CN110703679A - Industrial controller of wind generating set - Google Patents
Industrial controller of wind generating set Download PDFInfo
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- CN110703679A CN110703679A CN201910971511.0A CN201910971511A CN110703679A CN 110703679 A CN110703679 A CN 110703679A CN 201910971511 A CN201910971511 A CN 201910971511A CN 110703679 A CN110703679 A CN 110703679A
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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 industrial controller of a wind generating set, which is integrated with an edge computing system and a soft PLC system, is configured with a virtual machine manager and an edge server, is managed by the virtual machine manager, and has interface development capability as well as data communication between the two systems through an industrial communication network; the edge computing system mainly runs edge computing application, performs complex edge computing analysis, interacts with an edge server in a network communication mode, and is responsible for the functions of man-machine interaction and external system communication, and the soft PLC system is responsible for industrial monitoring and has a PLC programming development function and a distributed control system development capability; the soft PLC system communicates with the real-time system substation through the PLC bus, distributed measurement and control capability is achieved, meanwhile, the soft PLC system has a communication function, communication can be established with related systems, and data sharing is achieved. The invention can solve the problems of limited function of control equipment of the wind generating set, capability loss of an auxiliary control system, inconvenience in system management and the like.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to an industrial controller of a wind generating set.
Background
With the long-term development of offshore wind power, the requirement on intelligent control of the fan is increasingly improved, more and more sensors are added to the fan and used for controlling different control strategies, and the safety and reliability of the fan are improved. Meanwhile, for monitoring the operation of the wind farm units for a long time, analyzing the characteristics of the units and guiding operation and maintenance, an auxiliary control system and field level control are developed rapidly in recent years due to the rise of offshore wind power. But the method is limited by the capabilities of a fan master control PLC and an auxiliary control monitoring device, the master control ensures the real-time control stability, the storage in the device is limited, a large amount of data storage operation cannot be realized, and the application of a complex analysis and diagnosis algorithm is limited; the existing market application of the auxiliary control system is limited to monitoring and simple data analysis and diagnosis, and the complex analysis algorithm still needs to manually analyze and diagnose the real-time data in a follow-up manner. In addition, all equipment software cannot be managed in a unified mode, when the software system is updated in function, personnel are required to go to the site to change each wind field, time and labor are consumed, system management is inconvenient, and future offshore wind power development is greatly hindered in the follow-up process.
Disclosure of Invention
The invention provides an industrial controller of a wind generating set based on an edge calculation and management concept aiming at the problems of limited functions of control equipment of the wind generating set, capacity loss of an auxiliary control system, inconvenience of system management and the like, wherein the edge calculation system and a soft PLC system are integrated into a set of industrial controller, the problem of comprehensive complex algorithm calculation which cannot be realized by a fan control and monitoring system can be solved by using the edge calculation capability through the industrial controller, the integration of safe real-time PLC control and a high-speed complex comprehensive analysis algorithm is realized, the maintenance complexity is reduced through an edge calculation management framework, the system upgrading rate is improved, the unified management and data depth mining of the system are realized, the high-speed diagnosis and analysis and the low-speed large data comprehensive analysis are decoupled, the advantages of various systems are exerted, and the intelligent development of the wind generating set is further promoted.
In order to achieve the purpose, the technical scheme provided by the invention is as follows: an industrial controller of a wind generating set is integrated with an edge computing system and a soft PLC system, and is configured with a virtual machine manager and an edge server, wherein the edge computing system and the soft PLC system are managed by the virtual machine manager, the two systems carry out data communication through an industrial communication network to realize communication interaction, and meanwhile, the two systems have interface development capacity to realize a file interaction function; wherein:
the edge computing system mainly runs edge computing application, performs complex edge computing analysis, and interacts with an edge server in a network communication mode, so that on one hand, the operation state of the industrial controller is uploaded, data after the edge computing analysis is uploaded, and on the other hand, instructions and data of the edge server are received, and application functions are updated; the edge computing system is simultaneously responsible for the functions of man-machine interaction and external system communication, is provided with a network interface and an industrial common serial port communication interface, supports software development and is responsible for data interaction with a remote monitoring system and the edge computing systems of other surrounding wind generating sets;
the soft PLC system belongs to a real-time control system, is responsible for industrial monitoring, and has a PLC programming development function and a distributed control system development capability; the soft PLC system communicates with a real-time system substation through a PLC bus to realize distributed measurement and control capability, the real-time system substation acquires a test signal of a monitored object through an input and output signal module, and outputs a control signal to control the monitored object after operation is performed through a program developed by the soft PLC system; the soft PLC system can establish a master-slave system with a monitored object in a bus mode, realize synchronous communication of two real-time systems and ensure a real-time control function; the soft PLC system has a communication function, can establish communication with related systems, and achieves data sharing.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the invention organically integrates the edge computing idea and the control diagnosis capability, has high system integration level, integrates the capabilities of high-speed analysis diagnosis, real-time control interaction, system comprehensive management and the like, can more conveniently and uniformly manage and control various local systems, can effectively apply artificial intelligence algorithms such as vision, voice and the like to the system, and provides a hardware environment foundation for the deep learning intelligent development of future wind power machines.
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FIG. 1 is an architecture diagram of an industrial controller of a wind generating set in an embodiment.
Detailed Description
The present invention will be further described with reference to the following specific examples.
As shown in fig. 1, the industrial controller for a wind turbine generator system provided in this embodiment integrates an edge computing system 2 and a soft PLC system 3, and is configured with a virtual machine manager 4 and an edge server 6, where the edge computing system 2 and the soft PLC system 3 are managed by the virtual machine manager 4, and the two systems perform data communication through industrial communication networks such as OPC and TCP, so as to implement communication and interaction of the two systems, and meanwhile, the two systems have an interface development capability, so as to implement a file interaction function of the two systems.
The edge computing system 2 mainly runs edge computing application, performs complex edge computing analysis, and interacts with the edge server 6 in a network communication manner, so that on one hand, the operation state of the industrial controller is uploaded, data after the edge computing analysis is uploaded, and on the other hand, instructions and data of the edge server 6 are received, and application functions are updated.
The edge computing system 2 is simultaneously responsible for the functions of man-machine interaction and external system communication, is provided with a network interface and an industrial common serial port communication interface 5, supports software development and is responsible for data interaction with a remote monitoring system and the edge computing systems of other surrounding wind generating sets.
The soft PLC system 3 belongs to a real-time control system, is responsible for industrial monitoring, and has a PLC programming development function and a distributed control system development capability.
The soft PLC system 3 communicates with the real-time system substation through a PLC bus to realize distributed measurement and control capability, the real-time system substation collects test signals of the monitored object 7 through an input and output signal module, and outputs control signals to control the monitored object 1 after calculation is carried out through a program developed by the soft PLC system 3.
The soft PLC system 3 can also establish a master-slave system with a monitored object in a bus mode, realize synchronous communication of two real-time systems and ensure a real-time control function.
The soft PLC system 3 has a communication function at the same time, and can establish communication with related systems to realize data sharing.
The wind generating set industrial controller can realize wind field level and fan single machine system types, and can be developed according to the following steps according to the general project implementation scheme:
1) and selecting proper configuration according to the project, ensuring storage, calculation capacity, real-time PLC capacity, test requirement, installation space and the like, manufacturing edge system equipment meeting the requirement, and installing the edge system equipment on the site.
2) And (3) building an auxiliary control monitoring system, integrating signals such as load, vibration, noise, video and the like which need to be monitored into the system of the industrial controller, and collecting and analyzing.
3) And the master control system of the fan is connected with a master control system of the fan through a system communication protocol, such as ProfiNet and the like, so that the real-time control capability is ensured.
4) And remote monitoring data interaction is established through industrial communication protocols such as OPC UA or Modbus TCP.
5) The interaction of the edge computing system and the edge server is realized through a wireless or wired network.
6) And after the system is debugged, the system tests, analyzes and interacts real-time data, and carries out intelligent control.
7) The edge server monitors the running state of the edge computing system in real time and can control the running state.
8) When new analysis algorithms are updated in an increasing and decreasing mode, the edge server controls the appointed updating edge computing system to achieve function issuing.
9) The edge computing system can upload the processed data to the server, and the server analysis system performs data mining and provides analysis results to the designated edge system equipment to perform system function optimization.
10) The edge computing system can rapidly act on a control system of the fan according to the computing result of the edge application, such as control strategies of shutdown and the like, so that the fan can rapidly respond.
The above-mentioned embodiments are merely preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, so that the changes in the shape and principle of the present invention should be covered within the protection scope of the present invention.
Claims (1)
1. An industrial controller of a wind generating set is characterized in that: the industrial controller is integrated with an edge computing system and a soft PLC system, and is configured with a virtual machine manager and an edge server, the edge computing system and the soft PLC system are managed by the virtual machine manager, the two systems carry out data communication through an industrial communication network to realize communication interaction, and meanwhile, the two systems have interface development capacity to realize a file interaction function; wherein:
the edge computing system mainly runs edge computing application, performs complex edge computing analysis, and interacts with an edge server in a network communication mode, so that on one hand, the operation state of the industrial controller is uploaded, data after the edge computing analysis is uploaded, and on the other hand, instructions and data of the edge server are received, and application functions are updated; the edge computing system is simultaneously responsible for the functions of man-machine interaction and external system communication, is provided with a network interface and an industrial common serial port communication interface, supports software development and is responsible for data interaction with a remote monitoring system and the edge computing systems of other surrounding wind generating sets;
the soft PLC system belongs to a real-time control system, is responsible for industrial monitoring, and has a PLC programming development function and a distributed control system development capability; the soft PLC system communicates with a real-time system substation through a PLC bus to realize distributed measurement and control capability, the real-time system substation acquires a test signal of a monitored object through an input and output signal module, and outputs a control signal to control the monitored object after operation is performed through a program developed by the soft PLC system; the soft PLC system can establish a master-slave system with a monitored object in a bus mode, realize synchronous communication of two real-time systems and ensure a real-time control function; the soft PLC system has a communication function, can establish communication with related systems, and achieves data sharing.
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CN111478979A (en) * | 2020-05-26 | 2020-07-31 | 国电联合动力技术有限公司 | Reliable wind power data acquisition method and system |
CN114879593A (en) * | 2022-05-07 | 2022-08-09 | 科东(广州)软件科技有限公司 | Method, device and equipment for real-time system to operate PLC (programmable logic controller) and storage medium |
CN115278571A (en) * | 2022-07-06 | 2022-11-01 | 明阳智慧能源集团股份公司 | Data wireless communication method between wind generating set and remote equipment |
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CN115278571A (en) * | 2022-07-06 | 2022-11-01 | 明阳智慧能源集团股份公司 | Data wireless communication method between wind generating set and remote equipment |
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