CN111813063B - Method and device for monitoring production equipment - Google Patents
Method and device for monitoring production equipment Download PDFInfo
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- CN111813063B CN111813063B CN202010606926.0A CN202010606926A CN111813063B CN 111813063 B CN111813063 B CN 111813063B CN 202010606926 A CN202010606926 A CN 202010606926A CN 111813063 B CN111813063 B CN 111813063B
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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], computer integrated manufacturing [CIM]
- G05B19/4184—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], computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
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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
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
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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]
Abstract
An apparatus and method for monitoring production equipment, the method comprising: acquiring an original data set of the production equipment from an information carrier of the production equipment in real time; converting the original data set into standard data according to a capturing rule; the standard data is analyzed to monitor the production equipment. The original data set of the production equipment is obtained and converted into readable standard data according to the preset grabbing rule and recorded, so that the information of the production equipment is obtained, the production equipment has high production efficiency under the condition that the production condition is not changed, and meanwhile, the production equipment can be efficiently monitored in real time.
Description
Technical Field
The invention belongs to the field of industrial production, and particularly relates to a method and a device for monitoring production equipment.
Background
Along with the development of manufacturing industry, each big producer all has comparatively efficient industrial assembly line production, and many industrial assembly lines operate simultaneously, produce and assemble, and degree of automation is higher. In order to ensure that the industrial flow line production can be smoothly carried out, production equipment in the industrial flow line production needs to be monitored.
However, at present, monitoring production equipment often requires changing production conditions, such as shutdown and standby treatment of the production equipment. Therefore, how to monitor and not change the production conditions of the production equipment becomes a key point, so that the production equipment has higher production efficiency.
Disclosure of Invention
The invention aims to provide a method and a device for monitoring production equipment, which can effectively monitor the production equipment in real time on the premise of ensuring the production efficiency of the production equipment under the condition of not changing production conditions.
In order to realize the purpose of the invention, the invention provides the following technical scheme:
in a first aspect, the present invention provides a method of monitoring a production facility, the method comprising: acquiring an original data set of production equipment from an information carrier of the production equipment in real time; converting the original data set into standard data according to a preset capturing rule; and analyzing the standard data to monitor the production equipment. The original data set of the production equipment is obtained and converted into readable standard data according to the preset grabbing rule through setting, so that the information of the production equipment is obtained, the production equipment has high production efficiency under the condition that the production condition is not changed, and meanwhile, the production equipment can be efficiently monitored in real time.
In one embodiment, the method further comprises: the classification unit divides the original data group into a plurality of original data according to the content of the original data group, wherein the original data comprises any one or more of yield original data, equipment parameter original data and equipment state original data, the yield original data is used for obtaining yield standard data of the production equipment in a first preset time period, the equipment parameter original data is used for obtaining parameters of the production equipment, and the equipment state original data is used for judging the running state of the production equipment. The raw data group is classified into a plurality of raw data by arranging the classification unit, the raw data comprises any one or more of yield raw data, equipment parameter raw data and equipment state raw data, rich information of production equipment can be obtained, meanwhile, standard data are conveniently sorted, and comprehensive monitoring on the production equipment is facilitated.
In one embodiment, the production facility is controlled to operate using control software, the raw data set being generated by the control software; obtaining in real time an original data set of a production device from an information carrier of said production device, comprising: acquiring a path of the control software in the computer according to the keyword; and when the path is successfully acquired, starting data monitoring. The path of the control software on the computer is obtained so as to obtain the original data set of the production equipment.
In one embodiment, when the path acquisition fails, detecting the running state of the control software every second preset time period to judge whether the control software is running; data monitoring is initiated while the control software is running. The running condition of the control software is detected once every second preset time period, so that data monitoring can be started when the control software runs.
In one embodiment, when the control software is not running, checking a process list of the computer to judge whether a process of the control software exists; when the process of the control software exists, acquiring a path of the control software in the computer through the process of the control software; when the process of the control software does not exist, a first error log is recorded. It can be understood that, when the control software is not running, the process list of the computer is checked, and the process of the control software does not exist, the main control of the production equipment is closed, and a first error log of "the main control is closed" is recorded; and when the process of the control software exists, acquiring the path of the control software in the computer, so that the original data set can be acquired from the path of the control software in the subsequent data monitoring.
In one embodiment, the method further comprises: after data monitoring is started, the running state of the control software is detected once every third preset time period so as to judge whether the control software runs or not. It can be understood that after the data monitoring is started, it cannot be guaranteed that the control software can be operated all the time, and if the control software is killed, the process list of the computer needs to be checked again to determine whether the process of the control software exists.
In one embodiment, converting the raw data set into standard data according to a preset capture rule includes: judging whether fault information exists in the original data of the equipment state; and recording fault state standard data when the fault information exists. Whether the production equipment is in the fault state or not can be preliminarily judged by judging whether the fault information has the original equipment state data or not, so that the standard fault state data is recorded or the capturing rule is continuously executed.
In one embodiment, when the failure information does not exist, acquiring current first yield standard data, and comparing the first yield standard data with second yield standard data before a fourth preset time period; and when the first yield standard data and the second yield standard data have differences, recording the first yield standard data and the normal working state standard data. By acquiring the current first yield standard data, whether the production equipment is in a normal working state or a standby state can be preliminarily judged.
In one embodiment, when the first production standard data and the second production standard data are the same, if the operation status of the production equipment before the fifth preset time period is the standby status, the standby status standard data is recorded. And acquiring the running state of the production equipment before the fifth preset time period so as to further judge whether the production equipment is in a standby state.
In one embodiment, if the operation state of the production equipment before the fifth preset time period is not in the standby state, judging whether the production equipment is artificially selected to be in the standby state; if the user selects the standby state, recording the standard data of the standby state; and if the fault state is not in the standby state, recording the standard data of the fault state. It is understood that when the production equipment is in a normal working state and is artificially selected as a standby state, the production equipment will be transferred to the standby state. Therefore, since the operation state of the production equipment before the fifth preset time interval may be a non-standby state (normal operation state), in consideration of the above situation, it is necessary to determine whether the production equipment is manually selected as a standby state, and if the production equipment is manually selected as a standby state, the standby state standard data is recorded; if the selection is not in the standby state, indicating that the production equipment is in the fault state, and recording standard data of the fault state. Whether the production equipment is in the standby state or the fault state is further judged by judging whether the production equipment is artificially selected to be in the standby state or not.
In a second aspect, the present invention further provides an apparatus for monitoring a production facility, the apparatus comprising a memory and a processor, the memory storing a computer program, the computer program, when executed by the processor, causing the processor to perform the method according to any of the embodiments of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow diagram of a method of monitoring a production facility provided by the present invention;
FIG. 2 is a schematic diagram of a scenario for monitoring production equipment in one embodiment;
FIG. 3 is a schematic flow chart of S101 in FIG. 1;
fig. 4 is a schematic flow chart of S103 in fig. 1.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a method for monitoring production equipment, where the production equipment includes a laminator, a polishing machine, and the method includes:
s101: acquiring an original data set of the production equipment from an information carrier of the production equipment in real time;
s102: converting the original data set into standard data according to a capturing rule;
s103: the standard data is analyzed to monitor the production equipment.
Specifically, the raw data set is tedious and cannot directly obtain the information of the production equipment. The information carrier of the production device comprises a file, a database and an interface. The capture rule is related to the data structure and storage type of the information carrier of the production equipment, and because the information carriers corresponding to different production equipment may be different, the corresponding capture rule needs to be formulated according to the data structure and storage type of the corresponding information carrier. If the file stores the original data set, the structure of the file and the position of the original data set in the file need to be analyzed, so as to formulate the optimal capture rule. And converting the original data set into standard data with higher visualization degree according to the capturing rule, reading the standard data to obtain the information of the production equipment, and performing statistical analysis. In the process, the production equipment only needs to output the original data set and does not delay the normal output of the production equipment, so that the production equipment can keep higher production efficiency.
The original data set of the production equipment is obtained and converted into readable standard data according to the preset grabbing rule through setting, so that the information of the production equipment is obtained, the production equipment has high production efficiency under the condition that the production condition is not changed, and meanwhile, the production equipment can be efficiently monitored in real time.
Specifically, step S101, step S102 and step S103 can be all completed by a computer controlling the production equipment, and the production equipment is monitored at the computer. Alternatively, referring to fig. 2, step S101 and step S102 are performed by a computer, and step S103 is performed by a server, and a plurality of production standard data are uploaded to the server, and the server analyzes the standard data, so as to monitor a plurality of production devices at the same time in one server.
In one embodiment, referring to fig. 1 and fig. 2, the method further includes: the classification unit divides the original data group into a plurality of original data according to the content of the original data group, wherein the original data comprises any one or more of yield original data, equipment parameter original data and equipment state original data, the yield original data is used for obtaining yield standard data of the production equipment in a first preset time period, the equipment parameter original data is used for obtaining parameters of the production equipment, and the equipment state original data is used for judging the running state of the production equipment. If the production equipment is a film sticking machine, the working pressure of the film sticking machine, the displacement distance of the mechanical arm and the like can be obtained through equipment parameter standard data; the running state of the film sticking machine can be judged according to the equipment state, and can be a working state, a standby state, a fault state and the like; the film sticking efficiency of the film sticking machine can be obtained through output standard data.
The raw data group is classified into a plurality of raw data by arranging the classification unit, the raw data comprises any one or more of yield raw data, equipment parameter raw data and equipment state raw data, rich information of production equipment can be obtained, meanwhile, standard data are conveniently sorted, and comprehensive monitoring on the production equipment is facilitated.
In one embodiment, referring to FIG. 3, the control software is used to control the operation of the production equipment, and the raw data set is generated by the control software; obtaining in real time an original data set of a production device from an information carrier of the production device, comprising:
acquiring a path of the control software in the computer according to the keyword;
when the path acquisition is successful, data monitoring is started.
Specifically, the data monitoring is started, that is, the original data set of the production equipment is continuously acquired, and the original data set is continuously converted into standard data and recorded. And acquiring a detailed name and a Process Identifier (PID) of the control software through the keyword, and acquiring a full path of the control software through the process identifier. The automatic real-time acquisition of the raw data set of the production device is facilitated by the acquisition of the path of the control software on the computer in order to acquire from the control software the position of the information carrier of the production device.
In one embodiment, referring to fig. 3, when the path acquisition fails, the operation status of the control software is detected every second preset time period to determine whether the control software is operating;
data monitoring is initiated while the control software is running.
Specifically, the second preset time period is 30 seconds, which can be completed by a timer. The control software has a window, wherein a window handle is obtained according to a Process Identifier (PID), and if the window handle is valid, the control software is judged to be running. The running condition of the control software is detected once every second preset time period, so that data monitoring can be started when the control software runs.
In one embodiment, referring to fig. 3, when the path acquisition fails, it is sequentially determined whether to perform the initial update or not and whether to automatically operate. If the software is not updated for the first time and is not automatically operated, the operation condition of the control software is detected once every second preset time interval so as to judge whether the control software is operated. If the updating is the first time, the keyword is not set, so a second error log of 'keyword setting error' is recorded. If the data is not updated for the first time and automatically operated, the data monitoring is directly carried out, the recorded standard data can be ensured to keep continuity, and the data transmission interruption caused by the closing of control software can be avoided. Additionally, a second error log may be uploaded to the server to facilitate monitoring of the production equipment by the server.
In one embodiment, referring to fig. 3, when the control software is not running, the process list of the computer is checked to determine whether a process of the control software exists;
when the process of the control software exists, acquiring a path of the control software in the computer through the process of the control software;
when the process of the control software does not exist, a first error log is recorded.
It can be understood that, when the control software is not running, the process list of the computer is checked, and the process of the control software does not exist, the main control of the production equipment is closed, and a first error log of "the main control is closed" is recorded; and when the process of the control software exists, acquiring the path of the control software in the computer, so that the original data set can be acquired from the path of the control software in the subsequent data monitoring. Additionally, the first error log may be uploaded to a server to facilitate monitoring of the production equipment by the server.
In one embodiment, referring to fig. 3, the method further includes:
and after the data monitoring is started, detecting the running state of the control software every third preset time period so as to judge whether the control software runs. Specifically, the third preset time period is 1 second, which can be completed by a timer. It can be understood that after the data monitoring is started, it cannot be guaranteed that the control software can be operated all the time, and if the control software is killed, the process list of the computer needs to be checked again to determine whether the process of the control software exists.
In one embodiment, referring to fig. 4, the converting the raw data set into the standard data according to the capture rule includes:
judging whether the fault information exists in original data of the equipment state;
and recording fault state standard data when the fault information exists.
Specifically, the fault state standard data can be uploaded to the server so as to monitor the production equipment through the server. Whether the production equipment is in the fault state can be preliminarily judged by judging whether the fault information has the original equipment state data, so that whether the standard fault state data are recorded or the capturing rule is continuously executed is selected.
In one embodiment, referring to fig. 4, when the failure information does not exist, the current first yield criterion data is obtained, and the first yield criterion data is compared with the second yield criterion data before the fourth preset time period;
when there is a difference between the first production standard data and the second production standard data, the first production standard data and the normal operation state standard data are recorded.
Specifically, the fourth preset period may be 1 second, 3 seconds, 10 seconds, or the like. The first production standard data and the normal operating condition standard data may be uploaded to a server to facilitate monitoring of the production equipment by the server. If the normal working state standard data is obtained, the production equipment is in a point inspection state or in a production state, and both the point inspection state and the production state belong to the normal working state of the production equipment. It can be understood that the spot inspection is to inspect the specified part of the production equipment so as to find the hidden trouble of equipment failure early and repair and adjust the equipment timely. By acquiring the current first yield standard data, whether the production equipment is in a normal working state or a standby state can be preliminarily judged.
In one embodiment, referring to fig. 4, when the first yield criterion data is the same as the second yield criterion data, if the operation status of the manufacturing equipment before the fifth predetermined period is the standby status, the standby status criterion data is recorded. Specifically, the fifth preset period may be 1 second, 4 seconds, 7 seconds, or the like. The standby state standard data can be uploaded to the server so as to facilitate monitoring of the production equipment by the server. And acquiring the running state of the production equipment before the fifth preset time period so as to further judge whether the production equipment is in a standby state.
In one embodiment, referring to fig. 4, if the operation status of the production equipment before the fifth preset time period is not in the standby status, it is determined whether the production equipment is manually selected as the standby status;
if the user selects the standby state, recording standard data of the standby state;
if the manual selection is not in the standby state, recording fault state standard data.
Specifically, the standby state standard data or the fault state standard data may be uploaded to the server, so as to monitor the production equipment through the server. It is understood that when the production equipment is in a normal working state and is artificially selected as a standby state, the production equipment will be transferred to the standby state. Therefore, since the operation state of the production equipment before the fifth preset time interval may be a non-standby state (normal operation state), in consideration of the above situation, it is necessary to determine whether the production equipment is manually selected as a standby state, and if the production equipment is manually selected as a standby state, the standby state standard data is recorded; if the selection is not in the standby state, indicating that the production equipment is in the fault state, and recording standard data of the fault state. Similarly, the step of determining whether the spot check state or the in-process production state is performed by determining whether the spot check state is selected. If the spot inspection state is manually selected, recording standard data of the spot inspection state; and if the manual selection is not in the point inspection state, recording the standard data of the normal production state. Whether the production equipment is in the standby state or the fault state is further judged by judging whether the production equipment is artificially selected to be in the standby state or not.
It will be appreciated that FIG. 4 is a flow diagram illustrating the analysis of the calibration data to monitor the manufacturing facility. Through the steps in fig. 4, the real-time operation state of the production equipment can be judged, and the utilization rate of the production equipment can be acquired in real time, which is beneficial to monitoring the automation of the production equipment.
The embodiment of the invention also provides a device for monitoring the production equipment, which can be used for various terminals such as computers, smart phones and the like. The apparatus comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the method provided by the invention. Specifically, the device is electrically connected with production equipment, and control software for controlling the production equipment is located in a memory of the device. The processor may be a Central Processing Unit (CPU), a general purpose processor, a Digital Signal Processor (DSP), an application-specific integrated circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic, hardware components, or any combination thereof. Which may implement or perform the various illustrative logical blocks, templates, and circuits described in connection with the disclosure provided herein. A processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, or a combination of a DSP and a microprocessor.
The memory may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, a programmable read-only memory (EEPROM), a compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (11)
1. A method of monitoring a production facility, comprising:
acquiring an original data set of production equipment in real time from an information carrier of the production equipment, and controlling the production equipment to operate by using control software, wherein the original data set is generated by the control software;
converting the original data set into standard data according to a preset capturing rule;
and analyzing the standard data to monitor the production equipment.
2. The method of claim 1, further comprising:
dividing the original data group into a plurality of original data according to the content of the original data group, wherein the original data comprises any one or more of yield original data, equipment parameter original data and equipment state original data, the yield original data is used for obtaining yield standard data of the production equipment in a first preset time period, the equipment parameter original data is used for obtaining parameters of the production equipment, and the equipment state original data is used for judging the running state of the production equipment.
3. A method as claimed in claim 1 or 2, characterized in that the acquisition of the raw data set of the production device from the information carrier of the production device in real time comprises:
acquiring a path of the control software in the computer according to the keyword;
and when the path is successfully acquired, starting data monitoring.
4. The method of claim 3, wherein when the path acquisition fails, the operating condition of the control software is detected every second preset time period to judge whether the control software is operating;
data monitoring is initiated while the control software is running.
5. The method of claim 4, wherein when the control software is not running, checking a process list of the computer to determine whether a process of the control software exists;
when the process of the control software exists, acquiring a path of the control software in the computer through the process of the control software;
when the process of the control software does not exist, a first error log is recorded.
6. The method of claim 3, further comprising: after data monitoring is started, the running state of the control software is detected once every third preset time period so as to judge whether the control software runs or not.
7. The method of claim 2, wherein converting the raw data set into standard data according to a predetermined capture rule comprises:
judging whether fault information exists in the original data of the equipment state;
and recording fault state standard data when the fault information exists.
8. The method of claim 7, wherein when the failure information does not exist, acquiring current first production criteria data and comparing the first production criteria data with second production criteria data prior to a fourth preset time period;
and when the first yield standard data and the second yield standard data have differences, recording the first yield standard data and the normal working state standard data.
9. The method of claim 8, wherein when the first production criteria data and the second production criteria data are the same, recording standby state criteria data if the operational state of the production facility prior to a fifth predetermined period of time is a standby state.
10. The method of claim 9, wherein if the operation status of the production equipment before the fifth preset time period is not in a standby status, determining whether the production equipment is manually selected to be in the standby status;
if the user selects the standby state, recording the standard data of the standby state;
and if the fault state is not in the standby state, recording the standard data of the fault state.
11. An apparatus for monitoring production equipment, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the method of any one of claims 1 to 10.
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| CN107515796A (en) * | 2017-07-31 | 2017-12-26 | 北京奇安信科技有限公司 | A kind of unit exception monitor processing method and device |
| CN107767015A (en) * | 2017-09-05 | 2018-03-06 | 南京国际船舶设备配件有限公司 | A kind of production system based on MES |
| CN110161942A (en) * | 2019-04-15 | 2019-08-23 | 中山市物语云物联网科技股份有限公司 | Production equipment information real-time monitoring system and method |
| CN110321352A (en) * | 2019-07-05 | 2019-10-11 | 广东利元亨智能装备股份有限公司 | Production line monitoring method, device, electronic equipment and readable storage medium storing program for executing |
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