WO2020114978A1 - Device and method for creating piping and instrument diagram (p&id) for power plant - Google Patents
Device and method for creating piping and instrument diagram (p&id) for power plant Download PDFInfo
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- WO2020114978A1 WO2020114978A1 PCT/EP2019/083337 EP2019083337W WO2020114978A1 WO 2020114978 A1 WO2020114978 A1 WO 2020114978A1 EP 2019083337 W EP2019083337 W EP 2019083337W WO 2020114978 A1 WO2020114978 A1 WO 2020114978A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/14—Pipes
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Definitions
- a power plant persona comprises at least one type of information about power plant system requirements, information about power plant process requirements, information about power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements.
- FIG. 4 is a schematic diagram of a piping and instrument diagram (P&ID) creation system according to an exemplary embodiment .
- P&ID piping and instrument diagram
- the P&ID mechanism creation unit 310 may be implemented as the same device or unit with the piping and instrument diagram (P&ID) creation unit 300, or may be a separate device and unit for executing their algorithm/system respectively.
- P&ID piping and instrument diagram
- P&ID mechanism creation system 311 obtained by training, and then, according to the inputted piping and instrument diagram (P&ID) , obtain a P&ID mechanism that corresponds to the piping and instrument diagram (P&ID) .
- P&ID piping and instrument diagram
- the P&ID mechanism creation unit 310 may create a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) .
- Such a historical P&ID mechanism may be further used for training the piping and instrument diagram (P&ID) creation system 301.
- a P&ID mechanism may be used to plot the meaning conveyed by using a symbol used for a piping and instrument diagram (P&ID) , the meaning conveyed by using a connection between symbols, etc.
- a historical power plant persona may be obtained manually or may be obtained automatically on the basis of the historical requirement information about a historical power plant project
- the piping and instrument diagram (P&ID) creation unit 300 may comprise a power plant persona creation unit 330.
- the power plant persona creation unit 330 may, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using the power plant persona creation system 331, automatically create a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) .
- the power plant persona creation system 331 may be a trained artificial intelligence algorithm. Therefore, the power plant persona creation unit 330 may be a device or unit that has computing power for executing such an algorithm.
- a target piping and instrument diagram may be created by using a piping and instrument diagram (P&ID) creation system.
- the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) .
- said deep learning algorithm may comprise a deep belief network (DBN) .
- DBN deep belief network
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Abstract
The present invention provides a device and method for creating a piping and instrument diagram (P&ID) for a power plant. Said device comprises: a requirement input unit, configured to input initial requirements of a target power plant project; and a piping and instrument diagram (P&ID) creation unit, configured to, based on initial requirements, create a target piping and instrument diagram (P&ID) by using a piping and instrument diagram (P&ID) creation system, wherein the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID), a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID), and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID).
Description
DEVICE AND METHOD FOR CREATING PIPING AND INSTRUMENT DIAGRAM
(P&ID) FOR POWER PLANT
Technical Field
The present invention relates to a device and method for creating a piping and instrument diagram (P&ID) for a power plant .
Background Art
When developing a power plant design, an engineer creates a piping and instrument diagram (P&ID) for each system in a power plant based on specific requirements, boundary condition, local standard, policy requirements, etc. for a power plant project. For different power plant design projects, different requirements need to be met; highly similar power plant projects still differ more or less. Therefore, an engineer needs to develop a project design based on the requirements for the power plant project, according to standards, or by modifying a P&ID template.
Currently, a power plant design engineer can establish a relationship between an instrument symbol and piping by using a computer-aided design (CAD) tool, for example, AutoCAD, or can automatically establish such a relationship by using, for example, a COMOS P&ID template and configurator. However, such a method requires template analysis, as well as creation of appropriate configurators and an enormous amount of templates.
Summary of the Invention
An objective of the present invention is to solve the above- mentioned problem and/or other problems by providing a device and method for creating a piping and instrument diagram (P&ID) for a power plant .
In an exemplary embodiment, a device for creating a piping and instrument diagram (P&ID) for a power plant comprises: a requirement input unit, configured to input initial requirements of a target power plant project; and a piping and instrument diagram (P&ID) creation unit, configured to, based
on initial requirements, create a target piping and instrument diagram (P&ID) by using a piping and instrument diagram (P&ID) creation system, wherein the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) . For example, said deep learning algorithm comprises a deep belief network (DBN) .
The piping and instrument diagram (P&ID) creation unit comprises: a P&ID mechanism creation unit, configured to, based on a historical piping and instrument diagram (P&ID) , and by using a P&ID mechanism creation system, create a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) , wherein the P&ID mechanism creation system is obtained by using a pattern recognition algorithm (CNN) using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a piping and instrument diagram (P&ID) template meeting a preset standard, and a piping and instrument diagram (P&ID) legend meeting a preset standard. For example, said pattern recognition algorithm comprises a convolutional neural network (CNN) .
The piping and instrument diagram (P&ID) creation unit comprises: a power plant persona creation unit, configured to, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using a power plant persona creation system, create a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) , wherein the power plant persona creation system is obtained by using a supervisory learning algorithm using, as training data, at least one type of historical requirement information about a historical power plant project and the historical power plant persona that
corresponds to the historical piping and instrument diagram (P&ID) of the historical power plant project. For example, said supervisory learning algorithm comprises a Gaussian mixture model (GMM) .
Here, a power plant persona comprises at least one type of information about power plant system requirements, information about power plant process requirements, information about power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements.
Requirement information comprises at least one type of information about power grid requirements, information about power plant performance requirements, information about policy and regulatory requirements, information about standard requirements, information about environmental requirements, and information about power plant persona requirements.
Said device further comprises: an identification unit, configured to identify a created target piping and instrument diagram (P&ID) by using a KKS power plant identification system, thereby obtaining an identified target piping and instrument diagram (P&ID) .
Therefore, the piping and instrument diagram (P&ID) creation unit may, based on initial requirements, create, by using the power plant persona creation unit, a target power plant persona that corresponds to a target piping and instrument diagram (P&ID) , and then, based on the target power plant persona, create a target piping and instrument diagram (P&ID) by using the P&ID mechanism creation unit.
In addition, an exemplary embodiment further provides a method for creating a piping and instrument diagram (P&ID) for a power plant, characterized in that said method comprises: inputting initial requirements of a target power plant project;
and creating, based on initial requirements, a target piping and instrument diagram (P&ID) by using a piping and instrument diagram (P&ID) creation system, wherein the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) . For example, said deep learning algorithm comprises a deep belief network (DBN) .
Said method further comprises: creating, based on a historical piping and instrument diagram (P&ID) , and by using a P&ID mechanism creation system, a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) , wherein the P&ID mechanism creation system is obtained by using a pattern recognition algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a piping and instrument diagram (P&ID) template meeting a preset standard, and a piping and instrument diagram (P&ID) legend meeting a preset standard. For example, said pattern recognition algorithm comprises a convolutional neural network (CNN) .
Said method further comprises: creating, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using a power plant persona creation system, a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) , wherein the power plant persona creation system is obtained by using a supervisory learning algorithm using, as training data, at least one type of historical requirement information about a historical power plant project and the historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) of the historical power plant project. For example, said supervisory learning algorithm
comprises a Gaussian mixture model (GMM) .
Here, a power plant persona comprises at least one type of information about power plant system requirements, information about power plant process requirements, information about power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements. Requirement information comprises at least one type of information about power grid requirements, information about power plant performance requirements, information about policy and regulatory requirements, information about standard requirements, information about environmental requirements, and information about power plant persona requirements.
Said method further comprises: identifying a created target piping and instrument diagram (P&ID) by using a KKS power plant identification system, thereby obtaining an identified target piping and instrument diagram (P&ID) .
Therefore, the step of creating a target piping and instrument diagram (P&ID) comprises: creating, based on initial requirements and by using a power plant persona creation system, a target power plant persona that corresponds to a target piping and instrument diagram (P&ID) , and then creating, based on the target power plant persona and by using a piping and instrument diagram (P&ID) creation system, a target piping and instrument diagram (P&ID) .
In addition, an exemplary embodiment further provides an electronic device, said electronic device comprising: at least one processor; and a memory coupled to said at least one processor, said memory storing an instruction that, when executed by said at least one processor, causes said electronic device to execute the method as described above.
In addition, an exemplary embodiment further provides a
nonvolatile machine-readable medium, said nonvolatile machine- readable medium storing a computer-executable instruction that, when executed, causes at least one processor to execute the method as described above.
In addition, an exemplary embodiment further provides a computer program, comprising a computer-executable instruction that, when executed, causes at least one processor to execute the method as described above.
As mentioned above, a device according to the exemplary embodiment may, by using a trained artificial intelligence algorithm or system, automatically obtain a piping and instrument diagram (P&ID) based on requirement information about a target power plant . An engineer may make further adjustments based on an obtained piping and instrument diagram (P&ID), thereby obtaining a final result; alternatively, an engineer may directly use an obtained piping and instrument diagram (P&ID) as a result of the power plant project. Thus, the amount of time required for and workload of piping and instrument diagram (P&ID) design may be reduced.
Brief Description of the Drawings
The following drawings are intended to illustratively describe and explain, instead of limiting the scope of, the present invention, wherein
Figure 1 is a schematic diagram of a device for creating a piping and instrument diagram (P&ID) for a power plant according to an exemplary embodiment;
Figure 2 is a schematic diagram of a P&ID mechanism creation system according to an exemplary embodiment;
Figure 3 is a schematic diagram of a power plant persona creation system according to an exemplary embodiment; and
Figure 4 is a schematic diagram of a piping and instrument diagram (P&ID) creation system according to an exemplary embodiment .
Description of reference numerals:
100: Requirement input unit
300: Piping and instrument diagram (P&ID) creation unit 500: Identification unit
Specific Embodiments
In order to provide a better understanding of the technical features, objectives, and beneficial effects of the present invention, specific embodiments of the present invention will be described below with reference to the drawings.
Figure 1 is a schematic diagram for a device for creating a piping and instrument diagram (P&ID) for a power plant according to an exemplary embodiment. As shown in Figure 1, a device according to an exemplary embodiment comprises a requirement input unit 100 and a piping and instrument diagram (P&ID) creation unit 300.
The requirement input unit 100 may input or obtain initial requirements of a target power plant project. For example, when developing a P&ID design for a target power plant, it is possible to manually input requirement information about the target power plant project by using the requirement input unit 100. Thus, the requirement input unit 100 may comprise, for example, a graphical user interface, for conveniently inputting requirement information. Further, the requirement input unit 100 may, based on, for example, a project proposal or any other project preparation document of the target power plant project, automatically obtain initial requirements. However, the exemplary embodiment is not limited thereto; in another exemplary embodiment, any data needed for training an algorithm (system) used for the piping and instrument diagram (P&ID) creation unit 300 may also be inputted or obtained by using the requirement input unit 100.
When the target requirements of the target power plant project is to be inputted or obtained by using the requirement input unit 100, the piping and instrument diagram (P&ID) creation unit 300 may create a target piping and instrument diagram (P&ID) based on initial requirements and by using a piping and instrument diagram (P&ID) creation system 301 (see Figure 4) .
Here, the piping and instrument diagram (P&ID) creation system 301 may be a trained artificial intelligence algorithm. Therefore, the piping and instrument diagram (P&ID) creation unit 300 may be a device or unit that has computing power for executing such an algorithm. The piping and instrument diagram (P&ID) creation system 301 and a training method thereof will be described below in detail.
In an exemplary embodiment, the piping and instrument diagram (P&ID) creation system 301 may be obtained by training with relevant information about a future or historical power plant project. For example, the system may be obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) of a historical power plant project design, a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) . Here, the deep learning algorithm may be a deep belief network (DBN) or any other appropriate deep learning algorithm.
In this exemplary embodiment, the historical piping and instrument diagram (P&ID) of a historical power plant project design in the data used for training may be known; for example, it may be the piping and instrument diagram (P&ID) of a power plant project previously completed. A historical P&ID mechanism may be one that corresponds to a historical piping and instrument diagram (P&ID) .
A historical P&ID mechanism may be obtained manually or automatically based on a historical piping and instrument diagram (P&ID) . For example, the piping and instrument diagram (P&ID) creation unit 300 may comprise the P&ID mechanism creation unit 310. The P&ID mechanism creation unit 310 may, based on a piping and instrument diagram (P&ID) and by using a P&ID mechanism creation system 311, create a P&ID mechanism that corresponds to the piping and instrument diagram (P&ID) . Here, the P&ID mechanism creation system 311 may be a trained
artificial intelligence algorithm. Thereffore, the P&ID mechanism creation unit 310 may be a device or unit that has computing power for executing such an algorithm. For example, the P&ID mechanism creation unit 310 may be implemented as the same device or unit with the piping and instrument diagram (P&ID) creation unit 300, or may be a separate device and unit for executing their algorithm/system respectively. The P&ID mechanism creation system and a training method thereof will be described below with reference to Figure 2.
Figure 2 is a schematic diagram for a P&ID mechanism creation system according to an exemplary embodiment . As shown in Figure 2, the P&ID mechanism creation system 311 may be obtained by inputting, as training data, at least one of a historical piping and instrument diagram (P&ID) , a piping and instrument diagram (P&ID) template meeting a preset standard, and a piping and instrument diagram (P&ID) legend meeting a preset standard into a selected pattern recognition algorithm. In an exemplary embodiment, a convolutional neural network (CNN) may be used as a pattern recognition algorithm for training, thereby obtaining the P&ID mechanism creation system 311.
Therefore, the P&ID mechanism creation unit 310 may run the
P&ID mechanism creation system 311 obtained by training, and then, according to the inputted piping and instrument diagram (P&ID) , obtain a P&ID mechanism that corresponds to the piping and instrument diagram (P&ID) . For example, if a historical piping and instrument diagram (P&ID) is inputted, the P&ID mechanism creation unit 310 may create a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) . Such a historical P&ID mechanism may be further used for training the piping and instrument diagram (P&ID) creation system 301. Here, a P&ID mechanism may be used to plot the meaning conveyed by using a symbol used for a piping and instrument diagram (P&ID) , the meaning conveyed by using a connection between symbols, etc.
A historical power plant persona used for training may be
power plant persona information that is included in a historical piping and instrument diagram (P&ID) corresponding to a historical power plant project or that is used for plotting a historical piping and instrument diagram (P&ID) , for example, one or more types of information about power plant system requirements, information about power plant process requirements, information about power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements. For example, information about power plant system requirements may comprise requirement information about a water supply system, a condensate system, a main vapor system , etc.; information about power plant main component requirements may comprise requirement information about a gas turbine, a steam turbine, a generator, etc.; and information about power plant scheme selection requirements may comprise layout-related requirement information about single-axle/one- to-one, multi-axle, two-to-one, etc. Historical power plant persona information may be power plant persona information obtained by an engineer based on a historical power plant project. Here, requirement information about a power plant project may comprise one or more types of information about power grid requirements, information about power plant performance requirements, information about policy and regulatory requirements, information about standard requirements, information about environmental requirements, and information about power plant persona requirements. For example, information about power plant performance requirements may, for example, be a combined circulatory efficiency of 50% or higher under an ISO work condition, a thermal load of 300 MW or higher at each unit, a thermoelectric rate of 60% or higher, etc.; information about environmental requirements may, for example, be nitrogen oxide emission (calculated by N02) < 20 mg/m3, sulfur dioxide emission < 35 mg/m3, etc.; and information about power plant persona requirements may, for example, be the need for adding a housing to an exhaust-heat boiler, etc.
A historical power plant persona may be obtained manually or may be obtained automatically on the basis of the historical requirement information about a historical power plant project For example, the piping and instrument diagram (P&ID) creation unit 300 may comprise a power plant persona creation unit 330. The power plant persona creation unit 330 may, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using the power plant persona creation system 331, automatically create a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) . Here, the power plant persona creation system 331 may be a trained artificial intelligence algorithm. Therefore, the power plant persona creation unit 330 may be a device or unit that has computing power for executing such an algorithm. For example, the power plant persona creation unit 330 may be implemented as the same device or unit with the piping and instrument diagram (P&ID) creation unit 300, or may be a separate device and unit for executing their algorithm/system respectively. The P&ID mechanism creation system and a training method thereof will be described below with reference to Figure 3.
Figure 3 is a schematic diagram for a power plant persona creation system according to an exemplary embodiment. As shown in Figure 3, the power plant persona creation system 331 may be obtained by inputting, as training data, at least one type of historical requirement information about a historical power plant project and the historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) of the historical power plant project into a selected supervisory learning algorithm. In an exemplary embodiment, a Gaussian mixture model (GMM) may be used as a pattern recognition algorithm for training, thereby obtaining the power plant persona creation system 331.
Therefore, the power plant persona creation unit 330 may run the power plant persona creation system 331 obtained by
training and, based on the inputted requirement information about a historical or target power plant project, obtain a historical or current power plant persona that corresponds to the requirement information about the historical or target power plant project.
Figure 4 is a schematic diagram for a piping and instrument diagram (P&ID) creation system according to an exemplary embodiment. As shown in Figure 4, the piping and instrument diagram (P&ID) creation system may be obtained by training with a deep learning algorithm DBN using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) . Specifically, the P&ID mechanism creation unit 310 may create a historical P&ID mechanism based on a historical piping and instrument diagram (P&ID) and by using a P&ID mechanism creation system, and input the created historical P&ID mechanism as training data into a deep learning algorithm DBN. Further, the power plant persona creation unit 330 may, based on historical requirement information about a historical power plant project that corresponds to the historical piping and instrument diagram (P&ID) , obtain the historical power plant persona information that corresponds to the historical power plant project, and provide the created historical power plant persona information as training data to the deep learning algorithm DBN. Therefore, training may be carried out by using such input data and the deep learning algorithm DBN, thereby finally obtaining the piping and instrument diagram (P&ID) creation system 301. The piping and instrument diagram (P&ID) creation system 301 obtained by training may, with the target requirements of the target power plant project as input, obtain the piping and instrument diagram (P&ID) of the expected target power plant.
However, an exemplary embodiment is not limited thereto. For example, in another exemplary embodiment, said device may further comprise an identification unit 500, as shown in
Figure 1. The identification unit 500 may identify a created target piping and instrument diagram (P&ID) , thereby obtaining an identified target piping and instrument diagram (P&ID) . For example, the identification unit 500 may carry out identification by using a Kraftwerk-Kennzeichen system (KKS) , thereby obtaining a KKS-identified piping and instrument diagram (P&ID) .
As mentioned above, a device according to the exemplary embodiment may, by using a trained artificial intelligence algorithm or system, automatically obtain a piping and instrument diagram (P&ID) based on requirement information about a target power plant . An engineer may make further adjustments based on an obtained piping and instrument diagram (P&ID), thereby obtaining a final result; alternatively, an engineer may directly use an obtained piping and instrument diagram (P&ID) as a result of the power plant project. Thus, the amount of time required for and workload of piping an instrument diagram (P&ID) design may be reduced.
In addition, according to an exemplary embodiment, a method for creating a piping and instrument diagram (P&ID) for a power plant is further provided. Said method may be executed by using the device as described above with reference to Figures 1 to 4. Therefore, repetitive descriptions of the same or similar features will be omitted.
First, initial requirements of a target power plant project may be inputted. Then, based on initial requirements, a target piping and instrument diagram (P&ID) may be created by using a piping and instrument diagram (P&ID) creation system. Here, the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) . For example, said deep learning algorithm may comprise a deep
belief network (DBN) .
In order obtain a P&ID mechanism, said method may be used to, based on a historical piping and instrument diagram (P&ID) , and by using a P&ID mechanism creation system, create a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) , Here, the P&ID mechanism creation system is obtained by using a pattern recognition algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a piping and instrument diagram (P&ID) template meeting a preset standard, and a piping and instrument diagram (P&ID) legend meeting a preset standard. For example, said pattern recognition algorithm may comprise a convolutional neural network (CNN) .
In order to obtain a power plant persona, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using a power plant persona creation system, a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) may be created. Here, the power plant persona creation system is obtained by using a supervisory learning algorithm using, as training data, at least one type of historical requirement information about a historical power plant project and the historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) of the historical power plant project. For example, said supervisory learning algorithm comprises a Gaussian mixture model (GMM) .
Here, a power plant persona comprises at least one type of information about power plant system requirements, information about power plant process requirements, information about power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements. Requirement information may comprise at least one type of information about power grid
requirements, information about power plant performance requirements, information about policy and regulatory requirements, information about standard requirements, information about environmental requirements, and information about power plant persona requirements.
When a target piping and instrument diagram (P&ID) is created, a target power plant persona that corresponds to the target piping and instrument diagram (P&ID) may be created on the basis of initial requirements and by using a power plant persona creation system; then, a target piping and instrument diagram (P&ID) may be created on the basis of the target power plant persona and by using a P&ID creation system. After creation of a piping and instrument diagram (P&ID) , the created target piping and instrument diagram (P&ID) may further be identified, for example, by using a KKS power plant identification system, to obtain an identified piping and instrument diagram (P&ID) .
A device and method for creating a piping and instrument diagram (P&ID) for a power plant according to the present application have been described above with reference to Figures 1 to 4. The above-described device for determining existence of any dependence violations in source code may be implemented by hardware, by software, or by using a combination of hardware and software.
In the present application, a device for creating a piping and instrument diagram (P&ID) for a power plant may be implemented by an electronic device. According to an embodiment, the electronic device may comprise at least one processor, and the processor executes at least one computer-readable instruction (namely, the above-mentioned element implemented by software) stored or coded in a computer-readable storage medium (namely, a memory) .
In an embodiment, the memory stores a computer-executable instruction that, when executed, causes at least one processor to execute the above-described method for creating a piping
and instrument diagram (P&ID) for a power plant.
It should be understood that a computer-executable instruction stored in the memory, when executed, causes at least one processor to perform the various operations and functions of each embodiment of the present invention described above with reference to Figures 1 to 4.
According to an embodiment, a program product, for example, a nonvolatile machine-readable medium, is provided. The nonvolatile machine-readable medium may comprise an instruction (namely, the above-described element implemented by software) ; the instruction, when executed, causes the machine to perform the various operations and functions of each embodiment of the present application described above with reference to Figures 1 to 4.
According to an embodiment, a computer program is provided, comprising a computer-executable instruction; said computer- executable instruction, when executed, causes at least one processor to perform the various operations and functions of each embodiment of the present application described above with reference to Figures 1 to 4.
It should be understood that, although the specification describes the embodiments separately, an embodiment does not contain only one independent technical solution, and that such a method of description is only for the sake of clarity; those of ordinary skill in the art should treat the specification as a whole, and the technical solutions provided in the embodiments can be appropriately combined into other embodiments that those of ordinary skill in the art understand
The above-described specific embodiments are only illustrative of the present invention, instead of limiting the scope of the present invention. Any equivalent variations, modifications, or combinations made by any of those of ordinary skill in the art without departing from the spirit or principle of the prevent invention shall fall within the scope of the present
invention .
Claims
1. A device for creating a piping and instrument diagram (P&ID) for a power plant, characterized in that said device comprises: a requirement input unit (100) , configured to input initial requirements of a target power plant project; and
a piping and instrument diagram (P&ID) creation unit (300) , configured to, based on initial requirements, create a target piping and instrument diagram (P&ID) by using a piping and instrument diagram (P&ID) creation system,
wherein the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) .
2. The device as claimed in claim 1, characterized in that said deep learning algorithm comprises a deep belief network.
3. The device as claimed in claim 1, characterized in that said piping and instrument diagram (P&ID) creation unit (300) comprises :
a P&ID mechanism creation unit (310) , configured to, based on a historical piping and instrument diagram (P&ID) , and by using a P&ID mechanism creation system, create a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) ,
wherein the P&ID mechanism creation system is obtained by using a pattern recognition algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a piping and instrument diagram (P&ID) template meeting a preset standard, and a piping and instrument diagram (P&ID) legend meeting a preset standard.
4. The device as claimed in claim 3, characterized in that said pattern recognition algorithm comprises a convolutional neural network.
5. The device as claimed in claim 3, characterized in that said piping and instrument diagram (P&ID) creation unit (300) comprises :
a power plant persona creation unit (330) , configured to, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using a power plant persona creation system, create a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) ,
wherein the power plant persona creation system is obtained by using a supervisory learning algorithm using, as training data, at least one type of historical requirement information about a historical power plant project and the historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) of the historical power plant project .
6. The device as claimed in claim 5, characterized in that said supervisory learning algorithm comprises a Gaussian mixture model.
7. The device as claimed in claim 5, characterized in that a power plant persona comprises at least one type of information about power plant system requirements, information about power plant process requirements, information about power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements.
8. The device as claimed in claim 5, characterized in that requirement information comprises at least one type of information about power grid requirements, information about power plant performance requirements, information about policy and regulatory requirements, information about standard requirements, information about environmental requirements,
and information about power plant persona requirements.
9. The device as claimed in claim 1, characterized in that said device further comprises:
an identification unit (500) , configured to identify a created target piping and instrument diagram (P&ID) by using a KKS power plant identification system, thereby obtaining an identified target piping and instrument diagram (P&ID) .
10. The device as claimed in claim 5, characterized in that said piping and instrument diagram (P&ID) creation unit (300) is configured to, based on initial requirements, create, by using the power plant persona creation unit (330) , a target power plant persona that corresponds to a target piping and instrument diagram (P&ID) , and then, based on the target power plant persona, create a target piping and instrument diagram (P&ID) by using the P&ID mechanism creation unit (310) .
11. A method for creating a piping and instrument diagram (P&ID) for a power plant, characterized in that said method comprises :
inputting initial requirements of a target power plant project; and
creating, based on initial requirements, a target piping and instrument diagram (P&ID) by using a piping and instrument diagram (P&ID) creation system,
wherein the piping and instrument diagram (P&ID) creation system is obtained by training with a deep learning algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a historical P&ID mechanism that corresponds to a historical piping and instrument diagram (P&ID) , and a historical power plant persona that corresponds to a historical piping and instrument diagram (P&ID) .
12. The method as claimed in claim 11, characterized in that said deep learning algorithm comprises a deep belief network.
13. The method as claimed in claim 11, characterized in that said method further comprises:
creating, based on a historical piping and instrument diagram (P&ID) , and by using a P&ID mechanism creation system, a historical P&ID mechanism that corresponds to the historical piping and instrument diagram (P&ID) ,
wherein the P&ID mechanism creation system is obtained by using a pattern recognition algorithm using, as training data, at least one of a historical piping and instrument diagram (P&ID) , a piping and instrument diagram (P&ID) template meeting a preset standard, and a piping and instrument diagram (P&ID) legend meeting a preset standard.
14. The method as claimed in claim 13, characterized in that said pattern recognition algorithm comprises a convolutional neural network.
15. The method as claimed in claim 13, characterized in that said method further comprises:
creating, based on historical requirement information about the historical power plant project that corresponds to a historical piping and instrument diagram (P&ID) , and by using a power plant persona creation system, a historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) ,
wherein the power plant persona creation system is obtained by using a supervisory learning algorithm using, as training data, at least one type of historical requirement information about a historical power plant project and the historical power plant persona that corresponds to the historical piping and instrument diagram (P&ID) of the historical power plant project .
16. The method as claimed in claim 15, characterized in that said supervisory learning algorithm comprises a Gaussian mixed model .
17. The method as claimed in claim 15, characterized in that a power plant persona comprises at least one type of information about power plant system requirements, information about power plant process requirements, information about
power plant main component requirements, information about power plant instrument requirements, information about power plant equipment requirements, information about power plant scheme selection requirements, and information about power plant legend requirements; and
requirement information comprises at least one type of information about power grid requirements, information about power plant performance requirements, information about policy and regulatory requirements, information about standard requirements, information about environmental requirements, and information about power plant persona requirements.
18. The method as claimed in claim 11, characterized in that said method further comprises:
identifying a created target piping and instrument diagram (P&ID) by using a KKS power plant identification system, thereby obtaining an identified target piping and instrument diagram (P&ID) .
19. The method as claimed in claim 15, characterized in that the step of creating a target piping and instrument diagram (P&ID) comprises:
creating, based on initial requirements and by using a power plant persona creation system, a target power plant persona that corresponds to a target piping and instrument diagram (P&ID) , and then creating, based on the target power plant persona and by using a piping and instrument diagram (P&ID) creation system, a target piping and instrument diagram (P&ID)
20. An electronic device, characterized by comprising:
at least one processor; and
a memory coupled to said at least one processor, said memory storing an instruction that, when executed by said at least one processor, causes said electronic device to execute the method as claimed in any one of claims 11 to 19.
21. A nonvolatile machine-readable medium, characterized in that said nonvolatile machine-readable medium stores a computer-executable instruction that, when executed, causes at
least one processor to execute the method as claimed in any one of claims 11 to 19.
22. A computer program, comprising a computer-executable instruction that, when executed, causes at least one processor to execute the method as claimed in any one of claims 11 to 19
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