MES production monitoring system with real-time data analysis and response

Abstract

The invention discloses a real-time data analysis and response MES production monitoring system, and relates to the technical field of MES production monitoring systems, the system comprises a main server and a data management module, and the main server is bidirectionally connected with a data acquisition module, a security maintenance module and a mobile access module. When the MES production monitoring system for real-time data analysis and response is used, data is calculated through a data screening module, a data fusion module and a data conversion module in a data analysis module, and a corresponding data change trend chart and a future trend estimation chart are generated through a man-machine interaction module according to a calculation result; and when the data is calculated, the abnormal data is monitored in real time through the abnormal monitoring module, and the monitored data can be fed back to the man-machine interaction module in real time and is displayed by the man-machine interaction module, so that the source of the abnormal data can be conveniently and quickly checked, and a data real-time response effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of MES production monitoring systems, and specifically to an MES production monitoring system for real-time data analysis and response. Background Art

[0002] The MES (Manufacturing Execution System) production management system is a key information management system. It is located between the enterprise resource planning (ERP) and the workshop control system (such as DCS, PLC), and is mainly responsible for production management, monitoring, and optimizing the production process. Since the MES production monitoring system can help enterprises improve production efficiency, reduce production costs, ensure product quality, and achieve refined management and optimization of the production process, it has been widely used.

[0003] When the existing MES production monitoring system is in use, in order to better manage production data, it is necessary to collect production data and then calculate the data. However, since the amount of data to be collected and calculated is very large, once abnormal data appears, it is necessary to investigate the source of the abnormal data, so it is not convenient to quickly find out the specific source of the abnormal data, and it does not have the function of real-time data response. Summary of the Invention

[0004] The purpose of the present invention is to provide an MES production monitoring system for real-time data analysis and response, so as to solve the problem that the currently used MES production monitoring system is not convenient to quickly find out the source of abnormal data proposed in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An MES production monitoring system for real-time data analysis and response, including: a main server and a data management module. The main server is bidirectionally connected to a data acquisition module, a security maintenance module, and a mobile access module respectively. The output end of the data acquisition module is connected to a data analysis module, the output end of the data analysis module is connected to an execution control module, and the execution control module is bidirectionally connected to the main server. The input end of the security maintenance module is respectively connected to a system monitoring module and a system optimization module. The data analysis module is bidirectionally connected to a data transmission module. The input end of the data transmission module is respectively connected to various sensors, an RFID reader / writer, and a PLC controller. The data management module is connected to the output end of the main server;

[0006] The data analysis module includes a data screening module, a data fusion module, and a data conversion module. The output ends of the data screening module, the data fusion module, and the data conversion module are connected to a data calculation module. The output end of the data calculation module is respectively connected to an anomaly monitoring module, a trend analysis module, and a trend prediction module. The output ends of the trend analysis module and the trend prediction module are connected to a human-computer interaction module. The output end of the human-computer interaction module is respectively connected to an operation management module and a chart generation module. The output end of the anomaly monitoring module is connected to an anomaly analysis module.

[0007] Preferably, the output end of the anomaly analysis module is connected to the human-computer interaction module.

[0008] Preferably, the data screening module, the data fusion module, and the data conversion module are connected in parallel to the output end of the data analysis module.

[0009] Preferably, the anomaly monitoring module, the trend analysis module, and the trend prediction module are connected in parallel to the output end of the data calculation module.

[0010] Preferably, the execution control module includes an equipment control module, a plan adjustment module, a work management module, and an anomaly handling module.

[0011] Preferably, the output end of the equipment control module is connected to an equipment start / stop control module and an operating parameter adjustment module.

[0012] Preferably, the output end of the plan adjustment module is respectively connected to a production progress management module, an equipment utilization rate management module, and a resource allocation management module.

[0013] Preferably, the output end of the work management module is respectively connected to a work process management module, a task assignment management module, and a work quality control module.

[0014] Preferably, the data management module includes a data exchange module and a data storage module.

[0015] Preferably, the output end of the data storage module is respectively connected to a database management module, a data recovery module, and a data backup module.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: When the MES production monitoring system for real-time data analysis and response is in use, the data screening module, data fusion module, and data conversion module in the data analysis module are used to calculate the data, and according to the calculation results, the human-computer interaction module generates corresponding data change trend charts and future trend prediction charts. When calculating the data, the abnormal monitoring module is used to monitor abnormal data in real time, and the monitored data can also be fed back to the human-computer interaction module in real time and displayed by the human-computer interaction module, so as to facilitate quickly identifying the source of abnormal data, which has the function of real-time data response. This is the usage feature of the MES production monitoring system for real-time data analysis and response.

[0017] 1. When the MES production monitoring system for real-time data analysis and response is in use, various collected data can be screened, fused, and converted through the data analysis module, and then the data can be calculated, and data change trend charts and trend prediction charts of enterprise production can be generated. Through the above charts, operators can conveniently formulate corresponding plans. At the same time, the abnormal monitoring module can monitor abnormal data and synchronously display it on the display terminal device, so as to facilitate operators to check and handle abnormal situations occurring in enterprise production;

[0018] 2. When the MES production monitoring system for real-time data analysis and response is in use, the equipment control module, plan adjustment module, work management module, and abnormal handling module in the execution control module can be used to regulate the equipment operation situation, plan, work management, and abnormal situations, so as to help managers and operators make data-driven decisions;

[0019] 3. When the MES production monitoring system for real-time data analysis and response is in use, the collected data can be stored in the corresponding database through the data storage module in the data management module. At the same time, important data can be backed up through the data backup module according to requirements, so as to avoid data loss. And the lost data can also be restored through the data recovery module. Finally, through the data exchange module, the MES system can exchange data with other enterprise systems, so as to meet different usage requirements of operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the overall framework structure of the present invention;

[0021] Figure 2 It is a schematic diagram of the framework structure of the data analysis module of the present invention;

[0022] Figure 3 It is a schematic diagram of the framework structure of the execution control module of the present invention;

[0023] Figure 4 This is a schematic diagram of the framework structure of the data management module of the present invention.

[0024] In the figure: 1. Main server; 2. Data acquisition module; 3. Security maintenance module; 4. Mobile access module; 5. Data analysis module; 6. Execution control module; 7. System monitoring module; 8. System optimization module; 9. Data transmission module; 10. Various sensors; 11. RFID reader / writer; 12. PLC controller; 13. Data management module; 501. Data screening module; 502. Data fusion module; 503. Data conversion module; 504. Data calculation module; 505. Abnormality monitoring module; 506. Trend analysis module; 507. Trend prediction module; 508. Human-machine interaction module; 509. Operation management module; 5010. Chart generation module; 5011. Abnormality analysis module; 601. Equipment control module; 602. Plan adjustment module; 603. Work management module; 604. Abnormality handling module; 605. Equipment start / stop control module; 606. Operating parameter adjustment module; 607. Production progress management module; 608. Equipment utilization management module; 609. Resource allocation management module; 6010. Workflow management module; 6011. Task assignment management module; 6012. Work quality control module; 1301. Data exchange module; 1302. Data storage module; 1303. Database management module; 1304. Data recovery module; 1305. Data backup module. Specific implementation manners

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0026] Please refer to Figure 1, the present invention provides a technical solution: a MES production monitoring system for real-time data analysis and response, including: a main server 1 and a data management module 13. The main server 1 is bidirectionally connected to a data acquisition module 2, a security maintenance module 3, and a mobile access module 4 respectively. The output end of the data acquisition module 2 is connected to a data analysis module 5, the output end of the data analysis module 5 is connected to an execution control module 6, and the execution control module 6 is bidirectionally connected to the main server 1. The input end of the security maintenance module 3 is connected to a system monitoring module 7 and a system optimization module 8 respectively. The data analysis module 5 is bidirectionally connected to a data transmission module 9. The input end of the data transmission module 9 is connected to various sensors 10, an RFID reader / writer 11, and a PLC controller 12 respectively. The data management module 13 is connected to the output end of the main server 1;

[0027] The data analysis module 5 includes a data screening module 501, a data fusion module 502, and a data conversion module 503. The output ends of the data screening module 501, the data fusion module 502, and the data conversion module 503 are connected to a data calculation module 504. The output end of the data calculation module 504 is connected to an anomaly monitoring module 505, a trend analysis module 506, and a trend prediction module 507 respectively. The output ends of the trend analysis module 506 and the trend prediction module 507 are connected to a human-computer interaction module 508. The output end of the human-computer interaction module 508 is connected to an operation management module 509 and a chart generation module 5010 respectively. The output end of the anomaly monitoring module 505 is connected to an anomaly analysis module 5011, and the output end of the anomaly analysis module 5011 is connected to the human-computer interaction module 508. The data screening module 501, the data fusion module 502, and the data conversion module 503 are connected in parallel to the output end of the data analysis module 5. The anomaly monitoring module 505, the trend analysis module 506, and the trend prediction module 507 are connected in parallel to the output end of the data calculation module 504. The operation management module 509 and the chart generation module 5010 are connected in parallel to the output end of the human-computer interaction module 508.

[0028] During specific implementation, for the MES production monitoring system for real-time data analysis and response, first, the data acquisition module 2 collects the data monitored by various sensors 10, the RFID reader / writer 11, and the PLC controller 12, mainly including production operation data such as equipment operation data, production progress, and material flow. Then, through various communication protocols in the data transmission module 9, such as Ethernet, Modbus, OPC, etc., the collected data is transmitted to the main server 1;

[0029] Meanwhile, the data is analyzed by the data analysis module 5 at the output end of the data acquisition module 2, screened by the data screening module 501, integrated and sorted by the data fusion module 502, converted by the data conversion module 503, then the obtained data is calculated by the data calculation module 504, and finally the trend analysis module 506 is used to analyze the trend of data change, so as to obtain the specific reasons for data change. The trend prediction module 507 can predict the subsequent data development trend, so as to facilitate the operator to take corresponding measures according to the change trend. And the abnormal data in the calculation results can be monitored by the abnormal monitoring module 505. Once abnormal data appears in the calculation results, the abnormal data will be analyzed by the abnormal analysis module 5011 at the output end of the abnormal monitoring module 505, so as to analyze the specific source of the abnormal data and facilitate quickly finding the source of the problem;

[0030] Finally, the calculated data results are output through the operation management module 509 and the chart generation module 5010 at the output end of the human-computer interaction module 508 to generate corresponding operation control interfaces and chart information, so as to facilitate the operator to view and manage the data. At the same time, the abnormal data will also be fed back to the device display terminal through the human-computer interaction module 508, facilitating the operator to quickly process the abnormal data.

[0031] Refer to Figure 2 It can be seen that during use, the data collected can be calculated by the data analysis module 5, and then the calculated results are analyzed and judged by the trend analysis module 506 and the trend prediction module 507. Finally, the corresponding operation control interfaces and chart information are output through the human-computer interaction module 508. At the same time, the abnormal data is detected by the abnormal detection module, so as to facilitate the processing of abnormal data.

[0032] The execution control module 6 includes a device control module 601, a plan adjustment module 602, a work management module 603 and an abnormal handling module 604. The output end of the device control module 601 is connected to a device start / stop control module 605 and an operation parameter adjustment module 606. The output end of the plan adjustment module 602 is respectively connected to a production progress management module 607, a device utilization rate management module 608 and a resource allocation management module 609. The output end of the work management module 603 is respectively connected to a work process management module 6010, a task assignment management module 6011 and a work quality control module 6012. The device control module 601, the plan adjustment module 602, the work management module 603 and the abnormal handling module 604 are connected in parallel to the output end of the execution control module 6.

[0033] In specific implementation, for the MES production monitoring system for real-time data analysis and response, when the result of data calculation is fed back to the display terminal device through the human-machine interaction module 508, corresponding decisions can be made according to the data operation trend through the execution control module 6. The operation status of the device is controlled through the device control module 601 in the execution control module 6, including controlling the start and stop of the device through the device start-stop control module 605, and adjusting the operation parameters of the device through the operation parameter adjustment module 606, so as to facilitate the management and control of production equipment;

[0034] The production plan is adjusted through the plan adjustment module 602. Mainly, the production progress is controlled through the production progress management module 607. The equipment utilization rate management module 608 can control the utilization rate of the equipment according to the current production speed. The resource allocation management module 609 is mainly used to manage the distribution of materials, so that the materials can be fully utilized;

[0035] The work management module 603 can manage the work process of workers through the work process management module 6010. The task assignment management module 6011 can reasonably allocate production tasks according to production requirements. And the work quality management is mainly used to manage the quality of the products produced;

[0036] Finally, the exception handling module 604 can start emergency handling measures automatically or manually when abnormal data is detected during the above data calculation process, so as to avoid the deviation of the calculation result caused by abnormal data.

[0037] Refer to Figure 3 It can be seen that when the whole system is working, the production management of the enterprise is comprehensively regulated through the device control module 601, the plan adjustment module 602, the work management module 603 and the exception handling module 604 in the execution control module 6, so as to facilitate the enterprise to manage production data.

[0038] The data management module 13 includes a data exchange module 1301 and a data storage module 1302. The output end of the data storage module 1302 is respectively connected with a database management module 1303, a data recovery module 1304 and a data backup module 1305. The database management module 1303, the data recovery module 1304 and the data backup module 1305 are connected in parallel to the output end of the data storage module 1302.

[0039] In specific implementation, when data is transmitted to the main server 1 through the data transmission module 9 in the MES production monitoring system for real-time data analysis and response, to avoid data loss, the data storage module 1302 in the data management module 13 can be used to store the data, and the database management module 1303 can store it in the corresponding database. The databases that can be used include MySQL or NoSQL for data storage. At the same time, according to requirements, some important data can be backed up through the data backup module 1305, so that important data can still be found even if it is lost. The data recovery module 1304 is mainly used to recover lost data, facilitating operators to quickly access the data. Finally, the data exchange module 1301 is mainly used to integrate the MES system with other enterprise systems such as ERP, SCADA, PLC, CAD / CAM, etc., to achieve the sharing of data and the coordination of business processes, thereby meeting the different usage requirements of operators.

[0040] Refer to Figure 4 It can be seen that in use, to meet the data conversion between different enterprise systems, the MES system can be integrated and exchanged with other systems through the data exchange module 1301 to achieve the sharing of data. At the same time, the data storage module 1302 can store, back up, and recover data, facilitating the management of large amounts of data.

[0041] In summary, when the MES production monitoring system for real-time data analysis and response is in use, the main server 1 can ensure the normal operation of the entire system. At the same time, various sensors 10, RFID readers 11, and PLC controllers 12 are used to collect production operation data, which is transmitted to the data acquisition module 2 through the data transmission module 9 and finally to the main server 1. The data management module 13 in the main server 1 can manage the data. At the same time, the data analysis module 5 in the data acquisition module 2 analyzes the collected data. And during transportation, the system monitoring module 7 in the security maintenance module 3 monitors the operation of the system. The system optimization module 8 can optimize and upgrade the vulnerabilities in the system, enabling the entire system to operate normally. Finally, through the mobile access module 4, the entire system can be remotely operated through various mobile devices, facilitating operators to access system information at any time and any place for real-time monitoring and decision-making. This is the usage feature of the MES production monitoring system for real-time data analysis and response. The content not described in detail in this description belongs to the prior art known to those skilled in the art.

[0042] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A MES production monitoring system for real-time data analysis and response, comprising: The main server (1) and the data management module (13) are characterized in that: the main server (1) is bidirectionally connected to the data acquisition module (2), the security maintenance module (3), and the mobile access module (4); the output end of the data acquisition module (2) is connected to the data analysis module (5); the output end of the data analysis module (5) is connected to the execution control module (6); the execution control module (6) and the main server (1) are bidirectionally connected; the input end of the security maintenance module (3) is respectively connected to the system monitoring module (7) and the system optimization module (8); the data analysis module (5) is bidirectionally connected to the data transmission module (9); the input end of the data transmission module (9) is respectively connected to various sensors (10), RFID readers (11), and PLC controllers (12); and the data management module (13) is connected to the output end of the main server (1); The data analysis module (5) comprises a data screening module (501), a data fusion module (502) and a data conversion module (503); the output ends of the data screening module (501), the data fusion module (502) and the data conversion module (503) are connected to a data calculation module (504); the output ends of the data calculation module (504) are respectively connected to an abnormality monitoring module (505), a trend analysis module (506) and a trend prediction module (507); the output ends of the trend analysis module (506) and the trend prediction module (507) are connected to a human-computer interaction module (508); the output ends of the human-computer interaction module (508) are respectively connected to an operation management module (509) and a chart generation module (5010); the output end of the abnormality monitoring module (505) is connected to an abnormality analysis module (5011).

2. The MES production monitoring system for real-time data analysis and response according to claim 1, characterized in that: The output end of the abnormality analysis module (5011) is connected to the human-computer interaction module (508).

3. The MES production monitoring system for real-time data analysis and response according to claim 1, characterized in that: The data screening module (501), the data fusion module (502) and the data conversion module (503) are connected in parallel to the output end of the data analysis module (5).

4. The MES production monitoring system for real-time data analysis and response according to claim 1, characterized in that: The abnormality monitoring module (505), the trend analysis module (506) and the trend estimation module (507) are connected in parallel to the output end of the data calculation module (504).

5. The MES production monitoring system for real-time data analysis and response according to claim 1, characterized in that: The execution control module (6) comprises a device control module (601), a plan adjustment module (602), a work management module (603) and an exception handling module (604).

6. The MES production monitoring system for real-time data analysis and response according to claim 5, characterized in that: The output end of the equipment control module (601) is connected to an equipment start / stop control module (605) and an operation parameter adjustment module (606).

7. The MES production monitoring system for real-time data analysis and response according to claim 5, characterized in that: The output end of the plan adjustment module (602) is respectively connected to a production progress management module (607), an equipment utilization management module (608) and a resource allocation management module (609).

8. The MES production monitoring system for real-time data analysis and response according to claim 5, characterized in that: The output end of the work management module (603) is respectively connected to a work flow management module (6010), a task allocation management module (6011) and a work quality control module (6012).

9. The MES production monitoring system for real-time data analysis and response according to claim 1, characterized in that: The data management module (13) comprises a data exchange module (1301) and a data storage module (1302).

10. The MES production monitoring system for real-time data analysis and response according to claim 9, characterized in that: The output end of the data storage module (1302) is respectively connected to a database management module (1303), a data recovery module (1304) and a data backup module (1305).

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