast and contactless tool identification, minimizing setup times and increasing efficiency. For example, the tool could incorporate an identifier (chip, RFID chip, barcode) that can be detected by at least one tool sensor.

[0048] It is also advantageous if at least one tool sensor is located on the machining unit, particularly adjacent to a tool holder and / or on the housing of the machining unit, and / or on the joint assembly and / or on the at least one worktable. Arranging the sensors on the machining unit or on the joint assembly enables direct and precise acquisition of tool parameters before, after, and / or during operation. Positioning the sensors close to the tool results in a faster response time, allowing potential deviations to be corrected in real time.

[0049] It is also advantageous if the material detection unit comprises at least one material sensor, preferably at least two. The use of one or more material sensors enables more comprehensive detection of at least one workpiece parameter. This can lead to better adaptation of the machining process to the material properties. A further advantage is that material losses and / or scrap can be minimized through the precise detection of the workpiece parameters. Additionally or alternatively, the material type can be determined as accurately as possible. If the material detection unit comprises at least two material sensors, the material can be determined very precisely using sensor data fusion.

[0050] It is also advantageous if at least one of the material sensors is an optical sensor, a camera, a pressure sensor, a force sensor, a bending beam sensor, a shear beam sensor, a compressive force sensor, a weighing sensor, a temperature sensor, a humidity sensor, and / or a conductivity sensor. The combination of different sensor technologies enables precise and comprehensive acquisition of workpiece parameters. One advantage is that the accurate acquisition of workpiece parameters allows for consistent machining results even with heterogeneous materials. Additionally or alternatively, this also allows for the differentiation of very similar materials and / or the acquisition of multiple different workpiece parameters.

[0051] It is also advantageous if at least one first material sensor, particularly an optical sensor and / or a camera, is arranged on the machining unit, especially on a housing of the machining unit, and / or on the joint assembly, with the aid of which at least one first workpiece parameter can be detected. Positioning an optical sensor or a camera on the machining unit enables precise and direct detection of the workpiece parameters, allowing for continuous optimization of the machining process. A further advantage is the reduction of the error rate, as any deviations in the workpiece parameters can be detected and corrected at an early stage.

[0052] It is also advantageous if at least one second material sensor, in particular a pressure sensor, force sensor, bending beam sensor, shear beam sensor, compressive force sensor, weighing sensor, humidity sensor, temperature sensor, and / or conductivity sensor, is arranged on the worktable, with the aid of which at least one second workpiece parameter can be determined. The arrangement of a pressure sensor or force sensor on the worktable enables, for example, monitoring of the workpiece's density (especially in conjunction with the dimensions from the first material sensor). The conductivity sensor and / or humidity sensor can provide information about the material type or, for example, the moisture content.

[0053] It is also advantageous if the system, the machine tool, the cleaning machine, the at least one accumulator, the at least one external unit, and / or the material detection unit comprises at least one first evaluation unit with the aid of which a workpiece characteristic value can be generated from the at least one workpiece parameter, in particular from the at least one first workpiece parameter and / or the at least one second workpiece parameter. The first evaluation unit enables automatic and / or manual analysis of the at least one recorded workpiece parameter, whereby a specific workpiece characteristic value can be determined for the optimization of the machining process. This leads to increased process reliability and consistent quality of the machined workpieces.Using the workpiece characteristic value and / or the workpiece parameter, the workpiece, in particular the type and / or shape and / or surface of the workpiece, can be specified.

[0054] Advantages arise when the system, the machine tool, the cleaning machine, the at least one accumulator, the at least one external unit, and / or the tool detection unit includes at least a second evaluation unit with which a tool characteristic value can be derived from the at least one tool parameter. Determining and / or calculating the tool characteristic value enables precise adjustment of the machining parameters to the tool's condition, thus improving machining quality and tool life. A further advantage is that the automatic determination of the tool characteristic value optimizes maintenance intervals and avoids unnecessary downtime. Additionally or alternatively, the existing tool and / or the tool held in the machining unit can be identified.Using workpiece characteristics and / or workpiece parameters, the workpiece, in particular its type, shape, and / or surface finish, can be specified. Similarly, using tool characteristics and / or tool parameters, the tool, in particular its type, can be specified. By defining these characteristics (workpiece characteristics and / or tool characteristics), complex parameters can be simplified and / or made more readily available for process control.

[0055] It is also advantageous if the system, in particular the machine tool, the cleaning machine, the at least one accumulator and / or the at least one external unit, includes at least one input device and / or a data interface with which at least one workpiece parameter, at least one tool parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one data table and / or at least one actual value can be entered and / or specified. The data table preferably relates to the relationship between the workpiece characteristic value and the tool characteristic value. For example, the data table can specify which tool is most easily, most material-friendly, and / or produces the highest quality results when machining the workpiece. The data table can, for example, serve additionally or alternatively to manually setting the spindle speed and / or feed rate.Inputting the aforementioned parameters and / or values ​​via the input device and / or data interface enables quick and easy adjustment of the machining and / or cleaning processes, thereby increasing the efficiency of the machine tool and / or cleaning machine. For example, the input unit can be an input display, at least one input button, and / or a microphone (for voice input). The actual value is preferably the actual value of the drive. This actual value can be, for example, the actual rotational speed, the actual velocity, the actual feed rate, the actual pressure, and / or another parameter.

[0056] It is also advantageous if the system, in particular the machine tool, the cleaning machine, the at least one accumulator and / or the at least one external unit, comprises at least one processing device with the aid of which the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value and / or the at least one data table can be evaluated and / or further processed, in particular a target value and / or at least one target tool characteristic value can be determined. The target value is preferably the target value for the tool. The target value can be, for example, a target rotational speed, a target velocity, a target feed rate, a target pressure and / or a target parameter.The processing unit enables the rapid and / or precise calculation of optimal machining parameters based on the acquired and / or entered data, resulting in improved machining quality and shorter cycle times. The appropriate tool can be selected and / or determined using the target tool characteristic value.

[0057] It is also advantageous if the system, in particular the machine tool, the cleaning machine, the at least one accumulator and / or the at least one external unit, includes at least one output device with which the at least one setpoint and / or the target tool characteristic can be output. The output device enables a clear and understandable display of the calculated setpoints, which allows for simple and quick monitoring and / or control of the machining process. This allows a user to adjust the machine tool and / or the cleaning machine based on the setpoint. A further advantage is that the output of the setpoints allows potential deviations to be detected and / or corrected early, thus ensuring machining quality. The output device can be, for example, an output display and / or a loudspeaker.

[0058] Additionally or alternatively, it is advantageous if at least one workpiece parameter, at least one tool parameter, at least one workpiece characteristic value, at least one tool characteristic value, and / or at least one actual value is output via the at least one output device. This makes it possible to monitor and / or intervene in the operation of the machine tool and / or the cleaning machine in more detail.

[0059] It is also advantageous if the system, in particular the machine tool, the cleaning machine, the at least one accumulator and / or the at least one external unit, includes at least one data storage device with which at least one workpiece parameter, at least one tool parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one data table, at least one target value, at least one target tool characteristic value, and / or at least one actual value can be stored. The data storage device enables the long-term and / or short-term storage of relevant parameters, values, and / or tables. This allows, for example, continuous process optimization through historical data analysis. Additionally or alternatively, user inputs, user changes, and / or tool changes can be stored and / or documented.

[0060] Furthermore, it is advantageous if the system, in particular the machine tool, the cleaning machine, the at least one accumulator and / or the at least one external unit, includes at least one control unit for controlling the drive. With the aid of the control unit, the at least one actual value can be set and / or regulated. Additionally or alternatively, the at least one setpoint can be determined and / or received.

[0061] It is also advantageous if the system, in particular the machine tool, the cleaning machine, the at least one accumulator and / or the at least one external unit, comprises at least one computing unit. Preferably, the at least one computing unit comprises the output device, the processing device, the data storage, the input device, the data interface, the first evaluation device, the second evaluation device, the tool detection unit, the material detection unit, and / or the control unit. Additionally or alternatively, the computing unit is operatively connected to the output device, the processing device, the data storage, the input device, the data interface, the first evaluation device, the second evaluation device, the tool detection unit, the material detection unit, and / or the control unit.It is conceivable that the computing unit takes over and / or further processes one or more of the aforementioned functions of the individual units / facilities. Additionally or alternatively, it is conceivable that the computing unit acts as the link between the individual aforementioned units / facilities.

[0062] Advantages arise when the drive, output unit, processing unit, data storage, input unit, data interface, first evaluation unit, second evaluation unit, tool detection unit, material detection unit, computing unit, and / or control unit are interconnected in such a way that the drive can be adjusted and / or changed based on the setpoint. By networking the various components of the machine tool and / or cleaning machine, the machining process can be adapted automatically and / or in real time, significantly increasing efficiency and precision. A further / alternative advantage is the reduction of downtime, as the drive can automatically react to changing machining conditions without requiring manual intervention.

[0063] It also offers advantages if the machine tool and / or cleaning machine includes at least one power supply interface for at least one battery. This power supply interface enables a continuous and / or controlled energy supply to the machine tool and / or cleaning machine. This ensures, for example, uninterrupted machining. The power supply interface also allows the machine tool and / or cleaning machine to be portable. A further advantage of the data interface already described is that it enables fast and / or reliable data transfer between the machine tool, the cleaning machine, and external units, the battery, and / or units connected to the battery.

[0064] It is advantageous to control the energy supply and / or the cleaning performance of the machine tool and / or the cleaning machine. For example, it is conceivable that the energy supply could be adjusted and / or controlled depending on at least one workpiece parameter, at least one tool parameter, at least one cleaning parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one setpoint value, at least one actual value, and / or at least one target tool value.

[0065] For example, the energy input and / or cleaning performance of the cleaning machine can be increased if the workpiece parameter indicates high moisture content. It is also conceivable that a higher particle quantity is removed from the workpiece at high tool speeds and / or with special tools, thus requiring an increased energy input and / or cleaning performance of the cleaning machine. Conversely, the energy input and / or cleaning performance of the machine tool can be modified based on the cleaning parameters. For instance, if it is detected that the cleaning machine is achieving reduced cleaning performance (due to a full collection container or insufficient battery charge), the machine tool can be throttled back. In this case, determining at least one tool parameter and / or workpiece parameter is optional.

[0066] Further advantages of the invention are described in the following exemplary embodiment. It shows: Fig. 1 a schematic side view of a system according to an exemplary embodiment, and Fig. 2 A schematic side view of a system according to an alternative embodiment.

[0067] Fig. Figure 1 shows a schematic side view of a system 1 according to an exemplary embodiment. In the illustrated embodiment, the system 1 comprises a machine tool 2, at least one accumulator 27, and at least one external unit 25. However, it is also conceivable that the system 1 consists solely of the machine tool 2. Likewise, it is conceivable that the system 1 comprises the machine tool 2, the at least one accumulator 27, and / or the at least one external unit 25. Multiple accumulators 27 or a wired power supply and / or data connection for the machine tool 2 are also conceivable. By way of example, only the single accumulator 27 and three different external units 25 are shown. Furthermore, a cloud, a smartphone, and a laptop are shown as examples of external units 25. However, alternative external units 25, such as desktop computers, tablets, or the like, can also be used.

[0068] In the illustrated embodiment, the machine tool 2 is configured as a miter saw. However, the machine tool 2 can additionally or alternatively be configured as a sawing machine, drilling machine, grinding machine, cutting machine, milling machine, planing machine, and / or lathe, in particular a band saw. The machine tool 2 has a machining unit 3. The machining unit 3 is designed to hold a tool 4, for example, a saw blade. The tool 4 is used to machine a workpiece 5. In the illustrated embodiment, the workpiece 5 is positioned on a worktable 8. The worktable 8 enables the stable positioning and machining of the workpiece 5. Alternatively, for example in the case of a lathe, the machine tool 2 can comprise a work area instead of the worktable 8.

[0069] According to Fig. 1. The machine tool 2 comprises at least one material acquisition unit 6. This material acquisition unit 6 serves to acquire workpiece parameters, such as the material type, material properties, surface finish, and / or workpiece dimensions. Additionally or alternatively, a tool acquisition unit 7 is provided, which can acquire tool parameters of the tool 4. The tool parameters can be, for example, the number of cutting edges / teeth, the type of teeth (flat tooth, alternate top tooth, hollow tooth, trapezoidal tooth, with or without chamfer), the angle of attack of the cutting edges / teeth, the dimensions of the cutting edges / teeth / tool, and / or the abrasive grit size. It is also conceivable that the at least one workpiece parameter and / or the at least one tool parameter merely provides information from which the aforementioned exemplary properties can be determined.

[0070] The exemplary embodiment of the Fig. Figure 1 further shows that the machine tool 2 has a joint arrangement 9. This joint arrangement 9 connects, for example, the machining unit 3 to the worktable 8 in a movable manner. This allows the tool 4 to be precisely aligned with the workpiece 5.

[0071] In the Fig. Figure 1 shows a drive 10, which serves to move the tool 4. The drive 10 can operate both rotaryally and translationally to ensure effective machining of the workpiece 5. The drive 10 is preferably controlled by a controller 24. In the illustrated embodiment, the controller 24 is arranged in the machine tool 2, in particular in the drive 10. However, it is also conceivable that the controller 24 is arranged in at least one computing unit 23.

[0072] Furthermore, the exemplary embodiment of Fig. Figure 1 shows that the machine tool 2 comprises a receiving element 12 for the tool 4 and a housing 11 in which the drive 10 and other components are housed. A tool sensor 13 of the at least one tool detection unit 7 is arranged, by way of example, on the housing 11 to monitor the parameters of the tool 4. In the illustrated embodiment, the tool 4 comprises at least one identification section 28, by means of which the tool detection unit 7, in particular the tool sensor 13, can detect the at least one tool parameter. It is conceivable that the tool sensor 13 is an RFID sensor, by means of which the identification section 28, designed as a so-called RFID tag, can be detected. The RFID tag thus comprises the at least one tool parameter.Additionally or alternatively, it is conceivable that the at least one tool sensor 13, as an optical sensor, as a camera, as a conductivity sensor and / or induction sensor, detects the at least one tool parameter.

[0073] As from Fig. As can be seen in Figure 1, the material detection unit 6 preferably comprises two material sensors 14 and 15. A first material sensor 14 is designed optically and / or as a camera and is mounted on the processing unit 3. This first material sensor 14 can detect at least one first workpiece parameter. A second material sensor 15, which is designed, for example, as a pressure sensor, force sensor, bending bar sensor, shear bar sensor, compressive force sensor, weighing sensor, and / or conductivity sensor, is arranged on the worktable 8. This second material sensor 15 can detect at least one second workpiece parameter. Thus, it is conceivable that the first material sensor 14, for example, detects at least partially the workpiece dimensions and / or the surface and / or the material properties. Additionally or alternatively, the second material sensor can detect the material type.It should be noted again that the recording of workpiece parameters and / or tool parameters can only provide information from which the aforementioned exemplary properties of the tool and / or workpiece can be determined and / or calculated.

[0074] The in Fig. The machine tool 2 shown in Figure 1 further comprises at least one first evaluation unit 16. This unit processes the workpiece parameters detected by the at least one material sensor 14, 15. Thus, with the aid of the first evaluation unit 16, a workpiece characteristic value can be determined from the at least one workpiece parameter. Likewise, at least one second evaluation unit 17 is shown, which serves to calculate a tool characteristic value based on the data detected by the tool detection unit 7. The at least one workpiece characteristic value can provide direct information about the workpiece 5 present and / or to be machined. The at least one tool characteristic value can provide direct information about the tool 4 present and / or mounted in the machine tool 2.

[0075] Furthermore, the machine tool 2 in the illustrated embodiment comprises an input device 18 and an output device 21. With the input device 18, at least one workpiece parameter, at least one tool parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one data table, and / or at least one actual value can be entered and / or specified. With the output device 21, for example, at least one workpiece parameter, at least one tool parameter, at least one workpiece characteristic value, at least one tool characteristic value, at least one data table, at least one actual value, at least one target value, and / or at least one target tool characteristic value can be output and / or distributed.

[0076] Furthermore, the machine tool 2 comprises at least one data interface 19. In the illustrated embodiment, the machine tool 2 comprises two different data interfaces 19a, 19b. A first data interface 19a is preferably designed as a wired interface or contact interface. With the aid of the first data interface 19a, the machine tool 2 in the illustrated embodiment can be connected to the at least one accumulator 27, in particular to a fourth data interface 19d of the accumulator 27, via a data connection. A second data interface 19b is preferably designed as a wireless interface.With the aid of the second data interface 19b, the machine tool 2 in the illustrated embodiment can be connected to the at least one accumulator 27, in particular to the third data interface 19c of the accumulator 27, and / or to the fifth data interface 19e of the at least one external unit 25, in particular to a wireless data connection. Preferably, at least one of the illustrated data interfaces 19 is designed as a bidirectional data interface. Furthermore, the machine tool 2 in the illustrated embodiment comprises at least one power supply interface 26, with the aid of which the at least one accumulator 27 can be connected for power supply, in particular for power supply. The power supply interface 26 and the first data interface 19a can form a common battery interface.

[0077] Furthermore, the machine tool 2 comprises at least one processing unit 20. With the aid of the at least one processing unit 20, the recorded, entered, and / or determined data and / or information, in particular the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one data table, and the at least one actual value, can be evaluated and / or further processed. With the aid of the at least one processing unit 20, for example, the at least one target value and / or the at least one target tool characteristic value can be determined and / or ascertained.

[0078] The setpoint is, for example, a setpoint rotational speed, a setpoint velocity, a setpoint feed rate, and / or a setpoint pressure for the tool 4. This setpoint can, for example, be transmitted to the control unit 24 so that the tool 4 can be driven based on the setpoint. Additionally or alternatively, the setpoint can be output by the at least one output device 21, allowing an operator of the machine tool 2 to decide whether this setpoint is to be set for the tool 4. The setpoint tool characteristic preferably specifies which tool 4 is to be used. This setpoint tool characteristic can also either be further processed within the machine tool 2 (e.g., automatic tool change) and / or output by means of the output device 21.After the target tool value has been issued, the operator of the machine tool 2 can change the tool 4 and / or adjust the target value accordingly so that the inserted tool 4 is usable.

[0079] Furthermore, the machine tool 2 according to the exemplary embodiment comprises at least one data storage device 22. With the aid of the data storage device 22, the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one data table, the at least one setpoint value, the at least one target tool characteristic value and / or the at least one actual value can be stored.

[0080] Furthermore, the exemplary embodiment of the Fig. 1 several computing units 23. Preferably, the system 1 comprises at least one computing unit 23. The at least one computing unit 23 is preferably operatively connected with the output device 21, the processing device 20, the data storage device 22, the input device 18, the at least one data interface 19, the first evaluation device 16, the second evaluation device 17, the tool detection unit 7, the material detection unit 6 and / or the control 24.

[0081] In the illustrated embodiment, the machine tool 2 comprises a first computing unit 23a. The first computing unit 23a preferably comprises the first evaluation unit 16, the second evaluation unit 17, the processing unit 20, the at least one data interface 19, and / or the data storage unit 22. Additionally or alternatively, the first computing unit 23a can comprise the control unit 24, the tool detection unit 7, the material detection unit 6, the output unit 21, and / or the input unit 18. Furthermore, in the illustrated embodiment, the at least one accumulator 27 comprises a second computing unit 23b, and / or the at least one external unit 25 comprises a third computing unit 23c.

[0082] It should be noted that System 1 preferably comprises at least one of the computing units 23a, 23b, 23c. System 1 can also comprise several or all of the computing units 23a, 23b, 23c. It is also conceivable that the computing units 23b, 23c of the at least one accumulator 27 and / or the at least one external unit 25 comprise the output device 21, the processing device 20, the data storage 22, the input device 18, the data interface 19, the first evaluation device 16, the second evaluation device 17, the tool detection unit 7, the material detection unit 6 and / or the control unit 24 and / or are operatively connected with one of the aforementioned features.

[0083] Additionally or alternatively, the at least one accumulator 27 and / or the at least one external unit 25 comprises the output device 21, the processing device 20, the data storage device 22, the input device 18, the data interface 19, the first evaluation device 16, the second evaluation device 17, the tool detection unit 7, the material detection unit 6, and / or the controller 24. It is known that external units 25 comprise the output device 21, the data storage device 22, the input device 18, the data interface 19, and / or the third computing unit 23c, which can be used for the present method with the aid of a suitable computer program and / or app. Additionally or alternatively, sensors and / or cameras of the external unit 25 can be used as the tool detection unit 7 and / or material detection unit 6.

[0084] In particular, the method according to the description of advantages and / or the claims can be carried out with the aid of at least one of these computing units 23a, 23b, 23c (generally referred to as the at least one computing unit 23). Furthermore, in particular with the aid of the at least one computing unit 23, the at least one target value can be compared with the at least one actual value and / or the at least one target tool characteristic value can be compared with the at least one tool characteristic value and / or at least one deviation can be determined. The deviation can, for example, be output via the at least one output device 21, stored with the aid of the data storage device 22, transmitted with the aid of the data interface 19 and / or further processed with the aid of the computing unit 23.

[0085] Preferably, the method is based on machine learning, such as a decision tree, a Bayesian network, a neural network, a multi-class support vector machine, or k-nearest neighbor classification. This allows the at least one workpiece parameter, at least one tool parameter, at least one workpiece characteristic, at least one tool characteristic, at least one target value, at least one target tool characteristic, at least one actual value, and / or at least one deviation to be determined, adjusted, and / or modified by a single method. For the method, the at least one computing unit 23 can comprise at least one computer program which, when executed, causes the computing unit 23 to perform the method. Furthermore, the computing unit 23 can comprise at least one computer-readable storage medium for the computer program.

[0086] The following description of the in Fig. The alternative embodiment shown in 2 is used for features that differ from those in the one described in Fig. In the embodiment shown in section 1, which is identical in its design and / or mode of operation, the same reference numerals are used. Unless otherwise explained, their design and / or mode of operation corresponds to the design and / or mode of operation of the features already described above.

[0087] Fig. Figure 2 shows a schematic side view of a system 1 according to an alternative embodiment. Many components of the system 1 of the embodiment of the Fig. 2 are very similar or identical to the embodiment of the Fig. 1 shown. For the sake of clarity, the following are different from the exemplary embodiment: Fig. 1 in the embodiment of the Fig. 2 only the cloud is shown as an external unit 25. System 1 of the exemplary implementation of the Fig. 2 comprises a cleaning machine 29, which, however, is also included in system 1 of the embodiment of the Fig. 1 could be added.

[0088] The cleaning machine 29 is exemplified as a vacuum cleaner, preferably an industrial vacuum cleaner, wet / dry vacuum cleaner, and / or mobile extraction unit. The machine tool 2 comprises at least one connection section 30, by means of which the cleaning machine 29 can be brought into operative connection with the machine tool 2. In the illustrated embodiment, the cleaning machine 29 can thus remove and / or extract the material removed from the workpiece 5 by the tool 4. Additionally or alternatively, the machine tool 2, the tool 4, and / or the workpiece 5 can be cleaned and / or extracted by means of the cleaning machine 29. This cleaning can take place before, after, and / or during the operation of the machine tool 2.

[0089] The system 1 shown is particularly suitable for enabling the aforementioned method, especially the method for controlling and / or operating the at least one machine tool 2 or the at least one cleaning machine 29. In particular, the system 1 is suitable for enabling the method for controlling and / or operating the at least one machine tool 2 and the at least one cleaning machine 29. It is conceivable that the cleaning machine 29 can be monitored and / or at least one cleaning parameter determined using a monitoring unit 31. For example, it is possible to determine the cleaning speed, cleaning pressure, cleaning distance, cleaning duration, suction pressure, suction power, and / or cleaning cycle time using the monitoring unit 31.

[0090] In the illustrated embodiment, the cleaning machine 29 includes, by way of example, at least a sixth data interface 19f and a seventh data interface 19g. The sixth data interface 19f can, for example, be connected to the third data interface 19c of the accumulator 27. However, this is usually only necessary if the cleaning machine 29 is to be operated with the accumulator 27, which, however (similar to the machine tool 2), is not absolutely necessary. With the aid of the seventh data interface 19g (in particular designed as a radio interface), the cleaning machine 29 can be connected to the external unit 25, the accumulator 27 and / or the machine tool 2 in a data connection.

[0091] In the method for controlling and / or operating the at least one machine tool 2 and / or the at least one cleaning machine 29, it is possible, for example, that the energy supply and / or the cleaning performance of the cleaning machine 29 (for example, with the aid of the accumulator 27 and / or its processing unit 23b) is increased when the workpiece parameter indicates a high moisture content of the workpiece 5. It is also conceivable that at a high speed of the tool 4 and / or with special tools 4, an increased quantity of particles is removed from the workpiece 5, and therefore the energy supply and / or the cleaning performance of the cleaning machine 29 is increased.

[0092] Additionally or alternatively, it is possible for the cleaning machine 29 to be reconfigured based on cleaning parameters and / or cleaning characteristics determined by the monitoring unit 31 and / or further processed by a fourth computing unit 23d of the cleaning machine 29. For example, if it is detected that the cleaning machine 20 is achieving reduced cleaning performance (due to a full collection container, a blocked suction pipe, or insufficient battery charge), the machine tool 2 can be throttled and / or a warning signal can be issued. Reference symbol list 1 system 2 machine tools 3 processing units 4 tools 5 workpieces 6 Material acquisition unit 7 Tool acquisition unit 8 Work table 9 Joint arrangement 10 Drive 11 cases 12 Recording element 13 Tool sensor 14 first material sensor 15 second material sensor 16 first evaluation unit 17 second evaluation unit 18 Input device 19 Data interface 20 processing facilities 21 Output device 22 Data storage 23 Calculation unit 24 Control 25 external unit 26 Supply interface 27 Accumulator 28 Identification section 29 Cleaning machine 30 Connection section 31 Monitoring unit

Claims

Method, in particular a computer-implemented method, for controlling and / or operating at least one machine tool (2) and / or at least one cleaning machine (29), wherein at least one workpiece parameter of a workpiece (5) to be machined by the machine tool (2) and / or at least one tool parameter of a tool (4) of the machine tool (2) is provided, wherein the at least one workpiece parameter and / or the at least one tool parameter is further processed, in particular with the aid of at least one computing unit (23) of the machine tool (2), an accumulator (27), an external unit (25) and / or the cleaning machine (29). Method according to the preceding claim, characterized in that the at least one workpiece parameter and / or the at least one tool parameter is detected before, during and / or after machining the workpiece (5), in particular by means of a material detection unit (6) and / or a tool detection unit (7) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29), and / or is entered, in particular by means of an input device (18) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29). Method according to one of the preceding claims, characterized in that before, during and / or after machining the workpiece (5), in particular with the aid of the at least one computing unit (23) and / or with at least one evaluation device (16, 17), a workpiece characteristic value and / or a tool characteristic value is formed from the at least one workpiece parameter and / or from the at least one tool parameter. Method according to one of the preceding claims, characterized in that before, during and / or after machining the workpiece (5), in particular with the aid of the at least one computing unit (23), the at least one evaluation unit (16, 17) and / or at least one processing unit (20) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29), at least one target value and / or at least one target tool value is determined based on the at least one workpiece parameter, the at least one tool parameter, workpiece characteristic value and / or tool characteristic value. Method according to one of the preceding claims, characterized in that before, during and / or after machining the workpiece (5), in particular with the aid of the input device (18) and / or a control (24) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29), at least one actual value of a drive (10) of the machine tool (2) and / or the cleaning machine (29) is detected, determined, controlled and / or entered. Method according to one of the preceding claims, characterized in that before, during and / or after machining the workpiece (5), in particular with the aid of the input device (18) and / or a data interface (19) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29), the at least one tool characteristic value, the at least one workpiece characteristic value, the at least one target value, the at least one target tool value, the at least one actual value and / or at least one data table is entered and / or received. Method according to one of the preceding claims, characterized in that the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one target value, the at least one actual value and / or the at least one target tool value is output before, during and / or after machining the workpiece (5), in particular by means of an output device (21) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29), and / or is transferred to the at least one drive (10) of the machine tool (2) and / or to the cleaning machine (29). Method according to one of the preceding claims, characterized in that before, during and / or after machining the workpiece (5), in particular with the aid of the control (24) and / or the computing unit (23), the at least one target value is compared with the at least one actual value and / or the at least one target tool characteristic value with the at least one tool characteristic value and / or at least one deviation is determined. Method according to one of the preceding claims, characterized in that the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one target value, the at least one target tool characteristic value, the at least one actual value and / or the at least one deviation is stored, in particular with the aid of a data storage device (22) of the machine tool (2), the accumulator (27), the external unit (25) and / or the cleaning machine (29). Method according to one of the preceding claims, characterized in that the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one target value, the at least one target tool characteristic value and / or the at least one actual value is changed and / or adjusted based on the at least one deviation, in particular stored in the data memory (22). Method according to one of the preceding claims, characterized in that the at least one workpiece parameter, the at least one tool parameter, the at least one workpiece characteristic value, the at least one tool characteristic value, the at least one target value, the at least one target tool characteristic value, the at least one actual value and / or the at least one deviation is determined, adapted and / or changed by a method based on machine learning, such as a decision tree, a Bayes network, a neural network, a multi-class support vector machine or a k-nearest neighbor classification. Computing unit (23) for regulating and / or controlling at least one machine tool (2) and / or one cleaning machine (29), which is configured to operate the machine tool (2) and / or the cleaning machine (29) according to a method according to one or more of the preceding claims. A computer program which, when executed by a computing unit (23), causes the latter to execute a method according to one or more of the preceding claims. A computer-readable storage medium comprising a computer program, in particular according to the preceding claim, wherein the computer program, when executed by means of a computing unit (23), causes the latter to execute a method according to one or more of the preceding claims. System (1) comprising at least one machine tool (2) and / or at least one accumulator (27) and / or at least one external unit (25) and / or at least one cleaning machine (29), characterized in that the at least one machine tool (2) and / or the at least one accumulator (27) and / or the at least one external unit (25) and / or the at least one cleaning machine (29) comprises a computing unit (23) according to one or more of the preceding claims.

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