CN117519039A - Metal part production management system - Google Patents
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 170
- 239000002184 metal Substances 0.000 title claims abstract description 27
- 238000012544 monitoring process Methods 0.000 claims abstract description 67
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application relates to the field of automatic production and discloses a metal part production management system, which comprises a main system module, a control module and a control module, wherein the main system module is used for controlling the production process of metal parts; the monitoring module is used for collecting the running state of the main system in real time and analyzing data; the standby system module is used for taking over the production task when the monitoring module monitors the main system fault; the data buffer module is used for storing the production data generated by the main system module, and the standby system module can read the production data from the data buffer module for synchronization when taking over the production task. The standby system module can rapidly take over production tasks when the faults of the main system are monitored, ensure the continuity and stability of production, avoid production interruption and loss, ensure the accuracy and reliability of data in the production process, improve the stability and reliability of the production process, and are beneficial to improving the production efficiency and quality.
Description
Technical Field
The invention relates to the technical field of automatic production, in particular to a metal part production management system.
Background
The traditional metal part production system generally depends on manual operation and experience judgment, has the problems of low production efficiency, high failure rate, untimely monitoring and management and the like, and when an execution system fails, the production can be stopped immediately, so that the metal part in processing is scrapped, and raw materials are wasted.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a metal part production management system, which solves the problems that the traditional metal part production system depends on manual operation and experience judgment, when the production is failed due to an execution system, the production is stopped immediately, and the metal part in the process is scrapped.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a metal part production management system comprising:
the main system module is used for controlling the production process of the metal parts;
the monitoring module is used for collecting the running state of the main system in real time and analyzing data;
the standby system module is used for taking over the production task when the monitoring module monitors the main system fault;
the data buffer module is used for storing the production data generated by the main system module, and the standby system module can read the production data from the data buffer module for synchronization when taking over the production task.
Preferably, the main system module includes:
the first control module is used for executing control and coordination of production tasks;
the first execution module is used for controlling the production process according to the instruction of the control module;
and the first communication module is used for carrying out data exchange and communication with the monitoring module and the data buffer area module.
Preferably, the monitoring module includes:
the data acquisition module acquires the running state of the main system in real time;
and the abnormality detection model module monitors the running state of the main system in real time through machine learning and statistical analysis technology to find abnormal conditions.
Preferably, the monitoring module further comprises:
the log stream acquisition module is used for acquiring log stream data of the main system in real time;
the stream processing engine module is used for processing and analyzing the real-time log stream of the main system;
and the identification algorithm module is used for intelligently analyzing the real-time log stream and finding out a potential abnormal mode.
Preferably, the monitoring module further comprises:
the heartbeat interval module is used for receiving the heartbeat signal sent by the main system in real time;
and the fault processing module is used for outputting a main system fault signal when the heartbeat signal does not arrive on time.
Preferably, the standby system module includes:
the second control module is used for executing control and coordination of the production task when taking over the production task;
the second execution module is used for controlling the production process according to the instruction of the second control module when taking over the production task;
and the second communication module is used for carrying out data exchange and communication with the monitoring module and the data buffer area module.
Preferably, the data buffer module includes a module:
the data writing module is used for receiving the production data acquired by the main system and writing the production data into the buffer area;
the data reading module is used for reading production data from the buffer area by the standby system to carry out production tasks;
and the consistency check module is used for ensuring that the production data between the main system and the standby system keep consistent.
Preferably, the system further comprises:
the fault alarm module is used for triggering an alarm signal when the main system fails;
and the fault tracing module is used for tracing and positioning faults.
Preferably, the system further comprises:
the database module is used for storing real-time monitoring data and fault events;
and the data analysis module is used for performing offline analysis on the historical data so as to improve the system later.
Preferably, the system further comprises:
and the user interface module is used for displaying the real-time state of the main system, the analysis result of the monitoring module and the running condition of the standby system.
The invention provides a metal part production management system. The beneficial effects are as follows:
the standby system module can rapidly take over production tasks when the faults of the main system are monitored, ensures the continuity and stability of production, avoids production interruption and loss, and can timely acquire production data generated by the main system module through the data buffer module, so that the synchronization and consistency of the data are maintained, the accuracy and reliability of the data in the production process are ensured, the stability and reliability of the production process are improved, and the production efficiency and quality are improved.
Drawings
FIG. 1 is a block diagram of a system architecture of the present invention;
FIG. 2 is a schematic diagram of a main system module according to the present invention;
FIG. 3 is a schematic diagram of a monitoring module according to the present invention;
FIG. 4 is a schematic diagram of another embodiment of a monitoring module according to the present invention;
FIG. 5 is a schematic diagram of another embodiment of a monitoring module according to the present invention;
FIG. 6 is a schematic diagram of a standby system module according to the present invention;
FIG. 7 is a schematic diagram of a data buffer module according to the present invention;
FIG. 8 is a schematic diagram of another embodiment of the system of the present invention;
FIG. 9 is a schematic diagram of another embodiment of the system of the present invention;
FIG. 10 is a schematic diagram of another embodiment of the system of the present invention.
10, a main system module; 11. a first control module; 12. a first execution module; 13. a first communication module; 20. a monitoring module; 21. a data acquisition module; 22. an anomaly detection model module; 23. a log stream acquisition module; 24. a stream processing engine module; 25. an identification algorithm module; 26. a heartbeat interval module; 27. a fault handling module; 30. a standby system module; 31. a second control module; 32. a second execution module; 33. a second communication module; 40. a data buffer module; 41. a data writing module; 42. a data reading module; 43. a consistency check module; 50. a fault alarm module; 60. a fault tracing module; 70. a database module; 80. a data analysis module; 90. and a user interface module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-10, an embodiment of the present invention provides a metal part production management system, including:
and a main system module: the main system module is used for controlling the production process of the metal parts. The system comprises a control unit, a sensor, an actuator and other components, and is used for controlling and coordinating production tasks. The main system module is responsible for monitoring the equipment state, the production parameters and the process flow on the production line and correspondingly controlling the actuator to ensure the smooth proceeding of the production process.
And a monitoring module: the monitoring module collects the running state of the main system in real time and performs data analysis. The operation data of the main system, including equipment state, sensor data, production parameters and the like, are acquired through a communication interface with the main system module. The monitoring module processes and analyzes the data using a data analysis algorithm to monitor the stability and efficiency of the production process and generate corresponding reports and alarms.
And (5) a standby system module: the standby system module is used for taking over the production task when the monitoring module monitors the main system fault. It has the same functions and capabilities as the main system, including control units, actuators, etc. When the monitoring module detects that the main system is in fault or abnormal condition, the standby system module can automatically take over the production task, so that the continuity and stability of the production process are ensured.
And a data buffer module: the data buffer module is used for storing the production data generated by the main system module and ensuring that the standby system module can read the production data from the data buffer module for synchronization when taking over the production task. The production data generated by the main system module is written into the data buffer module, and the standby system module reads the latest production data from the data buffer module when taking over the production task so as to maintain the consistency and accuracy of the data.
The main system module is responsible for actual production control and task execution, and the monitoring module monitors the running state of the main system in real time and analyzes and processes the data. When the monitoring module detects the failure of the main system, the standby system module is connected with the production task, so that the continuity of production is ensured. Meanwhile, the main system module writes the generated production data into the data buffer module, and the standby system module reads the data in the data buffer module when taking over tasks so as to keep the synchronization and consistency of the production data.
The standby system module can rapidly take over production tasks when the faults of the main system are monitored, ensures the continuity and stability of production, avoids production interruption and loss, and can timely acquire production data generated by the main system module through the data buffer module, so that the synchronization and consistency of the data are maintained, the accuracy and reliability of the data in the production process are ensured, the stability and reliability of the production process are improved, and the production efficiency and quality are improved.
As one embodiment of the present invention, a main system module includes:
a first control module: the first control module is a core control unit of the main system module and is responsible for executing control and coordination of production tasks. It receives instructions and production parameters from the monitoring module and formulates production plans and control strategies based on these information. The first control module coordinates and schedules each execution module in the production process according to preset production flow and process requirements, and ensures that production tasks are carried out according to specified sequences and requirements.
A first execution module: the first execution module is an actuator of the main system module for controlling the production process according to the instructions of the first control module. It may be a set of mechanical devices, robots, drive trains or other automated equipment for performing specific production operations, such as cutting, welding, machining, etc. And the first execution module operates according to the instruction of the first control module and a preset mode and parameters to complete corresponding production tasks.
A first communication module: the first communication module is responsible for data exchange and communication with the monitoring module and the data buffer module. The first control module receives information such as instructions, production parameters, equipment states and the like transmitted by the monitoring module in real time through a communication interface with the monitoring module, so that the first control module can schedule and control production tasks. Meanwhile, the first communication module also communicates with the data buffer area module, and writes the generated production data into the data buffer area so as to ensure that the standby system module can read the latest production data from the data buffer area for synchronization.
Specifically, the main system module realizes control and coordination of production tasks through cooperative work of the first control module, the first execution module and the first communication module, and ensures that the production process is carried out according to a preset plan and requirements. Meanwhile, through data exchange and communication with the monitoring module and the data buffer module, collaborative operation and production data synchronization with other modules are realized. Such a design may improve the efficiency, stability and reliability of the production process, thereby enhancing the overall performance of the metal part production management system.
As one embodiment of the present invention, the monitoring module includes:
and a data acquisition module: the data acquisition module is responsible for acquiring the running state of the main system in real time. The system is communicated with a first communication module of the main system module to acquire data transmitted by the main system, including equipment states, sensor data, production parameters and the like. The data acquisition module can use sensors, meters, monitoring equipment and the like to monitor and acquire the data of all aspects of the main system in real time. The collected data can be various parameters such as temperature, pressure, speed, current, etc. for evaluating the operating condition of the host system.
An anomaly detection model module: the abnormality detection model module monitors the running state of the main system in real time by utilizing machine learning and statistical analysis technology, and finds out an abnormality. The anomaly detection model is constructed by analyzing and processing the data acquired by the data acquisition module. The model may be a rule-based model, a statistical model, a machine learning model, or the like. The anomaly detection model module compares and analyzes the collected data with the model, and if anomaly data or behavior which is inconsistent with normal operation conditions is detected, an alarm or report is triggered so that an operator can take corresponding measures in time.
Specifically, the monitoring module acquires the running state of the main system in real time through the data acquisition module, and monitors in real time and detects the abnormality through the abnormality detection model module. The design can help discover abnormal conditions of the main system, such as equipment faults, abnormal production processes and the like in time, so that production loss and quality problems are reduced. Meanwhile, the monitoring module can also generate reports and alarms for reference of operators so that the operators can take measures in time to keep the stability and reliability of the production process.
As an embodiment of the present invention, the monitoring module further includes:
the log stream acquisition module: the log stream acquisition module is used for acquiring log stream data of the main system in real time. It can monitor various log events generated in the host system, including operation log, error log, exception log, etc. By acquiring the log stream data, the running condition and event record of the main system can be comprehensively known. The log stream acquisition module can use tools such as a log management system, a log collector and the like to transmit log information of the main system to the monitoring module in real time.
The stream processing engine module: the stream processing engine module is used for processing and analyzing the real-time log stream of the main system. The method receives the log data from the log stream acquisition module and performs real-time streaming. The stream processing engine module may use a stream processing framework or a stream processing platform, such as Apache Kafka, apache Flink, etc., to filter, convert, aggregate, etc., log data for subsequent anomaly detection and analysis.
The recognition algorithm module: the recognition algorithm module is used for intelligently analyzing the real-time log stream and finding out a potential abnormal mode. It may perform pattern recognition and anomaly detection on log data based on machine learning, deep learning, or other related techniques. Through training and optimizing the recognition algorithm, abnormal log modes which are inconsistent with normal operation, including abnormal operation, error events and the like, can be automatically recognized. The identification algorithm module can select a proper algorithm and a proper model according to actual requirements so as to improve the accuracy and the efficiency of anomaly detection.
Specifically, the combination of the log stream acquisition module, the stream processing engine module and the recognition algorithm module of the monitoring module can realize the acquisition, the processing and the intelligent analysis of the real-time log data of the main system. The design can help discover potential abnormal modes and problems in time, and improves the reliability and stability of the production process. An operator can timely take corresponding measures according to the log stream analysis result provided by the monitoring module, so that potential production faults and losses are avoided.
As an embodiment of the present invention, the monitoring module further includes:
heartbeat interval module: the heartbeat interval module is used for receiving the heartbeat signals sent by the main system in real time. The heartbeat signal is a signal periodically sent by the main system and is used for indicating the normal running state of the main system. The heartbeat interval module periodically receives and records the arrival time of the heartbeat signal in the process of communicating with the main system. By monitoring the arrival condition of the heartbeat signal, whether the main system works normally or not and whether abnormal conditions such as communication faults or main system faults exist or not can be judged.
And a fault processing module: the fault processing module is used for outputting a main system fault signal when the heartbeat signal does not arrive on time. If the heartbeat signal does not reach the monitoring module according to the preset time interval, the fault processing module can judge that the main system has faults and generate corresponding fault signals. This fault signal may be an alarm, warning light, fault notification, etc. for alerting the operator to an abnormal condition of the main system. The fault handling module may communicate with other systems or devices to timely notify personnel and take appropriate fault handling measures.
Specifically, the combination of the heartbeat interval module and the fault processing module can realize real-time monitoring and fault processing of the running state of the main system. By monitoring the arrival condition of the heartbeat signal, the fault or communication abnormality of the main system can be found in time, and the corresponding fault signal is output through the fault processing module so as to take fault processing measures in time. Such a design can improve the reliability and stability of the main system, reducing production breaks and losses.
As one embodiment of the present invention, the standby system module includes:
and a second control module: the second control module is used for executing control and coordination of the production task when taking over the production task. When the main system is in fault or abnormal state, the standby system takes over the production task of the main system through the second control module. The second control module has functions and interfaces similar to those of the main system, and can control and schedule the production process. The method can monitor the progress of the production task, allocate resources, adjust production parameters and the like so as to ensure the smooth execution of the production task.
And a second execution module: the second execution module is used for controlling the production process according to the instruction of the second control module when taking over the production task. It performs specific production operations and actions according to the instructions of the second control module. The second execution module may include various equipment, robots, sensors, etc. for actual production operations. It can receive the instruction and execute the corresponding action according to the instruction to complete the production task.
And a second communication module: the second communication module is used for carrying out data exchange and communication with the monitoring module and the data buffer area module. The system and the method interact with the monitoring module in real time, and transmit the state, production data and other information of the standby system to the monitoring module so as to monitor and record the running condition of the standby system. Meanwhile, the second communication module can also receive the instruction and the control information of the monitoring module so as to remotely control and schedule the standby system. In addition, the system can also perform data transmission with a data buffer module, and store data generated by the standby system into the data buffer for subsequent data analysis and processing.
Specifically, the second control module, the second execution module and the second communication module of the standby system module can be combined to realize the production task taking over and execution under the condition of main system fault or abnormality. The standby system can control and coordinate production tasks through the second control module, execute actual production operation through the second execution module, and exchange and communicate data with the monitoring module and the data buffer area module through the second communication module. The design can improve the reliability and stability of the production system, reduce the production interruption and loss, and ensure the smooth completion of the production task.
As one embodiment of the present invention, a data buffer module includes:
and a data writing module: the data writing module is used for receiving the production data collected by the main system and writing the production data into the buffer area. The main system acquires various data in the production process, such as sensor data, equipment states, production parameters and the like, through the data acquisition module. The data writing module receives the data and stores it in the buffer. The data writing module may employ an efficient data storage manner, such as a database, a memory cache, etc., to ensure high-speed writing and storage of data.
And a data reading module: the data reading module is used for reading the production data from the buffer area by the standby system to carry out production tasks. When the backup system takes over the production tasks of the primary system, it needs to read the previously acquired production data to understand the current production status. The data reading module reads the corresponding production data from the buffer and provides it to other components of the standby system for use. In this way, the backup system can perform execution and control of production tasks based on the latest production data.
Consistency check module: the consistency check module is used for ensuring that production data between the main system and the standby system keeps consistent. Since the main system and the standby system operate the same production task at the same time, consistency check is required to avoid data collision and inconsistency. The consistency check module compares the data of the primary system and the backup system and checks whether there is a discrepancy or conflict. If data is found to be inconsistent, the consistency check module may trigger corresponding processing mechanisms, such as data synchronization, data merging, or data rollback, to ensure that data between the primary and backup systems remains consistent.
Specifically, the combination of the data writing module, the data reading module and the consistency checking module of the data buffer area module realizes data exchange and consistency assurance between the main system and the standby system. The data writing module receives the production data collected by the main system and stores the production data in the buffer area, the data reading module reads the production data from the buffer area for the standby system, and the consistency checking module ensures that the data between the main system and the standby system are kept consistent. The design can improve the reliability and consistency of data, and ensure that the main system and the standby system can operate based on accurate and consistent data when carrying out production tasks.
As an embodiment of the present invention, the system further comprises:
and a fault alarm module: the failure alarm module is used for triggering an alarm signal when the main system fails. When the main system is in fault or abnormal condition, the fault alarm module can detect the fault and generate corresponding alarm signals in time. The alarm signal may take various forms, such as an audible alarm, visual indication, a short message notification, etc., so that an operator or a related person can timely learn about the failure condition of the main system. Through the fault alarm module, the fault of the main system can be quickly found, and corresponding measures are timely taken to treat and repair the fault so as to reduce production interruption and loss.
And the fault tracing module is used for: the fault tracing module is used for tracing and positioning faults. When the main system fails, the failure tracing module can analyze and trace the failure to determine the cause and the position of the failure. The fault tracing module may help analyze and locate faults by monitoring and recording various status and operational information of the system, such as logging, abnormal data collection, etc. The fault source tracing module can find the source of the fault faster and take corresponding repairing measures to reduce the influence of the fault on the production task.
Specifically, the combination of the fault alarm module and the fault tracing module can improve the fault processing capacity and reliability of the system. The fault alarm module can timely send out a fault signal so that an operator or related personnel can quickly respond to and process the fault. The fault tracing module provides the capability of analyzing, tracking and positioning faults so as to find the reasons and positions of the faults more quickly and take corresponding repairing measures. The design can reduce the influence of faults on production tasks and improve the usability and stability of the system.
As an embodiment of the present invention, the system further comprises:
a database module: the database module is used for storing real-time monitoring data and fault events. The module may employ a relational database or other suitable database technology for persistently storing real time monitoring data of the system and fault events. The real-time monitoring data may include sensor data, equipment status, production parameters, etc., which are continuously collected and updated during the production process. The fault events include a primary system fault, a backup system fault, an alarm event, and the like. The database module can reliably store and manage the data for subsequent query, analysis and backtracking.
And a data analysis module: the data analysis module is used for performing offline analysis on the historical data so as to improve and optimize the system. The module may utilize historical data in the database for various analyses and mining, such as trend analysis, anomaly detection, performance assessment, and the like. Through analysis of the historical data, potential problems and improvement points can be found, and targeted suggestions and decision support can be provided. The data analysis module may employ various data analysis techniques and algorithms, such as statistical analysis, machine learning, artificial intelligence, etc., to extract valuable information and knowledge from a large amount of historical data.
In particular, the combination of the database module and the data analysis module provides for the storage and management of real-time monitoring data and fault events, as well as the offline analysis and mining of historical data. The database module may ensure reliable storage of real-time monitoring data and fault events and provide fast data access and query capabilities. The data analysis module helps to find potential problems and improvement points of the system through analysis of historical data, and provides powerful support for optimization and upgrading of the system. The design can improve the reliability and performance of the system, and provides a basis for continuous improvement and optimization of the system.
As an embodiment of the present invention, the system further comprises:
a user interface module: the user interface module is used for displaying the real-time state of the main system, the analysis result of the monitoring module and the operation condition of the standby system. The module provides an intuitive and easy-to-operate interface for an operator or related personnel to view the operating conditions and status of the system. The user interface can adopt a graphical interface or a text interface so as to adapt to the requirements and operation habits of different users.
The main functions are as follows:
and (3) displaying real-time states: the user interface module may display real-time status of the host system including equipment status, production parameters, sensor data, etc. Through visual interface display, operators can know the running condition of the main system in real time and discover abnormality and problems in time.
And (3) analysis result display of the monitoring module: the user interface module can display the analysis result of the monitoring module on the real-time data. The monitoring module can monitor and analyze the real-time data in real time to find abnormal conditions and trends, such as equipment fault early warning, production quality abnormality and the like. The user interface may present these analysis results to the operator in an easy to understand and view manner so that they can take appropriate action in time.
And (3) displaying the running condition of the standby system: the user interface module may present the operational status and status of the backup system. The standby system takes over tasks when the main system fails, and performs control, coordination and communication. The user interface may display information such as an operation state of the standby system, a fault recovery condition, etc., so that an operator can know the operation condition of the standby system.
Specifically, through the user interface module, an operator or related personnel can intuitively know the real-time state of the main system, the analysis result of the monitoring module and the operation condition of the standby system. The design makes the operation and management of the system more convenient and visual, improves the control capability of operators on the system, is beneficial to timely finding and processing abnormal conditions, and ensures the stable operation of the system.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein 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. A metal part production management system, comprising:
the main system module is used for controlling the production process of the metal parts;
the monitoring module is used for collecting the running state of the main system in real time and analyzing data;
the standby system module is used for taking over the production task when the monitoring module monitors the main system fault;
the data buffer module is used for storing the production data generated by the main system module, and the standby system module can read the production data from the data buffer module for synchronization when taking over the production task.
2. The metal part production management system of claim 1, wherein the main system module comprises:
the first control module is used for executing control and coordination of production tasks;
the first execution module is used for controlling the production process according to the instruction of the control module;
and the first communication module is used for carrying out data exchange and communication with the monitoring module and the data buffer area module.
3. The metal part production management system of claim 1, wherein the monitoring module comprises:
the data acquisition module acquires the running state of the main system in real time;
and the abnormality detection model module monitors the running state of the main system in real time through machine learning and statistical analysis technology to find abnormal conditions.
4. The metal part production management system of claim 1, wherein the monitoring module further comprises:
the log stream acquisition module is used for acquiring log stream data of the main system in real time;
the stream processing engine module is used for processing and analyzing the real-time log stream of the main system;
and the identification algorithm module is used for intelligently analyzing the real-time log stream and finding out a potential abnormal mode.
5. The metal part production management system of claim 1, wherein the monitoring module further comprises:
the heartbeat interval module is used for receiving the heartbeat signal sent by the main system in real time;
and the fault processing module is used for outputting a main system fault signal when the heartbeat signal does not arrive on time.
6. The metal part production management system of claim 1, wherein the backup system module comprises:
the second control module is used for executing control and coordination of the production task when taking over the production task;
the second execution module is used for controlling the production process according to the instruction of the second control module when taking over the production task;
and the second communication module is used for carrying out data exchange and communication with the monitoring module and the data buffer area module.
7. The metal part production management system of claim 1, wherein the data buffer module comprises a module:
the data writing module is used for receiving the production data acquired by the main system and writing the production data into the buffer area;
the data reading module is used for reading production data from the buffer area by the standby system to carry out production tasks;
and the consistency check module is used for ensuring that the production data between the main system and the standby system keep consistent.
8. The metal part production management system according to claim 1, further comprising:
the fault alarm module is used for triggering an alarm signal when the main system fails;
and the fault tracing module is used for tracing and positioning faults.
9. The metal part production management system according to claim 1, further comprising:
the database module is used for storing real-time monitoring data and fault events;
and the data analysis module is used for performing offline analysis on the historical data so as to improve the system later.
10. The metal part production management system according to claim 1, further comprising:
and the user interface module is used for displaying the real-time state of the main system, the analysis result of the monitoring module and the running condition of the standby system.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009211517A (en) * | 2008-03-05 | 2009-09-17 | Nec Corp | Virtual computer redundancy system |
| CN106527378A (en) * | 2016-12-12 | 2017-03-22 | 宜春万申制药机械有限公司 | Intelligent integrated solid preparation controlling and managing production line |
| CN110908345A (en) * | 2019-11-06 | 2020-03-24 | 苏州朗威电子机械股份有限公司 | Monitoring feedback system for server cabinet production |
| CN114326559A (en) * | 2022-02-09 | 2022-04-12 | 保定市冀能电力自动化设备有限公司 | Power dispatching monitoring system and method |
| CN115694749A (en) * | 2022-10-25 | 2023-02-03 | 重庆长安汽车股份有限公司 | Application redundancy method, device, equipment and storage medium |
| CN116500943A (en) * | 2023-04-25 | 2023-07-28 | 哈尔滨工业大学（威海） | Redundant control system of underwater robot |
| CN116719222A (en) * | 2023-08-07 | 2023-09-08 | 哈尔滨凯纳科技股份有限公司 | Remote terminal redundant control system of secondary water supply pump station |
| CN116859707A (en) * | 2023-07-31 | 2023-10-10 | 河北三佳电子有限公司 | Redundant hot backup vehicle-mounted communication-in-motion main control system |
| CN116880412A (en) * | 2023-08-10 | 2023-10-13 | 上海兴岩信息科技有限公司 | Visual production management platform based on cloud |
-
2023
- 2023-11-28 CN CN202311598493.9A patent/CN117519039A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009211517A (en) * | 2008-03-05 | 2009-09-17 | Nec Corp | Virtual computer redundancy system |
| CN106527378A (en) * | 2016-12-12 | 2017-03-22 | 宜春万申制药机械有限公司 | Intelligent integrated solid preparation controlling and managing production line |
| CN110908345A (en) * | 2019-11-06 | 2020-03-24 | 苏州朗威电子机械股份有限公司 | Monitoring feedback system for server cabinet production |
| CN114326559A (en) * | 2022-02-09 | 2022-04-12 | 保定市冀能电力自动化设备有限公司 | Power dispatching monitoring system and method |
| CN115694749A (en) * | 2022-10-25 | 2023-02-03 | 重庆长安汽车股份有限公司 | Application redundancy method, device, equipment and storage medium |
| CN116500943A (en) * | 2023-04-25 | 2023-07-28 | 哈尔滨工业大学（威海） | Redundant control system of underwater robot |
| CN116859707A (en) * | 2023-07-31 | 2023-10-10 | 河北三佳电子有限公司 | Redundant hot backup vehicle-mounted communication-in-motion main control system |
| CN116719222A (en) * | 2023-08-07 | 2023-09-08 | 哈尔滨凯纳科技股份有限公司 | Remote terminal redundant control system of secondary water supply pump station |
| CN116880412A (en) * | 2023-08-10 | 2023-10-13 | 上海兴岩信息科技有限公司 | Visual production management platform based on cloud |
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