CN114167828A - External hanging control method of DCS controller and related device - Google Patents
External hanging control method of DCS controller and related device Download PDFInfo
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- G05B19/00—Programme-control systems
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- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The application discloses a DCS controller plug-in control method, which comprises the following steps: receiving measuring point data from a DCS controller; controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results; selecting a plurality of control results based on a chip selection strategy to obtain a target control result; and sending the target control result to DCS control so that the DCS controller can carry out process control by adopting the target control result. The control algorithm is calculated on the measured point data by controlling the plurality of algorithm copies, a plurality of control results are obtained, and a target control result is selected instead of a single algorithm, so that the stability of algorithm execution is maintained, the optimal algorithm can be selected to execute process control, and the reliability and effectiveness of process control are improved. The application also discloses a plug-in control device of the DCS controller, a computing device and a computer readable storage medium, and the method has the beneficial effects.
Description
Technical Field
The application relates to the technical field of computers, in particular to a plug-in control method, a plug-in control device, a computing device and a computer readable storage medium of a DCS (distributed control system) controller.
Background
With the implementation of denitration ultra-low emission modification of a thermal power plant, the actual NOx control effect of a thermal power unit is not ideal, and even some thermal power units cannot be normally put into denitration ammonia injection automatic control, so that serious problems of large NOx fluctuation at an SCR outlet, excessive ammonia escape amount and the like are caused.
In the related art, a certain Control algorithm is implemented in a DCS (Distributed Control System) controller to Control the process of the thermal power generating unit, so as to improve the environmental Control effect. However, by adopting the conventional control algorithm of the DCS, the optimal control of the denitration system with the characteristics of nonlinearity, time-varying property and large disturbance cannot be realized. In addition, due to the defects of the design of the algorithm software, the DCS controller fails, or the software crashes after long-time operation and the like, the effect of process control of the DCS controller is reduced, and the environment control is poor.
Therefore, how to improve the stability of the process control performed by the DCS controller is a key issue to be focused on by those skilled in the art.
Disclosure of Invention
The application aims to provide a plug-in control method, a plug-in control device, a computing device and a computer readable storage medium of a DCS controller, so that the stability of DCS process control is improved, and the probability of collapse of a control process is reduced.
In order to solve the technical problem, the application provides a method for controlling plug-in of a DCS controller, including:
receiving measuring point data from a DCS controller;
controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results;
selecting the control results based on a chip selection strategy to obtain a target control result;
and sending the target control result to the DCS control so that the DCS controller can carry out process control by adopting the target control result.
Optionally, receiving the measurement point data from the DCS controller includes:
receiving the measuring point data from the DCS controller according to a preset period;
and storing the measuring point data into a source data pool.
Optionally, controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measurement point data to obtain a plurality of control results, including:
respectively sending the measurement point data to each algorithm copy container;
controlling each algorithm copy container to read key parameter values from a buffer database;
and controlling each algorithm copy container to calculate the measuring point data based on the key parameter values to obtain a corresponding control result.
Optionally, selecting the plurality of control results based on a chip selection policy to obtain a target control result, where the selecting includes:
performing effect prediction on the plurality of control results based on a chip selection strategy to obtain an effect value corresponding to each control result;
and selecting the control result with the maximum effect value as the target control result.
Optionally, the method further includes:
counting the selection results of the target control results to obtain the selection frequency corresponding to each algorithm copy container;
taking the algorithm copy container with the maximum selection frequency as a reference copy;
and when a synchronization condition is triggered, synchronizing the key parameter values of the basic copy to other algorithm copy containers.
The application also provides an externally-hung control device of DCS, includes:
the data receiving module is used for receiving the measuring point data from the DCS controller;
the multi-algorithm copy calculation module is used for controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results;
the result selection module is used for selecting the control results based on the chip selection strategy to obtain a target control result;
and the result sending module is used for sending the target control result to the DCS control so that the DCS controller can carry out process control by adopting the target control result.
Optionally, the data receiving module is specifically configured to receive the measurement point data from the DCS controller according to a preset period; and storing the measuring point data into a source data pool.
Optionally, the multiple algorithm copy calculation module is specifically configured to send the measurement point data to each algorithm copy container respectively; controlling each algorithm copy container to read key parameter values from a buffer database; and controlling each algorithm copy container to calculate the measuring point data based on the key parameter values to obtain a corresponding control result.
The present application further provides a computing device comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the plug-in control method when the computer program is executed.
The present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the plug-in control method as described above.
The application provides a DCS controller plug-in control method, which comprises the following steps: receiving measuring point data from a DCS controller; controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results; selecting the control results based on a chip selection strategy to obtain a target control result; and sending the target control result to the DCS control so that the DCS controller can carry out process control by adopting the target control result.
The control algorithm is calculated on the measured point data by controlling the plurality of algorithm copies, a plurality of control results are obtained, and a target control result is selected instead of a single algorithm, so that the stability of algorithm execution is maintained, the optimal algorithm can be selected to execute process control, and the reliability and effectiveness of process control are improved.
The application also provides a plug-in control device of the DCS controller, a computing device and a computer readable storage medium, which have the beneficial effects, and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a plug-in control method of a DCS controller according to an embodiment of the present application;
fig. 2 is a schematic system structure diagram of a plug-in control method of a DCS controller according to an embodiment of the present application;
fig. 3 is a schematic diagram of a controller structure of a method for controlling a plug-in DCS controller according to an embodiment of the present application;
fig. 4 is a schematic diagram of a chip selection service flow of a plug-in control method of a DCS controller according to an embodiment of the present application;
fig. 5 is a schematic diagram of a synchronization service flow of a plug-in control method of a DCS controller according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an external hanging control device of a DCS according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a plug-in control method, a plug-in control device, a computing device and a computer readable storage medium of the DCS controller, so as to improve the stability of the DCS process control and reduce the probability of collapse of the control process.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
In the related art, a certain control algorithm is implemented in a DCS controller to control the process of a thermal power generating unit so as to improve the control effect of the environment. However, by adopting the conventional control algorithm of the DCS, the optimal control of the denitration system with the characteristics of nonlinearity, time-varying property and large disturbance cannot be realized. In addition, due to the defects of the design of the algorithm software, the DCS controller fails, or the software crashes after long-time operation and the like, the effect of process control of the DCS controller is reduced, and the environment control is poor.
Therefore, the application provides a plug-in control method of the DCS controller, a plurality of control results are obtained by controlling a plurality of algorithm copies and carrying out control algorithm calculation on the measured point data at the same time, and a target control result is selected instead of adopting a single algorithm for calculation, so that the stability of algorithm execution is maintained, the optimal algorithm execution process control can be selected, and the reliability and effectiveness of process control are improved.
The external hanging control method of the DCS controller provided by the present application is described below by an embodiment.
Referring to fig. 1, fig. 1 is a flowchart illustrating a plug-in control method of a DCS controller according to an embodiment of the present application.
In this embodiment, the method may include:
s101, receiving measuring point data from a DCS controller;
it can be seen that this step is intended to receive survey point data from the DCS controller.
The measuring point data is mainly data acquired by the DCA controller from an execution environment.
The channel for transmitting the measurement point data may adopt any transmission mode provided in the prior art, and is not specifically limited herein.
Further, the step may include:
step 1, receiving measuring point data from a DCS controller according to a preset period;
and 2, storing the measuring point data into a source data pool.
It can be seen that the alternative scheme mainly illustrates how the station data is received and stored. In the alternative, the measuring point data is received from the DCS controller according to a preset period, and the measuring point data is stored in a source data pool. The source data pool is mainly used for storing the received measuring point data, so that the efficiency and the performance of storing the measuring point data are improved, and the high-speed data reading performance is kept.
S102, controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results;
on the basis of S101, the step aims to control a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results.
It can be seen that in the alternative, a plurality of algorithm subcontainers are mainly adopted for control calculation. Wherein the algorithm between each algorithm copy container is the same so as to keep the stability of the output result. Meanwhile, when one algorithm copy has a problem, the control results of other algorithm copies can be adopted, so that the stability of process control is improved.
Further, the step may include:
step 1, respectively sending measurement point data to each algorithm copy container;
and 3, controlling each algorithm copy container to calculate the measurement point data based on the key parameter values to obtain a corresponding control result.
It can be seen that the present alternative scheme mainly explains how to obtain a plurality of control results. In this alternative, the description is mainly given of sending the measurement point data to each algorithm copy container, controlling each algorithm copy container to read key parameter values from the cache database, and controlling each algorithm copy container to calculate the measurement point data based on the key parameter values to obtain corresponding control results.
S103, selecting a plurality of control results based on a chip selection strategy to obtain a target control result;
on the basis of S102, this step aims to select a plurality of control results based on a chip selection policy, so as to obtain a target control result.
It can be seen that in the present alternative scheme, the best control result is selected from the plurality of control results and is used as the target control result.
Further, the step may include:
step 1, effect prediction is carried out on a plurality of control results based on a chip selection strategy, and an effect value corresponding to each control result is obtained;
and 2, selecting the control result with the maximum effect value as a target control result.
It can be seen that the present alternative scheme mainly illustrates how the target control result is selected. In the alternative scheme, effect prediction is performed on a plurality of control results based on a chip selection strategy to obtain an effect value corresponding to each control result, and the control result with the maximum effect value is selected as a target control result.
And S104, sending the target control result to DCS control so that the DCS controller can carry out process control by adopting the target control result.
On the basis of S103, this step is intended to send the target control result to the DCS control so that the DCS controller performs process control using the target control result.
In addition, the present embodiment may further include:
step 1, counting the selection results of the target control results to obtain the selection frequency corresponding to each algorithm replica container;
and 3, synchronizing the key parameter values of the basic copy to other algorithm copy containers when the synchronization condition is triggered.
It can be seen that the present alternative is primarily illustrative of how synchronization of algorithm copies can be performed. In the alternative scheme, the selection result of the target control result is counted to obtain the selection frequency corresponding to each algorithm replica container, the algorithm replica container with the maximum selection frequency is used as a reference replica, and when a synchronization condition is triggered, key parameter values of the basic replica are synchronized to other algorithm replica containers. That is, the consistency of the parameters between algorithm copies is maintained, and the stability of the output of the control result is maintained.
In summary, in the embodiment, the control algorithm is calculated on the measurement point data by controlling the multiple algorithm copies, so that multiple control results are obtained, and the target control result is selected instead of calculating by using a single algorithm, so that the stability of algorithm execution is maintained, the optimal algorithm can be selected to execute the process control, and the reliability and effectiveness of the process control are improved.
On the basis of the above embodiment, the following further describes an external hanging control method of the DCS controller provided by the present application by using another specific embodiment.
Referring to fig. 2, fig. 2 is a schematic system structure diagram of a plug-in control method of a DCS controller according to an embodiment of the present application.
In this embodiment, a system corresponding to the plug-in control method of the DCS controller is provided. The system comprises a DCS communication interface machine and an intelligent controller. The intelligent controller comprises a container operation scheduling environment, a source data pool, a cache database, a service registration center, a data chip selection service, a data synchronization service and a plurality of algorithm copies.
As shown in fig. 2, the DCS side is connected to a communication interface machine through a modbus communication module and an OPC (industrial standard) server, and represents a high-speed data channel and a standard data channel, respectively. The communication interface machine and the intelligent controller are in data communication through a source data channel and a control result channel.
The intelligent controller builds a redundancy algorithm operation environment based on a container technology, utilizes a cache database and a service registration center, and adopts a data synchronization technology and a data chip selection technology to realize the multi-copy operation of the control algorithm, thereby ensuring the high availability and fault tolerance of the control algorithm.
Referring to fig. 3, fig. 3 is a schematic diagram of a controller structure of a method for controlling a plug-in of a DCS controller according to an embodiment of the present application.
The overall architecture diagram of the intelligent controller is shown in fig. 3, a bottom layer is supported by a linux system, a container operation scheduling environment is deployed on the linux system, and a cache database, a service registration center, a data synchronization service, a data chip selection service and a plurality of algorithm copies are deployed based on a container technology.
The container operation scheduling environment provides a highly available and relatively independent environment for the operation of a plurality of assemblies, so that the problem of the whole assembly caused by the collapse of a single assembly is avoided, the quick restart after the assembly fails can be realized through the container technology, and the high availability is improved.
The role of the cache database is a key parameter of the cache control algorithm.
The service registration center is used for distributing ID for each algorithm copy, registering service, storing a service list, and reading the service list from the service registration center by the data synchronization service to perform data synchronization operation.
The data synchronization service is used for synchronizing key parameters of a plurality of algorithms and ensuring that errors can be corrected in time after the errors occur in a single algorithm.
And the data chip selection service receives the control results sent by the multiple algorithm containers, performs data chip selection, selects a final control result by a final chip, and transmits the final control result to the DCS side for control.
The algorithm container is used for packaging the control algorithm in one container, and simultaneously pulling up a plurality of copies to realize multi-copy redundancy, so that the fault tolerance of the algorithm is improved, and the control terminal cannot be caused by the failure of a single copy in the whole set of control algorithm.
The whole set of redundancy algorithm framework is that a DCS communication interface machine firstly sends measuring point data of a DCS to a source data pool of an intelligent controller in a fixed period, each source data is provided with a data ID with a unique identifier, the source data pool can push a strip of source data to three algorithm copies in a fixed period, the three algorithm copies can read key parameter values from a buffer database after receiving the source data, algorithm operation is carried out, a control result is sent to a data chip selection center, the data chip selection center selects a plurality of received control result data according to a chip selection strategy, an optimal control result is selected and sent to the DCS communication interface machine, and then the optimal control result is sent to the DCS for process control.
The data synchronization center can acquire the algorithm copy which is selected at the highest frequency in a period of time at present from the data chip selection center as a synchronization reference, key parameters of the other two algorithm copies are kept consistent with key parameters of the reference copy, the consistency of the three copies is ensured, and the deviated algorithm can be corrected to be in a normal state in time.
Referring to fig. 4, fig. 4 is a schematic diagram illustrating a chip select service flow of a plug-in control method of a DCS controller according to an embodiment of the present application.
Referring to fig. 4, the data chip selection service refers to that three algorithm copies simultaneously send three control results, data selection is performed through the data chip selection service, and the optimal control result is returned to the DCS communication interface machine and then returned to the DCS for control.
The data chip selection service comprises a data receiving queue, a data sending queue and a data chip selection service. The data receiving queue comprises all control result data packets sent from the algorithm copy, the data sending queue comprises data packets which are prepared to be sent to the DCS communication interface machine through chip selection, and the data chip selection service is responsible for pulling data from the data receiving queue and selecting the data according to a chip selection strategy.
The data chip selection service performs priority ranking according to the frequency of the selected algorithm copies, and controls the algorithm copy with the highest frequency of the selected result data to have the highest priority.
The data chip selection strategy comprises two strategies of free competition and CRC (cyclic redundancy check) check.
Wherein, the free competition strategy is as follows: each control result data packet sent by the control algorithm is provided with a self-increasing ID, the data chip selection center analyzes the ID of each piece of received control result data and stores the ID of the last processed result data, and if the ID of the currently received control result data is less than or equal to the ID of the last processed result data, the control information related to the data ID is processed, and the data is directly discarded; if the ID of the currently received control result data is larger than the ID of the last processed result data, the control information related to the data ID is not processed, and the data is placed in a data sending queue and sent to the DCS communication interface machine.
And (3) CRC check strategy: each piece of control result data comprises a CRC flag bit for checking whether the control results of the two control algorithms are consistent, after receiving a piece of control result data, the data chip selection service waits for a period of time T, scans a data receiving queue, pulls all data packets consistent with the ID of the current control result data, and performs comparative analysis on the CRC values of the data packets, which includes the following three conditions:
first, if only one copy of data is received, the data chip select service directly processes the data.
Secondly, if two copies of data are received, the result data sent by the algorithm copy with the highest priority is selected for processing.
Thirdly, if three copies of data are received, the method is divided into three cases:
(1) and if the CRC values of the three pieces of data are consistent, the three pieces of control result data are the same, and the data sent by the algorithm copy with the highest priority is selected for processing.
(2) If the CRC values of any two data in the three pieces of data are consistent, the inconsistent data is excluded, and the data with higher priority in the two pieces of data with consistent CRC is taken for processing.
(3) And if the CRC values of the three pieces of data are not consistent, processing the data sent by the algorithm copy with the highest priority.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating a synchronization service flow of a plug-in control method of a DCS controller according to an embodiment of the present application.
Referring to fig. 5, after the system is started, three algorithm copies are started, the system is connected with a service registry to obtain IDs allocated to the system, then KEY values are spliced according to the IDs and used as KEY values of KEY parameters in a cache database, after the system is normally operated, the algorithm copies continuously receive source data, the latest KEY parameters are pulled from the cache database according to the KEY values, algorithm operation is executed according to the KEY parameters, the KEY parameter values are changed by the algorithm operation, and the KEY parameter values after the algorithm operation are written back to the cache database.
The data synchronization service is started and then firstly connected with a service registration center to acquire the current registered algorithm information to form a service list, and then connected with a cache database, the algorithm synchronization center monitors the change of the registration service of the service registration center, and if a new algorithm service is registered, the algorithm synchronization center performs key parameter synchronization operation on the newly registered service. If any registered algorithm service is unregistered, the data synchronization service deletes the service from the service list.
For the services in the service list, the data synchronization service acquires the priority of the current algorithm from the data chip selection service, finds out the algorithm ID with the highest priority, and then synchronously modifies the key parameters of the other two algorithm copies in the cache database by taking the key parameters of the algorithm in the cache database as the reference, thereby realizing the synchronization of the key parameters.
Therefore, in the embodiment, the control algorithm is calculated on the measured point data by controlling the plurality of algorithm copies at the same time to obtain a plurality of control results, and the target control result is selected instead of the single algorithm, so that the stability of algorithm execution is maintained, the optimal algorithm can be selected to execute the process control, and the reliability and effectiveness of the process control are improved.
In the following, the plug-in control device provided in the embodiment of the present application is introduced, and the plug-in control device described below and the plug-in control method described above may be referred to correspondingly.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an external hanging control device of a DCS according to an embodiment of the present application.
In this embodiment, the apparatus may include:
a data receiving module 100, configured to receive measurement point data from a DCS controller;
the multi-algorithm copy calculation module 200 is used for controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results;
a result selection module 300, configured to select multiple control results based on a chip selection policy to obtain a target control result;
and a result sending module 400, configured to send the target control result to the DCS control, so that the DCS controller performs process control using the target control result.
Optionally, the data receiving module 100 is specifically configured to receive the measurement point data from the DCS controller according to a preset period; and storing the measuring point data into a source data pool.
Optionally, the multi-algorithm copy calculation module 200 is specifically configured to send the measurement point data to each algorithm copy container respectively; controlling each algorithm copy container to read key parameter values from the buffer database; and controlling each algorithm copy container to calculate the measurement point data based on the key parameter values to obtain a corresponding control result.
Optionally, the result selection module 300 is specifically configured to perform effect prediction on multiple control results based on a chip selection policy to obtain an effect value corresponding to each control result; selecting the control result with the maximum effect value as the target control result
Optionally, the apparatus may further include:
the replica synchronization module is used for counting the selection result of the target control result to obtain the selection frequency corresponding to each algorithm replica container; selecting an algorithm copy container with the maximum frequency as a reference copy; when a synchronization condition is triggered, key parameter values of the base replica are synchronized to other algorithm replica containers.
An embodiment of the present application further provides a computing device, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the plug-in control method according to the embodiment when executing the computer program.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the plug-in control method according to the above embodiment are implemented.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The plug-in control method, the plug-in control device, the computing device and the computer readable storage medium of the DCS controller provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
Claims (10)
1. A DCS controller plug-in control method is characterized by comprising the following steps:
receiving measuring point data from a DCS controller;
controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results;
selecting the control results based on a chip selection strategy to obtain a target control result;
and sending the target control result to the DCS control so that the DCS controller can carry out process control by adopting the target control result.
2. The store control method of claim 1, wherein receiving site data from the DCS controller comprises:
receiving the measuring point data from the DCS controller according to a preset period;
and storing the measuring point data into a source data pool.
3. The plug-in control method according to claim 1, wherein controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results comprises:
respectively sending the measurement point data to each algorithm copy container;
controlling each algorithm copy container to read key parameter values from a buffer database;
and controlling each algorithm copy container to calculate the measuring point data based on the key parameter values to obtain a corresponding control result.
4. The plug-in control method according to claim 1, wherein selecting the plurality of control results based on a chip selection policy to obtain a target control result comprises:
performing effect prediction on the plurality of control results based on a chip selection strategy to obtain an effect value corresponding to each control result;
and selecting the control result with the maximum effect value as the target control result.
5. The store-externally controlling method according to claim 1, further comprising:
counting the selection results of the target control results to obtain the selection frequency corresponding to each algorithm copy container;
taking the algorithm copy container with the maximum selection frequency as a reference copy;
and when a synchronization condition is triggered, synchronizing the key parameter values of the basic copy to other algorithm copy containers.
6. An externally-hung control device of a DCS is characterized by comprising:
the data receiving module is used for receiving the measuring point data from the DCS controller;
the multi-algorithm copy calculation module is used for controlling a plurality of algorithm copy containers to perform control algorithm calculation on the measuring point data to obtain a plurality of control results;
the result selection module is used for selecting the control results based on the chip selection strategy to obtain a target control result;
and the result sending module is used for sending the target control result to the DCS control so that the DCS controller can carry out process control by adopting the target control result.
7. The store-on control device according to claim 6, wherein the data receiving module is specifically configured to receive the measurement point data from the DCS controller according to a preset period; and storing the measuring point data into a source data pool.
8. The strap-on control device according to claim 6, wherein said multiple algorithm copy calculation module is specifically configured to send said measurement point data to each of said algorithm copy containers, respectively; controlling each algorithm copy container to read key parameter values from a buffer database; and controlling each algorithm copy container to calculate the measuring point data based on the key parameter values to obtain a corresponding control result.
9. A computing device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the plug-in control method according to any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the plug-in control method according to one of claims 1 to 5.
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