Planning method of road milling work and corresponding computer program

Abstract

The invention relates to a method for operating one or more road milling machines. To this end, material properties of the road are detected and are geographically assigned to one or more roads or segments. According to the material characteristics, the to-be-expected milling power or the expected abrasion of the milling tool when the road milling machine executes milling work on the road is obtained. And establishing an optimized sequence of the milling work to be performed according to the data. The invention also relates to a corresponding control device and to a computer program product for carrying out the method. According to the method, the control device and the computer program product, the cost for carrying out the road milling work can be obviously reduced.

Description

[0001] Divisional application

[0002] This application is a divisional application. The application number of the original application is 201710086574.9, the application date is February 15, 2017, and the name of the invention is “Planning method for road milling work and corresponding computer program”. Technical Field

[0003] To remove road traffic areas, such as roads, road sections, or parking spaces, road milling machines are currently used, with the aid of which one or more or all layers of the road can be removed by milling. The milling power achievable with a corresponding road milling machine, for example, the milling area or volume achievable per time unit, is closely related to the material properties of the road traffic area to be processed. Similarly, the wear of the milling tools is directly affected by the material properties of the road or road section. This dependency makes it difficult to plan the use of machinery for the milling work to be carried out. This can result in more time, machinery, or material resources being allocated to the road milling work than required, which leads to increased costs. Similarly, resources may not be adequately incorporated into the planning, which can lead to delays. The latter can have a significant negative impact, particularly in the case of milling tasks that are subsequently included in the plan, and can result in high subsequent costs, for example, if subsequent processing steps cannot be carried out or are only carried out with delay. Background Art

[0004] Document DE 10 2013 112 972 A1 discloses a method for wear prediction of a ground working machine, particularly a road milling machine. To this end, the current wear state of a chisel or a chisel holder is detected and the residual wear capacity is derived from this wear state. The remaining operating efficiency until the tool reaches its wear limit is then derived from the residual wear capacity, for example in the form of still millable mass or milled volume or remaining operating time. The material properties of the ground being machined can also be taken into account when determining the remaining operating efficiency. These material properties can be derived, for example, by sampling or from mechanical parameters of the ground working machine set during milling.

[0005] US 2015 / 0197253 A1 discloses a system that determines and graphically displays the quality of the process when machining a surface, such as a road, using a surface machining machine. The quality of the machined road section can be determined and evaluated using suitable sensors on the road machine and compared with predefined values. The spatially resolved display enables the road machine operator to selectively refine individual road sections. For example, the quality characteristic can be indicated by ground irregularities caused by the "jumping" of the surface machining machine. Summary of the Invention

[0006] The object of the present invention is to provide a method, a control device and a computer program product which enable an optimized use of a road milling machine and of the resources required for carrying out road milling work.

[0007] The object of the present invention is achieved by a method for operating one or more road milling machines, the method comprising at least the following steps:

[0008] - determining and / or inputting material properties of a road and / or a road section and / or characteristic values ​​associated with the material properties;

[0009] - assigning the material properties and / or characteristic values ​​to the respectively associated road names and / or road section names and / or geographical coordinates;

[0010] - predefining at least two roads to be processed by milling and / or road sections to be processed;

[0011] - based on the material properties and / or characteristic values ​​determined for the road or road section, determining at least one milling power to be expected of the road milling machine for the road to be machined and / or the road section to be machined,

[0012] A sequence of road milling tasks to be performed that optimizes at least the milling performance is determined and displayed.

[0013] In the present invention, a road or road section refers to fixed traffic routes and road traffic areas of all shapes, ie, also parking spaces, sidewalks, bicycle lanes, etc.

[0014] With suitable selection of the mechanical parameters of the road milling machine, the achievable milling power of the road milling machine is determined primarily by the material properties of the road or road section to be stripped. Therefore, given the known material properties of the road or road section, or the known characteristic values ​​associated with these material properties, the achievable milling power can be predicted. This prediction applies to suitably selected mechanical parameters. If the milling power is known, the milling tasks to be processed can be precisely planned. To this end, in particular, the sequence of different milling sections within a construction site or the sequence of different milling operations on different construction sites can be predefined in an optimized manner. For this purpose, the optimization can be carried out with respect to the required working time and / or the required resources. Furthermore, it is possible to coordinate the use of multiple road milling machines with one another. The method thus enables optimized operation of one or more road milling machines in terms of their operating efficiency and the resources required for their operation. This significantly reduces the overall costs, in particular for carrying out multiple consecutive milling tasks.

[0015] According to a preferred embodiment of the present invention, for carrying out a predetermined road milling task, the following may be determined and displayed based on the material properties and / or characteristic values ​​assigned to one of the roads to be processed or one of the road sections to be processed: the operating duration of the road milling machine and / or the fuel consumption and / or the wear of at least one tool and / or the amount of required wearing parts and / or the amount of fuel required and / or the amount of required auxiliary fuel. In particular, if the operating duration is known, the progress of two or more to-be-performed milling tasks can be optimally coordinated with one another. Furthermore, the simultaneous use of multiple road milling machines can be coordinated. This minimizes costly downtime and maintenance of the road milling machines. If the wear of the milling tools is known, the milling tasks to be performed can be planned so that any tool changes are performed during the otherwise required downtime of the road milling machine, for example, at the end of a milling task.

[0016] Regardless of the method chosen for determining the characteristic values ​​associated with the material properties, it can be provided that the material properties for the road or road section are determined from the characteristic values. Based on the material properties, the milling power, milling tool wear, or required material and resource requirements can be predicted for any road milling machine in accordance with its properties.

[0017] For example, the milling power of a road milling machine, the wear of the milling tools of the road milling machine, or the required material and fuel resources can be predicted with sufficient accuracy, wherein the abrasiveness and / or hardness and / or material type and / or material composition and / or temperature and / or layer structure of the road or road section are determined as material properties.

[0018] Furthermore, the milling power of the road milling machine, the wear of the milling tools of the road milling machine or the required material and fuel resources are correctly predicted by determining at least one mechanical parameter of the road milling machine obtained for performing the milling task to be planned as a characteristic value associated with the material property.

[0019] To determine the material properties, for example, during the first milling process performed within the working area to be machined, the following mechanical parameters may be determined: the milling depth, and / or the feed of the milling machine, and / or the milling roller speed of the milling machine's milling rollers, and / or the torque transmitted to the milling rollers, and / or the drive power or fuel consumption transmitted to the milling rollers. For example, given a predetermined milling depth, a predetermined feed, and a predetermined milling roller speed, the required torque to be transmitted to the milling rollers is determined based on the existing material properties of the road or road section to be milled. For harder roads, a higher torque is required than for softer roads. Based on the set and determined mechanical parameters or a combination of these mechanical parameters, the material properties of the road or road section can be inferred. For example, the mechanical parameters or the material properties derived therefrom are determined during the first milling process on the road or road section. Based on the material properties or mechanical parameters thus obtained as characteristic values ​​associated with the material properties, it is now possible to predict the milling power, milling tool wear, or the material and resource requirements for further milling operations in a work area that may be based on the same or similar material properties as in the already milled section. For example, in a multi-lane driving lane, one lane is typically milled first, followed by the processing of the remaining lanes. The lanes still to be processed can be based on the same material properties as those derived from the mechanical parameters used when milling the already processed lanes. Thus, the previously determined mechanical parameters or the material properties derived therefrom can be used for planning work on the remaining lanes.

[0020] The accuracy of the material properties determined from the mechanical parameters of the road milling machine during previously performed milling operations in the work area to be planned can be improved by taking into account the wear of at least one tool of the road milling machine during milling of a specific surface when determining the material properties from the mechanical parameters. The combined evaluation of the mechanical parameters and the wear allows for the material properties of the processed ground to be inferred with high accuracy.

[0021] According to a variant of the invention, it can be provided that the position data of the road milling machine are detected and assigned to specific material properties and / or characteristic values. For example, during a milling process on a road section, the material properties or characteristic values ​​are uniquely and, for example, automatically assigned to the corresponding position data. The obtained material properties or characteristic values ​​can then be used for planning other construction sites in the corresponding work area. During the planning process, the corresponding material properties or characteristic values ​​for the road or road section already processed by the road milling machine can be retrieved based on the position data of the road milling machine. The milling power, wear, or material and resource requirements can then be predicted based on these material properties or characteristic values. This prediction is advantageous, for example, in a centrally arranged planning system, in which the milling work to be performed is planned directly on site on at least one of the installed road milling machines.

[0022] It is also conceivable to determine material properties and / or characteristic values ​​associated with these properties during the construction process of the road or road section. Based on the machine, material, and process parameters used during the construction of the road or road section, the material properties required for the subsequent milling process can be determined and stored, either locally or for a predefined work area. These material properties, or those derived therefrom, can then be used during the subsequent removal of the road or road section by milling. This is particularly advantageous because the material properties of the road or road section to be processed do not need to be specifically determined before planning the milling work to be performed.

[0023] According to one possible variant of the present invention, the measurement data obtained by the measuring system can be determined as characteristic values ​​associated with material properties. For example, the measuring system can determine the hardness of the road surface or the layer structure of the road. It is also conceivable to perform suitable measurements on drill cores from previously performed sample drillings. The measurement data can then be assigned to the corresponding road, road section, or area. The measurement data can directly represent the desired material properties, or the material properties can be derived from the measurement data.

[0024] According to a particularly preferred embodiment of the present invention, when predefining the sequence of road milling operations, the transport times of the road milling machine between the roads and / or road sections to be processed and / or the maintenance intervals of the road milling machine can be taken into account. This measure can avoid or at least reduce downtimes of the road milling machine, thereby reducing the overall costs for the milling operations to be performed.

[0025] Optimized construction site planning is achieved by determining the milled area and / or milled volume and / or milled quality and / or milled path per unit of time as milling power. When planning the milling plan, the required workload is known, for example, in the form of the area to be milled, the volume to be milled, the mass to be milled, or the path to be milled. If the milling power is derived from the material properties of the road or road section, the time required to execute the milling plan can be determined based on the workload and milling power, for example. This can include the required downtime of the road milling machine. If the wear of the milling tool, for example, due to workload or usage time, is known, the downtime of the road milling machine required for tool replacement can be predicted and appropriately accounted for. This allows for optimal coordination of the sequence of milling operations to be performed sequentially (even by multiple road milling machines). It is conceivable that the method also detects and stores the workload for machining the road or road section so that it can be used during the planning phase. For example, the workload can be detected and stored during the construction of the road or road section.

[0026] The object of the present invention is also achieved by a control device for operating one or more road milling machines, which control device performs at least the following steps:

[0027] - detecting and storing material properties of roads and / or road sections and / or characteristic values ​​associated with these material properties as well as the respectively associated road names and / or road section names and / or geographical coordinates;

[0028] - detecting at least two roads to be processed by milling and / or road sections to be processed;

[0029] - based on the material properties and / or characteristic values ​​determined for the road or road section, determining at least one milling power of the road milling machine for the road to be machined and / or the road section to be machined and / or the wear of at least one tool of the road milling machine;

[0030] A sequence of road milling tasks to be performed that is optimized at least with respect to milling performance and / or wear is determined and output.

[0031] Such a control device is capable of carrying out the method.

[0032] The object of the invention is also achieved by a computer program product which can be downloaded directly into the internal memory of a digital computer and comprises software code sections which, when the product is run on a computer, implement the steps according to any one of claims 1 to 12 .

[0033] The object of the present invention is also achieved by a computer program product, which is stored in a medium that can be inserted into a computer and includes computer-readable program means by which a computer can execute the method according to any one of claims 1 to 12.

[0034] For this purpose, the computer can be integrated in the control device or be part of the control device. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The invention will be explained in more detail below with reference to the exemplary embodiments shown in the drawings.

[0036] in:

[0037] Figure 1 A road milling machine is shown in schematic and side views;

[0038] Figure 2 An exemplary road structure is shown in a simplified schematic diagram;

[0039] Figure 3 A planning system for planning a road milling job is shown in a simplified block diagram;

[0040] Figure 4 The various method steps during the planning phase are shown in block diagram form; and

[0041] Figure 5The individual method steps during the data detection phase are shown in a block diagram. DETAILED DESCRIPTION

[0042] Figure 1 A road milling machine 10 is shown in a schematic diagram and a side view. A machine frame 12 is supported by running gear 11.1, 11.2, such as a chain drive or wheels, via four lifting columns 16.1, 16.2 in a height-adjustable manner. The road milling machine 10 can be operated from a control panel 13 via a control device 17 arranged therein. A milling roller 15, which is concealed and indicated by dashed lines in the schematic diagram, is rotatably mounted in a concealed milling roller housing. A conveyor device 14 serves to transport the milled product.

[0043] During use, the road milling machine 10 moves on the ground to be processed at a feed rate input via the control device 17. For this purpose, a milling tool (not shown) arranged on the rotating milling roller 15 removes the ground. Figure 2 20 is shown in the structure. The milling tool is usually designed as a chisel, preferably a round shank chisel, which is replaceably mounted in a chisel holder. In particular, a chisel holder replacement system is known and can be used in the present invention, in which the chisel holder is replaceably fixed in a base part. For this purpose, the base part is fixed to the surface of the milling roller, for example welded there. For this purpose, the milling tool and the chisel holder can be arranged in such a way that one or more cutting spirals are formed on the surface of the milling roller. The cutting spirals produce a more continuous cutting action of the milling tool. In addition, the cutting spirals can also take on the cleaning effect. and load action, wherein the stripped milled material is transported along the surface of the milling roller 15 to the scraping position. The milling roller 15 is driven by a motor via a drive unit. The height position and the speed of the milling roller 15 can be set by a control device 17. The milling depth is set via the height position of the milling roller 15. For this purpose, the height position of the milling roller 15 relative to the surface to be processed can be set, depending on the type of machine, via height-adjustable lifting columns 16.1, 16.2 or via a special height adjustment device relative to the machine frame. Ultimately, the operating efficiency of the road milling machine 10 is determined from the feed rate and the milling depth, that is, for example, the path or area or mass, or more precisely the volume, stripped per time unit.

[0044] The achievable operating efficiency and milling tool wear of a road milling machine 10 are closely related to the material properties of the road 20 to be removed, such as hardness and abrasiveness. This complicates construction site planning regarding the achievable milling output and, consequently, the required working time and the anticipated milling tool wear. Consequently, successive milling operations can only be poorly coordinated with one another, leading to delays or undesirable downtime of the road milling machine 10. Similarly, the amount of material required to operate the road milling machine 10, such as wearing parts, fuel, or auxiliary fuel, can only be predicted with insufficient precision. In one case, this can result in an oversupply of material at the construction site, resulting in correspondingly higher costs. In another case, insufficient material can lead to undesirable delays.

[0045] Figure 2 A simplified schematic diagram shows an exemplary structure of a road 20. Starting from a roadbed 26, an antifreeze layer 25 and a crushed stone support layer 24 are provided. Layered on top of these are an asphalt support layer 23, an adhesive layer 22, and a cover layer 21, which forms the road surface 20.1. Depending on the milling work to be performed, one or more of these layers are removed using a road milling machine 10.

[0046] The material properties of road 20 that are important for milling are determined by the materials, conditions, and process parameters used during the construction of road 20, as well as the thickness of the individual layers. The material properties may also be dependent on the prevailing ambient conditions, such as the ambient temperature. Important material properties may be the abrasiveness or hardness of road 20. These properties are determined, for example, by the material type, material composition, temperature, and / or layer structure of road 20.

[0047] Typically, the material properties of road construction remain within a wide range. Therefore, when constructing a new road surface, asphalt mixtures that are as similar as possible can be used. Advantageously, construction is carried out in a single process, which is mandatory, for example, with OPA (porous asphalt or "noise-reducing asphalt"). Consequently, road construction within a defined area, such as a highway section or an area defined by geographic coordinates, generally has relatively constant material properties. This allows for the assignment of material properties to a location or spatially restricted area. This location or area can preferably be identified by street name, section name, or geographic coordinates. If the material properties of a road 20 are known, the present invention allows for predictions to be made for future milling work on that road 20, including the expected productivity of the road milling machine 10 and / or the wear of the milling tools. These values ​​can be taken into account when planning future construction sites. The expected productivity can thus be used to derive the time required to carry out the milling task. Knowing the wear of the milling tools, the required replacement parts can be determined. Similarly, the required fuel and auxiliary fuel can be determined. Knowing this data, the present invention allows for an optimal determination and predetermination of the sequence of the various milling tasks to be performed, i.e., such that the overall expenditure in terms of time and material consumption is minimized. This preferably also takes into account the transport time of the road milling machine between different construction sites. It is also advantageous to include downtimes of the road milling machine 10, such as those required for maintenance work, in the construction site planning. This allows for optimized planning of the use of one or more road milling machines 10.

[0048] By means of such an optimized use planning, the overall costs for the milling work to be carried out can be significantly reduced due to reduced downtimes of the road milling machine 10 and reduced material costs, storage costs and transport costs.

[0049] Figure 3A simplified block diagram shows a possible variant of a planning system 30 for planning road milling operations. Planning system 30 is assigned an electronic memory 31 and a computing unit 32 connected to memory 31. Similarly, an input unit 34 and an output unit 33 are connected to planning system 30. For example, to transmit characteristic values ​​40 associated with the material properties of road 20, planning system 30 has an interface 30.1. In this case, interface 30.1 is designed as a wireless interface. However, it can also be implemented as a wired interface, such as a USB interface, or any other type of interface 30.1 can be provided. Construction data 41 of the construction process of road 20, measurement and test data 42 for determining the material properties of road 20, and / or milling data 43 of the road milling machine 10 when stripping road 20 can be read into planning system 30 via interface 30.1 as characteristic values ​​40 associated with the material properties. Similarly, position data 80 of road 20 or material properties can be directly transmitted to planning system 30 via interface 30.1. Preferably, other data can also be transmitted to or output from the planning system 30 via the interface 30.1. Furthermore, the data or parts of the data (e.g., material properties, characteristic values ​​40, position data 80) can also be input to the planning system 30 via the input unit or output via the output unit 33. This data is stored in the electronic memory 31 and processed, for example, via a database system. For this purpose, corresponding position values ​​80 are assigned to the material properties and / or characteristic values ​​40. Position values ​​80 are preferably specified in the form of spatially restricted geographic coordinates or road or section names, i.e., as defined and spatially restricted working areas. The material properties or the characteristic values ​​associated therewith can be stored simultaneously with the corresponding position values ​​80 or with a time delay.

[0050] The calculation unit 32 can be designed to determine the characteristic value 40 or directly the material property from the construction data 41 , the measurement data 42 and / or the milling data 43 .

[0051] Preferably, the material characteristics of the road 20 are already detected during the construction of the road as construction data 41. The layer structure and the material composition are known during the construction process, from which the material properties can be derived.

[0052] The road milling machine 10 can remove only a portion of the road surface, for example, a single lane on a highway. For this purpose, the road milling machine may not mill the entire length of the surface to be processed in one operation. Thus, it is possible that at a first point in time, a portion of the existing lane is first removed, and work is continued at this location at a later point in time. During the milling operation carried out at the first point in time, the material properties of the road 20 can be determined manually or automatically. For example, the material properties can be derived from the milling data 43 determined during the milling process, such as the mechanical parameters 74 of the road milling machine 10. The material properties thus determined can then be used to plan the remaining milling operation. For example, a prediction of the future milling power or expected wear is made within a defined working range, in which the material properties of the road 20 or the road section to be milled remain constant.

[0053] Advantageously, the working area is determined and retrieved as described. For this purpose, preferably road names or route names are used, for example, highway names within an area defined by kilometer regulations.

[0054] During the detection of material properties or associated characteristic values ​​40, the operator can manually detect the corresponding working area and store it in the planning system 30. Furthermore, the machine position of, for example, a road milling machine during the construction of a road 20 or a road milling machine 10 during the demolition of a road, and the material properties or characteristic values ​​40 obtained from this, can be detected. The operator can then define or enter a working area around the machine position for which suitable material properties or characteristic values ​​are provided. During the construction process, the correct position data of the construction material and / or the corresponding process parameters can advantageously be detected and stored with location resolution. For this purpose, the position data can also be detected manually or automatically and transmitted to the planning system 30.

[0055] The planning system 30, or parts of it, is advantageously centrally arranged. This allows the planning system 30 to be used by different users and / or for planning different construction sites. Advantageously, the centrally arranged planning system 30 is interconnected with decentralized input and output units 34, 33. The planning system 30 can be accessed via the input and output units and the corresponding data acquisition (material properties, characteristic values ​​40, work area) or construction site planning can be performed. The input and output units 34, 33 can, for example, be located on the respective road milling machine 10. It is also possible to centrally arrange only the memory 31 and, if necessary, the database functionality, and to arrange the computing unit 32 and the input and output units 33, 34 decentralized. Advantageously, when the planning system 30 is centrally or partially centrally arranged, the current data storage is identical for all users of the planning system 30. Furthermore, provision can be made for the planning system 30 to be decentralized, for example, on the respective road milling machine 10. Advantageously, the decentralized planning systems 30 are connected or connectable to one another so that the data stored in the memory 31 can be exchanged.

[0056] The material properties can be stored directly in the memory 31 for each working area. Alternatively, however, unprocessed data resulting from the construction process, the measuring process, and / or the milling process can also be stored. The unprocessed data form characteristic values ​​40 associated with the material properties. Preferably, the corresponding material properties can be determined from these characteristic values ​​by the calculation unit 32 and used for the planning process. Alternatively, however, it is also conceivable to use the unprocessed data (characteristic values ​​40) directly for the planning process. Thus, for example, the mechanical parameters 74 of the road milling machine 10 obtained during the milling process or the milling power provided during the working process can be stored as characteristic values ​​40. The mechanical parameters 74 can then be used for the planning process in the same working area. Advantageously, this eliminates the need to derive the material properties from the mechanical parameters 74. The mechanical parameters 74 are preferably used for the planning process of a road milling machine 10 of the same type as the road milling machine 10 from which the mechanical parameters 74 were derived. However, application to other types of road milling machines 10 is also conceivable, wherein different power data of the road milling machine 10 must be taken into account.

[0057] During data acquisition, the acquired material properties or characteristic values ​​40 can be automatically assigned to specific work areas, for example, using a GPS system. Alternatively, the acquired material properties or characteristic values ​​40 can be manually assigned to specific work areas. This can be done directly during the acquisition or separately from the acquisition. This makes it possible to acquire and store construction data during road construction. This data can then be transmitted to the planning system 30, for example, using a remote data transmission device or a removable data carrier, and stored in the memory 31. The corresponding work areas can then be assigned in the planning system 30 in a subsequent process.

[0058] Figure 4 A possible embodiment of the individual method steps during the planning phase of the road milling work to be carried out is shown in a schematic block diagram in the form of a flowchart 50. A first program block 51, a second program block 52, and a third program block 53 are successively assigned to flowchart 50. Third program block 53 is connected to a fourth program block 54, a fifth program block 55, a sixth program block 56, and a seventh program block 57.

[0059] In the first block 51, the set work place is selected. This can be done, for example, by using Figure 3 Input unit 34, shown in FIG, enters the work area into planning system 30. The work area can be characterized by spatially limited geographic coordinates or by a unique name of a road 20 or road section. In a second program block 52, the material properties for the work area are retrieved from memory 31. To manage the stored data, planning system 30 preferably has a suitable database. In a third program block 53, based on the material properties, planning system 30 generates a forecast of the expected work efficiency and material required for the work area specified in first program block 51. To this end, in the illustrated embodiment, the expected milling power is output in fourth program block 54. This milling power can, for example, be the distance or area to be milled per unit of time. Similarly, the milling power can be given by the volume to be milled or the mass to be milled. In the illustrated embodiment, the expected wear of the milling tool is also determined and output based on the material properties in fifth program block 55. This wear can be given, for example, in the form of a wear rate, i.e., a change in the length or volume of the chisel per unit of time, or with reference to the milling work performed. The latter includes, for example, the change in tool length or tool volume per milling mass, per milling volume, or per milling distance or area. It is also conceivable to predict the number of tool changes required during the planned milling work. This advantageously allows for the necessary replacement parts to be made available at the construction site. Preferably, the expected working duration for performing the milling task is also determined, as provided, for example, in the sixth program block 56. According to the seventh program block 57, it is advantageously provided that the fuel consumption of the road milling machine 10 is predicted. Knowing this expected milling and consumption data, as well as other expected milling and consumption data as necessary, allows for optimized construction site planning. This relates, on the one hand, to the provision of the required materials, particularly replacement parts, fuel, and auxiliary fuel. On the other hand, the expected working duration and milling power allow for optimized, temporal planning of the use of the road milling machine 10 or multiple road milling machines 10. This is particularly advantageous when planning successive tasks at multiple work sites, as it allows for optimized construction site workflows and reduces downtime of the road milling machine 10.

[0060] Figure 5The individual method steps during the data detection phase are shown schematically in block diagrams.

[0061] The construction process branch 60 of data detection describes the material properties obtained and stored during the construction process of the road 20. The layer structure 61, the mixture properties 62 and the rolling data 63 are delivered to the detection construction data program block 64. When giving the mixture properties 62, the temperature 62.1 of the mixture and the mixture material properties 62.2 of the mixture itself or the composition of the mixture are taken into account. For this purpose, the composition of the mixture is preferably also included. The position data belonging to the construction data are detected in the detection position data program block 65. The data in the detection construction data program block 64 and the detection position data program block 65 are delivered to the allocation program block 66 and the material properties program block 66.1 or the working area program block 66.2 there. Next, the data is conducted to the memory 31.

[0062] In order to detect the data during the construction process, the layer structure 61, the mixture properties 62, the compaction data 63 and the corresponding position data can be detected by the road construction machine used or its operator and can be recorded via Figure 3 The input unit 34 shown in FIG is manually input into the planning system 30. In addition, it can be provided that the data are directly input from the road making machine via the Figure 3 The position data are input into the planning system 30 via the interface 30.1 shown in FIG. . The position data are preferably provided by a system for identifying positions, such as a GPS, which is arranged on the road construction machine. It is also conceivable that the operator of the road construction machine detects and inputs the current position of the road construction machine. The path traveled during construction and, if necessary, the construction width can be detected electronically, whereby areas with identical material properties can be determined very accurately. From the position data, a spatially limited working area is formed automatically by the planning system or by input via the input unit 34, within which the material properties of the road 20 are identical. The important material properties of the road 20 are derived from the construction data of the road 20 collected in the detection construction data program block 64 and the working area defined by the position data is allocated in the allocation program block 66. For this purpose, the working area can be described by limited geographical coordinates or by the name of the road or section. Preferably in Figure 3 The material properties are derived from the construction data in a calculation unit 32 shown in FIG. The work areas and the respectively assigned material properties are then stored in a memory 31 . Alternatively, it is possible to assign construction data to the work areas and store them in the memory 31 . The construction data then form characteristic values ​​40 associated with the material properties of the road 20 .

[0063] In one embodiment, the milling data detection branch 70 represents a possible approach for determining the material properties required during the milling process. The milling data detection branch 70 includes a second position data detection block 71, a manual input block 72, and a second assignment block 73, which includes a second working area block 73.1 and a second material property block 73.2. Mechanical parameters 74 of the road milling machine 10 are fed to a milling parameter detection block 75 and transmitted to the second material property block 73.2. In the illustrated embodiment, the mechanical parameters 74 are milling depth 74.1, wear 74.2, feed 74.3, fuel consumption 74.4, and milling roller speed 74.5. Alternatively, other mechanical parameters 74 that influence the material properties of the road 20 to be milled, such as the torque transmitted to the milling roller, may be set, or only a portion or a single mechanical parameter of the illustrated mechanical parameters 74 may be used.

[0064] When performing the milling work, the mechanical parameters 74 of the road milling machine 10 used, which are predetermined by the operator and are derived therefrom, are correlated with the material properties of the road 20 to be milled. Consequently, a higher torque is required for the milling roller in a relatively hard road 20 than in a less hard road 20, so that a predetermined milling roller speed 74.5 is achieved at a predetermined milling depth 74.1 and a predetermined feed 74.3. The material properties of the milled road 20 can be derived from the mechanical parameters 74 collected in the milling parameter detection block 75 in a second material properties block 73.2. The mechanical parameters can be transmitted directly from the road milling machine 10 to the planning system 30. In addition, the material properties of the road 20 can be determined in the manual input block 72, for example via Figure 3 The input unit 34 shown in FIG. 1 inputs mechanical parameters 74 .

[0065] Thus, the required material properties or the characteristic values ​​40 associated therewith can be detected and assigned to the corresponding working areas, both by data acquisition during the construction process of the road 20 and by data acquisition during the first milling work on the road 20. This data can be stored in the memory 31 and used for subsequent planning processes.

[0066] It is also conceivable to detect the required material properties by performing one or more measurements on the road 20 or a road section. In each case, the material properties and the corresponding position data can be detected manually or automatically and transmitted manually or automatically to the planning system 30. It is also possible to automatically detect the position data and for an operator to manually enter which spatially limited areas around the detected position data are suitable for the material properties or characteristic values.

[0067] Planning system 30 and the underlying planning method enable accurate predictions of future road milling work, at least with respect to the expected milling power or wear. This prediction is preferably based on correctly set machine parameters 74 during the milling process. Knowledge of this data allows for optimized work organization and construction site management. Planning system 30 can be centrally located or locally on road milling machine 10.

Claims

1. A method for operating one or more road milling machines (10), comprising at least the following steps: - determining and / or inputting material properties of a road (20) and / or a road section and / or characteristic values ​​(40) associated with said material properties; - assigning the material properties and / or characteristic values ​​(40) to the names and / or geographical coordinates of the respectively associated road names and / or road sections; - predefining at least two roads (20) to be processed by milling and / or road sections to be processed; - based on the material properties and / or characteristic values ​​(40) determined for the road (20) or the road section, determining at least one to-be-foreseen milling power of the road milling machine (10) for the road (20) to be machined and / or the road section to be machined, A sequence of road milling tasks to be performed that optimizes at least the milling performance is determined and displayed.

2. The method according to claim 1, characterized in that In order to carry out a predetermined road milling operation, the following are determined and displayed based on material properties and / or characteristic values ​​(40) assigned to the road (20) to be processed or the road section to be processed, and / or taken into account when determining the sequence of the road milling operations to be performed: the operation duration and / or the fuel consumption and / or the amount of required wearing parts and / or the amount of required fuel and / or the amount of required auxiliary fuel.

3. The method according to claim 1 or 2, characterized in that Material properties for the road (20) or the road section are determined from the characteristic values ​​(40).

4. The method according to any one of claims 1 to 3, characterized in that The abrasiveness and / or hardness and / or material type and / or material composition and / or temperature and / or layer structure of the road (20) or road section are determined as material properties.

5. The method according to any one of claims 1 to 4, characterized in that At least one mechanical parameter (74) of a road milling machine (10) obtained for performing a milling task to be planned is determined as a characteristic value (40) associated with the material property.

6. The method according to claim 5, characterized in that As mechanical parameters (74), the milling depth and / or the feed of the road milling machine (10) and / or the milling roller speed of the milling roller (15) of the road milling machine (10) and / or the torque transmitted to the milling roller (15) and / or the drive power or fuel consumption transmitted to the milling roller (15) are determined.

7. The method according to claim 5 or 6, characterized in that When determining the material properties from the mechanical parameters (74), wear (74.2) of at least one tool of the road milling machine (10) occurring when milling a specific surface is taken into account.

8. The method according to any one of claims 1 to 7, characterized in that Position data of a road milling machine (10) are detected and assigned to certain material properties and / or characteristic values ​​(40).

9. The method according to any one of claims 1 to 8, characterized in that The material properties and / or characteristic values ​​(40) associated with the material properties are determined during the construction process of the road (20) or road section.

10. The method according to any one of claims 1 to 9, characterized in that Measurement data obtained by the measuring system are determined as characteristic values ​​(40) associated with the material properties.

11. The method according to any one of claims 1 to 10, characterized in that When predefining a sequence of road milling operations, the transport time of the road milling machine (10) between the roads (20) and / or road sections to be processed and / or the maintenance intervals of the road milling machine (10) are taken into account.

12. The method according to any one of claims 1 to 11, characterized in that The milling area and / or the milling volume and / or the milling quality and / or the milling path are determined in each case per unit of time as the milling output.

13. A control device for operating one or more road milling machines (10), comprising at least the following steps: - detecting and storing material properties of roads (20) and / or road sections and / or characteristic values ​​(40) associated with said material properties as well as the names of the corresponding road sections and / or names of the road sections and / or geographical coordinates; - detecting at least two roads (20) to be processed by milling and / or road sections to be processed; - based on the material properties and / or characteristic values ​​(40) determined for the road (20) or the road section, determining at least one milling power of the road milling machine (10) for the road (20) to be processed and / or the road section to be processed; - determining and outputting a sequence of road milling tasks to be performed that is optimized at least with respect to the milling power and / or wear ( 74 . 2 ).

14. A computer program product which can be downloaded directly into the internal memory of a digital computer and comprises software code sections by means of which the steps according to any one of claims 1 to 12 are carried out when the product is run on a computer. 15 . A computer program product, stored in a medium that can be inserted into a computer, the computer program product comprising computer-readable program means, by means of which the computer can execute the method according to claim 1 .

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