WO2018087343A1 - Procédé de commande d'un système de moyens de transport, système de traitement de données - Google Patents

Procédé de commande d'un système de moyens de transport, système de traitement de données Download PDF

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Publication number
WO2018087343A1
WO2018087343A1 PCT/EP2017/078969 EP2017078969W WO2018087343A1 WO 2018087343 A1 WO2018087343 A1 WO 2018087343A1 EP 2017078969 W EP2017078969 W EP 2017078969W WO 2018087343 A1 WO2018087343 A1 WO 2018087343A1
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WIPO (PCT)
Prior art keywords
data
parameters
resource
inspection
attributes
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PCT/EP2017/078969
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German (de)
English (en)
Inventor
Ronny SÖLLNER
Karl-Heinz Förderer
Stefan SCHÖLLMANN
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Deutsche Bahn Fernverkehr Ag
Psi Technics Gmbh
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Publication of WO2018087343A1 publication Critical patent/WO2018087343A1/fr

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/30—Trackside multiple control systems, e.g. switch-over between different systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/10—Operations, e.g. scheduling or time tables
    • B61L27/16—Trackside optimisation of vehicle or train operation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/40—Handling position reports or trackside vehicle data
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
    • B61L27/57—Trackside diagnosis or maintenance, e.g. software upgrades for vehicles or trains, e.g. trackside supervision of train conditions

Definitions

  • the invention relates to a method for controlling a transportation system having a number of processes and a number of resources claimed by the processes.
  • the invention further relates to an inspection system and a data processing system for carrying out the method.
  • Modern transport systems such as railway systems, are characterized by a high degree of complexity with many interdependent processes and interdependent resources. This makes it very difficult for parties involved in the transport systems, such as railway network operators, train fleet operators, maintenance facility operators or policy makers, to assess the consequences of changes in the parameters of the transport system. Consequently, it is not possible with known means to optimize the use of resources for the operation of the transport system.
  • the object of the present invention is therefore to provide a method for resource-efficient control of a transport system. This object is achieved by a method according to claim 1 and a data processing system according to claim 15. Advantageous embodiments emerge from the dependent claims. 3 Method of Transportation System Control
  • a method according to the invention is designed to control a transportation system having a number of processes and a number of resources claimed by the processes.
  • the resources comprise at least a number of vehicles, a number of traffic routes for the vehicles, personnel means for operation, inspection and / or maintenance of the vehicles and / or traffic routes and a number of inspection means and maintenance means for the vehicles and / or traffic routes.
  • the inspection means and maintenance means may in particular comprise consumables, devices and / or facilities for inspection or maintenance, for example inspection systems or maintenance facilities. For example, spare parts, tools and / or maintenance equipment such as workshops can be a means of maintenance.
  • the processes include at least a number of operating processes, inspection processes and maintenance processes of the vehicles and / or the means of transport.
  • An operating process is, for example, a journey of a vehicle for the transport of freight and / or passengers.
  • An inspection process is, for example, a manual and / or automated check of a technical functional state of a vehicle.
  • a maintenance process is, for example, a repair of a vehicle.
  • the resources are each characterized by a number of resource attributes.
  • the vehicles may be characterized by their number, their design, their location, their current technical status and / or a predicted future technical condition.
  • the processes are each characterized by a number of process attributes that comprise the resources consumed by the respective process. For example, a journey of a vehicle by the deployed vehicle, the personnel used to carry out the journey, a journey, a travel time, a load of the vehicle and / or weather conditions during the journey may be characterized.
  • a particular advantage of the invention lies in the fact that a large number of resources and processes, in particular all resources and processes relevant for the transportation system, can be detected in order to enable comprehensive control of the transportation system taking into account all relevant resources and processes.
  • the method may include collecting resource attributes and / or process attributes. By collecting, the attributes are advantageously available for further steps of the method.
  • the method may include parameterizing resource attributes into resource parameters and process attributes into process parameters, wherein the process parameters of each process and the resource parameters of each resource comprise at least one cost parameter.
  • the parameters advantageously produce parameters that are more accessible to further analysis, in that the parameters have, for example, comparable data formats.
  • cost parameters By introducing cost parameters, the economic importance of different processes and / or resources can be directly compared through their costs. According to the invention, the term "costs" is understood to mean both the expenses incurred by a process and / or a resource and the revenue generated therefrom.
  • the method may include correlating process parameters and resource parameters with each other and / or each other. By correlating, relationships between the parameters can advantageously be revealed, which in particular allow the cost parameters of the processes and resources to be determined from the remaining parameters.
  • the method may include calculating the total cost of the processes based on their cost parameters. As a result, the total costs for different parameter sets advantageously become accessible and can be compared with one another in order to determine with which parameters the most cost-efficient operation of the transportation system is achieved.
  • a particular problem with a comprehensive automated system and method for controlling a complex system such as a railway network lies in the technical implementation of the balance of interests and the cost compensation of a large number of parties involved.
  • parties involved are train maintenance workshops, train fleet operators, operators of any network, passengers or freight carriers and their representatives, spare parts warehouse operators, spare parts manufacturers, other transport networks with interfaces to the railway network as well as economic interests or political interests such as the transport links of economically disadvantaged regions.
  • the collection may include at least one of the following steps, for example, with methods of data mining:
  • Enterprise resource planning system of the transport system and / or an inspection system for the vehicles and / or traffic routes b) storing the data sets, preferably ordered by
  • Resource parameters and process parameters for example in an online database
  • Step b there is the particular advantage that the stored data quantities are also available for analysis at a later time, in particular in the sense of data mining. are accessible. Steps c and d ensure that attributes necessary for characterizing the resources and processes, in particular all necessary attributes, are identified. For this purpose, for example, in particular once, for each resource and process type, the necessary attributes are stored in a database. For example, it can be specified that for a resource of the "train” type, the attribute "functional condition of the wheels" must necessarily be identified.
  • the parameterization can include at least one of the following steps, for example using methods of data mining:
  • Resource parameters and / or process parameters preferably in a suitable for the correlation format
  • parameters are generated which are suitable for efficient, reliable correlating, in particular with regard to the required computing power.
  • the attributes can be transformed by step c into an advantageously uniform format, which in particular also serves for an exchange of parameters between a method performing the method
  • Step e Data processing system and an external data processing system may be suitable.
  • the data volumes are advantageously provided with a time stamp. Steps e and f ensure that the
  • big data or “mass data” primarily refers to the purposeful and purposeful processing and evaluation of large, complex and rapidly changing amounts of data.
  • the global data volume is estimated to double every two years. This development is mainly driven by the increasing machine generation of data z. B. over protocols of telecommunications connections (Call Detail Record, CDR) and web access (log files), automatic capturing of, for example, RFID readers, cameras, microphones and other sensors.
  • the concept of "big data” is finding its way into more and more spheres of life, such as the automation of production processes (Industry 4.0, Internet of Things) .
  • the concept of non-transparent automation of decision-making processes through the use of software and hardware not only requires implementation in software, but also in hardware such as the appropriate communicative networking of data processing systems or at least partially automated inspection systems, maintenance systems, computer systems for planning the use of scarce resources (such as the allocation of Maintenance facilities or tracks for trains) and / or storage or logistics systems.
  • the present invention relates in particular to approaches on how basic concepts from the field of "big data” can be applied in the most efficient and targeted manner in the context of a rail network.
  • Data mining refers to the systematic application of statistical methods to large volumes of data (in particular "big data”) with the aim of identifying new correlations, dependencies or trends. Due to the amount of data, the Complexity and computational complexity are such methods manually or partially manually economically and or not realizable in real time.
  • Data Mining is sometimes defined as a subordinate term to the entire process of knowledge discovery in databases (KDD), which also includes steps such as data collection or preprocessing, while data mining is actually just the process of parsing the process
  • KDD knowledge discovery in databases
  • Many of the methods used in data mining come from statistics, especially multivariate statistics, which are often only approximated in complexity for the purposes of concrete application at the expense of accuracy, but are often used for data mining applications the experimentally verified benefit and the acceptable
  • Pre-processing for example, data cleansing, which integrates sources
  • Analysis step for example by selecting attributes or discretizing the values; and or
  • the correlating may include at least one of the following steps, for example, with methods of data mining:
  • Classification for, preferably dynamic, assignment of resource parameters and / or process parameters to existing classes and / or d) Association analysis and / or a regression analysis to identify
  • the tasks of data mining can be:
  • Cluster analysis grouping or correlation of objects, properties of
  • Classification elements not previously assigned to classes are dynamically assigned to or removed from existing classes if a certain correlation probability is exceeded;
  • association analysis identification of relationships and dependencies in the data in the form of rules such as "A and B usually follow C";
  • Data mining methods are used in accordance with the invention in order to be able to evaluate a data set with the least possible use of resources on hardware (for data processing, inspection, maintenance, storage and / or other infrastructure) and software in a time and cost-efficient manner by: the data set is taken in more compact metadata without substantial loss of information for the defined purpose.
  • outlier detection looks for data objects that are inconsistent with the rest of the data, such as having unusual attribute values or deviating from a general trend.
  • a "density-based outlier factor” for example, objects are determined that are one of their own
  • Neighbors have significantly different density, the density on the number of Error per unit of time can relate to an object. Identified outliers can then be manually verified and, after a negative plausibility test, hidden from the dataset in order not to falsify or worsen the heuristic of the meta data in the sense of the pursued purpose.
  • Cluster analysis identifies groups of objects that are somewhat more similar than other groups. Often these are clusters or "clusters" in the data space, examples of densely clustered clustering techniques in which the clusters can take any form are DBSCAN or OPTICS, and come in procedures such as an EM algorithm or k-means algorithm Spherical clusters are usually used in the Dataroom, and objects that have not been assigned to a cluster can be interpreted as outliers in the sense of the aforementioned outlier detection.cluster analysis identifies groups of objects that are often enough to examine only by sampling The number of data objects to be examined is significantly reduced, for example, the requirement planning of inspection systems and inspection and / or maintenance intervals can be planned more efficiently.
  • Classification like cluster analysis, is about classifying objects into classes.
  • the classes are generally predefined (for example: bicycles, cars, trains or types of trains).
  • Previously assigned to any class objects are automatically assigned a class.
  • existing classes are not expanded, for example, by changing the criteria for class membership. This would not be relevant to practice, for example, with existing train types, and would also be accompanied by increased computing and hardware costs.
  • Metadata Set A may contain the information that wheel bearings of a train have an above-average defect rate
  • Metadata Set B can tell me which trains have passed a certain distance in a certain period of time.
  • the final rule would say that trains to which metadata sets A and B refer, have a higher probability of defective wheel bearings than other trains traveling on other sections.
  • the conclusion could be that there is a rail defect on the specific section of the track, which mechanically loads and is likely to damage wheel bearings.
  • Regression analysis models the statistical relationship between different parameters. This allows, among other things, the prognosis of missing parameter values, but also the analysis of the deviation analogous to the outlier detection.
  • Correlations play an important role.
  • the computing may be a weighting of resource parameters and / or
  • Process parameters in particular of cost parameters include.
  • additional influencing factors which are not detected by the parameters per se, can advantageously be included in the calculation.
  • other, for example, political, social and / or social goals may also be taken into account.
  • staff costs may be less weighted than other costs if a significant reduction in staffing levels is to be avoided to avoid social unrest.
  • the method may include optimizing process parameters and / or
  • Optimizing can advantageously, in particular automated, parameters for the most efficient operation of the transport system can be found.
  • Optimizing may include predicting a dynamic, individual lifetime of a resource. Forecasting can be done, for example, by a
  • a type-specific life such as a wheel of a vehicle is usually with a large
  • Safety margin specified so that all resources of one type are guaranteed to reach the specified lifetime. However, this results in many resources being exchanged before reaching their individual lifetime. By using a predicted, dynamic, individual lifespan, a resource is not replaced until it is at the end of its lifespan, saving on material and labor costs.
  • the optimization can include a local and / or temporal decoupling of process steps and / or resources. For example, an inspection process of a vehicle at a first location at a first time and a maintenance process initiated by the inspection process at a second location may occur at a second time, wherein the vehicle is advantageously timed at the first time at the first location and at the second time at the second Location is located. Furthermore, one for the
  • the method may include providing a communication interface over which optimization can be manually manipulated.
  • a transportation system such as a railway network
  • an autopilot it is conceivable, in particular, to completely automate the entire operation, inspection, storage and / or maintenance process for a transportation system, such as a railway network, as it were an "autopilot.”
  • a human control instance as a "pilot" provided, due to its experience, the knowledge of superior goals and plausibility considerations in the diagnosis determined by an algorithm (for example, nonsensical diagnoses exclude) maintenance task (for example, replacement of a defective unit instead of repair for cost reasons, because spare parts are not included in the storage system but can be easily and quickly ordered on the open market) and / or prioritization (for example, it is less important to have a non-functional appliance such as a functioning coffee machine on a train if the maintenance-related delay of the overall timetable on the rail network would be permanently disturbed ) can intervene.
  • an algorithm for example, nonsensical diagnoses exclude
  • maintenance task for
  • Optimizing can include multiple iterations. In further iterations, already found knowledge can be used ("integrated into the process") to obtain additional or more accurate results in a new run .
  • the integration of new knowledge can take place in particular in the form of adaptation of parameters, in particular in the course of further iterations of variable input parameters.
  • a parameter may be, for example, the availability of a spare part or the resulting delay of a connecting train or over or under capacity in an operating workshop Optimizing may consider constraints on a number of process parameters and / or resource parameters the transport system and / or compliance.
  • the method may comprise predicting actual data dependent on a deviation of actual data from war data and / or target data, the data in particular comprising parameter values and / or raw data, particularly preferred cost parameter values, in particular the total costs.
  • historical data is referred to as "war data”, current data as “actual data” and future data as “will data”.
  • Forecasting is preferably the cost of intervention in the
  • a complex system such as a rail network would not be possible.
  • the operator of a train fleet receives immediate feedback, which additional costs, for example, of the workshops is to be expected if a particular train is to be treated during maintenance preferred to comply with the timetable.
  • a workshop also receives the feedback as to which follow-up costs would result from a non-early repair of a train due to the delay or the failure of connecting trains.
  • a workshop manager may decide to initiate a special shift to manually repair the train despite high labor costs.
  • Contractual provisions in particular contractual penalties or payments based on passenger rights (and their statistical use) may also be included in such a cost estimate.
  • the method may include comparing forecast results to real data that results after forecasting in the transportation system.
  • Studies can be provided, the results of which can be compared with the automated results. Due to such a comparison, the parameters of the automated method can be adjusted to bring the results of the automated method at least partial results of regular investigations in line.
  • the method may include a virtual mirror system of the transportation system for simulating effects of changes in process parameters and / or resource parameters.
  • a virtual mirror system of the actual system for example of a railroad network
  • Changes in the parameters and their favorable or unfavorable effects on the overall system can be simulated, tested and predicted.
  • it may be provided to classify changes to the overall system and to carry out a simulation of the consequences on the overall system for each change from certain classes. This is particularly advantageous for highly complex and highly safety-relevant systems such as railway networks. It is also conceivable, the classification of
  • the method may include providing a number of communication interfaces to parties involved in the transportation system to control and / or monitor the method.
  • the parties comprise at least a number of each
  • Vehicle operators Traffic route operators and / or maintenance facility operators.
  • a traffic route operator In particular, a traffic route operator and a maintenance facility operators.
  • the procedure may suggest a
  • Cost distribution to the parties in case of change of resource parameters and / or process parameters by a party Cost distribution to the parties in case of change of resource parameters and / or process parameters by a party.
  • One problem with an intervention in a complex system by one party is that the intervention can also cost other parties and intervene in their interests and competences.
  • it is therefore provided to define areas of competence for interventions by a specific party on specific parameters or goals. These areas of competence may relate, for example, to a changeable parameter range or to the cost ensuing therefrom for the party or another party.
  • a veto system can be implemented, in which another party can contradict the intervention of a first party when a defined budget is exceeded.
  • the algorithm can also determine a benefit for another party through the intervention of a first party.
  • the algorithm may propose a cost distribution and, in particular, after an optional release step, initiate resource scheduling on this basis. In doing so, the costs underlying the algorithmic optimization of the railway network and the actual cost which the parties involved have to bear economically, even in hindsight fall apart. Due to this technical implementation, the resources of, for example, a rail network can be arranged quickly and smoothly in terms of the overall system, because the balance of particular interests can be downstream.
  • an operator of a train fleet will be charged for the repair costs for the urgent maintenance of a particular train and the opportunity costs for its breakdown.
  • an operator of a maintenance facility is shown that he can better utilize his maintenance resources through the unscheduled and urgent repair.
  • An exemplary optimization result is that a probably necessary repair on a train could be carried out at a first operating workshop with a more favorable total cost due to the current utilization than in a second company workshop, taking into account the logistics costs.
  • the method according to the invention objectifies, speeds up and, moreover, provides greater planning security between the different parties involved.
  • the invention provides that each party has a "pilot" with manual intervention rights in automated optimization.
  • a pilot can be an individual or a group of people, thus efficiently and securely applying a multi-user principle for security-related or cost-related decisions
  • the parameterization, the correlation, the calculation and / or an optimization according to the invention can be carried out by at least one nonlinear, preferably learning algorithm, more preferably by an artificial intelligence.
  • the steps mentioned can be carried out efficiently and reliably.
  • editing with linear algorithms or even by hand is included Complex transport systems only with considerable time and cost or not possible.
  • Exemplary adaptive algorithms which are suitable for the method according to the invention are Monte Carlo algorithms, traveling salesman algorithms, neural networks or evolutionary algorithms. Particularly for the problem of image processing, learning algorithms can also be used according to the invention. exemplary
  • Exemplary artificial intelligence is the IBM Watson program, particularly in the IBM Watson Analytics or IBM Watson Analytics Expert Storybook designs.
  • the transportation system may include a railroad system, where the vehicles may include a number of trains, the railways a number of railways, and the maintenance agents a number of garages.
  • the method is particularly well suited for a railroad system, as it can also be applied to complex systems with many safety-related parameters, such as a railroad system, with high efficiency and reliability.
  • the efficiency of the method depends on the appropriate choice of parameters and especially input parameters. These parameters must be identified and weighted for each technical and economic system. By suitable preselection of the parameters to be considered, not only can an automatic optimization result be improved, but also the expenditure of hardware and computing power for its determination can be reduced. The same applies to the optimization goals.
  • o Traction units in particular depending on the type, capacity, performance and maintenance condition (eg condition of the toilets and their equipment with consumables)
  • An exemplary method according to the invention is implemented between a diagnostic system, a storage system and a repair system. Between the systems flows of goods and information flows are exchanged.
  • the method may include the following steps:
  • Disposal system of the storage system
  • the inspection processes may comprise an automated inspection process for vehicles and / or traffic routes with at least one inspection system comprised by the inspection means, the inspection process comprising at least one of the following steps:
  • Deviations between the actual data and war data and / or desired data f) storing the diagnosis in a database, in particular a "medical record", preferably assigned to the vehicle and / or traffic route on which the raw data were acquired,
  • the inspection process and / or the inspection system may be designed according to the international patent application entitled "Inspection Procedure, Data Processing System and Inspection System for Inspecting a Vehicle in Operation", filed with the same filing date by the same applicants as the present application, in particular according to Sections 3.1 (Inspection procedure) and 3.2 (inspection system and data processing system), which are incorporated herein by reference
  • all data that exist about a moving object, in particular a vehicle can be stored in a preferably digital and cloud-based data network as a digital record as a "medical record.”
  • metadata are preferably generated from the inspection data and stored therein
  • metadata may be data derived from inspection data, and metadata may relate only to a portion of the inspection data that is relevant to the inspection purposes, for example, the metadata may include weighting (eg, on a scale of 0-1) that is relevant encode a parameter for inspection purposes.
  • Metadata may also include "diagnoses" or predictions, such as a probability that a pantograph will fail within a given time period, and metadata may include action instructions, such as repairing or exchanging a particular pantograph at a particular time interval.
  • the data network can extract and / or statistically evaluate higher-level metadata algorithmically from medical records of various moving objects.
  • higher-level metadata may include, for example, in which maintenance A typical pantograph may stop, the train should be reversed, serviced or replaced on certain routes.
  • Parent metadata may also include a set of weighting factors of parameters containing the information as to which parameters must be considered in which weights to achieve an inspection purpose with particularly low hardware and software resources.
  • the medical record comprises a train identification.
  • the train identification can be transmitted, for example via a data transmission device, such as a transponder or an example SOFI antenna to an ICE train from the train to a data network and / or an inspection system. It is also conceivable to read the train identification by an optical image recognition method from a feature of a train, such as the train number on the side or for a train model characteristic design features of the outer shell or previous damage.
  • a number of auxiliary measurements can be taken and evaluated by measuring equipment.
  • a measuring apparatus may be a number of photoelectric transducers for measuring characteristics of the exterior shape of a train.
  • a simple photoelectric sensor can determine whether a train or a wagon of a train, such as a dining car, exceeds a certain height.
  • the height of a turn can significantly limit the possible draw type.
  • a measurement of the external shape of a train is also independent of the pollution or the technical function of the train, unlike markings such as a train number on the train that can not be read or not error-free due to contamination or malfunction.
  • markings such as a train number on the train that can not be read or not error-free due to contamination or malfunction.
  • the collection of actually redundant auxiliary measurements is recommended in order to make plausibility of the results of the automated inspection.
  • a horizontally arranged light barrier can be the number of wagons and the length of the wagons of a train raise what with simple means conclusions on the Switzerlandtypus, its Wagenreihung and / or its orientation with regard to the direction of travel permits.
  • the train actively communicates with an inspection system.
  • the train can actively communicate its identity and other information concerning, for example, its previously determined inspection results. This can be done wirelessly, for example.
  • Exemplary wireless communication technologies are WLAN, radio, RFID, light signals and / or acoustic signals, such as a Morse code.
  • a "medical record" with communicative connection to a central system for data processing enables, for example, automated and supraregional maintenance and inspection of a train, in particular in the sense of predictive maintenance and / or temporal and / or spatial decoupling of resources and services
  • inspection data can be collected from an inspection system at the Radio Obernch by an inspection system, which can then be processed to compare with a central database of empirical values collected in metadata, for example, a coffee machine, or A 60% probability of air conditioning will be broken within the next week, so maintaining the exact type of defective air conditioning in every factory workshop would require expensive inventory.
  • the inspection method may in particular be applied to a vehicle and / or a traffic route in an operating state and preferably without interfering with the vehicle and / or the traffic route.
  • the inspection method according to the invention makes it possible to inspect a vehicle and / or a traffic route during operation with regard to technical functional states and in particular without human intervention, ie automatically, without the vehicle and / or the traffic route having to be temporarily removed from the operating state. This has the effect of increasing the useful lives of the vehicle and / or the traffic route, reducing the service life and reducing personnel deployment, with the advantage that inspection costs can be reduced.
  • the versatility of the inspection process beyond the known possibilities is improved or even completely new uses for vehicle inspection and / or traffic route inspection are created.
  • an inspection in the operating state that is in particular in motion, under
  • a method as presented here has the advantage of being more time-efficient and therefore more cost-effective in terms of coordination through communicative networking of different inspection systems, location and maintenance resources at different locations, inspection, logistics and maintenance.
  • the method becomes more efficient by means of statistical data evaluation, in that learning algorithms preferably document empirical values in as compact a metadata as possible with regard to the data volume.
  • this metadata can be called
  • Weighting factors for inspection parameters for example: missing screw is a must for immediate maintenance
  • selection factors for an inspection purpose relevant inspection measurements for example: for the three-dimensional inspection of a
  • Pantographs of a train extend one or two optical cameras, possibly with a specific illumination and acquisition sequence).
  • a data processing system according to the invention is for carrying out a
  • the data processing system comprises at least one server system and a number of clients, the server system comprising a number of client interfaces for the communicative connection of the clients to the server system.
  • the clients may each include at least a number of inspection systems, vehicles, maintenance facilities, and transportation routes.
  • advantageously relevant resources of the transport system can be networked with the server system, so that, for example, amounts of data for performing the method of the resources can be transmitted to the server system to process them there.
  • the data processing system is preferably designed to carry out inspection processes without communicative connection between the inspection systems and the vehicles and / or traffic routes. This is made possible, for example, by an inspection system comprising a sensor arrangement for non-invasive, for example optical, inspection of a vehicle and / or a traffic route.
  • Carrying out inspection processes without communicative connection between the inspection systems and the vehicles and / or traffic routes are interfering with the vehicles and / or traffic routes, for example in on-board electronics or a
  • a part of the client interfaces can be designed only for unidirectional communication.
  • the unidirectional design may be hardware-side, in particular static, and / or software-side,
  • an interface between the server system and a vehicle for transmitting data exclusively from the vehicle to the server system may be designed so that the
  • Server system data of the vehicle for example, its position and / or
  • the data processing system may comprise at least one data interface for the communicative connection of the server system to an external data processing system.
  • the data interface allows data processing processes, for example at peak workloads, to be outsourced to the external data processing system. This makes the data processing system less powerful and thus
  • the data processing system is designed to predict computing load peak times in advance, so that, in particular automatically, computing power can be booked in good time in the external data processing system.
  • the data interface comprises a control means, for example similar to a firewall, to control that no confidential data is output to the external data processing system.
  • the data processing system may include a communication interface for controlling and / or monitoring the process by parties involved in the transportation system. In particular, if the method detects problems, the communication interface for issuing alerts may be designed for at least one of the parties.
  • the alerts may include, for example, emails, instant messages, and / or telephone alerts.
  • Figure 1 is a schematic representation of a method according to the invention for controlling a railway network
  • Figure 2 is a schematic representation of a target-actual comparison of a number of operating workshops.
  • FIG. 1 shows a schematic representation of a method according to the invention for controlling a railway network.
  • Railway network parties 100 include a train station, a fleet of trains and a rail network for trains. Each participating party 100 may choose to select 210 resource and / or process variables that are relevant to them. and carry out a weighting 220 depending on the importance of the individual parameter.
  • an algorithm 10 in particular an adaptive algorithm such as a neural network, optimizes 230 for a most cost-effective solution of the optimization problem in a high-dimensional phase space
  • Each participating party 100 may indirectly engage in the optimization result.
  • Each participating party 100 has at least one pilot
  • punctual punctuality is particularly important to the pilot 2 of the fleet ig, he can increase the corresponding weighting factor to achieve a new optimization result, in which the punctual punctuality is better or even fully taken into account.
  • Any change in a weighting factor is associated with feedback about the predicted cost of ownership for the changing pilot. In this way, an efficient platform or virtual marketplace is created, which efficiently uses the resources of a railway network and at the same time allows a dynamic balance of interests between the parties involved.
  • FIG. 2 shows a schematic representation of a method according to the invention for controlling a railway network.
  • a number of resources 120 are shown in the form of company workshops (plant 1 to plant n).
  • factory 1 for example, an acquisition 240 of actual raw inspection data takes place by an inspection system on a moving train. From the actual raw inspection data, a generation 250 of extracted raw data is carried out, in particular by image-recognizing pattern recognition methods, in accordance with the objective and the criteria of the inspection to be performed. Subsequently, the extracted raw data to a server system 130, in particular a central server (cloud), transmitted (continuous arrow).
  • a server system 130 in particular a central server (cloud), transmitted (continuous arrow).
  • a production 250 of actual metadata can also take place from the extracted data in the factory 1, the actual metadata subsequently being transmitted to the server system 130, in particular a central server (cloud) (continuous arrow).
  • a comparison 260 in particular as a target / actual comparison, for example, between the transmitted actual metadata and target metadata from a database 140 of the central server (cloud) is performed.
  • the result of this target-actual comparison leads to the creation of a diagnosis 270 about the state of the train and, if necessary, a handling instruction for its maintenance.
  • This result is summarized in a log and, for example, the plant n where the train is to be maintained, transmitted for further action (continuous arrow).
  • the log is incorporated into database 240 of the central server by a store 280 (dashed arrow) to enhance future inspection and maintenance steps based on the result and experience of the aforementioned process. 6 list of reference numerals

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Traffic Control Systems (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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Abstract

L'invention concerne un procédé permettant d'assurer la commande d'un système de moyens de transport comportant un certain nombre de processus et un certain nombre de ressources (120) requises par les processus. Lesdites ressources (120) sont caractérisées dans chaque cas par un certain nombre d'attributs de ressources et les processus sont caractérisés dans chaque cas par un certain nombre d'attributs de processus, lesquels comprennent les ressources requises par chaque processus. Les ressources (120) comprennent au moins un certain nombre de véhicules, un certain nombre de voies de circulation pour les véhicules, des moyens en personnel pour faire fonctionner, inspecter et/ou assurer la maintenance des véhicules et/ou des voies de circulation et un certain nombre de moyens d'inspection et de moyens de maintenance pour les véhicules et/ou les voies de circulation. Les procédés comprennent au moins un certain nombre de processus de fonctionnement, de processus d'inspection et de processus de maintenance des véhicules et/ou des moyens de circulation. Ledit procédé comprend au moins les étapes suivantes : e. collecter des attributs de ressources et/ou des attributs de processus, f. paramétrer des attributs de ressources en paramètres de ressources et des attributs de processus en paramètres de processus, les paramètres de processus de chaque processus et les paramètres de ressources de chaque ressource (120) comprenant au moins un paramètre de coûts, g. corréler des paramètres de processus et des paramètres de ressources et h. calculer les coûts globaux des processus sur la base de leurs paramètres de coûts. L'invention concerne en outre un système de traitement de données permettant de mettre en oeuvre ledit procédé.
PCT/EP2017/078969 2016-11-10 2017-11-10 Procédé de commande d'un système de moyens de transport, système de traitement de données WO2018087343A1 (fr)

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PCT/EP2017/078969 WO2018087343A1 (fr) 2016-11-10 2017-11-10 Procédé de commande d'un système de moyens de transport, système de traitement de données
PCT/EP2017/078967 WO2018087341A1 (fr) 2016-11-10 2017-11-10 Procédé d'inspection, système de traitement de données et système d'inspection servant à inspecter un véhicule à l'état de fonctionnement
PCT/EP2017/078963 WO2018087337A1 (fr) 2016-11-10 2017-11-10 Module et système d'inspection pour inspecter des objets se déplaçant
PCT/EP2017/078966 WO2018087340A2 (fr) 2016-11-10 2017-11-10 Procédé de contrôle, système de contrôle ainsi que système et procédé de commande d'un moyen de transport

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PCT/EP2017/078963 WO2018087337A1 (fr) 2016-11-10 2017-11-10 Module et système d'inspection pour inspecter des objets se déplaçant
PCT/EP2017/078966 WO2018087340A2 (fr) 2016-11-10 2017-11-10 Procédé de contrôle, système de contrôle ainsi que système et procédé de commande d'un moyen de transport

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WO2018087337A1 (fr) 2018-05-17
WO2018087338A3 (fr) 2018-08-09
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