CN114240038A - Risk diagnosis and auxiliary experience system and method for full-range simulator of nuclear power station - Google Patents

Risk diagnosis and auxiliary experience system and method for full-range simulator of nuclear power station Download PDF

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Publication number
CN114240038A
CN114240038A CN202111329261.4A CN202111329261A CN114240038A CN 114240038 A CN114240038 A CN 114240038A CN 202111329261 A CN202111329261 A CN 202111329261A CN 114240038 A CN114240038 A CN 114240038A
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China
Prior art keywords
risk
data
experience
full
risk identification
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Inventor
王晓星
毛伟
邢卫东
尹路
罗霄
陈立刚
骆艺雄
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Cgn Huizhou Nuclear Power Co ltd
China General Nuclear Power Corp
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Cgn Huizhou Nuclear Power Co ltd
China General Nuclear Power Corp
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Priority to CN202111329261.4A priority Critical patent/CN114240038A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The invention relates to a risk diagnosis and auxiliary experience system and method of a nuclear power station full-range simulator, which comprises the following steps: the system comprises an experience feedback data unit, a standard database unit and a risk identification and auxiliary experience tool system; the experience feedback data unit is used for processing historical key experience feedback data and forming key experience information of a process corresponding to the full-range simulator; the standard database unit is used for providing standard data for the risk identification and auxiliary experience tool system; the risk identification and auxiliary experience tool system is respectively connected with the experience feedback data unit and the standard database unit and is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and the project data, and outputting a risk identification result and auxiliary experience information. The invention can carry out full-dimensional risk diagnosis and identification on the full-range simulator, determine the main risk points in time and realize efficient and targeted management and control.

Description

Risk diagnosis and auxiliary experience system and method for full-range simulator of nuclear power station
Technical Field
The invention relates to the technical field of nuclear power station full-range simulators, in particular to a risk diagnosis and auxiliary experience system and method of a nuclear power station full-range simulator.
Background
The full-range simulator is used as special equipment and a system of the nuclear power station, has the characteristics of physical independence and technical specificity, and implements independent management measures in the prior project. The related risk identification is evaluated and predicted only depending on the technical level and project experience of an implementer, and other personnel can hardly master the main potential risks and corresponding experience feedback of the equipment and each stage, each link and the interface of the system in a short time; and the nuclear power plant also lacks a perfect and professional experience feedback platform of the equipment and the system, only a small amount of hardware experience feedback is included in the experience feedback range of the whole plant, and lacks experience feedback, project risk and a relevance reaction platform of work tasks. The discrete huge data are manually integrated by implementation personnel, so that engineers with abundant experience are difficult to clearly comb in a short time and make analysis and prejudgment, and the overall potential risks of the project are difficult to summarize and form macroscopic knowledge, so that efficient and targeted control and participation cannot be implemented, and main risk points cannot be determined in time.
Disclosure of Invention
The invention aims to solve the technical problem of providing a risk diagnosis and auxiliary experience system and method of a full-range simulator of a nuclear power station aiming at the defects of the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a risk diagnosis and auxiliary experience system of a full-range simulator of a nuclear power station is constructed, and comprises the following components: the system comprises an experience feedback data unit, a standard database unit and a risk identification and auxiliary experience tool system;
the experience feedback data unit is used for processing historical key experience feedback data and forming key experience information of a process corresponding to the full-range simulator;
the standard database unit is used for providing standard data for the risk identification and auxiliary experience tool system;
the risk identification and auxiliary experience tool system is respectively connected with the experience feedback data unit and the standard database unit and is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and project data and outputting a risk identification result and auxiliary experience information.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant, the experience feedback data unit includes: an experience feedback database and a key experience feedback auxiliary system;
the experience feedback database is used for integrating the historical key experience feedback data to form feedback experience data;
the key experience feedback auxiliary system is connected with the experience feedback database and used for calculating and processing data of the experience feedback database to generate key experience information.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant according to the present invention, the risk identification and auxiliary experience tool system includes: a risk identification unit and an auxiliary experience tool unit;
the risk identification unit is used for carrying out risk identification on the full-range simulator according to the key experience information and the standard data and outputting identification data;
and the auxiliary experience tool unit is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulator by combining project data according to the identification data and outputting a risk identification result and auxiliary experience information.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant, the key experience information includes: the progress experience information, the supply manufacturer experience information and the supply range experience information; the standard data includes: the data processing method comprises the following steps of (1) working task classification standard data, historical manufacturer data and supply range standard data; the identification data includes: the system comprises progress risk data, supply manufacturer risk data and supply range risk data;
the risk identification unit includes: the system comprises a progress risk identification module, a supply manufacturer risk identification module and a supply range risk identification module;
the progress risk identification module is used for identifying the progress risk of the full-range simulator according to the progress experience information and by combining with the work task grading standard data and outputting the progress risk data;
the supply manufacturer risk identification module is used for identifying the supply manufacturer risk of the full-range simulator according to the supply manufacturer experience information and by combining historical manufacturer data and outputting the supply manufacturer risk data;
the supply range risk identification module is used for identifying the supply range risk of the full-range simulator according to the supply range experience information and by combining supply range standard data and outputting supply range risk data.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant, the key experience information further includes: historical hard software platform experience information, test resource experience information and sub supply package experience information; the standard data further includes: historical hard software platform data, test resource standard data and sub-supply package standard data; the identification data further comprises: historical hard software platform risk data, test resource risk data and cost deviation risk data;
the risk identification unit further comprises: the system comprises a hardware and software platform risk identification module, a test resource risk identification module and a cost deviation risk identification module;
the hardware and software platform risk identification module is used for carrying out risk identification on a hardware and software platform of the full-range simulator according to historical hardware and software platform experience information and combined with historical hardware and software platform data and outputting the historical hardware and software platform risk data;
the test resource risk identification module is used for identifying the test resource risk of the full-range simulator according to the test resource experience information and by combining with the test resource standard data and outputting the test resource risk data;
the cost deviation risk identification module is used for identifying the cost deviation risk of the full-range simulator according to the sub supply package experience information and by combining the sub supply package standard data, and outputting the cost deviation risk data.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant, the standard database unit includes: a work task item standard database arranged corresponding to the progress risk identification module, a historical manufacturer database arranged corresponding to the supply manufacturer risk identification module, and a supply range standard database arranged corresponding to the supply range risk identification module;
the work task item standard database is connected with the progress risk identification module and is used for providing the work task item standard data for the progress risk identification module;
the historical manufacturer database is connected with the supply manufacturer risk identification module and is used for providing the historical manufacturer data for the supply manufacturer risk identification module;
the supply range standard database is connected with the supply range risk identification module and is used for providing the supply range standard data for the supply range risk identification module.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant according to the present invention, the standard database unit further includes: a historical hard software platform database arranged corresponding to the hard software platform risk identification module, a test resource standard database arranged corresponding to the test resource risk identification module, and a sub-supply package standard database arranged corresponding to the cost deviation risk identification module;
the historical hard software platform database is connected with the cost deviation risk identification module and is used for providing the historical hard software platform data for the cost deviation risk identification module;
the test resource standard database is connected with the test resource risk identification module and is used for providing the test resource standard data for the test resource risk identification module;
and the sub-supply package standard database is connected with the cost deviation risk identification module and is used for providing the sub-supply package standard data for the cost deviation risk identification module.
In the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power station, the work task item standard database, the historical manufacturer database, the supply range standard database, the historical hard software platform database, the test resource standard database and the sub supply package standard database are mutually independent.
The risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power station further comprises: the data import unit is connected with the risk identification and auxiliary experience tool system, and the analysis result export unit is connected with the risk identification and auxiliary experience tool system;
the data import unit is used for importing the project data;
the analysis result derivation unit is configured to derive the risk identification result and the auxiliary experience information.
The invention also provides a risk diagnosis and auxiliary experience method of the nuclear power station full-range simulator, which comprises the following steps:
acquiring key experience information;
acquiring standard data;
acquiring project data;
and carrying out full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and the project data, and outputting a risk identification result and auxiliary experience information.
The risk diagnosis and auxiliary experience system and method of the full-range simulator of the nuclear power station have the following beneficial effects: the method comprises the following steps: the system comprises an experience feedback data unit, a standard database unit and a risk identification and auxiliary experience tool system; the experience feedback data unit is used for processing historical key experience feedback data and forming key experience information of a process corresponding to the full-range simulator; the standard database unit is used for providing standard data for the risk identification and auxiliary experience tool system; the risk identification and auxiliary experience tool system is respectively connected with the experience feedback data unit and the standard database unit and is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and the project data, and outputting a risk identification result and auxiliary experience information. The invention can carry out full-dimensional risk diagnosis and identification on the full-range simulator, determine the main risk points in time and realize efficient and targeted management and control.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic block diagram of a risk diagnosis and auxiliary experience system of a full-range simulator of a nuclear power plant according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a risk diagnosis and auxiliary experience method of a full-range simulator of a nuclear power plant according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
The risk diagnosis and auxiliary experience system and method for the nuclear power station full-range simulator can realize the full-period risk diagnosis and implementation process auxiliary monitoring of the full-range simulator project, and can provide auxiliary experience information aiming at different stages and different working requirements so as to provide expert advice.
Referring to fig. 1, a schematic block diagram of an alternative embodiment of a risk diagnosis and auxiliary experience system of a full-range simulator of a nuclear power plant according to the present invention is shown.
Specifically, as shown in fig. 1, the risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant includes: experience feedback data unit 10, criteria database unit 30 and risk identification and auxiliary experience tool system 20.
In the embodiment of the present invention, the experience feedback data unit 10 is configured to process historical key experience feedback data and form key experience information of a process corresponding to the full-range simulator.
Optionally, in some embodiments, the empirical feedback data unit 10 may include: an experience feedback database 11 and a key experience feedback assistance system 12.
The experience feedback database 11 is configured to integrate historical key experience feedback data to form feedback experience data. Specifically, the experience feedback database 11 is connected to the key experience feedback auxiliary system 12, and provides a data source for the key experience feedback auxiliary system 12. That is, the experience feedback database 11 integrates the existing historical key experience feedback data to form a database of key experience feedback data (i.e., the experience feedback database 11). Further, the experience feedback database 11 of the embodiment of the present invention is a dynamic database, i.e. the data amount and data content of the database are still expanded in the subsequent process.
The key experience feedback auxiliary system 12 is connected to the experience feedback database 11, and is configured to calculate and process data in the experience feedback database 11 to generate key experience information.
Specifically, the key experience feedback auxiliary system 12 is mainly used for calculating and processing data in the experience feedback database 11 to generate main experience feedback standard data and elements (i.e. key experience information) of the corresponding process of the full-range simulator, and the generated main experience feedback standard data and elements are used for invoking and using the risk identification and auxiliary experience tool system 20 to form expert opinions.
In an embodiment of the present invention, the criteria database unit 30 is used to provide the risk identification and auxiliary experiential tool system 20 with criteria data.
In the embodiment of the present invention, the risk identification and auxiliary experience tool system 20 is respectively connected to the experience feedback data unit 10 and the standard database unit 30, and is configured to perform full-dimensional risk diagnosis and identification on the full-range simulation machine according to the key experience information, the standard data and the project data, and output a risk identification result and auxiliary experience information.
Optionally, in some embodiments, the risk identification and assistant experience tool system 20 may include: a risk identification unit 21 and an auxiliary experience tool unit 22.
The risk identification unit 21 is configured to perform risk identification on the full-range simulator according to the key experience information and the standard data, and output identification data. And the auxiliary experience tool unit 22 is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulation machine according to the identification data and combining the project data, and outputting a risk identification result and auxiliary experience information.
Specifically, after receiving the project data to be diagnosed, the assistant experience tool unit 22 analyzes and compares the received project data (i.e., the project data of the full-range simulator and the supporting system) with the standard data, and finally provides different risk identification conclusions for different types of risk modules.
Optionally, in the embodiment of the present invention, the key experience information includes: the progress experience information, the supply manufacturer experience information and the supply range experience information. The standard data includes: the system comprises work task grading standard data, historical manufacturer data and supply range standard data. The identification data includes: progress risk data, supply manufacturer risk data and supply range risk data. Further, in the embodiment of the present invention, the key experience information further includes: historical hard software platform experience information, test resource experience information and sub-supply package experience information. The standard data further includes: historical hard software platform data, test resource standard data and sub-supply package standard data. The identification data further includes: historical hard software platform risk data, test resource risk data, and cost bias risk data.
Optionally, in this embodiment of the present invention, the risk identifying unit 21 may include: the risk identification unit 21 includes: a progress risk identification module 211, a supplier risk identification module 212, and a supply range risk identification module 213.
Specifically, the progress risk identification module 211 is configured to identify the progress risk of the full-range simulator according to the progress experience information and by combining with the work task classification standard data, and output the progress risk data.
The supplier risk identification module 212 is configured to identify the supplier risk of the full-range simulator according to the supplier experience information and by combining historical manufacturer data, and output supplier risk data.
The supply range risk identification module 213 is configured to identify the supply range risk of the full-range simulator according to the supply range experience information and by combining the supply range standard data, and output the supply range risk data.
Further, in this embodiment of the present invention, the risk identifying unit 21 further includes: a hard software platform risk identification module 214, a test resource risk identification module 215, and a cost deviation risk identification module 216.
Specifically, the hardware and software platform risk identification module 214 is configured to perform risk identification on a hardware and software platform of the full-range simulation machine according to historical hardware and software platform experience information and in combination with historical hardware and software platform data, and output historical hardware and software platform risk data.
The test resource risk identification module 215 is configured to identify the test resource risk of the full-range simulator according to the test resource experience information and by combining the test resource standard data, and output test resource risk data.
The cost deviation risk identification module 216 is configured to identify the cost deviation risk of the full-range simulation machine according to the sub supply package experience information and by combining the sub supply package standard data, and output the cost deviation risk data.
Optionally, in this embodiment of the present invention, the standard database unit 30 includes: a work task item standard database 31 corresponding to the progress risk identification module 211, a historical manufacturer database 32 corresponding to the supply manufacturer risk identification module 212, and a supply range standard database 33 corresponding to the supply range risk identification module 213.
Specifically, the work task item standard database 31 is connected to the progress risk identification module 211, and is configured to provide the work task item standard data to the progress risk identification module 211.
The historical vendor database 32 is connected to the supplier risk identification module 212 and is configured to provide the historical vendor data to the supplier risk identification module 212.
The supply range standard database 33 is connected to the supply range risk identification module 213, and is used for providing the supply range standard data to the supply range risk identification module 213.
Further, in the embodiment of the present invention, the standard database unit 30 further includes: historical hard software platform database 34 disposed in correspondence with hard software platform risk identification module 214, test resource criteria database 35 disposed in correspondence with test resource risk identification module 215, and sub-offering package criteria database 36 disposed in correspondence with cost deviation risk identification module 216.
The particular historical hard software platform database 34 is coupled to the cost deviation risk identification module 216 for providing historical hard software platform data to the cost deviation risk identification module 216.
The test resource criteria database 35 is connected to the test resource risk identification module 215, and is configured to provide the test resource criteria data to the test resource risk identification module 215.
The sub-offering standard database 36 is connected to the cost deviation risk identification module 216 and is configured to provide the sub-offering standard data to the cost deviation risk identification module 216.
Further, in the embodiment of the present invention, the work task itemization standard database 31, the historical manufacturer database 32, the supply range standard database 33, the historical hard software platform database 34, the test resource standard database 35, and the sub-supply package standard database 36 are independent from each other. Namely, the work task subentry standard database 31, the historical manufacturer database 32, the goods supply range standard database 33, the historical hard software platform database 34, the test resource standard database 35 and the sub goods supply package standard database 36 can be arranged in corresponding servers, and each database is an independent database, and is independent from each other without data interaction.
Optionally, in the embodiment of the present invention, the work task itemized standard database 31 is mainly used for storing data including but not limited to: task modularization classification data, work task item data, work task labeling period data, experience feedback data associated with each work task and the like.
In the embodiment of the present invention, the historical manufacturer database 32 is mainly used for storing, but not limited to, supplier data and the like.
In the embodiment of the present invention, the supply range standard database 33 is mainly used for storing, but not limited to, a detailed list of supply ranges.
In the embodiment of the present invention, the historical hard software platform database 34 is mainly used for storing, but not limited to, the software and hardware classification and the experience feedback associated with each sub-item.
In the embodiment of the present invention, the test resource standard database 35 is mainly used for storing, but not limited to, test resources (such as test platforms, testers, test arrangements, etc.), test resource classifications, and experience feedback associated with sub-items thereof.
In the embodiment of the present invention, the sub-offering packet standard database 36 is mainly used for storing, but not limited to, the contents of the sub-offering packets, the reference values of the sub-offering packets, and the associated experience feedback.
Further, in the embodiment of the present invention, the risk diagnosis and auxiliary experience system of the full-range nuclear power plant simulator further includes: the system comprises a data import unit 40 connected with the risk identification and auxiliary experience tool system 20 and an analysis result export unit 50 connected with the risk identification and auxiliary experience tool system 20.
Wherein the data importing unit 40 is used for importing the project data. Optionally, the project data may be project data of a full-range simulator and a supporting system.
The analysis result derivation unit 50 is configured to derive a risk identification result and auxiliary experience information.
Optionally, in the embodiment of the present invention, the analysis result deriving unit 50 may use a human-computer interaction module to display and perform early warning. Alternatively, in other embodiments, the output may be in tabular and text formats.
Further, in the embodiment of the present invention, the analysis result covers multiple dimensions, including but not limited to, aspects such as progress, quality, cost, resources, and the like. Specifically, it may mainly include: risk caused by the difference between the risk supply manufacturer and the supply range related to the project progress, difference risk of a hard software platform, resource risk of test design, cost deviation risk and the like, and finally after the basic information of the project to be judged is imported into the risk identification and auxiliary experience tool system 20, the risk identification and auxiliary experience tool system 20 judges the basic information of the project and carries out identification analysis based on the data output by each risk identification module so as to comprehensively generate a multi-dimensional risk early warning list. It will be appreciated that when significant attention is required to any risk, ancillary empirical information may be generated to assist engineers or analysts in decision making.
Referring to fig. 2, a schematic flow chart of an alternative embodiment of a risk diagnosis and auxiliary experience method for a full-range nuclear power plant simulator provided in the present invention is shown. The risk diagnosis and auxiliary experience method of the nuclear power station full-range simulator can be realized by the risk diagnosis and auxiliary experience system of the nuclear power station full-range simulator disclosed by the embodiment of the invention.
Specifically, as shown in fig. 2, the risk diagnosis and auxiliary experience method for the full-range simulator of the nuclear power plant includes the following steps:
and step S201, acquiring key experience information.
And step S202, acquiring standard data.
Step S203, acquiring project data.
And S204, performing full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and the project data, and outputting a risk identification result and auxiliary experience information.
The risk diagnosis and auxiliary experience system of the nuclear power station full-range simulator provided by the embodiment of the invention is a set of auxiliary expert systems, can assist an engineer to manage and control projects, promotes each work of subsequent full-range simulator projects to be more standardized, refined and strictly controlled in cost, and is suitable for personnel at each level by configuring a convenient human-computer interaction interface.
By adopting the risk diagnosis and auxiliary experience system of the nuclear power station full-range simulator, the period of the project of the full-range simulator can be greatly optimized, and the project schedule of the project full-range simulator of a first-stage project of a certain nuclear power station is greatly shortened compared with the project schedule of the project full-range simulator of the certain nuclear power station.
The embodiments in the present description are described in a progressive manner, 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 invention.
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 above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the claims of the present invention.

Claims (10)

1. A risk diagnosis and auxiliary experience system of a full-range simulator of a nuclear power station is characterized by comprising the following components: the system comprises an experience feedback data unit, a standard database unit and a risk identification and auxiliary experience tool system;
the experience feedback data unit is used for processing historical key experience feedback data and forming key experience information of a process corresponding to the full-range simulator;
the standard database unit is used for providing standard data for the risk identification and auxiliary experience tool system;
the risk identification and auxiliary experience tool system is respectively connected with the experience feedback data unit and the standard database unit and is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and project data and outputting a risk identification result and auxiliary experience information.
2. The risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant as claimed in claim 1, wherein the experience feedback data unit comprises: an experience feedback database and a key experience feedback auxiliary system;
the experience feedback database is used for integrating the historical key experience feedback data to form feedback experience data;
the key experience feedback auxiliary system is connected with the experience feedback database and used for calculating and processing data of the experience feedback database to generate key experience information.
3. The risk diagnosis and auxiliary experience system of the nuclear power plant full-range simulator of claim 1, wherein the risk identification and auxiliary experience tool system comprises: a risk identification unit and an auxiliary experience tool unit;
the risk identification unit is used for carrying out risk identification on the full-range simulator according to the key experience information and the standard data and outputting identification data;
and the auxiliary experience tool unit is used for carrying out full-dimensional risk diagnosis and identification on the full-range simulator by combining project data according to the identification data and outputting a risk identification result and auxiliary experience information.
4. The risk diagnosis and auxiliary experience system of the nuclear power plant full-range simulator of claim 3, wherein the key experience information comprises: the progress experience information, the supply manufacturer experience information and the supply range experience information; the standard data includes: the data processing method comprises the following steps of (1) working task classification standard data, historical manufacturer data and supply range standard data; the identification data includes: the system comprises progress risk data, supply manufacturer risk data and supply range risk data;
the risk identification unit includes: the system comprises a progress risk identification module, a supply manufacturer risk identification module and a supply range risk identification module;
the progress risk identification module is used for identifying the progress risk of the full-range simulator according to the progress experience information and by combining with the work task grading standard data and outputting the progress risk data;
the supply manufacturer risk identification module is used for identifying the supply manufacturer risk of the full-range simulator according to the supply manufacturer experience information and by combining historical manufacturer data and outputting the supply manufacturer risk data;
the supply range risk identification module is used for identifying the supply range risk of the full-range simulator according to the supply range experience information and by combining supply range standard data and outputting supply range risk data.
5. The risk diagnosis and auxiliary experience system of the nuclear power plant full-range simulator of claim 4, wherein the key experience information further comprises: historical hard software platform experience information, test resource experience information and sub supply package experience information; the standard data further includes: historical hard software platform data, test resource standard data and sub-supply package standard data; the identification data further comprises: historical hard software platform risk data, test resource risk data and cost deviation risk data;
the risk identification unit further comprises: the system comprises a hardware and software platform risk identification module, a test resource risk identification module and a cost deviation risk identification module;
the hardware and software platform risk identification module is used for carrying out risk identification on a hardware and software platform of the full-range simulator according to historical hardware and software platform experience information and combined with historical hardware and software platform data and outputting the historical hardware and software platform risk data;
the test resource risk identification module is used for identifying the test resource risk of the full-range simulator according to the test resource experience information and by combining with the test resource standard data and outputting the test resource risk data;
the cost deviation risk identification module is used for identifying the cost deviation risk of the full-range simulator according to the sub supply package experience information and by combining the sub supply package standard data, and outputting the cost deviation risk data.
6. The risk diagnosis and auxiliary experience system of a full-scope simulator of a nuclear power plant as claimed in claim 5, wherein the standard database unit comprises: a work task item standard database arranged corresponding to the progress risk identification module, a historical manufacturer database arranged corresponding to the supply manufacturer risk identification module, and a supply range standard database arranged corresponding to the supply range risk identification module;
the work task item standard database is connected with the progress risk identification module and is used for providing the work task item standard data for the progress risk identification module;
the historical manufacturer database is connected with the supply manufacturer risk identification module and is used for providing the historical manufacturer data for the supply manufacturer risk identification module;
the supply range standard database is connected with the supply range risk identification module and is used for providing the supply range standard data for the supply range risk identification module.
7. The risk diagnosis and auxiliary experience system of a full-scope simulator of a nuclear power plant as claimed in claim 6, wherein the standard database unit further comprises: a historical hard software platform database arranged corresponding to the hard software platform risk identification module, a test resource standard database arranged corresponding to the test resource risk identification module, and a sub-supply package standard database arranged corresponding to the cost deviation risk identification module;
the historical hard software platform database is connected with the cost deviation risk identification module and is used for providing the historical hard software platform data for the cost deviation risk identification module;
the test resource standard database is connected with the test resource risk identification module and is used for providing the test resource standard data for the test resource risk identification module;
and the sub-supply package standard database is connected with the cost deviation risk identification module and is used for providing the sub-supply package standard data for the cost deviation risk identification module.
8. The risk diagnosis and assisted-experience system of the full-scope simulator of the nuclear power plant as claimed in claim 7, wherein the task item standard database, the historical manufacturer database, the supply scope standard database, the historical hard software platform database, the test resource standard database and the sub-supply package standard database are independent of each other.
9. The risk diagnosis and auxiliary experience system of the full-range simulator of the nuclear power plant as claimed in any one of claims 1 to 7, further comprising: the data import unit is connected with the risk identification and auxiliary experience tool system, and the analysis result export unit is connected with the risk identification and auxiliary experience tool system;
the data import unit is used for importing the project data;
the analysis result derivation unit is configured to derive the risk identification result and the auxiliary experience information.
10. A risk diagnosis and auxiliary experience method for a full-range simulator of a nuclear power station is characterized by comprising the following steps:
acquiring key experience information;
acquiring standard data;
acquiring project data;
and carrying out full-dimensional risk diagnosis and identification on the full-range simulator according to the key experience information, the standard data and the project data, and outputting a risk identification result and auxiliary experience information.
CN202111329261.4A 2021-11-10 2021-11-10 Risk diagnosis and auxiliary experience system and method for full-range simulator of nuclear power station Pending CN114240038A (en)

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