CN109976269B - Method for monitoring manufacturing execution process information of rolling and packing workshop - Google Patents
Method for monitoring manufacturing execution process information of rolling and packing workshop Download PDFInfo
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- CN109976269B CN109976269B CN201910133686.4A CN201910133686A CN109976269B CN 109976269 B CN109976269 B CN 109976269B CN 201910133686 A CN201910133686 A CN 201910133686A CN 109976269 B CN109976269 B CN 109976269B
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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]
- G05B19/41875—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 quality surveillance of production
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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
- G05B2219/32204—Performance assurance; assure certain level of non-defective products
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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
The invention relates to a method for monitoring information in a manufacturing execution process of a rolling and packing workshop, which comprises information monitoring in a shift-by-shift stage and information monitoring in a special time period in an information monitoring production process in a normal production process. This technical scheme is from the normal production process in rolling up and packing workshop, the process of handing over to work, the whole production processes such as period carry out comprehensive check-up to the manufacturing execution condition in the operating personnel production process during special production, the artificial supervision mode of simulation is realized to the mode through information supervision and information sharing, can be high-efficient, comprehensive, accurately to whole production workshop production facility, the operation process, quality data etc. carry out real time monitoring, this kind of high-efficient and real-time management and control mode provides convenient to rolling up and packing workshop quality management and control and personnel management and control, and can in time concentrate on the quality management activity in advance prevention, the control stage in fact.
Description
Technical Field
The invention belongs to the technical field of cigarette production control, and particularly relates to a method for supervising manufacturing execution process information of a cigarette packing workshop.
Background
At present, under the background of industry 4.0, each cigarette factory carries out two-step integration work in sequence to develop a (MES) manufacturing execution system, the business of each post personnel in a wrapping workshop is operated on the system, and the contents of a work book, a quality process self-checking record, an equipment point checking record, a lubricating record and the like which are filled with paper are informationized. The management personnel check the filling condition of the paper edition and search the PC terminal, thereby improving certain working efficiency. However, because the number of production equipment is large, the amount of information generated in the production process is large, the checking and monitoring workload of related managers is large, and the related managers can repeatedly work every day, so that the working efficiency is greatly restricted.
In the production process of a rolling and packing workshop, the production modes of units are similar, the production work is repeated every day, production execution information and quality data information are stored in a stable database system, the state information of production equipment can be acquired through a webserver data interface, the data are supervised by acquiring the data through an informatization means, and abnormal information sharing is carried out through a mode of pushing a mobile terminal.
Disclosure of Invention
The invention aims to solve the problem that the manual inspection and supervision process of a rolling and packing workshop is large in workload and works repeatedly, and the working efficiency is restricted.
The invention is realized by the following technical scheme:
a method for supervising information in a manufacturing execution process of a coil packaging workshop comprises information supervision in a shift-by-shift stage and information supervision in a normal production process;
the information supervision of the shift-switching stage comprises the following steps:
performing equipment point inspection, duty-change quality inspection, duty-change auxiliary material inspection and detection validity verification and submitting related records;
and acquiring data submitted to the database within second set time from the database within first set time, verifying whether specified execution data is stored according to the first data verification model, and if yes:
judging whether the executed data contains unqualified information or not, if not, judging that the verification is normal, and performing next circulation; if the information comprises unqualified information, generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
if not: generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
the information supervision in the normal production process comprises the following steps:
whether the equipment is in a normal production state or not is concerned in real time, yield information is obtained from the database within third set time, and due quality self-checking execution times are calculated;
acquiring real-time equipment state data from the data interface within fourth set time; and judging whether specified execution data exist according to the second data verification model, if so:
judging whether the executed data contains unqualified information or not, if not, judging that the verification is normal, and performing next circulation; if the information comprises unqualified information, generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
if not: and generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result.
The equipment point inspection is to judge whether the equipment is in a normal production state one by one and store the state information in a database.
The related records comprise inspection time, inspection items, inspection results, and information of the units or personnel.
The first data verification model at least comprises equipment point inspection data, shift quality inspection data, shift auxiliary material inspection data and detection validity verification data.
The second set time is the same as the third set time.
The equipment state data comprises equipment parameter data, detection equipment rejection data or parameter modification record data.
The second data verification model at least comprises quality self-checking execution time data, real-time equipment parameter data, equipment rejection data, detection equipment rejection data and physical index data of the comprehensive test bench.
The method comprises the following steps of monitoring information in a special time period in the production process:
at every fifth set time, acquiring data information from the database, and judging whether the data information contains data information in a special time period, if so: judging whether the data information containing the special time interval contains the information for executing the specified check, if so,
judging whether the data in the special time period contains unqualified information, if not, judging that the data is normally checked to enter the next cycle, if so, generating a feedback result and pushing the feedback result to a terminal, and after receiving the feedback result, a manager intervenes in the processing;
and if not, generating a feedback result and pushing the feedback result to the terminal, and performing intervention processing after the management personnel receives the feedback result.
The information of the special time period at least comprises grade switching information, information that the shutdown exceeds sixth set time, auxiliary material feeding information or shift production information.
The terminal comprises a mobile phone terminal.
The invention has the beneficial effects that:
according to the technical scheme, the manufacturing execution condition of the operator in the production process is comprehensively checked from the whole production processes such as the normal production process, the shift switching process and the special production time period of the coil packaging workshop, the artificial supervision mode is simulated in an information supervision and information sharing mode, and the production equipment, the operation process, the quality data and the like of the whole production workshop can be efficiently, comprehensively and accurately monitored in real time.
On the other hand, the efficient and real-time management and control mode provides convenience for quality management and control and personnel management and control of the wrapping workshop, and quality management activities can be concentrated in the stage of prevention and control in advance in time.
Drawings
FIG. 1 is a schematic diagram of a shift-to-shift production execution supervision model;
FIG. 2 is a schematic diagram of an execution supervision model during production;
FIG. 3 is a schematic diagram of a special time period production execution supervision model.
Description of reference numerals:
1 a first data verification model, 2 a second data verification model.
Detailed Description
The technical solutions of the present invention are described in detail below by examples, and the following examples are only exemplary and can be used only for explaining and explaining the technical solutions of the present invention, but not construed as limiting the technical solutions of the present invention.
In the application, the manufacturing process of the coil packaging workshop mainly comprises three stages, namely a shift stage, a normal production stage and a special time period in the production process.
A method for monitoring information in a manufacturing execution process of a coil packaging workshop comprises three parts of information monitoring in a shift-by-shift stage, information monitoring in a normal production process and information monitoring in a special time period in the production process.
As shown in fig. 1, the information administration of the shift-over phase includes:
performing equipment point inspection, duty-change quality inspection, duty-change auxiliary material inspection and detection validity verification and submitting related records; the records include information such as inspection time, inspection items, inspection results, units and personnel. If the production is performed continuously in four shifts, the shift time is 00:00, 06:00, 12:00, 18:00, and in this embodiment, the shift time period is set to the first set time.
The equipment point inspection is to judge whether the equipment is in a normal production state one by one and store the state information in an MES database.
In the embodiment, the selected time duration is 10 minutes within the first set time, and other time durations can be set as required, the data submitted to the database within the second set time (20 minutes after the shift) is acquired from the database, and whether the specified execution data is stored or not is verified according to the first data verification model 1, if yes:
judging whether the executed data contains unqualified information or not, if not, judging that the verification is normal, and performing next circulation; if the information comprises unqualified information, generating a feedback result and pushing the feedback result to a mobile phone terminal, and performing intervention processing after a manager receives the feedback result;
if not: generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
the first data verification model 1 at least comprises equipment point inspection data, shift quality inspection data, shift auxiliary material inspection data and detection validity verification data.
As shown in fig. 2, the information supervision in the normal production process includes:
in the normal production process and the normal production process of a rolling and packing workshop, an operator needs to execute production process self-checking every 20 minutes, execute physical index test data every 60 minutes, pay attention to whether equipment is in a normal production state in real time, acquire yield information from a database within 20 minutes and calculate the corresponding quality self-checking execution times.
Acquiring real-time equipment state data from a webserver data interface within two minutes; the equipment state data comprises parameter data of the equipment, detection equipment rejection data or parameter modification record data.
And judging whether the data executed in a specified way exist according to the second data verification model 2, if so:
judging whether the executed data contains unqualified information or not, if not, judging that the verification is normal, and performing next circulation; if the information comprises unqualified information, generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
if not: and generating a feedback result and pushing the feedback result to a mobile phone terminal, and performing intervention processing after a manager receives the feedback result.
The second data verification model 2 at least comprises quality self-checking execution time data, real-time equipment parameter data, equipment rejection data, detection equipment rejection data and physical index data of the comprehensive test bench.
As shown in fig. 3, the information supervision including a special period in the production process includes the following steps:
when the production process is switched, the machine is stopped for more than half an hour, and the auxiliary materials are fed, the production on duty and other special time periods need to be checked according to the regulations.
Acquiring data information from an MES database at every two minutes, judging whether the data information contains data information in a special time period, and if the data information contains: judging whether the data information containing the special time interval contains the specified information for executing the check, if so,
judging whether the data in the special time period contains unqualified information, if not, judging that the data is normally checked to enter the next cycle, if so, generating a feedback result and pushing the feedback result to a mobile phone terminal, and after receiving the feedback result, a manager intervenes in processing;
and if not, generating a feedback result and pushing the feedback result to the terminal, and performing intervention processing after the management personnel receives the feedback result.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A method for supervising information in a manufacturing execution process of a coil packaging workshop is characterized by comprising information supervision in a shift-by-shift stage and information supervision in a normal production process;
the information supervision of the shift-switching stage comprises the following steps:
performing equipment point inspection, duty-change quality inspection, duty-change auxiliary material inspection and detection validity verification and submitting related records;
and acquiring data submitted to the database within second set time from the database within first set time, verifying whether specified execution data is stored according to the first data verification model, and if yes:
judging whether the executed data contains unqualified information or not, if not, judging that the verification is normal, and performing next circulation; if the information comprises unqualified information, generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
if not: generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
the information supervision in the normal production process comprises the following steps:
whether the equipment is in a normal production state or not is concerned in real time, yield information is obtained from the database within third set time, and due quality self-checking execution times are calculated;
acquiring real-time equipment state data from the data interface within fourth set time; and judging whether specified execution data exist according to the second data verification model, if so:
judging whether the executed data contains unqualified information or not, if not, judging that the verification is normal, and performing next circulation; if the information comprises unqualified information, generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
if not: generating a feedback result and pushing the feedback result to a terminal, and performing intervention processing after a manager receives the feedback result;
the first data verification model at least comprises equipment point inspection data, shift quality inspection data, shift auxiliary material inspection data and detection validity verification data;
the second data verification model at least comprises quality self-checking execution time data, real-time equipment parameter data, equipment rejection data, detection equipment rejection data and physical index data of the comprehensive test bench.
2. The method for performing supervision of process information in a bale workshop manufacturing according to claim 1, wherein the equipment point checks to determine whether the equipment point is in a normal production state or not by equipment-by-equipment, and stores the state information in a database.
3. The method of claim 1, wherein the associated records include inspection time, inspection items, inspection results, crew or personnel information.
4. The method of claim 1, wherein the second set time is the same as the third set time.
5. The method for performing process information oversight in a bale workshop manufacturing according to claim 1, wherein the equipment status data includes equipment parameter data, equipment reject data or parameter modification record data.
6. The method for performing process information supervision in a bale workshop manufacturing according to any of claims 1-5, characterized in that the supervision of information for a specific period of time in the production process is included, comprising the following steps:
at every fifth set time, acquiring data information from the database, and judging whether the data information contains data information in a special time period, if so: judging whether the data information containing the special time interval contains the information for executing the specified check, if so,
judging whether the data in the special time period contains unqualified information, if not, judging that the data is normally checked to enter the next cycle, if so, generating a feedback result and pushing the feedback result to a terminal, and after receiving the feedback result, a manager intervenes in the processing;
and if not, generating a feedback result and pushing the feedback result to the terminal, and performing intervention processing after the management personnel receives the feedback result.
7. The method for performing process information monitoring in bale shop manufacturing according to claim 6, wherein said information of specific time period comprises at least grade switch information, information of shutdown exceeding sixth setting time, information of auxiliary material feeding or information of production on duty.
8. The method for performing process information oversight in bale shop manufacturing according to claim 1, wherein said terminal comprises a cell phone terminal.
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| CN201910133686.4A CN109976269B (en) | 2019-02-22 | 2019-02-22 | Method for monitoring manufacturing execution process information of rolling and packing workshop |
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| CN201910133686.4A CN109976269B (en) | 2019-02-22 | 2019-02-22 | Method for monitoring manufacturing execution process information of rolling and packing workshop |
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| CN111238559A (en) * | 2020-02-27 | 2020-06-05 | 四川中烟工业有限责任公司 | State monitoring system for on-line detection equipment of rolling and packing workshop |
Citations (4)
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| CN103569421A (en) * | 2012-08-07 | 2014-02-12 | 厦门烟草工业有限责任公司 | Data collection and analysis device for cigarette packing machine |
| CN105894308A (en) * | 2016-04-08 | 2016-08-24 | 浙江中烟工业有限责任公司 | On-line cigarette technology quality analysis and traceability system |
| CN107942966A (en) * | 2017-11-06 | 2018-04-20 | 沈机（上海）智能系统研发设计有限公司 | Production information management system, numerically-controlled machine tool and production management system |
| CN108229913A (en) * | 2017-12-29 | 2018-06-29 | 成都中建材光电材料有限公司 | Factory's manufacturing execution system based on mobile terminal |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003177815A (en) * | 2001-12-07 | 2003-06-27 | Komatsu Ltd | Maintenance system for industrial machine |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103569421A (en) * | 2012-08-07 | 2014-02-12 | 厦门烟草工业有限责任公司 | Data collection and analysis device for cigarette packing machine |
| CN105894308A (en) * | 2016-04-08 | 2016-08-24 | 浙江中烟工业有限责任公司 | On-line cigarette technology quality analysis and traceability system |
| CN107942966A (en) * | 2017-11-06 | 2018-04-20 | 沈机（上海）智能系统研发设计有限公司 | Production information management system, numerically-controlled machine tool and production management system |
| CN108229913A (en) * | 2017-12-29 | 2018-06-29 | 成都中建材光电材料有限公司 | Factory's manufacturing execution system based on mobile terminal |
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Inventor after: Zhu Zhengyun Inventor after: Zhu Zhiyuan Inventor after: Guo Ruichuan Inventor after: Sun Chengshun Inventor after: Kong Weixi Inventor after: Li Ming Inventor after: Liu Chen Inventor after: Peng Guoshi Inventor after: Ao Mao Inventor after: He Chao Inventor after: Qian Zhou Inventor before: Zhu Zhengyun Inventor before: Guo Ruichuan Inventor before: Kong Weixi Inventor before: Li Ming Inventor before: Liu Chen Inventor before: Peng Guoshi Inventor before: Ao Mao Inventor before: He Chao Inventor before: Qian Zhou Inventor before: Zhu Zhiyuan |
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