CN112818716B - Intelligent operation staring and controlling visual management system - Google Patents
Intelligent operation staring and controlling visual management system Download PDFInfo
- Publication number
- CN112818716B CN112818716B CN202110059011.7A CN202110059011A CN112818716B CN 112818716 B CN112818716 B CN 112818716B CN 202110059011 A CN202110059011 A CN 202110059011A CN 112818716 B CN112818716 B CN 112818716B
- Authority
- CN
- China
- Prior art keywords
- module
- processing
- data
- monitoring module
- visual display
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10861—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
-
- 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
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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
- G06Q10/20—Administration of product repair or maintenance
-
- 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
-
- 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 operation staring and controlling visual management system which is applied to a processing line and comprises an integrated central control platform (1), a plurality of sensing detection modules (2), a movable auxiliary detection end (3) and an abnormity alarm center (4); the integrated central control platform (1) is respectively in data communication connection with the plurality of sensing detection modules (2), the movable auxiliary detection end (3) and the abnormity alarm center (4) to realize data communication and operation control; according to the intelligent operation staring and controlling visual management system and the management method, a mode of combining big data calculation is adopted, so that emphasis display and emphasis attention are given, the arrangement of monitoring sensing equipment can be reduced, and the intelligent management efficiency and the monitoring cost are improved.
Description
Technical Field
The invention relates to the technical field of process monitoring, in particular to an intelligent operation staring and controlling visual management system and a management method.
Background
In modern industrial assembly line processing, products are usually processed from the starting point of the assembly line, then each piece of processing equipment of the assembly line processing technology is processed, and finally the products are processed to form product output. In order to realize more intelligent and automatic pipeline management, monitoring equipment is also adopted at present for monitoring, for example, a video sensing mode is adopted to obtain pictures or videos of a processing flow, and generally only simple monitoring can be performed; such as:
patent CN111163286A discloses a panoramic monitoring system based on mixed reality and video intelligent analysis technology, discloses an atomic layer deposition equipment, and this atomic layer deposition equipment includes: a transfer chamber; a pre-cleaning chamber, a heat treatment chamber, a loading locking chamber and a plurality of reaction chambers which are respectively communicated with the conveying chamber; a front end module in communication with the load lock chamber; wherein an atomic layer is deposited on a surface of a substrate via reaction of process gases in the plurality of reaction chambers; the transfer chamber is equipped with a robot therein for transferring substrates between the transfer chamber and the pre-clean chamber, the thermal process chamber, the load lock chamber, and the plurality of reaction chambers; the front end module is configured to automatically transfer substrates with the load lock chamber. Because the ald reaction is slow and time-consuming, the bottleneck of productivity is mainly in the reaction chamber. The processing efficiency of the transfer chamber, pre-clean chamber, thermal process chamber, load lock chamber, etc. far exceeds that of the reaction chamber. By combining a set of transfer chambers, pre-clean chambers, thermal processing chambers, load lock chambers, and multiple reaction chambers, the throughput can be increased while the equipment cost can be reduced. According to some embodiments of the present invention, by staggering the work cycle of each reaction chamber, the loading or unloading of one reaction chamber can be performed in the reaction cycle of another reaction chamber, thereby saving the waiting time and further improving the production efficiency.
CN103530757a discloses a network-based multi-mode intelligent order-following management method and system, aspects of the present invention include a method and apparatus for processing substrates using a multi-chamber processing system (e.g., a cluster tool) adapted to process substrates in one or more batch and/or single substrate processing chambers to increase the throughput of the system. In one embodiment, a system is configured to perform a substrate processing sequence that includes batch processing chambers only, or batch and single substrate processing chambers, to optimize throughput and minimize processing defects. In one embodiment, a batch processing chamber is used to increase system throughput by performing a process recipe step therein that is particularly lengthy compared to other process recipe steps in the substrate processing sequence. Aspects of the invention also include an apparatus and method for delivering precursors to a process chamber so that an ALD (atomic layer deposition) or CVD (chemical vapor deposition) deposition process can be repeatedly performed; there remains a high need for systems, methods, and apparatus that are capable of processing substrates to meet desired device performance goals and increase system throughput, thereby reducing the process recipe COO.
The patent CN105550835a discloses an internet + technology-based product processing and distribution informatization management system model, the construction method of which includes a unit module interacting with customers, a service (production and distribution) execution unit module, and a customer opinion feedback unit module, and the 3 unit modules are integrated into a management system. Raw material purchasing, processing and distribution plans can be automatically generated, whole-process monitoring and early warning of each key service node can be realized, redundant inventory in a link is greatly reduced, and capital occupation is reduced; meanwhile, the method realizes quick chain response to abnormal services, eliminates information transmission lag and errors caused by human factors in all links, solves the problems of high inventory, low efficiency, slow information transmission, lack of sharing and the like in the traditional supply chain, enhances the capacity of protecting and supplying the automobile enterprises by steel, and greatly improves the efficiency of the supply chain.
Patent CN106651261a discloses a warehouse yard guidance label visualization system, which is characterized in that acousto-optic alarm labels are arranged on goods stacking shelves or stacking goods places, a non-contact IC chip, a sound production unit and a light emitting unit are arranged in the acousto-optic alarm labels, and each acousto-optic alarm label has an IP number; arranging a fixed reader-writer on a warehouse yard; the fixed reader-writer is connected with the upper computer management center through the switch; the acousto-optic alarm tag receives a communication instruction of an upper computer and transmits data to the upper computer through a fixed reader-writer and a switch; after receiving the position display instruction, the acousto-optic alarm tag corresponding to the IP number outputs an acousto-optic prompt signal to guide storage operators to quickly find the positions of the storage operators, which is helpful for quickly, timely and accurately mastering the actual storage quantity and specification models of different specifications of goods in each storage yard in the warehouse, synchronously reflects the actual logistics change and storage conditions in the whole warehouse, displays and records the goods, and executes various storage management functions. The distributed intelligent network type system is adopted, and based on the information transmission mode of a field bus, the type of hardware of monitored point positions can be expanded according to the requirements, so that the number of the monitoring points is increased, the field wiring is facilitated, and a data export and Ethernet transmission mode is supported; 3. the operation interface is graphical, the operation process is simple and visual, and a user can operate the operation interface only through simple training; the storage positions are displayed in a table and graphic mode, the storage position utilization rate can be inquired, the management functions such as equipment setting and label energy consumption monitoring can be performed, and the digitization and the informatization of storage management work are facilitated.
Patent CN107733986a discloses a protection operation big data support platform supporting integrated deployment and monitoring, which includes: the system comprises a multi-source heterogeneous protection operation data integration module, a distributed big data storage module, a distributed big data analysis module, a resource management module and a monitoring module; the multi-source heterogeneous protection operation data integration module acquires protection operation big data from an external system and protection operation equipment, extracts the data, converts the data into a required data structure, stores the required data structure into the distributed big data storage module, writes back an analysis result of the distributed big data analysis module into the distributed big data storage module, and realizes data retrieval provided to the outside through a uniform interface; the distributed big data storage module is used for storing the protection operation big data acquired from the multi-source heterogeneous protection operation data integration module and providing a data base for the analysis service of the distributed big data analysis module; and the monitoring module is used for visually displaying the running conditions of the clusters and the operation for the user and providing support for analyzing and optimizing the calculation performance.
However, at present, the following technical problems exist:
(1) In the prior art, a processed workpiece is shielded by a shell or an element, so that the processed workpiece cannot be effectively monitored only by conventional video observation or manual detection, the abnormal phenomenon is fully found, the monitoring management is not significant, and only a plane video image can be seen without utilizing control level monitoring on a product;
(2) In the prior art, a big data technology is not utilized in the monitoring of a processing line, and the product quality problem and the equipment problem are effectively analyzed.
(3) In the prior art, the monitoring in the monitoring of the processing assembly line only adopts the display of images, does not have the display of emphasis and non-emphasis, and is not beneficial to observation and emphasis inspection.
In view of the above technical problems, it is desirable to provide a more intelligent visual management system for work staring and controlling, so as to achieve more intelligent management and product quality control. However, the prior art has not provided an effective solution to the above technical problem.
Disclosure of Invention
The invention aims to provide an intelligent operation staring control visual management system and a management method, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent operation staring and controlling visual management system is applied to a processing line and comprises an integrated central control platform, a plurality of sensing detection modules, a movable auxiliary detection end and an abnormity alarm center; the integrated central control platform is respectively in data communication connection with the plurality of sensing detection modules, the movable auxiliary detection end and the abnormity alarm center to realize data communication and operation control;
the sensing detection module comprises a video sensing module and an RFID label detection module; the video sensing module is arranged at each assembly line processing point and is used for staring at the working condition of the corresponding processing procedure; the RFID label detection modules are arranged at the edge of the production line at intervals at a certain distance and used for detecting the position of each workpiece to be processed on the production line; each workpiece to be machined is provided with a corresponding RFID tag, and the video sensing module and the RFID tag detection module of the sensing detection module are respectively in data communication connection with the integrated central control platform, so that video sensing data and RFID sensing data detected by the sensing detection module are sent to the integrated central control platform;
the integrated central control platform comprises a monitoring module, a visual display platform, an operation module, an operation data storage library and a big data calculation module, wherein the monitoring module is in data communication connection with the sensing module, and the monitoring module is respectively in data communication connection with the visual display platform, the operation module, the big data calculation module and the operation data storage library; the big data computing module is in data communication connection with the operation data storage library; the visual display platform can selectively display the flowing condition and the processing condition of the workpieces on the processing assembly line in the assembly line through operation, and can selectively display the processing technology condition of a processing point which is particularly concerned through an operation mode; the control module is in communication connection with processing equipment of processing points of each processing procedure on the production line so as to control the processing equipment to perform processing operation;
the mobile auxiliary detection end is arranged on the special track, so that the mobile auxiliary detection end slides on the special track to realize mobile inspection, and the mobile auxiliary detection end is in data communication connection with the monitoring module;
the operation data storage library stores real-time operation data detected by the sensing detection module and the mobile auxiliary detection end, the big data calculation module is in data communication connection with the operation data storage library, the big data calculation module reads historical operation data stored in the operation data storage library, generates guidance operation state data of each processing operation based on a big data calculation method, and sends the guidance operation state data to the monitoring module; the monitoring module reads real-time operation running data detected by the sensing detection module and the mobile auxiliary detection end and compares the real-time operation running data with the operation guiding state data, when the real-time operation running data is in a specified range, the operation is considered to be normal, otherwise, the monitoring module sends an operation control command, so that the operation control module controls corresponding processing equipment to adjust a processing procedure, and the processing quality of a product is ensured;
after the control module controls the corresponding processing equipment to adjust the processing procedure, when the quality of the product still does not meet the quality requirement, the monitoring module sends the mobile auxiliary detection end, so that the mobile auxiliary detection end is controlled to run to an abnormal procedure, the process is further monitored, abnormal reasons are searched for, and abnormal information is sent to the abnormal alarm center and the visual display platform;
the abnormity alarm center is used for receiving abnormity alarm information of the monitoring module and giving an alarm through the abnormity alarm center; meanwhile, the visual display platform displays the abnormal alarm information and the alarm place in a visual mode.
Preferably, the big data calculation module processes images in historical operating data, obtains characteristic point images and characteristic point positions of the machining process corresponding to the assembly line, and sends the characteristic point images and the characteristic point positions to the monitoring module, the monitoring module monitors only the characteristic point images and the characteristic point positions through images obtained by an edge detection image processing method, and when an abnormal condition occurs, the monitoring module sends the abnormal information to the visual display platform for display and sends the abnormal information to the abnormal alarm center for alarming.
Preferably, the monitoring module sends the feature point images and the positions of the feature points to the visual display platform, and the visual display platform frames the feature point images and the positions of the feature points in a red frame mode, highlights and highlights; meanwhile, the visual display platform can be actively operated and labeled by an operator, so that the operator actively labels key monitoring areas according to experience to highlight the visual display platform.
Preferably, the video sensing module comprises sensors arranged in a vertical direction and 2 horizontal direction scanning modes, so as to acquire images from 3 directions, form a three-dimensional video display and detect the processing process of the processed workpiece, and the visual display platform can selectively display the processing technology in a three-dimensional display mode in three directions so as to monitor and display.
Preferably, when a product enters a production line, an RFID label is installed on the product, the product is assembled and displayed in the visual display platform, each time a process is completed, a view of a structure is added on the product, meanwhile, the visual display platform (8) displays a virtual flow installation diagram of the product and the installation progress condition of an installed component, when the abnormal movement track or the abnormal movement speed of the RFID label on the production line is detected, the monitoring module sends the abnormal information to the abnormal alarm center to give an alarm, and meanwhile, the abnormal position is marked and highlighted through the visual display platform.
Preferably, the big data calculation module performs big data analysis according to the processing operation running data in a certain period of time recently, generates a data curve of the yield of each processing procedure point and the yield of the corresponding processing procedure point, determines that the processing equipment of the processing procedure has a need for repair or replacement when the yield drops to a set threshold value, and sends the repair information to the monitoring module, and the monitoring module displays the repair information through the visual display platform and sends the repair information to the abnormality alarm center to alarm.
Preferably, the RFID tag detection module detects the product state and position on the assembly line, generates visualized assembly line processing information with the position, utilizes the visualized display platform to display, and meanwhile, when the monitoring module finds that the product is jammed in a certain flow, the monitoring module adjusts the flow of the assembly line processing technology through a scheduling algorithm so as to control the product flow of the processing assembly line.
Preferably, when the monitoring module fails to receive the monitoring video image of the video sensing module, the monitoring module controls the mobile auxiliary detection end to move to the position where the monitoring video image is missing, so as to acquire video monitoring data.
In another aspect, the present application further provides an intelligent operation staring and controlling visualization management method, including an intelligent operation staring and controlling visualization management system, where the intelligent operation staring and controlling visualization management method specifically includes:
step S1, initializing the intelligent operation staring and controlling visual management system, and realizing normal data communication and control of each module of the management system;
s2, when a product enters a production line, installing an RFID label on the product, assembling and displaying in the visual display platform, adding a view of a structure on the product every time one process is finished, and simultaneously displaying a virtual flow installation diagram of the product and the installation progress condition of an installed component by the visual display platform (8);
s3, reading historical operating data stored in the operating data storage library by the big data computing module, generating guiding operating state data of each processing operation based on a big data computing method, and sending the guiding operating state data to the monitoring module; the monitoring module reads real-time operation running data detected by the sensing detection module and the mobile auxiliary detection end and compares the real-time operation running data with the operation guiding state data, when the real-time operation running data is in a specified range, the operation is considered to be normal, otherwise, the monitoring module sends an operation control command, so that the operation control module controls corresponding processing equipment to adjust a processing procedure, and the processing quality of a product is ensured;
s4, after the control module controls the corresponding processing equipment to adjust the processing procedure, when the quality of the product still does not meet the quality requirement, the monitoring module sends the movable auxiliary detection end so as to control the movable auxiliary detection end to run to an abnormal procedure, further monitor the process so as to search for abnormal reasons, and simultaneously send the abnormal information to the abnormal alarm center and the visual display platform;
s5, the abnormity alarm center is used for receiving abnormity alarm information of the monitoring module and alarming through the abnormity alarm center; meanwhile, the visual display platform displays the abnormal alarm information and the alarm place in a visual mode;
and S6, the big data calculation module carries out big data analysis according to the processing operation running data in a recent certain time period to generate a data curve of the yield of each processing procedure point and the yield of the corresponding processing procedure point, when the yield is reduced to a set threshold value, the processing equipment of the processing procedure is considered to have the requirement of repair or replacement, the repair information is sent to the monitoring module, and the monitoring module displays the repair information through a visual display platform and sends the repair information to the abnormity alarm center to alarm.
Preferably, the RFID tag detection module detects the product state and position on the assembly line, generates visualized assembly line processing information with the position, utilizes the visualized display platform to display, and meanwhile, when the monitoring module finds that the product is jammed in a certain flow, the monitoring module adjusts the flow of the assembly line processing technology through a scheduling algorithm so as to control the product flow of the processing assembly line.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent operation staring and controlling visual management system and the management method, a mode of combining big data calculation is adopted, so that key highlighting and key attention are carried out, the arrangement of monitoring sensing equipment can be reduced, and the intelligent management efficiency and the monitoring cost are improved.
2. According to the intelligent operation staring and controlling visual management system and the management method, the processing equipment is assembled in a labeling module mode, so that the processing equipment at a certain processing point can be replaced in time when abnormality occurs.
3. According to the intelligent operation staring and controlling visual management system and the management method, the processing points with abnormity are detected on the production line by adopting the movable auxiliary detection end, so that intelligent and automatic monitoring and maintenance are realized, the maintenance burden of personnel is reduced, the direct entering of the personnel into the processing points is reduced, and the safety of the personnel can be ensured when the system is applied to dangerous processing areas.
4. According to the intelligent operation staring and controlling visual management system and the intelligent operation staring and controlling visual management method, the RFID label is used for ranging to perform advanced and accurate positioning, so that the technical problem that the traditional vision sensor only uses image measurement and measurement is inaccurate due to vision angle difference can be solved, and the measurement mode can better realize an intelligent measurement and staring and controlling mode.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic structural diagram of a sensing module according to the present invention;
FIG. 3 is a schematic structural diagram of an integrated central control platform according to the present invention;
FIG. 4 is a schematic diagram of the pipeline structure of the present invention.
In the figure: 1. integrating a central control platform; 2. a sensing detection module; 3. a mobile auxiliary detection end; 4. an anomaly alarm center; 5. a video sensing module; 6. an RFID tag detection module; 7. a monitoring module; 8. a visual display platform; 9. a control module; 10. running a data repository; 11. big data calculation module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, the present invention provides a technical solution: an intelligent operation staring and controlling visual management system is applied to a processing line and comprises an integrated central control platform 1, a plurality of sensing detection modules 2, a movable auxiliary detection end 3 and an abnormity alarm center 4; the integrated central control platform 1 is respectively in data communication connection with the plurality of sensing detection modules 2, the movable auxiliary detection end 3 and the abnormity alarm center 4, so that data communication and operation control are realized;
the sensing detection module 2 comprises a video sensing module 5 and an RFID label detection module 6; the video sensing module 5 is arranged at each assembly line processing point and is used for staring at the working condition of the corresponding processing procedure; the RFID label detection modules 6 are arranged at the edge of the production line at intervals and used for detecting the positions of workpieces to be processed on the production line; each workpiece to be processed is provided with a corresponding RFID tag, and the video sensing module 5 and the RFID tag detection module 6 of the sensing detection module 2 are respectively in data communication connection with the integrated central control platform 1, so that video sensing data and RFID sensing data detected by the sensing detection module 2 are sent to the integrated central control platform 1;
the integrated central control platform 1 comprises a monitoring module 7, a visual display platform 8, an operation module 9, an operation data storage library 10 and a big data calculation module 11, wherein the monitoring module 7 is in data communication connection with the sensing module 2, and the monitoring module 7 is respectively in data communication connection with the visual display platform 8, the operation module 9, the big data calculation module 11 and the operation data storage library 10; the big data calculation module 11 is connected with the operation data storage library 10 in a data communication way; therefore, the visual display platform 8 can selectively display the flowing condition and the processing condition of the workpieces on the processing assembly line in the assembly line through operation, and meanwhile, the visual display platform 8 can selectively display the processing technology condition of a processing point which is particularly concerned through a control mode; the control module 9 is in communication connection with processing equipment of processing points of each processing procedure on the assembly line so as to control the processing equipment to perform processing operation;
the mobile auxiliary detection end 3 is installed on a special track, so that the mobile auxiliary detection end 3 slides on the special track to realize mobile inspection, and the mobile auxiliary detection end 3 is in data communication connection with the monitoring module 7;
the operation data storage library 10 stores real-time operation data detected by the sensing detection module 2 and the mobile auxiliary detection terminal 3, the big data calculation module 11 is in data communication connection with the operation data storage library 9, the big data calculation module 11 reads historical operation data stored in the operation data storage library 10, generates guidance operation state data of each processing operation based on a big data calculation method, and sends the guidance operation state data to the monitoring module 7; the monitoring module 7 reads real-time operation data detected by the sensing detection module 2 and the mobile auxiliary detection end 3, compares the real-time operation data with the operation state guiding data, and determines that the operation is normal when the real-time operation data is within a specified range, otherwise, the monitoring module 7 sends an operation control command, so that the operation module 9 controls the corresponding processing equipment to adjust the processing procedure, and the processing quality of the product is ensured;
after the control module 9 controls the corresponding processing equipment to adjust the processing procedure, and the quality of the product still does not meet the quality requirement, the monitoring module 7 sends the mobile auxiliary detection end 3, so as to control the mobile auxiliary detection end 3 to run to an abnormal procedure, further monitor the process, search for abnormal reasons, and send the abnormal information to the abnormal alarm center 4 and the visual display platform 8;
the abnormity alarm center 4 is used for receiving abnormity alarm information of the monitoring module 7 and giving an alarm through the abnormity alarm center 4; meanwhile, the visual display platform 8 displays the abnormal alarm information and the alarm place in a visual mode.
Preferably, the big data calculation module 11 processes an image in the historical operating data, obtains a feature point image of the processing process corresponding to the assembly line and a position of the feature point, and sends the feature point image and the position of the feature point to the monitoring module, the monitoring module 7 monitors only the feature point image and the position of the feature point according to the obtained feature point image and the position of the feature point, the monitoring module 7 sends the abnormal information to the visual display platform 8 for display when an abnormal condition occurs, and sends the abnormal information to the abnormal alarm center 4 for alarm.
Preferably, the monitoring module 7 sends the feature point images and the positions of the feature points to the visual display platform 8, and the visual display platform 8 frames the feature point images and the positions of the feature points in a red frame mode, and highlights, labels and displays the feature points; meanwhile, the visual display platform 8 can be actively operated and labeled by an operator, so that the operator actively labels key monitoring areas according to experience to highlight the visual display platform 8.
Preferably, the video sensing module 5 includes sensors arranged in a manner of scanning in a vertical direction and 2 horizontal directions, so as to acquire images from 3 directions, form a three-dimensional video display and detect the processing process of the processing workpiece, and the visual display platform 8 can selectively display the processing process in a three-dimensional display manner in three directions for monitoring and displaying.
Preferably, when a product enters a production line, an RFID tag is installed on the product, the product is assembled and displayed in the visual display platform 8, each time a process is completed, a view of a structure is added to the product, the visual display platform 8 displays a virtual flow installation diagram of the product and the installation progress of an installed component, when the abnormal movement track or the abnormal movement speed of the RFID tag on the production line is detected, the monitoring module 7 sends the abnormal information to the abnormal alarm center 4 to alarm, and the abnormal position is marked and highlighted through the visual display platform 8.
Preferably, the big data calculation module 11 performs big data analysis according to the processing operation data in the latest certain period of time, generates a data curve of the yield of each processing procedure point and the yield of the corresponding processing procedure point, determines that the processing equipment of the processing procedure has a need for repair or replacement when the yield drops to a set threshold, and sends the repair information to the monitoring module 7, and the monitoring module 7 displays the repair information through the visual display platform 8 and sends the repair information to the abnormality alarm center 4 to give an alarm.
Preferably, the RFID tag detection module 6 detects the product state and position on the assembly line, generates visualized assembly line processing information with a position, and utilizes the visualized display platform 8 to display the product state and position, and meanwhile, the monitoring module 7 adjusts the flow of the assembly line processing technology through a coordination algorithm when finding that a certain flow of the product is congested so as to control the product flow of the processing assembly line.
Preferably, when the monitoring module 7 fails to receive the monitoring video image of the video sensing module 5, the monitoring module 7 controls the mobile auxiliary detecting terminal 3 to move to the position of the missing monitoring video image, so as to obtain video monitoring data.
The second embodiment is as follows: in another aspect, the present application further provides an intelligent operation staring and controlling visualization management method, including an intelligent operation staring and controlling visualization management system, where the intelligent operation staring and controlling visualization management method specifically includes:
step S1, initializing the intelligent operation staring and controlling visual management system, and realizing normal data communication and control of each module of the management system;
s2, when a product enters a production line, installing an RFID label on the product, and performing assembly display in the visual display platform 8, wherein each time a process is completed, a view of a structure is added on the product, and meanwhile, the visual display platform 8 displays a virtual flow installation diagram of the product and the installation progress condition of an installed component;
step S3, the big data calculation module 11 reads historical operation data stored in the operation data storage library 10, generates guidance operation state data of each processing operation based on a big data calculation method, and sends the guidance operation state data to the monitoring module 7; the monitoring module 7 reads real-time operation running data detected by the sensing detection module 2 and the mobile auxiliary detection end 3, compares the real-time operation running data with the guiding running state data, and when the real-time operation running data is within a specified range, the operation is considered to be normal in running, otherwise, the monitoring module 7 sends an operation control command, so that the operation module 9 controls corresponding processing equipment to adjust a processing procedure, and the processing quality of a product is ensured;
step S4, after the control module 9 controls the corresponding processing equipment to perform the adjustment processing procedure, and when the quality of the product still does not meet the quality requirement, the monitoring module 7 sends the mobile auxiliary detection end 3, so as to control the mobile auxiliary detection end 3 to operate to an abnormal procedure, further monitor the process, so as to search for an abnormal reason, and send the abnormal information to the abnormal alarm center 4 and the visual display platform 8;
step S5, the abnormity alarm center 4 is used for receiving the abnormity alarm information of the monitoring module 7 and giving an alarm through the abnormity alarm center 4; meanwhile, the visual display platform 8 displays the abnormal alarm information and the alarm place in a visual mode;
and S6, the big data calculation module 11 performs big data analysis according to the processing operation running data in a recent certain period of time to generate a data curve of the yield of each processing procedure point and the yield of the corresponding processing procedure point, when the yield is reduced to a set threshold value, the processing equipment of the processing procedure is determined to have the requirement of repair or replacement, the repair information is sent to the monitoring module 7, the monitoring module 7 displays the repair information through the visual display platform 8, and meanwhile, the repair information is sent to the abnormity alarm center 4 to give an alarm.
Preferably, the RFID tag detection module 6 detects the product state and position on the assembly line, generates visualized assembly line processing information with a position, and utilizes the visualized display platform 8 to display the product state and position, and meanwhile, the monitoring module 7 adjusts the flow of the assembly line processing technology through a coordination algorithm when finding that a certain flow of the product is congested so as to control the product flow of the processing assembly line.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
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 (10)
1. An intelligent operation staring and controlling visual management system is applied to a processing line and comprises an integrated central control platform (1), a plurality of sensing detection modules (2), a movable auxiliary detection end (3) and an abnormity alarm center (4); the integrated central control platform (1) is respectively in data communication connection with the plurality of sensing detection modules (2), the movable auxiliary detection end (3) and the abnormity alarm center (4) to realize data communication and operation control;
the method is characterized in that:
the sensing detection module (2) comprises a video sensing module (5) and an RFID label detection module (6); the video sensing module (5) is arranged at each assembly line machining point and is used for staring at the working condition of the corresponding machining procedure; the RFID label detection modules (6) are arranged at the edge of the production line at intervals at a certain distance and are used for detecting the positions of workpieces to be processed on the production line; each workpiece to be processed is provided with a corresponding RFID tag, and the video sensing module (5) and the RFID tag detection module (6) of the sensing detection module (2) are respectively in data communication connection with the integrated central control platform (1), so that video sensing data and RFID sensing data detected by the sensing detection module (2) are sent to the integrated central control platform (1);
the integrated central control platform (1) comprises a monitoring module (7), a visual display platform (8), an operation module (9), an operation data storage library (10) and a big data calculation module (11), the monitoring module (7) is in data communication connection with the sensing detection module (2), and the monitoring module (7) is respectively in data communication connection with the visual display platform (8), the operation module (9), the big data calculation module (11) and the operation data storage library (10); the big data computing module (11) is in data communication connection with the operation data storage library (10); therefore, the visual display platform (8) can selectively display the flowing condition and the processing condition of the workpieces on the processing assembly line in the assembly line through operation, and meanwhile, the visual display platform (8) can selectively display the processing process condition of a processing point which is particularly concerned through an operation mode; the control module (9) is in communication connection with processing equipment of processing points of each processing procedure on the production line so as to control the processing equipment to perform processing operation;
the mobile auxiliary detection end (3) is arranged on the special track, so that the mobile auxiliary detection end (3) slides on the special track to realize mobile inspection, and the mobile auxiliary detection end (3) is in data communication connection with the monitoring module (7);
the operation data storage library (10) stores real-time operation data detected by the sensing detection module (2) and the mobile auxiliary detection end (3), the big data calculation module (11) is in data communication connection with the operation data storage library (10), the big data calculation module (11) reads historical operation data stored in the operation data storage library (10), and based on a big data calculation method, guidance operation state data of each processing operation is generated and sent to the monitoring module (7); the monitoring module (7) reads real-time operation running data detected by the sensing detection module (2) and the mobile auxiliary detection end (3), compares the real-time operation running data with the guide running state data, and when the real-time operation running data is within a specified range, the operation is considered to be normal in running, otherwise, the monitoring module (7) sends an operation control command, so that the operation module (9) controls corresponding processing equipment to adjust a processing procedure, and the processing quality of a product is ensured;
after the control module (9) controls the corresponding processing equipment to adjust the processing procedure, and the quality of the product still does not meet the quality requirement, the monitoring module (7) sends the mobile auxiliary detection end (3) so as to control the mobile auxiliary detection end (3) to operate to an abnormal process, further monitor the process, search for abnormal reasons and send the abnormal reasons to the abnormal alarm center (4) and the visual display platform (8);
the abnormity alarm center (4) is used for receiving abnormity alarm information of the monitoring module (7) and alarming through the abnormity alarm center (4); meanwhile, the visual display platform (8) displays abnormal alarm information and alarm places in a visual mode.
2. An intelligent work staring control visualization management system according to claim 1, characterized in that: the big data calculation module (11) processes images in historical operating data, obtains characteristic point images and characteristic point positions of machining processes corresponding to the assembly line and sends the characteristic point images and the characteristic point positions to the monitoring module, the monitoring module (7) monitors the images obtained by the monitoring module through an edge detection image processing method and only monitors the characteristic point images and the characteristic point positions according to the obtained characteristic point images and the obtained characteristic point positions, and when an abnormal condition occurs, the monitoring module (7) sends the abnormal condition to the visual display platform (8) for display and sends the abnormal condition to the abnormal alarm center (4) for alarming.
3. An intelligent work staring control visualization management system according to claim 2, characterized in that: the monitoring module (7) sends the characteristic point images and the positions of the characteristic points to the visual display platform (8), and the visual display platform (8) frames the positions of the characteristic point images and the positions of the characteristic points in a red frame mode, and highlights, labels and displays the positions of the characteristic points; meanwhile, the visual display platform (8) can be actively operated by an operator and labeled, so that the operator actively labels key monitoring areas according to experience to highlight the visual display platform (8).
4. An intelligent task staring visualization management system according to claim 1 or 3, characterized in that: the video sensing module (5) comprises sensors which are arranged in a vertical direction and 2 horizontal direction scanning mode, so that images are obtained from 3 directions, three-dimensional video display is formed, the processing process of the processed workpiece is detected, and the visual display platform (8) can selectively display the processing process in a three-dimensional display mode in three directions so as to monitor and display.
5. An intelligent work staring and controlling visualization management system according to any one of claims 1-3, characterized in that: when a product enters a production line, an RFID label is installed on the product, the product is assembled and displayed in the visual display platform (8), each time a process is completed, a view of a structure is added on the product, meanwhile, the visual display platform (8) displays a virtual flow installation diagram of the product and the installation progress condition of an installed component, when the abnormal condition of the movement track or the movement speed of the RFID label on the production line is detected, the monitoring module (7) sends the abnormal condition to the abnormal alarm center (4) for alarming, and meanwhile, the abnormal position is marked and highlighted through the visual display platform (8).
6. An intelligent work staring control visualization management system according to claim 1, characterized in that: the big data calculation module (11) carries out big data analysis according to the processing operation running data in a certain period of time recently, generates a data curve of the yield of each processing procedure point and the yield of the corresponding processing procedure point, and when the yield drops to a set threshold value, the processing equipment of the processing procedure is considered to have the requirement of repair or replacement, and sends the information of the repair requirement to the monitoring module (7), the monitoring module (7) displays the repair information through the visual display platform (8), and simultaneously sends the repair information to the abnormity alarm center (4) for alarming.
7. An intelligent work staring and controlling visualization management system according to claim 1, characterized in that: the RFID tag detection module (6) detects the product state and position on the assembly line, generates visual assembly line processing information with the position, utilizes the visual display platform (8) to display, and meanwhile, when the monitoring module (7) finds that the product is jammed in a certain flow, the flow of the assembly line processing technology is adjusted through a planning algorithm so as to control the product flow of the processing assembly line.
8. An intelligent work staring control visualization management system according to claim 1, characterized in that: when the monitoring module (7) fails to receive the monitoring video image of the video sensing module (5), the monitoring module (7) controls the mobile auxiliary detection end (3) to move to the position of the missing monitoring video image, so that video monitoring data are obtained.
9. An intelligent operation staring and controlling visualization management method, comprising the intelligent operation staring and controlling visualization management system of any one of claims 1 to 8, the specific staring and controlling management method is as follows:
step S1, initializing the intelligent operation staring and controlling visual management system, and realizing normal data communication and control of each module of the management system;
s2, when a product enters a production line, installing an RFID label on the product, and performing assembly display in the visual display platform (8), wherein each time a process is completed, a view of a structure is added on the product, and meanwhile, the visual display platform (8) displays a virtual flow installation diagram of the product and the installation progress condition of an installed component;
s3, reading historical operating data stored in the operating data storage bank (10) by the big data computing module (11), generating guiding operating state data of each machining operation based on a big data computing method, and sending the guiding operating state data to the monitoring module (7); the monitoring module (7) reads real-time operation running data detected by the sensing detection module (2) and the mobile auxiliary detection end (3), compares the real-time operation running data with the guide running state data, and when the real-time operation running data is within a specified range, the operation is considered to be normal in running, otherwise, the monitoring module (7) sends an operation control command, so that the operation module (9) controls corresponding processing equipment to adjust a processing procedure, and the processing quality of a product is ensured;
s4, after the control module (9) controls the corresponding processing equipment to adjust the processing procedure, and the quality of the product still does not meet the quality requirement, the monitoring module (7) sends the mobile auxiliary detection end (3) so as to control the mobile auxiliary detection end (3) to run to an abnormal process, further monitor the process so as to search for abnormal reasons, and simultaneously send the abnormal reasons to the abnormal alarm center (4) and the visual display platform (8);
s5, the abnormity alarm center (4) is used for receiving abnormity alarm information of the monitoring module (7) and alarming through the abnormity alarm center (4); meanwhile, the visual display platform (8) displays abnormal alarm information and alarm places in a visual mode;
and S6, the big data calculation module (11) carries out big data analysis according to the processing operation running data in a certain period of time recently, generates a data curve of the yield of each processing procedure point and the yield of the corresponding processing procedure point, considers that the processing equipment of the processing procedure has the requirement of repair or replacement when the yield is reduced to a set threshold value, and sends the information of the repair requirement to the monitoring module (7), the monitoring module (7) displays the information through the visual display platform (8), and sends the repair information to the abnormity alarm center (4) for alarming.
10. The intelligent operation staring control visualization management method according to claim 9, characterized in that: the RFID tag detection module (6) detects the product state and position on the assembly line, generates visual assembly line processing information with the position, utilizes the visual display platform (8) to display, and meanwhile, when the monitoring module (7) finds that the product is jammed in a certain flow, the flow of the assembly line processing technology is adjusted through a planning algorithm so as to control the product flow of the processing assembly line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110059011.7A CN112818716B (en) | 2021-01-17 | 2021-01-17 | Intelligent operation staring and controlling visual management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110059011.7A CN112818716B (en) | 2021-01-17 | 2021-01-17 | Intelligent operation staring and controlling visual management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112818716A CN112818716A (en) | 2021-05-18 |
| CN112818716B true CN112818716B (en) | 2022-12-06 |
Family
ID=75870220
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110059011.7A Active CN112818716B (en) | 2021-01-17 | 2021-01-17 | Intelligent operation staring and controlling visual management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112818716B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116343131B (en) * | 2023-05-23 | 2023-11-17 | 安徽光谷智能科技股份有限公司 | Intelligent monitoring and early warning method, device, equipment and storage medium for camera set |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8760691B2 (en) * | 2011-06-14 | 2014-06-24 | Hewlett-Packard Development Company, L.P. | Devices and methods for print job tracking |
| WO2017028150A1 (en) * | 2015-08-17 | 2017-02-23 | 曹树槐 | Separate alarm and overall control module set and ultra-sensing management system based on internet of things |
| KR101730451B1 (en) * | 2016-09-08 | 2017-04-26 | 진이진 | Flexible manufacturing system and method using wireless communication network |
| CN109818416A (en) * | 2017-11-22 | 2019-05-28 | 杨娜 | A kind of multi-functional transformer station intelligent robot inspection system |
| CN111090265A (en) * | 2019-03-28 | 2020-05-01 | 惠州市奇思创想科技有限公司 | Industrial monitoring system based on big data and work flow thereof |
| CN112112629A (en) * | 2019-06-19 | 2020-12-22 | 中国石油化工股份有限公司 | Safety business management system and method in drilling operation process |
| CN111242574A (en) * | 2020-01-08 | 2020-06-05 | 中国建筑第二工程局有限公司西南分公司 | Intelligent site inspection management system and method based on GPS technology |
-
2021
- 2021-01-17 CN CN202110059011.7A patent/CN112818716B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112818716A (en) | 2021-05-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11675344B2 (en) | Systems and methods for maintaining equipment in an industrial automation environment | |
| Javaid et al. | Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies | |
| JP6443312B2 (en) | Management system | |
| CN108241343A (en) | A kind of intelligent plant management platform system | |
| KR102334965B1 (en) | Predictive maintenance system for efficient management of factory automation equipment and productivity improvement | |
| US7805639B2 (en) | Tool to report the status and drill-down of an application in an automated manufacturing environment | |
| US20200341458A1 (en) | Distributed automation control | |
| US20180150066A1 (en) | Scheduling system and method | |
| US20070180324A1 (en) | Apparatus and program for process fault analysis | |
| CN101939714A (en) | Automatic maintenance estimation in a plant environment | |
| CN105467946A (en) | Aluminum electrolytic MES system based on accurate perception and intelligent decision | |
| US10042357B2 (en) | Portable, adaptable equipment health user interface | |
| CN111522329A (en) | Industrial robot fault diagnosis method | |
| CN112818716B (en) | Intelligent operation staring and controlling visual management system | |
| CN115946132A (en) | Intelligent dense warehouse and logistics robot system and fault monitoring method thereof | |
| US11860611B2 (en) | Method for identifying a limited operator control and monitoring of a technical plant, operator control and monitoring system and process control system | |
| KR101855679B1 (en) | Remote real monitoring and prediction system of auto-machine tool | |
| JP2018036970A (en) | Facility management system, facility management method, and program | |
| US7103444B1 (en) | Method and apparatus for supervising manufacturing tools | |
| Ramadan | RFID-enabled dynamic value stream mapping for smart real-time lean-based manufacturing system | |
| CN116679641A (en) | Multi-objective optimization method of automatic assembly production line considering process rigidity constraint | |
| US20220356104A1 (en) | System and method for controlling parameters of glass products production | |
| CN111176174B (en) | Multifunctional supervision system for stamping workshop | |
| CN114995302A (en) | Intelligent control method and system | |
| CN113409011A (en) | Enterprise interconnection system and interconnection method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20221109 Address after: 518000 3045, 3046, 3047, 3048, floor 3, Zone C, No. 31, Bulan Road, Nanwan street, Longgang District, Shenzhen, Guangdong Province Applicant after: Shenzhen Yuhang Software Co.,Ltd. Address before: Yunnan University, No.1, Yuhua District, Chenggong District, Kunming City, Yunnan Province, 650500 Applicant before: Ma Luju |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |