CN110880067A - Intelligent manufacturing laboratory management system - Google Patents
Intelligent manufacturing laboratory management system Download PDFInfo
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- CN110880067A CN110880067A CN201911084079.XA CN201911084079A CN110880067A CN 110880067 A CN110880067 A CN 110880067A CN 201911084079 A CN201911084079 A CN 201911084079A CN 110880067 A CN110880067 A CN 110880067A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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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
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses an intelligent manufacturing experiment platform management system, which comprises a basic data management module, an inventory management module, an order management module, a production process management module, an equipment management module and a quality management module, wherein the basic data management module comprises user management, warehouse position definition, production process route formulation and inventory early warning quantity setting; the inventory management module is used for executing the warehousing-out and warehousing and inventory early warning operation according to the warehousing-in and warehousing plan of the products and the raw materials, recording the warehousing-out and warehousing information of the materials and updating the inventory; the order management module is used for executing production order management; the production process management module is used for being responsible for tracking the production process; the equipment management module is used for recording equipment use and maintenance conditions; the quality management module is used for recording and counting whether the product quality information is qualified or not in the production process and displaying the product quality information in a chart mode. The invention realizes informatization and intellectualization of the manufacturing process of the experiment platform.
Description
Technical Field
The invention belongs to the information management technology, and particularly relates to an intelligent manufacturing laboratory management system.
Background
A traditional manufacturing laboratory usually focuses on a certain link of production and manufacturing, and the automation degree of the production process is not high. The laboratory structure and system design mainly have the following problems: firstly, the laboratory only relates to the practice of one manufacturing process, the continuity of the whole manufacturing process is not well reflected, teaching and research personnel are required to mechanically guide the operation process, and the laboratory teaching in the mode is time-consuming and labor-consuming and has weak subsequent reverberation. Secondly, production information is easy to lag because good communication is not realized among devices in a laboratory. Then, some useful production data cannot be represented digitally. Finally, there is no good maintenance schedule for laboratory equipment.
Disclosure of Invention
The invention aims to provide an intelligent manufacturing laboratory management system.
The technical solution for realizing the purpose of the invention is as follows: an intelligent manufacturing laboratory management system comprises a basic data management module, an inventory management module, an order management module, a production process management module, an equipment management module and a quality management module, wherein the basic data management module comprises user management, warehouse position definition, production process route formulation and inventory early warning quantity setting; the inventory management module is used for executing warehousing and ex-warehousing and inventory early warning operations according to warehousing and ex-warehousing plans of products and raw materials, recording warehousing and ex-warehousing information of materials and updating inventory; the order management module is used for executing production order management, including order information input, order issuing, warehouse-out preparation list generation and order recovery; the production process management module is used for tracking the production process, and comprises production progress inquiry, production process visualization and production abnormal process popup indication; the equipment management module is used for recording equipment use and maintenance conditions; the quality management module is used for recording and counting whether the product quality information is qualified or not in the production process and displaying the product quality information in a chart mode.
Preferably, the inventory management module records the information of material entering and exiting the warehouse, and the specific process of updating the inventory is as follows: receiving an in-out warehouse command, reading information of products and raw material labels by an RFID reader-writer, inquiring corresponding raw material or finished product warehouse location information by using the read information, and recording corresponding in-out warehouse records according to an in-out warehouse plan.
Preferably, the specific process of the order management module for managing the production order of the experiment platform is as follows: after order information is input, generating a warehouse-out preparation list, issuing a corresponding order to the production process management module, and if the inventory is sufficient, successfully issuing; otherwise, prompting that the stock is insufficient and the goods are to be replenished.
Preferably, the tracking of the production process by the production process management module is specifically that: RFID card readers arranged at different stations record the states of products circulating to the stations, so that the production progress can be obtained during the inquiry of the production progress; if the production is abnormal, prompting the order recovery to be abandoned or continuing the production process after the fault treatment is finished; the production process is checked in real time through field monitoring.
Preferably, the method for judging whether the image definition is qualified or not comprises the following steps: and (3) segmenting the pictures to be compared, respectively carrying out difference calculation on the similarity and the gray value of the pictures, comparing the difference calculation result with a preset threshold value, and if the difference calculation result is greater than the threshold value, determining that the image freshness is qualified.
Preferably, the product quality information comprises image definition and card information entry accuracy.
Preferably, the quality management module performs statistics on product quality information in the production process, specifically: according to whether the product quality information is qualified or not, counting the product correspondence as a qualified product, an unqualified station and an unqualified batch, and generating a quality statistical report, a visual histogram and a pie chart.
Compared with the prior art, the invention has the following remarkable advantages: 1) the invention realizes the intelligent management of the whole production and manufacturing process, improves the production tracking of the manufacturing process, can select the pre-established process route according to the order condition and improves the coordination of the system to the production process; 2) the invention realizes the real-time communication among equipment systems in a laboratory, and ensures the real-time control of a management system on the production process; 3) the invention uses RFID technology and image processing technology to realize the integration and leading of the production process by using the technology of the Internet of things, and improves the automation degree of the manufacturing process.
The present invention is described in further detail below with reference to the attached drawings.
Drawings
FIG. 1 is an architectural diagram of the present invention.
FIG. 2 is a flow chart of the product delivery.
Fig. 3 is a flowchart of image detection.
Fig. 4 is a flow chart of the packaging operation.
Detailed Description
Referring to fig. 1, an intelligent manufacturing laboratory management system includes a basic data management module, an inventory management module, an order management module, a production process management module, an equipment management module, and a quality management module, where the basic data management module includes user management, warehouse location definition, production process route formulation, and inventory early warning quantity setting; the inventory management module is used for executing warehousing and ex-warehousing and inventory early warning operations according to warehousing and ex-warehousing plans of products and raw materials, recording warehousing and ex-warehousing information of materials and updating inventory; the order management module is used for executing production order management, including order information input, order issuing, warehouse-out preparation list generation and order recovery; the production process management module is used for tracking the production process, and comprises production progress inquiry, production process visualization and production abnormal process popup indication; the equipment management module is used for recording equipment use and maintenance conditions; the quality management module is used for recording and counting whether the product quality information is qualified or not in the production process and displaying the product quality information in a chart mode.
In a further embodiment, the inventory management module records the information of material entering and exiting the warehouse, and the specific process of updating the inventory is as follows: receiving an in-out warehouse command, reading information of products and raw material labels by an RFID reader-writer, inquiring corresponding raw material or finished product warehouse location information by using the read information, and recording corresponding in-out warehouse records according to an in-out warehouse plan.
In a further embodiment, the specific process of the order management module for managing the production order of the experiment platform is as follows: after order information is input, generating a warehouse-out preparation list, issuing a corresponding order to the production process management module, and if the inventory is sufficient, successfully issuing; otherwise, prompting that the stock is insufficient and the goods are to be replenished.
In a further embodiment, the tracking of the production process by the production process management module specifically includes: RFID card readers arranged at different stations record the states of products circulating to the stations, so that the production progress can be obtained during the inquiry of the production progress; if the production is abnormal, prompting the order recovery to be abandoned or continuing the production process after the fault treatment is finished; the production process is checked in real time through field monitoring.
In a further embodiment, the method for determining whether the image definition is qualified or not includes: and (3) segmenting the pictures to be compared, respectively carrying out difference calculation on the similarity and the gray value of the pictures, comparing the difference calculation result with a preset threshold value, and if the difference calculation result is greater than the threshold value, determining that the image freshness is qualified.
In a further embodiment, the product quality information comprises image definition and card information entry accuracy.
In a further embodiment, the quality management module performs statistics on product quality information in a production process, specifically: according to whether the product quality information is qualified or not, counting the product correspondence as a qualified product, an unqualified station and an unqualified batch, and generating a quality statistical report, a visual histogram and a pie chart.
As shown in fig. 2, the raw material ex-warehouse process specifically comprises: the order management module is connected with the inventory management module, sends information to the inventory management module according to the quantity of products in the order information, and sends out an ex-warehouse instruction of raw materials by combining the current goods position state and the inventory information, namely, the inventory management module replaces the material position information. The AGV upper computer receives the warehouse-out instruction and informs the warehouse to call the mechanical arm and the RFID, the mechanical arm finishes material taking according to the warehouse location information, the RFID reads and writes corresponding warehouse location label information, the information is fed back to the inventory management module, and the AGV trolley is used for finishing warehouse-out.
As shown in fig. 3, the pattern detection process is: the production tracking module sends a detection instruction to the industrial personal computer when the production progress reaches a detection station, the industrial personal computer calls the card reader and the camera equipment after receiving the instruction, card information is read, the definition of a pattern is detected by taking a picture, and the detected data information is transmitted to the quality management module.
As shown in fig. 4, the finished product warehousing process is: the production tracking module is connected with the order management module, when production is carried out to the last station, the production tracking module sends an inquiry instruction, the order management module receives and inquires whether the order is completed or not, if the order is completed, the inventory management module sends a warehousing instruction, the AGV and the mechanical arm are called, after warehousing operation is completed, the RFID reader-writer reads label information and transmits the label information to the inventory management module, and warehousing operation is completed.
Claims (7)
1. An intelligent manufacturing laboratory management system is characterized by comprising a basic data management module, an inventory management module, an order management module, a production process management module, an equipment management module and a quality management module, wherein the basic data management module comprises user management, warehouse position definition, production process route formulation and inventory early warning quantity setting; the inventory management module is used for executing warehousing and ex-warehousing and inventory early warning operations according to warehousing and ex-warehousing plans of products and raw materials, recording warehousing and ex-warehousing information of materials and updating inventory; the order management module is used for executing production order management, including order information input, order issuing, warehouse-out preparation list generation and order recovery; the production process management module is used for tracking the production process, and comprises production progress inquiry, production process visualization and production abnormal process popup indication; the equipment management module is used for recording equipment use and maintenance conditions; the quality management module is used for recording and counting whether the product quality information is qualified or not in the production process and displaying the product quality information in a chart mode.
2. The intelligent manufacturing laboratory management system according to claim 1, wherein the inventory management module records the material in and out information, and the specific process of updating the inventory amount is as follows: receiving an in-out warehouse command, reading information of products and raw material labels by an RFID reader-writer, inquiring corresponding raw material or finished product warehouse location information by using the read information, and recording corresponding in-out warehouse records according to an in-out warehouse plan.
3. The intelligent manufacturing laboratory management system according to claim 1, wherein the specific process of the order management module for managing the production order of the experiment platform comprises: after order information is input, generating a warehouse-out preparation list, issuing a corresponding order to the production process management module, and if the inventory is sufficient, successfully issuing; otherwise, prompting that the stock is insufficient and the goods are to be replenished.
4. The intelligent manufacturing laboratory management system according to claim 1, wherein said production process management module tracks the production process by: RFID card readers arranged at different stations record the states of products circulating to the stations, so that the production progress can be obtained during the inquiry of the production progress; if the production is abnormal, prompting the order recovery to be abandoned or continuing the production process after the fault treatment is finished; the production process is checked in real time through field monitoring.
5. The intelligent manufacturing laboratory management system according to claim 1, wherein the method for judging whether the image definition is acceptable or not is: and (3) segmenting the pictures to be compared, respectively carrying out difference calculation on the similarity and the gray value of the pictures, comparing the difference calculation result with a preset threshold value, and if the difference calculation result is greater than the threshold value, determining that the image freshness is qualified.
6. The intelligent manufacturing laboratory management system of claim 1 wherein product quality information comprises image sharpness, card information entry accuracy.
7. The intelligent manufacturing laboratory management system of claim 1, wherein the quality management module performs statistics on product quality information in the production process, specifically: according to whether the product quality information is qualified or not, counting the product correspondence as a qualified product, an unqualified station and an unqualified batch, and generating a quality statistical report, a visual histogram and a pie chart.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911084079.XA CN110880067A (en) | 2019-11-07 | 2019-11-07 | Intelligent manufacturing laboratory management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911084079.XA CN110880067A (en) | 2019-11-07 | 2019-11-07 | Intelligent manufacturing laboratory management system |
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| CN110880067A true CN110880067A (en) | 2020-03-13 |
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| CN201911084079.XA Withdrawn CN110880067A (en) | 2019-11-07 | 2019-11-07 | Intelligent manufacturing laboratory management system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915410A (en) * | 2020-08-12 | 2020-11-10 | 暨南大学 | Intelligent management and control system for high-dynamic production logistics process |
| CN112101701A (en) * | 2020-07-28 | 2020-12-18 | 重庆华森制药股份有限公司 | Intelligent manufacturing system and manufacturing method for producing polyethylene glycol electrolyte powder |
| CN112418679A (en) * | 2020-11-25 | 2021-02-26 | 上海艾康特医疗科技有限公司 | Order production management system for contact lenses |
| CN112884419A (en) * | 2021-03-31 | 2021-06-01 | 广东汇芯半导体有限公司 | Management system of intelligent power module production workshop |
| CN116562606A (en) * | 2023-05-08 | 2023-08-08 | 北京华农农业工程技术有限公司 | Park management informatization system |
-
2019
- 2019-11-07 CN CN201911084079.XA patent/CN110880067A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112101701A (en) * | 2020-07-28 | 2020-12-18 | 重庆华森制药股份有限公司 | Intelligent manufacturing system and manufacturing method for producing polyethylene glycol electrolyte powder |
| CN111915410A (en) * | 2020-08-12 | 2020-11-10 | 暨南大学 | Intelligent management and control system for high-dynamic production logistics process |
| CN112418679A (en) * | 2020-11-25 | 2021-02-26 | 上海艾康特医疗科技有限公司 | Order production management system for contact lenses |
| CN112884419A (en) * | 2021-03-31 | 2021-06-01 | 广东汇芯半导体有限公司 | Management system of intelligent power module production workshop |
| CN116562606A (en) * | 2023-05-08 | 2023-08-08 | 北京华农农业工程技术有限公司 | Park management informatization system |
| CN116562606B (en) * | 2023-05-08 | 2023-10-13 | 北京华农农业工程技术有限公司 | Park management informatization system |
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Application publication date: 20200313 |
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| WW01 | Invention patent application withdrawn after publication |