EP3600781B1 - Vérification prédictive d'un outil à main électrique - Google Patents

Vérification prédictive d'un outil à main électrique Download PDF

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Publication number
EP3600781B1
EP3600781B1 EP18711066.3A EP18711066A EP3600781B1 EP 3600781 B1 EP3600781 B1 EP 3600781B1 EP 18711066 A EP18711066 A EP 18711066A EP 3600781 B1 EP3600781 B1 EP 3600781B1
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EP
European Patent Office
Prior art keywords
hand tool
determined
failure probability
load
failure
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.)
Active
Application number
EP18711066.3A
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German (de)
English (en)
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EP3600781A1 (fr
Inventor
Andre Ullrich
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Robert Bosch GmbH
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Robert Bosch GmbH
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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25FCOMBINATION OR MULTI-PURPOSE TOOLS NOT OTHERWISE PROVIDED FOR; DETAILS OR COMPONENTS OF PORTABLE POWER-DRIVEN TOOLS NOT PARTICULARLY RELATED TO THE OPERATIONS PERFORMED AND NOT OTHERWISE PROVIDED FOR
    • B25F5/00Details or components of portable power-driven tools not particularly related to the operations performed and not otherwise provided for

Definitions

  • the invention relates to a method according to claim 1.
  • An electric hand tool for example a cordless screwdriver or a hammer drill, is set up to perform a mechanical task using electrical energy.
  • the hand tool is subject to wear that depends on its load. In general, the wear is greater the longer the load lasts and the stronger it is. However, it is not easy to determine when the wear is so great that the hand tool is no longer functional. An average operating time or the age of the hand tool have not proven to be reliable parameters.
  • Indicators are used on some power tools to announce or avoid failure or impending failure of an element.
  • a carbon brush of an electric motor can have a wear contact that lights up an LED when the carbon brush is worn out.
  • EP 1 398 119 A1 proposes using a safety system in an electric hand tool in which a probability of the hand tool jamming is calculated and, if this probability is above a certain value, triggering a disconnection mechanism.
  • An object underlying the invention is to provide an improved technique for checking an electric hand tool.
  • the invention solves this problem by means of the subject matter of the independent claims. Subclaims reflect preferred embodiments.
  • a method for checking an electric hand tool comprises the steps of detecting a load on the electric hand tool; determining a probability of failure of the electric hand tool based on the load; and issuing an indication if the probability of failure exceeds a predetermined threshold.
  • a user of the hand tool can be given early warning of an imminent failure of the hand tool.
  • a repair or maintenance measure can be initiated early, so that the availability of the hand tool is improved.
  • Different threshold values can be specified for different purposes. If the hand tool is used, for example, in the rescue service, the threshold value can be chosen to be lower than if the hand tool is intended for use by a do-it-yourselfer.
  • the probability of failure is determined in relation to a predetermined statistical usability.
  • the usability can indicate what power is provided by the electrical hand tool.
  • the usability can include a mechanical performance, for example. For example, an indication can be issued if the probability that the usability is less than 80% is greater than 95%. By considering the usability, a normal wear process of the hand tool can be mapped in an improved way.
  • different usabilities can be predetermined and different notices can be output when the associated usability is no longer met with the determined probability of failure. For example, an advance notice, an announcement and an indication that the hand tool should be serviced can be given in succession.
  • the failure probability of an element of the electric hand tool is determined and the failure probability of the electric hand tool is determined on the basis of the determined failure probability.
  • the element can in particular comprise an assembly or a component.
  • the failure probabilities of a number of elements can also be considered and linked to one another.
  • a user of the hand tool can be given a recommendation as to which maintenance or repair work is required.
  • the probability of an unexpected failure can thus be significantly reduced. Repair costs can be reduced.
  • damage to parts that are not directly visible or damage caused by invisible wear and tear e.g. cracking
  • the probability of at least one concrete damage to the hand tool can be determined and the probability of failure of the hand tool can be determined on the basis of this probability.
  • an irreversibly demagnetized motor for example, an irreversibly demagnetized motor, a breakage of a locking body, a bending or breakage of a switching disc in a tool lock, wear of a pressed-in pinion, excessive clutch torque, wear of a contact holder, discharge of a battery in a communication module, a failure of a sensor, an aging or defective energy store or a fault in the overall system of the electric hand tool are taken into account.
  • the load and function information of the electric hand tool is transmitted to a central instance, with the probability of failure of the electric hand tool being determined on the basis of load and function information from a large number of comparable electric tools.
  • a computer program product includes program code means for performing the method described above when the computer program product runs on a processing device or is stored on a computer-readable data medium.
  • a control device for an electric hand tool comprises a scanning device for detecting a load on the electric hand tool; processing means for determining a probability of failure of the electric hand tool based on the load; and an output device for outputting an indication if the probability of failure exceeds a predetermined threshold value.
  • control device can be set up to partially or completely carry out the method described above.
  • processing device may comprise a programmable microcomputer and the method described above may be in the form of a computer program product for execution on the processing device. Additional features and advantages of the method can therefore also apply to the control device and vice versa.
  • control device has a communication device for coupling to a further device.
  • additional device can include the central entity mentioned above. Part of the determination of the probability of failure can be carried out by the central entity.
  • the further device comprises, for example, a mobile telephone, a portable or a permanently installed computer.
  • the additional device can be set up to connect to the central instance.
  • the notification is output on the additional device. To this end, part of the method described above, in particular determining the probability of failure, can be carried out by the additional device.
  • a central instance is set up to receive load and functional information from a large number of mutually comparable electrical hand tools and on the basis of the received information Information and the load on an electric hand tool to determine its probability of failure.
  • FIG 1 shows a schematic representation of an electric hand tool 100.
  • the hand tool 100 preferably comprises a hand-held tool and is electrically operable.
  • the hand tool 100 includes an electrical energy store 105, but in another embodiment a cable connection to an electrical supply network can also be provided.
  • the hand tool 100 shown is designed purely as an example as a hand-held electric hammer drill.
  • Other possible power tools include a cordless screwdriver, a saw, lawn edgers, hedge trimmers, a hand lamp, or an electric kitchen tool such as an electric mixer.
  • the hand tool 100 comprises an electric motor 110 which acts on a drill chuck 120 via a gear 115 .
  • a drill or a chisel can be clamped in the drill chuck 120 .
  • the transmission 115 can include a clutch or a percussion mechanism. In one embodiment, it is a manual transmission with multiple selectable gears.
  • a control device 125 is set up to the To control function of the hand tool 100, in particular a current flow through the electric motor 110, depending on a user control.
  • control device 125 preferably includes a processing device 130, which in particular can include a programmable microcomputer or microcontroller.
  • the processing device 130 is connected to at least one sensor 135 which is set up to provide load information on the hand tool 100 .
  • the sensor 135 can in particular include a temperature sensor, an acceleration sensor or a current sensor.
  • a running time, a load cycle, a charging cycle, a power consumption, a load profile, a temperature profile or other suitable load data in the hand tool 100 can be recorded by means of the one or more sensors 135 .
  • the control device 125 is preferably set up to store and/or further process or interpret the recorded information.
  • control device 125 be set up to determine a probability of failure of a component, an assembly or the entire hand tool 100 on the basis of the load information and predetermined usability information of individual elements of the hand tool 100 .
  • statistical methods can be used which relate a specific load on the hand tool 100 to empirically or otherwise recorded correlations between loads and failures of comparable hand tools 100 .
  • a probability of failure of an element or of the entire hand tool 100 can be determined based on recorded load information by comparing how many other electric hand tools 100 have remained sufficiently functional under similar loads. It can be varied what exactly is to be understood by sufficiently functional.
  • a decrease in the mechanical power that can be provided at the drill chuck 120 indicate a need for maintenance of the hand tool 100 by a predetermined proportion with a further predetermined probability.
  • a probability of failure of the electric hand tool 100 can be determined on the basis of known loads to be endured by elements of the hand tool 100 or of the entire hand tool 100, for example in the form of statistical failure probabilities B1, B10, median and so on. In particular, successively more urgent warnings can be issued if the probability of failure successively exceeds increasing threshold values or falls below decreasing statistical usability.
  • An output device 140 can be set up for optical, acoustic and/or haptic notification of a user if the probability of failure determined under the selected conditions exceeds a predetermined threshold value.
  • a communications module 145 is provided for coupling to an external device.
  • FIG 2 shows a system 200 with an electric hand tool 100.
  • hand tools 100 are shown as examples, here by way of example a hammer drill and a cordless screwdriver.
  • the electric hand tool 100 is wirelessly coupled to another device by means of a communication module 145 .
  • the additional device can in particular include a device that can be controlled by the user of the hand tool 100, for example a mobile phone ("smartphone"), a portable computer (“tablet computer”, “laptop”) or a stationary computer (“desktop computer”).
  • a communication between the hand tool 100 and the user computer 205 can take place in particular by means of WLAN, Bluetooth, WiMAX, NFC or a similar technology.
  • the user computer 205 can be in communication with a central authority 210 .
  • the central entity 210 is preferably set up to record load and functional information from a large number of hand tools 100 and store it in a data memory 215 .
  • the probability of a hand tool 100 failing given the load information and possibly a predetermined usability of the hand tool 100 it can be determined, for example, the probability of a hand tool 100 failing given the load information and possibly a predetermined usability of the hand tool 100 .
  • a failure of an element of the hand tool 100 can be predicted on the basis of the information mentioned.
  • specific damage to the hand tool 100 can be better diagnosed or predicted on the basis of the information received.
  • An influence of the damage on a probability of failure or usability of the hand tool 100 can be determined accordingly.
  • these determinations can be made by the central instance 210, by the user computer 205 or by the hand tool 100.
  • the hand tool 100 is connected directly to the central instance 210 and the user computer 205 is omitted. Irrespective of the connection between the hand tool 100 and the central entity 210 , a determination result can also be output on the user computer 205 .
  • the output can include a visual, audible, or tactile cue.
  • figure 3 shows a flowchart of a method 300 for checking an electric hand tool 100.
  • the method 300 can be carried out partially or completely by the hand tool 100, the user computer 205 or the central instance 210 in different embodiments.
  • a step 305 information about a load on the hand tool 100 is recorded.
  • the detection can include the scanning of information by means of the sensor 135 or the storage of operating parameters by the control device 125 .
  • a course of loads over time is optionally determined.
  • a probability of failure of an element or of the entire hand tool 100 can be determined.
  • the probability of the existence of a predetermined damage can be determined.
  • the damage can affect multiple elements of the hand tool 100 .
  • predetermined degrees of wear of different elements together can result in a damage pattern.
  • a possible damage includes an irreversibly demagnetized electric motor 110.
  • the magnetic field strength of a permanent magnet of the electric motor 110 can drop.
  • a mechanical power that can be provided at the drill chuck 120 can be reduced as a result.
  • Further damage may include the breaking of a locking body, a bending or breaking of an indexing disc, or other mechanical deformation or wear of an element of the gearbox 115 or the drill chuck 120. Such damage can be determined based on vibration information during use of the hand tool 100, for example.
  • Another damage includes the wear of a pressed-in pinion, which can also be determined on the basis of vibration information, or the exceeding of a predetermined threshold value by a clutch torque.
  • the transmission 115 can include a clutch and a torque that is transmitted via the clutch can be determined, for example, by means of a torque sensor 135 .
  • An aging or defective electrical energy store 105 the capacity of which is reduced due to aging or a defect, can also be determined as an error pattern.
  • a probability of failure of the hand tool 100 can be determined.
  • the probability of failure can be based in particular on previously determined information and more preferably on the basis statistical knowledge about a large number of comparable hand tools 100 can be determined.
  • step 335 a corresponding message can be output.
  • the notification can be presented by the hand tool 100 or the user computer 205 in different embodiments.
  • the failure probability is determined on the basis of as much statistical information as possible from similar or identically constructed hand tools 100 .
  • the information recorded in steps 305 or 310 can therefore be transmitted to the central entity 210 in a step 340 .
  • the information can be compared with information available from the central entity 210 .
  • a result of the comparison can be sent back in a step 350 .
  • selected information can also be transmitted from the central entity 210 to the handheld tool 100, and the handheld tool can compare the local information with the information received itself.
  • figure 4 shows a diagram 400.
  • a time up to a mechanical failure is plotted in the horizontal direction and a failure probability is plotted in the vertical direction.
  • the information presented is to be considered as exemplary for a given electric hand tool 100 .
  • the time scale is inverse logarithmic and the probability scale is logarithmic. Both scales are given as examples and only for qualitative illustration. Exemplary statistical characteristics include: Shape: 5.18 Scale: 86.58 Average: 79.66 StdDev: 17.67 Median: 80.67 IQR: 24:15 Failure: 5 Censor: 1 AD* 9:19 Correlation: 0.94
  • a Weibull distribution of failures is assumed. At a first point 405, the B10 failure probability is approximately 47 hours with a confidence level of 85%. An average lifespan (median) is around 80 hours.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Percussive Tools And Related Accessories (AREA)
  • Portable Power Tools In General (AREA)

Claims (8)

  1. Procédé (300) de vérification d'un outil à main électrique (100), le procédé (300) comprenant les étapes suivantes consistant à :
    - détecter (305) une sollicitation de l'outil à main électrique (100) ;
    - déterminer (325) une probabilité de défaillance de l'outil à main électrique (100) sur la base de la sollicitation ;
    - émettre (335) une indication si la probabilité de défaillance dépasse une valeur seuil prédéterminée ; et
    - transmettre (340) des informations de sollicitation et de fonctionnement de l'outil à main électrique (100) à une instance centrale (210), la probabilité de défaillance de l'outil à main électrique (100) étant déterminée sur la base d'informations de sollicitation et de fonctionnement d'une pluralité d'outils électriques (100) comparables.
  2. Procédé (300) selon la revendication 1, dans lequel la probabilité de défaillance est déterminée par rapport à une utilité statistique prédéterminée.
  3. Procédé (300) selon la revendication 2, dans lequel des utilités de différents niveaux sont prédéterminées, et des indications différentes sont émises si la probabilité de défaillance de l'utilité respectivement associée est atteinte.
  4. Procédé (300) selon la revendication 3, dans lequel successivement, un avis préalable, un avis et une indication sont délivrés indiquant que l'outil à main (100) doit être soumis à une maintenance.
  5. Procédé (300) selon l'une quelconque des revendications précédentes, dans lequel la probabilité de défaillance d'un élément de l'outil à main électrique (100) est déterminée, et la probabilité de défaillance de l'outil à main électrique (100) est déterminée (325) sur la base de la probabilité de défaillance déterminée.
  6. Procédé (300) selon l'une quelconque des revendications précédentes, dans lequel plusieurs types d'informations de sollicitation sont enregistrés, la probabilité de défaillance d'au moins un dégât concret de l'outil à main (100) est déterminée (320), et la probabilité de défaillance de l'outil à main (100) est déterminée (325) sur la base de cette probabilité de défaillance.
  7. Procédé (300) selon l'une quelconque des revendications précédentes, dans lequel des valeurs seuil différentes sont spécifiées pour des usages différents.
  8. Produit de programme informatique comprenant des moyens de code programme pour exécuter le procédé (300) selon l'une quelconque des revendications précédentes avec un outil à main (100) et une instance centrale (210) si le produit de programme informatique est exécuté sur un dispositif de traitement (130) ou est stocké sur un support de données lisible par ordinateur.
EP18711066.3A 2017-03-21 2018-03-09 Vérification prédictive d'un outil à main électrique Active EP3600781B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102017204646.5A DE102017204646A1 (de) 2017-03-21 2017-03-21 Vorausschauendes Überprüfen eines elektrischen Handwerkzeugs
PCT/EP2018/055915 WO2018172105A1 (fr) 2017-03-21 2018-03-09 Vérification prédictive d'un outil à main électrique

Publications (2)

Publication Number Publication Date
EP3600781A1 EP3600781A1 (fr) 2020-02-05
EP3600781B1 true EP3600781B1 (fr) 2022-12-28

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ID=61628338

Family Applications (1)

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EP18711066.3A Active EP3600781B1 (fr) 2017-03-21 2018-03-09 Vérification prédictive d'un outil à main électrique

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EP (1) EP3600781B1 (fr)
CN (1) CN110621445A (fr)
DE (1) DE102017204646A1 (fr)
WO (1) WO2018172105A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102019220070A1 (de) * 2019-12-18 2021-06-24 Robert Bosch Gmbh Verfahren zu einer Benutzerinteraktion eines Elektrogeräts und/oder eines Elektrogerätezubehörs und System zu einem Durchführen des Verfahrens

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7124059B2 (en) * 2000-10-17 2006-10-17 Accenture Global Services Gmbh Managing maintenance for an item of equipment
DE10156218A1 (de) * 2001-11-15 2003-06-05 Metabowerke Gmbh Handgeführtes oder halbstationäres Elektrowerkzeuggerät
GB0220951D0 (en) * 2002-09-11 2002-10-23 Black & Decker Inc Safety cut-off for power tool with rotating tool bit
JP5412249B2 (ja) * 2009-11-19 2014-02-12 株式会社マキタ 手持ち工具
DE102011004364A1 (de) * 2011-02-18 2012-08-23 Robert Bosch Gmbh Handwerkzeugmaschine, insbesondere Akkuschrauber
DE102012204172A1 (de) * 2012-03-16 2013-09-19 Robert Bosch Gmbh Handwerkzeugmaschine
DE102013016068A1 (de) 2013-09-27 2015-04-02 Robert Bosch Gmbh Werkzeug und Verfahren zur Zustandsüberwachung eines Werkzeugs
DE102014207434A1 (de) * 2014-04-17 2015-10-22 Robert Bosch Gmbh Verfahren zum Betreiben einer Handwerkzeugmaschine, Handwerkzeugmaschine
US11491616B2 (en) * 2015-06-05 2022-11-08 Ingersoll-Rand Industrial U.S., Inc. Power tools with user-selectable operational modes

Also Published As

Publication number Publication date
DE102017204646A1 (de) 2018-09-27
CN110621445A (zh) 2019-12-27
EP3600781A1 (fr) 2020-02-05
WO2018172105A1 (fr) 2018-09-27

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