CN112363461A - Industrial field data acquisition and control system - Google Patents
Industrial field data acquisition and control system Download PDFInfo
- Publication number
- CN112363461A CN112363461A CN202010981681.XA CN202010981681A CN112363461A CN 112363461 A CN112363461 A CN 112363461A CN 202010981681 A CN202010981681 A CN 202010981681A CN 112363461 A CN112363461 A CN 112363461A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- equipment
- data acquisition
- processing
- 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.)
- Pending
Links
Images
Classifications
-
- 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]
- G05B19/4183—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 data acquisition, e.g. workpiece identification
-
- 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]
- G05B19/4185—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 the network communication
- G05B19/4186—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 the network communication by protocol, e.g. MAP, TOP
-
- 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
-
- 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 invention discloses an industrial field data acquisition and control system, which comprises a management module, a scheduling module and a communication module, wherein the management module comprises an equipment management module, an alarm analysis module, an exception handling module and a data management module; the management module, the scheduling module and the communication module are in modular design and all support independent deployment, network communication, data transmission and file sharing are carried out among the modules through a TCP/IP protocol, feedback verification of transmission data packets is supported, and stability of data transmission is guaranteed. The industrial field data acquisition and control system is communicated with the manufacturing execution system through the interface module and is used for uploading real-time data of the equipment processing process and acquiring control instructions issued by the upstream management system, so that complete operation configuration, data processing and storage and standardized interface service are provided.
Description
Technical Field
The invention relates to the technical field of industrial field data acquisition and control, in particular to an industrial field data acquisition and control system.
Background
In the manufacturing field, with the continuous promotion of industrial automation and informatization processes, the manufacturing technology is gradually combined with an automation technology, an information technology and a modern management technology, and a batch of modern production management concepts also appear; meanwhile, with the proposal of intelligent manufacturing, the generation of new technology and the application of big data in industrial production are based on various data collected from equipment, and the data are combined with a corresponding production management system to realize real unmanned intelligent production. However, due to the weakness of the current industry base, many concepts are still vision at present, and no specific reliable implementation process is available.
Disclosure of Invention
The invention aims to solve the problem that the multi-source, heterogeneous and massive characteristics of industrial field device data cause difficulty in device data acquisition and interaction between the device data and an upstream service system, and provides an industrial field data acquisition and control system aiming at the defects.
In order to solve the above problems, the present invention provides an industrial field data acquisition and control system, which is characterized in that: the system comprises a management module, a scheduling module and a communication module, wherein the management module comprises an equipment management module, an alarm analysis module, an exception handling module and a data management module, the scheduling module comprises a data acquisition processing module and a simulation debugging module, and the communication module comprises a system configuration module, an interface module, an instruction processing module and an authorization processing module; the management module, the scheduling module and the communication module are in modular design and all support independent deployment, network communication, data transmission and file sharing are carried out among the modules through a TCP/IP protocol, feedback verification of a transmission data packet is supported, and stability of data transmission is guaranteed;
the management module is deployed on the server, and a user can access the management module through a browser and is used for inputting basic data, acquiring production unit operation data and displaying production task statistics; the scheduling module runs in the background and receives the production tasks issued by the management module in real time, monitors the execution progress of the production tasks and schedules equipment to execute processing tasks; the communication module is used for providing data interaction for various types of equipment and providing various basic support services for normal operation of the system, including data acquisition, state feedback, instruction issuing and fault early warning; the three modules carry out data communication through a database, a socket interface and a webservice interface, and coordinate to finish the flexible manufacturing process of the production unit.
Furthermore, the management module is used for managing resources, tasks, processes and other data required by the production process, dynamically scheduling the processing equipment and the logistics equipment to execute different processing tasks according to the equipment state and the real-time operation data, and ensuring that the executed activities of the production resources do not conflict.
Further, the management module comprises: the device comprises an equipment management module, an alarm analysis module, an exception handling module and a data management module;
the equipment management module is used for managing various types of accessed equipment, performing classified management according to types, configuring ID, IP and protocol of the equipment and defining variables and marker lights used in a communication layer, and realizing multiplexing of an equipment data interface and a control instruction to the maximum extent;
the alarm analysis module realizes automatic early warning and reminding aiming at equipment faults, abnormal collected data and other conditions.
The exception handling module records an exception event in the operation process of the middleware of the communication layer, and improves the handling performance, stability and robustness of the system;
the data management module comprises three functional units of data acquisition, data cleaning and data storage, wherein the output end of the data acquisition is connected with the input end of the data cleaning, the data is stored after the data is normalized, and a small relational database storage service is provided for configuration information and data needing to be temporarily stored.
Further, the scheduling module needs to obtain data such as production task information, process flow information, inventory information, a processing NC program, an inspection program, and the like from the management module for controlling the equipment to perform processing or inspection, and the management module needs to obtain a processing progress and completion condition of the production task, a part processing instruction, equipment operation data, and a schedulable activity, that is, start time and completion time of the scheduling instruction from the scheduling module.
Furthermore, the scheduling module comprises a data acquisition processing module and a simulation debugging module;
the data acquisition processing module carries out logic and operation processing and local persistence on the original acquired data according to the control logic of the production line equipment, and reports the measurement result and the data information of the intelligent library inventory and the energy equipment to an upstream management system;
furthermore, the simulation debugging module can perform simulation input and output processing on various connected devices, and can debug the data interaction process of an upstream business system and a data acquisition system in a simulation environment, the simulation debugging module faces an instruction set formed by m devices and n workpieces to be processed, based on dynamic real-time data acquisition and a flexible production line real-time adaptive control method, rapidly senses dynamic events in production and operation by using the technology of internet of things, then rapidly constructs feasible solutions, outputs an optimal processing path, achieves the purpose of dynamic simulation adjustment of mass production control instructions according to production real-time data, and further achieves device adaptive control.
Furthermore, the communication module is a part for converting the scheduling instruction into a driving device execution instruction, the instruction analysis and conversion are core contents of the communication module, and meanwhile, an NC program, an inspection program and the like need to be acquired according to the scheduling instruction, and acquired device data, a processing task completion condition and a monitored data condition need to be fed back to the scheduling module.
Further, the communication module includes: the system comprises a system configuration module, an interface management module, an instruction processing module and an authorization processing module;
the system configuration module completes configuration and management of a data communication protocol, and comprises a PLC data parameter item, a conversion coefficient and an address, an upper computer API interface address and a transmitted parameter, namely, a related configuration interface is provided, various configuration information is solidified into a local database, and dynamic management of a control flow is realized;
the command processing module analyzes and processes the equipment operation command aiming at the condition that the equipment operation command of the CNC machine tool system is complex;
wherein the authorization processing module: an access authorization authentication mechanism with an upstream management system interface is provided to prevent unauthorized and illegal access;
the interface management module is used for processing instruction information mutually transmitted between an upstream management system and equipment, CAN perform data communication with a main communication protocol, and comprises Modbus, CAN, OPC, DDE, MQTT, WebService REST/XML and COM.
Furthermore, the data management module provides a small-sized relational database storage service for the configuration information and the data needing to be temporarily stored, and the database and the communication layer middleware are deployed on the same server.
Furthermore, the simulation debugging module can realize the simulation input and output processing of various connected devices, and the data interaction process of the upstream business system and the data acquisition system is debugged under the simulation environment.
Has the advantages that:
the invention realizes the support of data service type multi-source: covering production process data, warehouse logistics data, equipment running state monitoring data, quality inspection data, environment monitoring data, electronic identification data and the like; support the multiple source of the physical device: the system comprises intelligent processing equipment, digital inspection equipment, intelligent production line monitoring/control equipment, an intelligent sensor, electronic identification equipment and the like; supporting dataform polymorphisms: the method covers the collection and processing of digital quantity signals/analog quantity signals, text information, graphic image information, audio and video information and the like.
Drawings
Fig. 1 is a block diagram of the structure of an upstream service system and a data acquisition system.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying 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, rather than all embodiments, and all other embodiments obtained by a person skilled in the art based on the embodiments of the present invention belong to the protection scope of the present invention without creative efforts.
The embodiment of the invention provides an industrial field data acquisition and control system, and the invention is further described in detail by a specific implementation mode.
Referring to fig. 1, the present invention discloses an industrial field data acquisition and control system, which includes a management module, a scheduling module and a communication module, wherein the management module includes an equipment management module, an alarm analysis module, an exception handling module and a data management module, the scheduling module includes a data acquisition processing module and a simulation debugging module, and the communication module includes a system configuration module, an interface module, an instruction processing module and an authorization processing module. A management module, a scheduling module and a communication module in the industrial field data acquisition and control system adopt a modular design idea and support independent deployment, network communication, data transmission and file sharing are carried out among the modules through a TCP/IP protocol, feedback verification of a transmission data packet is supported, and stability of data transmission is guaranteed.
A management module of the industrial field data acquisition and control system is deployed in a server, and a user can access the server through a browser and is used for inputting basic data, acquiring production unit operation data, displaying production task statistics and the like; the scheduling module is an application program which runs in real time in a background, receives the production task issued by the management module in real time, monitors the execution progress of the production task, and schedules equipment to execute a processing task, and is a core module of the whole software system; the communication module is a bridge and a link for data interaction between the system and various types of equipment, and provides various basic support services such as data acquisition, state feedback, instruction issuing, fault early warning and the like for normal operation of the system. The three modules carry out data communication through a database, a socket interface and a webservice interface, and coordinate to finish the flexible manufacturing process of the production unit.
The management module is mainly used for managing resources, tasks, processes and other data required by the production process, dynamically scheduling the processing equipment and the logistics equipment to execute different processing tasks according to the equipment state and the real-time operation data, and ensuring that the executed activities among the production resources are not conflicted.
The management module comprises: the device comprises an equipment management module, an alarm analysis module, an exception handling module and a data management module;
the equipment management module is used for managing various types of accessed equipment, performing classified management according to types, configuring ID, IP and protocol of the equipment and defining variables and marker lights used in a communication layer, and realizing multiplexing of an equipment data interface and a control instruction to the maximum extent.
The alarm analysis module realizes automatic early warning and reminding aiming at equipment faults, abnormal collected data and other conditions.
The exception handling module records an exception event in the operation process of the middleware of the communication layer, and improves the handling performance, stability and robustness of the system.
The data management module comprises three functional units of data acquisition, data cleaning and data storage, wherein the output end of the data acquisition is connected with the input end of the data cleaning, the data is stored after the data is normalized, and a small relational database storage service is provided for configuration information and data needing to be temporarily stored.
The scheduling module needs to acquire data such as production task information, process flow information, inventory information, a processing NC program, an inspection program and the like from the management module for controlling the equipment to perform processing or inspection, and the management module needs to acquire the processing progress and completion condition of the production task, a part processing instruction, equipment operation data, start time and completion time of schedulable activity (scheduling instruction) and the like from the scheduling module.
The scheduling module comprises a data acquisition processing module and a simulation debugging module;
the data acquisition processing module performs logic and operation processing and local persistence on the original acquired data according to the production line equipment control logic, and manages and reports the measurement result and information such as intelligent library inventory and energy equipment data to an upstream management system.
The simulation debugging module can be used for carrying out simulation input and output processing on various connected devices and debugging the data interaction process of the upstream business system and the data acquisition system in a simulation environment. The traditional field data acquisition system mainly realizes the functions of data real-time acquisition and visual display, and the simulation mainly takes off-line and after the events. The simulation debugging module is used for facing an instruction set formed by m devices and n workpieces to be processed, rapidly sensing dynamic events in production operation by using the Internet of things technology based on dynamic real-time data acquisition and a flexible production line real-time adaptive control method, rapidly constructing a feasible solution, outputting an optimal processing path, achieving the purpose of dynamically simulating and adjusting mass production control instructions according to production real-time data, and further realizing device adaptive control.
According to the preferred embodiment of the invention, the production line real-time adaptive control method can select an ant colony algorithm, and construct a feasible solution by using the characteristics of the ant colony algorithm, such as stronger robustness, excellent distributed computing mechanism and the like;
the communication module is a part for converting a scheduling instruction into a driving device execution instruction, the instruction analysis and conversion are core contents of the communication module, an NC program, an inspection program and the like are required to be acquired according to the scheduling instruction, and acquired device data, a processing task completion condition and a monitored data condition are required to be fed back to the scheduling module.
The communication module includes: the system comprises a system configuration module, an interface management module, an instruction processing module and an authorization processing module;
the system configuration module completes configuration and management of a data communication protocol, such as defining PLC data parameter items, conversion coefficients and addresses, defining upper computer API interface addresses, transmitted parameters and the like, namely providing a relevant configuration interface, solidifying various configuration information into a local database, and realizing dynamic management of a control flow.
The command processing module analyzes and processes the equipment operation command aiming at the condition that the equipment operation command of the CNC machine tool system is complex.
Wherein the authorization processing module: an access authorization authentication mechanism with an upstream management system interface is provided to prevent unauthorized and illegal access.
The interface management module is used for processing instruction information mutually transmitted between an upstream management system and equipment, and CAN perform data communication with a main communication protocol, wherein the instruction information comprises Modbus, CAN, OPC, DDE, MQTT, WebService REST/XML, COM and the like.
Although illustrative embodiments of the present invention have been described above to facilitate the understanding of the present invention by those skilled in the art, it should be understood that the present invention is not limited to the scope of the embodiments, but various changes may be apparent to those skilled in the art, and it is intended that all inventive concepts utilizing the inventive concepts set forth herein be protected without departing from the spirit and scope of the present invention as defined and limited by the appended claims.
Claims (10)
1. An industrial field data acquisition and control system which is characterized in that: the system comprises a management module, a scheduling module and a communication module, wherein the management module comprises an equipment management module, an alarm analysis module, an exception handling module and a data management module, the scheduling module comprises a data acquisition processing module and a simulation debugging module, and the communication module comprises a system configuration module, an interface module, an instruction processing module and an authorization processing module; the management module, the scheduling module and the communication module are in modular design and all support independent deployment, network communication, data transmission and file sharing are carried out among the modules through a TCP/IP protocol, feedback verification of a transmission data packet is supported, and stability of data transmission is guaranteed;
the management module is deployed on the server, and a user can access the management module through a browser and is used for inputting basic data, acquiring production unit operation data and displaying production task statistics; the scheduling module runs in the background and receives the production tasks issued by the management module in real time, monitors the execution progress of the production tasks and schedules equipment to execute processing tasks; the communication module is used for providing data interaction for various types of equipment and providing various basic support services for normal operation of the system, including data acquisition, state feedback, instruction issuing and fault early warning; the three modules carry out data communication through a database, a socket interface and a webservice interface, and coordinate to finish the flexible manufacturing process of the production unit.
2. The industrial field data acquisition and control system of claim 1, wherein: the management module is used for managing resources, tasks, processes and other data required by the production process, dynamically scheduling the processing equipment and the logistics equipment to execute different processing tasks according to the equipment state and the real-time operation data, and ensuring that the executed activities of the production resources do not conflict.
3. The industrial field data acquisition and control system of claim 2, wherein: the management module comprises: the device comprises an equipment management module, an alarm analysis module, an exception handling module and a data management module;
the equipment management module is used for managing various types of accessed equipment, performing classified management according to types, configuring ID, IP and protocol of the equipment and defining variables and marker lights used in a communication layer, and realizing multiplexing of an equipment data interface and a control instruction to the maximum extent;
the alarm analysis module realizes automatic early warning and reminding aiming at equipment faults, abnormal collected data and other conditions;
the exception handling module records an exception event in the operation process of the middleware of the communication layer, and improves the handling performance, stability and robustness of the system;
the data management module comprises three functional units of data acquisition, data cleaning and data storage, wherein the output end of the data acquisition is connected with the input end of the data cleaning, the data is stored after the data is normalized, and a small relational database storage service is provided for configuration information and data needing to be temporarily stored.
4. The industrial field data acquisition and control system of claim 1, wherein:
the scheduling module needs to acquire data such as production task information, process flow information, inventory information, a processing NC program, an inspection program and the like from the management module and is used for controlling equipment to process or inspect, and the management module needs to acquire the processing progress and completion condition of the production task, part processing instructions, equipment operation data, and schedulable activities, namely the starting time and completion time of the scheduling instructions from the scheduling module.
5. The industrial field data acquisition and control system of claim 4, wherein:
the scheduling module comprises a data acquisition processing module and a simulation debugging module;
the data acquisition processing module carries out logic and operation processing and local persistence on the original acquired data according to the production line equipment control logic, and reports the measurement result and the intelligent library inventory and energy equipment data information to the upstream management system.
6. The industrial field data acquisition and control system of claim 1, wherein:
the simulation debugging module can be used for carrying out simulation input and output processing on various connected devices and debugging the data interaction process of an upstream business system and a data acquisition system in a simulation environment, the simulation debugging module faces an instruction set formed by m devices and n workpieces to be processed, dynamic events in production and operation are quickly sensed by using the Internet of things technology based on a dynamic real-time data acquisition and flexible production line real-time adaptive control method, then feasible solutions are quickly constructed, an optimal processing path is output, the purpose of dynamic simulation adjustment of mass production control instructions according to production real-time data is achieved, and further device adaptive control is achieved.
7. The industrial field data acquisition and control system of claim 1, wherein:
the communication module is a part for converting a scheduling instruction into a driving device execution instruction, the instruction analysis and conversion are core contents of the communication module, an NC program, an inspection program and the like are required to be acquired according to the scheduling instruction, and acquired device data, a processing task completion condition and a monitored data condition are also required to be fed back to the scheduling module.
8. The industrial field data acquisition and control system of claim 7, wherein:
the communication module includes: the system comprises a system configuration module, an interface management module, an instruction processing module and an authorization processing module;
the system configuration module completes configuration and management of a data communication protocol, and comprises a PLC data parameter item, a conversion coefficient and an address, an upper computer API interface address and a transmitted parameter, namely, a related configuration interface is provided, various configuration information is solidified into a local database, and dynamic management of a control flow is realized;
the command processing module analyzes and processes the equipment operation command aiming at the condition that the equipment operation command of the CNC machine tool system is complex;
wherein the authorization processing module: an access authorization authentication mechanism with an upstream management system interface is provided to prevent unauthorized and illegal access;
the interface management module is used for processing instruction information mutually transmitted between an upstream management system and equipment, CAN perform data communication with a main communication protocol, and comprises Modbus, CAN, OPC, DDE, MQTT, WebService REST/XML and COM.
9. The industrial field data acquisition and control system of claim 1, wherein: the data management module provides a small-sized relational database storage service for the configuration information and the data needing to be temporarily stored, and the database and the communication layer middleware are deployed on the same server.
10. The industrial field data acquisition and control system of claim 1, wherein: the simulation debugging module can realize the simulation input and output processing of various connected devices and debug the data interaction process of the upstream service system and the data acquisition system under the simulation environment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010981681.XA CN112363461A (en) | 2020-09-17 | 2020-09-17 | Industrial field data acquisition and control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010981681.XA CN112363461A (en) | 2020-09-17 | 2020-09-17 | Industrial field data acquisition and control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112363461A true CN112363461A (en) | 2021-02-12 |
Family
ID=74516832
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010981681.XA Pending CN112363461A (en) | 2020-09-17 | 2020-09-17 | Industrial field data acquisition and control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112363461A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113188495A (en) * | 2021-05-07 | 2021-07-30 | 西安医学院 | Dimension out-of-tolerance intelligent verification system applied to preparation of single crystal blade mould shell |
| CN113660549A (en) * | 2021-07-20 | 2021-11-16 | 清华大学 | Integrated acquisition method and system for disaster accident test data in subway |
| CN113703409A (en) * | 2021-08-31 | 2021-11-26 | 中冶华天南京工程技术有限公司 | Belt flow data acquisition and control system for iron and steel enterprise |
| CN114510367A (en) * | 2022-01-11 | 2022-05-17 | 电子科技大学 | Safe and intelligent multi-source heterogeneous data processing system |
| CN114785840A (en) * | 2022-04-19 | 2022-07-22 | 深圳市玄羽科技有限公司 | Database management system applied to industrial internet and control method thereof |
| CN116360376A (en) * | 2023-05-31 | 2023-06-30 | 超音速人工智能科技股份有限公司 | MES system-based machine equipment operation parameter processing method and system |
| CN116846987A (en) * | 2023-09-01 | 2023-10-03 | 山东省信息技术产业发展研究院(中国赛宝(山东)实验室) | Interactive interface generation method and system of industrial Internet |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040064390A1 (en) * | 2002-09-26 | 2004-04-01 | Wagewatch, Inc. | User customizable statistical information system |
| CN101976067A (en) * | 2010-09-19 | 2011-02-16 | 合肥工业大学 | Flexible assembly line management control experiment platform and management control experiment method |
| CN107065802A (en) * | 2017-05-05 | 2017-08-18 | 河南中鸿集团煤化有限公司 | A kind of automatic management scheduling system of the energy |
| CN108320069A (en) * | 2017-12-20 | 2018-07-24 | 甘肃银光化学工业集团有限公司 | A kind of manufacturing execution system |
| CN109426205A (en) * | 2017-09-05 | 2019-03-05 | 万洲电气股份有限公司 | A kind of industrial intelligent Optimization of Energy Saving system |
| CN109559027A (en) * | 2018-11-20 | 2019-04-02 | 冶金自动化研究设计院 | Planning scheduling system applied to iron and steel enterprise's high-speed tool steel smelting process |
-
2020
- 2020-09-17 CN CN202010981681.XA patent/CN112363461A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040064390A1 (en) * | 2002-09-26 | 2004-04-01 | Wagewatch, Inc. | User customizable statistical information system |
| CN101976067A (en) * | 2010-09-19 | 2011-02-16 | 合肥工业大学 | Flexible assembly line management control experiment platform and management control experiment method |
| CN107065802A (en) * | 2017-05-05 | 2017-08-18 | 河南中鸿集团煤化有限公司 | A kind of automatic management scheduling system of the energy |
| CN109426205A (en) * | 2017-09-05 | 2019-03-05 | 万洲电气股份有限公司 | A kind of industrial intelligent Optimization of Energy Saving system |
| CN108320069A (en) * | 2017-12-20 | 2018-07-24 | 甘肃银光化学工业集团有限公司 | A kind of manufacturing execution system |
| CN109559027A (en) * | 2018-11-20 | 2019-04-02 | 冶金自动化研究设计院 | Planning scheduling system applied to iron and steel enterprise's high-speed tool steel smelting process |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113188495A (en) * | 2021-05-07 | 2021-07-30 | 西安医学院 | Dimension out-of-tolerance intelligent verification system applied to preparation of single crystal blade mould shell |
| CN113188495B (en) * | 2021-05-07 | 2024-03-26 | 西安医学院 | Intelligent verification system for dimension out-of-tolerance for preparing single crystal blade mould shell |
| CN113660549A (en) * | 2021-07-20 | 2021-11-16 | 清华大学 | Integrated acquisition method and system for disaster accident test data in subway |
| CN113703409A (en) * | 2021-08-31 | 2021-11-26 | 中冶华天南京工程技术有限公司 | Belt flow data acquisition and control system for iron and steel enterprise |
| CN114510367A (en) * | 2022-01-11 | 2022-05-17 | 电子科技大学 | Safe and intelligent multi-source heterogeneous data processing system |
| CN114510367B (en) * | 2022-01-11 | 2023-06-02 | 电子科技大学 | Safe and intelligent multi-source heterogeneous data processing system |
| CN114785840A (en) * | 2022-04-19 | 2022-07-22 | 深圳市玄羽科技有限公司 | Database management system applied to industrial internet and control method thereof |
| CN116360376A (en) * | 2023-05-31 | 2023-06-30 | 超音速人工智能科技股份有限公司 | MES system-based machine equipment operation parameter processing method and system |
| CN116360376B (en) * | 2023-05-31 | 2023-09-15 | 超音速人工智能科技股份有限公司 | MES system-based machine equipment operation parameter processing method and system |
| CN116846987A (en) * | 2023-09-01 | 2023-10-03 | 山东省信息技术产业发展研究院(中国赛宝(山东)实验室) | Interactive interface generation method and system of industrial Internet |
| CN116846987B (en) * | 2023-09-01 | 2023-11-07 | 山东省信息技术产业发展研究院(中国赛宝(山东)实验室) | Interactive interface generation method and system of industrial Internet |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112363461A (en) | Industrial field data acquisition and control system | |
| EP3285127B1 (en) | Remote industrial automation site operation in a cloud platform | |
| CN107026894B (en) | Apparatus and method for automatic notification through industrial asset delivery | |
| US7742833B1 (en) | Auto discovery of embedded historians in network | |
| CN102882724B (en) | Field bus equipment monitoring and management method | |
| US7162312B2 (en) | Method, system and device for predictive error recognition in a plant | |
| US20150019191A1 (en) | Industrial simulation using redirected i/o module configurations | |
| US7809656B2 (en) | Microhistorians as proxies for data transfer | |
| KR20090124514A (en) | A product lifecycle information management system using ubiquitous technology | |
| CN101441467A (en) | Targeted resource allocation | |
| CN101408767A (en) | Correlation of non-times series events in industrial systems | |
| CN112150125B (en) | Industrial information system and industrial information system construction method | |
| CN202886953U (en) | Profibus device monitoring and managing system | |
| CN113867305A (en) | Multi-source data acquisition system for automatic machine production line | |
| Nikolakis et al. | A cyber-physical context-aware system for coordinating human-robot collaboration | |
| Fleischmann et al. | A modular web framework for socio-CPS-based condition monitoring | |
| Katz et al. | Open architecture control technology trends | |
| Lin et al. | Integration of logic controller with IoT to form a manufacturing edge computing environment: a premise | |
| CN104965497B (en) | Online creation data quickly generates and management method and system | |
| CN112987667B (en) | Equipment remote configuration system and method of flexible manufacturing production line based on OPC UA | |
| CN114995302A (en) | Intelligent control method and system | |
| CN113536439A (en) | Management platform with comprehensive intelligent operation and maintenance | |
| Rodrigues et al. | Multi-approach debugging of industrial IoT workflows | |
| KR102415711B1 (en) | Monitoring system for real-time based data preprocessing and anomaly detection | |
| Gomez | Survey of SCADA Systems and Visualization of a real life process |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210212 |
|
| WD01 | Invention patent application deemed withdrawn after publication |