CN112180827A - Intelligent automatic control system of port machine - Google Patents
Intelligent automatic control system of port machine Download PDFInfo
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- CN112180827A CN112180827A CN202011070823.3A CN202011070823A CN112180827A CN 112180827 A CN112180827 A CN 112180827A CN 202011070823 A CN202011070823 A CN 202011070823A CN 112180827 A CN112180827 A CN 112180827A
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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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/054—Input/output
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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
- G05B2219/10—Plc systems
- G05B2219/11—Plc I-O input output
- G05B2219/1103—Special, intelligent I-O processor, also plc can only access via processor
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Abstract
The invention discloses an intelligent automatic control system for a port machine, which belongs to the technical field of port machine control and links CAN bus signals of port machine field equipment and Modelbus signals of an Internet of things platform, and uniformly links port machine field equipment instruments to the intelligent automatic control system for the port machine. This intelligent automatic control system of port machine links port machine field device's CAN bus signal and the Modelbus signal of thing networking platform, links port machine field device instrument in the intelligent automatic control system of port machine in the unity, will not receive the influence of the traditional mode of local control to realize internet remote control's effect, realize real-time data inquiry and remote data read-write ability, CAN look over the equipment user state.
Description
Technical Field
The invention belongs to the technical field of port machinery control, and particularly relates to an intelligent automatic port machinery control system.
Background
The port undertakes the tasks of loading, unloading, storing, processing and transporting raw materials, is the first production procedure in the major production, and the automatic management level of the equipment directly influences the yield and the quality of products and the service life of the equipment. Therefore, the working state of the equipment needs to be monitored online, faults should be alarmed in time when production or equipment is abnormal, and the operating parameters of the equipment are saved so as to facilitate maintenance and management of the equipment.
With the vigorous development of port logistics, people put forward more and more rigorous requirements on the control mode of port machinery equipment, the traditional control mode cannot meet the field requirements due to the characteristics of dispersion, local control and the like, and the defects are particularly reflected in the aspects of equipment remote management, system decision analysis and the like which are regarded by users as important, so that the traditional control mode is almost powerless, and the situation is particularly prominent in ports in China.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent automatic control system for a port machine, which aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a port machine intelligent automatic control system links CAN bus signals of port machine field devices and Modelbus signals of an Internet of things platform, and uniformly links port machine field device instruments to the port machine intelligent automatic control system, and comprises a remote device remote control subsystem, a remote device remote monitoring subsystem, a remote device maintenance subsystem, a port machine early warning subsystem and a device electronic ledger management subsystem;
the remote control subsystem of the remote equipment, combine the requirement and data, pronunciation, video communication requirement and an organic whole of port machine of the mobile office of user of port, realize the access of various information and media through the wireless local area network, realize the port machine operates and transmits of the control information, can rewrite the individual parameter at the same time, such as locking machine and starting up of the machinery of control port;
the remote equipment remote monitoring subsystem is used for checking the real-time state information and audio and video information of the port machine equipment, and packaging and storing the information, so that a user can conveniently retrieve the historical condition of the equipment at any time;
the remote equipment maintenance subsystem is used for remotely accessing a PLC system of the port machine and remotely diagnosing faults of large equipment, fault removal and emergency treatment can be carried out on field equipment without regional limitation based on the technology of the Internet of things, and the remote equipment maintenance subsystem is used for shortening the fault time of production equipment and improving the production efficiency of key equipment of the port machine;
the harbor machine early warning subsystem is used for monitoring and controlling the operation safety of the harbor machine in use and comprises an equipment work early warning module and a harbor district microclimate early warning module, wherein the equipment work early warning module is used for acquiring PLC data of the harbor machine, and the harbor district microclimate early warning module is used for providing weather early warning such as wind, rain and the like;
the equipment electronic standing book management subsystem is used for establishing a unified informationized electronic archive management system for large-scale mechanical equipment in a harbor area, and intelligently managing the large-scale harbor mechanical equipment by acquiring PLC system information and combining a thing networking technology.
Further optimizing the technical scheme, the equipment work early warning module in the port machine early warning subsystem counts the running time of the equipment mechanism through the collected PLC data, and provides effective basis for maintenance and maintenance cycles of each mechanism; through the operation record and the equipment load condition of gathering port machine driver, report to the police and the early warning is made to the dangerous operation that probably takes place in advance, reminds driver safety operation equipment, and the safety in production of guarantee production facility avoids taking place the incident.
According to the technical scheme, a harbor district microclimate early warning module in the harbor machine early warning subsystem is used for providing weather early warning such as wind and rain for production management personnel in a harbor district in advance by acquiring sensor signals such as anemometers and rain gauges of a plurality of information acquisition points erected at the front end of the harbor district, so that the safety of production operation in the harbor district is ensured.
Further optimizing the technical scheme, the port machine intelligent automatic control system is also provided with a port machine training subsystem, and a port machine driving/maintaining work flow of port machine equipment is rapidly mastered by a driver/maintainer through a software and hardware combined simulation operation platform, so that the training efficiency of the driver/maintainer is improved, and the risk of equipment failure and even safety accident caused by the fact that a novice directly operates the port machine equipment on site is reduced.
Further optimizing the technical scheme, the remote equipment remote monitoring subsystem reconstructs the historical operating condition of the equipment in an intuitive animation mode, thereby facilitating field maintenance and equipment management, or providing real and effective data for remote maintenance personnel to diagnose equipment faults; by collecting the operation records of the port machine driver and the equipment load condition, the system gives an alarm and pre-warns for dangerous operation which may happen in advance, reminds the driver of safe operation, records all operation behaviors and makes evidence for illegal operation.
According to the technical scheme, the remote equipment maintenance subsystem is used for acquiring information databases and information analysis knowledge bases of various port facilities, training early warning models and constructing an intelligent early warning and early warning maintenance system through deep machine learning, so that faults can be eliminated in advance and accidents can be effectively avoided.
Compared with the prior art, the invention provides an intelligent automatic control system for a port machine, which has the following beneficial effects:
this intelligent automatic control system of port machine links port machine field device's CAN bus signal and the Modelbus signal of thing networking platform, links port machine field device instrument in the intelligent automatic control system of port machine in the unity, will not receive the influence of the traditional mode of local control to realize internet remote control's effect, realize real-time data inquiry and remote data read-write ability, CAN look over the equipment user state.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent automatic control system of a port machine provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
referring to fig. 1, a port machine intelligent automatic control system links a CAN bus signal of a port machine field device and a Modelbus signal of an internet of things platform, and links a port machine field device instrument to the port machine intelligent automatic control system in a unified manner, and comprises a remote device remote control subsystem, a remote device remote monitoring subsystem, a remote device maintenance subsystem, a port machine early warning subsystem and a device electronic ledger management subsystem;
the remote control subsystem of the remote equipment, combine the requirement and data, pronunciation, video communication requirement and an organic whole of port machine of the mobile office of user of port, realize the access of various information and media through the wireless local area network, realize the port machine operates and transmits of the control information, can rewrite the individual parameter at the same time, such as locking machine and starting up of the machinery of control port;
the remote equipment remote monitoring subsystem is used for checking the real-time state information and audio and video information of the port machine equipment, and packaging and storing the information, so that a user can conveniently retrieve the historical condition of the equipment at any time;
the remote equipment maintenance subsystem is used for remotely accessing a PLC system of the port machine and remotely diagnosing faults of large equipment, fault removal and emergency treatment can be carried out on field equipment without regional limitation based on the technology of the Internet of things, and the remote equipment maintenance subsystem is used for shortening the fault time of production equipment and improving the production efficiency of key equipment of the port machine;
the harbor machine early warning subsystem is used for monitoring and controlling the operation safety of the harbor machine in use and comprises an equipment work early warning module and a harbor district microclimate early warning module, wherein the equipment work early warning module is used for acquiring PLC data of the harbor machine, and the harbor district microclimate early warning module is used for providing weather early warning such as wind, rain and the like;
the equipment electronic standing book management subsystem is used for establishing a unified informationized electronic archive management system for large-scale mechanical equipment in a harbor area, and intelligently managing the large-scale harbor mechanical equipment by acquiring PLC system information and combining a thing networking technology.
Specifically, an equipment work early warning module in the port machine early warning subsystem counts the running time of an equipment mechanism through collected PLC data, and provides an effective basis for maintenance cycles of each mechanism; through the operation record and the equipment load condition of gathering port machine driver, report to the police and the early warning is made to the dangerous operation that probably takes place in advance, reminds driver safety operation equipment, and the safety in production of guarantee production facility avoids taking place the incident.
Specifically, a harbor district microclimate early warning module in the harbor machine early warning subsystem provides weather early warning such as wind and rain for production management personnel in a harbor district in advance by acquiring sensor signals such as anemometers and rain gauges of a plurality of information acquisition points erected at the front end of the harbor district, so that the safety of harbor district production operation is ensured.
Specifically, the port machine intelligent automatic control system is also provided with a port machine training subsystem, and a port machine driving/maintenance work flow of port machine equipment is rapidly mastered by a driver/maintainer through a software and hardware combined simulation operation platform, so that the training efficiency of the driver/maintainer is improved, and the risk of equipment failure and even safety accident caused by the fact that a novice directly operates the port machine equipment on site is reduced.
Specifically, the remote equipment remote monitoring subsystem reconstructs the historical operating condition of the equipment in an intuitive animation mode, thereby facilitating field maintenance and equipment management, or providing real and effective data for remote maintenance personnel to diagnose equipment faults; by collecting the operation records of the port machine driver and the equipment load condition, the system gives an alarm and pre-warns for dangerous operation which may happen in advance, reminds the driver of safe operation, records all operation behaviors and makes evidence for illegal operation.
Specifically, the remote equipment maintenance subsystem acquires information databases and information analysis knowledge bases of various port facilities, trains an early warning model through deep machine learning, and constructs an intelligent early warning and early warning maintenance system for eliminating faults in advance and effectively avoiding accidents.
Example two:
a port machine intelligent automatic control system links CAN bus signals of port machine field devices and Modelbus signals of an Internet of things platform, and uniformly links port machine field device instruments to the port machine intelligent automatic control system, and comprises a remote device remote control subsystem, a remote device remote monitoring subsystem, a remote device maintenance subsystem, a port machine early warning subsystem and a device electronic ledger management subsystem;
the remote control subsystem of the remote equipment, combine the requirement and data, pronunciation, video communication requirement and an organic whole of port machine of port user's mobile office, realize the access of various information and media through the 5G network, realize the port machine operates and transmits of the control information, can rewrite the individual parameter at the same time, such as locking machine and starting up of the machinery of control port;
the remote equipment remote monitoring subsystem is used for checking the real-time state information and audio and video information of the port machine equipment, and packaging and storing the information, so that a user can conveniently retrieve the historical condition of the equipment at any time;
the remote equipment maintenance subsystem is used for remotely accessing a PLC system of the port machine and remotely diagnosing faults of large equipment, fault removal and emergency treatment can be carried out on field equipment without regional limitation based on the technology of the Internet of things, and the remote equipment maintenance subsystem is used for shortening the fault time of production equipment and improving the production efficiency of key equipment of the port machine;
the harbor machine early warning subsystem is used for monitoring and controlling the operation safety of the harbor machine in use and comprises an equipment work early warning module and a harbor district microclimate early warning module, wherein the equipment work early warning module is used for acquiring PLC data of the harbor machine, and the harbor district microclimate early warning module is used for providing weather early warning such as wind, rain and the like;
the equipment electronic standing book management subsystem is used for establishing a unified informationized electronic archive management system for large-scale mechanical equipment in a harbor area, and intelligently managing the large-scale harbor mechanical equipment by acquiring PLC system information and combining a thing networking technology.
Specifically, an equipment work early warning module in the port machine early warning subsystem counts the running time of an equipment mechanism through collected PLC data, and provides an effective basis for maintenance cycles of each mechanism; through the operation record and the equipment load condition of gathering port machine driver, report to the police and the early warning is made to the dangerous operation that probably takes place in advance, reminds driver safety operation equipment, and the safety in production of guarantee production facility avoids taking place the incident.
Specifically, a harbor district microclimate early warning module in the harbor machine early warning subsystem provides weather early warning such as wind and rain for production management personnel in a harbor district in advance by acquiring sensor signals such as anemometers and rain gauges of a plurality of information acquisition points erected at the front end of the harbor district, so that the safety of harbor district production operation is ensured.
Specifically, the port machine intelligent automatic control system is also provided with a port machine training subsystem, and a port machine driving/maintenance work flow of port machine equipment is rapidly mastered by a driver/maintainer through a software and hardware combined simulation operation platform, so that the training efficiency of the driver/maintainer is improved, and the risk of equipment failure and even safety accident caused by the fact that a novice directly operates the port machine equipment on site is reduced.
Specifically, the remote equipment remote monitoring subsystem reconstructs the historical operating condition of the equipment in an intuitive animation mode, thereby facilitating field maintenance and equipment management, or providing real and effective data for remote maintenance personnel to diagnose equipment faults; by collecting the operation records of the port machine driver and the equipment load condition, the system gives an alarm and pre-warns for dangerous operation which may happen in advance, reminds the driver of safe operation, records all operation behaviors and makes evidence for illegal operation.
Specifically, the remote equipment maintenance subsystem acquires information databases and information analysis knowledge bases of various port facilities, trains an early warning model through deep machine learning, and constructs an intelligent early warning and early warning maintenance system for eliminating faults in advance and effectively avoiding accidents.
The invention has the beneficial effects that: this intelligent automatic control system of port machine links port machine field device's CAN bus signal and the Modelbus signal of thing networking platform, links port machine field device instrument in the intelligent automatic control system of port machine in the unity, will not receive the influence of the traditional mode of local control to realize internet remote control's effect, realize real-time data inquiry and remote data read-write ability, CAN look over the equipment user state.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A port machine intelligent automatic control system links CAN bus signals of port machine field devices and Modelbus signals of an Internet of things platform, and uniformly links port machine field device instruments to the port machine intelligent automatic control system, and is characterized by comprising a remote device remote control subsystem, a remote device remote monitoring subsystem, a remote device maintenance subsystem, a port machine early warning subsystem and a device electronic ledger management subsystem;
the remote control subsystem of the remote equipment, combine the requirement and data, pronunciation, video communication requirement and an organic whole of port machine of the mobile office of user of port, realize the access of various information and media through the wireless local area network, realize the port machine operates and transmits of the control information, can rewrite the individual parameter at the same time, such as locking machine and starting up of the machinery of control port;
the remote equipment remote monitoring subsystem is used for checking the real-time state information and audio and video information of the port machine equipment, and packaging and storing the information, so that a user can conveniently retrieve the historical condition of the equipment at any time;
the remote equipment maintenance subsystem is used for remotely accessing a PLC system of the port machine and remotely diagnosing faults of large equipment, fault removal and emergency treatment can be carried out on field equipment without regional limitation based on the technology of the Internet of things, and the remote equipment maintenance subsystem is used for shortening the fault time of production equipment and improving the production efficiency of key equipment of the port machine;
the harbor machine early warning subsystem is used for monitoring and controlling the operation safety of the harbor machine in use and comprises an equipment work early warning module and a harbor district microclimate early warning module, wherein the equipment work early warning module is used for acquiring PLC data of the harbor machine, and the harbor district microclimate early warning module is used for providing weather early warning such as wind, rain and the like;
the equipment electronic standing book management subsystem is used for establishing a unified informationized electronic archive management system for large-scale mechanical equipment in a harbor area, and intelligently managing the large-scale harbor mechanical equipment by acquiring PLC system information and combining a thing networking technology.
2. The intelligent automatic control system for port machinery according to claim 1, wherein a device work early warning module in the port machinery early warning subsystem counts the running time of a device mechanism through collected PLC data, and provides an effective basis for maintenance and maintenance cycles of each mechanism; through the operation record and the equipment load condition of gathering port machine driver, report to the police and the early warning is made to the dangerous operation that probably takes place in advance, reminds driver safety operation equipment, and the safety in production of guarantee production facility avoids taking place the incident.
3. The intelligent automatic control system for port machines according to claim 1, characterized in that a port microclimate early warning module in the port machine early warning subsystem provides weather early warning such as wind and rain for production management personnel in a port area in advance by collecting sensor signals such as anemometers and rain gauges of a plurality of information collection points erected at the front end of the port area, so as to ensure the safety of port area production operation.
4. The port machine intelligent automatic control system of claim 1, wherein the port machine intelligent automatic control system is further configured with a port machine training subsystem, and a simulation operation platform combining software and hardware is used to enable a driver/maintainer to quickly master a driving/maintenance work flow of a port machine device, improve the training efficiency of the driver/maintainer, and reduce the risk of equipment failure and even safety accidents caused by the fact that a novice directly operates a field port machine device.
5. The port machine intelligent automatic control system of claim 1, wherein the remote equipment remote monitoring subsystem reconstructs the historical operating conditions of the equipment in an intuitive animation manner, facilitates on-site maintenance and management of the equipment, or provides real and effective data for remote maintenance personnel to diagnose equipment faults; by collecting the operation records of the port machine driver and the equipment load condition, the system gives an alarm and pre-warns for dangerous operation which may happen in advance, reminds the driver of safe operation, records all operation behaviors and makes evidence for illegal operation.
6. The port machine intelligent automatic control system of claim 1, wherein the remote equipment maintenance subsystem constructs an intelligent early warning and early warning maintenance system by collecting information databases and information analysis knowledge bases of various port facilities and by deep machine learning and training early warning models, and is used for eliminating faults in advance and effectively avoiding accidents.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113620170A (en) * | 2021-08-10 | 2021-11-09 | 华能国际电力股份有限公司上海石洞口第二电厂 | Automatic anchoring system of port machine |
CN115145334A (en) * | 2021-03-28 | 2022-10-04 | 上海梅山钢铁股份有限公司 | Port machine electric room humiture centralized control device |
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Application publication date: 20210105 |