CN212411068U - Integrated intelligent optimization control system for thermal power generating unit - Google Patents
Integrated intelligent optimization control system for thermal power generating unit Download PDFInfo
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- CN212411068U CN212411068U CN202021948945.3U CN202021948945U CN212411068U CN 212411068 U CN212411068 U CN 212411068U CN 202021948945 U CN202021948945 U CN 202021948945U CN 212411068 U CN212411068 U CN 212411068U
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Abstract
The utility model provides a thermal power generating unit integration intelligence optimal control system, this system adopt bus type topological structure, and the system bus adopts the CAN bus, including engineer station, ethernet switch, bridge, core controller and communication fastener, wherein, engineer station is connected with the core controller through the bridge, is connected through the ethernet switch between core controller and the communication fastener, and the third party communication fastener of DCS system is connected to the communication fastener; the system has strong expansion capability and supports the flexible configuration of the number of the core controllers and the number of the communication cards according to engineering requirements.
Description
Technical Field
The utility model relates to a control technology field of power plant, concretely relates to thermal power generating unit integration intelligence optimal control system.
Background
Various optimization control items of the thermal power generating unit, including intelligent coordination optimization control, intelligent combustion optimization control, intelligent soot blowing optimization control, wall temperature overtemperature early warning and active control, cold end frequency conversion intelligent optimization control, condensed water variable load deep sliding pressure optimization control, denitration intelligent optimization control and the like, all need to realize the optimization of the performance of the thermal power generating unit through a control algorithm. Related items of the intelligent control system which is implemented at present are all realized by a plug-in PLC. The technical scheme of adopting PLC encounters various difficulties in the engineering implementation process, such as: the PLC has weak support capability to the advanced intelligent algorithm, the installation and communication debugging period of the PLC plug-in device is long, the development and debugging period of the control strategy is long, the upgrading and maintenance of the control strategy are complex and the like. The prior art scheme also makes the productization of the intelligent control project face serious difficulty and causes various uncertainties to the popularization of products in the later period.
Firstly, the development and engineering implementation of an intelligent control project of the PLC are difficult due to the self-sealing property, the interface form and the inherent characteristics of the PLC, the control precision and the control capability are difficult to further improve, and the development requirement of a high-level control algorithm cannot be met.
Second, the PLC provides a structured text programming language which is simplified in terms of expression form, kind, and function of the language, and does not support high level programming language features such as pointers, compared to high level languages. Only simple program writing can be realized, and high-level control algorithms (an artificial neural network algorithm, a steam-water physical property calculation algorithm, a particle swarm optimization algorithm, a nonlinear prediction control algorithm, an online model identification algorithm and the like) are difficult to realize.
Thirdly, in engineering implementation, the PLC needs to exchange data with different DCS systems and perform configuration debugging. The PLC communication card only provides simple use instructions and guidance, and due to the difference of DCS systems, the difference of interface forms and configuration modes is very large, communication problems, data format errors and other problems in the engineering implementation process do not support debugging, and the construction progress is not controllable. One project requires a very large amount of time in wiring, configuration and engineering implementation, and is complicated in wiring and difficult to maintain.
Fourthly, each PLC manufacturer does not provide an operation interface, an online instruction and a debugging channel of the third-party application program. For a high-level intelligent optimization algorithm which needs to perform large-scale off-line operation on a server, a scheme based on PLC is difficult to develop and implement.
And fifthly, the running period of the program is not controllable, and a high-precision control algorithm with high requirement on the period is not supported. The method does not support the setting of multiple operation periods, and cannot meet the requirement of an algorithm requiring multiple operation periods. And the human-machine interface and the programming interface provided by the PLC have low expression form and efficiency and poor readability.
And sixthly, the PLC can not realize flexible expansion, and when the single PLC operation capability can not meet the engineering requirement, the operation module can not be expanded.
Disclosure of Invention
An object of the utility model is to provide a thermal power generating unit integration intelligent optimization control system has solved current intelligent control system and has adopted external PLC to realize, leads to the unstable defect of later stage product.
In order to achieve the above purpose, the utility model discloses a technical scheme is:
the utility model provides a pair of thermal power generating unit integration intelligence optimal control system, this system adopt bus type topological structure, and the system bus adopts the CAN bus, including engineer station, ethernet switch, bridge, core controller and communication fastener, wherein, the engineer station is connected with the core controller through the bridge, is connected through the ethernet switch between core controller and the communication fastener, and the third party communication fastener of DCS system is connected to the communication fastener.
Preferably, a CAN bus controller is arranged in each of the bridge, the core controller and the communication card, and is accessed to the system bus through the respective CAN bus controllers.
Preferably, an ethernet controller is provided in each of the bridge and the engineer station, and the bridge and the engineer station are connected to the ethernet switch through the respective ethernet controllers.
Preferably, a 485 communication module is further arranged in the communication card, the 485 communication module provides a 485 communication interface, and the 485 communication interface is connected with a third-party communication card of the DCS system.
Preferably, the engineer station, the core controller and the communication card are respectively provided with at least one.
Preferably, the core controller and the communication card are connected in a bidirectional data exchange mode.
Preferably, one is provided for each of the bridge and the ethernet switch.
Compared with the prior art, the beneficial effects of the utility model are as follows:
the utility model provides a thermal power generating unit integrated intelligent optimization control system, which has strong expansion capability, and supports the flexible configuration of the number of core controllers and communication clamping pieces according to the engineering requirements; a bus type topological structure is adopted, a CAN bus is adopted as a system bus, data receiving and transmitting are simple, and efficiency is high; the system has simple structure; the system can be configured, the algorithm can be controlled to be written, downloaded, debugged and monitored through the engineer station, and the high-level algorithm can be flexibly developed through the engineer station.
Drawings
Fig. 1 is a schematic diagram of a system structure related to the present invention;
FIG. 2 is a schematic structural diagram of an integrated intelligent optimization control system of a single-core controller and a single-communication card;
FIG. 3 is an integrated control system for a single core controller multiple communication cards;
FIG. 4 is an integrated control system of a multi-core controller multi-communication card.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the utility model provides a pair of thermal power generating unit integration intelligence optimal control system, this system adopt total line type topological structure, and the system bus adopts the CAN bus, and it includes engineer station E, ethernet switch S, bridge T, core controller C and communication fastener M, and wherein, engineer station E is connected with core controller C through bridge T, and core controller C is connected with communication fastener M, and communication fastener M connects the third party communication fastener of DCS system.
Specifically, a CAN bus controller is arranged in each of the bridge T, the core controller C and the communication card M; an Ethernet controller is arranged in each of the bridge T and the engineer station E; still be provided with a 485 communication module in the communication fastener M, this module provides 485 communication interface, can connect the third party communication fastener of DCS system through this module.
An Ethernet switch S is arranged between the bridge T and the engineer station E, and the bridge T and the engineer station E are respectively connected to the Ethernet switch S through respective Ethernet controllers.
The network bridge T, the core controller C and the communication card M are accessed to a system bus through respective internal CAN bus controllers.
The core controller C and the communication card M can perform bidirectional data exchange.
The number of the core controllers C and the communication cards M configured in the integrated intelligent optimization control system can be configured with different numbers according to engineering requirements, only one bridge T can be configured, 1 Ethernet switch S can be configured, and one or more engineer stations E can be configured according to engineering requirements.
For example, as shown in fig. 3, a minimum integrated intelligent optimization control system is configured with a core controller C, a communication card M, a bridge T, an ethernet switch and an engineer station.
Another configuration scheme of the integrated intelligent optimization control system is to configure two core controllers C1 and C2, two communication cards M1 and M2, a bridge T, an ethernet switch and an engineer station, as shown in fig. 4.
The integrated intelligent optimization control method of the thermal power generating unit comprises the following steps:
when the integrated intelligent optimization control system runs, firstly, configuring the address and the operation cycle of each hardware of the system at an engineer station according to an engineering specification to generate a configuration file; then designing and compiling a control algorithm to generate an algorithm file; the configuration file and algorithm file are then sent to the core controller via the ethernet switch S and the bridge T.
The control algorithm executes operation according to an operation period set in the core controller, when the operation is executed, firstly, the unit operation parameters (including main steam pressure, main steam temperature and load data) are read from the DCS through the communication card M, the unit operation parameters are sent to the core controller through a system bus in a set broadcast period, then the operation is carried out in the core controller, and after the operation is finished, an operation result is sent to the DCS through the communication card M in an instruction mode, so that the purpose of controlling the unit operation state is achieved.
Specifically, the method comprises the following steps:
the core controller is an operation module of the integrated intelligent optimization control system, and various high-level intelligent algorithms operate in the core controller; the communication card is an input/output interface module of the integrated intelligent optimization control system, input data points are read into the core controller through the communication card, and result data calculated by the core controller are written into the unit DCS through the communication card.
The engineer station is a user interface of the integrated intelligent optimization control system, and a user designs, writes, downloads, debugs and monitors a control algorithm in the engineer station.
The bridge T completes the interconversion between the ethernet packet and the data frame of the system bus (the system bus adopts the CAN bus).
The specific operations for configuring the system are:
the network bridge, the core controller and the communication card are particularly required to be configured, and after the configuration is completed, the integrated intelligent optimization control system can work according to the configuration, wherein the configuration comprises the following parts: address configuration, I/O point configuration, and control algorithm configuration.
The specific method of address configuration is as follows:
the address is a representation of communication among all modules of the integrated intelligent optimization control system and comprises an Ethernet address and a CAN bus address. The engineer station and the network bridge communicate through respective Ethernet addresses; the network bridge, the core controller and the communication card piece are communicated through a CAN bus address.
Setting the allowable range of the CAN bus address of the system to be 1 to 50; the CAN address requirement of the core controller is smaller than that of the communication card, the CAN address 1 is allocated to the network bridge for use, and the core controller and the communication card cannot use the address.
The address allocation is completed in an engineer station, and the address allocation scheme specifically comprises the following steps:
the address of the bridge is 1;
the core controller and the communication card are sequentially assigned with addresses according to the sequence of the core controller and the communication card, the addresses are sequentially accumulated from 2 according to the quantity of engineering configuration, each core controller is assigned with one address, each communication card is assigned with one address, a certain standby address can be reserved between the core controller and the communication card, the system is used when the core controller is expanded, and the addresses of all the communication cards are ensured to be higher than the addresses of the core controller. For example, two core controllers and two communication cards are configured, the address of the first core controller is 2, the address of the second core controller is 3, the address of the first communication card is 4, the address of the second communication card is 5 or the address from 4 to 10 is reserved, the address of the first communication card is 14, and the address of the second communication card is 15.
After the address allocation is completed, the engineer station compiles the address configuration information to generate an address file after the compilation is completed, the address file is a binary byte stream file, every two bytes form a field, the field represents the type and the address of a module, the first byte of the field represents the type of the module, wherein 1 represents a bridge, 2 represents a core controller, 3 represents a communication card, and the second byte of the field represents the address of the module.
The field sequence of the address file is written into the address file according to the sequence of the network bridge, the core controller and the communication card. For example, the address files configured by the dual-core controller and the single communication card are as follows: 0x0101,0x0202,0x0203,0x 0304; wherein, the field 0x0101 indicates that the address of the bridge is 01,0x0202 indicates that the module is a core controller and the address of the core controller is 02,0x0203 indicates that the module is a core controller and the address of the core controller is 03, and 0x0304 indicates that the module is a communication card and the address is 04.
After an engineer station compiles and generates an address file, the address file is sent to a network bridge, the network bridge analyzes a first field of the address file, whether the type is 01 or not is judged, if the type is 01, a second byte is read, the value of the byte is the address of the network bridge, after the address setting of the network bridge is finished, the subsequent field of the address file is sent to a subsequent core controller, the received address file is analyzed by the core controller, the first field is read, whether the first byte of the field is 0x02 or not is judged, if the first byte of the field is the core controller, the address of the core controller is set as the value of the second byte; and after the setting is finished, the core controller sends the content of the subsequent address file to the subsequent module. After each module receives the address file, a first field of the address file is analyzed, a first byte of the field is a module type, a second byte of the field is an address of the module, address setting firstly judges whether the module type is consistent, if the module type is consistent, an address value is set to be a value of the second byte, if the module type is not consistent, the address setting fails, after the address setting is successful, whether the field of the address file is not analyzed, and if a subsequent field exists, the subsequent field is sent to the subsequent module.
The specific method for configuring the I/O point comprises the following steps:
the I/O points are also called input and output data points and are basic data for operation of the integrated intelligent optimization control system, and can be divided into analog quantity data points and digital quantity data points according to the data types and input data points and output data points according to the input and output directions.
The input data points are data introduced into the integrated intelligent optimization control system from the DCS by the communication card and can be divided into analog quantity input points and digital quantity input points according to the data types;
the output data points refer to data points which are written into the unit DCS by the integrated intelligent optimization control system through the communication card, and are also divided into analog quantity output points and digital quantity output points according to data types.
The analog quantity data points are represented by floating point numbers with the data length of 4 bytes; the data length of the digital quantity data point is 1 byte, and the value of the digital quantity data point can only be 0 or 1.
The specific method for controlling algorithm configuration comprises the following steps:
the control algorithm is also called as a control strategy, the optimization control function of the integrated intelligent optimization control system is realized, various control algorithms designed by users run in a core controller, optimization operation is executed according to input data points of the unit DCS system, operation result data is generated, then the operation result data is written into the unit DCS system, and the unit DCS system determines executed operation according to the data.
A static algorithm library is predefined and implemented in a core controller, and comprises common basic algorithm blocks which are divided into four groups of mathematics, logic, control and input and output according to functions, and different control strategies can be implemented through free combination among the algorithm blocks.
The data exchange process of the integrated intelligent optimization control system can be divided into an uplink process and a downlink process according to the flow direction of data, wherein the process of downlink data flow comprises the following steps:
the engineer station compiles to generate data, the data are sent to the network bridge through the Ethernet, the network bridge carries out format conversion on the data after receiving the data, the converted data are sent to the core controller, the core controller analyzes the data content and the destination address after receiving the data sent by the network bridge and determines whether the data need to be sent to the communication card, if the data are sent to the core controller for use, the data are not forwarded, and if the data are sent to the communication card, the core controller forwards the data to the communication card.
And (3) upstream data flow process:
the core controller generates state data according to a period, the state data is firstly sent to the network bridge, after the network bridge receives the data, the network bridge adds a header and a trailer to the data, and then the data is sent to an engineer station through the Ethernet.
Data exchange between the core controller and the communication card piece:
the core controller and the communication card piece are used for periodically exchanging data, the data exchange period can be configured in an engineer station (for example, 100 milliseconds is the period), every 100 milliseconds, the communication card piece sends the read data points of the unit DCS system to the core controller, and every 100 milliseconds, the core controller sends the data points which need to be written into the unit DCS system to the communication card piece.
And the name and the data type of the data point are configured through an engineer station, and then the configuration information is sent to the core controller and the communication card piece.
The working mode of the integrated intelligent optimization control system can be divided into the following steps according to the number of the core controllers: single core controller mode and multi-core controller mode.
In the mode of a single core controller, various optimization control algorithms operate in one core controller, the core controller executes the control algorithms designed by a user according to a set period, and the optimization results are written into the DCS through the communication card after the execution of the period is completed.
In the multi-core controller mode, the optimization control algorithm is distributed under different core controllers according to the functions of the optimization control algorithm, such as a core controller for operating denitration optimization control, a core controller for operating combustion optimization control and a core controller for operating coordination optimization control; and each core controller independently operates, executes respective optimization control algorithm, and writes the optimization result into the DCS through the communication card after the execution is finished.
The communication card supports two access modes, namely shared access and exclusive access. Under the sharing mode, each core controller can access data points of the communication card through a system bus; in the exclusive mode, only the designated core controller can access the data points of the communication card through the system bus.
The access mode between the core controller and the communication card is configured through an engineer station, the length of the access mode data is four bytes, and the access mode data is described as follows:
the first field is the destination address, 1 byte in length, indicating the destination address of the data.
The second field is the access mode of the communication card, and the length is 1 byte, wherein 0x00 represents shared access, and 0x01 represents exclusive mode (0x represents 16 system).
The third field is the address of the communication card, and the length is 1 byte.
The fourth field is the address of the core controller to which the communication card belongs, and is 1 byte in length, and when shared access is adopted, the field is 0x 00.
The engineer station sends the four-byte access mode data to the bridge T through the Ethernet switch S, the bridge T receives the access mode data, analyzes the destination address of the first byte, converts the access mode data into a CAN bus data frame and sends the CAN bus data frame to the designated destination address.
Compared with the prior art, the utility model, have following advantage:
1. the integrated intelligent optimization control system for the thermal power generating unit has strong expansion capability, and the number of core controllers and communication cards is flexibly configured according to engineering requirements.
2. The integrated intelligent optimization control system for the thermal power generating unit is simple in structure, configuration of the system and compiling, downloading, debugging and monitoring of control algorithms can be achieved through an engineer station, and development of high-level algorithms can be flexibly performed through the engineer station.
3. The integrated intelligent optimization control system of the thermal power generating unit provides a graphical configuration interface, rich online debugging interfaces and reusable engineering configuration through an engineer station. The engineering implementation system is simple to debug, is friendly to a human-computer interface, and can provide a unified platform for productization of various intelligent projects.
4. The integrated intelligent optimization control system of the thermal power generating unit adopts a bus type topological structure, and the system bus adopts a CAN bus, so that the data receiving and transmitting are simple, and the efficiency is high.
5. The integrated intelligent optimization control system of the thermal power generating unit supports independent operation of various advanced intelligent optimization algorithms. The same core controllers may be configured at the engineer station according to the number of intelligent algorithms, each core controller running an intelligent optimization algorithm.
The invention will be described in further detail with reference to the drawings and examples of application in engineering.
Fig. 2 shows an engineering deployment diagram of an integrated intelligent optimization control system of a thermal power generating unit, the scheme adopts a mode of a single-core controller and a single-communication card, a communication card A is connected with a third-party communication card of a DCS system through an A-channel 485 bus, and the communication card A is a medium for data exchange between the core controller A and the DCS system. In the engineering implementation scheme, the intelligent optimization control system finishes intelligent control on the wall temperature of the unit, the communication card A introduces a boiler wall temperature point from the unit DCS system, then the wall temperature point is calculated according to the calculation scheme of the control algorithm, and the calculation result is written into a third-party communication card of the unit DCS system through the communication card A to guide the optimized operation of the unit. As shown in fig. 3, the real-time scheme of the integrated intelligent optimization control system of the thermal power generating unit adopts a configuration mode of multiple communication cards of a single-core controller, a core controller a and two communication cards (a communication card a and a communication card B) are configured, and the communication card a and the communication card B are respectively connected to two third-party communication cards of the DCS system through an a-way 485 bus and a B-way 485 bus. The scheme is suitable for the situation that a large amount of data exchange needs to be carried out between an integrated intelligent optimization control system and a unit DCS control system, and a large number of data points can be evenly configured into two blocks by configuring a communication block A and a communication block B; the other application of the scheme is that under the condition that the application environment of the integrated intelligent optimization control system has high requirements on safety, redundancy of data communication is achieved by configuring the communication card A and the communication card B, the same points are independently transmitted in the communication card A and the communication card B respectively, and the core controller A selects the same data points from the communication card A and the communication card B.
The core controller and the communication cards of the application example in fig. 4 realize dynamic configuration, different numbers of core controllers or communication cards can be configured according to project requirements during engineering implementation, and multiple communication cards can realize redundant configuration of data points or balanced distribution of a large number of data points. The plurality of core controllers can realize independent operation of control algorithms, so that different core controllers operate different control algorithms, such as a core controller with an operation denitration optimization function, a core controller with an operation combustion optimization function and a core controller with an operation intelligent coordination optimization function.
Free data interaction can be performed between the core controllers mounted on the system bus and between the core controllers and the communication cards unless a certain communication card is specified to be specific to a certain core controller in the configuration data, for example, the communication card a in fig. 4 is a specific communication card configured as a core controller B. In this application, the other core controller will not access the data of the communication card a, and the core controller B can still access the data of the other communication card except the communication card a.
Claims (7)
1. The utility model provides a thermal power generating unit integration intelligence optimal control system, its characterized in that, this system adopts bus type topological structure, and the system bus adopts the CAN bus, including engineer station (E), ethernet switch (S), bridge (T), core controller (C) and communication fastener (M), and wherein, engineer station (E) is connected with core controller (C) through bridge (T), is connected through ethernet switch (S) between core controller (C) and communication fastener (M), and the third party communication fastener of DCS system is connected to communication fastener (M).
2. The integrated intelligent optimization control system of the thermal power generating unit according to claim 1, wherein the network bridge (T), the core controller (C) and the communication card (M) are respectively provided with a CAN bus controller and are connected to a system bus through the respective CAN bus controllers.
3. The thermal power generating unit integrated intelligent optimization control system according to claim 1, wherein an ethernet controller is provided in each of the network bridge (T) and the engineer station (E), and the network bridge (T) and the engineer station (E) are respectively connected to the ethernet switch (S) through the respective ethernet controllers.
4. The integrated intelligent optimization control system of the thermal power generating unit according to claim 1, wherein a 485 communication module is further arranged in the communication card (M), the 485 communication module provides a 485 communication interface, and the 485 communication module is connected with a third party communication card of the DCS system through the 485 communication interface.
5. The thermal power generating unit integrated intelligent optimization control system according to any one of claims 1 to 4, wherein at least one engineer station (E), at least one core controller (C) and at least one communication card member (M) are respectively arranged.
6. The integrated intelligent optimization control system of the thermal power generating unit according to claim 1, wherein the core controller (C) and the communication card (M) are connected in a bidirectional data exchange manner.
7. The thermal power generating unit integrated intelligent optimization control system according to claim 1, wherein one network bridge (T) and one Ethernet switch (S) are provided.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112965402A (en) * | 2021-02-19 | 2021-06-15 | 大唐东北电力试验研究院有限公司 | Independent control device and method for load of thermal power plant |
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| CN112965402A (en) * | 2021-02-19 | 2021-06-15 | 大唐东北电力试验研究院有限公司 | Independent control device and method for load of thermal power plant |
| CN112965402B (en) * | 2021-02-19 | 2022-11-15 | 大唐东北电力试验研究院有限公司 | Independent control device and method for load of thermal power plant |
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