CN113310713A - Die fault detection device and detection method - Google Patents

Die fault detection device and detection method Download PDF

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Publication number
CN113310713A
CN113310713A CN202010123806.5A CN202010123806A CN113310713A CN 113310713 A CN113310713 A CN 113310713A CN 202010123806 A CN202010123806 A CN 202010123806A CN 113310713 A CN113310713 A CN 113310713A
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CN
China
Prior art keywords
mold
sound
mould
range
sound spectrum
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.)
Pending
Application number
CN202010123806.5A
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Chinese (zh)
Inventor
张磊
张平
刘国荣
李学涛
都明龙
黄�俊
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.)
Qingdao Haier Molds Co Ltd
Haier Caos IoT Ecological Technology Co Ltd
Original Assignee
Qingdao Haier Molds Co Ltd
Haier Caos IoT Ecological Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Qingdao Haier Molds Co Ltd, Haier Caos IoT Ecological Technology Co Ltd filed Critical Qingdao Haier Molds Co Ltd
Priority to CN202010123806.5A priority Critical patent/CN113310713A/en
Publication of CN113310713A publication Critical patent/CN113310713A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups

Abstract

The invention discloses a mould fault detection device and a detection method, wherein the detection device comprises a sound detection module, a sound detection module and a control module, wherein the sound detection module is used for acquiring a sound spectrum generated in the running process of a mould; and the control module is used for receiving the sound spectrum generated by the sound detection module, comparing the detected sound spectrum with a set value and judging whether the mould has a fault or not. The detection method comprises the following steps: and collecting the sound spectrum of the actual operation of the mold, and judging the failure of the mold and sending a corresponding control instruction when the collected sound spectrum exceeds a set value. The detection device and the detection method can detect the running process of the die, stop the action in time when the die runs abnormally and remind workers to maintain in time, prevent quality accidents of the die and a product and ensure normal production of the die; meanwhile, the mould fault is pre-diagnosed, so that the maintenance of technicians is facilitated in time, and the service life of the mould is prolonged.

Description

Die fault detection device and detection method
Technical Field
The invention belongs to the field of injection molds, and particularly relates to a mold fault detection device and a detection method.
Background
The injection mold is a tool for producing plastic products and also a tool for endowing the plastic products with complete structures and accurate dimensions, and the injection molding is a processing method used for batch production of parts with complex shapes, in particular to a method for injecting a material which is melted by heating into a mold cavity from high pressure and obtaining a formed product after cooling and solidification. The structure of the mold, although it may vary widely due to the nature of the plastic species, the shape and structure of the plastic product and the type of injection machine, is consistent in its basic structure, and it is mainly composed of a pouring system, a high temperature system, a molding part and a structural part, wherein the pouring system and the molding part are the parts in direct contact with the plastic and vary with the plastic and the product, being the most complex and varied parts of the plastic requiring the highest degree of finish and precision.
At present, the injection mold is widely applied to the production of articles for daily use, electronic products and automobile decorating parts. The quality and the work efficiency of injection mold operation condition's good direct influence injection molding work piece, the mould takes the trouble operation also can reduce the life of mould, therefore, carry out real-time detection and failure pre-diagnosis to the operation condition of mould and be favorable to improving yield and production efficiency, extension mould life reduction in production cost, the production and the trial-manufacturing in-process of current stage mould, there is temperature or pressure sensor, test and show temperature and pressure when moulding through the mould product, thereby manage and control the state of mould, and then realize the management to the mould and the improvement of product quality, but the scheme of managing and controlling through sound to mould product forming process has not had the application case yet.
The present invention has been made in view of this situation.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art, and provide a die fault detection device and a detection method, so that the operation process of a die is detected, when the die is abnormally operated, the operation is timely stopped, a worker is reminded to maintain the die in time, the quality accidents of the die and a product are prevented, the normal production of the die is ensured, meanwhile, the failure of the die is pre-diagnosed, the maintenance of the technician in time is facilitated, and the service life of the die is prolonged.
In order to solve the technical problems, the invention adopts the technical scheme that: a mold failure detection apparatus comprising: the sound detection module is used for collecting a sound spectrum generated in the running process of the mold; and the control module is used for receiving the sound spectrum generated by the sound detection module, comparing the detected sound spectrum with a set value and judging whether the mould has a fault or not.
Further, the sound detection module includes: one or more sound sensors for collecting sound during mold operation; the controller is used for receiving the sound collected by the sound sensor and generating a sound spectrum after processing the sound;
preferably, the sound sensor is mounted on a die frame of the die.
Furthermore, the control module is connected with the display processor, and the display processor displays the sound spectrum received by the control module in an image mode.
Furthermore, the control module is connected with the die and outputs a corresponding action instruction to the die according to the judgment.
The system further comprises a cloud display module, wherein the cloud display module is connected with the control module and used for uploading the judgment data of the control module to the cloud and enabling a user to call and output the judgment data for display.
A detection method of a mold fault detection device comprises the following steps: and collecting the sound spectrum of the actual operation of the mold, and judging the failure of the mold and sending a corresponding control instruction when the collected sound spectrum exceeds a set value.
Further, in the above-mentioned case,
when the collected sound spectrum is in the normal operation range, the mold continues to work normally;
when the collected sound spectrum exceeds the normal operation range and is in the maintenance range, a maintenance prompt is sent out;
when the collected sound spectrum exceeds the normal operation range and is in the operation stopping range, judging that the die has a fault, and stopping the die;
preferably, when the mold sends out a maintenance prompt, the mold continues to work, and a user can manually control the mold to stop working;
preferably, the normal operation range is smaller than a maintenance range, and the maintenance range is smaller than a stop operation range.
Further, when the sound spectrum acquired by the mold fault detection device exceeds a normal operation range and is in a maintenance range during actual operation of the mold, the mold sends a maintenance prompt, the mold continues to work, a user can manually control the mold to stop working, and an operator needs to maintain the mold;
preferably, when the sound spectrum acquired by the mold fault detection device exceeds a normal operation range and is within a maintenance range during actual operation of the mold, the mold fault detection device automatically sends an instruction to control the mold to stop working.
Further, when the sound spectrum acquired by the mould fault detection device exceeds the normal operation range and is in the operation stop range during the actual operation of the mould, the mould stops working, and the mould and/or the mould fault detection device sends out a fault prompt signal;
preferably, the fault notification signal includes any one or a combination of a notification tone, a notification graphic, and a push signal to the user terminal.
Further, the mould trouble information, the maintenance information that mould trouble detection device judged are uploaded to high in the clouds to can supply the long-range call of technical staff.
After the technical scheme is adopted, compared with the prior art, the invention has the following beneficial effects.
The acoustic spectrum images generated in different stages during the operation of the mold are detected in real time and compared with the preset acoustic spectrum images, the operation acoustic spectrum is in a normal production range or a maintenance range or a stop production range through comparison, the next operation condition of the mold is indicated, and the fault information or the maintenance information of the mold is transmitted to the cloud display module for recording, so that the acoustic spectrum of the mold of a product forming period is visualized, technical personnel can master the operation condition of the mold in real time, the operation fault of the mold is pre-diagnosed in real time, the mold is timely maintained and maintained, the mold is protected, the service life of the mold is prolonged, in addition, the operation of the mold is timely stopped when the operation of the mold is abnormal, and the damage to the mold and the quality accident of the product are effectively prevented.
Meanwhile, the invention has simple structure and obvious effect and is suitable for popularization and use.
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention, are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention without limiting the invention to the right. It is obvious that the drawings in the following description are only some embodiments, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a schematic structural diagram of a mold failure detection apparatus according to an embodiment of the present invention;
it should be noted that the drawings and the description are not intended to limit the scope of the inventive concept in any way, but to illustrate it by a person skilled in the art with reference to specific embodiments.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and the following embodiments are used for illustrating the present invention and are not intended to limit the scope of the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example one
As shown in fig. 1, the mold fault detection apparatus of the present invention mainly includes a sound detection module and a control module, wherein the sound detection module is configured to collect a sound spectrum generated during a mold operation process, and transmit the collected sound spectrum to the control module; the control module is used for comparing the received sound spectrum transmitted by the sound detection module with a set value and judging whether the mould has a fault or not.
The sound detection module in this embodiment includes any device capable of collecting sound information during the operation of the mold, such as a sound sensor or a sound intensity measuring instrument, and preferably includes a sound sensor for collecting sound during the operation of the mold; the sound detection module also comprises a controller, and the controller is used for receiving the sound collected by the sound sensor and generating a sound spectrum after processing the sound.
In this embodiment, the number of the sound sensor is one or more, preferably, the number of the sound sensor is one, and preferably, the one sound sensor is mounted on the mold frame.
In this embodiment, the control module is connected to a display processor or any device capable of displaying images, such as a computer, and is configured to display images of the sound spectrum received by the control module. The control module is also connected with the mould and used for outputting a corresponding action instruction to the mould according to the judgment result.
The mold fault detection device further comprises a cloud display module, the cloud display module is connected with the control module and used for uploading judgment data of the control module to a cloud end and enabling a user to call output to display the judgment data, so that an operator can know the operation condition of the mold in real time in a remote mode, the mold is maintained and maintained in time, and the service life of the mold is prolonged.
Example two
The invention also discloses a detection method of the mold fault detection device in the first embodiment, which is characterized in that a sound spectrum of the mold in actual operation is collected, and when the collected sound spectrum exceeds a set value, the mold fault is judged and a corresponding control instruction is sent out.
In this embodiment, sound information during normal operation of one or more periodic molds within a period is collected and recorded by the sound detection module, image forming display is performed by the display processor, a reasonable deviation range can be set by technical personnel according to sound spectrum images during normal operation of one or more periodic molds, and corresponding numerical value information is recorded into the control module, so that the sound spectrum information during actual operation of the mold is compared with the sound spectrum information during normal operation of the mold.
The principle of the detection method of the mold fault detection device in the embodiment is as follows:
in the embodiment, the technical personnel preset a normal operation range, a maintenance range and a stop operation range; the normal operation range is smaller than a maintenance range, and the maintenance range is smaller than a stop operation range;
when the collected sound spectrum is in the normal operation range, the mold continues to work normally;
further, when the collected sound spectrum exceeds a normal operation range and is in a maintenance range, a maintenance prompt is sent out;
further, when the collected sound spectrum exceeds a normal operation range and is in a stop operation range, judging that the die has a fault, and stopping the die;
furthermore, when the mold sends a maintenance prompt, the mold continues to work, and a user can manually control the mold to stop working.
When this embodiment is implemented specifically, the technical staff has set up normal operating range in advance, maintenance scope and stop operation scope, during the mould actual operation, the sound spectrum image that sound detection module continuously gathered the mould operation shows through the display processor to compare with preset value through control module, when the sound spectrum that mould fault detection device gathered surpassed normal operating range, was in the maintenance scope, the mould sent the maintenance suggestion, but the mould continues work, user manual control mould stop work, and operating personnel need carry out maintenance to the mould, and simultaneously, maintenance information transmission to high in the clouds display module record, the remote analysis of technical staff of being convenient for.
Another embodiment is: when the mould actually operates, the sound spectrum that mould fault detection device gathered surpasss normal operating range, is in the maintenance scope, and mould fault detection device is automatic to send instruction control mould stop work, and simultaneously, mould and/or mould fault detection device send maintenance cue signal, and the suggestion operating personnel maintains the maintenance to the mould to with shutdown information transmission to high in the clouds display module record, the technical staff remote analysis of being convenient for.
When the mold actually runs, when the sound spectrum collected by the mold fault detection device exceeds the normal running range and is in the operation stopping range, the mold stops working, the mold and/or the mold fault detection device sends out a fault prompt signal, and the mold fault information judged by the mold fault detection device is uploaded to the cloud end and can be remotely called by technicians.
In this embodiment, the fault notification signal includes any one or a combination of a notification sound, a notification graphic, and a signal pushed to the user terminal.
The mold in the embodiment is any kind of mold in the existing market, and is preferably an injection molding machine.
The embodiment grasps the running condition of the die in real time and maintains the die in time through visualization of the sound spectrum of the die in the product forming period, pre-diagnoses the die faults, prolongs the service life of the die, timely processes the faults of the die, achieves the effect of protecting the die, and simultaneously avoids the occurrence of product quality accidents.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. The utility model provides a mould fault detection device which characterized in that: the method comprises the following steps:
the sound detection module is used for collecting a sound spectrum generated in the running process of the mold;
and the control module is used for receiving the sound spectrum generated by the sound detection module, comparing the detected sound spectrum with a set value and judging whether the mould has a fault or not.
2. A mold failure detection apparatus as claimed in claim 1, wherein: the sound detection module includes: one or more sound sensors for collecting sound during mold operation; the controller is used for receiving the sound collected by the sound sensor and generating a sound spectrum after processing the sound;
preferably, the sound sensor is mounted on a die frame of the die.
3. The mold failure detection device according to claim 1, wherein: the control module is connected with the display processor, and the display processor displays the sound spectrum received by the control module in an image mode.
4. A mold failure detecting device according to any one of claims 1 to 3, wherein: the control module is connected with the die and outputs corresponding action instructions to the die according to the judgment.
5. The mold failure detection device according to any one of claims 1 to 4, wherein: the cloud display module is connected with the control module and used for uploading judgment data of the control module to the cloud and enabling a user to call and output the judgment data to display the judgment data.
6. A detection method of a mold failure detection apparatus according to any one of claims 1 to 5, characterized in that: and collecting the sound spectrum of the actual operation of the mold, and judging the failure of the mold and sending a corresponding control instruction when the collected sound spectrum exceeds a set value.
7. The detection method according to claim 6, characterized in that:
when the collected sound spectrum is in the normal operation range, the mold continues to work normally;
when the collected sound spectrum exceeds the normal operation range and is in the maintenance range, a maintenance prompt is sent out;
when the collected sound spectrum exceeds the normal operation range and is in the operation stopping range, judging that the die has a fault, and stopping the die;
preferably, when the mold sends out a maintenance prompt, the mold continues to work, and a user can manually control the mold to stop working;
preferably, the normal operation range is smaller than a maintenance range, and the maintenance range is smaller than a stop operation range.
8. The detection method according to claim 7, characterized in that: when the mold actually runs and the sound spectrum acquired by the mold fault detection device exceeds a normal running range and is in a maintenance range, the mold sends out a maintenance prompt, the mold continues to work, a user can manually control the mold to stop working, and an operator needs to maintain the mold;
preferably, when the sound spectrum acquired by the mold fault detection device exceeds a normal operation range and is within a maintenance range during actual operation of the mold, the mold fault detection device automatically sends an instruction to control the mold to stop working.
9. The detection method according to claim 7, characterized in that: when the mould actually runs and the sound spectrum collected by the mould fault detection device exceeds the normal running range and is in the operation stopping range, the mould stops working, and the mould and/or the mould fault detection device sends out a fault prompt signal;
preferably, the fault notification signal includes any one or a combination of a notification tone, a notification graphic, and a push signal to the user terminal.
10. The detection method according to claims 6-9, characterized in that: the mould trouble information, the maintenance information that mould trouble detection device judged upload to the high in the clouds to can supply the long-range call of technical staff.
CN202010123806.5A 2020-02-27 2020-02-27 Die fault detection device and detection method Pending CN113310713A (en)

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Application Number Priority Date Filing Date Title
CN202010123806.5A CN113310713A (en) 2020-02-27 2020-02-27 Die fault detection device and detection method

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Application Number Priority Date Filing Date Title
CN202010123806.5A CN113310713A (en) 2020-02-27 2020-02-27 Die fault detection device and detection method

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04298322A (en) * 1991-03-27 1992-10-22 Ube Ind Ltd Device for judging malfunction of blow molding machine
DE102012204282A1 (en) * 2011-03-30 2012-10-04 Fuji Jukogyo K.K. Device for testing pressed workpieces
CN102840979A (en) * 2012-09-04 2012-12-26 国电联合动力技术有限公司 Method and device for detecting transmission chain faults of wind turbine generator set
CN103558806A (en) * 2013-11-13 2014-02-05 桂林正菱第二机床有限责任公司 Fault treatment system of numerical control machine tool
CN103886709A (en) * 2012-12-20 2014-06-25 求才军 Automatic operation state alarm device of injection molding machine
TW201435530A (en) * 2013-03-14 2014-09-16 Cheng Uei Prec Ind Co Ltd Failure alarm system and method thereof
CN104049037A (en) * 2013-03-15 2014-09-17 东莞富强电子有限公司 Fault early warning system
CN105784401A (en) * 2016-04-14 2016-07-20 浙江微碳科技股份有限公司 Equipment failure audio frequency detection method and detection system thereof

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04298322A (en) * 1991-03-27 1992-10-22 Ube Ind Ltd Device for judging malfunction of blow molding machine
DE102012204282A1 (en) * 2011-03-30 2012-10-04 Fuji Jukogyo K.K. Device for testing pressed workpieces
CN102840979A (en) * 2012-09-04 2012-12-26 国电联合动力技术有限公司 Method and device for detecting transmission chain faults of wind turbine generator set
CN103886709A (en) * 2012-12-20 2014-06-25 求才军 Automatic operation state alarm device of injection molding machine
TW201435530A (en) * 2013-03-14 2014-09-16 Cheng Uei Prec Ind Co Ltd Failure alarm system and method thereof
CN104049037A (en) * 2013-03-15 2014-09-17 东莞富强电子有限公司 Fault early warning system
CN103558806A (en) * 2013-11-13 2014-02-05 桂林正菱第二机床有限责任公司 Fault treatment system of numerical control machine tool
CN105784401A (en) * 2016-04-14 2016-07-20 浙江微碳科技股份有限公司 Equipment failure audio frequency detection method and detection system thereof

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