CN115328036A - Intelligent production line operation management platform - Google Patents
Intelligent production line operation management platform Download PDFInfo
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- CN115328036A CN115328036A CN202210850916.0A CN202210850916A CN115328036A CN 115328036 A CN115328036 A CN 115328036A CN 202210850916 A CN202210850916 A CN 202210850916A CN 115328036 A CN115328036 A CN 115328036A
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- 238000012545 processing Methods 0.000 claims abstract description 38
- 238000004088 simulation Methods 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 25
- 238000011156 evaluation Methods 0.000 claims abstract description 21
- 230000002159 abnormal effect Effects 0.000 claims abstract description 17
- 238000007689 inspection Methods 0.000 claims abstract description 14
- 230000005856 abnormality Effects 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 90
- 238000012423 maintenance Methods 0.000 claims description 15
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000010835 comparative analysis Methods 0.000 claims description 3
- 238000003908 quality control method Methods 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000011179 visual inspection Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000012790 confirmation 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]
- G05B19/41875—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] or 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
- G05B2219/32368—Quality control
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Abstract
The invention provides an intelligent production line operation management platform, which comprises: the system comprises a data acquisition module, a data processing module, an information management module, an abnormality monitoring module, an evaluation module and a mobile terminal; the data acquisition module is used for acquiring the running state data of the production line; the information management module is used for managing the operation of the production line; the data processing module is used for generating a simulation operation picture according to the operation state data and the management information; the abnormity monitoring module is used for monitoring the abnormal conditions in the running process of the production line; the evaluation module is used for evaluating the operating state of the production line; the mobile terminal is used for displaying a simulation running picture, management information, abnormal conditions and evaluation information. The invention can carry out remote on-site inspection through the mobile terminal, combines the production line operation management with enterprise WeChat and realizes the timely feedback and treatment of problems.
Description
Technical Field
The invention belongs to the technical field of operation management, and particularly relates to an intelligent production line operation management platform.
Background
The production line is a route which is passed by the production process of a product, namely a route which is formed by a series of production activities such as processing, conveying, assembling, checking and the like from the time when raw materials enter a production field. The production line is organized according to the principle of objects, and finishes a production organization form of the product technological process, namely, various devices and workers required by the production of certain products (parts and components) are equipped according to the principle of product specialization, and all the manufacturing work of the certain products (parts and components) is finished.
Each section of the production line in the production line may correspond to a process post, and if one process or equipment of one section of the production line fails to stop production, other parts of the production line cannot timely acquire information and make adjustments. Products that have not completed the process operation due to the malfunction of the equipment may flow into the next process, thereby causing defective products. And for equipment maintenance, the method is also a huge challenge, and maintenance personnel need to spend a great deal of time and energy to remove faults, so that the production efficiency is seriously influenced.
At present, the running state monitoring of production line equipment can only be carried out by means of manual visual inspection or a display screen of the equipment. Such as monitoring equipment servo parameters, basic positions of various cylinders, states of various switches, and the like. The operation state monitoring can be carried out in a false or false way through manual visual inspection, the real-time operation state monitoring cannot be realized through manual visual inspection, and the operation state of the production equipment cannot be monitored once an operator leaves a station. The running state monitoring of the production equipment is carried out through the display screen of the equipment, and the equipment also needs to depend on operators, so that the same problems as manual visual inspection exist. The running states of all the equipment cannot be completely displayed on one interface of the display screen of the equipment, comprehensive monitoring cannot be realized, the production cost considered by the display screen of the equipment cannot be very large, the running states of the equipment displayed by the display screen of the equipment are still not visual, only alarm information can be displayed, specific alarm positions cannot be clearly displayed, and further guidance or support cannot be carried out on the alarm information, so that the equipment is down, long-time fault inquiry is needed, the operation of the equipment which is not familiar with the equipment cannot be familiar with the equipment quickly, and a solution can not be made;
in summary, the existing production line operation management has the following problems: the lack of intelligent management, slow speed of fault location and slow production recovery, and the lack of information intercommunication among production lines at all sections leads to the failure of cooperative production at all posts, and the lack of thinking of systematization, cooperative sharing and informatization, which is still not suitable for the industrial development of the day after the day.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent production line operation management platform which is used for carrying out on-site inspection through a mobile terminal, combining production line operation management with enterprise WeChat and realizing timely feedback and processing of problems.
In order to achieve the above object, the present invention provides an intelligent production line operation management platform, comprising: the system comprises a data acquisition module, a data processing module, an information management module, an abnormality monitoring module, an evaluation module and a mobile terminal;
the data acquisition module is used for acquiring the running state data of the production line;
the information management module is used for managing the operation of the production line;
the data processing module is used for generating a simulation operation picture according to the operation state data and the management information;
the abnormity monitoring module is used for monitoring the abnormal conditions in the running process of the production line;
the evaluation module is used for evaluating the operating state of the production line;
the mobile terminal is used for displaying the simulated operation picture, the management information, the abnormal condition and the evaluation information;
the data acquisition module, the data processing module, the information management module and the abnormity monitoring module are sequentially connected with the evaluation module; the mobile terminal is respectively connected with the data processing module, the information management module, the abnormity monitoring module and the evaluation module.
Optionally, the operation state data includes: equipment state data, equipment alarm data, production task data, quality inspection data and warehousing data.
Optionally, the simulation operation screen generated by the data processing module includes: the method comprises the following steps of equipment running state simulation, product circulation process simulation, production capacity simulation, production beat simulation, logistics simulation and producer simulation.
Optionally, the information management module includes: the system comprises a production scheduling management unit, a personnel information management unit, a logistics operation management unit, a quality operation management unit and a maintenance operation management unit;
the production scheduling unit is used for dividing the production tasks of the equipment of the production line according to a production plan, and the production tasks comprise: planning and scheduling production, dispatching production and tracking production;
the personnel information management unit is used for performing work-switching management on the staff, completing the work-switching and changing of on-site groups and shifts, and confirming the staff to go on duty and leave duty;
the logistics operation management unit is used for making a logistics plan according to the production plan and the actual production operation condition, and the logistics plan comprises: inventory job planning, inventory tracking, inventory dispatching and inventory job recording;
the quality operation management unit is used for managing the production quality of the production line products according to preset operation, and the preset operation comprises the following steps: quality control planning, inspection process management, quality tracking and backtracking, quality performance analysis and quality analysis and prediction;
and the maintenance operation management unit is used for maintaining the equipment according to the historical maintenance data and the equipment operation duration of the equipment.
Optionally, the anomaly monitoring module includes: the system comprises an analysis unit, an alarm pushing unit and a knowledge base unit;
the knowledge base unit stores normal production line operation data, historical alarm information, corresponding processing modes and processing modes determined by experts;
the analysis unit is used for carrying out comparative analysis according to the real-time production line operation data and the normal production line operation data to obtain abnormal data conditions;
the alarm pushing unit is used for displaying alarm information on the simulation operation picture according to the abnormal data condition, pushing the alarm information to the mobile terminal, and pushing a historical processing mode and a processing mode determined by an expert through the knowledge base unit when the alarm information is the same as the historical alarm information.
Optionally, the evaluation module comprises a scoring unit and a suggestion pushing unit;
the scoring unit is used for scoring the operation of the production line according to the abnormal conditions and the management information;
the suggestion pushing unit is used for pushing operation information with the grade lower than a preset threshold value to the remote terminal and pushing the corresponding expert management experience to the remote terminal.
Optionally, the information management module further includes: a standard job specification unit; the standard operation standard unit stores operation standards of all production line process steps and is used for training and checking production staff.
Optionally, the mobile terminal includes a mobile phone, a tablet computer or a wireless smart device; the mobile terminal comprises enterprise WeChat which is used for receiving push information of the operation of the production line and sending decision information of the operation of the production line.
Optionally, the mobile terminal is further configured to perform field inspection on the operation of the production line through the simulation operation picture, and trace the source of the product.
Compared with the prior art, the invention has the following advantages and technical effects:
the intelligent production line operation management platform can clearly know the production line condition, timely discover and process abnormal problems in the production process and improve the production efficiency; by collecting the operation data and carrying out picture simulation on the operation data, the method can help production line managers to master the operation data of the equipment in time, display fault nodes in a simulation picture in time when a fault occurs, help the managers to carry out fault treatment through historical experience and expert experience, reduce fault shutdown and reduce direct cost and indirect cost loss caused by equipment maintenance; the remote on-site inspection of managers is realized through the mobile terminal, and the timely feedback and treatment of problems are realized through enterprise WeChat.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a schematic structural diagram of an intelligent production line operation management platform according to embodiment 1 of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example 1
As shown in fig. 1, the present embodiment provides an intelligent production line operation management platform, which includes: the system comprises a data acquisition module, a data processing module, an information management module, an abnormality monitoring module, an evaluation module and a mobile terminal;
the data acquisition module is used for acquiring the running state data of the production line;
the information management module is used for managing the operation of the production line;
the data processing module is used for generating a simulation operation picture according to the operation state data and the management information;
the abnormity monitoring module is used for monitoring the abnormal conditions in the running process of the production line;
the evaluation module is used for evaluating the operating state of the production line;
the mobile terminal is used for displaying the simulated operation picture, the management information, the abnormal condition and the evaluation information;
the data acquisition module, the data processing module, the information management module and the abnormity monitoring module are sequentially connected with the evaluation module; the mobile terminal is respectively connected with the data processing module, the information management module, the abnormity monitoring module and the evaluation module.
Further, the operation state data includes: equipment state data, equipment alarm data, production task data, quality inspection data and warehousing data. In this embodiment, the data of the production line running state is divided into five large blocks, which include monitoring of data of each link of equipment, production, warehouse and quality, and the five large blocks are regarded as visual data and are basic data for production line running management and monitoring. And the data is stored and managed in the production process by adopting a relational database Oracle or Mysql, and the production related data is classified and stored according to the data types to form different databases.
Further, the simulated operation picture generated by the data processing module comprises: the method comprises the steps of simulation of equipment running state, simulation of product circulation process, simulation of production capacity, simulation of production beat, simulation of logistics and simulation of production personnel. In this embodiment, the production line running state is displayed on the remote equipment in a real-time animation simulation mode, so that a user can clearly and quickly know the running condition of the production line, and the user can conveniently check the running condition at any time.
Further, the information management module includes: the system comprises a production scheduling management unit, a personnel information management unit, a logistics operation management unit, a quality operation management unit and a maintenance operation management unit;
the production scheduling unit is used for dividing the production tasks of the equipment of the production line according to a production plan, and the production tasks comprise: planning and scheduling production, dispatching production and tracking production; in the embodiment, production operation management is performed through a production scheduling unit, so that management of issuing, dispatching, starting, completion and the like of production tasks is realized;
the personnel information management unit is used for carrying out the work-switching management of the staff, completing the work-switching and shift-changing of on-site groups and work times, and carrying out the confirmation of the staff arriving at the post and leaving the post; in this embodiment, the staff information management unit manages staff of the production line, so that the working condition of the staff can be clarified, the work of the staff in the production flow steps of the product can be recorded, and data support can be provided for the subsequent product tracing.
The logistics operation management unit is used for making a logistics plan according to the production plan and the actual production operation condition, and the logistics plan comprises: inventory job planning, inventory tracking, inventory dispatching and inventory job recording;
the quality operation management unit is used for managing the production quality of the production line products according to preset operation, and the preset operation comprises the following steps: quality control planning, inspection process management, quality tracking and backtracking, quality performance analysis and quality analysis and prediction; in the embodiment, information management such as a product quality inspection task, task assignment, quality inspection result recording and the like is realized through the quality operation management unit, and data support is provided for product quality analysis;
and the maintenance operation management unit is used for maintaining the equipment according to the historical maintenance data and the equipment operation duration of the equipment. In the embodiment, the fixed maintenance time of the equipment and the information that the maintenance is possibly needed in advance are automatically prompted through the maintenance operation management unit.
The anomaly monitoring module includes: the system comprises an analysis unit, an alarm pushing unit and a knowledge base unit;
the knowledge base unit stores normal production line operation data, historical alarm information, corresponding processing modes and processing modes determined by experts;
the analysis unit is used for carrying out comparative analysis according to the real-time production line operation data and the normal production line operation data to obtain abnormal data conditions;
the alarm pushing unit is used for displaying alarm information on the simulation operation picture according to the abnormal data condition, pushing the alarm information to the mobile terminal, and pushing a historical processing mode and a processing mode determined by an expert through the knowledge base unit when the alarm information is the same as the historical alarm information.
Displaying alarm information on the simulation operation picture, and pushing the alarm information to the remote terminal; when the field production line has a fault in operation, the fault node is also displayed in a simulation picture in real time, so that a manager can clearly know the fault occurring on the field through a remote terminal, and can carry out remote control command through the remote terminal to issue a decision instruction;
when the alarm information is the same as the historical alarm information, the historical processing mode and the processing mode determined by the expert are pushed by the knowledge base unit; through storing historical alarm information and corresponding processing modes, the problem can be solved immediately according to historical experience when the same fault occurs again, the fault processing mode determined by experts in the field can help a user to speed up the fault processing, and a professional reference direction is provided.
Further, the evaluation module comprises a scoring unit and a suggestion pushing unit;
the scoring unit is used for scoring the operation of the production line according to the abnormal conditions and the management information;
the suggestion pushing unit is used for pushing operation information with a score lower than a preset threshold value to the remote terminal and pushing the corresponding expert management experience to the remote terminal. The preset threshold score can be set according to the actual running condition of the production line, links lower than the threshold score in the running process are pushed out, and links with poor running quality in the running process of the production line can be found in time, so that the links can be sorted and improved in advance.
Further, the information management module further includes: a standard job specification unit; the standard operation standard unit stores operation standards of all production line process steps and is used for training and checking production staff.
Further, the mobile terminal comprises a mobile phone, a tablet computer or a wireless intelligent device; the mobile terminal comprises enterprise micro-credits, and the enterprise micro-credits are used for receiving push information of the operation of the production line and sending decision information of the operation of the production line. The problem feedback and processing can be timely and effectively realized through enterprise WeChat, and the problem of slow problem processing is improved.
Furthermore, the mobile terminal is also used for carrying out on-site inspection on the operation of the production line through the simulation operation picture and tracing the source of the product.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. The utility model provides an intelligent production line operation management platform which characterized in that includes: the system comprises a data acquisition module, a data processing module, an information management module, an abnormality monitoring module, an evaluation module and a mobile terminal;
the data acquisition module is used for acquiring the running state data of the production line;
the information management module is used for managing the operation of the production line;
the data processing module is used for generating a simulation operation picture according to the operation state data and the management information;
the abnormity monitoring module is used for monitoring the abnormity condition in the running process of the production line;
the evaluation module is used for evaluating the operating state of the production line;
the mobile terminal is used for displaying the simulated operation picture, the management information, the abnormal condition and the evaluation information;
the data acquisition module, the data processing module, the information management module and the abnormity monitoring module are sequentially connected with the evaluation module; the mobile terminal is respectively connected with the data processing module, the information management module, the abnormity monitoring module and the evaluation module.
2. The intelligent production line operation management platform of claim 1, wherein the operational state data comprises: equipment state data, equipment alarm data, production task data, quality inspection data and warehousing data.
3. The intelligent production line operation management platform of claim 1, wherein the simulated operation screen generated by the data processing module comprises: the method comprises the following steps of equipment running state simulation, product circulation process simulation, production capacity simulation, production beat simulation, logistics simulation and producer simulation.
4. The intelligent production line operation management platform of claim 1, wherein the information management module comprises: the system comprises a production scheduling management unit, a personnel information management unit, a logistics operation management unit, a quality operation management unit and a maintenance operation management unit;
the production scheduling unit is used for dividing production tasks for the equipment of the production line according to a production plan, wherein the production tasks comprise: planning and scheduling production, dispatching production and tracking production;
the personnel information management unit is used for performing work-switching management on the staff, completing the work-switching and changing of on-site groups and shifts, and confirming the staff to go on duty and leave duty;
the logistics operation management unit is used for making a logistics plan according to the production plan and the actual production operation condition, and the logistics plan comprises: inventory job planning, inventory tracking, inventory dispatching and inventory job recording;
the quality operation management unit is used for managing the production quality of the production line products according to preset operation, and the preset operation comprises the following steps: quality control planning, inspection process management, quality tracking and backtracking, quality performance analysis and quality analysis and prediction;
and the maintenance operation management unit is used for maintaining the equipment according to the historical maintenance data and the equipment operation duration of the equipment.
5. The intelligent production line operation management platform of claim 1, wherein the anomaly monitoring module comprises: the system comprises an analysis unit, an alarm pushing unit and a knowledge base unit;
the knowledge base unit stores normal production line operation data, historical alarm information, corresponding processing modes and processing modes determined by experts;
the analysis unit is used for carrying out comparative analysis according to the real-time production line operation data and the normal production line operation data to obtain abnormal data conditions;
the alarm pushing unit is used for displaying alarm information on the simulation operation picture according to the abnormal data condition, pushing the alarm information to the mobile terminal, and pushing a historical processing mode and a processing mode determined by an expert through the knowledge base unit when the alarm information is the same as the historical alarm information.
6. The intelligent production line operation management platform of claim 1, wherein the evaluation module comprises a scoring unit and a suggestion pushing unit;
the scoring unit is used for scoring the operation of the production line according to the abnormal conditions and the management information;
the suggestion pushing unit is used for pushing operation information with the grade lower than a preset threshold value to the remote terminal and pushing the corresponding expert management experience to the remote terminal.
7. The intelligent production line operation management platform of claim 1, wherein the information management module further comprises: a standard job specification unit; the standard operation standard unit stores operation standards of all production line process steps and is used for training and checking production staff.
8. The intelligent production line operation management platform of claim 1, wherein the mobile terminal comprises a mobile phone, a tablet computer or a wireless intelligent device; the mobile terminal comprises enterprise WeChat which is used for receiving push information of the operation of the production line and sending decision information of the operation of the production line.
9. The intelligent production line operation management platform of claim 8, wherein the mobile terminal is further configured to perform on-site inspection on the production line operation through the simulation operation screen and trace the source of the product.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN116300661A (en) * | 2023-05-18 | 2023-06-23 | 青岛宇方机器人工业股份有限公司 | On-site data acquisition system based on Internet of things |
CN116303742A (en) * | 2023-03-17 | 2023-06-23 | 深产发城市产业信息科技(深圳)有限公司 | Full-period digital monitoring method for patch area based on big data and Internet of things |
CN116468335A (en) * | 2023-06-19 | 2023-07-21 | 山东新原色纸业有限公司 | Quality monitoring system for gum dipping paper production |
CN117611103A (en) * | 2023-12-18 | 2024-02-27 | 广州春晓信息科技有限公司 | Data acquisition and analysis method and device based on 5G technology |
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2022
- 2022-07-19 CN CN202210850916.0A patent/CN115328036A/en active Pending
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN116303742A (en) * | 2023-03-17 | 2023-06-23 | 深产发城市产业信息科技(深圳)有限公司 | Full-period digital monitoring method for patch area based on big data and Internet of things |
CN116303742B (en) * | 2023-03-17 | 2023-09-19 | 深产发城市产业信息科技(深圳)有限公司 | Full-period digital monitoring method for patch area based on big data and Internet of things |
CN116300661A (en) * | 2023-05-18 | 2023-06-23 | 青岛宇方机器人工业股份有限公司 | On-site data acquisition system based on Internet of things |
CN116300661B (en) * | 2023-05-18 | 2023-08-01 | 青岛宇方机器人工业股份有限公司 | On-site data acquisition system based on Internet of things |
CN116468335A (en) * | 2023-06-19 | 2023-07-21 | 山东新原色纸业有限公司 | Quality monitoring system for gum dipping paper production |
CN117611103A (en) * | 2023-12-18 | 2024-02-27 | 广州春晓信息科技有限公司 | Data acquisition and analysis method and device based on 5G technology |
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