EP3526743A1 - Verfahren zum erfassen eines arbeitsdatensatzes und datenerfassungsvorrichtung - Google Patents
Verfahren zum erfassen eines arbeitsdatensatzes und datenerfassungsvorrichtungInfo
- Publication number
- EP3526743A1 EP3526743A1 EP17780626.2A EP17780626A EP3526743A1 EP 3526743 A1 EP3526743 A1 EP 3526743A1 EP 17780626 A EP17780626 A EP 17780626A EP 3526743 A1 EP3526743 A1 EP 3526743A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- interaction
- person
- change
- data
- data record
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Definitions
- the invention relates to a method for detecting at least one, at least one work action of a person characterizing work record.
- a second aspect of the invention relates to a data acquisition device for detecting at least one working data record that characterizes at least one work activity of a person.
- Such work action may be, for example, a production operation in motor vehicle construction, for example in a vehicle assembly.
- a method for factory planning using a device for modeling human motion sequences is known.
- a real human movement sequence is first carried out and subsequently an image of the real human movement sequence is generated as a motion simulation model.
- Ergonomic analyzes for example with regard to a posture during the course of the movement, can be carried out on the basis of the movement simulation model.
- the document DE 10 2012 024 212 A1 describes a method for the automated analysis of a production process for a motor vehicle.
- an image sequence from a temporal sequence of spatial coordinates of a subject is determined and transferred to a mathematical model of the subject.
- characteristic values can be determined for the subject, from which in turn activity blocks or activity building block properties can be derived.
- NEN include, for example, a gripping or letting go of an object.
- Object of the present invention is to provide a method and a data acquisition device of the type mentioned, by means of which a particularly low-cost detection of a, a work action of a person characterizing work record is possible.
- the inventive method is used for detecting at least one, at least one work action of a person characterizing working record.
- the work record may be an ergonomics rating record, and thus a record that may include both a person's stress history during the work action and a duration of the work action.
- the work action may be a production operation in the motor vehicle industry and, for example, an assembly action of the person.
- the method according to the invention comprises at least the following steps: a) detecting at least one motion data record which characterizes a movement sequence of the person; b) detecting a first interaction change of the person characterizing the work action as it interacts with an object during step a); and c) detecting at least one movement data component of the movement data record at least as part of the work data record as a function of the first interaction change of the person during their interaction with the object.
- an inventive The data acquisition device which is carried by the person during the work action, that is, for example, worn on the body.
- the method can be carried out in a narrow space and thus particularly space-saving, for example, can be dispensed with a radio transmission.
- a so-called motion-capture system with one or more motion sensors can be used.
- an "interaction change" can characterize a beginning or an end of the person's interaction with the object
- the first interaction change can accordingly characterize the beginning of the interaction between the person and the object
- a change in interaction can generally also be referred to as a so-called crop mark
- interaction can involve gaining control over the object by moving to the object with the necessary body movements, such as walking, bending over, knees, as well as leashing and grasping, for example, in subsequent intermediate interactions, one subsequent transport of the object and one subsequent thereto it should be understood to discard the object, to name but a few examples of the intermediate interactions.
- the object may be, for example, a motor vehicle component, that is to say for example a screw, which can be fastened by the person to a motor vehicle during assembly.
- the movement data component can characterize a movement sequence part of the movement sequence.
- the movement sequence part can be characterized in terms of time with respect to a start of the movement sequence part by the first interaction change and with regard to an expiration end of the movement departure part, for example, by a second change of interaction.
- an exact temporal allocation of the movement sequence part to the interaction of the person with the object carried out during the movement sequence is advantageously possible.
- the following example can serve: A sequence of movements lasts For example, a total of 100 seconds, the person within this time only 20 seconds interacts with the object, so performs the work action.
- the beginning of the process of these 20 seconds and by detecting, for example, a second change in interaction marks the end of this 20 seconds and thereby unambiguously characterizes the movement sequence part and associates it with the interaction with the object.
- Detecting the motion data portion in step c) may include identifying and associating the motion data portion as part of the working data set.
- the motion data portion of the motion data set may be declared as part of the working data set.
- a characterization of the movement data set or of the movement data portion is made possible as a working data record relevant for a possible ergonomic and default time determination.
- the detection in step c) is ended as a function of a second interaction change of the person during their interaction with the object.
- a start of the interaction of the person with the object in general can be characterized by the first interaction change of the person and an end of the interaction of the person with the object by the second interaction change of the person.
- the detection of the at least one movement data component of the movement data record can be started at least as part of the work data record as a function of the first change in interaction of the person during its interaction with the object and in dependence on the user. from the second interaction change of the person when interacting with the object.
- the interaction data record can, for example, characterize a force change course, for example, an arm force of the person in their interaction with the object.
- a workload of the person during the interaction with the object can be determined in a particularly simple manner and thus an ergonomic evaluation can be carried out in a particularly simple manner.
- the interaction data set may include respective first change data or second change data characterizing the first interaction change and the second interaction change. These respective change data may accordingly correspond to an initial value or an end value of the interaction data record.
- the interaction record may also include intermediate interaction data that may characterize an intermediate interaction between the person and the object made between the first interaction change (start) and the second interaction change (end). It is also possible to record several intermediate interactions based on their respective intermediate interaction data in the interaction data record.
- the intermediate interaction like the first interaction change and the second interaction change, may correspond to a cut mark.
- first change of interaction can correspond to gripping the pneumatic screwdriver by a hand of the person Gripping may correspond to a crop mark called "picking up".
- the interaction with the pneumatic screwdriver can finally be ended by the second interaction change, with the second interaction change (which may be referred to as a "make" cut mark) may correspond, for example, to a release of the pneumatic screwdriver.
- the respective interaction changes as well as the intermediate interactions at the same time make it possible, for example, to detect a type of load and additionally or alternatively a load intensity of the person in their interaction with the object.
- the detection of the interaction data record in step d) is terminated in dependence on the second interaction change of the person in their interaction with the object.
- This is advantageous since, by terminating the capture of the interaction data record as a function of the second change in interaction, a particularly exact capture of the interaction data record can take place during the acquisition of the movement data record. This can be prevented in an advantageous manner that unnecessary additional data, which do not serve to describe the interaction of the person with the object, are recorded in the working record.
- the detection of unnecessary additional data can be avoided by terminating the acquisition of the interaction data record on the basis of the second interaction change.
- the interaction data record is assigned to the at least one movement data component of the movement data record.
- the assignment allows a particularly low-cost evaluation of the working data record, for example, in the case of an ergonomic evaluation.
- a process description of a work process is made possible by the work data record, wherein the work data record can include the at least one movement data component of the movement data record and the correspondingly assigned interaction data record.
- the movement data component can thus, for example, describe a movement of the person and, for example, a bending of the back during the interaction of the person with the object, whereas by means of the interaction data set, for example, a force exercise can be described by a hand of the person on the object.
- Assigning the interaction record to the we at least one movement data component of the movement data record can still take place during the detection of the movement sequence of the person according to step a), which results in comparison to methods known from the prior art in which, for example, a mathematical model is first generated from a person's real movement sequence , results in a significant time savings.
- the detection of the at least one motion data portion of the motion data set at least as part of the working data set as a function of the first interaction change and additionally or alternatively the termination of the detection depending on the second interaction change of the person in their interaction with the object only performed after exceeding at least one predetermined threshold.
- the threshold value it can advantageously be ruled out, for example, that even a first, light contact (for example a hand of the person with the object) already leads to the acquisition of the movement data component as part of the work data record, but only if there is an acquisition the threshold has been exceeded (and, for example, a grip of the person on the object has stabilized).
- the threshold value may be, for example, a force threshold value above which the detection takes place.
- a time offset is used as the threshold value.
- a time offset which can also be referred to as a time buffer, on the one hand is particularly easy to specify and on the other hand is particularly resistant to interference. Even by such a time offset can be avoided that the detection of the motion data portion as part of the working record already with an example unintentional, first contact of the person with the object, but only then a detection is performed, for example, a handle of the person on the Object has stabilized.
- a force change in step b) is detected at least as the first interaction change. This is advantageous since such a force change is a particularly meaningful quantity for describing the work action by means of the work record.
- a second aspect of the invention relates to a data acquisition device for detecting at least one work record characterizing a person at least, which is designed to: a) record a movement data record which characterizes a movement sequence of the person by means of at least one motion sensor of the data acquisition device; b) detecting a first interaction change of the person characterizing the work action as it interacts with the object by means of at least one interaction sensor of the data acquisition device during the acquisition of the movement data record; and c) to record at least one movement data component of the movement data record at least as part of the work data record as a function of the first interaction change of the person during their interaction with the object.
- the detection of the at least one movement data component of the movement data record at least as part of the work data record as a function of the first interaction change of the person during their interaction with the object can advantageously take place during the acquisition of the movement data record by means of the at least one motion sensor of the data acquisition apparatus. As a result, it is possible to record the working data record that characterizes the individual's work activity in a particularly time-consuming manner.
- the at least one interaction sensor is designed as a force sensor or as a pulse sensor or as a torque sensor. This is advantageous since such sensors enable a particularly immediate and reliable, in particular ergonomic evaluation of the work action based on the working data record.
- the data acquisition device of the person is portable. This is an advantage because the The method according to the invention can thus be carried out in a locally limited space directly during the execution of the movement sequence and thus during the execution of the work action during the movement sequence of the person without, for example, requiring real-time radio transmission to an external evaluation device.
- FIG. 1 shows an illustration of a person who carries out a work action as part of a vehicle assembly and thereby interacts with an object, wherein the person wears a data acquisition device which is exemplary for the invention
- FIG. 2 shows a flow chart in which exemplary, individual method steps are shown for the invention.
- FIG. 1 shows a person 20 who interacts with an object 22 during a motor vehicle assembly as part of a work action 24.
- the object 22, as in the present embodiment may be formed as a support member, to name just one example.
- the person 20 may carry a data acquisition device 10, to which a plurality of motion sensors 12 and interaction sensors 14 may belong.
- the interaction sensors 14 can in the present case be designed as force sensors. det, by means of which, for example, a force change of the person 20 in their interaction with the object 22 is measurable.
- the data acquisition device 10 also includes a computing device 11, by means of which respective sensor data of the motion sensors 12 and the interaction sensors 14 can be detected.
- FIG. 2 shows individual method steps a) to e), which can be carried out in the context of the method according to the invention on the basis of the data acquisition device 10, subsequent steps S1 to S3 being carried out following step e).
- step a) at least one motion data set 32 characterizing a movement sequence of the person 20 is detected by means of the respective motion sensors 12 of the data acquisition device 10.
- step b) a first interaction change of the person 20 characterizing the work action 24 occurs as it interacts with the person Object 22, wherein step b) is performed during step a).
- the first interaction change of the person 20 is thereby detected by means of the interaction sensors 14 of the data acquisition device 10 during the acquisition of the movement data record 32.
- the first interaction change may, for example, correspond to a force change, for example on a hand of the person 20 when interacting with the object 22.
- step c) capturing at least one motion data portion 33 of the motion data set 32 at least as part of a work record 30 characterizing the work action 24 of the person 20 can be effected as a function of the first interaction change of the person 20 during their interaction with the object 22.
- the detection in step c) can be ended as a function of a second interaction change of the person 20 in their interaction with the object 22.
- the detection of the at least one movement data component 33 of the movement data record 32 at least as part of the work data record 30 as a function of the first interaction change and additionally or alternatively the termination of the detection as a function of the second interaction change of the person 20 in their Interaction with the object 22 can be performed only after exceeding at least one predetermined threshold.
- the threshold value may correspond, for example, to a time offset.
- the detection of the interaction data record 34 in step d) can be ended in response to the second interaction change of the person 20 in their interaction with the object 22.
- the interaction data record 34 can be assigned to the at least one movement data component 33 of the movement data record 32, wherein the interaction data record 34 and at least the movement data component 33 can be assigned to the work data record 30.
- a process of determining magnitude (e.g., force change) in determining the working data set 30 can be significantly accelerated as compared to methods known in the art.
- the movement data component 33 can already be marked, as it were, by the respective interaction changes of the person 20 and can be assigned to the interaction data record 34 in the work data record 30 when the movement data record 32 is acquired.
- the respective interaction changes make possible a so-called "triggering" of the movement data portion 33 as part of the movement data record 32 in the context of the interaction of the person 20 with the object 22.
- first interaction change which may characterize a beginning of the work action 24
- second change of interaction which may characterize an end of the work action 24
- intermediate interactions can also be referred to as so-called "crop marks.”
- crop marks can be set according to the following laws:
- the time offset can be used as a threshold and taken into account to avoid that already a first, easy and possibly even unintentional touching the object 22 already leads to a detection.
- Cut mark "Print application” these cut marks are set when a certain force change AF> 0 is exceeded.
- “Hold” cut mark at this cut mark, a constant load of force or weight may be applied over a certain time without causing any more movement of the person's body 20 or the limbs of the person 20.
- This cut mark may be set prior to movement
- flexion of limbs about a certain angle may be taken into account, for example, flexing a back of person 20 by 50 ° with a higher angle
- Stress of the person 20 is associated with, for example, a bending of the back by, for example, 10.degree ..
- a time influence of the influencing factor classification can also be taken into account can be detected by the motion sensors, for example, such a limb bending by a certain angle and an associated duration of limb diffraction.
- This limb diffraction may be detected as the motion data portion 33 during the interaction of the subject 20 with the object 22 and thereby associated with the interaction record 34.
- the motion data portion 33 may overall describe the general motion or posture of the person 20 during interaction with the object 22, and the interaction record 34 may, for example, describe the force change of the person 20 due to the interaction with the object 20.
- Cut mark "wait” this cut mark can be set when neither movement nor load of forces or weights of the person 20 takes place over a certain time Movement exceeds a corresponding influence size classification, and thus, for example, corresponds to a permanently painful movement, such as a dislocation.
- Body movements are performed by the person 20, which include larger movements than a predetermined allowable body movement, and these body movements are performed by one of the aforementioned crop marks to a next cut mark without a connection with the next cut mark, the Cutting mark "body movements” are set by different influencing size classifications.
- Such a change of the influencing size classifications can occur, for example, in the case of a change from a first influencing variable classification characterizing, for example, a back flexion, to a second influencing factor classification characterizing, for example, a head flexion.
- Cutting mark "Start attitude and end attitude" These cut marks can be set manually for the delimitation of logical, related process sections by setting and juxtaposing the cut marks (first change of interaction of the person 20, second interaction change of the person 20 as well as various intermediate interactions) can a specific process description of the work action 24
- the setting of the different cutting marks can thus be used to finer act 24 in individual can be described by the respective crop marks sub-steps. As a result, a particularly accurate ergonomic evaluation of the work action 24 on the basis of the working data record 30 is possible.
- the present invention makes it possible to determine ergonomic influencing variables from the work data record 30, wherein, for example, the motion sensors 12 can be used as motion capturing sensors of the data acquisition device 10 to record the work data record 30, and the data acquisition device 10 can be used for the interaction sensors 14 (here: force sensors), for example, on the hands and feet of the person 20 may be supplemented.
- the motion sensors 12 can be used as motion capturing sensors of the data acquisition device 10 to record the work data record 30, and the data acquisition device 10 can be used for the interaction sensors 14 (here: force sensors), for example, on the hands and feet of the person 20 may be supplemented.
- step a) the motion data set 32 can be determined continuously as an input data record by means of the motion sensors 12, wherein in step b) an event-controlled setting of the crop marks (interaction changes, intermediate interactions) can be determined and evaluated.
- the work data record 30 can be transmitted to an external evaluation device in which, in a step S1, a calculation and generation of the cutting marks, including an assignment of the influencing variables, can take place in a software module. In a subsequent step S2, a generation of a process description from the influencing variables can take place. Finally, in a step S3, an ergonomic evaluation and calculation of a production time in electronic data processing systems can take place.
- the present invention it is possible to record the working data record characterizing the person's work in a particularly low-effort manner, whereas in at least some methods known from the prior art, for example, any influencing variables for a production time and ergonomization evaluation method are obtained by repeated observation and by measuring weights and / or weights
- employees in work processes and processes can be recorded by an employee and, for example, manually transferred to EDP systems.
- the process of influencing size determination is very time-consuming and subject to individual assessment fluctuations of the respective persons performing the investigations / analyzes.
- the present invention enables the capture of the work action 24 (or a plurality of different work actions) and their ergonomic evaluation combined with a determination of default time values. As a result, both an intensity and a duration and frequency of the work action 24 can be determined in a standardized manner.
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- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102016012351.6A DE102016012351A1 (de) | 2016-10-14 | 2016-10-14 | Verfahren zum Erfassen eines Arbeitsdatensatzes und Datenerfassungsvorrichtung |
| PCT/EP2017/001153 WO2018068881A1 (de) | 2016-10-14 | 2017-09-27 | Verfahren zum erfassen eines arbeitsdatensatzes und datenerfassungsvorrichtung |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3526743A1 true EP3526743A1 (de) | 2019-08-21 |
Family
ID=57352296
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP17780626.2A Ceased EP3526743A1 (de) | 2016-10-14 | 2017-09-27 | Verfahren zum erfassen eines arbeitsdatensatzes und datenerfassungsvorrichtung |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3526743A1 (de) |
| DE (1) | DE102016012351A1 (de) |
| WO (1) | WO2018068881A1 (de) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102017221501A1 (de) * | 2017-11-30 | 2019-06-06 | Bayerische Motoren Werke Aktiengesellschaft | Vorrichtung zur automatischen Ermittlung von Zeitdaten für die Montage eines Produkts |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008005761A1 (de) * | 2008-01-24 | 2009-07-30 | Volkswagen Ag | Verfahren zur Fabrikplanung |
| DE102012024212A1 (de) * | 2012-12-11 | 2014-06-12 | Volkswagen Aktiengesellschaft | Verfahren und Einrichtung zur automatisierten Analyse eines Fertigungsprozesses, insbesondere eines Fertigungsprozesses für ein Kraftfahrzeug |
| US20160012361A1 (en) * | 2013-04-18 | 2016-01-14 | Omron Corporation | Work management system and work management method |
| DE102015008723A1 (de) * | 2015-07-04 | 2016-01-28 | Daimler Ag | Verfahren zum Betreiben einer Arbeitsstation einer Produktionsanlage und Produktionsanlage |
-
2016
- 2016-10-14 DE DE102016012351.6A patent/DE102016012351A1/de active Pending
-
2017
- 2017-09-27 EP EP17780626.2A patent/EP3526743A1/de not_active Ceased
- 2017-09-27 WO PCT/EP2017/001153 patent/WO2018068881A1/de not_active Ceased
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008005761A1 (de) * | 2008-01-24 | 2009-07-30 | Volkswagen Ag | Verfahren zur Fabrikplanung |
| DE102012024212A1 (de) * | 2012-12-11 | 2014-06-12 | Volkswagen Aktiengesellschaft | Verfahren und Einrichtung zur automatisierten Analyse eines Fertigungsprozesses, insbesondere eines Fertigungsprozesses für ein Kraftfahrzeug |
| US20160012361A1 (en) * | 2013-04-18 | 2016-01-14 | Omron Corporation | Work management system and work management method |
| DE102015008723A1 (de) * | 2015-07-04 | 2016-01-28 | Daimler Ag | Verfahren zum Betreiben einer Arbeitsstation einer Produktionsanlage und Produktionsanlage |
Non-Patent Citations (3)
| Title |
|---|
| ANONYMOUS: "Volkswagen "autogramm" - Die Zeitung für die Mitarbeiterinnen und Mitarbeiter der Marke Volkswagen - "Ungeahnte Kräfte"", 30 November 2014 (2014-11-30), pages 1 - 2, XP055701049, Retrieved from the Internet <URL:https://web.archive.org/web/20170302130527/http://autogramm.volkswagen.de/11_14/volkswagenweg/volkswagenweg_01.html> [retrieved on 20200604] * |
| LIANG MA ET AL: "A framework for interactive work design based on motion tracking, simulation, and analysis", HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, vol. 20, no. 4, 28 April 2010 (2010-04-28), pages 339 - 352, XP055701044, ISSN: 1090-8471, DOI: 10.1002/hfm.20178 * |
| See also references of WO2018068881A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018068881A1 (de) | 2018-04-19 |
| DE102016012351A1 (de) | 2016-12-08 |
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