CN111624955A - Process management system and process management method - Google Patents
Process management system and process management method Download PDFInfo
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- CN111624955A CN111624955A CN201910335162.3A CN201910335162A CN111624955A CN 111624955 A CN111624955 A CN 111624955A CN 201910335162 A CN201910335162 A CN 201910335162A CN 111624955 A CN111624955 A CN 111624955A
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- 238000000034 method Methods 0.000 title claims abstract description 181
- 230000008569 process Effects 0.000 title claims abstract description 165
- 238000007726 management method Methods 0.000 title claims abstract description 57
- 238000004519 manufacturing process Methods 0.000 claims abstract description 56
- 230000004044 response Effects 0.000 claims abstract description 33
- 230000008859 change Effects 0.000 claims abstract description 24
- 230000000977 initiatory effect Effects 0.000 claims abstract description 4
- 238000004891 communication Methods 0.000 claims description 10
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims description 6
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000012905 input function Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
A process management method suitable for managing a die change process of a production line machine is provided. The process management method comprises the following steps: transmitting a first signal by the smart set-top box in response to the initiation of the mold change process; sending a second signal by the intelligent set-top box in response to the end of the mold change process; and calculating the process time of the mold changing process according to the first receiving time corresponding to the first signal and the second receiving time corresponding to the second signal.
Description
Technical Field
The present invention relates to a mold manufacturing technology, and more particularly, to a process management system and a process management method.
Background
Different from a general monotonous production line process with high repeatability, the execution steps of the die changing process are complex, and a plurality of people are often required to operate simultaneously to complete the die changing process. Therefore, in the conventional technology for managing the production line, the process time of the mold changing process is difficult to be objectively evaluated, which also makes it impossible for the manager to effectively improve the mold changing process to shorten the process time of the mold changing process. In addition, the manager cannot fairly evaluate the performance of the operator who operates the mold changing process. Thus, the mood and even the working performance of the operators are negatively influenced.
Disclosure of Invention
The invention provides a process management system and a process management method suitable for managing a die change process of a production line machine station, which are used for more accurately calculating the process time used by each operator when carrying out a die change program.
The process management system is suitable for managing the die changing process of the production line machine. The process management system includes: server and intelligent STB. The intelligent set-top box is in communication connection with the server. The intelligent set-top box sends a first signal to the server in response to the start of the mold changing process and sends a second signal to the server in response to the end of the mold changing process, wherein the server calculates the process time of the mold changing process according to a first receiving time corresponding to the first signal and a second receiving time corresponding to the second signal.
In an embodiment of the invention, the intelligent set-top box has an input interface. The intelligent set-top box receives a first operation from an operator through the input interface and sends a first signal in response to the first operation. The intelligent set-top box receives a second operation from the operator through the input interface and sends a second signal in response to the second operation.
In an embodiment of the invention, the process management system further includes a machine status sensor. The machine state sensor is in communication connection with the intelligent set top box, the machine state sensor is installed on a production line machine and senses the production line machine to generate state information, and the intelligent set top box receives the state information from the machine state sensor and forwards the state information to the server.
In an embodiment of the invention, the process management system further includes a camera. The camera is communicatively connected to the server. The server identifies an operator of the production line machine through the camera and associates the process time with the operator.
In an embodiment of the invention, the camera starts recording in response to the first signal and ends recording in response to the second signal.
In an embodiment of the invention, the server stores a reference process time corresponding to the mold changing process. The server performs process abnormality management in response to a difference between the reference process time and the process time being greater than a set value.
In an embodiment of the invention, the process exception management includes at least one of the following: sending out a warning to prompt that the die change process is abnormal; storing or marking the image recorded by the camera during the mold changing process and corresponding to the production line machine; and storing or marking the state information corresponding to the production line machine, which is generated by the machine state sensor during the die changing process.
In an embodiment of the invention, the reference process time corresponds to an operator of the production line machine.
In an embodiment of the invention, the process management system further includes an identification card sensor. The identification card sensor is in communication connection with the server, and the server identifies the operator of the production line machine through the identification card sensor and associates the process time with the operator.
The process management method is suitable for managing the die changing process of the production line machine. The process management method comprises the following steps: transmitting a first signal by the smart set-top box in response to the initiation of the mold change process; sending a second signal by the intelligent set-top box in response to the end of the mold change process; and calculating the process time of the mold changing process according to the first receiving time corresponding to the first signal and the second receiving time corresponding to the second signal.
Based on the above, the process management system can accurately record the process time used for each die change process. When the working procedure time used by an operator is abnormal, the working procedure management system can give a warning in real time to prompt the manager of the abnormality of the die changing working procedure or to urge the operator of the die changing working procedure to accelerate.
In order to make the aforementioned and other features and advantages of the invention more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
FIG. 1 is a schematic diagram of a process management system according to an embodiment of the invention.
FIG. 2 is a flow chart of a process management method according to an embodiment of the invention.
Detailed Description
Fig. 1 is a schematic diagram of a process management system 10 according to an embodiment of the invention, the process management system 10 is adapted to manage a mold changing process of a production line tool 200. The process management system 10 includes a server 110 and an intelligent set-top box 120. In one embodiment, the process management system 10 further includes a tool status sensor 130, a camera 140 or an id sensor 150, but the invention is not limited thereto.
The server 110 has necessary components such as a processing unit (for example, but not limited to, a processor), a communication unit (for example, but not limited to, various communication chips, bluetooth chip, WiFi chip, etc.), and a storage unit (for example, but not limited to, removable random access memory, flash memory, hard disk, etc.) for operating the server 110.
The smart set-top box 120 has necessary components such as a processing unit (for example, but not limited to, a processor), a communication unit (for example, but not limited to, various communication chips, bluetooth chip, WiFi chip, etc.), and a storage unit (for example, but not limited to, removable random access memory, flash memory, hard disk, etc.) for operating the smart set-top box 120.
The smart set-top box 120 is communicatively connected to the server 110 and may have an input interface 121, wherein the input interface 121 is a device having an input function, such as a touch panel, a button, or a keyboard. The smart set-top box 120 may receive the signal and forward the received signal to the server 110. For example, the server 110 may be installed in a management room of a factory, and the smart set-top box 120 may be remotely installed at a location near the production line tool 200. Accordingly, the intelligent set-top box 120 may forward the signal generated by the device near the production line tool 200 to the server 110 located in the management room, so that the server 110 can master the status of the site where the production line tool 200 is located.
When the operator performs the mold changing process of the production line machine 200, the smart set-top box 120 may send a first signal S1 to the server 110 in response to the start of the mold changing process, and send a second signal S2 to the server 110 in response to the end of the mold changing process. When the operator starts the mold changing process of the production line tool 200, the operator may perform a first operation on the input interface 121, so that the input interface 121 sends the first signal S1 to the server 110 in response to the first operation. For example, if the input interface 121 is a button, the operator may press the input interface 121 when the mold changing process is to be started, so that the input interface 121 sends the first signal S1 to the server 110 in response to the press of the operator. Similarly, when the operator finishes the mold changing process of the production line tool 200, the operator may perform a second operation on the input interface 121, so that the input interface 121 sends the second signal S2 to the server 110 in response to the second operation. For example, if the input interface 121 is a button, the operator may press the input interface 121 when the mold changing process is to be finished, so that the input interface 121 sends the second signal S2 to the server 110 in response to the press of the operator.
The server 110 may calculate a process time used for the operation of the mold changing process according to the first receiving time corresponding to the first signal S1 and the second receiving time corresponding to the second signal S2. Specifically, the server 110 may calculate the process time according to a difference between the first receiving time and the second receiving time. For example, if the server 110 receives the first signal S1 at noon and the second signal S2 at noon, the server 110 can calculate the process time used for operating the mold changing process as one hour according to the difference between noon and noon.
The server 110 may store reference process times corresponding to mold changing processes of the production line tool 200, and different operators may correspond to different reference process times. For example, the manager of the production line tool 200 may set the reference process time corresponding to a specific operator according to the normal work performance of the specific operator. If the operator usually needs to take a long time to operate the mold changing process, the manager of the production line tool 200 may set the reference process time corresponding to the operator to a long time. If the operator usually needs to spend a short time operating the mold changing process, the manager of the production line tool 200 can set the reference process time corresponding to the operator to a short time.
The server 110 may identify the operator using the production line tool 200 through a camera 140, an identification card sensor 150, or the like. In one embodiment, the process management system 10 may include a camera 140 communicatively coupled to the server 110. The server 110 can recognize the operator using the production line tool 200 through the camera 140. The camera 140 may be in a sleep state at ordinary times. After the smart set-top box 120 sends the first signal S1 to the server 110 in response to the start of the mold change process of the production line tool 200, the video camera 140 may start recording video in response to the first signal S1. After the intelligent set-top box 120 sends the second signal S2 to the server 110 in response to the end of the mold changing process of the production line tool 200, the video camera 140 may end the video recording in response to the second signal S2.
In another embodiment, the process management system 10 may include an identification card sensor 150 communicatively coupled to the server 110. The server 110 can identify the operator using the production line tool 200 through the identification card sensor 150. Specifically, before the mold changing process of the production line tool 200 is started, the operator needs to use the id sensor 150 to detect his own id. The id sensor 150 transmits the detection result to the server 110. After the server 110 confirms the identity of the operator according to the detection result, the operator can operate the mold changing process.
After the server 110 identifies the operator using the production line tool 200, the server 110 may associate the calculated process time of the mold changing process with the operator. For example, if a first operator operates the mold change process of the production line tool 200 so that the server 110 calculates the corresponding first process time, the server 110 may store the first process time in the database associated with the first operator for later use as a basis for evaluating the performance of the first operator.
After the server 110 calculates a process time used by an operator to operate the mold changing process according to the first receiving time corresponding to the first signal S1 and the second receiving time corresponding to the second signal S2, the server 110 may compare the calculated process time with a reference process time corresponding to the operator. If the difference between the working procedure time used by the operator in the current mould changing procedure and the reference working procedure time corresponding to the operator is too large, for example, the working procedure time is too long, so that the difference obtained by subtracting the reference working procedure time from the working procedure time exceeds a set value, it indicates that the current mould changing procedure may be abnormal. Accordingly, the server 110 may perform process abnormality management in response to the difference between the reference process time and the process time being greater than the set value.
The process anomaly management can include a variety of aspects. In one embodiment, the server 110 may issue an alert to prompt the production line tool 200 that the mold change process is abnormal when performing the process abnormality management. For example, the server 110 may control a device near the production line tool 200 to emit a flash or sound to prompt an operator near the production line tool 200 to perform an abnormal mold change process. The operator can start to eliminate the abnormity of the die change process or accelerate the die change process according to the prompt.
In another embodiment, the server 110 may store or mark the image recorded by the camera 140 during the mold changing process corresponding to the production line tool 200 when performing the process anomaly management. Then, the manager can quickly inquire the relevant image when the module changing process is abnormal based on the mark, and the image can be used as a reference for improving the module changing process.
In yet another embodiment, the server 110 stores or marks the status information corresponding to the production line tool 200 generated by the tool status sensor 130 during the mold change process when performing the process exception management. Then, the manager can quickly inquire the state information of the production line machine 200 when the mold changing process is abnormal based on the mark, and the state information can be used as a reference for improving the mold changing process.
The machine status sensor 130 is communicatively connected to the smart set-top box 120 and installed in the production line machine 200. The tool status sensor 130 is used for sensing various statuses of the production line tool 200 to generate status information. After generating the status information of the production line tool 200, the intelligent set-top box 120 may receive the status information from the tool status sensor 130 and forward the status information to the server 110. The manager may operate the server 110 to query the status information of the production line tool 200. The tool status sensor 130 is, for example, a thermometer, a tachometer, an accelerometer, a pressure gauge, etc. for sensing various statuses of the production line tool 200, and the status information may be related to the temperature, the rotational speed, the acceleration, the pressure, etc. of the production line tool 200, but the invention is not limited thereto.
FIG. 2 is a flow chart of a process management method according to an embodiment of the invention. The process management method is suitable for managing the mold changing process of the production line machine and can be implemented by the process management system 10. The process management method comprises the following steps: in step S21, a first signal is sent by the smart set-top box in response to the initiation of the mold change process. In step S23, a second signal is sent by the smart set-top box in response to the end of the mold change process. In step S25, a process time of the mold changing process is calculated according to a first receiving time corresponding to the first signal and a second receiving time corresponding to the second signal.
In summary, the process management system of the present invention can accurately record the process time used for each die change process. When the working procedure time used by an operator is abnormal, the working procedure management system can give a warning in real time to prompt the manager of the abnormality of the die changing working procedure or to urge the operator of the die changing working procedure to accelerate. On the other hand, the process management system can recognize the operator who is currently operating the mold changing process through a camera, an identification card sensor, or the like, and record the process time corresponding to each operator. Thus, the process management system can help the manager to individually evaluate the performance of different operators.
Although the present invention has been described with reference to the above embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention.
[ notation ] to show
10: process management system
110: server
120: intelligent set-top box
121: input interface
130: machine station state sensor
140: camera with a lens having a plurality of lenses
150: identification card sensor
200: production line machine
S1: the first signal
S2: the second signal
S21, S23, S25: step (ii) of
Claims (10)
1. A process management system is suitable for managing a die change process of a production line machine, and comprises:
a server; and
and the intelligent set top box is in communication connection with the server, and sends a first signal to the server in response to the start of the mold changing process and sends a second signal to the server in response to the end of the mold changing process, wherein the server calculates the process time of the mold changing process according to a first receiving time corresponding to the first signal and a second receiving time corresponding to the second signal.
2. The process management system according to claim 1, wherein said smart set-top box has an input interface;
the intelligent set top box receives a first operation from an operator through the input interface and sends the first signal in response to the first operation; and
the intelligent set-top box receives a second operation from the operator through the input interface and sends the second signal in response to the second operation.
3. The process management system according to claim 1, further comprising:
and the machine state sensor is in communication connection with the intelligent set top box, is arranged in the production line machine and senses the production line machine to generate state information, and the intelligent set top box receives the state information from the machine state sensor and forwards the state information to the server.
4. The process management system according to claim 1, further comprising:
and the camera is in communication connection with the server, and the server identifies the operator of the production line machine station through the camera and associates the process time with the operator.
5. The process management system according to claim 4, wherein said camera starts recording in response to said first signal and ends recording in response to said second signal.
6. The process management system according to claim 1, wherein said server stores a reference process time corresponding to said retooling process; and the server performing process abnormality management in response to a difference between the reference process time and the process time being greater than a set value.
7. The process management system of claim 6, wherein said process exception management comprises at least one of:
sending out a warning to prompt that the die change procedure is abnormal;
storing or marking images recorded by a camera during the mold changing process corresponding to the production line machine; and
storing or marking status information corresponding to the production line tool generated by a tool status sensor during the mold changing process.
8. The process management system of claim 6, wherein the reference process time corresponds to an operator of the production line tool.
9. The process management system according to claim 1, further comprising:
and the server identifies the operators of the production line machine tables through the identification card sensor and associates the process time with the operators.
10. A process management method is suitable for managing a die change process of a production line machine, and comprises the following steps:
transmitting a first signal by the smart set-top box in response to the initiation of the mold change process;
sending a second signal by the smart set-top box in response to the end of the mold change process; and
and calculating the process time of the mold changing process according to the first receiving time corresponding to the first signal and the second receiving time corresponding to the second signal.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW108106644A TWI754131B (en) | 2019-02-27 | 2019-02-27 | Process management system and process management method |
| TW108106644 | 2019-02-27 |
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| CN111624955A true CN111624955A (en) | 2020-09-04 |
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| TW201907254A (en) * | 2018-11-07 | 2019-02-16 | 國立高雄科技大學 | Intelligent monitoring system for molds |
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| JP2014153847A (en) * | 2013-02-07 | 2014-08-25 | Pegasus Sewing Machine Mfg Co Ltd | Wireless work management system |
| WO2016143069A1 (en) * | 2015-03-10 | 2016-09-15 | 三菱電機株式会社 | Remote work assistance system |
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- 2019-02-27 TW TW108106644A patent/TWI754131B/en active
- 2019-04-24 CN CN201910335162.3A patent/CN111624955A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104025481A (en) * | 2011-11-04 | 2014-09-03 | 松下电器产业株式会社 | Wireless communication apparatus and wireless communication system |
| CN102915478A (en) * | 2012-09-25 | 2013-02-06 | 徐广国 | Production execution management system and method thereof |
| CN205071198U (en) * | 2015-10-15 | 2016-03-02 | 和硕联合科技股份有限公司 | Management device |
| CN105450454A (en) * | 2015-12-03 | 2016-03-30 | 广州华多网络科技有限公司 | Service monitoring and warning method and device |
| CN107992914A (en) * | 2017-12-01 | 2018-05-04 | 杰克缝纫机股份有限公司 | A kind of machining period measuring method and system, terminal |
| TW201907254A (en) * | 2018-11-07 | 2019-02-16 | 國立高雄科技大學 | Intelligent monitoring system for molds |
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| Publication number | Publication date |
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| TWI754131B (en) | 2022-02-01 |
| TW202032443A (en) | 2020-09-01 |
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