EP1466309B1 - Verfahren zur versorgung eines programmgestützten informationssystems mit gezielten ortsinformationen - Google Patents

Verfahren zur versorgung eines programmgestützten informationssystems mit gezielten ortsinformationen Download PDF

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Publication number
EP1466309B1
EP1466309B1 EP03702448A EP03702448A EP1466309B1 EP 1466309 B1 EP1466309 B1 EP 1466309B1 EP 03702448 A EP03702448 A EP 03702448A EP 03702448 A EP03702448 A EP 03702448A EP 1466309 B1 EP1466309 B1 EP 1466309B1
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EP
European Patent Office
Prior art keywords
location
information
locations
sensor
specific
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EP03702448A
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German (de)
English (en)
French (fr)
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EP1466309A2 (de
Inventor
Sandra Haseloff
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Fraunhofer Gesellschaft zur Forderung der Angewandten Forschung eV
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Fraunhofer Gesellschaft zur Forderung der Angewandten Forschung eV
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled

Definitions

  • the invention relates to a method for supplying a program-based information system with targeted location information, in which at least one selection of specific location information is provided by the information system as a function of a sensory, personal or object-specific location.
  • Such methods are based on program models for handling location information in computer programs that provide information to their users depending on their current or future location. In these computer programs, users get exactly the information they need at the time and place they need it.
  • the dimension "location” thus has an essential aspect by which the information supply of users in such computer programs is optimized. It plays a significant role in several ways. For example, users' need for specific information depends, for example, on the whereabouts of the users themselves. Thus, certain information is required only in certain locations. Furthermore, the information itself, which can potentially be made available to a user, in some cases have a location reference, ie they are relevant only for specific locations or have in certain places a higher information content for the users. Even the communication media, the Such computer programs use to provide the desired information to a user, depending on the whereabouts of the user.
  • Such computer programs must therefore be able to process location information both in connection with the information needs of users, with the information itself, with communication media, and ultimately with the current and future locations of users and other relevant objects.
  • This requires the use of sensor systems that can locate people and objects. These sensors provide location information that must also be presentable and processable.
  • the object is to provide a method for supplying a program-supported information system with targeted location information, in which at least one selection of specific location information is provided by the information system as a function of a sensory, personal or object-specific location in that the method is independent of the type or dimension of the sensor signals for locating the respective person or the respective person Object is usable.
  • a computer-assisted management structure for locations is to be specified, which permits a simple and arbitrarily adaptable adaptation to known location systems.
  • it is a localized person or a corresponding object site-specific information targeted and selected to send.
  • a method for supplying a program-supported information system with targeted location information in which at least one selection of specific location information is provided by the information system as a function of a sensor-detectable, person or object-specific location, consists of the following method steps:
  • a location where, for example, a person is currently located is detected by sensors.
  • the location data sensory detected in this way are then converted into a location representation, which are associated with a reference system within which the location data can be spatially assigned, as well as with a hierarchical structure.
  • the locational forms associated with a corresponding reference system and the hierarchy associated with the respective reference system are further summarized in a set of locations and / or in the form of location vectors in which the locales of at least two locations are linked together in a predetermined order.
  • the Ortsmengen- or location vector formation or in combination are following the following location and / or location vector relations between the places and people or
  • Objects are formed within so-called Positional Locations, to finally by applying operations in case of coincidence between locations, i. between the location data obtained by location sensors and locations stored in information needs, to enable generation or provision of location-dependent personal or object-specific information.
  • the location data acquired by sensors are converted into local representation forms by means of so-called sensor adapters, which represent special parts of a computer program, for example in the form of coordinate values of a reference system.
  • the location data transformed in such a spatial presentation form is grouped into place sets or place vectors which can be regarded as basic representation forms of places.
  • Spaces are collections of unsorted locations, which can consist of one or more elements. Spaces with exactly one element represent so-called atomic places, while places with more than one element contain compound places or place enumerations.
  • the individual locations or location data within such a location are linked together via Boolean operators.
  • Location vectors contain locations in a fixed order at their nodes; They allow, for example, the mapping of routes.
  • the edges within location vectors give information about the link between the location nodes that link them. They can also be a place set or a place vector.
  • a tree structure is provided, which makes it possible to arrange places hierarchically and thus to map complex location structures and so-called containment relationships, i. It is possible to check if, for example, a room x is located in the floor y within a house z.
  • places themselves are not subdivided into different classes or into different reference systems, such as For example, a purely geographical (length / width) or purely symbolic (place name, street name, etc.) reference system. Rather, the location model or the method associates by means of the sensor adapters each location with a reference system to which this location belongs. In these reference systems, the characteristics of the locations belonging to the system, including their dimensions, permissible ranges of values, relations of the dimensions with each other and dimensions of other reference systems are stored.
  • the method also provides transformation rules that can operate on the reference systems and interleave locations of different reference systems.
  • transformation rules that can operate on the reference systems and interleave locations of different reference systems. The examination of locations for containment, equality, or space is thus made possible both for locations based on the same reference system by means of this reference system and for locations with different reference systems based on the transformation rules.
  • the location model or method further defines a relationship of persons and objects to places via the modeling of so-called prepositions.
  • Prepositions can be assigned to the locations of a place set or a place vector. They are also expandable by distance. Distances typically consist of a unit of measure, which may be a metric, temporal, or local unit, a unit of measure, and an operator. Also, distances at other locations of the location model, especially in the reference systems, are used. It is thus possible to determine distances between places and persons or objects as well as between individual places.
  • the method can map the accuracy and the probability of location information. This is particularly relevant to the integration of various location sensors, which often provide location data with a blur in terms of their granularity and the coincidence of actual location with location. It is also possible to supplement reference systems, permissible prepositions, distance specifications and value ranges dynamically, if required by a user program.
  • the method further provides the possibility of uniformly managing information regarding locations with regard to location sensors, location and / or person-specific information needs, communication channels and information even in computer programs.
  • computer programs are enabled to extend the prevailing trend towards personalization and individualization of the services and information provided to the local dimension as well.
  • users of computer programs only receive the information that they really need and that are relevant to them at their place of residence.
  • the functionality provided by the method represents a significant added value for users compared to today's computer programs and provides their providers with significant competitive advantages. These are reinforced by the fact that the present method and model is dynamically expandable and can be used in a wide variety of application areas. Thus, it is possible to integrate the inventive method with little time and cost in computer programs.
  • the model according to the invention can also be used particularly advantageously in innovative applications of the so-called "intelligent Internet".
  • the prevailing flood of information can be contained by a targeted supply of information that is also prepared and provided depending on the location. Since this type of applications is characterized by a strong distribution of the data processing stations, the present method is particularly well suited to its generation and expandability to provide a unified platform for applications of intelligent Internet.
  • the method according to the invention is already successful in a model experiment in a platform for providing personalized traffic information been used. For example, users registered on this platform will be notified, depending on the current traffic situation, at a time when they are planning a car journey to reach a given destination at a given time. Here, buffer times between notification and departure time as well as preferred routes of the user are taken into account. It is also important for the user to be provided with up-to-date information about the traffic situation on the route during the journey to his destination, possible traffic jams and alternative routes depending on the current position of the users. In this example, there is a location-dependent need for information stating that a user wants to receive up-to-date congestion information for their route and destination when they are on the highway.
  • the user In this information requirement is therefore a location in the form "on the highway" ent-hold.
  • the user In order to meet the demand, the user is located after departure via sensor systems. These systems provide the current location of the user in the form of Gauss-Krüger geo-coordinates.
  • the traffic information itself is provided with location information in the form of motorway codes in connection with abbreviations for junctions and motorway junctions.
  • the location model is responsible for the mapping, administration and transformation of these locations in their different formats.
  • the location details of the motorway, Gauss-Krüger coordinates and motorway or connection point / motorway abbreviations are mapped in local objects, each of which refers to a semantic reference system for transport lines or for geo-coordinates.
  • the preferred driving routes of the users are depicted as position vectors, on the edges of which the means of locomotion is indicated. Transformation algorithms are used to determine if the coordinates provided by a locate operation match the location specification of the information needs. Furthermore, if so, these coordinates are converted to the location format present in the traffic information.
  • FIG. 1 shows a typical flowchart of the method, which shows the structure as well as the relationships of the previously explained elements of sets, position vectors, prepositions, etc.
  • Plotted are first sets of locations OM containing locations and / or location vectors, as well as location vectors OV, which consist of at least two sensory detected locations.
  • a structure S is associated with the places O themselves.
  • This structure S forms so-called containment relationships between the individual locations O.
  • the structure S has nodes K and leaves B, which form a tree, which enables a hierarchical arrangement of locations.
  • the location "space 1.29" corresponding to a leaf is included in the "building of firm X" corresponding to a node contained in the place "Dortmund” corresponding to the node.
  • the method allows the mapping of prepositions P, ie relationships between persons or objects and locations such as "in”, “20 km before”, “outside of”.
  • the model contains a Positioned Location PO.
  • location relations OR included; furthermore, vector relations VR can be contained in it.
  • Local and vector relations correspond to the above-described local quantities OM and position vectors OV, but extend them by the required prepositions P.
  • a local relation OR contains a location O as well as a preposition P which refers to this location O, eg "20 km in the vicinity from Kunststoff”.
  • a vector relation VR similarly contains a position vector OV and an associated preposition P, eg "on the route to work”.
  • the Relation R class ensures that OR and vector relations VR are of the same type and allows the inheritance of OP operations on location and vector relations. It is associated with the prepositions P described.
  • the prepositions P in turn may have a distance specification D, which consist of a quantity, for example "20 km in the Kunststoff area", a unit of measure, for example "km” and an operator, for example "in the vicinity of”.
  • FIG. 2 illustrates the assignment of locations O to reference systems RS.
  • Each location O is described by a set of coordinates KO.
  • These coordinates KO uniquely determine the location of the location O within a reference system RS.
  • Coordinates KO are understood to mean not only physical coordinates, such as longitude and latitude, for example, provided by GPS systems. Rather, the coordinates of a place are values of any type that refer to a dimension. Examples are the dimension room number with the value 1.29 or the dimension "city name" with the value Munich. Thus, there are a number of alternative reference systems in which coordinates define the location of a place, such as bpsw. Geographic RS, Building RS, Item RS or UTM-RS.
  • the location accuracy with which different sensor systems work for location detection is likewise taken into account in the method in that an accuracy G specific to the respective sensor system is associated with the values W of the sensory coordinates.
  • the individual values W of the coordinates have, for example, those of the dimensions D "longitude and latitude" and the accuracy for a location is about 10 m.
  • coordinates KO refer to exactly one reference system RS, which is predetermined by the sensor system.
  • This reference system RS prescribes which properties the associated coordinates KO must satisfy. This is done by specifying the dimensions D, to which the values W of the coordinates KO refer, and at the same time define the valid value ranges.
  • the reference system RS determines which attributes contain locations. Since each reference system has an origin, this origin assigns a hierarchically superior location or a higher-level system boundary to each location. If it makes sense, relationships between the locations of this reference system are stored in the reference systems RS. For rooms, this may be, for example, a plan of the spaces imaged by the reference system, in which the arrangement of the rooms is shown.
  • the reference systems RS contain transformation instructions for the transfer of locations which relate to one reference system, to locations with a different reference system and thus to other coordinates.
  • the reference systems are also linked to sensor adapters. These are special parts of a computer program that receive location data from sensors (GPS receivers, transponder systems, electronic diaries, user inputs, etc.) and convert them into coordinate values of a reference system.
  • sensors GPS receivers, transponder systems, electronic diaries, user inputs, etc.
  • the method is of particular importance if the information needs of users depend on their current or predicted whereabouts. This is the case, on the one hand, when an information need occurs only in certain places or when the information itself, which is relevant to a user, is defined by the location of the user.
  • the method according to the invention serves to map current and future locations of users and objects. Furthermore, the method also maps location information in connection with the information needs of users, for example. "Message when Mrs. X. enters the building" or "Notification of traffic jams on my route”.
  • An important task of the computer programs which use the method according to the invention is also to check whether a current or predicted location with location conditions is congruent with the information requirement of a user. For this purpose, data is acquired by sensors. This is done by the above-mentioned sensor adapters.
  • the sensors can be of different types. They can be broadly classified into genuine location systems and derived location systems. Genuine location systems are sensors designed for the purpose of location, such as GPS, transponder or infrared systems. Derived location systems are systems that originally serve purposes other than location, but can also be used to determine the location of people and things. These include systems for working time recording, electronic appointment calendars, occupancy plans, explicit user input etc.
  • the determined data which are obtained by the location systems, are converted into locations corresponding to the structure of the locations in the locations and position vectors.
  • the adapters depend on the type of sensor and its use (location of installation, purpose of the sensor) Computer program), which reference systems are suitable for mapping the sensor data used. They convert the data thus obtained into coordinate values of the corresponding reference system. If the sensor data are directly available as coordinates of a reference system (for example, GPS coordinates or symbolic locations), then an image can be directly taken on a location.
  • the places thus formed are - if appropriate - grouped into place vectors and local sets.
  • the structure of the locations i. hierarchically superordinate and subordinate places, formed.
  • the acquired sensor data is further transformed into the model according to the model using the properties of the sensors - such as accuracy - and the properties of the reference systems, and grouped by means of location or vector relations into Positioned Locations.
  • the object's reference system provides chair at 3.5 meters horizontally and 4 meters vertically. From this derivation of the place chair with distance 50 cm.
  • the location data obtained by sensors or specified in the information requirements are mapped according to the method according to the invention, operations can take place on the location information.
  • These operations allow a computer program to determine what information is for a computer program Users are relevant depending on their location.
  • the locations in the information needs are primarily to be compared with the locations determined by sensors.
  • the model includes operations such as isln (), equals (), howFarFrom (), etc. These operations performed on locations allow to determine if locations are the same, if one is contained in another, or how far Places are distant from each other.
  • transformation rules are used when the locations refer to different reference systems.
  • a suitable transformation rule is determined in order to convert the locations into a uniform reference system.
  • a uniform representation in the form of physical coordinates or by transferring the coordinates of a location into coordinates which belong to the reference system of the other location, by means of stored image data, for example.
  • "Building XY” corresponds to "Musterstr. 10, 12345 Muster- hausen, BRD "or - regulations, eg algorithms for the conversion of GPS data according to the UTM system to GPS data according to the WGS84 system.
  • the method provides a probability indication that maps such overlaps.
  • the distance between locations is converted into metric or temporal distances on the basis of physical coordinates or properties of the respective reference system (eg position and dimension of rooms in a building). Temporal distances refer to a certain speed of travel.
  • the illustrated method location information that has been detected by sensors, with locations with information needs of users that either explicitly communicated by the users of the computer program or by implicitly determined.
  • the result of such a comparison enables the computer program to determine whether a user who is in a particular location has a need for information and, if so, which information is relevant to the user taking into account his or her whereabouts.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Navigation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Traffic Control Systems (AREA)
  • Image Generation (AREA)
EP03702448A 2002-01-18 2003-01-15 Verfahren zur versorgung eines programmgestützten informationssystems mit gezielten ortsinformationen Expired - Lifetime EP1466309B1 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE10201859 2002-01-18
DE10201859A DE10201859B4 (de) 2002-01-18 2002-01-18 Verfahren zur Versorgung eines programmgestützten Informationssystems mit gezielten Ortsinformationen
PCT/EP2003/000362 WO2003060853A2 (de) 2002-01-18 2003-01-15 Verfahren zur versorgung eines programmgestützten informationssystems mit gezielten ortsinformationen

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EP1466309A2 EP1466309A2 (de) 2004-10-13
EP1466309B1 true EP1466309B1 (de) 2007-03-07

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US (1) US7392131B2 (xx)
EP (1) EP1466309B1 (xx)
CN (1) CN100429653C (xx)
AT (1) ATE356395T1 (xx)
DE (1) DE10201859B4 (xx)
HK (1) HK1079308A1 (xx)
WO (1) WO2003060853A2 (xx)

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Publication number Publication date
DE10201859B4 (de) 2004-01-29
WO2003060853A2 (de) 2003-07-24
US20050065714A1 (en) 2005-03-24
CN100429653C (zh) 2008-10-29
DE10201859A1 (de) 2003-07-31
ATE356395T1 (de) 2007-03-15
WO2003060853A3 (de) 2004-05-06
EP1466309A2 (de) 2004-10-13
HK1079308A1 (en) 2006-03-31
CN1643519A (zh) 2005-07-20
US7392131B2 (en) 2008-06-24

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